Prevalence and influencing factors of leprosy reactions from2010 to 2019 in Zhejiang Province
10.19485/j.cnki.issn2096-5087.2020.11.005
- VernacularTitle:2010—2019年浙江省麻风反应及影响因素研究
- Author:
KONG Wenming
1
;
YAO Qiang
;
SHEN Yunliang
;
WU Limei
;
YU Xiaobing
Author Information
1. Zhejiang Provincial Institute of Dermatology
- Publication Type:Journal Article
- Keywords:
leprosy leprosy reactions multidrug therapy bacterial index floating population
- From:
Journal of Preventive Medicine
2020;32(11):1100-1103
- CountryChina
- Language:Chinese
-
Abstract:
Objective :To analyze the prevalence and influencing factors of leprosy reactions in Zhejiang Province from 2010 to 2019, so as to provide reference for the control of leprosy.
Methods:Through the national leprosy management system, the new leprosy cases in Zhejiang Province from 2010 to 2019 were recruited to analyze the incidence of leprosy reactions in different demographic characteristics and leprosy clinical features. The multivariate logistic regression analysis was conducted to explore the influencing factors for leprosy reactions.
Results :Totally 191 leprosy cases were investigated. The incidence rate of leprosy reactions was 29.32%; the the incidence rate of typeⅠand type Ⅱreaction was 16.75% and 9.42%, respectively. There were 33 leprosy reaction cases (58.93%) before multidrug therapy (MDT) , 13 cases (23.21%) during 0-6 months of MDT, 5 cases (8.93%) during 7-12 months of MDT, 3 cases (5.36%) during over 12 months of MDT, and 2 cases (3.57%) after MDT. The results of the multivariate logistic analysis showed that the cases who were 35 years old or below (OR=2.245, 95%CI: 1.006-5.008) , were not floating population (OR=3.442, 95%CI: 1.394-8.494) , were infected outside family (OR=3.878, 95%CI: 1.075-13.993) and were smear positive (>0+,OR=4.514, 95%CI: 1.365-14.926; >3+,OR=4.727, 95%CI: 1.443-15.485) were risk factors for leprosy reactions.
Conclusions:The prevalence of leprosy reactions is high in Zhejiang Province from 2010 to 2019, and is associated with age, floating population, source of infection and BI.
- Full text:2010—2019年浙江省麻风反应及影响因素研究.pdf
