广西某三甲医院获得性军团菌感染现状及其风险因素分析

doi:10.3969/j.issn.1006-6233.2023.04.09

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Abstract Objective: To investigate and analyze the current status of acquired Legionella infection and its risk factors in a tertiary care hospital in Guangxi. Methods: 480 inpatients in a tertiary care hospital in Guangxi from June 2021 to June 2022 were selected, Legionella infections were counted, the influencing factors of Legionella infections were analyzed by single-factor and logistic multi-factor models, a logistic prediction model was constructed based on the influencing factors, and the value of the model in predicting the occurrence of Legionella infections was evaluated by subject work characteristic (ROC) curves. Results: The rate of Legionella infection was 12.08% (58/480) in 480 hospitalized patients, of which 41.38% (32/58) were combined with other bacterial or fungal infections; the age of patients who developed Legionella infection and the proportion of patients who smoked, had diabetes, had respiratory diseases, were admitted in summer and autumn, had recently used centralized air conditioning, and applied immunosuppressive drugs were higher than those who did not develop Legionella infection (P<0.05). Age (OR=1.633), smoking (OR=2.297), diabetes (OR=2.512), respiratory disease (OR=5.118), admission in summer and autumn (OR=5.638), recent use of centralized air conditioning (OR=4.710), and application of immunosuppressive drugs (OR=3.933) were all factors influencing Legionella infection (P<0.05). The logistic prediction model was constructed based on the influencing factors as: Logit (P) = -8.054 + 0.490 × age + 0.832 × smoking + 0.921 × diabetes mellitus + 1.633 × respiratory disease + 1.730 × hospital admission in summer and autumn + 1.550 × recent use of centralized air conditioning + 1.369 × application of immunosuppressive drugs. The model predicted the occurrence of Legionella infection with an area under the curve (AUC) of 0.918 (95% CI 0.890 to 0.941), a cut-off value of 0.163, and a predictive sensitivity and specificity of 89.67% and 84.65%, respectively. Conclusion: The incidence of acquired Legionella infection in a tertiary care hospital in Guangxi was 12.08%, and the influencing factors included age, smoking, diabetes, respiratory diseases, admission in summer and autumn, recent use of centralized air conditioning, and application of immunosuppressive drugs, and the construction of a Logistic prediction model based on the influencing factors could assist in clinical screening of patients at high risk of Legionella infection.

Key words： Legionella Infection Influencing factors Predictive model

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	Articles by authors
	DING Kaihong
	FENG Yuqing
	TANG Fangmei
	et al

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DING Kaihong,FENG Yuqing,TANG Fangmei, et al. Analysis of the Current Situation of Acquired Legionella Infection and Its Risk Factors in a Tertiary Care Hospital in Guangxi[J]. HeBei Med, 2023, 29(4): 572-578.

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http://www.hbyxzzs.cn/EN/10.3969/j.issn.1006-6233.2023.04.09 OR http://www.hbyxzzs.cn/EN/Y2023/V29/I4/572

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