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ORIGINAL RESEARCH article

Front. Pharmacol., 22 January 2026

Sec. Cardiovascular and Smooth Muscle Pharmacology

Volume 16 - 2025 | https://doi.org/10.3389/fphar.2025.1736657

Differential musculoskeletal outcome reporting in patients receiving bempedoic acid or atorvastatin: a disproportionality analysis using the EudraVigilance database

  • 1Department of Medical Biotechnology and Translational Medicine, Postgraduate School of Clinical Pharmacology and Toxicology, University of Milano, Milano, Italy
  • 2Department of General Surgery, Surgical Specialty and Anesthesiology, Sapienza University of Rome, Rome, Italy
  • 3Unit of Andrology and Reproductive Medicine, Department of Medicine, University of Padova, Padova, Italy
  • 4Department of Medical and Cardiovascular Sciences, Sapienza University of Rome, Rome, Italy
  • 5IRCCS Neuromed, Località Camerelle, Pozzilli, Isernia, Italy
  • 6IRCCS Cardiologic Centre Monzino, Milan, Italy
  • 7Department of Medical Biotechnology and Translational Medicine, University of Milano, Milano, Italy
  • 8Department of Oncology and Hematology-Oncology, University of Milano, Milano, Italy

Background: Elevated low-density lipoprotein cholesterol (LDL-C) is a major risk factor for atherosclerotic cardiovascular disease. Statins are the first choice LDL-C-lowering drugs, but often associated with musculoskeletal disorders (MSDs), limiting adherence. Bempedoic acid (BA) is a newer LDL-C-lowering prodrug acting upstream of statins with limited muscle tissue activation, offering an alternative to statin-intolerant patients. However, recent evidence suggests a higher-than-expected rate of muscle-related adverse drug reactions (ADRs). This study compares muscle-related ADRs for BA and atorvastatin (ATO) using the European spontaneous reporting system.

Methods: ADRs reports were extracted from the earliest available date to 30 June 2024 and categorized by patient demographics and ADR type. Disproportionality analysis via Reporting Odds Ratios (RORs) was performed to assess differences in muscle-related ADRs between BA and ATO.

Results: A total of 78,930 ADR reports, respectively 2,667 for BA-only, 76,137 for ATO-only and 126 for coadministration, were analysed. MSDs were the most frequently reported events, significantly higher in BA-only than ATO-only recipients (ROR 2.25, 95% CI 2.08–2.43). Musculoskeletal and muscle discomfort showed the highest odds of association with BA (6.97, 95% CI 4.46–10.91 and 6.37, 95% CI 4.58–8.85, respectively). Conversely, more severe conditions such as creatine phosphokinase increase (ROR 0.44, 95% CI 0.34–0.57) and rhabdomyolysis (ROR 0.05, 95% CI 0.02–0.10) were more frequently reported for ATO-only recipients. Overall, muscle-related ADRs reported for BA showed lower severity.

Conclusion: Using a Registry-based approach, we found increased odds of muscle-related ADR reports in BA recipients compared to ATO, although characterized by more favourable clinical outcomes. It is suggested to pay increased attention to consider drug-related causes of muscle symptoms when BA is used, particularly when in combination with statins.

Introduction

Atherosclerotic cardiovascular disease (ASCVD), is a leading cause of mortality in Western Countries, accounting for approximately 18 million deaths per year worldwide, with more than four million of which in Europe alone (Guo et al., 2023). Several risk factors independently contribute to the onset of ASCVD, resulting in the increased probability of experiencing a cardiovascular event during the patient’s lifetime. Dyslipidemia and familial hypercholesterolaemia (FH) represents major risk factors for ACSVD since available epidemiological studies highlight the existence of log-linear relationship between plasma levels of low-density lipoprotein cholesterol (LDL-C) and ASCVD (Borén and Williams, 2016; Pećin et al., 2017; Ference et al., 2012; Holmes et al., 2015). Accordingly, LDL-C lowering strategies are pivotal for reducing ASCVD-related mortality (Silverman et al., 2016).

Statins are the first-choice drugs used in LDL-C lowering therapy. Statins’ pharmacodynamics (PD) rely on the competitive inhibition of hydroxymethyl-glutaryl-coenzyme A (HMG-CoA) reductase, associating with an average 30%–50% of LDL-C reduction, according to the different molecules, daily dosage and interindividual variability (Boekholdt et al., 2014). This translates to a 5-years average 22% reduction in major vascular events for each statin-associated 1 mmol/L LDL-C lowering (Baigent et al., 2010). Musculoskeletal disorders (MSD) are the most prevalent adverse drug reactions (ADR) associated with the use of statins, ranging from myalgia, with a reported prevalence of 10%–15%, with or without the increase of creatine kinase levels, to the rarest rhabdomyolysis, with a prevalence of 1-3 patients/100.000 per year (Bruckert et al., 2005; Davidson et al., 2006; Gupta et al., 2017). Statin-induced myopathy has been associated with decreased cell levels of ubiquinone, a component of the mitochondrial respiratory chain which is produced by the HMG-CoA pathway, resulting in impaired energy metabolism and cell death (Pallotti et al., 2021; Safitri et al., 2021). However, the impairment of protein prenylation, inhibition of complexes I and III of the electron transport chain, oxidative stress, downregulation of mitochondrial biogenesis, impairment of the insulin receptor/Akt/mTORC pathway and cytochrome c-related apoptosis pathways have also been involved in MSD onset (Bouitbir et al., 2020). Therapy discontinuation related to MSD, also known as “statins intolerance”, is a current clinical issue associated with their use. MSD are estimated to affect up to 27% of statin users, and up to 62% in those who discontinue the therapy (Cohen et al., 2012; Reith et al., 2022).

