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Red cell distribution width predicts out of hospital outcomes in critically ill emergency general surgery patients

INTRODUCTION: Red cell distribution width (RDW) is associated with mortality and bloodstream infection risk in critically ill patients. We hypothesized that an increase in RDW at hospital discharge in critically ill patients who received emergency general surgery (EGS) would be associated with incre...

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Autores principales: Havens, Joaquim Michael, Seshadri, Anupamaa J, Salim, Ali, Christopher, Kenneth B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5931307/
https://www.ncbi.nlm.nih.gov/pubmed/29766132
http://dx.doi.org/10.1136/tsaco-2017-000147
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author Havens, Joaquim Michael
Seshadri, Anupamaa J
Salim, Ali
Christopher, Kenneth B
author_facet Havens, Joaquim Michael
Seshadri, Anupamaa J
Salim, Ali
Christopher, Kenneth B
author_sort Havens, Joaquim Michael
collection PubMed
description INTRODUCTION: Red cell distribution width (RDW) is associated with mortality and bloodstream infection risk in critically ill patients. We hypothesized that an increase in RDW at hospital discharge in critically ill patients who received emergency general surgery (EGS) would be associated with increased mortality after hospital discharge. METHODS: We performed a two-center observational study of patients treated in medical and surgical intensive care units. We studied 1567 patients, who received critical care between 1998 and 2012 who underwent EGS and survived hospitalization. The exposure of interest was RDW within 24 hours of hospital discharge and categorized a priori in quintiles as ≤13.3%, 13.3% to 14.0%, 14.0% to 14.7%, 14.7% to 15.8%, 15.8% to 17.0% and >17.0%. The primary outcome was 90-day all-cause mortality. Adjusted ORs were estimated by multivariable logistic regression models with inclusion of covariate terms for age, race, gender, Deyo-Charlson Index, sepsis and number of organs with acute failure. RESULTS: The cohort patients were 51.4% male and 23.2% non-white. 23.9% had sepsis and the mean age was 58 years. 90-day postdischarge mortality was 6.8%. Patients with a discharge RDW 15.8% to 17.0% or RDW >17.0% have an adjusted OR of 90-day postdischarge mortality of 3.64 (95% CI 1.04 to 12.68; p=0.043) or 4.58 (95% CI 1.32 to 15.93; p=0.02), respectively, relative to patients with a discharge RDW ≤13.3%. Further, patients with a discharge RDW ≥15.8 have an adjusted OR of 30-day hospital readmission of 2.12 (95% CI 1.17 to 3.83; p=0.013) relative to patients with a discharge RDW ≤13.3%. CONCLUSIONS: In EGS patients requiring critical care who survive hospitalization, an elevated RDW at the time of discharge is a robust predictor of all-cause patient mortality and hospital readmission after discharge. LEVEL OF EVIDENCE: Level II, prognostic retrospective study.
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spelling pubmed-59313072018-05-14 Red cell distribution width predicts out of hospital outcomes in critically ill emergency general surgery patients Havens, Joaquim Michael Seshadri, Anupamaa J Salim, Ali Christopher, Kenneth B Trauma Surg Acute Care Open Original Article INTRODUCTION: Red cell distribution width (RDW) is associated with mortality and bloodstream infection risk in critically ill patients. We hypothesized that an increase in RDW at hospital discharge in critically ill patients who received emergency general surgery (EGS) would be associated with increased mortality after hospital discharge. METHODS: We performed a two-center observational study of patients treated in medical and surgical intensive care units. We studied 1567 patients, who received critical care between 1998 and 2012 who underwent EGS and survived hospitalization. The exposure of interest was RDW within 24 hours of hospital discharge and categorized a priori in quintiles as ≤13.3%, 13.3% to 14.0%, 14.0% to 14.7%, 14.7% to 15.8%, 15.8% to 17.0% and >17.0%. The primary outcome was 90-day all-cause mortality. Adjusted ORs were estimated by multivariable logistic regression models with inclusion of covariate terms for age, race, gender, Deyo-Charlson Index, sepsis and number of organs with acute failure. RESULTS: The cohort patients were 51.4% male and 23.2% non-white. 23.9% had sepsis and the mean age was 58 years. 90-day postdischarge mortality was 6.8%. Patients with a discharge RDW 15.8% to 17.0% or RDW >17.0% have an adjusted OR of 90-day postdischarge mortality of 3.64 (95% CI 1.04 to 12.68; p=0.043) or 4.58 (95% CI 1.32 to 15.93; p=0.02), respectively, relative to patients with a discharge RDW ≤13.3%. Further, patients with a discharge RDW ≥15.8 have an adjusted OR of 30-day hospital readmission of 2.12 (95% CI 1.17 to 3.83; p=0.013) relative to patients with a discharge RDW ≤13.3%. CONCLUSIONS: In EGS patients requiring critical care who survive hospitalization, an elevated RDW at the time of discharge is a robust predictor of all-cause patient mortality and hospital readmission after discharge. LEVEL OF EVIDENCE: Level II, prognostic retrospective study. BMJ Publishing Group 2018-04-25 /pmc/articles/PMC5931307/ /pubmed/29766132 http://dx.doi.org/10.1136/tsaco-2017-000147 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Original Article
Havens, Joaquim Michael
Seshadri, Anupamaa J
Salim, Ali
Christopher, Kenneth B
Red cell distribution width predicts out of hospital outcomes in critically ill emergency general surgery patients
title Red cell distribution width predicts out of hospital outcomes in critically ill emergency general surgery patients
title_full Red cell distribution width predicts out of hospital outcomes in critically ill emergency general surgery patients
title_fullStr Red cell distribution width predicts out of hospital outcomes in critically ill emergency general surgery patients
title_full_unstemmed Red cell distribution width predicts out of hospital outcomes in critically ill emergency general surgery patients
title_short Red cell distribution width predicts out of hospital outcomes in critically ill emergency general surgery patients
title_sort red cell distribution width predicts out of hospital outcomes in critically ill emergency general surgery patients
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5931307/
https://www.ncbi.nlm.nih.gov/pubmed/29766132
http://dx.doi.org/10.1136/tsaco-2017-000147
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