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Performance of Three Prognostic Models in Patients with Cancer in Need of Intensive Care in a Medical Center in China

OBJECTIVE: The aim of this study was to evaluate the performance of Acute Physiology and Chronic Health Evaluation II (APACHE II), Simplified Acute Physiology Score 3 (SAPS 3), and Acute Physiology and Chronic Health Evaluation IV (APACHE IV) in patients with cancer admitted to intensive care unit (...

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Autores principales: Xing, XueZhong, Gao, Yong, Wang, HaiJun, Huang, ChuLin, Qu, ShiNing, Zhang, Hao, Wang, Hao, Sun, KeLin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482430/
https://www.ncbi.nlm.nih.gov/pubmed/26110534
http://dx.doi.org/10.1371/journal.pone.0131329
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author Xing, XueZhong
Gao, Yong
Wang, HaiJun
Huang, ChuLin
Qu, ShiNing
Zhang, Hao
Wang, Hao
Sun, KeLin
author_facet Xing, XueZhong
Gao, Yong
Wang, HaiJun
Huang, ChuLin
Qu, ShiNing
Zhang, Hao
Wang, Hao
Sun, KeLin
author_sort Xing, XueZhong
collection PubMed
description OBJECTIVE: The aim of this study was to evaluate the performance of Acute Physiology and Chronic Health Evaluation II (APACHE II), Simplified Acute Physiology Score 3 (SAPS 3), and Acute Physiology and Chronic Health Evaluation IV (APACHE IV) in patients with cancer admitted to intensive care unit (ICU) in a single medical center in China. MATERIALS AND METHODS: This is a retrospective observational cohort study including nine hundred and eighty one consecutive patients over a 2-year period. RESULTS: The hospital mortality rate was 4.5%. When all 981 patients were evaluated, the area under the receiver operating characteristic curve (AUROC, 95% Confidential Intervals) of the three models in predicting hospital mortality were 0.948 (0.914–0.982), 0.863 (0.804–0.923), and 0.873 (0.813–0.934) for SAPS 3, APACHE II and APACHE IV respectively. The p values of Hosmer-Lemeshow statistics for the models were 0.759, 0.900 and 0.878 for SAPS 3, APACHE II and APACHE IV respectively. However, SAPS 3 and APACHE IV underestimated the in-hospital mortality with standardized mortality ratio (SMR) of 1.5 and 1.17 respectively, while APACHE II overestimated the in-hospital mortality with SMR of 0.72. Further analysis showed that discrimination power was better with SAPS 3 than with APACHE II and APACHE IV whether for emergency surgical and medical patients (AUROC of 0.912 vs 0.866 and 0.857) or for scheduled surgical patients (AUROC of 0.945 vs 0.834 and 0.851). Calibration was good for all models (all p > 0.05) whether for scheduled surgical patients or emergency surgical and medical patients. However, in terms of SMR, SAPS 3 was both accurate in predicting the in-hospital mortality for emergency surgical and medical patients and for scheduled surgical patients, while APACHE IV and APACHE II were not. CONCLUSION: In this cohort, we found that APACHE II, APACHE IV and SAPS 3 models had good discrimination and calibration ability in predicting in-hospital mortality of critically ill patients with cancer in need of intensive care. Of these three severity scores, SAPS 3 was superior to APACHE II and APACHE IV, whether in terms of discrimination and calibration power, or standardized mortality ratios.
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spelling pubmed-44824302015-07-01 Performance of Three Prognostic Models in Patients with Cancer in Need of Intensive Care in a Medical Center in China Xing, XueZhong Gao, Yong Wang, HaiJun Huang, ChuLin Qu, ShiNing Zhang, Hao Wang, Hao Sun, KeLin PLoS One Research Article OBJECTIVE: The aim of this study was to evaluate the performance of Acute Physiology and Chronic Health Evaluation II (APACHE II), Simplified Acute Physiology Score 3 (SAPS 3), and Acute Physiology and Chronic Health Evaluation IV (APACHE IV) in patients with cancer admitted to intensive care unit (ICU) in a single medical center in China. MATERIALS AND METHODS: This is a retrospective observational cohort study including nine hundred and eighty one consecutive patients over a 2-year period. RESULTS: The hospital mortality rate was 4.5%. When all 981 patients were evaluated, the area under the receiver operating characteristic curve (AUROC, 95% Confidential Intervals) of the three models in predicting hospital mortality were 0.948 (0.914–0.982), 0.863 (0.804–0.923), and 0.873 (0.813–0.934) for SAPS 3, APACHE II and APACHE IV respectively. The p values of Hosmer-Lemeshow statistics for the models were 0.759, 0.900 and 0.878 for SAPS 3, APACHE II and APACHE IV respectively. However, SAPS 3 and APACHE IV underestimated the in-hospital mortality with standardized mortality ratio (SMR) of 1.5 and 1.17 respectively, while APACHE II overestimated the in-hospital mortality with SMR of 0.72. Further analysis showed that discrimination power was better with SAPS 3 than with APACHE II and APACHE IV whether for emergency surgical and medical patients (AUROC of 0.912 vs 0.866 and 0.857) or for scheduled surgical patients (AUROC of 0.945 vs 0.834 and 0.851). Calibration was good for all models (all p > 0.05) whether for scheduled surgical patients or emergency surgical and medical patients. However, in terms of SMR, SAPS 3 was both accurate in predicting the in-hospital mortality for emergency surgical and medical patients and for scheduled surgical patients, while APACHE IV and APACHE II were not. CONCLUSION: In this cohort, we found that APACHE II, APACHE IV and SAPS 3 models had good discrimination and calibration ability in predicting in-hospital mortality of critically ill patients with cancer in need of intensive care. Of these three severity scores, SAPS 3 was superior to APACHE II and APACHE IV, whether in terms of discrimination and calibration power, or standardized mortality ratios. Public Library of Science 2015-06-25 /pmc/articles/PMC4482430/ /pubmed/26110534 http://dx.doi.org/10.1371/journal.pone.0131329 Text en © 2015 Xing et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Xing, XueZhong
Gao, Yong
Wang, HaiJun
Huang, ChuLin
Qu, ShiNing
Zhang, Hao
Wang, Hao
Sun, KeLin
Performance of Three Prognostic Models in Patients with Cancer in Need of Intensive Care in a Medical Center in China
title Performance of Three Prognostic Models in Patients with Cancer in Need of Intensive Care in a Medical Center in China
title_full Performance of Three Prognostic Models in Patients with Cancer in Need of Intensive Care in a Medical Center in China
title_fullStr Performance of Three Prognostic Models in Patients with Cancer in Need of Intensive Care in a Medical Center in China
title_full_unstemmed Performance of Three Prognostic Models in Patients with Cancer in Need of Intensive Care in a Medical Center in China
title_short Performance of Three Prognostic Models in Patients with Cancer in Need of Intensive Care in a Medical Center in China
title_sort performance of three prognostic models in patients with cancer in need of intensive care in a medical center in china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482430/
https://www.ncbi.nlm.nih.gov/pubmed/26110534
http://dx.doi.org/10.1371/journal.pone.0131329
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