Cargando…

Mortality Predictors and Associated Factors in Patients in the Intensive Care Unit: A Cross-Sectional Study

BACKGROUND: Mortality in the intensive care unit (ICU) has been associated to an array of risk factors. Identification of risk factors potentially contribute to predict and reduce mortality rates in the ICU. The objectives of the study were to determine the prevalence and the factors associated with...

Descripción completa

Detalles Bibliográficos
Autores principales: Soares Pinheiro, Fernanda G. de M., Santana Santos, Eduesley, Barreto, Íkaro Daniel de C., Weiss, Carleara, Vaez, Andreia C., Oliveira, Jussiely C., Melo, Matheus S., Silva, Francilene A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416226/
https://www.ncbi.nlm.nih.gov/pubmed/32802502
http://dx.doi.org/10.1155/2020/1483827
_version_ 1783569283754754048
author Soares Pinheiro, Fernanda G. de M.
Santana Santos, Eduesley
Barreto, Íkaro Daniel de C.
Weiss, Carleara
Vaez, Andreia C.
Oliveira, Jussiely C.
Melo, Matheus S.
Silva, Francilene A.
author_facet Soares Pinheiro, Fernanda G. de M.
Santana Santos, Eduesley
Barreto, Íkaro Daniel de C.
Weiss, Carleara
Vaez, Andreia C.
Oliveira, Jussiely C.
Melo, Matheus S.
Silva, Francilene A.
author_sort Soares Pinheiro, Fernanda G. de M.
collection PubMed
description BACKGROUND: Mortality in the intensive care unit (ICU) has been associated to an array of risk factors. Identification of risk factors potentially contribute to predict and reduce mortality rates in the ICU. The objectives of the study were to determine the prevalence and the factors associated with the mortality and to analyze the survival. METHOD: A cross-sectional study conducted in two clinical and surgical ICU in the state of Sergipe, northeastern Brazil. We enrolled 316 patients with at least 48 h of hospitalization, minimum age of 18 years old, sedated or weaned, with RASS ≥ −3, between July 2017 and April 2018. We categorized data in (1) age and gender, (2) clinical condition, and (3) prevalence of delirium. Data from enrolled patients were collected from enrollment until death or ICU discharge. Patients' outcomes were categorized in (1) death and (2) nondeath (discharge). RESULTS: Twenty-one percent of participants died. Age (53 ± 17 years vs. 45 ± 18 years, p < 0.01), electrolyte disturbance (30.3% vs 18.1%, p=0.029), glycemic index (33.3% vs 18.2%, p=0.008), tube feeding (83.3% vs 67.1%, p=0.01), mechanical ventilation (50% vs 35.7%, p=0.035), sedation with fentanyl (24.2 vs 13.6, p=0.035), use of insulin (33.8% vs 21.7%, p=0.042), and higher Charlson score (2.61 vs 2.17, p=0.041) were significantly associated with death on the adjusted model. However, the regression model indicated that patients admitted from the emergency (HR = 0.40, p=0.006) and glycemic index alterations (HR = 1.68, p=0.047) were associated with mortality. There was no statistically significant difference (p=0.540) in survival between patients with and without delirium, based on the survival analysis and length of hospitalization. CONCLUSION: The prevalence of death was 21%, and age, electrolyte disturbance, glycemic index, tube feeding, mechanical ventilation, sedation with fentanyl, use of insulin, and higher Charlson score were associated with mortality.
format Online
Article
Text
id pubmed-7416226
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-74162262020-08-14 Mortality Predictors and Associated Factors in Patients in the Intensive Care Unit: A Cross-Sectional Study Soares Pinheiro, Fernanda G. de M. Santana Santos, Eduesley Barreto, Íkaro Daniel de C. Weiss, Carleara Vaez, Andreia C. Oliveira, Jussiely C. Melo, Matheus S. Silva, Francilene A. Crit Care Res Pract Research Article BACKGROUND: Mortality in the intensive care unit (ICU) has been associated to an array of risk factors. Identification of risk factors potentially contribute to predict and reduce mortality rates in the ICU. The objectives of the study were to determine the prevalence