Development and Validation of Nomograms for Predicting Pneumonia in Patients with COVID-19 and Lung Cancer.

Yiyue XuHaoqian LiXiaoqing WangButuo LiAiqin GaoQian ZhaoLinlin YangWenru QinLinlin Wang

Published in: Journal of inflammation research (2024)

We developed nomograms predicting the probability of pneumonia in lung cancer patients infected with SARS-CoV-2. The models showed good performance and can be used in the clinical management of COVID-19 in lung cancer patients. Higher-risk patients should be managed with enhanced protective measures and appropriate intervention.

Keyphrases

sars cov
end stage renal disease
coronavirus disease
newly diagnosed
randomized controlled trial
ejection fraction
chronic kidney disease
respiratory syndrome coronavirus
prognostic factors
peritoneal dialysis
patient reported outcomes
respiratory failure
patient reported
acute respiratory distress syndrome