Juan Su
Long He
Menglei Wang- 1 Pharmacy Department, The Second People’s Hospital of Meishan City, Meishan, China
- 2 School of Pharmacy, Southwest Medical University, Luzhou, China
- 3 Medical Affairs Department, The Second People’s Hospital of Meishan City, Meishan, China
Background and aims: Antiretroviral therapy (ART) based on dolutegravir (DTG) has emerged as a critical component in the treatment of HIV infection and is widely utilized in clinical practice. However, the existing post-marketing pharmacovigilance studies on DTG are incomplete; therefore, this study aims to comprehensively analyze the adverse events (AEs) related to DTG by utilizing the FDA Adverse Event Reporting System (FAERS) database.
Methods: This study includes adverse event reports from the fourth quarter of 2013 to the fourth quarter of 2024 in the FAERS database. Four disproportionality analysis methods were employed for adverse event signal mining: Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Empirical Bayesian Geometric Mean (EBGM). Additionally, clinical priority and time-to-onset characteristics were assessed.
Results: A total of 13,007 case reports were collected with DTG as the primary suspected (PS) drug, including 32,383 AEs. Observed disproportionate associations with the use of DTG were related to pregnancy, puerperium and perinatal conditions (n = 688; ROR = 5.53, 95% CI 5.13–5.96), hepatobiliary disorders (n = 655; ROR = 2.45, 95% CI 2.27–2.65), and congenital, familial and genetic disorders (n = 550; ROR = 6.11, 95% CI 5.62–6.65). A total of 341 AE signals were identified in the overall analysis, among which 164 were rated as moderate clinical priority, with no high clinical priority signals. Notably, subgroup analyses revealed that progressive multifocal leukoencephalopathy (n = 9) in males, progressive multifocal leukoencephalopathy (n = 6) and deafness neurosensory (n = 3) in the 18–45 age group, and hepatic necrosis (n = 4) in the 46–65 age group were rated as high clinical priority. The overall onset time for all AEs exhibited an early failure pattern, with a median onset time of 74 days (IQR 19–310.5), whereas the median onset time for designated medical events (DMEs) was 59 days (IQR 12–186).
Conclusion: The long-term safety of DTG requires reassessing its risk-benefit ratio. To mitigate the risk of irreversible organic damage, a structured risk management strategy is essential. This strategy should encompass restrictions on contraindicated populations, enhanced monitoring of high-risk subgroups, and the implementation of post-marketing prospective cohort studies to ensure the sustainability of antiviral therapy.
1 Introduction
The global public health issue posed by HIV infection and transmission remains critical. According to statistics, approximately 1.3 million individuals were newly infected with HIV globally in 2023, and around 630,000 succumbed to AIDS-related illnesses (Global HIV & AIDS statistics—Fact sheet UNAIDS, 2025). Advances in antiretroviral therapy have transformed HIV and opportunistic infections into manageable chronic conditions. By the end of 2023, approximately 77% (30.7 million) of people living with HIV (PLWH) were receiving antiretroviral treatment (Swinkels et al., 2024; Data on the HIV response, 2025). Dolutegravir (DTG), a second-generation HIV-1 integrase strand transfer inhibitor (INSTI), is distinguished by its potent efficacy, high resistance barrier, once-daily pharmacokinetics, low potential for drug interactions, and reliable safety profile (Cahn et al., 2013; Raffi et al., 2013; Walmsley et al., 2013; Castagna et al., 2014; Mehta et al., 2023; Cordova et al., 2025; White et al., 2025). It has been recommended by international treatment guidelines as a first-line therapy for both antiretroviral therapy (ART)-naive and treatment-experienced patients since 2014 (Gandhi et al., 2023; What’s New, 2024; EACS Guidelines 2024, n.d.).
