Abstract
Background: Migraine is a prevalent, recurrent condition with substantial disease burden. Chinese herbal medicine (CHM) has been used frequently for migraine in controlled clinical settings. This study is to summarise the characteristics of patients who seek clinical care in a tertiary Chinese medicine hospital in China; to gather their preferences and values of using CHM; to explore the effect of CHM for migraine and its comorbidities in a real-world setting, and to collect first-hand expertise of clinicians’ practice pattern in prescribing CHM for migraine.
Methods: This registry-based cohort study was prospectively conducted at Guangdong Provincial Hospital of Chinese Medicine from December 2020 to May 2022. Adult migraine patients seeking their initial anti-migraine clinical care at the hospital were consecutively recruited and followed up for 12 weeks. Practitioners specialised in headache management prescribed individualised treatments without research interference. Standardised case report forms were employed to gather information on patients’ preferences and perspective of seeking clinical care, as well as to assess participants’ migraine severity, comorbidities, and quality of life, at 4-weeks intervals. Various analytical methods were utilised based on the computed data.
Results: In this study, we observed 248 participants. Of these, 73 received CHM treatment for 28 days or longer. Notably, these participants exhibited a greater disease severity, compared to those treated with CHM for less than 28 days. Of the 248 participants, 83.47% of them expected CHM would effectively reduce the severity of their migraine, around 50% expected effects for migraine-associated comorbidities, while 51.61% expressing concerns about potential side effects. CHM appeared to be effective in reducing monthly migraine days and pain intensity, improving patients’ quality of life, and potentially reducing comorbid anxiety, with a minimum of 28 days CHM treatment. Herbs such as gan cao, gui zhi, chuan xiong, fu ling, bai zhu, yan hu suo, etc. were frequently prescribed for migraine, based on patients’ specific symptoms.
Conclusion: CHM appeared to be beneficial for migraine and comorbid anxiety in real-world clinical practice when used continuously for 28 days or more.
Clinical Trial Registration:clinicaltrials.gov, identifier ChiCTR2000041003.
1 Introduction
Migraine is a primary headache disorder characterised by recurrent, unilateral, pulsing or throbbing, moderate to severe headaches (). It is prevalent among 14% of global population (Stovner et al., 2022), and ranked as the second disabling condition with 42.1 million of global age-standardised years lived with disability (YLDs) (Safiri et al., 2022). Notably, females are more susceptible to migraine, and tend to report heightened migraine severity and associated disability (Pavlovic et al., 2017; Vetvik and MacGregor, 2017; ). Additionally, migraine commonly coexists with anxiety, depression and insomnia (; Freedom and Evans, 2013; ; ), and these comorbidities, in return, exacerbate the burden of migraine (; Walters et al., 2014; Seng et al., 2017; ; ) and predict a less favourable prognosis (; ).
Migraine is conventionally managed by prophylactic medications to reduce the frequency and severity of migraine attacks, as well as acute medications for temporary relief of pain and associated symptoms (; Pringsheim et al., 2012; Worthington et al., 2013; Orr et al., 2015; Scottish Intercollegiate Guidelines Network SIGN, 2018; ; ; ; ; ; ; Wu et al., 2022; The British Association for the study of headache BASH, 2023). However, lack of efficacy and undesirable side effects associated with the conventional pharmacotherapies were widely reported (Malik et al., 2006; ; Ford et al., 2017; ; Takeshima et al., 2019; Ueda et al., 2019; ; ; ). Inadequate treatment responses can lead to increased reliance on acute medications, while overuse of acute medications has emerged as a significant risk factor for migraine chronification (Xu et al., 2020). Effective patient education can potentially reverse the overuse of acute medications (Probyn et al., 2017). Investigation on patients’ preferences and values, especially the knowledge and behaviour regarding acute medication use, could form the basis for developing a customised patient education strategy.
Furthermore, due to the limitations of pharmacotherapies, migraine patients often seek complementary and alternative treatments, including Chinese herbal medicine (CHM), to complement their current treatment strategies (Wells et al., 2011; Rhee and Harris, 2018). In China, CHM is prescribed to over 60% of outpatient migraine cases according to a retrospective analysis of the China Health Insurance Research Association medical insurance claims database (Yu et al., 2020). Meta-analyses of randomised controlled trials (RCTs) have demonstrated the effectiveness of CHM for migraine in controlled settings (Zhou et al., 2013; ; Lyu et al., 2020; Lyu et al., 2022a). However, this existing evidence has limitations in terms of generalisability because of the highly selective eligibility criteria, unified interventions, and predefined treatment duration in RCT designs. CHM therapies in RCTs with these constraints do not align with real-world Chinese medicine clinical practices. As revealed by our earlier real-world analysis based on medical records, migraine patients with varied comorbidities received individually tailored CHM prescriptions over varying treatment durations (Lyu et al., 2022b). Quantitative evaluation is needed to assess the real-world effects of CHM on migraine and its comorbidities, complementing the evidence from RCTs. Moreover, the distinct patient profiles encountered in real-world clinical practice, along with their preferences and values regarding treatments from a Chinese medicine hospital, have been insufficiently explored. Nonetheless, this information has the potential to provide valuable insights for informed medical decision-making in clinical practice.
In light of these considerations, a prospective registry-based cohort study was undertaken to bridge the gap between research evidence and real-world clinical practice, and to support evidence-based Chinese medicine practice in managing migraines (Lyu et al., 2022c). The present manuscript is to portray a real-world representation of patients’ clinical characteristics, their preferences and values, their utilisation of treatment, and their responses to CHM interventions within the context of the studied Chinese medicine hospital.
2 Methods
2.1 Study design
This registry-based cohort study was undertaken at the Headache Department of the Guangdong Provincial Hospital of Chinese Medicine (GPHCM), a tertiary hospital in southern China (). Participant recruitment and follow-up observations commenced in December 2020 and ended in May 2022.
The study was approved by the ethics committee of GPHCM (ZE 2020-243-01) and registered with the Human Research Ethics Committee of RMIT University (#24235). Conduction of the study complied with the Declaration of Helsinki, Ethical Guidelines for Medical Research on Humans (), and the reporting of this study abides by the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement for cohort studies (von Elm et al., 2007).
2.1.1 Eligibility criteria
Adult migraine patients seeking anti-migraine treatments in the studied Chinese medicine hospital for the first time were eligible for the study. Once patients were confirmed with a diagnosis of migraine according to the International Classification of Headache Disorders, third edition (ICHD-3) (), and were prescribed tailored treatments by headache specialists, they were invited to provide a written informed consent of participating in the study. A consecutive sampling method was applied to screen and recruit participants, as it is the best nonprobability sampling methods at controlling sampling bias (Polit and Beck, 2020). Migraine patients would be excluded for registration and participation if they were not capable of giving written informed consent or completing case report forms (CRFs).
2.1.2 Intervention
Headache specialists prescribed individually tailored treatments to each participant, without additional interference from our research team. Participants would decide their treatment duration, with guidance from their headache specialists. Treatment details were later collected from participants’ medical records at completion of the 12-week observation period.
2.1.3 Data collection
Case report form was utilised to collect data. The CRFs encompassed a set of standardised questions and several validated questionnaires, to collect the demographic and general information, patients’ preferences and values, migraine severity (including monthly migraine frequency, monthly migraine days, peak pain measured by numeric rating scale (NRS) and migraine duration), migraine comorbidities (anxiety assessed by generalised anxiety disorder 7-item (GAD-7), depression by patient health questionnaire-9 (PHQ-9) and insomnia by insomnia severity index (ISI)), and migraine-specific quality of life (MSQ, in domains of role function-restrictive (RFR), role function-preventive (RFP), and emotional function (EF)). More details can be referred to the published study protocol and, the Chinese Clinical Trial Registry (No. ChiCTR2000041003) (Lyu et al., 2022c).
Participants completed their CRFs with assistance of researchers during their initial evaluation, via either hardcopy or digital web link. Subsequent rounds of data collection occurred at week 4, week 8 and week 12. Scheduled reminders were sent to participants to enhance their compliance during the follow-up period. Participants were encouraged to maintain a digital migraine diary to document their migraine attacks throughout the observation period, which was then cross-referenced with data collected from their CRFs.
2.1.4 Exposure and confounders
In this real-world cohort study, CHM treatment was predefined as the main exposure factor, and exposure levels were further measured by duration of CHM treatment. The participants were divided into two subgroups based on a cut-off duration of CHM treatment at 28 days, which is recommended as the least duration for migraine prophylaxis by clinical guidelines (
Scottish Intercollegiate Guidelines Network SIGN, 2018;
):
• Subgroup A: CHM ≥28 days
• Subgroup B: CHM <28 days
In addition, comorbidities of migraine, along with gender, baseline severity of migraine, and aura, were predefined as confounders.
2.1.5 Number of participants
This registry-based cohort study aimed to gather and investigate the real-world data in terms of migraine management and was conducted within a specific timeframe using a migraine cohort from a tertiary hospital. Given that no pre-determined hypotheses were to be tested, the necessity for sample size calculation was obviated ().
2.2 Analytical methods
Data analyses were performed based on imputed dataset, which was dealt with ‘multiple imputation’ by SPSS in advance (). Continuous variables such as monthly migraine days were described with mean values and standard deviation, and compared between subgroups using t-test. While categorical variables, like gender, were presented as frequencies and percentages, and compared using chi square test. In addition, generalised linear mixed models (GLMM) were utilised to analyse repeated-measured outcomes. The GLMMs accommodate both normally and non-normally distributed dependent variables, allowing for the incorporation of covariates and factors. GLMMs with random effects were deemed appropriate to analyse repeated-measured, and longitudinal data from the same subjects (; ). During conduction of GLMM analyses, continuous variables such as age, disease duration and the corresponding baseline assessment of the dependent variable, dichotomous variable of chronic migraine, and time-varying dichotomous variables of western medication usage for migraine prophylaxis and acute pain relief, were included as covariates.
3 Results
3.1 Summary of the study
A total of 248 migraine patients participated in this longitudinal observational study. Among them, 164 participants completed three follow-up assessments at Week 4, Week 8, and Week 12. However, 84 participants missed at least one follow-up evaluation due to personal reasons. Specifically, 206 participants completed assessment at week 4, 179 participants completed assessments at week 8, and 184 individuals completed it at week 12 (Figure 1). It is notably that participation or absence in one follow-up assessment did not determine their involvement status in subsequent assessments. All the 248 participants were included for analyses based on an imputed dataset.
