Rhabdomyolysis associated with single-dose intravenous esomeprazole administration: A case report

A pharmacovigilance study of association between proton-pump inhibitors and rhabdomyolysis event based on FAERS database

BACKGROUND AND AIM

The association between proton-pump inhibitors (PPIs) and rhabdomyolysis were unclear. The aim of this study was to explore and systematically analyze the potential link between five PPIs and the rhabdomyolysis events using the FDA Adverse Event Reporting System (FAERS) database.

METHODS

Suspected rhabdomyolysis events associated with PPIs were identified by data mining with the reporting odds ratio (ROR), proportional reporting ratio (PRR), the information component (IC), and Empirical Bayes Geometric Mean (EBGM). Demographic information, drug administration, and outcomes of PPI-induced rhabdomyolysis events were also analyzed.

RESULTS

There were 3311 reports associated with PPI-induced rhabdomyolysis that were identified. After removing duplicates, 1899 cases were determined to contain complete patient demographic data. The average age was 65 ± 18 year and 57% were male. Omeprazole and pantoprazole had the same largest percentage of reports. Lansoprazole had the highest ROR index of 12.67, followed by esomeprazole (11.18), omeprazole (10.27), rabeprazole (10.06), and pantoprazole (9.24). PRR, IC, and EBGM showed similar patterns. This suggested that lansoprazole exhibited the strongest correlation with rhabdomyolysis. In rhabdomyolysis events, PPIs were mainly "concomitant" (>60%), and only a few cases were "primary suspects" (<15%). Rabeprazole showed the lowest death rate while lansoprazole showed the highest.

CONCLUSIONS

The study suggested that significant rhabdomyolysis signals were associated with PPIs. Further research should be performed in drug safety evaluation for a more comprehensive association.

Association between proton pump inhibitors and rhabdomyolysis risk: a post-marketing surveillance using FDA adverse event reporting system (FAERS) database

Background

This research aims to explore and compare the signals of rhabdomyolysis from the use of Proton pump inhibitors (PPIs) using the United States Food and Drug Administration Adverse Event Reporting System (FAERS) database.

Methods

Rhabdomyolysis and related terms submitted between 2013 and 2021 were retrieved from the FAERS database. The data were analyzed using the reporting odds ratio (ROR), proportional reporting ratio (PRR), Empirical Bayes Geometric Mean (EBGM) and the information component (IC). The signals of rhabdomyolysis associated with PPIs use were detected in both 3-Hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase inhibitors (statins) utilizers and non-utilizers.

Results

A total of 7,963,090 reports were retrieved and analyzed. Fifty-seven reports linked PPIs to rhabdomyolysis out of 3670 reports from other drugs (non-statin included). The association of rhabdomyolysis and PPIs was significant in both statins included, and non-statin-included reports, although with varying degrees of association. The ROR was 2.5 (95% confidence interval [CI] 1.9-3.2) for PPIs in non-statin-included reports and 2 (95% CI: 1.5-2.6) for PPIs in statin-included reports.

Conclusion

Significant signals of rhabdomyolysis were associated with PPIs. However, its signals were higher in non-statin-included reports compared to statin-included reports.

Plain Language Summary

Plain language summaryProton Pump Inhibitors and rhabdomyolysis risk Background: The FDA created the FDA Adverse Event Reporting System (FAERS) database to support post-marketing surveillance programs. The FAERS is a computerized database with more than nine million adverse event reports, including all reports from 1969 to the present. This research aims to explore and compare the signals of rhabdomyolysis from the use of proton pump inhibitors (PPIs) using the United States Food and Drug Administration Adverse Event Reporting System (FAERS) database.Research design and methods: We retrieved rhabdomyolysis and related terms submitted between 2013 and 2021 from the FAERS database. Then, we analyzed the data that we found. We detected the signals of rhabdomyolysis associated with PPIs use in both statins utilizers and non-utilizers.Results: We retrieved and analyzed a total of 7,963,090 reports. We found 57 reports linked PPIs to rhabdomyolysis out of 3670 reports from other drugs (non-statin included). The association of rhabdomyolysis and PPIs was significant in both statins included, and non-statin-included reports, although with varying degrees of association.Conclusion: Significant signals of rhabdomyolysis were associated with PPIs. However, its signals were higher in non-statin-included reports than in statin-included reports.

Translational High-Dimensional Drug Interaction Discovery and Validation Using Health Record Databases and Pharmacokinetics Models

Polypharmacy increases the risk of drug-drug interactions (DDIs). Combining epidemiological studies with pharmacokinetic modeling, we detected and evaluated high-dimensional DDIs among 30 frequent drugs. Multidrug combinations that increased the risk of myopathy were identified in the US Food and Drug Administration Adverse Event Reporting System (FAERS) and electronic medical record (EMR) databases by a mixture drug-count response model. CYP450 inhibition was estimated among the 30 drugs in the presence of 1 to 4 inhibitors using in vitro / in vivo extrapolation. Twenty-eight three-way and 43 four-way DDIs had significant myopathy risk in both databases and predicted increases in the area under the concentration-time curve ratio (AUCR) >2-fold. The high-dimensional DDI of omeprazole, fluconazole, and clonidine was associated with a 6.41-fold (FAERS) and 18.46-fold (EMR) increased risk of myopathy local false discovery rate (<0.005); the AUCR of omeprazole in this combination was 9.35. The combination of health record informatics and pharmacokinetic modeling is a powerful translational approach to detect high-dimensional DDIs.

The clinical significance of technetium-99m methylene diphosphonate bone scintigraphy findings in patients with rhabdomyolysis

OBJECTIVE

This study evaluated the relationship between bone scintigraphy finding and clinical factors and assessed the prognostic value of bone scintigraphy finding in patients with rhabdomyolysis.

PATIENTS AND METHODS

We retrospectively enrolled 143 patients with rhabdomyolysis who had undergone bone scintigraphy. Bone scintigraphy was classified into three groups: no or equivocal soft tissue uptake, a localized uptake, and a diffuse uptake. The relationship of bone scintigraphy findings with clinical factors was evaluated. Multiple logistic regression analysis was performed to identify the risk factors for acute renal failure (ARF) and renal replacement therapy (RRT).

RESULTS

Of 143 patients, 52 (36.4%) experienced ARF and 12 (8.4%) required RRT. Among cases caused by exercise, 83.7% showed localized soft tissue uptake. Diffuse soft tissue uptake was only shown among the patients with rhabdomyolysis caused by drug and toxin. Patients with localized or diffuse soft tissue uptake had higher levels of serum creatine kinase, myoglobin, aspartate aminotransferase, alanine aminotransferase, and lactate dehydrogenase compared with patients with no or equivocal uptake (P<0.05). Multiple logistic regression analysis showed that age, female sex, and serum phosphate level were associated with a risk for ARF and only serum creatinine level was associated with a risk for RRT (P<0.05). Bone scintigraphy findings failed to show significance for predicting ARF and RRT (P>0.05).

CONCLUSION

Soft tissue uptake on bone scintigraphy in patients with rhabdomyolysis was related to etiologies and showed limited value for predicting ARF and RRT.