Establishment and application of diagnostic model for elderly community pneumonia based on clinical blood routine indicators

Objective To explore the construction of a nomogram model with good predictive value for community acquired pneumonia (CAP) in elderly patients using commonly used blood routine indicators in clinical practice. Methods A total of 88 elderly CAP patients and 80 healthy controls in Nanjing Integrated Traditional Chinese and Western Medicine Hospital from January to December 2022 were enrolled retrospectively. Univariate and multivariate logistic regression was used to screen the independent risk factors of CAP in the elderly, and nomogram model was constructed. ROC curve was used to evaluate the diagnostic efficiency of nomogram model. Results White blood cell count, red blood cell count, lymphocyte ratio, monocyte ratio, mean platelet volume and platelet distribution width were independent risk factors for CAP in the elderly. Based on this, nomogram model was constructed, and the area under the ROC curve was 0.869 (95%CI: 0.808-0.916). Conclusion The nomogram model constructed based on the clinical blood routine indicators in this study can accurately screen the elderly patients with CAP, assess the risk of CAP for elderly patients, and guide the clinical precise management.