BACKGROUND: In clinical research, the definition of the upper limit of normal (ULN) is rarely detailed. For alanine transaminase (ALT), there are several definitions of ULN-ALT but no recognized global reference. Furthermore the inter-laboratory variability of results expressed using ULN-ALT is higher than using the actual value of ULN expressed in IU/L. Regulatory agencies still use ULN-ALT for the definition of drug adverse events such as drug induced liver disease (DILI). METHODS: We applied two extreme definitions of ULN-ALT (26 and 66 IU/L) in two populations with different liver disease risk: 7463 consecutive volunteers representative a low risk population, and 6865 consecutive patients hospitalized in a tertiary referral center. The same assay technique was used for both populations on fresh plasma in the same laboratory. RESULTS: In the low risk population the liver disease estimates ranged from 0% to 1.99% according to ULN-ALT definition and gender; prevalence of liver disease as defined by Temple's criteria (3×ULN) decreased significantly with increased ULN-ALT threshold and prevalence of liver disease was lower in females compared to males (all P<0.001). In the high risk population the estimates of liver disease prevalence ranged from 0.78% to 15.85%; disease prevalence using both Temple's corollary and Hy's law criteria (3×ULN-ALT and bilirubin >34 μmol/L) decreased significantly with increased ULN-ALT threshold and females compared to males. In the low risk population the two major factors associated with ULN variability were gender and BMI. CONCLUSION: Artificial statistical modifications of the procedures chosen for the ULN-ALT definition change dramatically the prevalence of DILI estimates. A consensus in liver disease definitions seems mandatory for DILI studies in order to prevent misleading conclusions.
BACKGROUND: In clinical research, the definition of the upper limit of normal (ULN) is rarely detailed. For alanine transaminase (ALT), there are several definitions of ULN-ALT but no recognized global reference. Furthermore the inter-laboratory variability of results expressed using ULN-ALT is higher than using the actual value of ULN expressed in IU/L. Regulatory agencies still use ULN-ALT for the definition of drug adverse events such as drug induced liver disease (DILI). METHODS: We applied two extreme definitions of ULN-ALT (26 and 66 IU/L) in two populations with different liver disease risk: 7463 consecutive volunteers representative a low risk population, and 6865 consecutive patients hospitalized in a tertiary referral center. The same assay technique was used for both populations on fresh plasma in the same laboratory. RESULTS: In the low risk population the liver disease estimates ranged from 0% to 1.99% according to ULN-ALT definition and gender; prevalence of liver disease as defined by Temple's criteria (3×ULN) decreased significantly with increased ULN-ALT threshold and prevalence of liver disease was lower in females compared to males (all P<0.001). In the high risk population the estimates of liver disease prevalence ranged from 0.78% to 15.85%; disease prevalence using both Temple's corollary and Hy's law criteria (3×ULN-ALT and bilirubin >34 μmol/L) decreased significantly with increased ULN-ALT threshold and females compared to males. In the low risk population the two major factors associated with ULN variability were gender and BMI. CONCLUSION: Artificial statistical modifications of the procedures chosen for the ULN-ALT definition change dramatically the prevalence of DILI estimates. A consensus in liver disease definitions seems mandatory for DILI studies in order to prevent misleading conclusions.
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
Authors: Christian Jansen; Diana J Leeming; Mattias Mandorfer; Inger Byrjalsen; Robert Schierwagen; Philipp Schwabl; Morten A Karsdal; Evrim Anadol; Christian P Strassburg; Jürgen Rockstroh; Markus Peck-Radosavljevic; Søren Møller; Flemming Bendtsen; Aleksander Krag; Thomas Reiberger; Jonel Trebicka Journal: PLoS One Date: 2014-09-29 Impact factor: 3.240
Authors: Angela Filomena; Jens C Göpfert; Darragh Duffy; Stanislas Pol; Mohamed Abdel-Hamid; Gamal Esmat; Arnaud Fontanet; Matthew L Albert; Thomas O Joos; Nicole Schneiderhan-Marra Journal: High Throughput Date: 2017-10-30
Authors: Helmi M'Kada; Hugo Perazzo; Mona Munteanu; Yen Ngo; Nittia Ramanujam; Bruno Fautrel; Françoise Imbert-Bismut; Vlad Ratziu; Ina Schuppe-Koistinen; Véronique Leblond; Jean Yves Delattre; Yves Samson; Olivier Lyon Caen; François Bricaire; David Khayat; Charles Pierrot-Deseilligny; Serge Herson; Zahir Amoura; Patrick Tilleul; Olivier Deckmyn; Pierre Coriat; Vincent Nicolas Delpech; Philippe Boulogne; Dominique Bonnefont-Rousselot; Thierry Poynard Journal: PLoS One Date: 2012-08-14 Impact factor: 3.240