Comparison of six risk scores for stroke-associated pneumonia in patients with acute ischemic stroke: A systematic review and Bayesian network meta-analysis
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 ne...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-10-01
|
| Series: | Frontiers in Medicine |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2022.964616/full |
| _version_ | 1811239258323681280 |
|---|---|
| author | Xuemin Zhang Xuemin Zhang Lu Xiao Lu Xiao Liqing Niu Liqing Niu Yongchao Tian Yongchao Tian Kuang Chen Kuang Chen |
| author_facet | Xuemin Zhang Xuemin Zhang Lu Xiao Lu Xiao Liqing Niu Liqing Niu Yongchao Tian Yongchao Tian Kuang Chen Kuang Chen |
| author_sort | Xuemin Zhang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T12:56:42Z |
| format | Article |
| id | doaj.art-27fe5441192d4ddd8d77a43264ca747e |
| institution | Directory Open Access Journal |
| issn | 2296-858X |
| language | English |
| last_indexed | 2024-04-12T12:56:42Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj.art-27fe5441192d4ddd8d77a43264ca747e2022-12-22T03:32:18ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2022-10-01910.3389/fmed.2022.964616964616Comparison of six risk scores for stroke-associated pneumonia in patients with acute ischemic stroke: A systematic review and Bayesian network meta-analysisXuemin Zhang0Xuemin Zhang1Lu Xiao2Lu Xiao3Liqing Niu4Liqing Niu5Yongchao Tian6Yongchao Tian7Kuang Chen8Kuang Chen9First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, ChinaNational Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, ChinaFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, ChinaNational Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, ChinaFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, ChinaNational Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, ChinaFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, ChinaNational Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, ChinaFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, ChinaNational Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, ChinaBackgroundStroke-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.https://www.frontiersin.org/articles/10.3389/fmed.2022.964616/fullrisk predictionrisk scoreischemic stroke (IS)network meta-analysisstroke-associated pneumonia (SAP) |
| spellingShingle | Xuemin Zhang Xuemin Zhang Lu Xiao Lu Xiao Liqing Niu Liqing Niu Yongchao Tian Yongchao Tian Kuang Chen Kuang Chen Comparison of six risk scores for stroke-associated pneumonia in patients with acute ischemic stroke: A systematic review and Bayesian network meta-analysis Frontiers in Medicine risk prediction risk score ischemic stroke (IS) network meta-analysis stroke-associated pneumonia (SAP) |
| title | Comparison of six risk scores for stroke-associated pneumonia in patients with acute ischemic stroke: A systematic review and Bayesian network meta-analysis |
| title_full | Comparison of six risk scores for stroke-associated pneumonia in patients with acute ischemic stroke: A systematic review and Bayesian network meta-analysis |
| title_fullStr | Comparison of six risk scores for stroke-associated pneumonia in patients with acute ischemic stroke: A systematic review and Bayesian network meta-analysis |
| title_full_unstemmed | Comparison of six risk scores for stroke-associated pneumonia in patients with acute ischemic stroke: A systematic review and Bayesian network meta-analysis |
| title_short | Comparison of six risk scores for stroke-associated pneumonia in patients with acute ischemic stroke: A systematic review and Bayesian network meta-analysis |
| title_sort | comparison of six risk scores for stroke associated pneumonia in patients with acute ischemic stroke a systematic review and bayesian network meta analysis |
| topic | risk prediction risk score ischemic stroke (IS) network meta-analysis stroke-associated pneumonia (SAP) |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2022.964616/full |
| work_keys_str_mv | AT xueminzhang comparisonofsixriskscoresforstrokeassociatedpneumoniainpatientswithacuteischemicstrokeasystematicreviewandbayesiannetworkmetaanalysis AT xueminzhang comparisonofsixriskscoresforstrokeassociatedpneumoniainpatientswithacuteischemicstrokeasystematicreviewandbayesiannetworkmetaanalysis AT luxiao comparisonofsixriskscoresforstrokeassociatedpneumoniainpatientswithacuteischemicstrokeasystematicreviewandbayesiannetworkmetaanalysis AT luxiao comparisonofsixriskscoresforstrokeassociatedpneumoniainpatientswithacuteischemicstrokeasystematicreviewandbayesiannetworkmetaanalysis AT liqingniu comparisonofsixriskscoresforstrokeassociatedpneumoniainpatientswithacuteischemicstrokeasystematicreviewandbayesiannetworkmetaanalysis AT liqingniu comparisonofsixriskscoresforstrokeassociatedpneumoniainpatientswithacuteischemicstrokeasystematicreviewandbayesiannetworkmetaanalysis AT yongchaotian comparisonofsixriskscoresforstrokeassociatedpneumoniainpatientswithacuteischemicstrokeasystematicreviewandbayesiannetworkmetaanalysis AT yongchaotian comparisonofsixriskscoresforstrokeassociatedpneumoniainpatientswithacuteischemicstrokeasystematicreviewandbayesiannetworkmetaanalysis AT kuangchen comparisonofsixriskscoresforstrokeassociatedpneumoniainpatientswithacuteischemicstrokeasystematicreviewandbayesiannetworkmetaanalysis AT kuangchen comparisonofsixriskscoresforstrokeassociatedpneumoniainpatientswithacuteischemicstrokeasystematicreviewandbayesiannetworkmetaanalysis |