Other non-statin LDL-C lowering agents have been developed, among which bempedoic acid (BA) is one of the most recent, being approved for clinical use in the U.S. and in Europe in 2020. The PD of BA relies on the competitive inhibition of adenosine triphosphate–citrate lyase (ACL), an enzyme involved in cholesterol synthesis upstream of HMG-CoA reductase. The use of BA in mono-therapy is associated with an average LDL-C reduction by 18%–20% (Duarte Lau and Giugliano, 2023; Yasmin et al., 2024). Importantly, BA is a prodrug since it is activated by the hepatic enzyme very long-chain acyl-CoA synthetase-1 (ACSVL1), whose expression by skeletal muscle is reported as negligible (Zabielski et al., 2024). On this basis, the active form of BA is not detectable in skeletal muscle specimens and thus claimed as non-myotoxic (Ruscica et al., 2019). In addition, recent studies suggest BA as a possible agonist of monophosphate-activated protein kinase (AMPK), a master regulator of metabolism with different effects on energy homeostasis and sterol synthesis such as the inhibition of acetyl-CoA carboxylase (ACC) and HMG-CoA reductase (Clarke and Hardie, 1990; Foretz and Viollet, 2011; Pinkosky et al., 2016). BA is administered via the oral route and its current clinical indications are: i) in combination with a statin, or with a statin and other lipid-lowering therapies, in patients unable to achieve the target LDL-C levels with the maximally tolerated doses of either drugs ii) as monotherapy or in combination with other lipid-lowering therapies in patients intolerant to statins or when the use statin is contraindicated (Nissen et al., 2023).

Recent studies suggest a more complex scenario of BP-related ADRs, for which the occurrence of myalgia and gout appear as more frequent than that reported in available clinical trials (Laufs et al., 2019; De Filippo et al., 2023; Nissen et al., 2023; Bays et al., 2024). However, the frequency of Muscle-related ADR for BA in current clinical practice is under-investigated.

In this study, we aimed to evaluate the occurrence of ADRs reported for BA, particularly focusing on muscle-related ADRs, in comparison with those reported for the mainstay of statin drugs: atorvastatin (ATO). To this aim we adopted a Registry-based approach, using the European spontaneous reporting system to evaluate reported ADRs through disproportionality analysis.

Methods

Data source

This study was performed in agreement with the READUS-PV guidelines for disproportionality analysis (Fusaroli et al., 2024). The READUS-PV Checklist is available as Supplementary Table S1. The study was based on public registry data and did not involve collection of identifiable private information. Accordingly, the study required no approval by the local ethics committee (Postigo et al., 2018).

A retrospective analysis on suspected ADRs retrieved from the European Pharmacovigilance database (EudraVigilance), a database managed by the European Medicines Agency (EMA) for spontaneous reporting, was performed with publicly accessible data provided for transparency. Data reported for BA were compared with those of atorvastatin (ATO) as a reference cholesterol-lowering therapy. To this regard, available data show that ATO is the most prescribed statin drug worldwide and is burdened by an ADR-related risk of withdrawal not different from placebo-treated patients in short-term trials, similarly to available data for BA (Adams et al., 2015). In addition, no clear differential pattern of myotoxicity has been identified among available statins, allowing to consider ATO as a reliable reference drug in cholesterol lowering therapy (McAfee et al., 2006).

Data extraction was performed using the “line listing” function on the EMA’s online portal (www.adrreports.eu). Data searches were conducted for Individual Case Safety Reports (ICSRs). Inclusion criteria were any report, without time restrictions, associated with the following active pharmaceutical ingredients and “Suspect Drug”: bempedoic acid, including its combinations, and atorvastatin, including its combinations.

Data were retrieved within the period spanning from the earliest available reporting date, respectively 09 December 2002 for ATO-only and 22 May 2019 for BA-only, to 30 June 2024. Extracted variables included primary source qualification, primary source country, patient’s age and sex and details of reported ADRs.

Descriptive analysis

Each ICSRs was firstly characterized for patient age, sex, primary source qualification, primary source country for regulatory purposes, number of reported preferred term (PT) and systemic organic classification (SOC). Data were analysed both overall and upon stratification for either BA-only recipients, ATO-only recipients and recipients of both. In order to identify relevant areas of signal detection for ADRs, each reported PT was mapped to its corresponding SOC. Both PTs and SOCs were defined according to the Medical Dictionary for Regulatory Activities (MedDRA, version 27_0, Medical Dictionary for Regulatory Activities Terminology (MedDRA) | NCBO BioPortal), a standardized medical terminology system structured into five hierarchical levels, with SOC representing the broadest classification and PTs being the second-most specific level.

Since Musculoskeletal and Connective Tissue Disorders SOC includes PTs, such as arthralgia, which are not univocally related to muscle conditions, a refinement approach was adopted. In addition to considering the Musculoskeletal and Connective Tissue Disorders SOC, a predefined group of specific muscle-related PTs (MR-PTs) was selected, including: myalgia, blood creatine phosphokinase increased, rhabdomyolysis, muscle spasms, muscular weakness, myopathy, musculoskeletal stiffness, muscle disorder, muscle discomfort, musculoskeletal pain, musculoskeletal discomfort, myositis and necrotizing myositis.

