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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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 |
work_keys_str_mv |
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