IDDF2022-ABS-0170 Hypoxia and R-factor: predictors of abnormal lft in covid-19

IDDF2022-ABS-0170 Table 1Demographics, comorbidities, laboratory investigations and clinical outcomes of COVID-19 patients stratified by ALT All (n=163) Status of ALT P-value¶ Characteristics Abnormal (n=50) Normal (n=113) Age in years, median (IQR) 56 (43–65) 60 (50–67) 55 (37–64) 0.022 Gender, n (%) 0.124 Male 96 (58.9) 34 (68.0) 62 (54.9) Female 67 (41.1) 16 (32.0) 51 (45.1) Ethnic group, n (%) 0.520 Chinese 98 (60.1) 34 (68.0) 64 (56.6) Malay 18 (11.0) 4 (8.0) 14 (12.4) Indian 20 (12.3) 6 (12.0) 14 (12.4) Others 27 (16.6) 6 (12.0) 21 (18.6) Comorbidities, n (%) Diabetes 32 (19.6) 13 (26.0) 19 (16.8) 0.201 Hyperlipidemia 57 (35.0) 24 (48.0) 33 (29.2) 0.032 Hypertension 61 (37.4) 26 (52.0) 35 (31.0) 0.014 Ischemic heart disease 15 (9.2) 7 (14.0) 8 (7.1) 0.238 Chronic liver disease 4 (2.5) 1 (2.0) 3 (2.7) 1.000 Charlson Comorbidity Index, median (IQR) 0 (0–1) 0 (0–1) 0 (0–1) 0.400 BMI, kg/m2, median (IQR), n=46 24.3 (23.2–27.9) 22.9 (22.1–24.2) 24.6 (23.6–28.7) 0.011 GI symptoms, n (%) Diarrhoea 29 (17.8) 12 (24.0) 17 (15.0) 0.186 Abdominal pain 4 (2.5) 0 (0.0) 4 (3.5) 0.313 Nausea/vomiting 10 (6.1) 0 (0.0) 10 (8.8) 0.032 Abnormal chest radiography on admission 55 (33.7) 22 (44.0) 33 (29.2) 0.074 Laboratory investigations on admission, median (IQR) ALT, U/L 23 (18–31) 29 (22–33) 21 (17–26) <0.0005 ALT/LDH ratio, n=162 0.05 (0.04–0.07) 0.06 (0.04–0.07) 0.05 (0.03–0.06) 0.039 ALP 72 (60–89) 72 (61–90) 72 (60–89) 0.700 R factor 0.94 (0.70–1.26) 1.15 (0.86–1.49) 0.87 (0.63–1.19) <0.0005 WBC, x109/L 4.70 (3.80–5.70) 4.75 (3.80–5.83) 4.70 (3.85–5.70) 0.844 Lymphocyte, x109/L 1.11 (0.84–1.49) 0.99 (0.74–1.23) 1.20 (0.87–1.65) 0.002 PLT, x 109/L 188 (150–225) 177 (142–223) 193 (155–226) 0.306 CRP, mg/L, n=162 10.75 (3.15–39.40) 30.10 (11.28–50.65) 6.85 (1.95–23.88) <0.0005 LDH, U/L, n=162 420 (350–547) 482 (378–572) 408 (342–525) 0.033 Creatinine, μmol/L 72 (61–87) 76 (65–88) 71 (59–87) 0.288 Albumin, g/L, n=156 39 (37–42) 39 (37–41) 40 (37–43) 0.044 BIL, μmol/L, n=152 11 (9–14) 11 (9–14) 12 (9–15) 0.555 Medication used, n (%) NSAIDs 22 (13.5) 4 (8.0) 18 (15.9) 0.218 β-lactam 47 (28.8) 22 (44.0) 25 (22.1) 0.008 Hydroxychloroquine 7 (4.3) 1 (2.0) 6 (5.3) 0.677 Lopinavir/Ritonavir (Kaletra) 25 (15.3) 16 (32.0) 9 (8.0) <0.0005 Remdesivir 12 (7.4) 5 (10.0) 7 (6.2) 0.516 Interferon 9 (5.5) 6(12.0) 3 (2.7) 0.025 Days of symptoms before admission, median (IQR) 4 (3–7) 4 (2–7) 5 (3–7) 0.396 Length of stay in days, median (range) 13(8–17) 16(13–24) 11 (7–16) <0.0005 Clinical severity HDU/ICU, n (%) 29 (17.8) 16 (32.0) 13 (11.5) 0.003 Required supplementary oxygen, n (%) 50 (30.7) 29 (58.0) 21 (18.6) <0.0005 Days on supplementary oxygen, median (IQR), n=50 11 (6–18) 12 (6–21) 8 (5–15) 0.15 Intubated, n (%) 13 (8.0) 10 (20.0) 3 (2.7) <0.0005 Death, n (%) 5 (3.1) 3 (6.0) 2 (1.8) 0.169 Sample size, n=163, except where indicated.