Parameters Affecting Length of Stay Among Neurosurgical Patients in an Intensive Care Unit

Aim: to determine the predictive factors on the length of stay of neurosurgical patients in the ICU setting. Methods: all patients admitted to the neurosurgical ICU between February 1 and July 31, 2011 were recruited. Patient demographics and clinical data for each variable were collected within 30...

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Main Authors: Phuping Akavipat, Jadsada Thinkhamrop, Bandit Thinkhamrop, Wimonrat Sriraj
Format: Article
Language:English
Published: Interna Publishing 2017-02-01
Series:Acta Medica Indonesiana
Subjects:
pH
Online Access:http://www.actamedindones.org/index.php/ijim/article/view/197
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spelling doaj-4b0cb753577e4071848a413b4b77f9602020-11-25T00:37:37ZengInterna PublishingActa Medica Indonesiana0125-93262338-27322017-02-01484275281174Parameters Affecting Length of Stay Among Neurosurgical Patients in an Intensive Care UnitPhuping Akavipat0Jadsada Thinkhamrop1Bandit Thinkhamrop2Wimonrat Sriraj3Anesthesiology Department, Prasat Neurological Institute, Bangkok, ThailandDepartment of Obstetrics and Gynecology, Faculty of Medicine, Khon Kaen University, Khon Kaen, ThailandDepartment of Biostatistics and Demography, Faculty of Public Health, Khon Kaen University, Khon Kaen, ThailandDepartment of Anesthesiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, ThailandAim: to determine the predictive factors on the length of stay of neurosurgical patients in the ICU setting. Methods: all patients admitted to the neurosurgical ICU between February 1 and July 31, 2011 were recruited. Patient demographics and clinical data for each variable were collected within 30 minutes of admission. The ICU length of stay was recorded and analyzed by linear regression model with statistical significance at p-value <0.05. Results: there were 276 patients admitted, of whom 89.1% were elective cases. The mean (95% CI) and median (min-max) of ICU length of stay were 2.36 (2.09-2.63) and 2 (1-25) days. The variables associated with ICU length of stay and their percent change (95% CI) were the Glasgow Coma Scale motor subscore (GCSm), 6.72% (-11.20 to -2.01) lower for every 1 point score change; blood pH, 1.16% (0.11 to 2.21) higher for every 0.01 unit change; and emergency admission type, 58.30% (29.16 to 94.0) higher as compared to elective admission. Conclusion: the GCSm, pH and emergency admission were found to be the main predictive variables of neurosurgical patient length of stay in the intensive care unit, however, the model should be further explored in a larger sample size and using subgroup analysis.http://www.actamedindones.org/index.php/ijim/article/view/197Glasgow coma scale scorepHemergency admissionperformanceprediction
collection DOAJ
language English
format Article
sources DOAJ
author Phuping Akavipat
Jadsada Thinkhamrop
Bandit Thinkhamrop
Wimonrat Sriraj
spellingShingle Phuping Akavipat
Jadsada Thinkhamrop
Bandit Thinkhamrop
Wimonrat Sriraj
Parameters Affecting Length of Stay Among Neurosurgical Patients in an Intensive Care Unit
Acta Medica Indonesiana
Glasgow coma scale score
pH
emergency admission
performance
prediction
author_facet Phuping Akavipat
Jadsada Thinkhamrop
Bandit Thinkhamrop
Wimonrat Sriraj
author_sort Phuping Akavipat
title Parameters Affecting Length of Stay Among Neurosurgical Patients in an Intensive Care Unit
title_short Parameters Affecting Length of Stay Among Neurosurgical Patients in an Intensive Care Unit
title_full Parameters Affecting Length of Stay Among Neurosurgical Patients in an Intensive Care Unit
title_fullStr Parameters Affecting Length of Stay Among Neurosurgical Patients in an Intensive Care Unit
title_full_unstemmed Parameters Affecting Length of Stay Among Neurosurgical Patients in an Intensive Care Unit
title_sort parameters affecting length of stay among neurosurgical patients in an intensive care unit
publisher Interna Publishing
series Acta Medica Indonesiana
issn 0125-9326
2338-2732
publishDate 2017-02-01
description Aim: to determine the predictive factors on the length of stay of neurosurgical patients in the ICU setting. Methods: all patients admitted to the neurosurgical ICU between February 1 and July 31, 2011 were recruited. Patient demographics and clinical data for each variable were collected within 30 minutes of admission. The ICU length of stay was recorded and analyzed by linear regression model with statistical significance at p-value <0.05. Results: there were 276 patients admitted, of whom 89.1% were elective cases. The mean (95% CI) and median (min-max) of ICU length of stay were 2.36 (2.09-2.63) and 2 (1-25) days. The variables associated with ICU length of stay and their percent change (95% CI) were the Glasgow Coma Scale motor subscore (GCSm), 6.72% (-11.20 to -2.01) lower for every 1 point score change; blood pH, 1.16% (0.11 to 2.21) higher for every 0.01 unit change; and emergency admission type, 58.30% (29.16 to 94.0) higher as compared to elective admission. Conclusion: the GCSm, pH and emergency admission were found to be the main predictive variables of neurosurgical patient length of stay in the intensive care unit, however, the model should be further explored in a larger sample size and using subgroup analysis.
topic Glasgow coma scale score
pH
emergency admission
performance
prediction
url http://www.actamedindones.org/index.php/ijim/article/view/197
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