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ORIGINAL RESEARCH article

Front. Neurol., 16 March 2022
Sec. Neuromuscular Disorders and Peripheral Neuropathies
This article is part of the Research Topic The Quality of Life in Patients Affected by Neuromuscular Diseases View all 7 articles

Physical and Mental Aspects of Quality of Life in Patients With Charcot-Marie-Tooth Disease Type 1A

\nVukan Ivanovic&#x;Vukan Ivanovic1Bogdan Bjelica&#x;Bogdan Bjelica2Aleksa PalibrkAleksa Palibrk1Marija BrankovicMarija Brankovic1Ivo BozovicIvo Bozovic1Ivana BastaIvana Basta1Andrija SavicAndrija Savic3Vidosava Rakocevic StojanovicVidosava Rakocevic Stojanovic1Aleksandra Kacar
Aleksandra Kacar1*
  • 1Department of Neurology Clinic, Faculty of Medicine, University Clinical Center of Serbia, University of Belgrade, Belgrade, Serbia
  • 2Department of Neurology, Hanover Medical School, Hanover, Germany
  • 3Department of Neurosurgery Clinic, Faculty of Medicine, University Clinical Center of Serbia, University of Belgrade, Belgrade, Serbia

Introduction: Charcot-Marie-Tooth type 1A (CMT1A) comprises ~50% of all CMT cases. CMT1A is a slowly progressive motor and sensory neuropathy that leads to significant disability. We aimed to investigate the quality of life (QoL) in Serbian patients with CMT1A and to assess sociodemographic and clinical features associated with their QoL.

Material and Methods: Forty-five genetically confirmed patients with CMT1A were included −60% women [age 50.4 ± 12.6 years, disease duration 22 (12.5–31.5) years]. SF-36, Medical Research Council (MRC) Sum Score, CMT Examination Score (CMTES), Overall Neuropathy Limitation Scale (ONLS), Beck Depression Inventory (BDI), and Krupp's Fatigue Severity Scale (FSS) were used in the study.

Results: Regarding SF-36, Mental Health and Social Functioning were the scales with the best achievements, whereas Role Physical was the worst domain. Worse QoL in patients with CMT1A was associated with elder age (rho = −0.34, p < 0.05), longer disease duration (rho = −0.31, p < 0.05), more pronounced muscle weakness measured by MRC-SS (rho = 0.43, p < 0.01), presence of tremor (p < 0.05), worse CMTES (rho = −0.68, p < 0.01), more severe disability in upper (rho = −0.70, p < 0.01) and lower limbs (rho = −0.61, p < 0.01) measured by ONLS scores, use of walking aids (p < 0.01), and with depression (p < 0.01) and fatigue (p < 0.01). Worse scores on CMTES (beta = −0.43, p < 0.01), BDI (beta = −0.39, p < 0.01), and FSS (beta = −0.36, p < 0.01) were significant independent predictors of worse QoL in patients with CMT1A (adjusted R2 = 0.77, p < 0.001).

Conclusion: Besides impairment made directly by CMT1A itself, QoL in these patients was also strongly affected by the presence of depression and fatigue. Since CMT1A is still not a curable disease, it is of interest to identify factors associated with QoL that are amenable to treatment.

Introduction

Charcot-Marie-Tooth (CMT) disease is the most common inherited neuromuscular disease, with a prevalence of up to 82.3 per 1,00,000 inhabitants as registered in Norway (1). An epidemiological study conducted in Serbia reported a prevalence of 9.7/100,000 (2). CMT type 1A (CMT1A) is the most prevalent subtype of the disease, encompassing ~50% of all CMT cases, and it is caused by duplication of the PMP22 gene (3, 4).

