基于Logistic回归模型对人感染H7N9病例生存影响因素分析

doi:10.3969/j.issn.1002-2694.2018.00.116

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Abstract We explored and discussed the factors that affect the survival rate of human infected with H7N9. Retrospective analysis was used for 28 H7N9 cases occurred in Guangxi from January to June in 2017, and Logistic-Regression Model was used to analyze the factors influencing the survival rate of H7N9 cases. Results showed that factors affecting survival rate in H7N9 cases were not only related to health history, but also to medical treatment. According to Logistic regression model, the impact of human infection with H7N9 cases survival rate relevant to age(OR=0.857,95%CI:0.728-1.010, chronic illness history(OR=336.393,95%CI:1.658-68267.987)and contact exposure history(OR=73.173,95%CI:1.640-3265.287)in the part of health history, with in another part of medical treatment history, the survival rate of human infected H7N9 cases relevant to interval from occurrence to first diagnosis(OR=1.359,95%CI:0.976-1.893), and the interval from first diagnosis to definite diagnosis(OR=1.203,95%CI:1.203-15.091). Chronic illness history and contact exposure history are high-risk factors affecting mortality of H7N9 infected cases. What’s more, the longer interval between occurrence to first diagnosis, and between first diagnosis to definite diagnosis, the greater risk of mortality in H7N9 infected cases. The "five early" measures, such as early detection, early diagnosis, early reporting, early isolation, and early treatment should be key methods to reduce mortality and improve prognosis of patients.

Key words： human infection with avian influenza A(H7N9)virus logistic regression model influencing factors

Received: 02 November 2017

PACS:

R373.1

Fund:Supported by the Talents Highland of Emergency and Medical Rescue of Guangxi Province in China (Nos. GXJZ201608, GXJZ201619)

Corresponding Authors: Liu De-cheng, Email: gxwstyjb@163.com

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	HUANG Min
	HUANG Yang
	HE Ze-wei
	LIU De-cheng

Cite this article:

HUANG Min,HUANG Yang,HE Ze-wei等. Factors influencing the survival of human infection with avian influenza A(H7N9)virus cases based on Logistic Regression Model[J]. Chinese Journal of Zoonoses, 2018, 34(11): 1006-1009.

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http://www.rsghb.cn/EN/10.3969/j.issn.1002-2694.2018.00.116 OR http://www.rsghb.cn/EN/Y2018/V34/I11/1006

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