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Updating cut-off values of severity scoring systems for community-acquired pneumonia to orchestrate more predictive accuracy

Authors :
Qi Guo
Hai-yan Li
Wei-dong Song
Ming Li
Xiao-ke Chen
Hui Liu
Hong-lin Peng
Hai-qiong Yu
Nian Liu
Yan-hong Li
Zhong-dong Lü
Li-hua Liang
Qing-zhou Zhao
Mei Jiang
Source :
Annals of Medicine, Vol 55, Iss 1 (2023)
Publication Year :
2023
Publisher :
Taylor & Francis Group, 2023.

Abstract

AbstractBackground: The assessment of severity is crucial in the management of community-acquired pneumonia (CAP). It remains unknown whether updating cut-off values of severity scoring systems orchestrate improvement in predictive accuracy.Methods: 3,212 patients with CAP were recruited to two observational prospective cohort studies. Three bettered scoring systems were derived from the corresponding well-established and extensively used pneumonia-specific severity scoring systems, i.e. pneumonia severity index, minor criteria and CURB-65 (confusion, urea >7 mmol/L, respiratory rate ≥30/min, low blood pressure, and age ≥65 years) score, with the updating cut-off values for tachypnea and low blood pressure. Cronbach α was employed to determine construct validity. Discrimination was valued by calculating the area under the receiver operating characteristic curve (AUROC) and net reclassification improvement (NRI).Results: Respiratory rate ≥22/min and systolic blood pressure ≤100 mm Hg were performed better than respiratory rate ≥30/min and hypotension for predicting mortality in the derivation cohort, respectively (AUROC, 0.823 vs 0.519, 0.688 vs 0.622; NRI, 0.61, 0.13). Bettered scoring systems orchestrated higher convergences, indicated by greater Cronbach α and more decrease in Cronbach α if the updating cut-off values were deleted. The six scoring systems agreed well with one another. Bettered- pneumonia severity index, minor criteria and CURB-65 score showed higher associations with severity and mortality rates and demonstrated greater predictive accuracies for mortality compared with the corresponding original systems (AUROC, 0.939 vs 0.883, 0.909 vs 0.871, 0.913 vs 0.859; NRI, 0.113, 0.076, 0.108; respectively). The validation cohort confirmed a similar pattern.Conclusions: Updating cut-off values of severity scoring systems for CAP orchestrate improvement in predictive accuracy, suggesting that it may facilitate the rationalization of clinical triage decision-making and further reduce mortality. The current studies provide the first known prospective evidence of potential benefit of the updating cut-off values of severity scoring systems for CAP in predictive accuracy.Key messagesUpdating cut-off values were performed better for predicting mortality.Bettered scoring systems orchestrated higher convergences.Bettered scoring systems demonstrated greater predictive accuracies for mortality.

Details

Language :
English
ISSN :
07853890 and 13652060
Volume :
55
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Annals of Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.5f230c72692e4de39d4c41ba354d82ab
Document Type :
article
Full Text :
https://doi.org/10.1080/07853890.2023.2202414