| Literature DB >> 34520121 |
Luca Valenti1,2, Serena Pelusi1,2, Cristiana Bianco2,3, Ferruccio Ceriotti4, Alessandra Berzuini2, Laura Iogna Prat5, Roberta Trotti2, Francesco Malvestiti1,2, Roberta D'Ambrosio6, Pietro Lampertico6,7, Agostino Colli2, Massimo Colombo8, Emmanuel A Tsochatzis5, Mirella Fraquelli9, Daniele Prati2.
Abstract
The changing epidemiology of liver disease, and modifications in the recommended analytical methodology call for a re-evaluation of the upper reference limits (URLs) of alanine aminotransferase (ALT) levels. Using the same approach consolidated 20 years ago to define the healthy population, we defined the URL for the newly recommended International Federation of Clinical Chemistry (IFCC) standardized test. In a cross-sectional study, we examined 21,296 apparently healthy blood donors (age 18-65 years) and calculated the sex-specific URL by the 95th percentile in individuals without risk factors for liver disease. These were tested for the ability to predict liver damage in a subset of 745 participants with dysmetabolism, in an independent cohort of 977 unselected donors, and in 899 patients with chronic liver disease. ALT levels were measured by the IFCC test. Male sex, body mass index, glucose, lipids, ferritin, hypertension, and younger age were independent ALT predictors (P < 0.001). Updated URLs were identified at 42/30 U/L in males/females, approximately 30% lower than those currently recommended by the IFCC. Due to improved sensitivity, they conferred the ability to detect steatosis and significant fibrosis in individuals with dysmetabolism (odds ratio [OR] = 2.31, range 1.40-3.80, P = 0.001; and OR = 3.35, range 1.19-9.42, P = 0.021; respectively), although with a limited accuracy, and significant fibrosis in unselected donors (OR = 2.32, 1.02-5.31, P = 0.045). Updated URLs had a moderate to high accuracy to discriminate liver conditions (area under the receiver operating characteristic curve = 0.81, range 0.78-0.91).Entities:
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Year: 2021 PMID: 34520121 PMCID: PMC8557310 DOI: 10.1002/hep4.1794
Source DB: PubMed Journal: Hepatol Commun ISSN: 2471-254X
Clinical Features of the Study Cohorts (Upper Panel: 21,296 Apparently Healthy Individuals From the Ca’ Granda‐2018 Cohort, Who Were Included in the Study; Lower Panel: 745 Individuals From the Liver‐Bible‐2020 Cohort)
| Ca’ Granda‐2018 Cohort, Whole Population | Males (n = 13,741, 64.5%) | Females (n = 7,555, 35.5%) |
|
|---|---|---|---|
| Age, years | 41.3 (12.9) | 37.8 (13.6) | <0.0001 |
| BMI, kg/m2 | 24.9 (3.2) | 23.0 (3.6) | <0.0001 |
| Obesity, yes | 957 (7.0) | 408 (5.4) | <0.0001 |
| Glucose, mg/dL | 86 (10) | 83 (12) | <0.0001 |
| Impaired fasting glucose, yes | 323 (2.4) | 186 (2.5) | 0.60 |
| Total cholesterol, mg/dL | 184 (35) | 182 (33) | <0.0001 |
| Triglycerides, mg/dL | 97 (57) | 77 (38) | <0.0001 |
| Arterial hypertension | 4,229 (30.9) | 1,007 (13.4) | <0.0001 |
| ALT, U/L | 26.2 (13.3) | 18.9 (13.5) | <0.0001 |
| HBsAg, positive | 251 (1.8) | 247 (3.3) | <0.0001 |
| Anti‐HCV Ab, positive | 254 (1.9) | 246 (3.3) | <0.0001 |
| First‐time donors | 1,902 (13.8) | 1,496 (19.8) | <0.0001 |
Data are shown as mean (SD) or frequency (%). P values were determined at univariate logistic regression models.
Distribution of ALT Serum Activity (U/L) Stratified by Sex in the Whole Ca’ Granda‐2018 Cohort and in Individuals Without Risk Factors for Liver Disease
| ALT Percentile | ||
|---|---|---|
| Whole Cohort | Males (n = 13,741) | Females (n = 7,555) |
| 5 | 13 | 10 |
| 25 | 18 | 14 |
| 50 | 23 | 17 |
| 75 | 30 | 21 |
| 95 | 48 | 33 |
The distribution of ALT percentiles was obtained in participants stratified by sex.