Disproportionality analysis

All analyses were performed using R software (Version 4.2.3; R Development Core Team (LaZerte, 2021)). The Reporting Odds Ratio (ROR) and corresponding 95% confidence intervals (CIs) were calculated to assess the disproportionality of ADRs associated with BA and ATO, considering both SOCs and the predefined MR-PTs. ATO served as reference group. ROR was calculated by the ratio of reported rate of BA-associated ADRs with the rate of the same AD reported for ATO. Forest plots were used to visually represent RORs and their corresponding 95% CIs for both SOCs and selected PTs. Chi-squared test was used to assess differences in frequencies. Lastly, a subgroup analysis stratified by sex was conducted to assess potential sex-related differences in the reporting of ICSRs. P values < 0.05 were considered as significant.

Results

ICSRs characteristics

The flow chart of the data extraction process is summarized in Figure 1. Overall, 2,852 ICSRs were identified for BA and combined formulations, whilst 76,550 ICSRs were retrieved for ATO and combined formulations. Full details on retrieved combinations and time of extraction for each drug are available in Supplementary Table S2.

Figure 1
Flowchart detailing ICSR identification and inclusion of datasets for Bempedoic Acid (2,852 reports) and Atorvastatin (76,550 reports). Categories include BA (1,857), BA+Ezetimibe (995), and ATO with combinations like Ezetimibe and Amlodipine. Total BA and/or ATO is 79,402, excluding 472 duplicates. Final division: Only BA (2,667 reports), Both BA and ATO (126 reports), Only ATO (76,137 reports).

Figure 1. Flowchart of data extraction and dataset creation.

After removing duplicates, the final dataset comprised 78,930 reports whose details are reported in Table 1. In particular, 126 (0.16%) cases involved the co-administration of BA and ATO, 76,137 (96.5%) cases involved ATO or its combinations not including BA, and 2,667 (3.4%) cases involved BA or its combinations not including ATO. The majority of reports (64%) originated from healthcare professionals. Regarding geographical distribution, more than half (56%) of reports were from non-European Economic Area (EEA) Countries. However, focusing on BA cases, this trend was reversed since the vast majority of reports were from the EEA Countries (89%). Patient’s demographics showed that most cases involved adult patients in the age range 18–64 years (38%) and elderly patients in the age range 65–85 years (36%) patients, with a slight predominance of female sex across all groups.

Table 1
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Table 1. Individual Case Safety Reports (ICSRs) for Bempedoic Acid (BA) and Atorvastatin (ATO) reported in the EudraVigilance Spontaneous Reporting System from Initial Data Availability to 30 June 2024.

When ICSRs were stratified by SOC, musculoskeletal and connective tissue disorders SOC was the most frequently reported across all groups, accounting for 29% of all reports. Notably, this SOC was highly represented in both BA and ATO recipients (87% of reports) and in BA-only recipients (47% of reports) compared to ATO-only recipients (28%). Other commonly reported SOCs were investigations (20%), which includes various radiologic and laboratory tests, nervous system disorders (19%), metabolism and nutritional disorders (18%), gastrointestinal disorders (11%) and general disorders (16%).

Results of ROR analysis, comparing SOCs in BA-only cases and in ATO-only cases, are reported in Figure 2. Musculoskeletal and connective tissue disorders were significantly more reported in BA-only recipients compared to ATO-only recipients (ROR 2.25, 95% CI 2.08–2.43, p < 0.001). Similarly, BA-only recipients were more frequently reported for gastrointestinal disorders (ROR 2.60, 95% CI 2.37–2.86, p < 0.001), general disorders (ROR 1.37, 95% CI 1.25–1.51, p < 0.001) and skin and subcutaneous tissue disorders (ROR 1.19, 95% CI 1.06–1.34, p = 0.004). On the other hand, with the exception of nervous system disorders, investigations and social circumstances, most of the remaining SOCs had RORs and respective 95% CIs were suggestive of a disproportion of ADRs signals for ATO-only recipients, including metabolism and nutrition disorders (ROR 0.16, 95% CI 0.13–0.19, p < 0.001) and hepatobiliary disorders (ROR 0.11, 95% CI 0.07–0.15, p < 0.001).

Figure 2
Forest plot comparing the reporting odds ratio (ROR) of adverse events for Bempedoic Acid versus Atorvastatin across various system organ classes (SOC). The x-axis represents ROR on a logarithmic scale, with higher values indicating worse outcomes for Bempedoic Acid. The ROR and 95% confidence intervals are listed for conditions such as gastrointestinal disorders, musculoskeletal disorders, and more. The plot shows gastrointestinal disorders as having the highest ROR at 2.60, indicating worse outcomes for Bempedoic Acid. The vertical line at 1.0 separates ATO worse from BA worse outcomes.

Figure 2. The Reporting Odds Ratio (ROR) analysis for systemic organic classification (SOC) of adverse drug reactions reported for bempedoic acid (BA) compared to atorvastatin (ATO).