and the factors associated with the mortality and to analyze the survival. METHOD: A cross-sectional study conducted in two clinical and surgical ICU in the state of Sergipe, northeastern Brazil. We enrolled 316 patients with at least 48 h of hospitalization, minimum age of 18 years old, sedated or weaned, with RASS ≥ −3, between July 2017 and April 2018. We categorized data in (1) age and gender, (2) clinical condition, and (3) prevalence of delirium. Data from enrolled patients were collected from enrollment until death or ICU discharge. Patients' outcomes were categorized in (1) death and (2) nondeath (discharge). RESULTS: Twenty-one percent of participants died. Age (53 ± 17 years vs. 45 ± 18 years, p < 0.01), electrolyte disturbance (30.3% vs 18.1%, p=0.029), glycemic index (33.3% vs 18.2%, p=0.008), tube feeding (83.3% vs 67.1%, p=0.01), mechanical ventilation (50% vs 35.7%, p=0.035), sedation with fentanyl (24.2 vs 13.6, p=0.035), use of insulin (33.8% vs 21.7%, p=0.042), and higher Charlson score (2.61 vs 2.17, p=0.041) were significantly associated with death on the adjusted model. However, the regression model indicated that patients admitted from the emergency (HR = 0.40, p=0.006) and glycemic index alterations (HR = 1.68, p=0.047) were associated with mortality. There was no statistically significant difference (p=0.540) in survival between patients with and without delirium, based on the survival analysis and length of hospitalization. CONCLUSION: The prevalence of death was 21%, and age, electrolyte disturbance, glycemic index, tube feeding, mechanical ventilation, sedation with fentanyl, use of insulin, and higher Charlson score were associated with mortality. Hindawi 2020-08-01 /pmc/articles/PMC7416226/ /pubmed/32802502 http://dx.doi.org/10.1155/2020/1483827 Text en Copyright © 2020 Fernanda G. de M. Soares Pinheiro et al. http://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
Soares Pinheiro, Fernanda G. de M.
Santana Santos, Eduesley
Barreto, Íkaro Daniel de C.
Weiss, Carleara
Vaez, Andreia C.
Oliveira, Jussiely C.
Melo, Matheus S.
Silva, Francilene A.
Mortality Predictors and Associated Factors in Patients in the Intensive Care Unit: A Cross-Sectional Study
title Mortality Predictors and Associated Factors in Patients in the Intensive Care Unit: A Cross-Sectional Study
title_full Mortality Predictors and Associated Factors in Patients in the Intensive Care Unit: A Cross-Sectional Study
title_fullStr Mortality Predictors and Associated Factors in Patients in the Intensive Care Unit: A Cross-Sectional Study
title_full_unstemmed Mortality Predictors and Associated Factors in Patients in the Intensive Care Unit: A Cross-Sectional Study
title_short Mortality Predictors and Associated Factors in Patients in the Intensive Care Unit: A Cross-Sectional Study
title_sort mortality predictors and associated factors in patients in the intensive care unit: a cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416226/
https://www.ncbi.nlm.nih.gov/pubmed/32802502
http://dx.doi.org/10.1155/2020/1483827
work_keys_str_mv AT soarespinheirofernandagdem mortalitypredictorsandassociatedfactorsinpatientsintheintensivecareunitacrosssectionalstudy
AT santanasantoseduesley mortalitypredictorsandassociatedfactorsinpatientsintheintensivecareunitacrosssectionalstudy
AT barretoikarodanieldec mortalitypredictorsandassociatedfactorsinpatientsintheintensivecareunitacrosssectionalstudy
AT weisscarleara mortalitypredictorsandassociatedfactorsinpatientsintheintensivecareunitacrosssectionalstudy
AT vaezandreiac mortalitypredictorsandassociatedfactorsinpatientsintheintensivecareunitacrosssectionalstudy
AT oliveirajussielyc mortalitypredictorsandassociatedfactorsinpatientsintheintensivecareunitacrosssectionalstudy
AT melomatheuss mortalitypredictorsandassociatedfactorsinpatientsintheintensivecareunitacrosssectionalstudy
AT silvafrancilenea mortalitypredictorsandassociatedfactorsinpatientsintheintensivecareunitacrosssectionalstudy