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Comparison of clinical scores for predicting stroke-associated pneumonia after intracerebral hemorrhage (ICH): potential tools for personalized care and clinical trials for ICH

BACKGROUND: This study aimed to systematically compare the discrimination and calibration of 5 clinical scores for stroke-associated pneumonia (SAP) after intracerebral hemorrhage (ICH). METHODS: We derived a validation cohort from the Beijing Registration of Intracerebral Hemorrhage. SAP was then d...

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Autores principales: Ji, Ruijun, Liu, Yanfang, Liu, Xinyu, Wang, Linlin, Wang, Dandan, Wang, Wenjuan, Zhang, Runhua, Jiang, Ruixuan, Jia, Jiaokun, Feng, Hao, Ding, Zeyu, Liu, Gaifen, Lu, Jingjing, Ju, Yi, Zhao, Xingquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9073778/
https://www.ncbi.nlm.nih.gov/pubmed/35530955
http://dx.doi.org/10.21037/atm-21-4046
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author Ji, Ruijun
Liu, Yanfang
Liu, Xinyu
Wang, Linlin
Wang, Dandan
Wang, Wenjuan
Zhang, Runhua
Jiang, Ruixuan
Jia, Jiaokun
Feng, Hao
Ding, Zeyu
Liu, Gaifen
Lu, Jingjing
Ju, Yi
Zhao, Xingquan
author_facet Ji, Ruijun
Liu, Yanfang
Liu, Xinyu
Wang, Linlin
Wang, Dandan
Wang, Wenjuan
Zhang, Runhua
Jiang, Ruixuan
Jia, Jiaokun
Feng, Hao
Ding, Zeyu
Liu, Gaifen
Lu, Jingjing
Ju, Yi
Zhao, Xingquan
author_sort Ji, Ruijun
collection PubMed
description BACKGROUND: This study aimed to systematically compare the discrimination and calibration of 5 clinical scores for stroke-associated pneumonia (SAP) after intracerebral hemorrhage (ICH). METHODS: We derived a validation cohort from the Beijing Registration of Intracerebral Hemorrhage. SAP was then diagnosed according to the Center for Disease Control and Prevention’s criteria for hospital-acquired pneumonia. The area under the receiver operating characteristic curve (AUROC) and Hosmer-Lemeshow goodness-of-fit test were used to assess model discrimination and calibration. RESULTS: A total of 1964 patients were enrolled in the study. The mean age was 56.8±14.4 years, and 67.6% were male. The median National Institutes of Health Stroke Scale (NIHSS) score at admission was 11 [interquartile range (IQR), 3–21], while the median length of stay (LOS) was 16 days (IQR, 8–22 days). A total of 575 (29.2%) patients were diagnosed with in-hospital SAP after ICH. The AUROC of the 5 clinical scores ranged from 0.732 to 0.800. In comparing these scores, we found that the ICH-associated pneumonia score-B (ICH-APS-B 0.800; 95% CI: 0.780–0.820; P<0.001) showed a statistically better discrimination than did the other risk models (all P<0.001). Furthermore, all clinical scores performed better in patients with an LOS >72 h. The ICH-APS-B (0.827; 95% CI: 0.806–0.848; P<0.001) still showed statistically better discrimination than did the other risk models in patients with an LOS longer than 72 hours. The Hosmer-Lemeshow test also revealed that the ICH-APS-B. had the largest Cox and Snell R2 result for in-hospital SAP after ICH. CONCLUSIONS: Among the 5 models for predicting SAP after ICH, the ICH-APS-B showed the best predictive performance, suggests it may be a useful tool for implementing the personalized care of patients and conducting clinical trials of SAP after ICH.
