Statistical analysis
REGRESSION
The NT-proBNP terms include T1 (NT-proBNP < 56 ng/L), T2 (56 ≤ NT-proBNP ≤ 480 ng/L) and T3 (NT-proBNP > 480 ng/L). The Kolmogorov–Smirnov test was used to evaluate the normality of the data. Demographic differences between groups were assessed using the Kruskal–Wallis H test. Logistic regression models were estimated using odds ratios (ORs) and 95% confidence intervals (95% CIs) and used to examine the association between NT-proBNP and CAP. The collinearity of different models was tested using logistic regression. The diagnostic value of NT-proBNP measurements for predicting the risk of developing CAP was assessed using receiver operating characteristic curves. The missing values were imputed using multiple imputation methods.Prior to the multifactor analyses, univariate analyses of CAP-related factors [Results with a two-sided 