FIGURE 1
3.2 Times of hospital visits and treatment duration
The mean times of hospital visits of the 248 migraine participants was 2.98, and 92 (37.1%) participants visited the hospital only once for their migraines within 12 weeks-observation period. As for treatment duration, 73 participants received CHM treatment for 28 days or more, and they were categorised as subgroup A (CHM ≥28 days). The remaining 175 participants undertook CHM treatment for less than 28 days, therefore were included in subgroup B (CHM <28 days).
3.3 Participants’ characteristics at baseline
Notably, participants from subgroup A exhibited a more advanced age and a longer migraine disease duration. In addition, disease severity measured by monthly migraine days, peak pain NRS and monthly migraine frequency in subgroup A significantly surpassed that of subgroup B. Moreover, the frequency of days on acute medications over the 4 weeks preceding the baseline assessment was notably higher in subgroup A in comparison to subgroup B (Table 1).
TABLE 1
| Total (n = 248) | CHM ≥28 days (n = 73) | CHM <28 days (n = 175) | Significance | |||||
|---|---|---|---|---|---|---|---|---|
| Characteristics | Item | Mean (Standard deviation) | df | t | p | |||
| Age, years | 35.40 (9.34) | 37.10 (9.76) | 34.70 (9.10) | 246 | −1.852 | 0.033* | ||
| Onset age, years | 25.44 (9.40) | 25.42 (9.34) | 25.44 (9.45) | 246 | 0.012 | 0.495 | ||
| Disease duration (years) | 9.96 (7.97) | 11.67 (7.58) | 9.25 (8.04) | 211.792 | −2.202 | 0.014* | ||
| Monthly migraine days (days) | 6.39 (6.89) | 8.05 (8.10) | 5.69 (6.20) | 108.855 | −2.234 | 0.014* | ||
| Peak pain NRS | 7.15 (1.99) | 7.51 (2.10) | 7.01 (1.93) | 246 | −1.814 | 0.035* | ||
| Monthly migraine frequency (valid number = 223) | 2.83 (2.24) | 3.42 (2.28) | 2.58 (2.18) | 221 | 2.560 | 0.006* | ||
| Migraine duration (hours, valid number = 223) | 21.04 (21.68) | 20.97 (21.46) | 21.06 (21.84) | 221 | 0.029 | 0.488 | ||
| MSQ-RFR | 59.07 (20.01) | 58.90 (20.04) | 59.14 (20.05) | 246 | 0.083 | 0.467 | ||
| MSQ-RFP | 67.74 (19.54) | 68.42 (17.62) | 67.46 (20.33) | 246 | −0.355 | 0.362 | ||
| MSQ-EF | 72.26 (21.78) | 73.78 (23.04) | 71.62 (21.27) | 246 | −0.710 | 0.239 | ||
| Generalised anxiety disorder-7 (GAD-7) | 5.94 (4.59) | 5.67 (4.34) | 6.06 (4.69) | 246 | 0.603 | 0.274 | ||
| Patient health quationnaire-9 (PHQ-9) | 6.31 (4.83) | 6.45 (4.88) | 6.26 (4.82) | 246 | −0.289 | 0.386 | ||
| Insomnia severity index (ISI) | 8.14 (5.96) | 8.29 (5.69) | 8.08 (6.08) | 246 | −0.250 | 0.402 | ||
| Days taking acute medication over 4 weeks prior to baseline assessment | 2.22 (4.20) | 3.53 (5.92) | 1.67 (3.09) | 88.795 | −2.553 | 0.006** | ||
| Item | Categorises | Number (%) | df | χ2 | p | |||
| Gender | Female | 219 (88.31) | 65 (89.04) | 154 (88.00) | 1 | 0.054 | 0.816 | |
| Male | 29 (11.69) | 8 (10.96) | 21 (12.00) | |||||
| Aura | Migraine with aura | 80 (32.26) | 20 (27.40) | 60 (34.29) | 1 | 1.119 | 0.290 | |
| Migraine without aura | 168 (67.74) | 53 (72.60) | 115 (65.71) | |||||
| Family history | Yes | 111 (44.76) | 31 (42.47) | 80 (45.71) | 1 | 0.220 | 0.639 | |
| No | 137 (55.24) | 42 (57.53) | 95 (54.29) | |||||
| Chronic migraine | Yes | 25 (10.08) | 9 (12.33) | 16 (9.14) | 1 | 0.577 | 0.448 | |
| No | 223 (89.92) | 64 (87.67) | 159 (90.86) | |||||
| Pure menstrual migraine △ (valid number = 219) | Yes | 71 (32.42) | 24 (36.90) | 47 (30.50) | 2 | 1.940 | 0.370 | |
| No | 122 (55.71) | 36 (55.40) | 86 (55.80) | |||||
| Unclear | 26 (11.87) | 5 (7.70) | 21 (13.60) | |||||
| Menstrually related migraine △ (valid number = 219) | Yes | 120 (54.79) | 41 (63.08) | 79 (51.30) | 2 | 2.647 | 0.266 | |
| No | 44 (20.09) | 10 (15.38) | 34 (22.08) | |||||
| Unclear | 55 (25.11) | 14 (21.54) | 41 (26.62) | |||||
| Acute medication use | Yes | 151 (60.89) | 50 (68.49) | 101 (57.71) | 1 | 2.513 | 0.113 | |
| No | 97 (39.11) | 23 (31.51) | 74 (42.29) | |||||
| Prophylactic medication use | Yes | 14 (5.65) | 9 (12.30) | 5 (2.90) | 1 | 6.989 | 0.008** | |
| No | 234 (94.35) | 64 (87.70) | 170 (97.10) | |||||
| Comorbidities | Anxiety (by GAD-7 ≥ 5)# | Yes | 147 (59.27) | 42 (57.53) | 105 (60.00) | 1 | 0.130 | 0.719 |
| No | 101 (40.73) | 31 (42.47) | 70 (40.00) | |||||
| Depression (by PHQ-9 ≥ 5)# | Yes | 152 (61.29) | 46 (63.01) | 106 (60.57) | 1 | 0.130 | 0.719 | |
| No | 96 (38.71) | 27 (36.99) | 69 (39.43) | |||||
| Insomnia (by ISI ≥ 7)# | Yes | 118 (47.58) | 36 (49.30) | 82 (46.90) | 1 | 0.125 | 0.724 | |
| No | 130 (52.42) | 37 (50.70) | 93 (53.10) | |||||
Baseline characteristics, comorbidities of migraine participants.
Note: # The comorbidities were assessed by cutting-off scores of the corresponding scales. * difference is significant at the 0.05 level, ** difference is significant at the 0.01 level, EF: emotional function, GAD-7: Generalised Anxiety Disorder 7-item Scale, ISI: insomnia severity index scale, MSQ: migraine specific quality of life questionnaire, N: number, NRS: numeric rating scale, PHQ-9: Patient Health Questionnaire-9, RFP: role function-preventive, RFR: role function-restrictive.
3.4 Preferences and values survey at baseline
Patients’ preferences and values regarding their coming treatments at their initial visits are presented in Table 2. The effect of treatments on migraine severity was unsurprisingly the most popular expectation by 207 (83.47%) of the participants, while the potential side effects of the treatments were concerned by 128 (51.61%) of the participants. In addition, nearly half of the participants expected their treatments to show extended effects in improving sleeping quality (n = 116, 46.77%), regulating psychological status (n = 110, 44.35%) and promoting quality of life (n = 104, 41.94%). Furthermore, 115 (46.37%) of the participants voiced apprehensions regarding the treatment duration. Interestingly, only one third (n = 80, 32.26%) of the participants expected the treatment effects in reducing their usage of acute medications. There was not statistical between-subgroup difference regarding any item of the preferences and values.
TABLE 2
| Preferences and values | Response | Frequency (%*) | Comparison between subgroups | ||||
|---|---|---|---|---|---|---|---|
| Total (n = 248) | CHM ≥28 days (n = 73) | CHM <28 days (n = 175) | χ2 | df | p | ||
| The effects of medications on migraine symptoms | Selected | 207 (83.47) | 66 (90.41) | 141 (80.57) | 3.614 | 1 | 0.057 |
| Not selected | 41 (16.53) | 7 (9.59) | 34 (19.43) | ||||
| Potential side effects of medications | Selected | 128 (51.61) | 39 (53.42) | 89 (50.86) | 0.136 | 1 | 0.712 |
| Not selected | 120 (48.39) | 34 (46.58) | 86 (49.14) | ||||
| The effects of medications on sleep quality | Selected | 116 (46.77) | 35 (47.95) | 81 (46.29) | 0.057 | 1 | 0.811 |
| Not selected | 132 (53.23) | 38 (52.05) | 94 (53.71) | ||||
| Treatment duration | Selected | 115 (46.37) | 35 (47.95) | 80 (45.71) | 0.103 | 1 | 0.748 |
| Not selected | 133 (53.63) | 38 (52.05) | 95 (54.29) | ||||
| The effects of medications on psychological status | Selected | 110 (44.35) | 38 (52.05) | 72 (41.14) | 2.485 | 1 | 0.115 |
| Not selected | 138 (55.65) | 35 (47.95) | 103 (58.86) | ||||
| The effects of medications on quality of life | Selected | 104 (41.94) | 37 (50.68) | 67 (38.29) | 3.252 | 1 | 0.071 |
| Not selected | 144 (58.06) | 36 (49.32) | 108 (61.71) | ||||
| Whether the treatment can reduce acute medication usage | Selected | 80 (32.26) | 28 (38.36) | 52 (29.71) | 1.76 | 1 | 0.185 |
| Not selected | 168 (67.74) | 45 (61.64) | 123 (70.29) | ||||
| The frequency of taking medication | Selected | 60 (24.19) | 17 (23.29) | 43 (24.57) | 0.046 | 1 | 0.83 |
| Not selected | 188 (75.81) | 56 (76.71) | 132 (75.43) | ||||
| Out-of-pocket cost caused by the treatment | Selected | 60 (24.19) | 14 (19.18) | 46 (26.29) | 1.419 | 1 | 0.234 |
| Not selected | 188 (75.81) | 59 (80.82) | 129 (73.71) | ||||
| The convenience of taking medications | Selected | 50 (20.16) | 10 (13.70) | 40 (22.86) | 2.684 | 1 | 0.101 |
| Not selected | 198 (79.84) | 63 (86.30) | 135 (77.14) | ||||
| Acceptance of the treatment | Selected | 34 (13.71) | 7 (9.59) | 27 (15.43) | 1.485 | 1 | 0.223 |
| Not selected | 214 (86.29) | 66 (90.41) | 148 (84.57) | ||||
Patients’ preferences and values.
