首页|艾滋病患者合并结核分枝杆菌感染的风险列线图模型构建

艾滋病患者合并结核分枝杆菌感染的风险列线图模型构建

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目的 分析艾滋病(AIDS)患者合并结核分枝杆菌感染的危险因素,并构建风险预测模型,探索其预测价值。方法 回顾性分析758例2019年3月-2023年3月宜昌市中心人民医院收治的AIDS患者的临床资料,根据是否合并结核分枝杆菌感染分为感染组54例和未感染组704例。分析AIDS患者合并结核分枝杆菌感染的临床特征,Logistic回归分析AIDS患者合并结核分枝杆菌感染的危险因素,并构建风险列线图预测模型,分析其预测价值。结果 Logistic回归分析结果显示,有吸烟史、有吸毒史、人类免疫缺陷病毒(HIV)病程≥5年、基线CD4+值<200个/μl是AIDS患者合并结核分枝杆菌感染的独立危险因素(P<0。05),卡介苗接种史是保护因素(P<0。05)。根据吸烟史、吸毒史、卡介苗接种史、HIV病程和基线CD4+值构建的风险列线图预测模型,经Hosmer-Lemeshow拟合度检验结果显示,模型拟合的准确度较好(x2=7。130,P=0。415);校准曲线结果显示,预测概率接近实际概率。受试者工作特征(ROC)曲线分析结果显示,当Logit(P)>0。06时,曲线下面积(AUC)值为0。839,95%CI为0。783~0。895,模型诊断的敏感度为77。78%,特异度为76。70%。结论 AIDS患者合并结核分枝杆菌感染与有吸烟史、有吸毒史、无卡介苗接种史、HIV病程≥5年、基线CD4+值<200个/μl存在密切联系,据此构建的风险列线图预测模型具有较好的预测价值。
Establishment of risk nomogram model for Mycobacterium tuberculosis infection in patients with acquired immunodeficiency syndrome
OBJECTIVE To analyze the risk factors for Mycobacterium tuberculosis infection in the patients with ac-quired immunodeficiency syndrome(AIDS),establish the risk prediction model and explore the predictive value.METHODS The clinical data of 758 patients with AIDS who were treated in Yichang Central People's Hospital from Mar 2019 to Mar 2023 were retrospectively analyzed,the patients were divided into the infection group with 54 cases and the no infection group with 704 cases according to the status of complication with M.tuberculosis in-fection.The clinical characteristics of the AIDS patients complicated with M.tuberculosis infection were analyzed,logistic regression analysis was performed for the risk factors for the M.tuberculosis infection in the AIDS pa-tients,the risk nomogram prediction model was established,and the predictive value was analyzed.RESULTS The result of logistic regression analysis showed that smoking history,history of drug abuse,course of human immu-nodeficiency virus(HIV)and baseline CD4+value less than 200/μl were independent risk factors for the M.tuberculosis infection in the AIDS patients(P<0.05),while the history of Bacillus Calmette-Guerin(BCG)vaccination was the protective factor(P<0.05).The risk nomogram prediction model was established based on the smoking history,history of drug abuse,history of BCG vaccination,course of HIV and baseline CD4+value,and the result of Hosmer-Lemeshow test of goodness of fit showed that the fitting accuracy of the model was good(x2=7.130,P=0.415).The result of calibration curve indicated that the predicted probability was close to the actual probability.The result of receiver operating characteristic(ROC)curve analysis showed that when the Logit(P)was more than 0.06,the area under curve(AUC)was 0.839,the95%CI was 0.783-0.895,the sensitivity of the model was 77.78%in diagnosis,with the specificity 76.70%.CONCLUSION The incidence of M.tubercu-losis infection is closely associated with smoking history,history of drug abuse,no history of BCG vaccination,course of HIV no less than 5 years and baseline CD4+value less than 200/μl.The risk nomogram prediction mod-el has high predictive value.

Acquired immunodeficiency syndromePulmonary tuberculosisMycobacterium tuberculosisInfec-tionRisk factorNomogramPrevention measure

张蓓蓓、姚勤峰、张佳、袁成宇、罗春华

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武汉科技大学公共卫生学院,湖北武汉 430000

宜昌市优抚医院检验科,湖北宜昌 443000

云南省第一人民医院感染学疾病科,云南昆明 650000

宜昌市中心人民医院检验科,湖北宜昌 443000

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艾滋病 肺结核 结核分枝杆菌 感染 危险因素 风险列线图 预防对策

湖北省卫生健康科研基金

2021JH0240411

2024

中华医院感染学杂志
中华预防医学会 中国人民解放军总医院

中华医院感染学杂志

CSTPCD北大核心
影响因子:1.885
ISSN:1005-4529
年,卷(期):2024.34(10)
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