Muscle-related adverse events

The analysis of frequency, severity and reported outcome of predefined MR-PTs across the study groups are reported in Table 2. With a total of 11,332 reports (14%), myalgia was the overall most reported MR-PT, where BA-only recipients showed both the highest absolute prevalence, being reported in 24% of cases, and the highest prevalence of recovered/resolved cases compared to ATO-only recipients (64% versus 44%). Of note, cases of myalgia were reported in 68% of patients receiving both BA and ATO, with a prevalence of recovering/resolving of 77%. Cases of increased blood creatine phosphokinase levels, accounting for 5% of reports and showing no significant differential prevalence between ATO-only and BA-only recipients (5.0% and 2.3%, respectively), had a higher proportion of more severe cases, namely unresolved, resolved with sequelae or fatal, in ATO-only recipients (13.2% vs. 8.2% BA-only). Rhabdomyolysis showed the right-after reporting occurrence of 4.9%, where the highest reported fatality rate occurred in ATO-only (4.4%) compared to BA-only recipients (0.3%). Muscle spasms, muscular weakness, and myopathy were reported with lower frequencies of 3.1%, 2.6%, and 1.6%, respectively. The reported seriousness of these events was more pronounced in the ATO-only group with higher percentages of unresolved, resolved with sequelae and fatal cases. Other muscle-related PTs were relatively rare, each occurring in less than 1% of cases. However, muscle spasms were reported in 11% of patients receiving both BA and ATO, although with a high rate of recovering/resolution (79%).

Table 2
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Table 2. Severity of the adverse events-prespecified preferred term (PTs) in bempedoic acid (BA) or atorvastatin (ATO) recipients from the EudraVigilance retrieved cases.

The ROR analysis for MR-PTs associated with BA-only compared to ATO-only recipients is reported in Figure 3. Reporting of musculoskeletal discomfort (ROR 6.97, 95% CI 4.46–10.91, p < 0.001) and muscle discomfort (ROR 6.37, 95% CI 4.58–8.85, p < 0.001) had the highest association with BA administration. Myalgia (ROR 1.91, 95% CI 1.75–2.10, p < 0.001) and muscle spasms (ROR 1.85, 95% CI 1.56–2.20, p < 0.001) also showed elevated reporting for BA-only recipients. In contrast, reporting of blood creatine phosphokinase increase (ROR 0.44, 95% CI 0.34–0.57, p < 0.001), and rhabdomyolysis (ROR 0.05, 95% CI 0.02–0.10, p < 0.001) were more frequently associated with ATO-only recipients.

Figure 3
ROR for Bempedoic Acid versus Atorvastatin at PT level is depicted in a forest plot with ROR values and 95% confidence intervals for various musculoskeletal conditions. Conditions are listed on the left, with corresponding ROR values, confidence intervals, and squares representing data points on the right. The x-axis uses a log scale for ROR values ranging from 0.031 to 8. Conditions with higher ROR suggest worse outcomes associated with Bempedoic Acid, while lower indicate better outcomes compared to Atorvastatin. Conditions include musculoskeletal discomfort, muscle spasms, and rhabdomyolysis.

Figure 3. The Reporting Odds Ratio (ROR) analysis for muscle-related preferred terms (MR-PT) of adverse drug reactions reported for bempedoic acid (BA) compared to atorvastatin (ATO).

Subgroup analysis

After excluding ICSRs with unspecified sex, a total of 72,820 reports were stratified by sex. Descriptive characteristics of ICSRs for male and female patients are presented in Supplementary Table S3. The RORs for each SOC are provided in Supplementary Table S4. Overall, the trends were similar between sexes. In particular, for the Musculoskeletal and connective tissue disorders SOC, females exhibited a slightly higher ROR compared to males (ROR 2.28, 95% CI: 2.05–2.54 vs. ROR 1.98, 95% CI: 1.76–2.22, respectively).

Data on the seriousness of MR-PTs are shown in Supplementary Table S5, with no clinically meaningful differences emerging between sexes. Consistently, RORs and their 95% confidence intervals, depicted in Supplementary Figure S1, show similar trends for both males and females.

Discussion

In this study, we compared ADR reports between Bempedoic Acid and Atorvastatin, a widely used statin class representative. We provide evidence that the use of BA associates with a more than doubled occurrence of reports depicting musculoskeletal or gastrointestinal disorder compared to ATO. In addition, BA showed an increased occurrence of reports related to general disorders, administration site conditions and nervous system disorders, compared to ATO. However, BA reports were characterized by lower severity and more favourable clinical outcomes, in terms of both lower rate of fatality and higher rate of resolution or recovery.

BA is a recent cholesterol lowering drug currently indicated, in monotherapy or in combination, in patients unable to achieve LDL-C target levels or in patients with intolerance/contraindication for the use statins because of its low myo-toxic potential (De Filippo et al., 2023; Duarte Lau and Giugliano, 2023). Indeed, in line with its mechanism of action, available meta-analyses of randomized clinical trials strongly support a low risk of musculoskeletal disorders associated with BA or even lower than that observed in placebo-treated patients (Goyal et al., 2024; Sayed et al., 2024). Furthermore, the reported therapy discontinuation for muscle-related ADRs was rare in BA recipients (Ballantyne et al., 2016; Thompson et al., 2016; Ray et al., 2019). However, recent evidence suggest that the use of BA is not devoid of the risk of myopathy. In fact, by the use of the Food and Drug Administration-ADR repository reporting system, Li et al. showed that musculoskeletal and connective tissue disorders are the most reported issues in BA recipients, with a ROR of 6.08 (CI 5.13–7.18), followed by nervous system disorders and hepatobiliary disorders (Li et al., 2024). Notably, the reported outcome severity, such as disability, hospitalization and life-threatening events, showed a prevalence of 10.47%, 8.90% and 1.57%, respectively, with a generally worse prognosis than that observed in our results, despite a fairly comparable demographic composition. Importantly, data from Li et al. were based on a lower number of reports compared to those available from our investigation, respectively 735 vs. 2667 BA-only recipients, which may imply a disproportionate representation of more serious ADRs in the two databases (Li et al., 2024). In addition, reporting sources from Li et al. were evenly distributed among Unites States, Germany and United Kingdom, whilst our dataset derived mostly from the EU area.

