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Clinical prediction score for prolonged length of hospital stay in aneurysmal subarachnoid hemorrhage
BACKGROUND: Length of stay (LOS) is an important indicator of the optimization of health services and hospital financing efficiency in aneurysmal subarachnoid hemorrhage (aSAH) patients. The purpose of this study was to develop a scoring model to predict the LOS of patients with aSAH. METHOD: A clin...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10273541/ https://www.ncbi.nlm.nih.gov/pubmed/37328746 http://dx.doi.org/10.1186/s12883-023-03279-3 |
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author | Prasetyo, Bambang Tri Kurniawan, Ricky Gusanto Rilianto, Beny Windiani, Pratiwi Raissa Gotama, Kelvin Theandro Salam, Sardiana Sari, Ita Muharram Musridharta, Eka Arham, Abrar Kusdiansah, Muhammad Kiemas, Lyna Soertidewi Bustami, Mursyid |
author_facet | Prasetyo, Bambang Tri Kurniawan, Ricky Gusanto Rilianto, Beny Windiani, Pratiwi Raissa Gotama, Kelvin Theandro Salam, Sardiana Sari, Ita Muharram Musridharta, Eka Arham, Abrar Kusdiansah, Muhammad Kiemas, Lyna Soertidewi Bustami, Mursyid |
author_sort | Prasetyo, Bambang Tri |
collection | PubMed |
description | BACKGROUND: Length of stay (LOS) is an important indicator of the optimization of health services and hospital financing efficiency in aneurysmal subarachnoid hemorrhage (aSAH) patients. The purpose of this study was to develop a scoring model to predict the LOS of patients with aSAH. METHOD: A clinical scoring was developed based on retrospectively collected data from the cerebral aneurysm registry of the National Brain Center Hospital, Jakarta, from January 2019 to June 2022. Multivariate logistic regression was used to determine the odds ratio for risk-adjusted prolonged LOS. LOS predictors were obtained based on the regression coefficients and converted into a point score model. RESULTS: Of the 209 aSAH patients observed, 117 patients had prolonged LOS (> 14 days of hospital stay). A clinical score was developed with a range of 0–7 points. Four variables were chosen as predictors of prolonged LOS: the presence of high-grade aSAH (1 point), aneurysm treatment (endovascular coiling: 1 point; surgical clipping: 2 points), cardiovascular comorbidities (1 point), and hospital-acquired pneumonia (3 points). The score showed good discrimination with an area under the receiving operating characteristics curve (AUC) of 0.8183 (SE 0.0278) and a p-value for the Hosmer–Lemeshow (HL) goodness-of-fit of 0.9322. CONCLUSION: This simple clinical score reliably predicted prolonged LOS in aneurysmal subarachnoid hemorrhage cases and may aid clinicians in improving patient outcomes and decreasing healthcare costs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12883-023-03279-3. |
format | Online Article Text |
id | pubmed-10273541 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102735412023-06-17 Clinical prediction score for prolonged length of hospital stay in aneurysmal subarachnoid hemorrhage Prasetyo, Bambang Tri Kurniawan, Ricky Gusanto Rilianto, Beny Windiani, Pratiwi Raissa Gotama, Kelvin Theandro Salam, Sardiana Sari, Ita Muharram Musridharta, Eka Arham, Abrar Kusdiansah, Muhammad Kiemas, Lyna Soertidewi Bustami, Mursyid BMC Neurol Research BACKGROUND: Length of stay (LOS) is an important indicator of the optimization of health services and hospital financing efficiency in aneurysmal subarachnoid hemorrhage (aSAH) patients. The purpose of this study was to develop a scoring model to predict the LOS of patients with aSAH. METHOD: A clinical scoring was developed based on retrospectively collected data from the cerebral aneurysm registry of the National Brain Center Hospital, Jakarta, from January 2019 to June 2022. Multivariate logistic regression was used to determine the odds ratio for risk-adjusted prolonged LOS. LOS predictors were obtained based on the regression coefficients and converted into a point score model. RESULTS: Of the 209 aSAH patients observed, 117 patients had prolonged LOS (> 14 days of hospital stay). A clinical score was developed with a range of 0–7 points. Four variables were chosen as predictors of prolonged LOS: the presence of high-grade aSAH (1 point), aneurysm treatment (endovascular coiling: 1 point; surgical clipping: 2 points), cardiovascular comorbidities (1 point), and hospital-acquired pneumonia (3 points). The score showed good discrimination with an area under the receiving operating characteristics curve (AUC) of 0.8183 (SE 0.0278) and a p-value for the Hosmer–Lemeshow (HL) goodness-of-fit of 0.9322. CONCLUSION: This simple clinical score reliably predicted prolonged LOS in aneurysmal subarachnoid hemorrhage cases and may aid clinicians in improving patient outcomes and decreasing healthcare costs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12883-023-03279-3. BioMed Central 2023-06-16 /pmc/articles/PMC10273541/ /pubmed/37328746 http://dx.doi.org/10.1186/s12883-023-03279-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Prasetyo, Bambang Tri Kurniawan, Ricky Gusanto Rilianto, Beny Windiani, Pratiwi Raissa Gotama, Kelvin Theandro Salam, Sardiana Sari, Ita Muharram Musridharta, Eka Arham, Abrar Kusdiansah, Muhammad Kiemas, Lyna Soertidewi Bustami, Mursyid Clinical prediction score for prolonged length of hospital stay in aneurysmal subarachnoid hemorrhage |
title | Clinical prediction score for prolonged length of hospital stay in aneurysmal subarachnoid hemorrhage |
title_full | Clinical prediction score for prolonged length of hospital stay in aneurysmal subarachnoid hemorrhage |
title_fullStr | Clinical prediction score for prolonged length of hospital stay in aneurysmal subarachnoid hemorrhage |
title_full_unstemmed | Clinical prediction score for prolonged length of hospital stay in aneurysmal subarachnoid hemorrhage |
title_short | Clinical prediction score for prolonged length of hospital stay in aneurysmal subarachnoid hemorrhage |
title_sort | clinical prediction score for prolonged length of hospital stay in aneurysmal subarachnoid hemorrhage |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10273541/ https://www.ncbi.nlm.nih.gov/pubmed/37328746 http://dx.doi.org/10.1186/s12883-023-03279-3 |
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