Background Chronic liver disease (CLD) represents a major global health burden. We undertook this study to identify the factors associated with adverse outcomes in patients with CLD who acquire the novel coronavirus-2019 (COVID-19). Methods We conducted a multi-center, observational cohort study across 21 institutions in the United States (US) of adult patients with CLD and laboratory-confirmed diagnosis of COVID-19 between March 1, 2020 and May 30, 2020. We performed survival analysis to identify independent predictors of all-cause mortality and COVID-19 related mortality, and multivariate logistic regression to determine the risk of severe COVID-19 in patients with CLD. Results Of the 978 patients in our cohort, 867 patients (mean age 56.9±14.5 years, 55% male) met inclusion criteria. The overall all-cause mortality was 14.0% (n = 121), and 61.7% (n = 535) had severe COVID-19. Patients presenting with diarrhea or nausea/vomiting were more likely to have severe COVID-19. The liver-specific factors associated with independent risk of higher overall mortality were alcohol-related liver disease (ALD) (hazard ratio [HR] 2.42, 95% confidence interval [CI] 1.29-4.55), decompensated cirrhosis (HR 2.91 [1.70-5.00]) and hepatocellular carcinoma (HCC) (HR 3.31 [1.53-7.16]). Other factors were increasing age, diabetes, hypertension, chronic obstructive pulmonary disease and current smoker. Hispanic ethnicity (odds ratio [OR] 2.33 [1.47-3.70]) and decompensated cirrhosis (OR 2.50 [1.20-5.21]) were independently associated with risk for severe COVID-19. Conclusions The risk factors which predict higher overall mortality among patients with CLD and COVID-19 are ALD, decompensated cirrhosis and HCC. Hispanic ethnicity and decompensated cirrhosis are associated with severe COVID-19. Our results will enable risk stratification and personalization of the management of patients with CLD and COVID-19.
Background and Aims: Consensus guidelines recommend high-dose corticosteroids (1-2 mg/kg/day methylprednisolone equivalents) for treating grade ≥3 immune checkpoint inhibitor (ICI) hepatitis. We examined the effect of corticosteroid dosing on time to alanine aminotransferase (ALT) normalization, need for additional immunosuppression, and steroid-related complications. Approach and Results:We conducted a retrospective cohort study of 215 ICI-treated patients from 2010 to 2020 who developed grade ≥3 (ALT > 200 U/L) ICI hepatitis. Patients were grouped by initial corticosteroid dose (≥1.5 mg/kg or <1.5 mg/kg methylprednisolone equivalents).Propensity scores were calculated predicting the risk of receiving the higher steroid dose and used in inverse probability of treatment weighted (IPTW) logistic or Cox regression. The 87 patients in the ≥1.5 mg/kg group received higher initial (2.0 vs. 0.8 mg/kg/day, p < 0.001) and maximum (2.0 vs. 1.0 mg/kg/day, p < 0.001) steroid doses than the 128 patients in the <1.5 mg/kg group. There was no difference between the higher versus lower-dose groups in development of steroid-refractory hepatitis (OR 1.22, 95% CI 0.79-1.89, p = 0.365) on IPTW-logistic regression. In patients with steroid-responsive disease, there was no difference between the two groups in time to ALT normalization using either standard Cox regression (HR 1.02, 95% CI 0.72-1.45, p = 0.903) or IPTW-Cox regression (HR 1.09, 95% CI 0.78-1.51, p = 0.610). The ≥1.5 mg/kg group had longer exposure to corticosteroids (median 60 vs. 44 days, p = 0.005) and higher incidences of infection (18.4% vs. 7.0%, relative risk [RR] 2.6, 95% CI 1.2-5.6, p = 0.011) and hyperglycemia requiring treatment (23.3% vs.
Early liver transplantation (LT) for alcohol-associated hepatitis (AH) is the fastest growing indication for LT, but prediction of harmful alcohol use post-LT remains limited. Among 10 ACCELERATE-AH centers, we examined psychosocial evaluations from consecutive LT recipients for AH from 2006 to 2017. A multidisciplinary panel used content analysis to develop a maximal list of psychosocial variables. We developed an artificial intelligence model to predict post-LT harmful alcohol use. The cohort included training (N = 91 among 8 centers) and external validation (N = 25 among 2 | 1835 AJT LEE Et aL.
Early liver transplantation (LT) for severe alcoholic hepatitis (AH) is a rescue therapy for highly selected patients with favorable psychosocial profiles not responding to medical therapy. Given the expected increase of AH candidate referrals requiring complex care and comprehensive evaluations, increased workload and cost might be expected from implementing an early LT program for AH but have not been determined. Some centers may also view AH as a strategy to expeditiously increase LT volume and economic viability. The aim of this study was to determine the health care use and costs of an early LT program for AH. Analyses of prospective databases of AH, interhospital transfers, and the hospital accounting system at a single center were performed from July 2011 to July 2016. For 5 years, 193 patients with severe AH were evaluated at our center: 143 newly referred transfers and 50 direct admissions. Annual increases of 13% led to 2 to 3 AH transfers/month and AH becoming the top reason for transfer. There were 169 (88%) nonresponders who underwent psychosocial evaluations; 15 (9%) underwent early LT. The median cost of early LT was $297,422, which was highly correlated with length of stay (r = 0.83; P < 0.001). Total net revenue of the program from LT admission to 90 days after LT was −$630,305 (−5.0% revenue), which was inversely correlated with MELD score (r = −0.70; P = 0.004) and yielded lower revenue than a contemporaneous LT program for acute-on-chronic liver failure (ACLF; $118,168; 1.4% revenue; P = 0.001). The health care use and costs of an early LT program for AH are extensive and lifesaving with marginally negative net revenue. Significantly increasing care of severe AH patients over 5 years resulted in increased LT volume, but at a lower rate than ACLF, and without improving economic outcomes due to high MELD and prolonged length of stay.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.