Note: * percentage within column.
3.5 Western medications usage
As indicated by Figure 2, the percentage of participants taking acute medications declined from 60.89% at baseline to 43.48% at week 4 but climbed up again to 58.38% at week 12. In contrast, the percentage of participants taking prophylactic medications remained around 5% throughout the observation period.
FIGURE 2
Detailed descriptions of self-administrated acute medication usage at baseline are presented in Table 3. Among the 151 participants reporting taking acute medications for their migraines at baseline, the most common classification of acute medications was monotherapy of non-migraine specific acute medications, including Ibuprofen (n = 80, 52.98%) and Paracetamol (n = 31, 20.53%). In contrast, migraine specific acute medication, such as triptans (n = 5, 3.31%) and ergotamine (n = 1, 0.66%), were only used by a limited number of migraine participants (Table 3).
TABLE 3
| Category of acute medication | Number (%) (total number = 151) | |||
|---|---|---|---|---|
| Single | Non-migraine specific acute medication | NSAIDs | Ibuprofen | 80 (52.98%) |
| Diclofenac | 3 (1.99%) | |||
| Celecoxib | 2 (1.32%) | |||
| Aspirin | 2 (1.32%) | |||
| Metamizole | 2 (1.32%) | |||
| Loxoprofen | 2 (1.32%) | |||
| Paracetamol or Panadol | 31 (20.53%) | |||
| Migraine-specific acute medication | Triptans | 5 (3.31%) | ||
| Ergotamine | 1 (0.66%) | |||
| Complex (non-migraine specific) | Caffeine complex | Paracetamol, Caffeine and Aspirin Powder | 21 (13.91%) | |
| EVE series | 10 (6.62%) | |||
| Compound Aminopyrine Phenacetin Tablets | 2 (1.32%) | |||
| Other complex | Others | 6 (3.97%) | ||
| Behaviours of taking acute medications | ||||
| Acute medication adherence | Follow the instructions strictly | 118 (78.15%) | ||
| Read the instructions but not followed | 13 (8.61%) | |||
| Neither read nor followed the instructions | 19 (12.58%) | |||
| Unclear | 2 (1.32%) | |||
| Receiving professional advice on the acute medications from clinicians or pharmacists | Yes | 49 (32.45%) | ||
| No | 103 (68.21%) | |||
Category of acute medications at baseline and the corresponding behaviours.
Note: EVE, series: pain reliever ‘EVE’ was as the first over-the-counter ibuprofen product launched in Japan in 1985. NSAIDs: nonsteroidal anti-inflammatory drugs.
In addition, 78.15% of the 151 participants strictly followed the drug dosage as instructed. However, 13 (8.61%) of them did not adhere to the instructed drug dosage despite having read the instructions, and 19 (12.58%) of them did not read the instructions at all. Moreover, less than one third (32.45%) of these participants received professional advice regarding their usage of acute medication (Table 3).
3.6 Effectiveness evaluation
3.6.1 Effects on monthly migraine days and pain intensity
According to the controlled GLMMs results, both changes of monthly migraine days and changes of peak pain NRS at follow-up timepoints from baseline were not significantly different between subgroup A and B (Table 4).
TABLE 4
| Outcome | Timepoint | Subgroup A (CHM ≥28 days) | Subgroup B (CHM <28 days) | Between-subgroup difference of change | p | ||||
|---|---|---|---|---|---|---|---|---|---|
| Marginal mean | Changes from baseline | Marginal mean | Change from baseline | ||||||
| Change (95% CI) | p | Change (95% CI) | p | ||||||
| Monthly migraine days | Week 0 | 4.56 | - | - | 3.99 | - | - | - | - |
| Week 4 | 4.27 | −0.28 (−1.17, 0.60) | 0.526 | 3.82 | −0.17 (−0.69, 0.34) | 0.504 | −0.02 (−0.26, 0.22) | 0.869 | |
| Week 8 | 3.75 | −0.81 (−1.71, 0.10) | 0.082 | 4.03 | 0.04 (−0.54, 0.62) | 0.886 | −0.21 (−0.47, 0.06) | 0.124 | |
| Week 12 | 3.38 | −1.18 (−2.08, −0.28) | 0.010* | 3.64 | −0.35 (−0.92, 0.22) | 0.230 | −0.21 (−0.48, 0.06) | 0.130 | |
| Peak pain NRS | Week 0 | 6.64 | - | - | 6.78 | - | - | - | - |
| Week 4 | 6.09 | −0.55 (−1.22, 0.12) | 0.105 | 5.61 | −1.17 (−1.60, −0.73) | <0.001* | 0.10 (−0.02, 0.23) | 0.110 | |
| Week 8 | 5.42 | −1.22 (−1.90, −0.53) | 0.001* | 5.62 | −1.16 (−1.63, −0.69) | <0.001* | −0.02 (−0.15, 0.12) | 0.825 | |
| Week 12 | 4.75 | −1.89 (−2.57, −1.22) | <0.001* | 5.28 | −1.50 (−1.97, −1.02) | <0.001* | −0.09 (−0.23, 0.05) | 0.227 | |
| GAD-7 | Week 0 | 5.80 | - | - | 6.08 | - | - | - | - |
| Week 4 | 5.86 | 0.06 (−0.96, 1.08) | 0.906 | 5.89 | −0.20 (−0.86, 0.47) | 0.561 | 0.04 (−0.16, 0.25) | 0.679 | |
| Week 8 | 4.88 | −0.92 (−1.94, 0.10) | 0.076 | 6.15 | 0.06 (−0.68, 0.80) | 0.865 | −0.18 (−0.41, 0.04) | 0.110 | |
| Week 12 | 5.50 | −0.30 (−1.39, 0.78) | 0.582 | 6.28 | 0.20 (−0.58, 0.98) | 0.618 | −0.09 (−0.32, 0.14) | 0.463 | |
| PHQ-9 | Week 0 | 5.27 | - | - | 5.67 | - | - | - | - |
| Week 4 | 5.35 | 0.08 (−0.91, 1.07) | 0.871 | 5.50 | −0.17 (−0.85, 0.50) | 0.616 | 0.05 (−0.17, 0.27) | 0.678 | |
| Week 8 | 4.56 | −0.71 (−1.65, 0.23) | 0.141 | 5.33 | −0.34 (−1.03, 0.34) | 0.329 | −0.08 (−0.31, 0.14) | 0.479 | |
| Week 12 | 4.99 | −0.28 (−1.29, 0.73) | 0.587 | 5.29 | −0.38 (−1.09, 0.32) | 0.285 | 0.02 (−0.22, 0.25) | 0.898 | |
| ISI | Week 0 | 6.47 | - | - | 6.33 | - | - | - | - |
| Week 4 | 7.22 | 0.75 (−0.49, 2.00) | 0.234 | 6.62 | 0.30 (−0.44, 1.04) | 0.431 | 0.06 (−0.15, 0.28) | 0.548 | |
| Week 8 | 7.39 | 0.93 (−0.38, 2.24) | 0.165 | 7.25 | 0.93 (0.09, 1.76) | 0.030* | 0 (−0.23, 0.22) | 0.982 | |
| Week 12 | 6.38 | −0.08 (−1.34, 1.18) | 0.900 | 6.48 | 0.16 (−0.66, 0.97) | 0.708 | −0.04 (−0.27, 0.20) | 0.757 | |
| MSQ-RFR | Week 0 | 56.51 | - | - | 54.98 | - | - | - | - |
| Week 4 | 63.42 | 6.92 (2.46, 11.37) | 0.002 | 65.83 | 10.84 (7.94, 13.75) | <0.001 | −0.06 (−0.15, 0.02) | 0.144 | |
| Week 8 | 66.41 | 9.90 (4.96, 14.84) | <0.001 | 68.01 | 13.02 (9.82, 16.23) | <0.001 | −0.05 (−0.15, 0.04) | 0.287 | |
| Week 12 | 69.19 | 12.68 (7.53, 17.84) | <0.001 | 71.24 | 16.26 (12.90, 19.62) | <0.001 | −0.06 (−0.15, 0.04) | 0.248 | |
| MSQ-RFP | Week 0 | 64.75 | - | - | 62.40 | - | - | - | - |
| Week 4 | 55.56 | −9.19 (−15.30, −3.08) | 0.003 | 52.13 | −10.28 (−14.06, −6.49) | <0.001 | 0.03 (−0.09, 0.15) | 0.660 | |
| Week 8 | 69.89 | 5.14 (−1.62, 11.90) | 0.136 | 73.99 | 11.58 (7.13, 16.03) | <0.001 | −0.09 (−0.21, 0.02) | 0.121 | |
| Week 12 | 72.88 | 8.13 (1.20, 15.06) | 0.022 | 75.53 | 13.13 (8.63, 17.63) | <0.001 | −0.07 (−0.19, 0.05) | 0.230 | |
| MSQ-EF | Week 0 | 70.97 | - | - | 69.42 | - | - | - | - |
| Week 4 | 75.90 | 4.93 (−0.19, 10.04) | 0.059 | 77.91 | 8.49 (5.19, 11.80) | <0.001 | −0.05 (−0.13, 0.03) | 0.246 | |
| Week 8 | 77.63 | 6.66 (1.24, 12.08) | 0.016 | 77.69 | 8.27 (4.81, 11.73) | <0.001 | −0.02 (−0.11, 0.06) | 0.602 | |
| Week 12 | 78.64 | 7.67 (2.14, 13.20) | 0.007 | 80.59 | 11.18 (7.60, 14.75) | <0.001 | −0.05 (−0.13, 0.04) | 0.295 | |
Changes from baseline and the between-subgroup comparisons.
Note: Statistical analysis method: generalised linear mixed model; The model was adjusted for the targeted outcome at baseline, age, disease duration, chronic migraine (except for monthly migraine days), time-varying western medications for migraine prevention and time-varying acute medications. * difference is significant at the 0.05 level. CHM: Chinese herbal medicine. 95% CI: 95% confidence interval, EF: emotional function, GAD-7: generalised anxiety disorder-7, scale, ISI: insomnia severity index, MSQ: migraine-specific quality of life questionnaire, NRS: numeric rating scale, PHQ-9: patient health questionnaire-9, RFP: role function-preventive, RFR: role function-restrictive.
