湖南省长沙市痛风患者危险因素流行病学调查

目的 调查湖南省长沙市痛风患者的危险因素特点,为痛风的临床防治提供科学依据。 方法 随机选择2017年7月－2018年10月湘雅医院风湿免疫科确诊的长沙市痛风患者102例(痛风组)及湘雅医院就诊的长沙市非痛风患者105例(对照组)为研究对象,进行问卷调查,用单因素和多因素方法分析各因素与痛风发病的相关性。 结果 痛风组、对照组的男女性别构成(男性:95.10% vs.42.86%)、年龄(46.02±14.49)岁 vs.(36.88±13.40)岁]、BMI(24.70±0.28)kg/m² vs.(22.95±0.46)kg/m²]、劳动强度构成(较大强度:54.90% vs.7.62%)、饮白酒史占比(52.94% vs.14.29%)、吸烟史占比(36.28% vs.15.24%)、高血压史占比(28.43% vs.8.57%)、高血脂史占比(42.16% vs.9.52%)、肾脏疾病史占比(21.57% vs.1.91%),差异有统计学意义(P＜0.05)。以是否患痛风为因变量的多因素非条件logistic回归分析表明,男性(OR=6.245,95%CI:1.647~23.669)、饮白酒史(OR=2.404,95%CI:1.231~7.039)、肾脏疾病史(OR=12.669,95%CI:1.609~99.737)、劳动强度较大(OR=4.415,95%CI:1.605~12.148)是痛风发病的独立危险因素。 结论 男性、高龄、BMI高、劳动强度较大、饮白酒、吸烟,以及有高血压、高血脂、肾脏疾病史者需高度警惕痛风的发生

Epidemiological investigation of risk factors for gout patients in Changsha city,Hunan province

Objective To survey the characteristics of risk factors for gout patients in Changsha city, Hunan province, and to provide a scientific basis for clinical prevention and treatment of gout. Methods We randomly selected 102 gout patients (the gout group) and 105 non-gout patients (the control group) confirmed by Rheumatology and Immunology Department of Xiangya Hospital in Changsha city from July 2017 to October 2018 to serve as the research subjects. Questionnaire surveys were conducted, and then single factor and multiple factor analyses were performed to identify the correlation between each factor and pathogenesis of gout. Results There were statistically significant differences in the constituent ratio of male and female (male: 95.10% vs. 42.86%), age ((46.02±14.49) years old vs. (36.88±13.40) years old), body mass index ((24.70±0.28) kg/m² vs. (22.95±0.46) kg/m²), the constituent ratio of labor intensity (high labor intensity: 54.90% vs. 7.62%), the proportion of history of drinking (52.94% vs. 14.29%), the proportion of history of smoking (36.28% vs. 15.24%), the proportion of history of hypertension (28.43% vs. 8.57%), the proportion of history of hyperlipoidemia (42.16% vs. 9.52%) and the proportion of history of kidney diseases (21.57% vs. 1.91%) between the gout group and the control group (all P<0.05). Multi-factor unconditional logistic regression analysis based on considering whether suffering gout as a dependent variable indicated that male (OR=6.245, 95%CI:1.647-23.669), history of drinking (OR=2.404, 95%CI:1.231-7.039), history of kidney diseases (OR=12.669, 95%CI:1.609-99.737) and high labor intensity (OR=4.415, 95%CI:1.605-12.148) were independent risk factors for gout. Conclusions It is very important for the male, the elderly, the obese, workers with high labor intensity, drinkers, smokers and people with history of hypertension, hyperlipidemia and kidney diseases to maintain strict and constant vigilance over gout.