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Analysis of weekend effect in severe acute liver injury: A nationwide database study

BACKGROUND AND AIMS: Severe acute liver injury (ALI) can lead to poor outcomes without timely management. Comparatively worse outcomes in various severe, emergent conditions have been attributed to reduced hospital resources experienced by patient weekend admissions, a phenomenon termed “weekend eff...

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Autores principales: Do, Albert, Ilagan‐Ying, Ysabel C., Taddei, Tamar H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7060892/
https://www.ncbi.nlm.nih.gov/pubmed/32166187
http://dx.doi.org/10.1002/hsr2.139
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author Do, Albert
Ilagan‐Ying, Ysabel C.
Taddei, Tamar H.
author_facet Do, Albert
Ilagan‐Ying, Ysabel C.
Taddei, Tamar H.
author_sort Do, Albert
collection PubMed
description BACKGROUND AND AIMS: Severe acute liver injury (ALI) can lead to poor outcomes without timely management. Comparatively worse outcomes in various severe, emergent conditions have been attributed to reduced hospital resources experienced by patient weekend admissions, a phenomenon termed “weekend effect.” To date, a weekend effect has not been studied in severe ALI, an emergency also necessitating timely management. We aimed to evaluate such an effect in this condition by analyzing a large national inpatient database in the United States. METHODS: We analyzed the Nationwide/National Inpatient Sample (NIS) 2000 to 2014, the largest inpatient, all‐payer database in the United States (US), containing sociodemographic, clinical, patient‐, and hospital‐level data. We identified severe ALI using International Classification of Disease, 9(th) Revision diagnosis codes for acute/subacute hepatic necrosis (570) with encephalopathy (572.2). Our primary outcome was in‐hospital mortality. Using a full‐model approach for covariate selection, we performed multiple logistic regression modeling to assess for weekend effect and identify predictors of in‐hospital mortality. RESULTS: We identified 15 762 eligible hospitalizations, with 12 182 (77.3%) having complete covariate data. This sample comprised 53.3% males, 69.3% White race, and had an average (± SD) age of 55.0 ± 14.1 years. We utilized a full‐model approach for covariate inclusion but did not include patient transfer data due to limited availability. We observed no significant mortality differences in weekend admissions (OR = 1.06, 95% CI: 0.97‐1.15, P = 0.02). However, significantly higher mortality was associated with male sex, older age, Black or Hispanic race, Northeast US hospitalization, urban teaching status, and larger hospital size. Sensitivity analyses using multiple imputation datasets and transfer covariates did not change our results. CONCLUSION: We did not observe a weekend effect of in‐hospital mortality for weekend admissions for severe ALI, but our overall diagnosis ascertainment yield was low—indicating that lack of accurate documentation for the etiology of severe ALI may be masking an effect. Additionally, our findings suggest that racial differences and hospital‐level characteristics in the context of severe ALI may be associated with varying outcomes, regardless of admission day, which warrants further research.
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spelling pubmed-70608922020-03-12 Analysis of weekend effect in severe acute liver injury: A nationwide database study Do, Albert Ilagan‐Ying, Ysabel C. Taddei, Tamar H. Health Sci Rep Research Articles BACKGROUND AND AIMS: Severe acute liver injury (ALI) can lead to poor outcomes without timely management. Comparatively worse outcomes in various severe, emergent conditions have been attributed to reduced hospital resources experienced by patient weekend admissions, a phenomenon termed “weekend effect.” To date, a weekend effect has not been studied in severe ALI, an emergency also necessitating timely management. We aimed to evaluate such an effect in this condition by analyzing a large national inpatient database in the United States. METHODS: We analyzed the Nationwide/National Inpatient Sample (NIS) 2000 to 2014, the largest inpatient, all‐payer database in the United States (US), containing sociodemographic, clinical, patient‐, and hospital‐level data. We identified severe ALI using International Classification of Disease, 9(th) Revision diagnosis codes for acute/subacute hepatic necrosis (570) with encephalopathy (572.2). Our primary outcome was in‐hospital mortality. Using a full‐model approach for covariate selection, we performed multiple logistic regression modeling to assess for weekend effect and identify predictors of in‐hospital mortality. RESULTS: We identified 15 762 eligible hospitalizations, with 12 182 (77.3%) having complete covariate data. This sample comprised 53.3% males, 69.3% White race, and had an average (± SD) age of 55.0 ± 14.1 years. We utilized a full‐model approach for covariate inclusion but did not include patient transfer data due to limited availability. We observed no significant mortality differences in weekend admissions (OR = 1.06, 95% CI: 0.97‐1.15, P = 0.02). However, significantly higher mortality was associated with male sex, older age, Black or Hispanic race, Northeast US hospitalization, urban teaching status, and larger hospital size. Sensitivity analyses using multiple imputation datasets and transfer covariates did not change our results. CONCLUSION: We did not observe a weekend effect of in‐hospital mortality for weekend admissions for severe ALI, but our overall diagnosis ascertainment yield was low—indicating that lack of accurate documentation for the etiology of severe ALI may be masking an effect. Additionally, our findings suggest that racial differences and hospital‐level characteristics in the context of severe ALI may be associated with varying outcomes, regardless of admission day, which warrants further research. John Wiley and Sons Inc. 2019-11-22 /pmc/articles/PMC7060892/ /pubmed/32166187 http://dx.doi.org/10.1002/hsr2.139 Text en © 2019 The Authors. Health Science Reports published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Do, Albert
Ilagan‐Ying, Ysabel C.
Taddei, Tamar H.
Analysis of weekend effect in severe acute liver injury: A nationwide database study
title Analysis of weekend effect in severe acute liver injury: A nationwide database study
title_full Analysis of weekend effect in severe acute liver injury: A nationwide database study
title_fullStr Analysis of weekend effect in severe acute liver injury: A nationwide database study
title_full_unstemmed Analysis of weekend effect in severe acute liver injury: A nationwide database study
title_short Analysis of weekend effect in severe acute liver injury: A nationwide database study
title_sort analysis of weekend effect in severe acute liver injury: a nationwide database study
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7060892/
https://www.ncbi.nlm.nih.gov/pubmed/32166187
http://dx.doi.org/10.1002/hsr2.139
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