The main clinical characteristics of CMT1A are early-onset, slowly progressive, symmetrical distal muscle weakness, length-dependent sensory impairment, and musculoskeletal deformities, which lead to significant disability and impaired quality of life (QoL). Previous studies reported reduced QoL in patients with CMT (515). Most of them emphasized disability, lower limb muscle weakness, gait impairment and use of walking aid (6, 7, 11, 12, 14, 15), or fatigue (9, 12) as the main predictors of reduced QoL in patients with CMT. Socioeconomic and mental aspects of the disease, such as unemployment and emotional distress, were also marked as factors associated with impaired QoL in these patients (5, 1113, 16). Some studies showed a significant influence of tremor on QoL, especially in pediatric patients with CMT1A (12, 17, 18). Considering the above-mentioned studies, it is not surprising that Redmond et al. (8) found a greater impairment in Physical Functioning, Vitality, and Bodily Pain domains of SF-36 in patients with CMT compared to patients with other chronic and disabling conditions, such as diabetes mellitus, post-stroke, and epilepsy (8).

Most previous studies examined QoL of a heterogeneous group of patients with CMT, including also patients diagnosed solely based on clinical features without a confirmed gene mutation. It is known that the CMT is a heterogeneous disease, presented differently depending on the underlying mutation and disease subtype. Because of the above-mentioned heterogeneity, we included only genetically confirmed patients with CMT1A, which is an important advantage of our study. Furthermore, our study is one of the few that examined the QoL of these patients in developing countries, which is of great importance considering the well-known association of Human Development Index (HDI) and QoL in the general population (19).

We aimed to investigate QoL in Serbian patients with CMT1A and to assess sociodemographic and clinical features associated with their QoL, especially ones that are potentially amenable to treatment or prevention.

Patients and Method

This study is a part of the Longitudinal Charcot-Marie-Tooth Neuropathy Study of Serbia (LoCh-NeSS) project, which was established to collect data on patients with CMT who have been diagnosed and/or followed at the Neurology Clinic, University Clinical Center of Serbia as the largest tertiary neuromuscular center in the country. Determination of the number of copies of the PMP22 gene was carried out in the Genetic Laboratory of the Neurology Clinic by the real-time quantification PCR (RT-PCR) using the TaqMan assay on the ABI7500Fast apparatus (Applied Biosystems, USA). The HSA gene was used as an endogenous control. The analysis was carried out in separate reactions, for each sample in triplicate, and the ΔΔCt model was applied in data processing (20). In 10 years, we identified 71 patients with PMP22 duplication. Among them, 21 patients were lost from follow-up and five refused to be tested. Finally, the total number of subjects included in the study was 45. This study was approved by the Ethical Committee of the Faculty of Medicine, University of Belgrade. Informed consent was obtained from all participants included in the study.

All patients were tested during 2018 and 2019. By reviewing medical records and surveying patients, the following sociodemographic data and clinical features were obtained: gender, age at disease onset, age at the time of referral to the genetic analysis, disease duration, and family history. We differed between juvenile disease onset (if symptoms started before the age of 20) and adult onset of the disease (if the first symptom was noticed after the age of 20). Evaluation of the limb muscle strength was done using the Medical Research Council (MRC) 0–5 point scale (0—no movement, 5—normal strength). Total MRC sum score (MRC-SS) was obtained by adding individual assessments of the following muscle groups on both sides: shoulder abductors, elbow flexors, wrist extensors, hip flexors, knee extensors, and foot dorsiflexors (21). Charcot-Marie-Tooth Examination Score (CMTES) was used to determine the severity of the disease (22). CMTES is a reliable and valid composite scale of seven assessments including symptoms (three items) and signs (four items), and it is a valid measure of overall impairment in patients with CMT. The degree of functional disability was assessed by the Overall Neuropathy Limitation Scale (ONLS) (23). The ONLS score measures the degree to which an individual is able to perform upper and lower limb activities, including turning a key in a lock, washing and brushing hair, doing or undoing buttons or zip, using a knife and fork together, walking, and running. For the evaluation of fatigue, Krupp's Fatigue Severity Scale (FSS) was used (24). It is a 9-item scale that measures the severity of fatigue and its effect on a person's activities and lifestyle. The level of depression was assessed using the Beck Depression Inventory (BDI). Depression was considered if the score was ≥11 (25). Results on the BDI scale in patients with CMT1A were compared with the gender- and age-matched healthy controls. The controls were selected from the large database of neuropsychological and behavioral tests conducted in healthy employees of the Clinic and their relatives. Cognitive functioning was assessed using the Mini-Mental Status Examination (MMSE) scale (26).

