Literature DB >> 18585425

Background incidence of liver chemistry abnormalities in a clinical trial population without underlying liver disease.

John G Weil1, Chanchal Bains, Adam Linke, Douglas W Clark, Heide A Stirnadel, Christine M Hunt.   

Abstract

BACKGROUND: The FDA has recently proposed pre-marketing liver chemistry subject stopping criteria. The study was undertaken to determine the background rates of liver chemistry abnormalities in clinical trial populations without underlying liver disease.
METHODS: Data from 28 Phase II-IV trials in diseases with normal risk of underlying liver abnormalities were included. Information on 18,672 subjects, mean age of 44.3 years and 92.3% female was available. Prevalence and incidence of abnormal liver chemistries were calculated.
RESULTS: At baseline, the overall prevalence of alanine aminotransferase (ALT) elevations of 3 x ULN (upper limit of normal) and 5 x ULN was 0.08% and 0.01%, respectively. The prevalence of liver chemistry abnormalities was similar at study entry and exit. Overall, elevated liver chemistry incidence rates per 10,000 person months were 6.5 (95% CI 4.8; 8.5) for ALT 3 x ULN, 2.6 (1.6; 4.0) for ALT 5 x ULN, 0.3 (0.03; 0.9) for ALT 8 x ULN, 0.09 (0.04; 0.2) for alkaline phosphatase (ALP) 2 x ULN, and 0 for combined ALT+bilirubin elevation.
CONCLUSION: Elevations of ALT (3 x ULN) and ALP (2 x ULN) are rare in clinical trial populations without underlying liver disease and can be considered a safety signal. No events of ALT 3 x ULN with concomitant bilirubin 1.5 x ULN were noted. These analyses create a liver chemistry evidence base in normal risk clinical trial populations.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18585425     DOI: 10.1016/j.yrtph.2008.06.001

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  4 in total

1.  Validation of multivariate outlier detection analyses used to identify potential drug-induced liver injury in clinical trial populations.

Authors:  Xiwu Lin; Daniel Parks; Jeffery Painter; Christine M Hunt; Heide A Stirnadel-Farrant; Jie Cheng; Alan Menius; Kwan Lee
Journal:  Drug Saf       Date:  2012-10-01       Impact factor: 5.606

Review 2.  Liver safety assessment in special populations (hepatitis B, C, and oncology trials).

Authors:  Gerd A Kullak-Ublick; Michael Merz; Louis Griffel; Neil Kaplowitz; Paul B Watkins
Journal:  Drug Saf       Date:  2014-11       Impact factor: 5.606

Review 3.  Methodology to assess clinical liver safety data.

Authors:  Michael Merz; Kwan R Lee; Gerd A Kullak-Ublick; Andreas Brueckner; Paul B Watkins
Journal:  Drug Saf       Date:  2014-11       Impact factor: 5.606

4.  Pretreatment data is highly predictive of liver chemistry signals in clinical trials.

Authors:  Zhaohui Cai; Anders Bresell; Mark H Steinberg; Debra G Silberg; Stephen T Furlong
Journal:  Drug Des Devel Ther       Date:  2012-11-27       Impact factor: 4.162

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.