¶ P values are from Fisher’s exact test or chi-square test for categorical variables and Mann-Whitney U test for continuous variables. P values< 0.05 are in bold.ALP, alkaline phosphatase;ALT, alanine aminotransferase;AST, aspartate aminotransferase;BIL, bilirubin;BMI, body mass index;CRP, c-reactive protein;GI, gastrointestinal;ICU, intensive care unit;IQR, interquartile range;LDH, lactate dehydrogenase;HDU, high dependency unit;PLT, platelet count;WBC, white blood cell.Results30.7% of patients developed abnormal ALT: they were more likely to be older and had comorbidities of hyperlipidaemia and hypertension. Multivariate logistic regression (IDDF2022-ABS-0170 Table 2) showed that R-factor ≥1 on admission (aOR 3.13, 95%CI 1.41–6.95) and hypoxia (aOR3.54, 95%CI 1.29–9.69) were independent risk factors for developing abnormal ALT, but not medications or comorbidities. The R-factor on admission trended higher for patients who developed abnormal LFT as compared to those who didn’t, regardless of the day of illness (IDDF2022-ABS-0170 Figure 1. R-factor). The patients who developed abnormal ALT also ran a more severe course of illness with a greater proportion needing supplementary oxygen (58%vs18.6%, p <0.0005), admission to Intensive Care/High Dependency Unit (32%vs11.5%, p=0.003) and intubation (20%vs2.7%, p<0.0005). The death rate between the 2 groups was similar. IDDF2022-ABS-0170 Table 2Odds ratio of risk factors for development of abnormal ALTVariable Univariable model Multivariable model ‡ cOR (95% CI) P value aOR (95% CI) P value Age in years <45 1.00 Referent 1.00 Referent 45–64 3.42 (1.28–9.11) 0.014 2.69 (0.84–8.47) 0.096 65+ 4.31 (1.49–12.42) 0.007 2.84 (0.66–12.19) 0.160 Gender Male 1.00 Referent Female 0.57 (0.28–1.15) 0.118 Diabetes 1.74 (0.78–3.87) 0.176 Hyperlipidemia 2.24 (1.13–4.45) 0.022 1.14 (0.43–3.00) 0.796 Hypertension 2.41 (122–4.78) 0.0110.89 (0.31–2.58) 0.835 Ischemic heart disease 2.14 (0.73–6.26) 0.166 Presence of GI symptom(s) on admission 1.17 (0.53–2.58) 0.695 Abnormal chest x-ray on admission 1.90 (0.96–3.80) 0.067 0.91 (0.36–2.25) 0.833 R factor on admission <1 1.00 Referent 1.00 Referent ≥1 3.12 (1.56–6.24) 0.001 3.13 (1.41–6.95) 0.005 Use of acetaminophen No 1.00 Referent Yes, <2 g/day 1.48 (0.39–5.65) 0.567 Yes, ≥2 g/day 2.86 (0.71–11.46) 0.139 Use of β-lactam 2.77 (1.35–5.65) 0.005 1.12 (0.38–3.24) 0.840 Use of Hydroxychloroquine 0.36 (0.04–3.11) 0.355 Use of Lopinavir/Ritonavir (Kaletra) 5.44 (2.20–13.43) <0.0005 2.20 (0.57–8.45) 0.252 Use of Remdesivir 1.68 (0.51–5.58) 0.395 Use of interferon 5.00 (1.20–20.88) 0.027 0.80 (0.12–5.22) 0.813 Hypoxia 6.05 (2.9–12.62) <0.0005 3.54 (1.29–9.69) 0.014 ‡ Variables in the multivariable logistic regression model were age group, hyperlipidemia, hypertension, whether there was abnormal chest x-ray on admission, R factor on admission, use of β-lactam, use of LPV/r, use of interferon, and hypoxia, P values<0.05 are in bold, aOR, adjusted odds ratio, cOR, crude odds ratio IDDF2022-ABS-0170 Figure 1ConclusionsLiver injury is associated with poorer clinical outcomes in COVID-19 patients. R-factor ≥1 on admission and hypoxia are independent risk factors for developing abnormal ALT in COVID-19. More studies are required to see if the incorporation of the R-factor into conventional clinical risk scores can improve the performance in predicting disease progression/discriminating disease severity and applicability in emerging virus variants.