Serbian version of the SF-36 questionnaire was used to measure health-related QoL (27). It is a self-report instrument that combines eight general health concepts: physical functioning (PF), physical role (RP), bodily pain (BP), general health (GH), vitality (VT), social functioning (SF), emotional role (RE), and mental health (MH). We also used physical composite score (PCS), mental composite score (MCS), and total SF-36 score to summarize these eight scales. All scores are interpreted on a 0–100 scale, where higher numbers represent better QoL.

The normality of data was evaluated using the Kolmogorov–Smirnov test. For group comparisons, the χ2 test, Fisher test, Mann–Whitney U test, and Student's t-test were used as appropriate. Correlations were estimated using Spearman's rho. To obtain independent predictors of worse QoL, all variables that were associated with total SF-36 score (p < 0.01) in univariate analysis were included in the multiple linear regression analysis (stepwise method) with the total SF-36 score being a dependent variable. For all statistical tests, significant testing was two-sided, where p < 0.01 was considered highly significant and p < 0.05 significant.

Results

The main sociodemographic and clinical features of Serbian patients with CMT1A are shown in Table 1. Around 50% of patients had disease onset in the first two decades of life, while the median disease duration was 22 years. Mean limb muscle strength measured by the MRC-SS was 49.7 ± 6.4 out of 60. One-third of our patients needed walking aids. We observed a high prevalence of fatigue in patients with CMT1A (56%), whereas almost one-third of our patients had depression in comparison to only 2.2% in healthy controls (p < 0.01).

TABLE 1
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Table 1. Main sociodemographic and clinical features of patients with CMT1A (n = 45).

Results on the SF-36 questionnaire are shown in Figure 1. Furthermore, we analyzed the association of sociodemographic and clinical features with QoL in these patients. Worse scores (PCS, MCS, and total) were associated not only with worse CMTES, MRC-SS, and ONLS for both upper and lower limbs, but also with the presence of fatigue, depression, and walking aid use. Worse PCS and total SF-36 scores, but not MCS, were in association with elder age at testing, longer disease duration, and presence of tremor (Table 2). The following features did not correlate with any of the QoL scales (total SF-36 score, MCS, and PCS): gender, age at onset, sensory ataxia, cerebellar symptomatology, scoliosis, perceptive deafness, and MMSE.

FIGURE 1
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Figure 1. Results on the SF-36 questionnarie in Serbian CMT1A patients (n =45). PF, physical functioning; RP, physical role; BP, bodily pain; GH, general health; VT, vitality; SF, social functioning; RE, emotional role; MH, mental health; PCS, physical composite score; MCS, mental composite score.

TABLE 2
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Table 2. Association between sociodemographic/clinical features and total SF-36/PCS/MCS scores in patients with CMT1A (n = 45).

In the linear regression analysis, the SF-36 total score was a dependent variable, whereas all parameters that correlated with the total SF-36 score were independent variables. Worse scores on CMTES (beta = −0.43, p < 0.01), BDI (beta = −0.39, p < 0.01), and FSS (beta = −0.36, p < 0.001) were significant independent predictors of worse QoL in patients with CMT1A (adjusted R2 = 0.77, p < 0.001).