Monthly migraine days in the entire cohort declined from week 0 to week 12 (p = 0.05), as well as from week 4 to week 12 (p = 0.038). These reductions could be primarily attributed to subgroup A, as similar reductions were observed in subgroup A. In contrast, patients within subgroup B did not achieve any reduction in monthly migraine days throughout the 12-week observation period (Table 5).
TABLE 5
| Subgroups | Pairwise of timepoints | Monthly migraine days | Peak pain NRS | ||
|---|---|---|---|---|---|
| Change between timepoints (95% CI) | p | Change between timepoints (95% CI) | p | ||
| Whole cohort | Week 12 - Week 8 | −0.38 (−0.84, 0.07) | 0.098 | −0.51 (−0.85, −0.17) | 0.003 |
| Week 12 - Week 4 | −0.53 (−1.03, −0.03) | 0.038 | −0.84 (−1.21, −0.46) | <0.001 | |
| Week 12 - Week 0 | −0.76 (−1.29, −0.23) | 0.005 | −1.70 (−2.13, −1.28) | <0.001 | |
| Week 8 - Week 4 | −0.15 (−0.63, 0.33) | 0.545 | −0.32 (−0.69, 0.04) | 0.082 | |
| Week 8 - Week 0 | −0.38 (−0.91, 0.16) | 0.169 | −1.19 (−1.61, −0.77) | <0.001 | |
| Week 4 - Week 0 | −0.23 (−0.73, 0.27) | 0.374 | −0.86 (−1.26, −0.46) | <0.001 | |
| Subgroup A: CHM ≥28 days | Week 12 - Week 8 | −0.37 (−1.09, 0.34) | 0.306 | −0.68 (−1.22, −0.14) | 0.014 |
| Week 12 - Week 4 | −0.89 (−1.73, −0.06) | 0.037 | −1.34 (−1.96, −0.72) | <0.001 | |
| Week 12 - Week 0 | −1.18 (−2.08, −0.28) | 0.010 | −1.89 (−2.57, −1.22) | <0.001 | |
| Week 8 - Week 4 | −0.52 (−1.33, 0.29) | 0.205 | −0.66 (−1.27, −0.05) | 0.033 | |
| Week 8 - Week 0 | −0.81 (−1.71, 0.10) | 0.082 | −1.22 (−1.90, −0.53) | 0.001 | |
| Week 4 - Week 0 | −0.28 (−1.17, 0.60) | 0.526 | −0.55 (−1.22, 0.12) | 0.105 | |
| Subgroup B: CHM <28 days | Week 12 - Week 8 | −0.39 (−0.93, 0.15) | 0.153 | −0.34 (−0.73, 0.06) | 0.094 |
| Week 12 - Week 4 | −0.18 (−0.73, 0.38) | 0.536 | −0.33 (−0.75, 0.09) | 0.124 | |
| Week 12 - Week 0 | −0.35 (−0.92, 0.22) | 0.230 | −1.50 (−1.97, −1.02) | <0.001 | |
| Week 8 - Week 4 | 0.22 (−0.32, 0.76) | 0.432 | 0.01 (−0.39, 0.41) | 0.964 | |
| Week 8 - Week 0 | 0.04 (−0.54, 0.62) | 0.886 | −1.16 (−1.63, −0.69) | <0.001 | |
| Week 4 - Week 0 | −0.17 (−0.69, 0.34) | 0.504 | −1.17 (−1.60, −0.73) | <0.001 | |
| Subgrouping | Pairwise of timepoints | GAD-7 | PHQ-9 | ISI | |||
|---|---|---|---|---|---|---|---|
| Change between timepoints (95% CI) | p | Change between timepoints (95% CI) | p | Change between timepoints (95% CI) | p | ||
| Whole cohort | Week 12 - Week 8 | 0.40 (−0.21, 1.01) | 0.196 | 0.20 (−0.37, 0.78) | 0.483 | −0.89 (−1.62, −0.15) | 0.018* |
| Week 12 - Week 4 | 0.00 (−0.68, 0.68) | 0.996 | −0.29 (−0.90, 0.32) | 0.357 | −0.48 (−1.25, 0.28) | 0.217 | |
| Week 12 - Week 0 | −0.06 (−0.75, 0.62) | 0.854 | −0.33 (−0.95, 0.29) | 0.300 | 0.04 (−0.71, 0.79) | 0.921 | |
| Week 8 - Week 4 | −0.40 (−1.00, 0.20) | 0.191 | −0.49 (−1.07, 0.09) | 0.095 | 0.41 (−0.35, 1.16) | 0.290 | |
| Week 8 - Week 0 | −0.47 (−1.11, 0.18) | 0.159 | −0.53 (−1.13, 0.06) | 0.079 | 0.93 (0.14, 1.71) | 0.020* | |
| Week 4 - Week 0 | −0.07 (−0.68, 0.55) | 0.835 | −0.04 (−0.65, 0.57) | 0.891 | 0.52 (−0.20, 1.24) | 0.158 | |
| Subgroup A: CHM ≥28 days | Week 12 - Week 8 | 0.62 (−0.31, 1.55) | 0.192 | 0.43 (−0.49, 1.34) | 0.360 | −1.01 (−2.23, 0.22) | 0.107 |
| Week 12 - Week 4 | −0.37 (−1.46, 0.73) | 0.510 | −0.36 (−1.36, 0.64) | 0.477 | −0.83 (−2.15, 0.48) | 0.212 | |
| Week 12 - Week 0 | −0.30 (−1.39, 0.78) | 0.582 | −0.28 (−1.29, 0.73) | 0.587 | −0.08 (−1.34, 1.18) | 0.900 | |
| Week 8 - Week 4 | −0.99 (−1.95, −0.02) | 0.045* | −0.79 (−1.71, 0.14) | 0.095 | 0.17 (−1.13, 1.47) | 0.795 | |
| Week 8 - Week 0 | −0.92 (−1.94, 0.10) | 0.076 | −0.71 (−1.65, 0.23) | 0.141 | 0.93 (−0.38, 2.24) | 0.165 | |
| Week 4 - Week 0 | 0.06 (−0.96, 1.08) | 0.906 | 0.08 (−0.91, 1.07) | 0.871 | 0.75 (−0.49, 2.00) | 0.234 | |
| Subgroup B: CHM <28 days | Week 12 - Week 8 | 0.14 (−0.59, 0.86) | 0.714 | −0.04 (−0.70, 0.61) | 0.899 | −0.77 (−1.57, 0.03) | 0.060 |
| Week 12 - Week 4 | 0.40 (−0.38, 1.17) | 0.315 | −0.21 (−0.89, 0.47) | 0.547 | −0.14 (−0.95, 0.67) | 0.732 | |
| Week 12 - Week 0 | 0.20 (−0.58, 0.98) | 0.618 | −0.38 (−1.09, 0.32) | 0.285 | 0.16 (−0.66, 0.97) | 0.708 | |
| Week 8 - Week 4 | 0.26 (−0.41, 0.93) | 0.449 | −0.17 (−0.82, 0.49) | 0.618 | 0.63 (−0.17, 1.43) | 0.122 | |
| Week 8 - Week 0 | 0.06 (−0.68, 0.80) | 0.865 | −0.34 (−1.03, 0.34) | 0.329 | 0.93 (0.09, 1.76) | 0.030* | |
| Week 4 - Week 0 | −0.20 (−0.86, 0.47) | 0.561 | −0.17 (−0.85, 0.50) | 0.616 | 0.30 (−0.44, 1.04) | 0.431 | |
| Subgrouping | Pairwise of timepoints | MSQ-RFR | MSQ-RFP | MSQ-EF | |||
|---|---|---|---|---|---|---|---|
| Change between timepoints (95% CI) | p | Change between timepoints (95% CI) | p | Change between timepoints (95% CI) | p | ||
| Whole cohort | Week 12 - Week 8 | 3.01 (0.04, 5.97) | 0.047* | 2.29 (−2.07, 6.64) | 0.304 | 1.95 (−1.24, 5.15) | 0.231 |
| Week 12 - Week 4 | 5.60 (2.42, 8.77) | 0.001* | 20.38 (16.43, 24.33) | <0.001* | 2.71 (−0.64, 6.07) | 0.113 | |
| Week 12 - Week 0 | 14.47 (11.35, 17.59) | <0.001* | 10.63 (6.46, 14.80) | <0.001* | 9.42 (6.10, 12.74) | <0.001* | |
| Week 8 - Week 4 | 2.59 (−0.25, 5.43) | 0.074 | 18.09 (14.22, 21.97) | <0.001* | 0.76 (−2.38, 3.90) | 0.635 | |
| Week 8 - Week 0 | 11.46 (8.48, 14.44) | <0.001* | 8.34 (4.25, 12.43) | <0.001* | 7.47 (4.24, 10.70) | <0.001* | |
| Week 4 - Week 0 | 8.87 (6.16, 11.59) | <0.001* | −9.75 (−13.34, −6.16) | <0.001* | 6.71 (3.62, 9.79) | <0.001* | |
| Subgroup A: CHM ≥28 days | Week 12 - Week 8 | 2.79 (−2.12, 7.69) | 0.265 | 2.99 (−4.16, 10.14) | 0.412 | 1.01 (−4.32, 6.34) | 0.709 |
| Week 12 - Week 4 | 5.77 (0.54, 11.00) | 0.031* | 17.32 (10.82, 23.82) | <0.001* | 2.74 (−2.82, 8.31) | 0.333 | |
| Week 12 - Week 0 | 12.68 (7.53, 17.84) | <0.001* | 8.13 (1.20, 15.06) | 0.022* | 7.67 (2.14, 13.20) | 0.007* | |
| Week 8 - Week 4 | 2.98 (−1.72, 7.68) | 0.213 | 14.33 (7.97, 20.69) | <0.001* | 1.73 (−3.51, 6.98) | 0.517 | |
| Week 8 - Week 0 | 9.90 (4.96, 14.84) | <0.001* | 5.14 (−1.62, 11.90) | 0.136 | 6.66 (1.24, 12.08) | 0.016* | |
| Week 4 - Week 0 | 6.92 (2.46, 11.37) | 0.002* | −9.19 (−15.30, −3.08) | 0.003* | 4.93 (−0.19, 10.04) | 0.059 | |
| Subgroup B: CHM <28 days | Week 12 - Week 8 | 3.23 (−0.03, 6.50) | 0.052 | 1.55 (−3.30, 6.40) | 0.531 | 2.90 (−0.60, 6.41) | 0.104 |
| Week 12 - Week 4 | 5.41 (1.92, 8.91) | 0.002* | 23.41 (19.11, 27.70) | <0.001* | 2.68 (−1.01, 6.37) | 0.154 | |
| Week 12 - Week 0 | 16.26 (12.90, 19.62) | <0.001* | 13.13 (8.63, 17.63) | <0.001* | 11.18 (7.60, 14.75) | <0.001* | |
| Week 8 - Week 4 | 2.18 (−0.95, 5.31) | 0.172 | 21.86 (17.61, 26.11) | <0.001* | −0.22 (−3.66, 3.21) | 0.899 | |
| Week 8 - Week 0 | 13.02 (9.82, 16.23) | <0.001* | 11.58 (7.13, 16.03) | <0.001* | 8.27 (4.81, 11.73) | <0.001* | |
| Week 4 - Week 0 | 10.84 (7.94, 13.75) | <0.001* | −10.28 (−14.06, −6.49) | <0.001* | 8.49 (5.19, 11.80) | <0.001* | |
Pairwise comparisons between timepoints.