The Botswana Tsepamo study previously reported that among 426 infants born to mothers who received DTG treatment prior to pregnancy, 4 (0.94%) were diagnosed with neural tube defects (NTD), a rate that is higher than expected (Zash et al., 2018). Subsequent pharmacovigilance studies conducted detailed analyses but did not establish a definitive link between DTG and the occurrence of neural tube defects (van De Ven et al., 2020; Saint-Lary et al., 2024). Meanwhile, as the number of pre-pregnancy exposures increased, the risk of NTD significantly decreased by 17% (Zash et al., 2019), and other studies collectively enhanced the credibility of these findings (Eke et al., 2023; Gill et al., 2023; Kourtis et al., 2023). The potential adverse effects of DTG continue to emerge. As safety concerns regarding neural tube defects gradually diminish, issues related to weight gain and cardiovascular risks have come to the forefront (Brennan et al., 2023; Palella et al., 2023). However, the evaluation of DTG’s effects on weight changes and cardiovascular risks is often complicated by various influencing factors, including the impact of HIV infection on body metabolism and the alterations in clinical ART regimens (Ebasone et al., 2025). Recent research suggests that weight gain following the use of INSTIs is more likely associated with changes in ART regimens rather than the medication itself (Wu et al., 2024; Cutshaw et al., 2025).
Neuropsychiatric adverse events associated with DTG are of considerable significance. A systematic review by Pérez-Valero et al. examined discontinuation rates due to neuropsychiatric symptoms in HIV-infected individuals receiving INSTIs. The findings indicated that the discontinuation rate among patients on DTG-based regimens ranged from 0% to 11.8% (median 2.8%), whereas those receiving Bictegravir/Emtricitabine/Tenofovir Alafenamide (BIC/FTC/TAF) exhibited a discontinuation rate ranging from 0% to 3.1% (median 0.7%), highlighting a significant difference. Notably, factors such as age over 50 years, female sex, and lack of prior ART were identified as potential risk factors (Pérez-Valero et al., 2023). The use of DTG has frequently been linked to adverse events, including depression and insomnia (Hoffmann and Llibre, 2019; Pérez-Valero et al., 2023; Chanie et al., 2025), with female HIV patients being particularly vulnerable to neuropsychiatric complications, particularly depression, which has increasingly attracted research attention. In a study evaluating depression and suicidal behavior associated with integrase inhibitors (INTIs) conducted by Laure-Hélène Préta et al., notable disparities in information were highlighted, especially regarding DTG, which exhibited a higher risk of depression (Reporting Odds Ratio [ROR] 1.3; 95% Confidence Interval [CI]: 1.1–1.6) and suicide (ROR 1.8; 95% CI: 1.5–2.3) compared to other ART (Préta et al., 2023).
The FDA Adverse Event Reporting System (FAERS) database serves as an open-access post-marketing safety surveillance resource, providing essential information for pharmacovigilance research. Our study aims to leverage the extensive real-world data accumulated post-marketing of DTG to enhance the safety monitoring of DTG while thoroughly investigating potential adverse event signals, thereby offering valuable references for the individualized selection and adjustment of clinical ART regimens.
2 Materials and methods
2.1 Data sources
The data extraction and analysis procedure is illustrated in Figure 1. Data were extracted from the FAERS (https://fis.fda.gov/extensions/FPD-QDE-FAERS/FPD-QDE-FAERS.html), which primarily includes reports of adverse events, medication errors, and product quality complaints submitted by healthcare professionals, pharmaceutical manufacturers, legal representatives, and individual patients. This dataset encompasses patient demographic data (DEMO), drug information (DRUG), adverse event information (REAC), patient outcome information (OUTC), report source information (RPSR), drug therapy date information (THER), and drug indication (INDI). Following the removal of duplicate reports using the recommended methodology (He et al., 2025), we screened adverse event reports from the fourth quarter of 2013 to the fourth quarter of 2024, including only those reports where DTG was the primary suspected (PS) drug. This approach enhances the accuracy of the analysis and minimizes potential confounding factors.
Figure 1. Flow chart of data extraction and analysis. A detailed description of the flow chart for data extraction and analysis of adverse events for dolutegravir in the US Food and Drug Administration Adverse Event Reporting System (FAERS).
2.2 Disproportionate analysis
Disproportionality analysis is a widely utilized method for monitoring adverse drug reaction signals in the post-marketing phase. In this study, we employed four disproportionality analysis methods to identify AE signals associated with drugs: the Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Empirical Bayesian Geometric Mean (EBGM), and Bayesian Confidence Propagation Neural Network (BCPNN). Detailed formulas and signal detection criteria are provided in the Supplementary Table S1; only those signals that met the detection thresholds of all four methods were considered potential AE signals for DTG. Adverse events were standardized according to the Medical Dictionary for Regulatory Activities (MedDRA v27.1), and signal mining was conducted at both the System Organ Class (SOC) and Preferred Term (PT) levels. Furthermore, to explore potential differences in AE signals among various populations following the use of DTG and to enhance the robustness of our results, we also performed subgroup analyses based on age and gender.