Discussion

Our results showed lower scores in all SF-36 physical domains in Serbian patients with CMT1A compared to the general population of neighborly Croatia (taken as a referent value due to the lack of data for the Serbian general population), which was expected considering CMT1A is an untreatable, progressive, chronic disorder (28). Surprisingly, our patients scored better in two of four mental domains of the SF-36 scale than the general population of Croatia (VT: 52.9 ± 25.14 vs. 51.8 ± 21.5, and MH: 68.3 ± 24.4 vs. 51.8 ± 21.5), which could be explained by the fact that mentioned study was conducted in transitional, post-war Croatia, which could negatively affect these two scores. In addition, it is possible that patients with CMT1A with a long-lasting chronic disease were able to cope with the disease in an adequate way, so their mental domains were higher than generally expected. Compared to Serbian patients with other chronic neuromuscular diseases, the total SF-36 score in patients with CMT1A was like in patients with chronic inflammatory demyelinating polyneuropathy (56.6 ± 25.4) and DM2 (53.6 ± 25.2). On the contrary, the QoL of patients with CMT1A was worse than in patients with MMN (69.8 ± 19.5) and better compared to our patients with myotonic dystrophy type 1 (44.0 ± 21.1) (2931).

We observed the lowest scores in RP, GH, and PF domains of SF-36. Similar findings with the lowest scores in GH, VT, PF, and RP domains of the SF-36 scale were previously observed in CMT1A (12, 32) and heterogeneous CMT cohorts (6, 14). Otherwise, Roberts-Clarke et al. (14) found similar QoL scores in ten patients with CMT as in the general population, except for GH and PF domains (14). The fact that these authors included only functionally independent patients who were not severely affected by the disease could explain these findings. Accordingly, we observed a greater decrease in PCS than in MCS, which was also reported earlier (5, 9, 12, 14, 32) and well expected as CMT primarily affects limb muscle strength leading to gait disturbances and global deterioration of physical capacity, often with a need for walking aid and loss of independence for daily tasks. On the contrary, Taniguchi et al. (16) showed significant impairment only in emotional and social domains of QoL in Brazilian patients with CMT1A compared to age- and gender-matched control groups and highlighted the importance of including these aspects of QoL in management and future treatment trials of patients with CMT1A (16).

In Serbian patients with CMT1A, decreased QoL in both mental and physical domains (MCS and PCS) was associated with greater muscle weakness, more severe disability, use of walking aids, presence of fatigue, and depression. Three earlier studies showed that disability and limb muscle weakness are the main predictors of worse PCS in a heterogeneous group of patients with CMT (6, 8, 15). Padua et al. (7) performed a study on 89 genetically confirmed patients with CMT1A. Authors reported that the ability to stand independently and the ability to toe- or heel-walk showed the most significant correlation with the SF-36 score (7). Tozza et al. (33) found that more pronounced limb weakness and balance impairment had the greatest self-assessed impact on QoL in patients with CMT1A (33).

Besides physical issues, we noticed a strong correlation between mental aspects of QoL and physical impairment/disability measured through the MRC-SS scale, CMTES scale, and ONLS. Two previous studies also found lower limb weakness/ability to toe-walk as independent predictors of worse scores on mental health domains of SF-36 in patients with CMT1A (7) and CMT as a whole (8). It is already known that lower physical activity levels in physically disabled people correlate with lower scores on mental aspects of QoL (34). This correlation is probably bivariate, because depression or anxiety in physically disabled people leads to even more reduced physical activity and social contacts, and thus to further deterioration of physical abilities (35).

We observed that worse PCS, but not MCS, in patients with CMT1A was associated with elder age, longer disease duration, and presence of tremor. Several studies also observed an association between age/disease duration and PCS, but not MCS (57). This is probably due to progressive disease course with an accumulation of neurological deficit, but also due to decline in physical functioning expected with age. Otherwise, elder patients with a longer disease course could be in some way habituated to their disability, which could reflect better scores on the mental domains of QoL. Association between tremor and decreased QoL in patients with CMT1A was already reported in our previous study (12), whereas the most significant influence of tremor on QoL has been shown earlier in the pediatric CMT1A population (17, 18). Considering this, adequate tremor management could be an important tool for improving QoL in these patients.

Besides impairment made by CMT itself (worse score on the CMTES scale), the main predictor of worse QoL in CMT1A was the presence of depression and fatigue. The prevalence of fatigued patients in our CMT1A cohort was 56%, which is in line with previous reports where authors emphasized fatigue as a significant independent predictor of worse QoL in CMT (9, 12, 36).

