AI Article Synopsis

  • The pulmonary function test (PFT) is crucial for assessing risk before allogeneic transplantation (allo-HCT), but during COVID-19, it poses a risk of virus transmission due to aerosol generation.
  • A study involving 390 allo-HCT patients aimed to predict normal PFT results using lung CT imaging, showing that abnormal CT findings were significantly less common in those with normal PFT results.
  • The analysis indicated a strong association between normal CT results and normal PFT, leading to a predictive model with high specificity, suggesting that PFTs may be unnecessary for patients with normal CT scans prior to allo-HCT.

Article 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.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7449931PMC
http://dx.doi.org/10.1016/j.bbmt.2020.08.025DOI Listing

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