Note: Statistical analysis method: generalised linear mixed model; The model was adjusted for the targeted outcome at baseline, age, disease duration, chronic migraine (except for monthly migraine days), time-varying western medications for migraine prevention and time-varying acute medications. * difference is significant at the 0.05 level. CHM: Chinese herbal medicine. 95% CI: 95% confidence interval, EF: emotional function, GAD-7: generalised anxiety disorder-7, scale, ISI: insomnia severity index, MSQ: migraine-specific quality of life questionnaire, NRS: numeric rating scale, PHQ-9: patient health questionnaire-9, RFP: role function-preventive, RFR: role function-restrictive.
In terms of the peak pain NRS, there was a consistent and prolonged downward trend observed within the entire cohort and either subgroup. Notably, the reduction in peak pain NRS scores within subgroup A was sustained not only from week 0 to the subsequent follow-up timepoints, but also from week 4 to week 8 and week 12, as well as persisting from week 8 to week 12. In contrast, the deduction of peak pain NRS scores in subgroup B was not consistently maintained from week 4 to week 8 or week 12, nor from week 8 to week 12 (Table 5).
3.6.2 Effects on migraine comorbidities
As Table 4 indicated, changes of GAD-7, PHQ-9 and ISI scores at follow-up timepoints from week 0 were not significantly different between subgroups.
In terms of PHQ-9, no significant variations were observed across the entire cohort or within either of the subgroups.
Regarding GAD-7, the scores remained consistent throughout the observation period for the entire cohort and subgroup B. However, within subgroup A, a significant reduction in GAD-7 scores emerged from week 4 to week 8 (p = 0.045).
As for ISI, the score within the entire cohort exhibited a significant increase from week 0 to week 8 (p = 0.020), followed by a reduction from week 8 to week 12 (p = 0.018). The substantial deterioration in ISI scores from week 0 to week 8 was primarily attributed to subgroup B (p = 0.03), whereas the ISI score in subgroup A did not significantly increased (Table 5).
3.6.3 Effects on migraine-specific quality of life
Both subgroups gained a steady increase in MSQ-RFR from week 0 to each follow-up timepoint, and they also achieved a significant increase in MSQ-RFP and MSQ-EF from week 0 to week 12. However, only subgroup B exhibited an increase in MSQ-RFP from week 0 to week 8, and an increase in MSQ-EF from week 0 to week 4, whereas these changes were not observed in subgroup A (Table 5). Nevertheless, the changes of MSQ-RFR, MSQ-RFP and MSQ-EF scores at follow-up timepoints from baseline were not significantly different between subgroups (Table 4).
3.7 Adverse events
Patient-reported adverse events (AEs) were collected from CRFs. Throughout the observation period, 30 participants reported a total of 51 AEs, involving 17 symptoms. The most common AE reported was discomfort in the stomach (n = 18), followed by diarrheal (n = 8), fatigue (n = 4) and dizziness (n = 4). No severe AEs were reported. Furthermore, the number of participants reporting AEs and the number of AE cases appeared comparable between the two subgroups based on CHM treatment duration (≥28 days vs. < 28 days) (Table 6). No statistical difference was detected between subgroup A (CHM treatment duration ≥28 days) and subgroup B (CHM treatment duration <28 days) regarding the number of patients reporting AEs (χ2 = 3.174, p = 0.075).
TABLE 6
| Adverse event | Week 0 | Week 4 | Week 8 | Week 12 | Total number of cases |
|---|---|---|---|---|---|
| Discomfort in the stomach | 13 (7 vs. 6) | 1 (0 vs. 1) | 2 (2 vs. 0) | 2 (1 vs. 1) | 18 (10 vs. 8) |
| Diarrheal | 0 | 6 (4 vs. 2) | 2 (1 vs. 1) | 0 | 8 (5 vs. 3) |
| Fatigue | 1 (1 vs. 0) | 1 (0 vs. 1) | 1 (0 vs. 1) | 1 (0 vs. 1) | 4 (1 vs. 3) |
| Elevated blood pressure | 0 | 1 (1 vs. 0) | 0 | 0 | 1 (1 vs. 0) |
| Headache | 0 | 1 (1 vs. 0) | 0 | 0 | 1 (1 vs. 0) |
| Dizziness | 2 (0 vs. 2) | 2 (1 vs. 1) | 0 | 0 | 4 (1 vs. 3) |
| Poor appetite | 1 (1 vs. 0) | 1 (0 vs. 1) | 0 | 0 | 2 (1 vs. 1) |
| Skin rash | 0 | 1 (0 vs. 1) | 0 | 0 | 1 (0 vs. 1) |
| Abnormal liver function | 0 | 1 (0 vs. 1) | 0 | 0 | 1 (0 vs. 1) |
| Oral ulcer | 0 | 1 (0 vs. 1) | 0 | 0 | 1 (0 vs. 1) |
| Pollakisurie | 2 (1 vs. 1) | 1 (1 vs. 0) | 0 | 0 | 3 (2 vs. 1) |
| Abdominal pain | 0 | 1 (1 vs. 0) | 0 | 0 | 1 (1 vs. 0) |
| Gingival bleeding | 0 | 1 (1 vs. 0) | 0 | 0 | 1 (1 vs. 0) |
| Hypomenorrhea | 0 | 1 (1 vs. 0) | 0 | 0 | 1 (1 vs. 0) |
| Abdominal distention | 0 | 1 (0 vs. 1) | 0 | 0 | 1 (0 vs. 1) |
| Palpitation | 2 (1 vs. 1) | 0 | 0 | 0 | 2 (1 vs. 1) |
| Insomnia | 1 (1 vs. 0) | 0 | 0 | 0 | 1 (1 vs. 0) |
| Total cases of AEs | 22 (12 vs. 10) | 21 (11 vs. 10) | 5 (3 vs. 2) | 3 (1 vs. 2) | 51 (25 vs. 26) |
| Total number of participants reporting AEs* | 20 (11 vs. 9) | 16 (7 vs. 9) | 5 (3 vs. 2) | 3 (0 vs. 3) | 30 (13 vs. 17) |
Adverse events reported by participants.
Note: AE: adverse event; vs.: number of AE, cases in subgroup A vs. number of AE, cases in subgroup B; * number of participants reporting AEs.
3.8 Herbs and patented Chinese herbal medicine products for migraine
The medical records of the responders (≥50% reduction in monthly migraine days at week 12) were retrieved for treatment pattern analysis.
3.8.1 Frequency analysis of herbs and their mechanisms
A total of 341 herbal prescriptions involving 147 herbs were eligible for analyses. The most commonly used herb was gan cao, which was prescribed 315 times, followed by gui zhi (n = 265) and chuan xiong (n = 246). The remaining herbs with top ten frequency included fu ling (n = 241), bai zhu (n = 231), yan hu suo (n = 222), ban xia (n = 220), chen pi (n = 218), bai shao (n = 210), and xiang fu (n = 204).
3.8.2 Frequency analysis of patented Chinese herbal medicine products
Patented Chinese herbal medicine products (PCHMPs) used for migraines were presented in Table 7. Interestingly, the most commonly used PCHMPs were Wei su granule (n = 75) and Jian wei yu yang tablet (n = 73), which mainly targeted at gastrointestinal conditions. Headache-specific PCHMPs like Tian shu tablet and Tong tian oral solution were prescribed by less than 10% of the cases.
TABLE 7
| Names | Frequency | Functions | Targeted diseases |
|---|---|---|---|
| Wei su granule | 75 | Regulating qi, reducing distention in Stomach and alleviating stomach-ache | Chronic gastritis and gastroduodenal ulcer |
| Jian wei yu yang tablet | 73 | Tonifying the Spleen, smoothing the Liver and alleviating pain | Stomach-ache, gastroduodenal ulcer |
| San qi tong shu capsule | 28 | Activating circulation of Blood and smoothing the meridians | Cardio-cerebral vascular atherosclerosis |
| Jing tong granule | 28 | Activating circulation of qi and Blood, removing the Blood stasis and alleviating pain | Cervical spondylotic radiculopathy |
| Zao ren an shen capsule | 26 | Nourishing Blood and calming the spirit | Insomnia, memory loss, dizziness |
| Tian shu tablet | 23 | Activating circulation of Blood, calming the Liver, smoothing the meridians and alleviating the pain | Headache |
| Tong tian oral solution | 18 | Removing Blood stasis, activating circulation of Blood, expelling the Wind and alleviating the pain | Migraine |
| Xiao yao pill | 16 | Tonifying the Speen, nourishing the Blood and smoothing the Liver | Emotional condition with poor appetite and irregular menstruation |
| Er shi wu wei shan hu capsule | 15 | Clearing the orifices, smoothing the meridian, and alleviating pain | Neurologic conditions including numbness, dizziness, headache, epilepsy, etc. |
| Yang xue qing nao granule | 10 | Nourishing Blood and calming Liver yang, activating the circulation of Blood | Headache, dizziness, insomnia with Chinese medicine syndrome of Liver yang uprising and Blood deficiency |
Frequency and functions of commonly used PCHMPs.
Note: *Percentage among patients who were prescribed with PCHMP/WM, for their migraine (n = 271). Functions and targeted conditions of the PCHMPs, reference to Chinese Pharmacopoeia 2020.