The prevalence of depression in patients with CMT1A was 28.9 vs. 2.2% in controls. Some previous studies did not find the excess prevalence of depression in patients with CMT (3740). On the contrary, other authors found a higher prevalence of depression in patients with CMT than in the general population (10, 12, 41). Some of them also highlighted depression as the main predictor of worse MCS (6) or both MCS and PCS (12). Padua, at least partially, explains this discrepancy by the fact that many items of the scales for self-assessment of depression refer to the disease-related symptoms and are, therefore, biased toward depression (38). The discrepancy in depression prevalence and its importance in CMT may be also explained by different scales used in different studies for the assessment of depression, different patients' sample sizes, different subtypes of CMT included, and socioeconomic and cultural differences between countries. Nevertheless, our results suggest that treatment of fatigue and depression could improve QoL in patients with CMT1A.

Our study has several limitations. First, the number of patients is relatively small, but not so small for such a rare disease. However, our study has the advantage that all patients were from the same cultural background. Another limitation of the study is that we did not assess correlations between QoL and nerve conduction study (NCS) results. However, we intentionally decided not to use the NCS part of the CMT Neuropathy Score (CMTNS), but only symptoms and signs scores, so-called CMTES. The reason for this is that previous studies showed that NCS items have a floor effect. For example, the ulnar SAP is absent in almost all patients with CMT, even in mildly affected individuals. Finally, it would be of interest to have prospective, longitudinal data on QoL in CMT1A. Since our patients were tested in the pre-COVID era, we believe that further assessment during the pandemic and in the post-COVID era will be of specific interest based on the previous literature (42). It is our plan to investigate these issues in future studies. While preparing interventional studies in CMT1A, it would be of interest to understand correlations between impairment, disability, QoL, and disease biomarkers (43).

In conclusion, our results confirmed a significant reduction of QoL in patients with CMT1A. We identified several factors associated with QoL, some of them being amenable to treatment, which is of crucial importance in developing new strategies for QoL improvement in untreatable, chronic disorders, such as CMT1A.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by Ethical Committee of the Faculty of Medicine, University of Belgrade. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

VI, BB, VS, and AK contributed to the concept or design of the study. VI, BB, AP, MB, IBa, IBo, and AS contributed to the analysis and interpretation of data. VI and BB produced the first draft of the manuscript. All authors provided input into subsequent drafts and reviewed and approved the final version for submission.

Funding

This study was supported by the Ministry of Education, Science and Technological Development of Serbia, #175083.

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.

References

1. Braathen GJ, Sand JC, Lobato A, Høyer H, Russell MB. Genetic epidemiology of Charcot-Marie-Tooth in the general population. Eur J Neurol. (2011) 18:39–48. doi: 10.1111/j.1468-1331.2010.03037.x

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Mladenovic J, Milic Rasic V, Keckarevic Markovic M, Romac S, Todorovic S, Rakocevic Stojanovic V, et al. Epidemiology of Charcot-Marie Tooth disease in the population of Belgrade, Serbia. Neuroepidemiology. (2011) 36:177–82. doi: 10.1159/000327029

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Lupski JR, De Oca-Luna RM, Slaugenhaupt S, Pentao L, Guzzetta V, Trask BJ, et al. DNA duplication associated with Charcot-Marie-Tooth disease type 1A. Cell. (1991) 66:219–32. doi: 10.1016/0092-8674(91)90613-4

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Patzkó Á, Shy ME. Update on Charcot-Marie-tooth disease. Curr Neurol Neurosci Rep. (2011) 11:78–88. doi: 10.1007/s11910-010-0158-7

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Vinci P, Serrao M, Millul A, Deidda A, De Santis F, Capici S, et al. Quality of life in patients with Charcot-Marie-Tooth disease. Neurology. (2005) 65:922–4. doi: 10.1212/01.wnl.0000176062.44360.49

