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预测人类布鲁氏菌病复发的多变量模型。

Multivariate model for predicting relapse in human brucellosis.

作者信息

Solera J, Martínez-Alfaro E, Espinosa A, Castillejos M L, Geijo P, Rodríguez-Zapata M

机构信息

Department of Medicine, Unit of Infectious Diseases, Hospital of Albacete, Spain.

出版信息

J Infect. 1998 Jan;36(1):85-92. doi: 10.1016/s0163-4453(98)93342-4.

DOI:10.1016/s0163-4453(98)93342-4
PMID:9515675
Abstract

Demographic, clinical, and laboratory data from 200 consecutive patients with acute brucellosis were analysed with univariate and multivariate methods to identify correlates of relapse. A risk score for predicting relapse was then calculated by using Cox proportional hazard model. The independent predictors of relapse were temperature of 38.3 degrees C or higher, positive blood cultures at baseline, and the duration of symptoms before treatment <10 days. Stratification according to the risk score demonstrated that rates of relapse were significantly different between risk groups (P<0.0001). The low-risk group had a 4.5% probability (6 of 135) of relapse at 12 months. In contrast, relapse was present in 15 of 47 patients in the medium-risk group (P<0.0017); and in 12 of 18 patients in the high-risk group (P<0.0001). This study provides a rational basis for estimating the risk of relapse in patients with acute brucellosis, and may be helpful in deciding what subjects might benefit from extra attention.

摘要

采用单因素和多因素方法对200例急性布鲁氏菌病患者的人口统计学、临床和实验室数据进行分析,以确定复发的相关因素。然后使用Cox比例风险模型计算预测复发的风险评分。复发的独立预测因素为体温38.3℃或更高、基线血培养阳性以及治疗前症状持续时间<10天。根据风险评分进行分层显示,风险组之间的复发率有显著差异(P<0.0001)。低风险组在12个月时复发概率为4.5%(135例中有6例)。相比之下,中风险组47例患者中有15例复发(P<0.0017);高风险组18例患者中有12例复发(P<0.0001)。本研究为评估急性布鲁氏菌病患者的复发风险提供了合理依据,可能有助于确定哪些患者可能从额外关注中获益。

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