4 Discussion
4.1 Summary and interpretation of the key results
4.1.1 Patients’ characteristics
The mean age of the migraine participants in this study is 35.40 (±9.34) years, falling within the age range with the highest prevalence of migraines (Safiri et al., 2022). Chronic migraine constitutes over 10% of the included participants, a percentage similar to that of chronic migraine among the migraine population in United State (13.65%) ().
The female-to-male ratio in this observational study (7.5: 1) surpasses the general migraine population ratio (3–4:1) (Vetvik and MacGregor, 2017; ), rendering the findings of this study particularly relevant to female migraine patients. This higher percentage of female participants may be attributed to the fact that female participants tend to experience more severe and disabling migraine attacks (Neumeier et al., 2021). In addition, the female-predominance aligns with findings from a previous report, which concluded that female migraine patients were more likely to be Chinese medicine users ().
Aura was reported in over 32% of the migraine participants in this study, which is higher than the occurrence among the general migraine populations (25%) (Rasmussen and Olesen, 1992). Migraine with aura was reported to be associated with reluctant response to conventional pharmacotherapies (; ), which might explain the higher proportion of migraine with aura in the Chinese medicine hospital.
Anxiety, depression and insomnia are the most common comorbidities among the migraine participants, consistent with previous reports (; Lyu et al., 2022b). Notably, depression was comorbid in 61.29% of the migraine participants in this study, the percentage is higher than that among the general migraine population (16%–18%) (Yong et al., 2012; ). An increased likelihood of comorbid depression was reported among migraine patients visiting a headache clinic (). Additionally, it was noted that this comorbid depression was inadequately treated ().
4.1.2 Patients’ preferences and values
Patients’ preferences and values encompass the distinct understandings, individual preferences, concerns, expectations and life circumstances (Straus et al., 2018). Values refer to a patient’s attitudes and perceptions regarding various healthcare alternatives, while preferences represent their favoured choices after accounting for their values (). Established methods to investigate patients’ preferences and values include interviews, focus groups, observation, surveys, narrative description, etc. (Michael et al., 2022). This study employed a combination of behavioural observations, treatment utilisation patterns analysis, and targeted surveys focusing on narrative preferences and values. These approaches collectively facilitated a comprehensive exploration of the diverse spectrum of migraine patients’ preferences and values.
4.1.2.1 Utilisation patterns of acute medications
More than 60% of the migraine participants in the study reported using acute medications for their migraines prior to their initial treatments in the studied Chinese hospital. However, over 60% of them utilised non-specific migraine acute medications like nonsteroidal anti-inflammatory drugs (NSAIDs), while migraine-specific acute medications like triptans was used by less than 5% of the patients. The discrete percentages of patients taking migraine-specific and non-specific acute medications closely resembled findings from a prior report (Zhao et al., 2023). The potential reasons contributing to the high prevalence of NSAIDs mainly involve their low prices and high patient accessibility as over-the-counter medications (Zhao et al., 2023). In contrast, the low patient accessibility and limited choices of drugs restricted the limited spread of triptans among migraine patients (Zhao et al., 2023). Low application of triptans and low adherence to the therapeutic guideline was also reported in Denmark and the United States (Marmura et al., 2015; ; Olesen et al., 2022).
Additionally, up to 68% of the participants did not receive professional advice on their acute medications for migraine, and over one third of them reported poor adherence to the medication instructions. Inadequate consultation rate was reported in the United States, with 27.6% of episodic migraine and 40.8% of chronic migraine responders (). It is appealed to increase consultation and diagnosis rates, as well as promoted patient education, to improve the delivery of appropriate guideline-based treatment, and avoidance of medication overuse (; ).
4.1.2.2 Factors for the choice of Chinese herbal medicine
Earlier research has indicated that patients possessing multiple comorbidities, complex symptoms, residing in rural areas, being females, and being in the middle to old age group, were more likely to receive CHM treatment (; ; Xin et al., 2020). The present study has shed light on the fact that participants undergoing a longer duration CHM therapy in the studied hospital were experiencing more severe migraines, and they tended to be older in age with a longer disease duration of migraine.
4.1.2.3 Treatment duration and times of hospital visits
Within the 12-week observation period, the mean CHM treatment duration was found to be 20.72 days, and the mean frequency of hospital visits was only 2.98 times. In contrast, the mean primary care physical visits for migraine within 3 months was reported to be 2.57 for chronic migraine and 2.54 for episodic migraine in Europe, and the corresponding neurologist specialist visits was 1.53 and 1.73, respectively (). In this study, the limited treatment duration and times of hospital visits might have been interrupted by the quarantine of COVID-19 (; ). Low adherence and persistence for prophylactic migraine medication were reported to be associated with low response rate and unwanted side effects (; ; Rimmele et al., 2023). CHM has been identified as an effective therapy for migraine with an adequate treatment duration, and the side effects were mild. The positive treatment effects of CHM at a sufficient treatment duration may be advertised to the migraine patients to increase the adherence and persistence.
4.1.2.4 Patients’ narrative preferences and values
The survey for patients’ preferences and values in this study was refined based on commonly reported items in previous studies and new insights from our previous research (Wenzel et al., 2004; ; Rozen, 2006; Peres et al., 2007; Mansfield et al., 2019; Lyu et al., 2022b). Consistent with previous reports, increased efficacy was the most reported expectation, while side effects were the top concern, among the migraine participants (; Rozen, 2006; Peres et al., 2007; Mansfield et al., 2019). Improved quality of life after treatments was also expected by migraine patients (). No statistical difference was observed between subgroups regarding any item of preferences and values. It is novel to reveal that a substantial percentage of migraine participants expected the extended effects on migraine comorbidities of anxiety, depression, and insomnia in our report, while migraine comorbidities issues were seldom addressed by previous studies. In addition, as the increased concern about medication overuse, our study incorporated a novel option regarding reducing acute medication usage. The result indicated that limited number of participants expressed expectation to reduce their acute medications, as the number of days taking acute medication at baseline was merely 2.22/4 weeks. Near half of the migraine participants showed attention to treatment duration, meanwhile around 75% of the participants discontinued their treatments within 28 days. The relationship between treatment effect and treatment duration needs further investigation.
4.1.3 Effectiveness of Chinese herbal medicine for migraine
As indicated by the outcomes derived from the GLMM analyses above, CHM appeared beneficial in reducing monthly migraine days and peak pain NRS. Particularly, the beneficial effects required a minimum of 28 days CHM treatment. Furthermore, when administered for 28 days or more, CHM might lead to a more sustained effects in reducing peak pain NRS, compared to that when administered for less than 28 days. In summary, a longer CHM treatment duration is associated with a better treatment response, this is consistent with the conclusions from our previous systematic review (Lyu et al., 2022a).
In addition, a minimum duration of CHM treatment for 28 days appears to be beneficial for reducing migraine-comorbid anxiety, and preventing the worsening of insomnia, but it has limited effect on depression. However, it is important to note that depression and insomnia might have been affected by the stress caused by the unanticipated COVID-19 pandemic (Suzuki et al., 2021; ; Thaxter and Smitherman, 2022), which was not systematically assessed in this study. Clinical evidence has found that several CHM formulae were effective in controlling anxiety, depression and insomnia, either as independent conditions or as comorbidities of other conditions such as heart failure, chronic obstructive pulmonary disease, etc. (; Yang et al., 2021; Wang et al., 2022). The extended effects of CHM on the psychological comorbidities of migraine need further examination.
Moreover, CHM may effectively improve specific quality of life for the migraine patients, regardless of the treatment duration. The beneficial effects of CHM in improving patients’ quality of life were also reported in our previous systematic reviews for migraines (Lyu et al., 2020; Lyu et al., 2022a), and for other conditions, such as atopic dermatitis, cancer, perimenopausal women, etc. (; ; Xia et al., 2012).
These effectiveness evaluations in return addressed the leading expectations of the participants in this study, which were also in consistent with previous reports on patients’ preferences and values (; Rozen, 2006; Peres et al., 2007; Mansfield et al., 2019).
Acute medication overuse is a major but modifiable risk factor for chronic migraine (). Approximately 60% of the migraine participants took acute medications for their migraines at baseline. Notably, the proportion of participants taking acute medication reduced significantly at week 4 but increased at around 58% towards the end of the observation period. Previously, CHM-induced reduction in acute medications for chronic tension-type headaches was reported in another observational study (Tong et al., 2015). The reduction in acute medication usage and the potential of CHM for preventing and reversing medication overuse headache warranted more robust investigation.
4.1.4 Safety profile
Throughout the 12-week observation period, a total of 51 AEs were documented by 30 (12.10%) of the participants. The incidence rate of AEs was comparatively lower than those reported for erenumab (37%) and onabotulinumtoxinA (25%) based on real-world observations (Matharu et al., 2017; Schenk et al., 2022). In addition, among the instances, 18 (35.29%) of the patient-reported AEs were gastrointestinal discomforts, and these discomforts were also the most commonly reported AEs in previous reports (Schenk et al., 2022; Silberstein et al., 2023). Moreover, no severe AEs were reported in the current study. The safety profile of CHM for migraine, including the low rate of AEs and the prevailing occurrence of gastrointestinal discomforts, was consistent with our previous findings (Lyu et al., 2020; Lyu et al., 2022a).
4.1.5 Chinese herbal medicine utilisation patterns for migraine
The frequency analysis indicated that herbs gan cao, gui zhi, chuan xiong, fu ling, bai zhu, yan hu suo, ban xia, chen pi, bai shao and xiang fu, were widely utilised for migraine, which is similar to the findings of our previous research (Lyu et al., 2020; Lyu et al., 2022a; Lyu et al., 2022b; Zhang et al., 2022). These herbs were reported to exhibit anti-migraine, anti-depression, neuroprotective, sedative-hypnotic and/or antiemetic actions, as summarised in Table 8. These effects not only address the migraine headaches, but also benefit migraine-associated comorbidities including depression and insomnia, as well as accompany symptoms such as nausea and vomiting. Specifically, the anti-migraine actions are frequently linked to the modulation of monoamine neurotransmitters (e.g., 5-HT, CGRP) and their turnover rates, as investigated in the case of chuan xiong (Wang et al., 2011; Pu et al., 2019).
