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肺脏超声检查诊断心源性呼吸困难的Meta分析

Lung ultrasound for the diagnosis of cardiogenic dyspnea:a meta-analysis
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摘要 目的通过Meta分析探讨肺脏超声检查对心源性呼吸困难的诊断价值。方法检索PubMed、Web of science、EMbase、中国生物医学文献数据库、中国知网和万方数据库,检索时间为建库至2022年4月5日,共检索文献3938篇。采用QUADAS-2对纳入文献质量进行评价并提取数据,运用I2和Cochran-Q检验行异质性检验,采用Meta-Disc 1.4软件进行数据分析。结果共纳入18篇文献。采用随机效应模型进行Meta分析,敏感度合并值为0.83(95%CI:0.81~0.85),特异度合并值为0.85(95%CI:0.83~0.86),阳性似然比合并值为5.19(95%CI:3.3~8.18),阴性似然比合并值为0.20(95%CI:0.13~0.29),诊断比值比合并值为32.51(95%CI:17.21~61.41),SROC下曲线面积合并值为0.9181。结论肺脏超声诊断心源性呼吸困难的价值及准确性较高,可成为一种新的诊断工具,但需更大样本、更科学合理的前瞻性研究予以验证。 Objective To evaluate the diagnostic value of Pulmonary ultrasonography for cardiogenic dyspnea by Meta-analysis.Methods We searched PubMed,Web of Science,Embase,CBM,CNKI and WanFang Database from the database construction to April 52022,and 3938 articles were retrieved.The quality assessment of diagnostic accuracy studies(QUADAS-2)was used to evaluate the risk of bias of the included literature,then extract the data.Heterogeneity was assessed by I2 and Cochran-Q tests,and Meta-DISC 1.4 software was used to analyze data.Results A total of 18 literatures and 3558 cases were included.A random effect model was adopted for meta-analysis.The pooled sensitivity was 0.83(95%CI:0.81~0.85),the pooled specificity was 0.85(95%CI:0.83~0.86),the PLR was 5.19(95%CI:3.3~8.18),the NLR was 0.20(95%CI:0.13~0.29),the DOR was 32.51(95%CI:17.21~61.41),and the area under SROC was 0.9181.Conclusion Lung ultrasound has high accuracy and great value for the diagnosis of cardiogenic dyspnea,which can be used as a new method for diagnosing acute heart failure.However,it still needs to be verified by more scientific and reasonable prospective trials with larger samples.
作者 蒋均仕 崔换弟 赵小鹏 张丽 杨梅 周祖邦 Jiang Junshi;Cui Huandi;Zhao Xiaopeng;Zhang Li;Yang Mei;Zhou Zubang(Affiliated Hospital of Gansu University of Chinese Medicine,730000 Gansu,China;不详)
出处 《中国循证心血管医学杂志》 2023年第10期1166-1171,共6页 Chinese Journal of Evidence-Based Cardiovascular Medicine
基金 甘肃省自然科学基金项目(21JR7RA599)。
关键词 超声检查 心力衰竭 呼吸困难 META分析 Ultrasonography Heart failure Dyspnea Meta-analysis
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