Long Length of Stay in the Intensive Care Unit (≥90 Days): Retrospective Analysis of Predisposing Factors and Results

Objective:This study aimed to determine factors affecting the duration of stay in the intensive care unit (ICU) by determining the clinical characteristics and results of patients with long ICU stay (≥90 days).Materials and Methods:Data of patients (n=98) hospitalised in the ICU for ≥90 days between...

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Autores principales:	Ökkeş Hakan Miniksar, Hamit Sırrı Keten
Formato:	article
Lenguaje:	EN TR
Publicado:	Galenos Yayinevi 2021
Materias:	intensive care unit length of stay risk factors Medicine R Internal medicine RC31-1245 Medical emergencies. Critical care. Intensive care. First aid RC86-88.9
Acceso en línea:	https://doaj.org/article/0295ffe0c13e4800bbe20db4a0b2ee08
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spelling	oai:doaj.org-article:0295ffe0c13e4800bbe20db4a0b2ee082021-11-23T10:33:41ZLong Length of Stay in the Intensive Care Unit (≥90 Days): Retrospective Analysis of Predisposing Factors and Results2146-64162147-267X10.4274/tybd.galenos.2021.58077https://doaj.org/article/0295ffe0c13e4800bbe20db4a0b2ee082021-12-01T00:00:00Z http://www.turkishjic.org/archives/archive-detail/article-preview/long-length-of-stay-in-the-ntensive-care-unit-90-d/47404 https://doaj.org/toc/2146-6416https://doaj.org/toc/2147-267XObjective:This study aimed to determine factors affecting the duration of stay in the intensive care unit (ICU) by determining the clinical characteristics and results of patients with long ICU stay (≥90 days).Materials and Methods:Data of patients (n=98) hospitalised in the ICU for ≥90 days between January 2015 and December 2018 were retrospectively analysed. Clinical characteristics, results, advanced treatments and procedures, electrolyte disturbances and infection characteristics were recorded together with the demographic data of the patients. The predictors affecting the length of ICU stay were determined using the regression model.Results:The mean patient age was 70.10±18.55 years, and the mortality rate was 77.6%. The mean length of ICU stay was significantly higher in patients who underwent tracheostomy and endoscopic gastrostomy (p<0.001). The most common infections were ventilator-associated pneumonia (41.82%) and blood stream infections (31.67%). Acute Pysiology and Chronic Health Evaluation-II (APACHE-II) score, mechanical ventilator time, number of blood transfusions and hypomagnesaemia were determined as predictors affecting long ICU stay on the multivariate regression model.Conclusion:In patients with a long ICU stay (≥90 days), high APACHE-II score, long mechanical ventilation duration, number of blood transfusions and hypomagnesaemia were determined to be independent risk factors for long ICU stay. More comprehensive research is required to show the potential effects of these predictors.Ökkeş Hakan MiniksarHamit Sırrı KetenGalenos Yayineviarticleintensive care unitlength of stayrisk factorsMedicineRInternal medicineRC31-1245Medical emergencies. Critical care. Intensive care. First aidRC86-88.9ENTRTürk Yoğun Bakim Derneği Dergisi, Vol 19, Iss 4, Pp 184-191 (2021)
institution	DOAJ
collection	DOAJ
language	EN TR
topic	intensive care unit length of stay risk factors Medicine R Internal medicine RC31-1245 Medical emergencies. Critical care. Intensive care. First aid RC86-88.9
spellingShingle	intensive care unit length of stay risk factors Medicine R Internal medicine RC31-1245 Medical emergencies. Critical care. Intensive care. First aid RC86-88.9 Ökkeş Hakan Miniksar Hamit Sırrı Keten Long Length of Stay in the Intensive Care Unit (≥90 Days): Retrospective Analysis of Predisposing Factors and Results
description	Objective:This study aimed to determine factors affecting the duration of stay in the intensive care unit (ICU) by determining the clinical characteristics and results of patients with long ICU stay (≥90 days).Materials and Methods:Data of patients (n=98) hospitalised in the ICU for ≥90 days between January 2015 and December 2018 were retrospectively analysed. Clinical characteristics, results, advanced treatments and procedures, electrolyte disturbances and infection characteristics were recorded together with the demographic data of the patients. The predictors affecting the length of ICU stay were determined using the regression model.Results:The mean patient age was 70.10±18.55 years, and the mortality rate was 77.6%. The mean length of ICU stay was significantly higher in patients who underwent tracheostomy and endoscopic gastrostomy (p<0.001). The most common infections were ventilator-associated pneumonia (41.82%) and blood stream infections (31.67%). Acute Pysiology and Chronic Health Evaluation-II (APACHE-II) score, mechanical ventilator time, number of blood transfusions and hypomagnesaemia were determined as predictors affecting long ICU stay on the multivariate regression model.Conclusion:In patients with a long ICU stay (≥90 days), high APACHE-II score, long mechanical ventilation duration, number of blood transfusions and hypomagnesaemia were determined to be independent risk factors for long ICU stay. More comprehensive research is required to show the potential effects of these predictors.
format	article
author	Ökkeş Hakan Miniksar Hamit Sırrı Keten
author_facet	Ökkeş Hakan Miniksar Hamit Sırrı Keten
author_sort	Ökkeş Hakan Miniksar
title	Long Length of Stay in the Intensive Care Unit (≥90 Days): Retrospective Analysis of Predisposing Factors and Results
title_short	Long Length of Stay in the Intensive Care Unit (≥90 Days): Retrospective Analysis of Predisposing Factors and Results
title_full	Long Length of Stay in the Intensive Care Unit (≥90 Days): Retrospective Analysis of Predisposing Factors and Results
title_fullStr	Long Length of Stay in the Intensive Care Unit (≥90 Days): Retrospective Analysis of Predisposing Factors and Results
title_full_unstemmed	Long Length of Stay in the Intensive Care Unit (≥90 Days): Retrospective Analysis of Predisposing Factors and Results
title_sort	long length of stay in the intensive care unit (≥90 days): retrospective analysis of predisposing factors and results
publisher	Galenos Yayinevi
publishDate	2021
url	https://doaj.org/article/0295ffe0c13e4800bbe20db4a0b2ee08
work_keys_str_mv	AT okkeshakanminiksar longlengthofstayintheintensivecareunit90daysretrospectiveanalysisofpredisposingfactorsandresults AT hamitsırrıketen longlengthofstayintheintensivecareunit90daysretrospectiveanalysisofpredisposingfactorsandresults
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Long Length of Stay in the Intensive Care Unit (≥90 Days): Retrospective Analysis of Predisposing Factors and Results

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