Fig. 3
From: A predictive model for post-COVID-19 pulmonary parenchymal abnormalities based on dual-center data
Nomogram for estimating probability of residual lung parenchymal abnormalities at 3 months after COVID-19 infection. Light green boxes represented the distribution of categorical variables, blue-gray density plots represented the distribution of continuous variables, and red dots represented one patient’s data (Patient 7). TB serum total bilirubin, LR lymphocyte ratio, AST aspartate aminotransferase, MCHC mean corpusular hemoglobin concerntration, PT prothrombin time, ER eosinophil ratio, APTT activated partial thromboplastin time, UA uric acid. *, P < 0.05; **, P < 0.01.