In order to provide a representative term of comparison for ADRs, we used ATO as a reference mainstay of cholesterol-lowering therapy. Indeed, ATO is the most prescribed statin drug worldwide, highly effective in patients with non-familiar hypercholesterolemia and whose risk of withdrawals associated with ADRs did not differ from placebo-treated patients in short-term trials (Adams et al., 2015). Overall, we found that muscle-related adverse events were more frequently reported in BA-only recipients but with a milder pattern of symptoms severity and clinical outcome. Differently, reported ADRs in ATO-only recipients showed a more severe pattern, being more frequently associated with rhabdomyolysis, increased CPK levels and a non-zero prevalence of fatal cases. This evidence opens up to various interpretative hypotheses. As previously reported for statins, long term HMGR inhibition associates with reduced levels of CoQ10, leading to mitochondrial dysfunction and muscle cell death (Bouitbir et al., 2020; Zeng et al., 2025). On the other hand, AMPK/ACC and AMPK/HMGR pathways modulation by BA is likely dependent on the proportion of free BA which is not converted in the active form bempedoyl-CoA (Clarke and Hardie, 1990; Foretz and Viollet, 2011; Pinkosky et al., 2016). Since a limited fraction of the drug remains unconverted, this likely associates with a less severe myotoxic effect than the one exerted by statins. In line with this hypothesis, we showed that the prevalence of MR-PTs reporting in patients receiving both BA and ATO was of 68%, underlining a possible cumulative effect on muscle outcomes based on the shared branches of AMPK-mediated pathways.

Alternatively, it might be hypothesized that BA-reporting suffered of the “alert-bias”, namely a higher propensity to report an adverse event associated with its use (Moore et al., 2003; Pariente et al., 2007). According to available clinical trials, a favourable myotoxicity profile has been clearly suggested for BA and, being anticipated as a safer alternative to statins, this may have led to an over-attention and reporting of ADRs for this new marketed drug. This phenomenon is not uncommon for newly marketed drugs, for which this heightened vigilance trend tends to decline over time (Moore et al., 2003). Moreover, randomized clinical trials, whilst representing the reference investigation addressing drug efficacy, only describe limited scenario of the possible ADRs a drug may generate in settings of clinical practice, given the limited sample size and stringent inclusion criteria. In this frame, deriving from pharmacovigilance data, findings here presented are suggested to have clinical relevance, deserving to consider drug-related causes of muscle symptoms, particularly even when BA is used in combination with statins. However, it is important to interpret these results with caution, deserving further investigation through more targeted tolerability studies.

We acknowledge some limitations to our findings. First, reporting bias, as previously mentioned, is a matter of concern. In addition, we recognize the limit of the selection of ATO as the sole comparator. However, adding additional comparators would have increased the already existing reporting disproportion between the two drug classes, leading to a possible underestimation of BA reporting. In addition, data sourced exclusively from the EudraVigilance database, providing limited access to clinical data to be used as confounding factors, restricting the generalizability of the findings. This is the case of dose stages of ATO and BA, which are considered as optional data and are rarely reported, and the patient’s age which generally reported as prevalence of a categorical variable <1 month, 12–17 years and >18 years. These represent additional limits to our findings. However, with respect to the more strictly geographical aspect, it should be noted that nearly 56% of reports were from no-EU area, providing some wide representativeness of our findings. In addition, we provided subgroup analysis by sex, showing no significant clustering of ADRs.

Finally, inherent limitations of disproportionality analysis must be taken into account, including the lack of critical information such as treatment duration, comorbidities and dosage, which prevents a comprehensive assessment of the long-term safety profile of the medications and the impossibility to establish causal relationships between drug exposure and ADRs. Further studies are warranted to assess how future pharmacovigilance signals trends will influence the reporting of ADRs related to BA and to investigate additional comparators.

In conclusion by the use of a Registry-based study, we showed an increased reporting of musculoskeletal-related ADR in BA recipients compared to ATO, although characterized by a lower severity outcome. Further studies are required to address the biological and clinical basis of this evidence.

Data availability statement

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

Author contributions

GG: Investigation, Formal Analysis, Writing – original draft. AR: Investigation, Writing – original draft. CG: Investigation, Writing – original draft. EG: Investigation, Writing – original draft. FV: Writing – original draft, Investigation. LD: Writing – original draft, Investigation. MF: Writing – review and editing, Investigation. MG: Investigation, Writing – original draft. SD: Investigation, Writing – original draft. DM: Writing – review and editing, Project administration, Methodology. DP: Project administration, Methodology, Writing – review and editing. MS: Writing – review and editing, Methodology, Project administration. DF: Writing – review and editing, Project administration, Methodology. SG: Investigation, Writing – original draft. AP: Project administration, Writing – review and editing, Methodology.

Funding

The author(s) declared that financial support was received for this work and/or its publication. Open Access funding provided by Universitá degli Studi di Padova | University of Padua, Open Science Committee.