2.3 Classification and prioritization of relevant disproportionality signals
To evaluate the clinical priority of positive signals, we assessed four indicators: the number of target events, the lower limit of the ROR, the proportion of reports with death as outcome, and compliance with the Important Medical Event (IME) or Designated Medical Event (DME) criteria (Cecco et al., 2024) (see Table 1).
Table 1. Criteria and relevant scores to prioritize AEs emerged from disproportionality analysis.
Scores ranging from 0 to 2, 3 to 5, and 6 to 8 were used to classify AEs as having low, moderate, or high priority, respectively.
2.4 Analysis of onset time and statistical analysis
The time interval from the start date to the event date in the AE reports was utilized to determine the time to onset. Reports with missing information were excluded from the analysis, followed by a Kaplan-Meier analysis. Subgroup analyses were conducted separately based on age, sex, medical event category, and report outcome. This involved calculating the median time to onset and the interquartile range (IQR), with differences between groups tested using the Wilcoxon test, and statistical significance was set at p < 0.05. This study employed R (version 4.3.3) and Microsoft Excel (version 2021) for data processing and analysis, with results visualized in GraphPad Prism (version 9.5).
3 Descriptive analysis
A total of 13,007 case reports associated with the use of DTG were included in this analysis, encompassing 32,383 reported adverse events (see Figure 1). The AE characteristics of DTG are summarized in Table 2. The majority of these reports originated from the United States (59.11%), with a higher proportion of reports submitted by males (52%) compared to females (21%). The number of reports submitted by individuals aged 18–45 and 46–65 was notably higher and similar (19.59% vs. 18.87%), with a median age of 47 years (IQR 35–57). Additionally, consumers submitted the majority of reports (44.90%), and among the known report outcomes, other serious events (important medical events) accounted for the highest proportion (30.00%), followed by hospitalization (13.60%). The majority of patients utilized DTG for the treatment of HIV infection.
Table 2. Reported characteristics of adverse events for dolutegravir.
Figure 2a illustrates the trend in the number of reported cases from 2013 to 2024. Until 2019, the number of reports exhibited a consistent upward trajectory; however, it experienced a sharp decline post-2019, followed by a steep increase after 2021. In the statistical analysis of drug combinations with DTG (Figure 2b), Lamivudine was the most frequently co-administered drug (n = 1,256), followed by Truvada (n = 915) and Tenofovir Disoproxil Fumarate (n = 606).
Figure 2. Trends in the number of AEs reported for dolutegravir from Q4 2013 to Q4 2024 and analysis of co-administration. (a) The report trend of dolutegravir. (b) Analysis of co-administration.
Among the 27 SOC categories involved, the following met the criteria for signal detection and were identified as positive SOC signals: pregnancy, puerperium, and perinatal conditions (n = 688; ROR = 5.53, 95% CI = 5.13–5.96); hepatobiliary disorders (n = 655; ROR = 2.45, 95% CI = 2.27–2.65); and congenital, familial, and genetic disorders (n = 550; ROR = 6.11, 95% CI = 5.62–6.65) (Table 3).
Table 3. Positive signals were detected by disproportionality at the soc level.
To enhance the robustness of signal detection results at the SOC level, further subgroup analyses including age and gender were conducted, revealing positive signals (Figure 3). Compared to the positive signal analysis results at the SOC level (Table 3), no positive signals for hepatobiliary disorders were detected in males, while a new signal for injury, poisoning, and procedural complications was identified in females. Additionally, the signal strengths for pregnancy, puerperium, and perinatal conditions (n = 454; ROR = 14.61, 95% CI = 13.28–16.08) and congenital, familial, and genetic disorders (n = 109; ROR = 8.37, 95% CI = 6.93–10.12) were significantly higher with narrower confidence intervals, suggesting that these may have been diluted in the overall assessment. In the analysis of age subgroups, a phased change was observed. In the 0–17 years group, there was a higher incidence of adverse events related to congenital, familial, and genetic disorders (n = 36; ROR = 19.79, 95% CI = 13.96–28.06) and pregnancy, puerperium, and perinatal conditions (n = 22; ROR = 22.9, 95% CI = 14.82–35.39), exhibiting high signal intensity but wide confidence intervals. The positive signals in the 18–45, 46–65, and >65 age groups gradually transitioned from congenital, familial, and genetic disorders to pregnancy, puerperium, and perinatal conditions, hepatobiliary disorders, and renal and urinary disorders.
