Skip to main content
Top
Published in: BMC Gastroenterology 1/2015

Open Access 01-12-2015 | Research article

Hepatic outcomes among adults taking duloxetine: a retrospective cohort study in a US health care claims database

Authors: Nancy D. Lin, Heather Norman, Arie Regev, David G. Perahia, Hu Li, Curtis Liming Chang, David D. Dore

Published in: BMC Gastroenterology | Issue 1/2015

Login to get access

Abstract

Background

Hepatic injury has been reported following duloxetine use. This study further examines the hepatic safety of duloxetine in a large US health insurance database.

Methods

In this propensity score-matched cohort analysis in a US commercially insured population (01 August 2004 to 31 December 2010), we compared individuals with depression and without liver disease who initiated duloxetine to comparators (venlafaxine or selective serotonin reuptake inhibitors [SSRIs], and individuals with pharmacologically untreated depression). We estimated incidence rates (IR) and 95 % confidence intervals (CI) for medical record-confirmed hepatic-related death, liver failure, and other clinically significant hepatic injury.

Results

Among 30,844 duloxetine initiators, 21,000 were matched to venlafaxine initiators, 28,479 to SSRI initiators, and 22,714 to untreated patients. There were no cases of hepatic-related death or liver failure. IRs of other clinically significant hepatic injury without documented alternate etiologies were higher but not statistically significant among duloxetine initiators compared to initiators of venlafaxine (0.7/1000 person-years [PY] [95 % CI: 0.2 − 1.5] vs. 0.0/1000 PY [95 % CI: 0.0 − 0.3]) and SSRIs (0.4/1000 PY [95 % CI: 0.1 − 1.0] vs. 0.0/1000 PY [95 % CI: 0.0 − 0.3]). IRs were similar among duloxetine and untreated patients (0.5/1000 PY [95 % CI: 0.1 − 1.3] vs. 0.5/1000 PY [95 % CI: 0.1 − 1.5]). When hepatic outcomes were considered irrespective of alternate etiologies, similar results were observed.