Acknowledgements

The authors are grateful to the student body of the Postgraduate School of Clinical Pharmacology and Toxicology, University of Milano, Milano, Italy, for the helpful discussion in the manuscript preparation.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

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Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphar.2025.1736657/full#supplementary-material

SUPPLEMENTARY FIGURE S1 | Forest plots showing the Reporting Odds Ratios (RORs) and corresponding 95% Confidence Intervals (CIs) for prespecified muscle-related Preferred Terms (PT) associated with bempedoic acid compared to atorvastatin, stratified by sex: males (A) and females (B).

References

Adams, S. P., Tsang, M., and Wright, J. M. (2015). Atorvastatin for lowering lipids. Cochrane Database Syst. Rev. 2015, CD008226. doi:10.1002/14651858.CD008226.pub3

PubMed Abstract | CrossRef Full Text | Google Scholar

Baigent, C., Blackwell, L., Emberson, J., Holland, L. E., Reith, C., Bhala, N., et al. (2010). Efficacy and safety of more intensive lowering of LDL cholesterol: a meta-analysis of data from 170 000 participants in 26 randomised trials. Lancet 376, 1670–1681. doi:10.1016/S0140-6736(10)61350-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Ballantyne, C. M., McKenney, J. M., MacDougall, D. E., Margulies, J. R., Robinson, P. L., Hanselman, J. C., et al. (2016). Effect of ETC-1002 on serum low-density lipoprotein cholesterol in hypercholesterolemic patients receiving Statin therapy. Am. J. Cardiol. 117, 1928–1933. doi:10.1016/j.amjcard.2016.03.043

PubMed Abstract | CrossRef Full Text | Google Scholar

Bays, H. E., Bloedon, L. T., Lin, G., Powell, H. A., Louie, M. J., Nicholls, S. J., et al. (2024). Safety of bempedoic acid in patients at high cardiovascular risk and with statin intolerance. J. Clin. Lipidol. 18, e59–e69. doi:10.1016/j.jacl.2023.10.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Boekholdt, S. M., Hovingh, G. K., Mora, S., Arsenault, B. J., Amarenco, P., Pedersen, T. R., et al. (2014). Very low levels of atherogenic lipoproteins and the risk for cardiovascular events. J. Am. Coll. Cardiol. 64, 485–494. doi:10.1016/j.jacc.2014.02.615

PubMed Abstract | CrossRef Full Text | Google Scholar

Borén, J., and Williams, K. J. (2016). The central role of arterial retention of cholesterol-rich apolipoprotein-B-containing lipoproteins in the pathogenesis of atherosclerosis: a triumph of simplicity. Curr. Opin. Lipidol. 27, 473–483. doi:10.1097/MOL.0000000000000330

PubMed Abstract | CrossRef Full Text | Google Scholar

Bouitbir, J., Sanvee, G. M., Panajatovic, M. V., Singh, F., and Krähenbühl, S. (2020). Mechanisms of statin-associated skeletal muscle-associated symptoms. Pharmacol. Res. 154, 104201. doi:10.1016/j.phrs.2019.03.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Bruckert, E., Hayem, G., Dejager, S., Yau, C., and Bégaud, B. (2005). Mild to moderate muscular symptoms with high-dosage Statin therapy in hyperlipidemic patients —the PRIMO study. Cardiovasc Drugs Ther. 19, 403–414. doi:10.1007/s10557-005-5686-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Clarke, P. R., and Hardie, D. G. (1990). Regulation of HMG-CoA reductase: identification of the site phosphorylated by the AMP-activated protein kinase in vitro and in intact rat liver. EMBO J. 9, 2439–2446. doi:10.1002/j.1460-2075.1990.tb07420.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Cohen, J. D., Brinton, E. A., Ito, M. K., and Jacobson, T. A. (2012). Understanding statin use in America and gaps in patient education (USAGE): an internet-based survey of 10,138 current and former statin users. J. Clin. Lipidol. 6, 208–215. doi:10.1016/j.jacl.2012.03.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Davidson, M. H., Clark, J. A., Glass, L. M., and Kanumalla, A. (2006). Statin safety: an appraisal from the adverse event reporting system. Am. J. Cardiol. 97, S32–S43. doi:10.1016/j.amjcard.2005.12.008

PubMed Abstract | CrossRef Full Text | Google Scholar

De Filippo, O., D’Ascenzo, F., Iannaccone, M., Bertaina, M., Leone, A., Borzillo, I., et al. (2023). Safety and efficacy of bempedoic acid: a systematic review and meta-analysis of randomised controlled trials. Cardiovasc Diabetol. 22, 324. doi:10.1186/s12933-023-02022-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Duarte Lau, F., and Giugliano, R. P. (2023). Adenosine triphosphate citrate lyase and fatty acid synthesis inhibition. JAMA Cardiol. 8, 879–887. doi:10.1001/jamacardio.2023.2402

PubMed Abstract | CrossRef Full Text | Google Scholar

Ference, B. A., Yoo, W., Alesh, I., Mahajan, N., Mirowska, K. K., Mewada, A., et al. (2012). Effect of long-term exposure to lower low-density lipoprotein cholesterol beginning early in life on the risk of coronary heart disease. J. Am. Coll. Cardiol. 60, 2631–2639. doi:10.1016/j.jacc.2012.09.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Foretz, M., and Viollet, B. (2011). Regulation of hepatic metabolism by AMPK. J. Hepatol. 54, 827–829. doi:10.1016/j.jhep.2010.09.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Fusaroli, M., Salvo, F., Begaud, B., AlShammari, T. M., Bate, A., Battini, V., et al. (2024). The reporting of a disproportionality analysis for drug safety signal detection using individual case safety reports in PharmacoVigilance (READUS-PV): development and statement. Drug Saf. 47, 575–584. doi:10.1007/s40264-024-01421-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Goyal, A., Changez, M. I. K., Tariq, M. D., Mushtaq, F., Shamim, U., Sohail, A. H., et al. (2024). Efficacy and outcomes of bempedoic acid versus placebo in patients with statin-intolerance: a pilot systematic review and meta-analysis of randomized controlled trials. Curr. Probl. Cardiol. 49, 102236. doi:10.1016/j.cpcardiol.2023.102236