Figure 3. Disproportionate analysis of AE reports in the age and sex subgroups of dolutegravir. SOC, system organ class; N, the report number; ROR, the reporting odds ratio; PRR, the proportional reporting ratio; IC, the information component; EBGM, the empirical bayesian geometric mean; CI, confidence interval; 95% CI, two-sided for ROR; IC025 and EBGM05 lower one-sided for IC, and EBGM.
Through disproportionality analysis, a list of AE signals was generated, these signals were subsequently matched against clinical priority criteria (Table 1) and screened, yielding 341 pharmacovigilance signals of which 164 AEs were classified as moderate clinical priority, with no high clinical priority signals identified (Supplementary Table S2). Among these, the following AEs were rated with a score of five points: progressive multifocal leukoencephalopathy (n = 24), hepatic necrosis (n = 11), anencephaly (n = 9), spina bifida (n = 9), fetal cardiac disorder (n = 5), gastroschisis (n = 4), central nervous system immune reconstitution inflammatory response (n = 3), and neonatal death (n = 3).
Additionally, there are five DME signals categorized under moderate clinical priority (Table 4), which include renal failure (4 points), drug-induced liver injury (4 points), pancreatitis (4 points), progressive multifocal leukoencephalopathy (5 points), and hepatic necrosis (5 points).
Table 4. Designated medical events showing statistically significant disproportionality in overall AEs.
We replicated the same analytical method for subgroups, and Table 5 presents the DME signals detected in the subgroup analysis. In the male group, moderate clinical priority signals included pancreatitis (4 points), drug-induced liver injury (4 points), and hepatic necrosis (5 points). Notably, progressive multifocal leukoencephalopathy (6 points) exhibited a mortality rate of 55.56% and was classified as a high clinical priority. In the female group, five DMEs were identified: drug-induced liver injury (4 points), pancreatitis (4 points), acute pancreatitis (4 points), acute hepatic failure (4 points), and hepatic necrosis (4 points), all rated as moderate clinical priority. Regarding the age subgroups, no DME signals were detected in the 0–17 years group. In the 18–45 years group, two high clinical priority signals were identified: progressive multifocal leukoencephalopathy (6 points) and deafness neurosensory (6 points), alongside three moderate clinical priority signals: drug-induced liver injury (4 points), pancreatitis (4 points), and hepatic necrosis (4 points). Additionally, hepatic necrosis (6 points) was recognized as a high clinical priority signal in the 46–65 age group, along with four moderate clinical priority signals: renal failure (5 points), drug-induced liver injury (5 points), rhabdomyolysis (4 points), and generalized exfoliative dermatitis (4 points). In the >65 age group, only renal failure (5 points) and pancreatitis (4 points) were detected.
Table 5. Designated medical events showing statistically significant disproportionality in subgroups.
After excluding reports lacking information on the time of onset, a total of 5,648 cases were included and subjected to Weibull 3-parameter analysis, as well as an analysis of AE onset characteristics across different subgroups (Figure 4). The median time to onset for all included reports was 74 days (IQR 19–310.5), with the shape parameter β of the Weibull distribution and its upper limit of the 95% confidence interval both being less than 1, indicating an early failure type (Figure 4a). The cumulative distribution curves for DME, IME, and other AEs demonstrated that the median time to onset of DME was 59 days (IQR 12–186), which occurred significantly earlier than that of the other AEs (p < 0.001) (Figure 4b). In the analysis of the four age groups, the median onset times for the 0–18 and >65 age groups were 182 days (IQR 53–387) and 154 days (IQR 38–553), respectively, both of which were significantly delayed compared to the other two age groups (p = 0.007) (Figure 4c). Additionally, the median time to onset for AE reports with a fatal outcome was 186 days (IQR 55–573), while for non-fatal reports it was 95 days (IQR 24–383), indicating a significant difference (p < 0.001) (Figure 4d). The analysis of the reported gender subgroups did not reveal any differences in onset time between males and females (p = 0.39) (Figure 4e). In summary, except for the median onset time of DME being approximately 60 days, the median onset times in other subgroups were all greater than 90 days.
Figure 4. Time to onset analysis of AE for dolutegravir. (a) Analysis of Weibull 3-parameter for overall AEs; (b) Cumulative distribution curves for DME, IME, and other AEs. (c) Cumulative distribution curves for different age groups. (d) Cumulative distribution curves for fatal and non-fatal outcomes. (e) Cumulative distribution curves for male and female groups; IQR, interquartile range.