Conclusions

Our findings, while not statistically significant, may suggest a higher incidence of hepatic injury other than hepatic-related death or liver failure among duloxetine initiators compared to venlafaxine and possibly SSRIs, but not untreated patients. These differences remain consistent with chance, and an elevated risk cannot be ruled in or out.
Literature
2.
go back to reference Temple RJ, Himmel MH. Safety of newly approved drugs: implications for prescribing. JAMA. 2002;287:2273–5.CrossRefPubMed Temple RJ, Himmel MH. Safety of newly approved drugs: implications for prescribing. JAMA. 2002;287:2273–5.CrossRefPubMed
3.
go back to reference Wernicke J, Pangallo B, Wang F, Murray I, Henck JW, Knadler MP, et al. Hepatic effects of duloxetine-I: non-clinical and clinical trial data. Curr Drug Saf. 2008;3:132–42. Wernicke J, Pangallo B, Wang F, Murray I, Henck JW, Knadler MP, et al. Hepatic effects of duloxetine-I: non-clinical and clinical trial data. Curr Drug Saf. 2008;3:132–42.
4.
go back to reference Wernicke J, Acharya N, Strombom I, Gahimer JL, D’Souza DN, DiPietro N, et al. Hepatic effects of duloxetine-II: spontaneous reports and epidemiology of hepatic events. Curr Drug Saf. 2008;3:143–53. Wernicke J, Acharya N, Strombom I, Gahimer JL, D’Souza DN, DiPietro N, et al. Hepatic effects of duloxetine-II: spontaneous reports and epidemiology of hepatic events. Curr Drug Saf. 2008;3:143–53.
5.
go back to reference Vuppalanchi R, Hayashi PH, Chalasani N, Fontana RJ, Bonkovsky H, Saxena R, et al. Duloxetine hepatotoxicity: a case-series from the drug-induced liver injury network. Aliment Pharmacol Ther. 2010;32:1174–83. Vuppalanchi R, Hayashi PH, Chalasani N, Fontana RJ, Bonkovsky H, Saxena R, et al. Duloxetine hepatotoxicity: a case-series from the drug-induced liver injury network. Aliment Pharmacol Ther. 2010;32:1174–83.
6.
7.
go back to reference Cipriani A, Koesters M, Furukawa TA, Nose M, Purgato M, Omori IM, et al. Duloxetine versus other anti-depressive agents for depression. Cochrane Database Syst Rev. 2012;10:CD006533. doi:10.1002/14651858.CD006533.pub2. Cipriani A, Koesters M, Furukawa TA, Nose M, Purgato M, Omori IM, et al. Duloxetine versus other anti-depressive agents for depression. Cochrane Database Syst Rev. 2012;10:CD006533. doi:10.​1002/​14651858.​CD006533.​pub2.
8.
go back to reference Xue F, Strombom I, Turnbull B, Zhu S, Seeger JD. Duloxetine for depression and the incidence of hepatic events in adults. J Clin Psychopharmacol. 2011;31:517–22. Xue F, Strombom I, Turnbull B, Zhu S, Seeger JD. Duloxetine for depression and the incidence of hepatic events in adults. J Clin Psychopharmacol. 2011;31:517–22.
9.
go back to reference Chalasani N, Fontana RJ, Bonkovsky HL, Watkins PB, Davern T, Serrano J, et al. Causes, clinical features, and outcomes from a prospective study of drug-induced liver injury in the United States. Gastroenterology. 1934;2008(135):1924–34. Chalasani N, Fontana RJ, Bonkovsky HL, Watkins PB, Davern T, Serrano J, et al. Causes, clinical features, and outcomes from a prospective study of drug-induced liver injury in the United States. Gastroenterology. 1934;2008(135):1924–34.
10.
go back to reference de Abajo FJ, Montero D, Madurga M, Garcia Rodriguez LA. Acute and clinically relevant drug-induced liver injury: a population based case–control study. Br J Clin Pharmacol. 2004;58:71–80. de Abajo FJ, Montero D, Madurga M, Garcia Rodriguez LA. Acute and clinically relevant drug-induced liver injury: a population based case–control study. Br J Clin Pharmacol. 2004;58:71–80.
12.
go back to reference D’Agostino Jr RB. Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Stat Med. 1998;17:2265–81.CrossRefPubMed D’Agostino Jr RB. Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Stat Med. 1998;17:2265–81.CrossRefPubMed
13.
go back to reference Rubin DB, Thomas N. Matching using estimated propensity scores: relating theory to practice. Biometrics. 1996;52:249–64.CrossRefPubMed Rubin DB, Thomas N. Matching using estimated propensity scores: relating theory to practice. Biometrics. 1996;52:249–64.CrossRefPubMed
14.
