Data_Sheet_1_Comparison of six risk scores for stroke-associated pneumonia in patients with acute ischemic stroke: A systematic review and Bayesian network meta-analysis.docx

BackgroundStroke-associated pneumonia (SAP) is one of the major causes of death after suffering a stroke. Several scoring systems have been developed for the early prediction of SAP. However, it is unclear which scoring system is more suitable as a risk prediction tool. We performed this Bayesian network meta-analysis to compare the prediction accuracy of these scoring systems.MethodsSeven databases were searched from their inception up to April 8, 2022. The risk of bias assessment of included study was evaluated by the QUADAS-C tool. Then, a Bayesian network meta-analysis (NMA) was performed by R 4.1.3 and STATA 17.0 software. The surface under the cumulative ranking curve (SUCRA) probability values were applied to rank the examined scoring systems.ResultsA total of 20 cohort studies involving 42,236 participants were included in this analysis. The results of the NMA showed that AIS-APS had excellent performance in prediction accuracy for SAP than Chumbler (MD = 0.030, 95%CI: 0.004, 0.054), A2DS2 (MD = 0.041, 95% CI: 0.023, 0.059), ISAN (MD = 0.045, 95% CI: 0.022, 0.069), Kwon (MD = 0.077, 95% CI: 0.055, 0.099) and PANTHERIS (MD = 0.082, 95% CI: 0.049, 0.114). Based on SUCRA values, AIS-APS (SUCRA: 99.8%) ranked the highest.ConclusionIn conclusion, the study found that the AIS-APS is a validated clinical tool for predicting SAP after the onset of acute ischemic stroke.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=292375, identifier: CRD42021292375.

背景卒中相关性肺炎（SAP）为卒中后死亡的主要原因之一。为早期预测SAP，已开发出多种评分系统。然而，尚不清楚哪种评分系统更适合作为风险预测工具。本研究通过贝叶斯网络荟萃分析，对这些评分系统的预测准确性进行了比较。

方法：检索了自数据库建立至2022年4月8日之间的七个数据库。通过QUADAS-C工具评估了纳入研究的偏倚风险。随后，利用R 4.1.3和STATA 17.0软件进行了贝叶斯网络荟萃分析（NMA）。应用累积排序曲线下面积（SUCRA）概率值对所考察的评分系统进行排序。

结果：共有20项队列研究，涉及42,236名参与者被纳入本次分析。NMA结果显示，与Chumbler（MD = 0.030，95%CI：0.004，0.054）、A2DS2（MD = 0.041，95% CI：0.023，0.059）、ISAN（MD = 0.045，95% CI：0.022，0.069）、Kwon（MD = 0.077，95% CI：0.055，0.099）和PANTHERIS（MD = 0.082，95% CI：0.049，0.114）相比，AIS-APS在SAP预测准确性方面表现出卓越的性能。基于SUCRA值，AIS-APS（SUCRA：99.8%）位列第一。

结论：综上所述，本研究发现AIS-APS是急性缺血性卒中发生后预测SAP的有效临床工具。系统评价注册：https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=292375，标识符：CRD42021292375。