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Albumin–Globulin Ratio Is an Independent Determinant of 28-Day Mortality in Patients with Critical Illness

BACKGROUND: Critical illness in the intensive care unit (ICU) has been a global health priority. Systemic nutritional status has turned out to be related to the prognosis of critically ill patients. The albumin-globulin ratio (AGR) has been reported to be a novel prognostic factor of many diseases....

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Autores principales: Liu, Bin, Xiao, Kun, Yan, Peng, Sun, Tianyu, Wang, Jiang, Xie, Fei, Mo, Guoxin, Xie, Lixin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8413056/
https://www.ncbi.nlm.nih.gov/pubmed/34484470
http://dx.doi.org/10.1155/2021/9965124
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author Liu, Bin
Xiao, Kun
Yan, Peng
Sun, Tianyu
Wang, Jiang
Xie, Fei
Mo, Guoxin
Xie, Lixin
author_facet Liu, Bin
Xiao, Kun
Yan, Peng
Sun, Tianyu
Wang, Jiang
Xie, Fei
Mo, Guoxin
Xie, Lixin
author_sort Liu, Bin
collection PubMed
description BACKGROUND: Critical illness in the intensive care unit (ICU) has been a global health priority. Systemic nutritional status has turned out to be related to the prognosis of critically ill patients. The albumin-globulin ratio (AGR) has been reported to be a novel prognostic factor of many diseases. This study is aimed at investigating whether the AGR could predict the mortality risk in critically ill patients. METHODS: We enrolled 582 adult patients admitted to the respiratory intensive care unit (RICU). We collected the clinical and laboratory data. X-tile software was used to determine the optimal cut-off values for the AGR. Patients were divided into three groups according to the AGR (low AGR group with AGR < 0.8, medium AGR group with AGR ranging from 0.8 to 1.1, and high AGR group with AGR > 1.1). Kaplan-Meier analysis was used for survival analysis. A Cox proportional hazard model was applied to the univariate and multivariate analyses for the potential predictors associated with survival. RESULTS: Our present study showed that the AGR was related to the 28-day survival of critically ill patients in the RICU. The rate of pneumonia in the low AGR group was significantly higher than that in the other groups. Patients with a lower AGR present an increased risk of 28-day mortality compared to patients with a higher AGR. Cox regression analysis showed that the AGR might be an independent predictor of prognosis to 28-day survival in critically ill patients in the RICU. Medium and high AGR values remained independently associated with better 28-day survival than low AGR values (HR: 0.484 (0.263-0.892) (p = 0.02); HR: 0.332 (0.166-0.665) (p = 0.002)). CONCLUSION: The AGR might be an independent predictor of prognosis in critically ill patients.
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spelling pubmed-84130562021-09-03 Albumin–Globulin Ratio Is an Independent Determinant of 28-Day Mortality in Patients with Critical Illness Liu, Bin Xiao, Kun Yan, Peng Sun, Tianyu Wang, Jiang Xie, Fei Mo, Guoxin Xie, Lixin Dis Markers Research Article BACKGROUND: Critical illness in the intensive care unit (ICU) has been a global health priority. Systemic nutritional status has turned out to be related to the prognosis of critically ill patients. The albumin-globulin ratio (AGR) has been reported to be a novel prognostic factor of many diseases. This study is aimed at investigating whether the AGR could predict the mortality risk in critically ill patients. METHODS: We enrolled 582 adult patients admitted to the respiratory intensive care unit (RICU). We collected the clinical and laboratory data. X-tile software was used to determine the optimal cut-off values for the AGR. Patients were divided into three groups according to the AGR (low AGR group with AGR < 0.8, medium AGR group with AGR ranging from 0.8 to 1.1, and high AGR group with AGR > 1.1). Kaplan-Meier analysis was used for survival analysis. A Cox proportional hazard model was applied to the univariate and multivariate analyses for the potential predictors associated with survival. RESULTS: Our present study showed that the AGR was related to the 28-day survival of critically ill patients in the RICU. The rate of pneumonia in the low AGR group was significantly higher than that in the other groups. Patients with a lower AGR present an increased risk of 28-day mortality compared to patients with a higher AGR. Cox regression analysis showed that the AGR might be an independent predictor of prognosis to 28-day survival in critically ill patients in the RICU. Medium and high AGR values remained independently associated with better 28-day survival than low AGR values (HR: 0.484 (0.263-0.892) (p = 0.02); HR: 0.332 (0.166-0.665) (p = 0.002)). CONCLUSION: The AGR might be an independent predictor of prognosis in critically ill patients. Hindawi 2021-08-25 /pmc/articles/PMC8413056/ /pubmed/34484470 http://dx.doi.org/10.1155/2021/9965124 Text en Copyright © 2021 Bin Liu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Liu, Bin
Xiao, Kun
Yan, Peng
Sun, Tianyu
Wang, Jiang
Xie, Fei
Mo, Guoxin
Xie, Lixin
Albumin–Globulin Ratio Is an Independent Determinant of 28-Day Mortality in Patients with Critical Illness
title Albumin–Globulin Ratio Is an Independent Determinant of 28-Day Mortality in Patients with Critical Illness
title_full Albumin–Globulin Ratio Is an Independent Determinant of 28-Day Mortality in Patients with Critical Illness
title_fullStr Albumin–Globulin Ratio Is an Independent Determinant of 28-Day Mortality in Patients with Critical Illness
title_full_unstemmed Albumin–Globulin Ratio Is an Independent Determinant of 28-Day Mortality in Patients with Critical Illness
title_short Albumin–Globulin Ratio Is an Independent Determinant of 28-Day Mortality in Patients with Critical Illness
title_sort albumin–globulin ratio is an independent determinant of 28-day mortality in patients with critical illness
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8413056/
https://www.ncbi.nlm.nih.gov/pubmed/34484470
http://dx.doi.org/10.1155/2021/9965124
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