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Padua L, Aprile I, Cavallaro T, Commodari I, La Torre G, Pareyson D, et al. Variables influencing quality of life and disability in Charcot Marie Tooth (CMT) patients: Italian multicentrestudy. Neurol Sci. (2006) 27:417–23. doi: 10.1007/s10072-006-0722-8

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Padua L, Shy ME, Aprile I, Cavallaro T, Pareyson D, Quattrone A, et al. Correlation between clinical/neurophysiological findings and quality of life in Charcot-Marie-Tooth type 1A. J PeripherNerv Syst. (2008) 13:64–70. doi: 10.1111/j.1529-8027.2008.00159.x

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Redmond AC, Burns J, Ouvrier RA. Factors that influence health-related quality of life in Australian adults with Charcot-Marie-Tooth disease. Neuromuscul Disord. (2008) 18:619–25. doi: 10.1016/j.nmd.2008.05.015

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Boentert M, Dziewas R, Heidbreder A, Happe S, Kleffner I, Evers S, et al. Fatigue, reduced sleep quality and restless legs syndrome in Charcot-Marie-Tooth disease: a web-based survey. J Neurol. (2010) 257:646–52. doi: 10.1007/s00415-009-5390-1

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Calvert M, Pall H, Hoppitt T, Eaton B, Savill E, Sackley C. Health-related quality of life and supportive care in patients with rare long-term neurological conditions. Qual Life Res. (2013) 22:1231–8. doi: 10.1007/s11136-012-0269-5

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Johnson NE, Heatwole CR, Ferguson M, Sowden JE, Jeanat S, Herrmann DN. Patient identification of the symptomatic impact of Charcot-Marie-Tooth disease type 1A. J Clin Neuromuscul Dis. (2013) 15:19–23. doi: 10.1097/CND.0b013e31829e22e3

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Bjelica B, Peric S, Bozovic I, Jankovic M, Brankovic M, Palibrk A, et al. Quality of life in hereditary neuropathy with liability to pressure palsies is as impaired as in Charcot-Marie-Tooth disease type 1A. Acta Neurol Belg. (2021) 121:1481–6. doi: 10.1007/s13760-020-01355-w

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Bjelica B, Brankovic M, Bozovic I, Palibrk A, Kacar A, Rakocevic-Stojanovic V. Employment status of patients with Charcot-Marie-Tooth type 1A. Acta Neurol Belg. (2021). doi: 10.1007/s13760-020-01566-1. [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Roberts-Clarke D, Fornusek C, Saigal N, Halaki M, Burns J, Nicholson G, et al. Relationship between physical performance and quality of life in Charcot-Marie-Tooth disease: a pilot study. J Peripher Nerv Syst. (2016) 21:357–64. doi: 10.1111/jns.12191

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Padua L, Aprile I, Cavallaro T, Commodari I, Pareyson D, Quattrone A, et al. Relationship between clinical examination, quality of life, disability and depression in CMT patients: Italian multicenter study. Neurol Sci. (2008) 29:157–62. doi: 10.1007/s10072-008-0928-z

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Taniguchi JB, Elui VM, Osório FL, Hallak JE, Crippa JA, Machado-de-Sousa JP, et al. Quality of life in patients with Charcot-Marie-Tooth disease type 1A. Arq Neuropsiquiatr. (2013) 71:392–6. doi: 10.1590/0004-282X20130045

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Burns J, Ramchandren S, Ryan MM, Shy ME, Ouvrier RA. Determinants of reduced health-related quality of life in pediatric inherited neuropathies. Neurology. (2010) 75:726–31. doi: 10.1212/WNL.0b013e3181eee496

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Auer-Grumbach M, Strasser-Fuchs S, Wagner K, Körner E, Fazekas F. Roussy-Lévy syndrome is a phenotypic variant of Charcot-Marie-Tooth syndrome 1A associated with a duplication on chromosome 17p11.2. J Neurol Sci. (1998) 154:72–5. doi: 10.1016/S0022-510X(97)00218-9

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Koohi F, Nedjat S, Yaseri M, Cheraghi Z. Quality of life among general populations of different countries in the past 10 years, with a focus on human development index: a systematic review and meta-analysis. Iran J Public Health. (2017) 46:12–22.

