Linlin Wang, Jun Xu, Xinyu Liu, Feifei Ma, Xingquan Zhao, Anxin Wang, Ruijun Ji, Yongjun Wang, CNSR III investigators
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The area under the receiver operating characteristic curve (AUROC) and Hosmer-Lemeshow goodness-of-fit test were used to assess discrimination and calibration.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>A total of 12,071 patients were included in the study and 606 (5.02%) patients were diagnosed with in-hospital SAP after ischemic stroke. The AUROC of the six clinical scores ranged from 0.660 to 0.752. In the pairwise comparison, the AIS-APS score (0.752, 95% CI = 0.730–0.773, <i>p</i> < 0.001) showed significantly better discrimination than the other risk models, except the PASS score. The AIS-APS score had the largest Cox and Snell <i>R</i>\n <sup>2</sup> for in-hospital SAP after ischemic stroke. In the subgroup analysis, among patients over 61 years of age, all TOAST subtypes except small vessel disease, length of hospital stay longer than 8 days, male and female sex, different groups stratified by admission NIHSS score and time from onset to arrival, the AIS-APS score showed better discrimination than other risk models with regard to SAP after AIS.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Our study compared the discrimination and calibration of the Kwon Pneumonia Score, A2DS2 score, PANTHERIS score, AIS-APS score, ISAN score, and PASS score in SAP identification; of these, the AIS-APS score showed the best performance.</p>\n </section>\n </div>","PeriodicalId":32862,"journal":{"name":"Aging Medicine","volume":"8 2","pages":"137-144"},"PeriodicalIF":2.2000,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agm2.70003","citationCount":"0","resultStr":"{\"title\":\"Comparison of Clinical Scores for Predicting Stroke-Associated Pneumonia After Acute Ischemic Stroke\",\"authors\":\"Linlin Wang, Jun Xu, Xinyu Liu, Feifei Ma, Xingquan Zhao, Anxin Wang, Ruijun Ji, Yongjun Wang, CNSR III investigators\",\"doi\":\"10.1002/agm2.70003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objectives</h3>\\n \\n <p>To compare the discrimination and calibration of six risk scoring systems in the assessment of patients with stroke-associated pneumonia (SAP) after acute ischemic stroke.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>The validation cohort was derived from the Third China National Stroke Registry. SAP was diagnosed according to the criteria for hospital-acquired pneumonia of the Centers for Disease Control and Prevention. The area under the receiver operating characteristic curve (AUROC) and Hosmer-Lemeshow goodness-of-fit test were used to assess discrimination and calibration.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>A total of 12,071 patients were included in the study and 606 (5.02%) patients were diagnosed with in-hospital SAP after ischemic stroke. The AUROC of the six clinical scores ranged from 0.660 to 0.752. In the pairwise comparison, the AIS-APS score (0.752, 95% CI = 0.730–0.773, <i>p</i> < 0.001) showed significantly better discrimination than the other risk models, except the PASS score. The AIS-APS score had the largest Cox and Snell <i>R</i>\\n <sup>2</sup> for in-hospital SAP after ischemic stroke. 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引用次数: 0
摘要
目的比较6种风险评分系统对急性缺血性脑卒中后卒中相关性肺炎(SAP)患者的区分和校准。方法验证队列来自第三个中国国家卒中登记中心。SAP是根据疾病控制和预防中心的医院获得性肺炎的标准诊断的。采用受试者工作特征曲线下面积(AUROC)和Hosmer-Lemeshow拟合优度检验评估鉴别和校准。结果共纳入12071例患者,其中606例(5.02%)诊断为缺血性脑卒中后住院SAP。6项临床评分的AUROC范围为0.660 ~ 0.752。两两比较,AIS-APS评分(0.752,95% CI = 0.730-0.773, p < 0.001)比除PASS评分外的其他风险模型具有更好的辨别能力。缺血性脑卒中后住院SAP的AIS-APS评分Cox和Snell r2最大。在亚组分析中,在年龄大于61岁、除小血管疾病外所有TOAST亚型、住院时间大于8天、男女、按入院NIHSS评分和发病至到达时间分层的不同组中,AIS- aps评分对AIS后SAP的鉴别性优于其他风险模型。结论本研究比较了Kwon肺炎评分、A2DS2评分、PANTHERIS评分、AIS-APS评分、ISAN评分和PASS评分在SAP鉴定中的鉴别和校准;其中,AIS-APS评分表现最佳。
Comparison of Clinical Scores for Predicting Stroke-Associated Pneumonia After Acute Ischemic Stroke
Objectives
To compare the discrimination and calibration of six risk scoring systems in the assessment of patients with stroke-associated pneumonia (SAP) after acute ischemic stroke.
Methods
The validation cohort was derived from the Third China National Stroke Registry. SAP was diagnosed according to the criteria for hospital-acquired pneumonia of the Centers for Disease Control and Prevention. The area under the receiver operating characteristic curve (AUROC) and Hosmer-Lemeshow goodness-of-fit test were used to assess discrimination and calibration.
Results
A total of 12,071 patients were included in the study and 606 (5.02%) patients were diagnosed with in-hospital SAP after ischemic stroke. The AUROC of the six clinical scores ranged from 0.660 to 0.752. In the pairwise comparison, the AIS-APS score (0.752, 95% CI = 0.730–0.773, p < 0.001) showed significantly better discrimination than the other risk models, except the PASS score. The AIS-APS score had the largest Cox and Snell R2 for in-hospital SAP after ischemic stroke. In the subgroup analysis, among patients over 61 years of age, all TOAST subtypes except small vessel disease, length of hospital stay longer than 8 days, male and female sex, different groups stratified by admission NIHSS score and time from onset to arrival, the AIS-APS score showed better discrimination than other risk models with regard to SAP after AIS.
Conclusions
Our study compared the discrimination and calibration of the Kwon Pneumonia Score, A2DS2 score, PANTHERIS score, AIS-APS score, ISAN score, and PASS score in SAP identification; of these, the AIS-APS score showed the best performance.