TABLE 8
| Name in pin yin | Scientific name* | Preparation | Chemical constituents | Subject | Administration | Bioactivity | Mechanism of action |
|---|---|---|---|---|---|---|---|
| Gan cao | 1. Glycyrrhiza uralensis Fisch. | Compound | Glycyrrhizin | Lithium-pilocarpine-induced status epilepticus rat | Intravenous injection | Neuroprotective effects | Inhibiting HMGB1 and protecting blood brain barrier permeability . |
| 2. Glycyrrhiza inflata Batalin | Compound | Glycyrrhizin | CUMS mice | Intragastric administered | Antidepressant effects | Regulating enzyme of the kynurenine pathway Wang et al. (2018). | |
| 3. Glycyrrhiza glabra L. | Extract (ethanol) | Glycyrrhizin | Ischemic stroke mice | Intragastric administered | Neuroprotective effects | Regulating inflammation-related neuronal cells like microglia and astrocytes . | |
| Rou gui | Cinnamomum cassia (L.) J. Presl | Cinnamon powder | N/A | Migraine patients | Oral administration | Anti-migraine effects | Deducing the serum concentrations of IL-6 and NO of migraine patients Zareie et al. (2020). |
| Chuan xiong | Ligusticum striatum DC. | Compound | Senkyunolide I | Nitroglycerin-induced migraine rat | Intragastric administered | Anti-migraine effects | Adjusting the levels of monoamine neurotransmitters and their turnover rates, decreasing NO levels in the blood and brain Wang et al. (2011). |
| Compound | Ligustrazine | Nitroglycerin-induced migraine rat | Intravenous injection | Anti-migraine effects | Inhibiting over-expression of P2X3, TRPV1, c-fos, and ERK . | ||
| Compound | Alkaloids | Nitroglycerin-induced migraine rat Reserpine-induced migraine mice | Orally administrated | Anti-migraine effects | Increasing the levels of 5-HT and 5-HIAA in the brain, regulating the expression of monoamine neurotransmitter 5-HT1B receptor and c-Jun in the periaqueductal gray Pu et al. (2019). | ||
| Extract (supercritical carbon dioxide) | Volatile oil from Rhizoma Ligustici Chuanxiong Hort. | Nitroglycerin-induced headache mice and rat | Oral administration, Administered intraperitoneally | Anti-headache effects | Increasing the level of plasma ET, inhibiting the c-fos gene expression in the brain stem and hypothalamus and the level of plasma CGRP Peng et al. (2009). | ||
| Fu ling | Poria cocos (Schw.) Wolf | Compound | Acidic polysaccharides | CUMS rat | Intragastric administration | Antidepressant effects | Regulating neurotransmitters and NLRP3 inflammasome signalling pathway . |
| Compound | Pachymic Acid | Pentobarbital-induced sleep mice | Intragastric administration | Sedative-hypnotic effects | Enhancing pentobarbital-induced sleeping behaviors via GABAA-ergic mechanisms in rodents Shah et al. (2014). | ||
| Compound | Pachymic acid | Cerebral ischemia/reperfusion injury rat | Intragastric administration | Neuroprotective effects | Activating PI3K/Akt signalling pathway Pang et al. (2020). | ||
| Extract (ethanol) | N/A | ACTH-induced sleep disturbed mice | Intragastric administration | Sedative-hypnotic effects | Improving sleep quality under a normal sleep state through the GABAA receptor; promoting and improving sleep quality and sleep structure in both the arousal activation state and stress- based sleep disturbance . | ||
| Extract (water) | Polysaccharides | CUMS rat | Intragastric administration | Antidepressant-like effects | Regulating monoaminergic neurotransmission (DA, 5-HT) and inactivation of inflammation (p38, NF-κb and TNF-α) . | ||
| Bai zhu | Atractylodes macrocephala Koidz. | Compound | Atractylenolide III | CUMS rat | Intragastric administration | Antidepressant- and anxiolytic-like effects | Inhibiting hippocampal neuronal inflammation (proinflammatory cytokines levels) Zhou et al. (2021). |
| Compound | Atractylenolide I | CUMS mice | Intragastric administration | Antidepressant effects | Inhibiting NLRP3 inflammasome activation to decrease IL-1β production . | ||
| Compound | Atractylenolide III | 1. Transient occlusion to the middle cerebral artery mice | Intragastric administration, In vitro | Neuroprotective and anti-neuroinflammatory effects | Inhibiting neuroinflammation, partly by JAK2/STAT3-dependent mitochondrial fission in microglia Zhou et al. (2019). | ||
| 2. Oxygen glucose deprivation-reoxygenation stimulated primary microglia from mice | |||||||
| Yan hu suo | Corydalis yanhusuo W. T. Wang ex | Compound | Tetrahydropalmatine, corydaline, protopine, dehydrocorydaline | Formalin-induced pain mice; Nav1.7-CHO cells and Nav1.5-CHO cells | Intragastric administration, In vitro | Analgesic effects | Increasing the level of creatine kinase-MB and inhibiting the peak currents, promoting the activation and inactivation phases of Nav1.5 and Nav1.7 Xu et al. (2021). |
| Compound | Total alkaloids (Glaucine, Dehydrocorydaline, Palmatine, l-THP, Berberine, Corydaline, Tetrahydrocoptisine, Protopine, Tetrahydroberberine) | CCI-induced neuropathic pain rat | Intragastric administration | Anti-neuropathic pain effects | Relieving neuropathic pain in chronic constriction injury rats and repressing spinal central sensitization Zhou et al. (2023). | ||
| Extract (ethanol) | Corydalis tuber | CCI-induced neuropathic pain rat | Intragastric administration | Antinociceptive effects | Decreasing the nerve injury-induced mechanical allodynia, alleviating thermal heat hyperalgesia, reducing the nerve injury-induced phosphorylation of NMDA receptor NR1 subunit in the spinal dorsal horn . | ||
| Extract (water) | Dehydrocorybulbine, L-tetrahydropalmatine | Male dopamine D2 receptor knockout mice | Orally administrated | Antinociceptive effects | Mediating dopamine D2 receptor ant agonism Wang et al. (2016). | ||
| Ban xia | Pinellia ternate (Thunb.) Makino | Granules tuber of Pinellia Ternate (Thunb.) Breit. | L-arginine, Aspartic acid, 9-Oxo-nonanoic acid, r-Aminobutyric acid, Alanine, Proline, Coniferin, 5-Hydroxymethylfurfural, 5-Methyl uracil, Caffeic acid, 1,6:3,4-Dianhydro-β-D-allosep, Sucrose, Glutamic acid, Valine, 6- purine, Tyrosine, Methionine, Isoleucine, Pedatisectine B, Phenylalanine, Threonine, 5-Amyl-2-pyrone, Adenosine, Cyclo-(Val-L-Tyr), 1-O-glucosyl-N-2′-palmitoyl-4,8-sphingodienine, 2-Ethenyl butenal, Vanillic acid, Chrysophanol, Methyl phenanthrene, Inosine, Pinellic acid, Gingerol | Male SPF C57BL/6J mice | Intragastric administration | Sedative and hypnotic effects | Increasing rapid eye movement (REM) sleep and non-REM (NREM) sleep while decreasing wakefulness, decreasing the number of bouts of wakefulnes and increasing the number of bouts of NREM sleep . |
| Raw Pinelliae Rhizoma | Male C57BL/6 J mice | Intragastric administration | Sedative and hypnotic effects | Raw Pinelliae Rhizoma increased REM sleep duration in both the light and dark phases and increased the number of transitions both from NREM sleep to REM sleep and from REM sleep to wakefulness . | |||
| Extract of ban xia and sheng jiang at a ratio of 2:1 | Ephedrine, succinic acid, 6-gingerol, and 6-shogaol | Rat Pica | Intragastric administration | Antiemetic effects | Inhibiting cisplatin-induced NLRP3 inflammasome activation Meng et al. (2020). | ||
| Chen pi | Citrus reticulata Blanco | Compound | Nobiletin | CCI-induced neuropathic pain mice | Intragastric administration | Analgesic effects | Inhibiting the IRF5/P2X4R/BDNF signalling pathway in spinal microglia Zhu et al. (2022) |
| Extract (CO2) | Polymethoflavones and terpenes | CUMS mice | Intragastric administration | Antidepressant effects | Decreasing the content of monoamine oxidase in the cerebral cortex . | ||
| Extract (CO2) | D-limonene | Rat | Intragastric administration | Sedative and Hypnotic effects | The citrus essential oil significantly decreased REM sleep latency and increased total time and episode numbers of REM sleep . | ||
| Bai shao | Paeonia lactiflora Pall. | Compound | Paeoniflorin | CCI-induced neuropathic pain mice | Intragastric administration | Analgesic effects | Decreasing the levels of TNF-α and IL-1β proinflammatory cytokines in the spinal cord, inhibiting the over-activation of microglia and reducing the elevated expression levels of p-p38 MAPK and NF-κb in the spinal cord Zhou et al. (2017). |
| Extract (water) | Tetradecane, Pentadecane, Myrtanal, Hexadecanoic acid, methyl ester, 2-Heptadecanone, Hexadecanoic acid, ethyl ester, Paeonol, Lauric acid, Methyl linoleate, Tetradecanoic acid, Dibutyl phthalate, Myristelaidic acid, Pentadecanoic acid, n-Hexadecanoic acid, Palmitoleic acid, Heptadecanoic acid, cis-10-Heptadecenoic acid, Stearic acid, Oleic acid, Linoleic acid, Linolenic acid | Corticosterone-induced depression mice | Intragastric administration, In vitro | Anti-apoptotic effects Antidepressant effect | Regulating PI3K/Akt/Nrf2 signalling pathway Sun et al. (2022). | ||
| Xiang fu | Cyperus rotundus L. | Extract (ethanol) | Phenols, tannins, glycoside, and flavonoids | Sodium nitrite-induced hypoxia rats | Intragastric administration | Neuroprotective effects | Cyperus rotundus possesses a protective effect against sodium nitrite-induced hypoxia in rats . |
| Extract (ethanol) | Cyperi rhizome | CCI-induced neuropathic pain rat | Intragastric administration | Antinociceptive effects | Decreasing the nerve injury-induced mechanical allodynia, alleviating thermal heat hyperalgesia, reducing the nerve injury-induced phosphorylation of NMDA receptor NR1 subunit in the spinal dorsal horn | ||
| Extract of Chuanxiong Rhizoma and Cyperi Rhizoma (1:2, ethanol) | Ferulic acid, senkyunolide A, 3-n-butylphthalide, Z-ligustilide, Z-3-butylidenephthalid, cyperotundone, nookatone and α-cyperone | Nitroglycerin-induced migraine rat | Intragastric administration | Anti-migraine effects | Increasing the cerebral blood flow, decreasing the expression of CGRP and c-fos mrna, and regulating the releasing of endothelin-1, GABA, NOS, 5-HT, 5-HIAA, CGRP and β-EP in the serum and brainstem Wu et al. (2019). |
Potential mechanisms of frequent herbs for migraine and associated comorbidities.
