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Clinical and histopathologic features of fluoroquinolone-induced liver injury

Orman ES, Conjeevaram HS, Vuppalanchi R, Freston JW, Rochon J, Kleiner DE, Hayashi PH, DILIN Research Group

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association, 2011

130 citations

Abstract

Background & Aims Fluoroquinolone-induced liver injury is rare; no prospective studies of well-characterized case series have been published. We studied patients with fluoroquinolone-induced hepatoxicity, using data from the Drug-Induced Liver Injury Network (DILIN) to characterize injury patterns, outcomes, and associated features. Methods We identified subjects with fluoroquinolone hepatotoxicity who enrolled in the DILIN from September 2004 to January 2010. Demographic, clinical, and laboratory data were analyzed by descriptive statistical methods. Results Of the 679 registrants in the DILIN prospective study, 12 had hepatoxicity from fluoroquinolones (6 ciprofloxacin, 4 moxifloxacin, 1 levofloxacin, and 1 gatifloxacin). Seven were women; the median age was 57 years (range 23–80 years), and the median time from the start of fluoroquinolone therapy to symptoms was only 4 days (range 1–39 days). Nine cases developed symptoms on medication (2, 8, and 32 days after they stopped the medication, 3 patients each). Cases were equally distributed among hepatocellular injury (predominantly increased levels of alanine aminotransferase), cholestatic injury (predominantly increased levels of alkaline phosphatase [AP]), and both. Seven cases had immunoallergic features. Patients with mixed hepatocellular and cholestatic injury had mild disease without jaundice—all recovered. In contrast, 2 of 4 patients with hepatocellular injury and jaundice died, 1 of acute liver failure. One patient…

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Evidence Hub reads this as a case series, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

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