CAJ | 학술논문

目的为巨细胞病毒性肺炎筛查寻找可靠且简便易行的判断准则,以减少巨细胞病毒性肺炎的漏诊和误治.方法应用判别分析方法对收集的56例巨细胞病毒性肺炎和42例普通病毒导致的喘息性支气管炎病例数据进行处理,建立诊断结果预测模型.结果经过变量筛选最后只有年龄、淋巴细胞计数和血小板计数三个指标进入模型,所建立的巨细胞病毒性肺炎筛查模型的灵敏度为80.36％,特异度为80.95％,误诊率为19.05％,漏诊率为19.64％,诊断符合率为80.61％.结论采用判别分析建立的巨细胞病毒性肺炎诊断预测模型简洁易懂,可操作性强,预测准确率较高,能为医务人员提供有力的筛查手段.
목적 위거세포병독성폐염사사심조가고차간편역행적판단준칙,이감소거세포병독성폐염적루진화오치.방법 응용판별분석방법대수집적56례거세포병독성폐염화42례보통병독도치적천식성지기관염병례수거진행처리,건립진단결과예측모형.결과 경과변량사선최후지유년령、림파세포계수화혈소판계수삼개지표진입모형,소건립적거세포병독성폐염사사모형적령민도위80.36％,특이도위80.95％,오진솔위19.05％,루진솔위19.64％,진단부합솔위80.61％.결론 채용판별분석건립적거세포병독성폐염진단예측모형간길역동,가조작성강,예측준학솔교고,능위의무인원제공유력적사사수단.
Objective To look for a reliable and convenient judgement criteria for the screening of cytomegalovirus pneumonia in order to reduce misdiagnosis and resulted mistherapy.Methods Process collected data on fifty-six cytomegalovirus pneumonia and forty-two common viruses induced asthmatic bronchitis cases by use of discriminant analysis to construct prediction model of diagnosis result.Results Only three indexes including age,lymph count and platelet count were selected into the model via sift.The performance of the established screening model showed as follows:sensitivity was 80.36％,specificity was 80.95％,misdiagnosis rate was 19.05％,false negative rate was 19.64％,diagnostic accordance rate was 80.61％.Conclusion Being concise and of strong maneuverability and high accuracy in prediction,cytomegalovirus pneumonia diagnosis model constructed through discriminant analysis can provide powerful screening means for medical staff.