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). 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.
CITATION STYLE
Ji, R., Liu, Y., Liu, X., Wang, L., Wang, D., … Zhao, X. (2022). Comparison of clinical scores for predicting stroke-associated pneumonia after intracerebral hemorrhage (ICH): potential tools for personalized care and clinical trials for ICH. Annals of Translational Medicine, 10(7), 397–397. https://doi.org/10.21037/atm-21-4046
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