PubMed Abstract | CrossRef Full Text | Google Scholar

Guo, S., Li, X., Duan, R., Tian, S., and Hai, X. (2023). Analysis of tigecycline in the cerebrospinal fluid and serum of patients with Acinetobacter baumannii central nervous system infection. Bioanalysis 15, 1147–1156. doi:10.4155/bio-2023-0125

PubMed Abstract | CrossRef Full Text | Google Scholar

Gupta, A., Thompson, D., Whitehouse, A., Collier, T., Dahlof, B., Poulter, N., et al. (2017). Adverse events associated with unblinded, but not with blinded, statin therapy in the anglo-scandinavian cardiac outcomes Trial—lipid-lowering arm (ASCOT-LLA): a randomised double-blind placebo-controlled trial and its non-randomised non-blind extension phase. Lancet 389, 2473–2481. doi:10.1016/S0140-6736(17)31075-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Holmes, M. V., Asselbergs, F. W., Palmer, T. M., Drenos, F., Lanktree, M. B., Nelson, C. P., et al. (2015). Mendelian randomization of blood lipids for coronary heart disease. Eur. Heart J. 36, 539–550. doi:10.1093/eurheartj/eht571

PubMed Abstract | CrossRef Full Text | Google Scholar

Laufs, U., Banach, M., Mancini, G. B. J., Gaudet, D., Bloedon, L. T., Sterling, L. R., et al. (2019). Efficacy and safety of bempedoic acid in patients with hypercholesterolemia and statin intolerance. J. Am. Heart Assoc. 8, e011662. doi:10.1161/JAHA.118.011662

PubMed Abstract | CrossRef Full Text | Google Scholar

LaZerte, S. (2021). How to cite R and R packages. doi:10.59350/t79xt-tf203

CrossRef Full Text | Google Scholar

Li, B., Zhang, J., Huang, A., Chen, Y., and Wei, Q. (2024). Safety evaluation of bempedoic acid: a pharmacovigilance analysis using FDA adverse event reporting system data. Int. J. Cardiol. 412, 132305. doi:10.1016/j.ijcard.2024.132305

PubMed Abstract | CrossRef Full Text | Google Scholar

McAfee, A. T., Ming, E. E., Seeger, J. D., Quinn, S. G., Ng, E. W., Danielson, J. D., et al. (2006). The comparative safety of rosuvastatin: a retrospective matched cohort study in over 48 000 initiators of statin therapy. Pharmacoepidemiol Drug Saf. 15, 444–453. doi:10.1002/pds.1281

PubMed Abstract | CrossRef Full Text | Google Scholar

Moore, N., Hall, G., Sturkenboom, M., Mann, R., Lagnaoui, R., and Begaud, B. (2003). Biases affecting the proportional reporting ratio (PRR) in spontaneous reports pharmacovigilance databases: the example of sertindole. Pharmacoepidemiol Drug Saf. 12, 271–281. doi:10.1002/pds.848

PubMed Abstract | CrossRef Full Text | Google Scholar

Nissen, S. E., Lincoff, A. M., Brennan, D., Ray, K. K., Mason, D., Kastelein, J. J. P., et al. (2023). Bempedoic acid and cardiovascular outcomes in statin-intolerant patients. New England J. Med. 388, 1353–1364. doi:10.1056/NEJMoa2215024

PubMed Abstract | CrossRef Full Text | Google Scholar

Pallotti, F., Bergamini, C., Lamperti, C., and Fato, R. (2021). The roles of coenzyme Q in disease: direct and indirect involvement in cellular functions. Int. J. Mol. Sci. 23, 128. doi:10.3390/ijms23010128

PubMed Abstract | CrossRef Full Text | Google Scholar

Pariente, A., Gregoire, F., Fourrier-Reglat, A., Haramburu, F., and Moore, N. (2007). Impact of safety alerts on measures of disproportionality in spontaneous reporting databases. Drug Saf. 30, 891–898. doi:10.2165/00002018-200730100-00007

PubMed Abstract | CrossRef Full Text | Google Scholar

Pećin, I., Hartgers, M. L., Hovingh, G. K., Dent, R., and Reiner, Ž. (2017). Prevention of cardiovascular disease in patients with familial hypercholesterolaemia: the role of PCSK9 inhibitors. Eur. J. Prev. Cardiol. 24, 1383–1401. doi:10.1177/2047487317717346

PubMed Abstract | CrossRef Full Text | Google Scholar

Pinkosky, S. L., Newton, R. S., Day, E. A., Ford, R. J., Lhotak, S., Austin, R. C., et al. (2016). Liver-specific ATP-citrate lyase inhibition by bempedoic acid decreases LDL-C and attenuates atherosclerosis. Nat. Commun. 7, 13457. doi:10.1038/ncomms13457