PubMed Abstract | Google Scholar

20. Aarskog NK, Vedeler CA. Real-time quantitative polymerase chain reaction. A new method that detects both the peripheral myelin protein 22 duplication in Charcot-Marie-Tooth type 1A disease and the peripheral myelin protein 22 deletion in hereditary neuropathy with liability to pressure palsies. Hum Genet. (2000) 107:494–8. doi: 10.1007/s004390000399

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Kleyweg RP, van der Meché FG, Schmitz PI. Interobserver agreement in the assessment of muscle strength and functional abilities in Guillain-Barré syndrome. Muscle Nerv. (1991) 14:1103–110. doi: 10.1002/mus.880141111

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Murphy SM, Herrmann DN, McDermott MP, Scherer SS, Shy ME, Reilly MM, et al. Reliability of the CMT neuropathy score (second version) in Charcot-Marie-Tooth disease. J Peripher Nerv Syst. (2011) 16:191–8. doi: 10.1111/j.1529-8027.2011.00350.x

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Graham R, Hughes R. A modified peripheral neuropathy scale: the overall neuropathy limitations scale. J Neurol Neurosurg Psychiatry. (2006) 77:973–6. doi: 10.1136/jnnp.2005.081547

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Krupp LB, LaRocca NG, Muir-Nash J, Steinberg AD. The fatigue severity scale. Application to patients with multiple sclerosis and systemic lupus erythematosus. Arch Neur. (1989) 46:1121–3. doi: 10.1001/archneur.1989.00520460115022

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Beck AT, Steer RA, Carbin MG. Psychometric properties of the beck depression inventory: twenty-fve years of evaluation. Clin Psychol Rev. (1988) 8:77–100. doi: 10.1016/0272-7358(88)90050-5

CrossRef Full Text | Google Scholar

26. Galea M, Woodward M. Mini-Mental State Examination (MMSE). Aust J Physiother. (2005) 51:198. doi: 10.1016/S0004-9514(05)70034-9

PubMed Abstract | CrossRef Full Text | Google Scholar

27. SF-36 Health Survey (original version) language recalls. Available online at: https://www.qualitymet ric.com. (accessed December, 2019).

Google Scholar

28. Jureša V, Ivanković D, Vuletić G, Babić-Anaszak A, Srček I, Mastilica M, et al. The Croatian health survey—SF-36: I. General quality of life assessment. Coll Anthropol. (2000) 24:69–78.

PubMed Abstract | Google Scholar

29. Bozovic I, Kacar A, Peric S, Nikolic A, Bjelica B, Cobeljic M, et al. Quality of life predictors in patients with chronic inflammatory demyelinating polyradiculoneuropathy. J Neurol. (2017) 264:2481–6. doi: 10.1007/s00415-017-8658-x

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Rakocevic Stojanovic V, Peric S, Paunic T, Pesovic J, Vujnic M, Peric M, et al. Quality of life in patients with myotonic dystrophy type 2. J Neurol Sci. (2016) 365:158–61. doi: 10.1016/j.jns.2016.04.018

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Bozovic I, Peric S, Basta I, Kacar A, Nikolic A, Belanovic B, et al. Quality of life in patients with multifocal motor neuropathy from Serbia. J Neurol Sci. (2019) 399:151–4. doi: 10.1016/j.jns.2019.02.029

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Colomban C, Micallef J, Lefebvre M-N, Dubourg O, Gonnaud PM, Stojkovic T, et al. Clinical spectrum and gender differences in a large cohort of Charcot–Marie–Tooth type 1A patients. J Neurol Sci. (2014) 336:155–60. doi: 10.1016/j.jns.2013.10.029

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Tozza S, Bruzzese D, Severi D, Spina E, Iodice R, Ruggiero L, et al. The impact of symptoms on daily life as perceived by patients with Charcot-Marie-Tooth type 1A disease. Neurol Sci. (2022) 43:559–63. doi: 10.1007/s10072-021-05254-7