4 Discussion
This study systematically evaluates the safety profile of DTG based on data from the global spontaneous reporting system. Utilizing a substantial number of AE reports from the FAERS database, we thoroughly explored the potential AE signals and characteristics of AEs induced by DTG through disproportionality analysis and further clinical priority assessment, while also conducting an analysis of the onset time of AEs.
Our findings indicate that males reported significantly more AE reports compared to females (52% vs. 21%). According to statistics from the Joint United Nations Programme on HIV/AIDS (UNAIDS), over 73% of new HIV infections in 2023 in regions outside of sub-Saharan Africa were among males (Global HIV & AIDS statistics—Fact sheet UNAIDS, 2025). Moreover, due to concerns regarding neural tube defects in infants born to women who took DTG at conception, the World Health Organization (WHO) issued interim guidelines in July 2018 recommending cautious use of DTG in women of childbearing age and adolescent girls (Update of recommendations on first- and second-line antiretroviral regimens, 2025). This guidance significantly reduced the use of DTG regimens among females, as evidenced by the analysis of reporting trends (Figure 2). However, in recent years, this gender disparity has gradually narrowed (Tiendrebeogo et al., 2024). It is noteworthy that, although the total number of reports from females remains relatively low, a significant risk association has been observed in pregnancy-related SOC signals (n = 454; ROR = 14.61, 95% CI = 13.28–16.08) and congenital anomaly signals (n = 109; ROR = 8.37, 95% CI = 6.93–10.12), which should not be overlooked.
Adverse effects on both pregnant women and fetuses have been observed with the use of DTG. Despite the wide confidence intervals, our study identified significant associations related to pregnancy (ROR = 22.9) and congenital disorders (ROR = 19.79) within the 0–17 age group and the female subgroup. Research conducted by Molly Hey et al. indicated that women living with HIV (WLHIV) receiving DTG had an increased risk of preterm birth (PTB) and being small for gestational age (SGA) compared to their HIV-negative counterparts (Hey et al., 2025). Ongoing studies have examined the effects of DTG on pregnant women and fetuses (Zash et al., 2018; Zash et al., 2019; CABRERA et al., 2019; van De Ven et al., 2020; Eke et al., 2023; Foster et al., 2023; Gelineau-van Waes et al., 2023; Gill et al., 2023; Kourtis et al., 2023; Saint-Lary et al., 2024). Among the cases of first-trimester DTG exposure reported to the Antiretroviral Pregnancy Registry, the prevalence of birth defects was recorded at 3.3%, with no significant increase in the risk of such defects (Appendix B: Dolutegravir (Tivicay, Tivicay PD) - Safety and Toxicity in Pregnancy NIH, 2025). However, in countries with varying nutritional resource statuses, the weight gain and other metabolic impacts associated with DTG use may adversely affect pregnancy outcomes (Asif et al., 2021; Dontsova et al., 2023).
Significant AEs related to the hepatobiliary system were observed, alongside metabolic effects. Currently, although results from the ADVANCE clinical trial are contradictory (Griesel et al., 2020), numerous studies indicate that DTG is associated with increased weight gain, whether during ART initiation or transition to a DTG-based regimen (Wohl et al., 2019; Calmy et al., 2020; Ando et al., 2021; Jemal, 2024). Women have been identified as a risk factor, potentially due to the inhibition of the melanocortin 4 receptor (MC4R) (Sax et al., 2019; Lake et al., 2020; Jemal, 2024). Higher circulating leptin levels in females stimulate pro-opiomelanocortin (POMC) neurons to produce POMC peptides, which activate the MC4R to suppress food intake and reduce body weight. The expression of leptin receptors on POMC neurons is required for regulating fat distribution in females. Consequently, the inhibitory effect of DTG on MC4R may influence the regulation of female fat distribution (Lake et al., 2020).