Independent Determinants of Serum ALT Levels (log U/L) in the Whole Ca’ Granda‐2018 Cohort of 21,296 Healthy Individuals, and in Males/Females Separately
| Estimate | SEM |
| |
|---|---|---|---|
| Overall Cohort, n = 21,296 | |||
| Sex, F | −0.103 | 0.003 | 6*10−238 |
| Age, years | −0.001 | 0.002 | 2*10−10 |
| BMI, kg/m2 | +0.022 | 0.001 | 2*10−159 |
| Glucose, 10 mg/dL | +0.010 | 0.006 | 0.003 |
| Triglycerides, 10 mg/dL | +0.004 | 0.003 | 5*10−16 |
| Total cholesterol, 10mg/dL | +0.010 | 0.001 | 2*10−46 |
| Ferritin, log ng/mL | +0.083 | 0.003 | 2*10−117 |
| Arterial hypertension, yes | +0.012 | 0.003 | 0.0002 |
| Physical activity, moderate/severe | +0.007 | 0.002 | 0.013 |
| HBsAg or anti‐HCV Ab, positive | +0.004 | 0.008 | 0.59 |
| Recreational drug use, yes | −0.011 | 0.004 | 0.019 |
| Regular alcohol drinking, yes | −0.006 | 0.004 | 0.16 |
| Males, n = 13,741 | |||
| Estimate | SEM |
| |
| Age, years | −0.004 | 0.000 | 4*10−34 |
| BMI, kg/m2 | +0.029 | 0.001 | 1*10−153 |
| Glucose, mg/dL | +0.001 | 0.000 | 0.0001 |
| Triglycerides, mg/dL | +0.0005 | 0.0004 | 1*10−16 |
| Total cholesterol, mg/dL | +0.001 | 0.000 | 3*10−46 |
| Ferritin, log ng/mL | +0.078 | 0.004 | 3*10−70 |
| Arterial hypertension, yes | +0.012 | 0.003 | 0.001 |
| Physical activity, moderate/severe | +0.001 | 0.003 | 0.79 |
| HBsAg or anti‐HCV Ab, positive | +0.018 | 0.011 | 0.13 |
| Recreational drug use, yes | −0.015 | 0.005 | 0.005 |
| Regular alcohol drinking, yes | +0.004 | 0.005 | 0.50 |
| Females, n = 7,555 | |||
| Estimate | SEM |
| |
| Age, years | −0.001 | 0.003 | 3*10−7 |
| BMI, kg/m2 | +0.014 | 0.001 | 2*10−28 |
| Glucose, 10 mg/dL | +0.000 | 0.000 | 0.65 |
| Triglycerides, 10 mg/dL | +0.000 | 0.000 | 0.97 |
| Total cholesterol, 10 mg/dL | +0.010 | 0.002 | 3*10−7 |
| Ferritin, log ng/ml | +0.070 | 0.006 | 2*10−29 |
| Arterial hypertension, yes | +0.010 | 0.006 | 0.097 |
| Physical activity, moderate/severe | +0.018 | 0.005 | 9*10−5 |
| HBsAg or anti‐HCV Ab, positive | +0.004 | 0.008 | 0.75 |
| Recreational drug use, yes | −0.006 | 0.008 | 0.48 |
| Regular alcohol drinking, yes | −0.009 | 0.005 | 0.098 |
P values were determined at multivariate generalized linear models, adjusted for the confounders specified in the table.
Comparison of the Diagnostic Accuracy of Newly Established Versus Previous ALT‐URL‐IFCC for the Presence of Hepatic Steatosis and Significant Fibrosis in the Liver‐Bible‐2020 Cohort (n = 745)
| Steatosis | Significant Fibrosis | |||
|---|---|---|---|---|
| Old ALT‐URL‐IFCC (59/41 in M/F) | New ALT‐URL‐IFCC (42/30 in M/F) | Old ALT‐URL‐IFCC (59/41 in M/F) | New ALT‐URL‐IFCC (42/30 in M/F) | |
| OR (95% CI) | 1.80 (0.77‐4.19) | 2.31 (1.40‐3.80) | 3.09 (0.67‐14.19) | 3.35 (1.19‐9.42) |
|
| 0.17 | 0.001 | 0.15 | 0.021 |
| AUROC | 0.51 | 0.55 | 0.54 | 0.61 |
| Prevalence | 0.69 (0.65‐0.72) | 0.69 (0.65‐0.72) | 0.02 (0.01‐0.03) | 0.02 (0.01‐0.03) |
| Sensitivity | 0.05 (0.04‐0.08) | 0.19 (0.15‐0.22) | 0.12 (0.03‐0.36) | 0.38 (0.18‐0.61) |
| Specificity | 0.97 (0.94‐0.98) | 0.91 (0.87‐0.94) | 0.96 (0.94‐0.97) | 0.85 (0.82‐0.87) |
| PPV | 0.79 (0.63‐0.90) | 0.82 (0.74‐0.88) | 0.06 (0.02‐0.19) | 0.05 (0.02‐0.11) |
| NPV | 0.32 (0.28‐0.35) | 0.34 (0.30‐0.38) | 0.98 (0.97‐0.99) | 0.98 (0.97‐0.99) |
| Positive LR | 1.76 (0.78‐3.98) | 2.06 (1.32‐3.22) | 2.83 (0.74‐10.81) | 2.47 (1.28‐4.76) |
| Negative LR | 0.98 (0.95‐1.01) | 0.89 (0.84‐0.95) | 0.91 (0.76‐1.10) | 0.74 (0.50‐1.08) |
In AUROC analysis, ALT was treated as a binary variable, as a measure of the accuracy of different cutoffs. P values were determined at univariate logistic regression models.
Abbreviations: NPV, negative predictive value; PPV, positive predictive value.