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Rajati F, Ashtarian H, Salari N, Ghanbari M, Naghibifar Z, Hosseini SY. Quality of life predictors in physically disabled people. J Educ Health Promot. (2018) 7:61. doi: 10.4103/jehp.jehp_115_17

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Penninx BW, Leveille S, Ferrucci L, van Eijk JT, Guralnik JM. Exploring the effect of depression on physical disability: longitudinal evidence from the established populations for epidemiologic studies of the elderly. Am J Public Health. (1999) 89:1346–52. doi: 10.2105/AJPH.89.9.1346

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Kalkman JS, Schillings ML, van der Werf SP, Padberg GW, Zwarts MJ, van Engelen BG, et al. Experienced fatigue in facioscapulohumeral dystrophy, myotonic dystrophy, and HMSN-1. J Neurol Neurosurg Psychiatry. (2005) 76:1406–9. doi: 10.1136/jnnp.2004.050005

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Vinci P, Gargiulo P, Panunzi M, Baldini L. Psychological distress in patients with Charcot–Marie–Tooth disease. Eur J Phys Rehabil Med. (2009) 45:385–9.

Google Scholar

38. Vinci P, Gargiulo P, Colazza GB. Depression and Charcot-Marie-Tooth disease. Neurological Sciences. (2007) 28:295–6. doi: 10.1007/s10072-007-0841-x

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Carter GT, Abresch ET, Fowler WM. Profiles of neuromuscular diseases. Hereditary motor and sensory neuropathy types 1 and 2. Am J Phys Med Rehabil. (1995) 5:140–9. doi: 10.1097/00002060-199509001-00008

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Gargiulo P, Vinci P, Baldini L, Panunzi M. Psychological distress in Charcot-Marie-Tooth disease. Abstract-book of the 11th Annual Meeting of the Peripheral Nervous System Study Group, Siena, Italy, 12–14 April. p. 66.

Google Scholar

41. Phillips MF, Steer HM, Soldan JR, Wiles CM, Harper PS. Daytime somnolence in myotonic dystrophy. J Neurol. (2009) 246:275–82. doi: 10.1007/s004150050346

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Di Stefano V, Battaglia G, Giustino V, Gagliardo A, D'Aleo M, Giannini O, et al. Significant reduction of physical activity in patients with neuromuscular disease during COVID-19 pandemic: the long-term consequences of quarantine. J Neurol. (2021) 268:20–6. doi: 10.1007/s00415-020-10064-6

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Lupica A, Di Stefano V, Gagliardo A, Iacono S, Pignolo A, Ferlisi S, et al. Inherited neuromuscular disorders: which role for serum biomarkers? Brain Sci. (2021) 11:398. doi: 10.3390/brainsci11030398

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: Charcot-Marie-Tooth type 1A (CMT1A), quality of life, impairment, disability, fatigue, depression

Citation: Ivanovic V, Bjelica B, Palibrk A, Brankovic M, Bozovic I, Basta I, Savic A, Stojanovic VR and Kacar A (2022) Physical and Mental Aspects of Quality of Life in Patients With Charcot-Marie-Tooth Disease Type 1A. Front. Neurol. 13:852150. doi: 10.3389/fneur.2022.852150

Received: 10 January 2022; Accepted: 10 February 2022;
Published: 16 March 2022.

Edited by:

Anna G. Mayhew, Newcastle upon Tyne Hospitals NHS Foundation Trust, United Kingdom

Reviewed by:

Jefferson Becker, Pontifical Catholic University of Rio Grande do Sul, Brazil
Vincenzo Di Stefano, University of Palermo, Italy

Copyright © 2022 Ivanovic, Bjelica, Palibrk, Brankovic, Bozovic, Basta, Savic, Stojanovic and Kacar. 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: Aleksandra Kacar, aleksandra_kacar@yahoo.com

These authors have contributed equally to this work

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