Note: 5-HT: 5-hydroxytryptamine, 5-HIAA: 5-hydoxyindoleacetic acid; BDNF: brain-derived neurotrophic factor; β-EP: β-endorphin; CCI: chronic constriction injury; CGRP: calcitonin gene-related peptide; CK-MB: creatine kinase-myocardial band; CUMS: chronic unpredictable mild stress; DA: dopamine; ET: endothelin; GABAA: γ-amino butyric acid type A; HMGB1: high mobility group box 1 protein; GABA: γ-aminobutyric acid; IL-1β: interleukin-1β; IL-6: interleukin-6; MAPK: mitogen-activated protein kinase; N/A: not applicable; NF-κB: Nuclear factor kappa-light-chain-enhancer of activated B cells; NLRP3: nucleotide binding and oligomerization domain-like receptor family pyrin domain-containing 3; NMDA: N-methyl-D-aspartate; NO: nitric oxide, NOS: nitric oxide synthase; NREM: nonrapid eye movement; REM: rapid eye movement; TNF-α: tumor necrosis factor-α. * Botanical names based on the World Flora Online (WFO) Plant List (https://wfoplantlist.org/accessed 31 October 2023).
The frequently used PCHMPs exhibit diverse functions, including modulating gastrointestinal functions, improving sleeping quality, relieving neck pain and headache, regulating emotions, and treating stroke, as instructed in the Chinese Pharmacopoeia 2020 (State Pharmacopoeia Committee of China, 2020). According to the Chinese medicine holistic theory, various organs and systems interact with each other. Since migraine is a neurological condition often comorbid with depression, anxiety and sleeping disorders, and commonly presents with gastrointestinal symptoms like vomiting and nausea, it is understandable that PCHMPs prescribed for migraine patients would aim to address these issues. Anti-migraine effects of some specific PCHMPs like Tian shu capsule and Tong tian oral solution have been confirmed in clinical trials (Xia et al., 2013; Yu et al., 2019; ; ; ). Specifically, Tian shu capsule/tablet achieved its analgesic effects via regulating calcitonin gene-related peptide, adenosine A2a receptor and adenosine A1 receptor (). In addition, Tian shu capsule/tablet also exhibited anti-depression effects in mice model via regulating 5-hydroxytryptamine, dopamine, and norepinephrine in brain (Sun et al., 2018).
4.2 Implication for clinical practice and clinical research
4.2.1 Implication for clinical practice
Presently, evidence supporting the use of CHM for migraine-comorbid depression and insomnia remains insufficient. However, there is practical merit in considering CHM as a recommended approach to mitigate migraine severity, alleviate anxiety symptoms, and enhance migraine patients’ quality of life. A minimum treatment duration of 28 days is suggested to achieve these effects based on the results of the current study. The finding may fill in the gap of CHM treatment duration for migraine. Unfortunately, patient adherence and persistence with treatment regimen are often lacking and inadequate, resulting in many patients receiving an insufficient duration of CHM therapy for their migraines.
It is crucial to emphasise the positive correlations between an extended treatment duration and the potential for enhanced treatment outcomes. Disseminating this information to migraine patients could serve to bolster their commitment to treatment adherence and persistence.
Within real-world clinical practice, CHM decoctions for migraines can be modified based on classical formulae, tailored to individual patent characteristics and symptoms. Additionally, prescribing PCHMPs guided by holistic principles and syndrome differentiation is a viable strategy.
The excessive use of acute medications is widely acknowledged as a risk factor for chronic migraine (). Given CHM’s potential to alleviate migraine pain, it could serve as a valuable complementary approach alongside traditional acute medications. However, it is important to note that patients demonstrate suboptimal adherence to acute medication instructions, coupled with limited awareness of the necessity of reducing acute medications. While patient education has been shown to enhance clinical effectiveness for migraine treatment (Probyn et al., 2017), the availability of patient education remains inadequate, especially concerning chronic migraine (Short, 2019). As a result, incorporating patient education on appropriate acute medication usage and the perils of medication overuse in migraine management is imperative.
4.2.2 Implication for clinical research
In the realm of clinical research for migraine, it is advisable to incorporate assessments of comorbid anxiety, depression, and insomnia into trial designs. This inclusion is vital for addressing the preferences and values of migraine patients. Moreover, when designing clinical trials to assess the effects of CHM on migraines, a minimum intervention period of 28 days is recommended, based on the GLMM analyses of this study. Additionally, it is advisable to conduct controlled clinical trials to investigate different durations of CHM treatment to further deepen our understanding of the relationship between the length of treatment and the therapeutic effects.
4.3 Limitations and generalisability
As a cohort study, several biases could originate from various stages throughout the study, including selection bias and confusion bias (). However, effective measures have been implemented to control and minimise potential biases. Firstly, standardised inclusion criteria and a rigorous screening procedure were introduced to select representative migraine participants using a consecutive recruiting method. This method not only maintains external validity but also encompasses participants from a typical age range with a moderate disease duration, covering various migraine subtypes. Consequently, the study’s findings hold significant potential for sustainable generalisability. Secondly, strict follow-up plans with scheduled reminders and flexible response methods were employed to minimise the loss of follow-up bias. Thirdly, sophisticated multivariate analytical techniques were employed to minimise the confusion bias.
However, some inevitable limitations have been identified in this study. Firstly, the actual number of registered participants fell below the estimated count, and the rate of loss to follow-up remained noteworthy due to COVID-19-related quarantines, which may have influenced the availability of follow-up data. Secondly, due to its single-centre nature situation in southern China, the generalisability of the results might be compromised, limiting their applicability to migraine patients and Chinese medicine clinicians primarily in southern China. Moreover, the exceptional predominance of female participants in the study may restrict the generalisability of the findings to male migraine patients. This aspect warrants further investigation in future studies.
Nevertheless, it is important to recognise that the clinical expertise derived from real-world clinical practice, without researchers’ interference, adds practicality and relevance to clinical applications.
5 Conclusion
In real-world clinical practice, migraine patients undergoing an extended course of CHM (≥28 days) exhibited more severe migraine severity at baseline. However, they also achieved significant improvements in terms of monthly migraine days, peak pain NRS score, anxiety, and MSQ, which align with their primary preferences and values. Nonetheless, the current CHM treatment strategy employed in this study did not demonstrate effectiveness in addressing comorbid depression. Conversely, when administrated for less than 28 days, CHM treatment appeared to contribute primarily to the reduction of migraine pain and improvement in MSQ, without conferring sufficient benefits in preventing migraine attacks or addressing comorbidities.
Statements
Data availability statement
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding authors.
Ethics statement
The studies involving humans were approved by the ethics committee of Guangdong Provincial Hospital of Chinese Medicine (ZE 2020-243-01). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.
Author contributions
SL: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Project administration, Visualization, Writing–original draft, Writing–review and editing. CZ: Conceptualization, Methodology, Supervision, Writing–review and editing. AZ: Conceptualization, Methodology, Supervision, Writing–review and editing. XG: Conceptualization, Methodology, Supervision, Writing–review and editing. RH: Investigation, Project administration, Writing–review and editing. ZM: Data curation, Writing–review and editing. QS: Investigation, Project administration, Writing–review and editing. CX: Conceptualization, Methodology, Supervision, Writing–review and editing. JS: Conceptualization, Funding acquisition, Methodology, Supervision, Writing–review and editing.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The study was supported by the China-Australia International Research Centre for Chinese Medicine. It was funded by National Key Research and Development Program of China (No. 2019YFC1708601) and the Specific Fund of State Key Laboratory of Dampness Syndrome of Chinese Medicine (SZ2021ZZ14), and Guangdong Administration of Traditional Chinese Medicine (No: 20242024).
Acknowledgments
Firstly, the authors sincerely acknowledge, Dr Hui Li, Dr Xiaodong Luo, Dr Daoyou Zhou, Dr Lijun Qiao, Dr Manli Wu, Dr Lianghui Wu, Dr Keyi Lin, Dr Xinxin Liu, for their pivotal roles in participants screening and recruitment for my project. Secondly, the authors’ appreciation extends to the participants who graciously took part in the project, enabling the advancement of knowledge and research. Last but not least, the authors appreciated the statistical advice from Professor Cliff Da Costa, Dr Wenwei Ouyang and Dr Genghang Chen.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Abbreviations
AE, adverse event; CHM, Chinese herbal medicine; CRF, case report form; GAD-7, generalised anxiety disorder 7-item; GLMM, generalised linear mixed model; GPHCM, Guangdong Provincial Hospital of Chinese Medicine; ICHD-3, International Classification of Headache Disorders, third edition; ISI, insomnia severity index; MSQ, migraine-specific quality of life questionnaire; MSQ-EF, migraine-specific quality of life questionnaire-emotional function; MSQ-RFP, migraine-specific quality of life questionnaire-role function-preventive; MSQ-RFR, migraine-specific quality of life questionnaire-role function-restrictive; NRS, numeric rating scale; NSAIDs, nonsteroidal anti-inflammatory drugs; PCHMP, patented Chinese herbal medicine product; PHQ-9, patient health questionnaire-9.
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Summary
Keywords
migraine, Chinese herbal medicine, real-world, cohort study, preferences and values, clinical expertise
Citation
Lyu S, Zhang CS, Zhang AL, Guo X, Hua R, Mao Z, Su Q, Xue CC and Sun J (2024) Real-world observations and impacts of Chinese herbal medicine for migraine: results of a registry-based cohort study. Front. Pharmacol. 15:1330589. doi: 10.3389/fphar.2024.1330589
Received
31 October 2023
Accepted
15 January 2024
Published
02 February 2024
Volume
15 - 2024
Edited by
Tzer-Bin Lin, Taipei Medical University, Taiwan
Reviewed by
Francesco Fazio, University of California, San Diego, United States
Masahito Katsuki, Suwa Red Cross Hospital, Japan
Updates
Copyright
© 2024 Lyu, Zhang, Zhang, Guo, Hua, Mao, Su, Xue and Sun.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Charlie Changli Xue, charlie.xue@rmit.edu.au; Jingbo Sun, gdszyysjb@gzucm.edu.cn
Disclaimer
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