PubMed Abstract | CrossRef Full Text | Google Scholar

Postigo, R., Brosch, S., Slattery, J., van Haren, A., Dogné, J.-M., Kurz, X., et al. (2018). EudraVigilance medicines safety database: publicly accessible data for research and public health protection. Drug Saf. 41, 665–675. doi:10.1007/s40264-018-0647-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Ray, K. K., Bays, H. E., Catapano, A. L., Lalwani, N. D., Bloedon, L. T., Sterling, L. R., et al. (2019). Safety and efficacy of bempedoic acid to reduce LDL cholesterol. New England J. Med. 380, 1022–1032. doi:10.1056/NEJMoa1803917

PubMed Abstract | CrossRef Full Text | Google Scholar

Reith, C., Baigent, C., Blackwell, L., Emberson, J., Spata, E., Davies, K., et al. (2022). Effect of statin therapy on muscle symptoms: an individual participant data meta-analysis of large-scale, randomised, double-blind trials. Lancet 400, 832–845. doi:10.1016/S0140-6736(22)01545-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Ruscica, M., Banach, M., Sahebkar, A., Corsini, A., and Sirtori, C. R. (2019). ETC-1002 (bempedoic acid) for the management of hyperlipidemia: from preclinical studies to phase 3 trials. Expert Opin. Pharmacother. 20, 791–803. doi:10.1080/14656566.2019.1583209

PubMed Abstract | CrossRef Full Text | Google Scholar

Safitri, N., Alaina, M. F., Pitaloka, D. A. E., and Abdulah, R. (2021). A narrative review of statin-induced rhabdomyolysis: molecular mechanism, risk factors, and management. Drug Healthc. Patient Saf. 13, 211–219. doi:10.2147/DHPS.S333738

PubMed Abstract | CrossRef Full Text | Google Scholar

Sayed, A., Shazly, O., Slipczuk, L., Krittanawong, C., Baloch, F., and Virani, S. S. (2024). The clinical efficacy and safety of bempedoic acid in patients at elevated risk of cardiovascular disease: a meta-analysis of randomized clinical trials. Cardiovasc Drugs Ther. 38, 1415–1420. doi:10.1007/s10557-023-07474-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Silverman, M. G., Ference, B. A., Im, K., Wiviott, S. D., Giugliano, R. P., Grundy, S. M., et al. (2016). Association between lowering LDL-C and cardiovascular risk reduction among different therapeutic interventions. JAMA 316, 1289–1297. doi:10.1001/jama.2016.13985

PubMed Abstract | CrossRef Full Text | Google Scholar

Thompson, P. D., MacDougall, D. E., Newton, R. S., Margulies, J. R., Hanselman, J. C., Orloff, D. G., et al. (2016). Treatment with ETC-1002 alone and in combination with ezetimibe lowers LDL cholesterol in hypercholesterolemic patients with or without statin intolerance. J. Clin. Lipidol. 10, 556–567. doi:10.1016/j.jacl.2015.12.025

PubMed Abstract | CrossRef Full Text | Google Scholar

Yasmin, F., Najeeb, H., Moeed, A., Ali, E., Umar, M., Ullah, I., et al. (2024). Efficacy and safety of bempedoic acid for prevention of adverse cardiovascular events and diabetes mellitus: a systematic review and meta-analysis of randomized controlled trials. Am. J. Ther. 31, e566–e572. doi:10.1097/MJT.0000000000001715

PubMed Abstract | CrossRef Full Text | Google Scholar

Zabielski, P., Imierska, M., Roszczyc-Owsiejczuk, K., Kuźmicki, M., Rogalski, P., Daniluk, J., et al. (2024). The role of Acyl-CoA synthetase 1 in bioactive lipid accumulation and the development of hepatic insulin resistance. Nutrients 16, 1003. doi:10.3390/nu16071003

PubMed Abstract | CrossRef Full Text | Google Scholar

Zeng, W., Deng, H., Luo, Y., Zhong, S., Huang, M., and Tomlinson, B. (2025). Advances in statin adverse reactions and the potential mechanisms: a systematic review. J. Adv. Res. 76, 781–797. doi:10.1016/j.jare.2024.12.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: adverse drug reactions, atorvastatin, bempedoic acid, cardiovascular, drug safety, pharmacovigilance, statins

Citation: Gazzaniga G, Romio A, Galuppi C, Gentile E, Valentino F, De Toni L, Foschiatti M, Gringeri M, D’Onghia S, Menichelli D, Pastori D, Scatigna M, Fornasari DMM, Grosdani S and Pani A (2026) Differential musculoskeletal outcome reporting in patients receiving bempedoic acid or atorvastatin: a disproportionality analysis using the EudraVigilance database. Front. Pharmacol. 16:1736657. doi: 10.3389/fphar.2025.1736657

Received: 31 October 2025; Accepted: 31 December 2025;
Published: 22 January 2026.

Edited by:

Jinfeng Xu, City University of Hong Kong, Hong Kong SAR, China

Reviewed by:

Weiwei Zeng, Shenzhen Longgang Second People’s Hospital, China
Zhan Zhang, Shengjing Hospital of China Medical University, China

Copyright © 2026 Gazzaniga, Romio, Galuppi, Gentile, Valentino, De Toni, Foschiatti, Gringeri, D’Onghia, Menichelli, Pastori, Scatigna, Fornasari, Grosdani and Pani. 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: Luca De Toni, bHVjYS5kZXRvbmlAdW5pcGQuaXQ=

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