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spelling pubmed-90737782022-05-07 Comparison of clinical scores for predicting stroke-associated pneumonia after intracerebral hemorrhage (ICH): potential tools for personalized care and clinical trials for ICH Ji, Ruijun Liu, Yanfang Liu, Xinyu Wang, Linlin Wang, Dandan Wang, Wenjuan Zhang, Runhua Jiang, Ruixuan Jia, Jiaokun Feng, Hao Ding, Zeyu Liu, Gaifen Lu, Jingjing Ju, Yi Zhao, Xingquan Ann Transl Med Original Article BACKGROUND: This study aimed to systematically compare the discrimination and calibration of 5 clinical scores for stroke-associated pneumonia (SAP) after intracerebral hemorrhage (ICH). METHODS: We derived a validation cohort from the Beijing Registration of Intracerebral Hemorrhage. SAP was then diagnosed according to the Center for Disease Control and Prevention’s criteria for hospital-acquired pneumonia. The area under the receiver operating characteristic curve (AUROC) and Hosmer-Lemeshow goodness-of-fit test were used to assess model discrimination and calibration. RESULTS: A total of 1964 patients were enrolled in the study. The mean age was 56.8±14.4 years, and 67.6% were male. The median National Institutes of Health Stroke Scale (NIHSS) score at admission was 11 [interquartile range (IQR), 3–21], while the median length of stay (LOS) was 16 days (IQR, 8–22 days). A total of 575 (29.2%) patients were diagnosed with in-hospital SAP after ICH. The AUROC of the 5 clinical scores ranged from 0.732 to 0.800. In comparing these scores, we found that the ICH-associated pneumonia score-B (ICH-APS-B 0.800; 95% CI: 0.780–0.820; P<0.001) showed a statistically better discrimination than did the other risk models (all P<0.001). Furthermore, all clinical scores performed better in patients with an LOS >72 h. The ICH-APS-B (0.827; 95% CI: 0.806–0.848; P<0.001) still showed statistically better discrimination than did the other risk models in patients with an LOS longer than 72 hours. The Hosmer-Lemeshow test also revealed that the ICH-APS-B. had the largest Cox and Snell R2 result for in-hospital SAP after ICH. CONCLUSIONS: Among the 5 models for predicting SAP after ICH, the ICH-APS-B showed the best predictive performance, suggests it may be a useful tool for implementing the personalized care of patients and conducting clinical trials of SAP after ICH. AME Publishing Company 2022-04 /pmc/articles/PMC9073778/ /pubmed/35530955 http://dx.doi.org/10.21037/atm-21-4046 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Ji, Ruijun
Liu, Yanfang
Liu, Xinyu
Wang, Linlin
Wang, Dandan
Wang, Wenjuan
Zhang, Runhua
Jiang, Ruixuan
Jia, Jiaokun
Feng, Hao
Ding, Zeyu
Liu, Gaifen
Lu, Jingjing
Ju, Yi
Zhao, Xingquan
Comparison of clinical scores for predicting stroke-associated pneumonia after intracerebral hemorrhage (ICH): potential tools for personalized care and clinical trials for ICH
title Comparison of clinical scores for predicting stroke-associated pneumonia after intracerebral hemorrhage (ICH): potential tools for personalized care and clinical trials for ICH
title_full Comparison of clinical scores for predicting stroke-associated pneumonia after intracerebral hemorrhage (ICH): potential tools for personalized care and clinical trials for ICH
title_fullStr Comparison of clinical scores for predicting stroke-associated pneumonia after intracerebral hemorrhage (ICH): potential tools for personalized care and clinical trials for ICH
title_full_unstemmed Comparison of clinical scores for predicting stroke-associated pneumonia after intracerebral hemorrhage (ICH): potential tools for personalized care and clinical trials for ICH
title_short Comparison of clinical scores for predicting stroke-associated pneumonia after intracerebral hemorrhage (ICH): potential tools for personalized care and clinical trials for ICH
title_sort comparison of clinical scores for predicting stroke-associated pneumonia after intracerebral hemorrhage (ich): potential tools for personalized care and clinical trials for ich
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9073778/
https://www.ncbi.nlm.nih.gov/pubmed/35530955
http://dx.doi.org/10.21037/atm-21-4046
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