Concurrently, abnormal signals related to blood glucose and lipid levels were detected, such as hyperglycemia and hyperlipidemia (see Supplementary Table S2). The weight gain and metabolic effects induced by DTG, including obesity and diabetes, may further contribute to the development of non-alcoholic fatty liver disease (Jemal, 2024; Ram and Subramanian, 2025). These metabolic effects could also potentially lead to the occurrence of pancreatitis (Simeni Njonnou et al., 2020); however, the rarity of related cases complicates this determination (Thompson et al., 2015). In large-scale clinical trials, instances of abnormally elevated liver enzymes and acute liver injury accompanied by jaundice due to hypersensitivity reactions were reported. The immune reconstitution associated with ART treatment may be linked to the occurrence of hepatitis in patients co-infected with hepatitis B virus (HBV) and hepatitis C virus (HCV) (Dolutegravir, 2006). Furthermore, medication errors relating to renal and hepatic dose adjustments in multi-tablet regimens may increase the incidence of these adverse reactions (Kelley et al., 2025). A case report documented a 47-year-old male patient who developed delayed-onset liver injury following the use of Triumeq (abacavir/lamivudine/dolutegravir) (Christensen et al., 2017). However, these findings necessitate further clinical studies for confirmation. Additionally, the shape parameter β of the Weibull distribution is 0.58, and the median time to onset of these DTG-induced DME is 59 days, underscoring the importance of early monitoring of biochemical indicators during medication use.
When administered at a daily dose of 50 mg, DTG results in an approximate 10% reduction in creatinine clearance (CrCl) by inhibiting organic cation transporter 2, which is generally considered clinically insignificant (Koteff et al., 2013). Traditional risk factors such as diabetes and hypertension are prevalent among PLWH, and elderly patients experience ongoing nephron aging, increased drug elimination, and exposure, often necessitating the use of multiple medications that may have potential adverse effects and are prone to interactions (EACS Guidelines, 2024, n.d.). Current research has yet to elucidate the renal failure signals observed in the population aged over 65 years; thus, caution is warranted to prevent overlooking renal injury attributed to the perceived reduction in estimated glomerular filtration rate (eGFR) caused by DTG. We noted a median onset time of 154 days for AEs in elderly patients, suggesting the potential for cumulative toxicity from long-term medication use, thereby underscoring the necessity for long-term monitoring.
The potential risks associated with progressive multifocal leukoencephalopathy (PML) and sensorineural deafness are considerable. PML is a rare and destructive central nervous system (CNS) disease caused by the reactivation of the John Cunningham virus (JCV) in immunocompromised patients (Tan and Koralnik, 2010), a relatively common complication of HIV disease. Moreover, the immune reconstitution inflammatory syndrome (IRIS), which is often induced following the initiation of combination antiretroviral therapy (cART) in PLWH, tends to exacerbate PML (Müller et al., 2010; Fournier et al., 2017). In the study conducted by Ingeborg E. A. Wijting et al., DTG was found to be associated with an increased risk of IRIS (odds ratio [OR] 4.08, 95% CI: 0.99–16.82, p = 0.052) (Wijting et al., 2019). The proportion of males affected is notably higher, at 56% (Fournier et al., 2017), which correlates with the IRIS signals we observed and the PML signals identified within the male subgroup. Additionally, DTG-based ART may elevate mitochondrial oxidative stress through various pathways (Mohan et al., 2023), leading to increased production of reactive oxygen species (ROS), oxidative stress, and inflammation, all of which could potentially accelerate the progression of sensorineural deafness. Alarmingly, PML and sensorineural deafness accounted for 66.67% (4 out of 6 cases) and 66.67% (2 out of 3 cases) of fatal outcomes, respectively, in adverse event reports for the 18–45 age group. Notably, PML resulted in a mortality rate of 41.67% (10 out of 24 cases) across all populations. We believe this represents a significant direction for future research.
It is essential to acknowledge the limitations of our study. First, the FAERS database consists of spontaneously submitted reports. While we standardized adverse events using MedDRA terminology and endeavored to collect drug names as comprehensively as possible, the inherent underreporting and reporting biases associated with spontaneous reporting systems may compromise the reliability of the signals. Additionally, due to the absence of exposure data in the reports, the incidence of adverse events cannot be calculated. Second, confounding factors introduced by other ART drugs used in DTG-based combination therapies are challenging to exclude, particularly in the context of fixed-dose combinations. Consequently, while we conducted statistical analyses on combination therapies, the interpretative value of these references is limited. Moreover, the disproportionality analysis method cannot accurately assess the true risk of AEs; it is important to recognize that this method only illustrates a statistical association. Although we also employed a clinically prioritized comprehensive assessment, this potential association should be interpreted cautiously. Finally, further prospective studies are necessary to comprehensively evaluate the results from pharmacovigilance analyses, thereby enhancing and optimizing the rational use of clinical drugs.