go back to reference Rosenbaum PR, Rubin DB. The central role of the propensity score in observational studies for causal effects. Biometrika. 1983;70:41–55.CrossRef Rosenbaum PR, Rubin DB. The central role of the propensity score in observational studies for causal effects. Biometrika. 1983;70:41–55.CrossRef
15.
go back to reference Glynn RJ, Schneeweiss S, Sturmer T. Indications for propensity scores and review of their use in pharmacoepidemiology. Basic Clin Pharmacol Toxicol. 2006;98:253–9.CrossRefPubMedPubMedCentral Glynn RJ, Schneeweiss S, Sturmer T. Indications for propensity scores and review of their use in pharmacoepidemiology. Basic Clin Pharmacol Toxicol. 2006;98:253–9.CrossRefPubMedPubMedCentral
16.
go back to reference Parsons LS. Reducing bias in a propensity-score matched-pair sample using greedy matching techniques. In Proceedings of the Twenty-Sixth Annual SAS Users Group International Conference, 2001, Edited by SAS Institute Inc. Cary: SAS Institute Inc.; 2001. Paper 214–26. Parsons LS. Reducing bias in a propensity-score matched-pair sample using greedy matching techniques. In Proceedings of the Twenty-Sixth Annual SAS Users Group International Conference, 2001, Edited by SAS Institute Inc. Cary: SAS Institute Inc.; 2001. Paper 214–26.
17.
go back to reference Austin PC, Grootendorst P, Anderson GM. A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study. Stat Med. 2007;26:734–53.CrossRefPubMed Austin PC, Grootendorst P, Anderson GM. A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study. Stat Med. 2007;26:734–53.CrossRefPubMed
18.
go back to reference Austin PC. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Stat Med. 2009;28:3083–107.CrossRefPubMedPubMedCentral Austin PC. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Stat Med. 2009;28:3083–107.CrossRefPubMedPubMedCentral
19.
go back to reference Rothman KJ, Ray W. Should cases with a ‘known’ cause of their disease be excluded from study? (commentary). Pharmacoepidemiol Drug Saf. 2002;11:11–4.CrossRefPubMed Rothman KJ, Ray W. Should cases with a ‘known’ cause of their disease be excluded from study? (commentary). Pharmacoepidemiol Drug Saf. 2002;11:11–4.CrossRefPubMed
20.
go back to reference Shin J, Hunt CM, Suzuki A, Papay JI, Beach KJ, Cheetham TC. Characterizing phenotypes and outcomes of drug-associated liver injury using electronic medical record data. Pharmacoepidemiol Drug Saf. 2013;22:190–8. Shin J, Hunt CM, Suzuki A, Papay JI, Beach KJ, Cheetham TC. Characterizing phenotypes and outcomes of drug-associated liver injury using electronic medical record data. Pharmacoepidemiol Drug Saf. 2013;22:190–8.
21.
go back to reference Jinjuvadia K, Kwan W, Fontana RJ. Searching for a needle in a haystack: use of ICD-9-CM codes in drug-induced liver injury. Am J Gastroenterol. 2007;102:2437–43.CrossRefPubMed Jinjuvadia K, Kwan W, Fontana RJ. Searching for a needle in a haystack: use of ICD-9-CM codes in drug-induced liver injury. Am J Gastroenterol. 2007;102:2437–43.CrossRefPubMed
22.
go back to reference Udo R, Maitland-van der Zee AH, Egberts TC, den Breeijen JH, Leufkens HG, van Solinge WW, et al.: Validity of diagnostic codes and laboratory measurements to identify patients with idiopathic acute liver injury in a hospital database. Pharmacoepidemiol Drug Saf 2015. doi: 10.1002/pds.3824 Udo R, Maitland-van der Zee AH, Egberts TC, den Breeijen JH, Leufkens HG, van Solinge WW, et al.: Validity of diagnostic codes and laboratory measurements to identify patients with idiopathic acute liver injury in a hospital database. Pharmacoepidemiol Drug Saf 2015. doi: 10.​1002/​pds.​3824
23.
go back to reference Cymbalta [package insert]. Indianapolis, IN: Eli Lilly and Company; 2012. Cymbalta [package insert]. Indianapolis, IN: Eli Lilly and Company; 2012.
Metadata
Title
Hepatic outcomes among adults taking duloxetine: a retrospective cohort study in a US health care claims database
Authors
Nancy D. Lin
Heather Norman
Arie Regev
David G. Perahia
Hu Li
Curtis Liming Chang
David D. Dore
Publication date
01-12-2015
Publisher
BioMed Central
Published in
BMC Gastroenterology / Issue 1/2015
Electronic ISSN: 1471-230X
DOI
https://doi.org/10.1186/s12876-015-0373-4

Other articles of this Issue 1/2015

BMC Gastroenterology 1/2015 Go to the issue
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discuss last year's major advances in heart failure and cardiomyopathies.