Abstract：Objective To explore the risk factors of pulmonary infection in patients with acute leukemia after chemotherapy, and to establish a nomogram model to predict the related risk. Methods We collected the clinical data about adult patients with acute leukemia treated in the First People's Hospital of Linping District from December 2019 to December 2021. The incidence of pulmonary infection and the distribution of pathogenic bacteria in the patients were counted. The relevant risk factors were screened by univariate analysis, least absolute shrinkage and selection operator (LASSO) regression analysis and multivariate logistic regression analysis, and then a nomogram model was established. Results There were 62 cases of pulmonary infection in 260 patients, with an incidence rate of 23.8%. The main pathogens were Gram-negative bacteria. Chemotherapy duration ≥7 days, low hemoglobin level, platelet count <30×109/L, low leukocyte count, low neutrophil count and glucocorticoid use were independent risk factors for pulmonary infection in the patients with acute leukemia after chemotherapy (P<0.05). The model verification results revealed that the C-index was 0.815, and the calibration curve approached the ideal curve. Hosmer-Lemeshow goodness-of-fit test showed that P=0.577. The AUC of ROC curve was 0.847 (95%CI:0.817-0.878). When the threshold probability was 5%-99%, the patients' net benefit value was higher than those in the other two critical curves, and the model was clinically effective within this range. Conclusion There are many risk factors leading to pulmonary infection in the patients with acute leukemia after chemotherapy. The nomogram model based on the risk factors has good prediction ability.
尤小丽, 马丹. 急性白血病患者化疗后肺部感染的危险因素分析及风险列线图模型的建立[J]. 实用预防医学, 2024, 31(1): 39-43.
YOU Xiaoli, MA Dan. Risk factors of pulmonary infection in patients with acute leukemia after chemotherapy and establishment of a risk nomogram model. , 2024, 31(1): 39-43.
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