Screening for 274 suspected cases of novel coronavirus pneumonia

Xuli Yang, Zhihui Wang, Xing Liu, Shanshan Wu, Xiaoping Wu, G. Wen, Xianjun Zeng, Huawei Xiong, JIe Liu, Tao Hong
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引用次数: 1

Abstract

Objective To evaluate the diagnostic efficacies of computed tomography (CT), clinical manifestations and 2019 novel coronavirus (2019-nCoV) nucleic acid test results for the screening and diagnosis of novel coronavirus pneumonia. Methods The clinical data of cases suspected with coronavirus disease 2019 (COVID-19) visited fever clinic or stayed in emergency room of the First Affiliated Hospital of Nanchang University from January 23, 2020 to February 9, 2020 were collected. Totally 274 cases who met the inclusion criteria were enrolled. Four screening schemes including chest CT screening, scoring, chest CT and scoring series screening, chest CT and scoring parallel screening were designed. The statistical analysis was performed by using chi-square test. The sensitivities, specificities and the areas under the receiver operator characteristic curve of the four screening schemes were calculated, and the diagnostic efficacies were evaluated. Results Among the 274 cases, 93.80% (257/274) presented with typical clinical symptoms, 47.81% (131/274) had epidemiological history, and the blood routine examination results of 45.26% (124/274) cases met the positive criteria of the scoring , and chest CT results of 43.07% (118/274) cases met the positive criteria of chest CT screening. The 2019-nCoV nucleic acid test positive rate of cases with epidemiological history was 30.53% (40/131), which was higher than that of cases without epidemiological history (9.09% (13/143)) , and that of cases with typical imaging performance on chest CT was 40.68% (48/118), which was higher than cases without typical imaging performance (3.21% (5/156)) . The differences between the above groups were both statistically significant (both P<0.01). The positive rates of viral nucleic acid detection in cases with positive findings of chest CT screening, scoring, series screening, and parallel screening were 40.68% (48/118), 23.74% (47/198), 4.25% (42/94) and 23.87% (53/222), respectively, while those in cases with negative findings of the four screening schemes were 3.20% (5/156), 7.89% (6/76), 6.11% (11/180) and 0 (0/52), respectively. The positive rates of the four screening schemes were all significantly different from that of viral nucleic acid detection (all P<0.01). The chest CT screening method had a sensitivity of 90.57%, a specificity of 68.33%, and an area under the operating characteristic curve of the subject was 0.794, which had higher diagnostic value than those of the other three screening schemes. Conclusions For the screening and diagnosis of COVID-19 cases, epidemiological history, positive viral nucleic acid test with ≥2 typical clinical manifestations have highly diagnostic value. On the basis of the preliminary screening of chest CT examination, flexible analysis of the diagnostic results could improve the diagnostic value of each detection method. Key words: COVID-19; Pneumonia; Chest CT; Real-time polymerase chain reaction; Screening
274例新型冠状病毒肺炎疑似病例筛查
目的评价计算机断层扫描(CT)、临床表现及2019新型冠状病毒(2019- ncov)核酸检测结果对新型冠状病毒肺炎的筛查和诊断价值。方法收集2020年1月23日至2020年2月9日在南昌大学第一附属医院发热门诊或急诊室就诊的疑似2019冠状病毒病(COVID-19)病例的临床资料。符合纳入标准的病例共274例。设计了胸部CT筛查、评分、胸部CT及评分系列筛查、胸部CT及评分平行筛查四种筛查方案。统计学分析采用卡方检验。计算4种筛查方案的敏感性、特异性和受者操作者特征曲线下面积,评价其诊断效果。结果274例病例中,93.80%(257/274)有典型临床症状,47.81%(131/274)有流行病学史,45.26%(124/274)的血常规符合评分阳性标准,43.07%(118/274)的胸部CT符合胸部CT筛查阳性标准。有流行病学史病例的2019-nCoV核酸检测阳性率为30.53%(40/131),高于无流行病学史病例的9.09%(13/143),胸部CT表现典型病例的阳性率为40.68%(48/118),高于无典型影像学表现病例的3.21%(5/156)。两组间差异均有统计学意义(P<0.01)。胸部CT筛查、评分、系列筛查和平行筛查阳性病例的病毒核酸检测阳性率分别为40.68%(48/118)、23.74%(47/198)、4.25%(42/94)和23.87%(53/222),四种筛查方案阴性病例的病毒核酸检测阳性率分别为3.20%(5/156)、7.89%(6/76)、6.11%(11/180)和0(0/52)。4种筛选方案的阳性率与病毒核酸检测阳性率差异均有统计学意义(P<0.01)。胸部CT筛查方法的敏感性为90.57%,特异性为68.33%,受试者工作特征曲线下面积为0.794,诊断价值高于其他三种筛查方案。结论对COVID-19病例的筛查和诊断,流行病学病史、阳性病毒核酸检测≥2个典型临床表现具有较高的诊断价值。在胸部CT检查初步筛查的基础上,对诊断结果进行灵活分析,可以提高各检测方法的诊断价值。关键词:COVID-19;肺炎;胸部CT;实时聚合酶链反应;筛选
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