5 Conclusion
Utilizing large-scale real-world data, our pharmacovigilance study conducted a comprehensive exploration of potential adverse reaction signals associated with the use of DTG. We identified that the use of DTG is associated with AEs related to pregnancy, puerperium and perinatal conditions, hepatobiliary disorders, as well as congenital, familial, and genetic disorders. Although no high clinical priority AE signals were identified overall, subgroup analyses revealed that progressive multifocal leukoencephalopathy in males, progressive multifocal leukoencephalopathy and deafness neurosensory in the 18–45 age group, and hepatic necrosis in the 46–65 age group were rated as high clinical priority and warrant attention. Furthermore, the analysis of the time to AE onset suggested an early failure pattern, with the majority of AEs occurring after 70 days. Therefore, the long-term safety of DTG necessitates a reassessment of the risk-benefit ratio, along with the implementation of structured risk management strategies, including restrictions on contraindicated populations, enhanced monitoring of high-risk subgroups, and post-marketing prospective cohort studies, to mitigate the risk of irreversible organic damage and ensure the sustainability of antiviral therapy.
Data availability statement
Publicly available datasets were analyzed in this study. This data can be found here: https://fis.fda.gov/extensions/FPD-QDE-FAERS/FPD-QDE-FAERS.html.
Author contributions
JS: Writing – review and editing, Methodology, Data curation, Software, Resources, Writing – original draft, Visualization. LH: Data curation, Writing – review and editing, Methodology, Writing – original draft. MW: Visualization, Data curation, Writing – review and editing, Methodology, Writing – original draft, Supervision.
Funding
The author(s) declare that no financial support was received for the research and/or publication of this article.
Acknowledgments
Thanks to the United States FDA for providing a free source of data for the study.
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.
Generative AI statement
The author(s) declare that no Generative AI was used in the creation of this manuscript.
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.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphar.2025.1625601/full#supplementary-material
Abbreviations
AE, adverse event; ART, antiretroviral therapy; BCPNN, Bayesian Confidence Propagation Neural Network; BIC/FTC/TAF, Bictegravir/Emtricitabine/Tenofovir Alafenamide; cART, combination antiretroviral therapy; CI, confidence Interval; CNS, central nervous system; CrCl, creatinine clearance; DME, Designated Medical Event; DTG, dolutegravir; EBGM, Empirical Bayesian Geometric Mean; eGFR, estimated glomerular filtration rate; FAERS, Food and Drug Administration Adverse Event Reporting System; HBV, hepatitis B virus; HCV, hepatitis C virus; IME, Important Medical Event; INSTI, integrase strand transfer inhibitor; INTIs, integrase inhibitors; IQR, interquartile range; IRIS, immune reconstitution inflammatory syndrome; JCV, John Cunningham virus; MC4R, melanocortin 4 receptor; MedDRA, Medical Dictionary for Regulatory Activities; NTD, neural tube defects; PLWH people living with HIV; PML, progressive multifocal leukoencephalopathy; POMC, pro-opiomelanocortin; PRR, proportional reporting ratio; PS, primary suspected drug; PT, preferred term; PTB, preterm birth; ROR, reporting odds ratio; SGA, small for gestational age; SMQs, standard MedDRA analytical queries; SOC, system organ class; UNAIDS, Joint United Nations Programme on HIV/AIDS; WHO, World Health Organization; WLHIV, women living with HIV.
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Keywords: dolutegravir, FAERS, adverse events, pharmacovigilance, HIV
Citation: Su J, He L and Wang M (2025) Post-marketing safety concerns with dolutegravir: a pharmacovigilance study based on the FDA adverse event reporting system database. Front. Pharmacol. 16:1625601. doi: 10.3389/fphar.2025.1625601
Received: 09 May 2025; Accepted: 21 July 2025;
Published: 30 July 2025.
Edited by:
Hao Wu, Capital Medical University, ChinaReviewed by:
Rafael Rodrigues Dihl, Lutheran University of Brazil, BrazilJinfeng Liu, Zhongjiang People’s Hospital, China
Apisada Jiso, Chiang Mai University, Thailand
Copyright © 2025 Su, He and Wang. 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: Menglei Wang, Mjg2NTA0NjMxNUBxcS5jb20=
† These authors have contributed equally to this work and share first authorship