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COVID-19 大流行期间,造血干细胞移植前肺部计算机断层扫描可替代肺功能检查。

Pre-Hematopoietic Stem Cell Transplantation Lung Computed Tomography as an Alternative to the Pulmonary Function Test during the COVID-19 Pandemic.

机构信息

Division of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.

Department of Radiology, Jichi Medical University Saitama Medical Center, Saitama, Japan.

出版信息

Biol Blood Marrow Transplant. 2020 Dec;26(12):2318-2322. doi: 10.1016/j.bbmt.2020.08.025. Epub 2020 Aug 27.

Abstract

The pulmonary function test (PFT) is an important test for risk stratification before allogeneic transplantation (allo-HCT). However, it might be preferable to avoid PFT as much as possible in the recent era of coronavirus disease 2019 (COVID-19), because PFT requires forced expirations and might produce aerosols, increasing the risk of COVID-19 transmission. Therefore, we tried to predict normal PFT results before allo-HCT based on computed tomography (CT) findings. This study included 390 allo-HCT recipients at our center for whom lung CT images and PFT results before allo-HCT were available. Abnormal CT findings were less likely to be observed in the normal PFT group (47.0% versus 67.4%, P = .015), with a high negative predictive value of 92.9%. In a multivariate analysis, normal CT was significantly associated with normal PFT (odds ratio, 2.47; 95% confidence interval, 1.22 to 4.97; P = .012). A model for predicting normal PFT was constructed based on the results of a multivariate analysis, and the area under the curve of the receiver operating characteristic analysis was 0.656, which gave a sensitivity of 45.5% and a specificity of 86.0%. The relatively high specificity of the model suggested that PFT can be omitted in patients with normal CT findings before allo-HCT.

摘要

肺功能测试(PFT)是异基因造血干细胞移植(allo-HCT)前进行风险分层的重要测试。然而,在 2019 年冠状病毒病(COVID-19)的时代,最好尽可能避免 PFT,因为 PFT 需要用力呼气,并且可能产生气溶胶,增加 COVID-19 传播的风险。因此,我们试图根据计算机断层扫描(CT)结果预测 allo-HCT 前的正常 PFT 结果。这项研究包括我们中心的 390 名 allo-HCT 受者,他们的肺部 CT 图像和 allo-HCT 前的 PFT 结果都可用。在正常 PFT 组中,不太可能观察到异常 CT 发现(47.0%比 67.4%,P=.015),阴性预测值很高为 92.9%。在多变量分析中,正常 CT 与正常 PFT 显著相关(比值比,2.47;95%置信区间,1.22 至 4.97;P=.012)。根据多变量分析的结果构建了预测正常 PFT 的模型,受试者工作特征分析的曲线下面积为 0.656,其敏感性为 45.5%,特异性为 86.0%。该模型的特异性相对较高表明,在 allo-HCT 前 CT 结果正常的患者中可以省略 PFT。

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