Abstract
Background and Aims
Normal ranges of serum alanine aminotransferase (ALT) may vary by race. However, results from research studies are contradictory, and many of these studies have included only small numbers of African Americans. We investigated ALT values in patients without evidence of liver disease to determine whether normal ranges differ across race groups. We also evaluated whether a race- and sex-dependent upper limit of normal (ULN) would improve the ability of ALT to predict liver disease compared to the sex-dependent ULN currently in use.
Methods
We identified ICD9 codes for liver conditions and diabetes in medical records from a sample of 6719 patients. Analysis of variance (ANOVA) was used to assess differences in ALT log-transformed distributions by race. Logistic regression was used to evaluate whether the addition of race to the current sex-dependent ULN improves the ability of ALT to predict liver disease (assessed by area under the receiver operating characteristic curve (AUROC)).
Results
Among 1200 patients with BMI 18.5 < 25 and no evidence of liver disease or type 2 diabetes in their medical record, African Americans demonstrated significantly lower ALT (23.47 IU/L; 95% CL 22.87–24.10) than a combined group of Asian American/White/Other patients (25.71 IU/L; 95% CL 24.69–26.77). This difference remained across BMI categories. The race- and sex-dependent model demonstrated significantly better predictive ability than the sex-dependent model (AUROC = 66.6% versus 59.6%, respectively; p < 0.0001).
Conclusions
In a large, racially diverse sample, African Americans demonstrated significantly lower ALT compared to non-African Americans; this difference remained as BMI increased. The establishment of race-specific normal ranges for ALT could contribute to better screening and care for African American patients.
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Funding
This analysis was funded by Henry Ford Health System (Detroit, MI).
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Authors and Affiliations
Contributions
Study concept and design: AV, SJ, KB, VL, ML, SG.
Acquisition of data: AV, SJ, RK, KB, VL, SG.
Analysis and interpretation of data: ST, YZ, LL, ML, SG.
Drafting of the manuscript: ST, SG.
Critical revision of the manuscript for important intellectual content: AV, ST, YZ, SJ, RK, LL, KB, VL, ML, SG.
Statistical analysis: YZ, LL, ML.
Obtained funding: ML, SG.
Study supervision: SG.
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Ethics declarations
All protocols were reviewed and approved by the HFHS Institutional Review Board prior to study initiation. The requirement for written informed consent was waived due to the observational nature of the study and the use of de-identified data.
Conflict of Interest
Stuart C. Gordon receives grant/research support from AbbVie Inc., Conatus Pharmaceuticals, CymaBay Therapeutics, Gilead Pharmaceuticals, Intercept Pharmaceuticals, and Merck & Co. He serves as an ad hoc consultant/advisor for Abbvie Inc., CVS Caremark, Gilead Pharmaceuticals, Intercept Pharmaceuticals, and Merck & Co.
Kimberly Brown receives grant/research support from Novartis, Gilead Pharmaceuticals, Conatus Pharmaceuticals, and Allergan. She has served as an advisor for Merck & Co, Gilead Pharmaceuticals, and AbbVie Inc.
Sheri Trudeau, Yueren Zhou, and Mei Lu receive grant/research support from Gilead Pharmaceuticals.
Lois Lamerato receives research support from AstraZeneca, Pfizer inc, Merck & Co, Policy Analysis Inc., Analytica International, Xcenda, eMaxHealth, and Evidera.
Adarsh Varma, Syed-Mohammed Jafri, Richard Krajenta, and Veronica Luzzi have no potential conflicts of interest to disclose.
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Varma, A., Trudeau, S., Zhou, Y. et al. African Americans Demonstrate Significantly Lower Serum Alanine Aminotransferase Compared to Non-African Americans. J. Racial and Ethnic Health Disparities 8, 1533–1538 (2021). https://doi.org/10.1007/s40615-020-00916-2
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DOI: https://doi.org/10.1007/s40615-020-00916-2