首页|体质指数与血尿酸联合发展轨迹与非酒精性脂肪性肝病的关系

体质指数与血尿酸联合发展轨迹与非酒精性脂肪性肝病的关系

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目的 确定体质指数(BMI)与血尿酸的联合发展轨迹,并探究不同轨迹组与非酒精性脂肪性肝病(NAFLD)发病的相关性,为NAFLD的一级防控提供新思路.方法 选取2015年1月至2022年12月于大连医科大学附属第二医院健康管理中心进行过3次及以上常规体检且符合纳入排除标准的19 504例体检者作为研究对象,利用Stata 15.1软件进行基于组的双轨迹模型建模,确定BMI与血尿酸联合发展模式.在男性与女性中均确定了 4个轨迹组,分别为持续低水平BMI伴低水平增长血尿酸组(第1组)、持续中水平BMI伴低水平增长血尿酸组(第2组)、持续中水平BMI伴高水平增长血尿酸组(第3组)、持续高水平BMI伴中水平增长血尿酸组(第4组).使用SPSS 25.0软件建立Cox比例风险回归模型来评估不同轨迹组发生NAFLD的风险.结果 男性第1至第4轨迹组的NAFLD发病密度分别为27.49/1 000人年、85.71/1 000人年、133.89/1 000人年和221.19/1 000人年,女性第1至第4轨迹组的发病密度依次为4.11/1 000人年、30.59/1 000人年、53.10/1 000人年和141.39/1 000人年.Cox比例风险回归分析结果显示,调整基线年龄、临床指标以及基线BMI和基线血尿酸后,以第1组为参照组,男性第2组(HR=2.53)、第3组(HR=3.32)、第4组(HR=5.22)的NAFLD风险均升高,女性第2组(HR=5.89)、第3组(HR=7.81)、第4组(HR=20.58)发生NAFLD的风险均升高,均有统计学意义(P<0.01).结论BMI与血尿酸的纵向变化轨迹有着不同的组合模式,并对NAFLD风险产生不同程度的影响,综合评估BMI与血尿酸的发展模式有助于更准确地识别NAFLD高风险人群.
Relationship between body mass index/serum uric acid co-development trajectories and non-alcoholic fatty liver disease
Objective To determine the joint development trajectories of body mass index(BMI)and serum uric acid,and explore the correlation between different trajectory groups and non-alcoholic fatty liver disease(NAFLD),and provide the new ideas for primary prevention and control of NAFLD.Methods A total of 19 504 subjects who had undergone 3 or more routine physical examinations and met the inclusion criteria in the Health Management Center of the Second Affiliated Hospital of Dalian Medical University from January 2015 to December 2022 were selected as the subjects.Stata 15.1 software was used to establish the group-based dual-trajectory modeling for determining the joint development model of BMI and serum uric acid.Four trajectory groups were identified in males and females:persistent low BMI level with increase in serum uric acid at low level(group 1),persistent medium BMI level with increase in serum uric acid at low level(group 2),persistent medium BMI level with increase in scrum uric acid at high level(group 3),and persistent high BMI level with increase in serum uric acid at medium level(group 4).Cox proportional hazard regression model was used to evaluate the NAFLD risk in different trajectory groups.The used software was SPSS 25.0.Results The incidence densities were 27.49/103 person-years,85.71/103 person-years,133.89/103 person-years,and 221.19/103 person-years in trajectory groups 1-4 for males;the incidence densities order was 4.11/103 person-years,30.59/103 person-years,53.10/103 person-years,141.39/103 person-years in trajectory groups 1-4 for females.The results of Cox proportional hazard regression analysis showed that after adjusting baseline age,clinical indicators,baseline BMI and baseline serum uric acid,group 1 served as the reference group,the risk of NAFLD in group 2(HR=2.53),group 3(HR=3.32)and group 4(HR=5.22)of males increased,and the risk of NAFLD in group 2(HR=5.89),group 3(HR=7.81)and group 4(HR=20.58)of females increased(P<0.01).Conclusion The longitudinal change trajectories of BMI and serum uric acid have different combination modes,and have different effects on the risk of NAFLD.A comprehensive evaluation of the development modes of BMI and serum uric acid is helpful to more accurately identify the high-risk population of NAFLD.

Body mass indexSerum uric acidNon-alcoholic fatty liver diseaseTrajectory model

唐桂敏、苗鑫蕾、王倩倩、牛相钧、赵婉、胡曼玲、宋子萍、冷松

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大连医科大学附属第二医院健康管理中心,辽宁省大连 116023

大连医科大学公共卫生学院,辽宁省大连 116000

体质指数 血尿酸 非酒精性脂肪性肝病 轨迹模型

辽宁省应用基础研究计划大连医科大学附属第二医院"1+X"计划大连医科大学附属第二医院临床教学能力提升"1+X"计划

2023JH2/1013000742022DXDLO12023YXYJSXWLW004

2024

中国慢性病预防与控制
中华预防医学会,天津市疾病预防控制中心

中国慢性病预防与控制

CSTPCD北大核心
影响因子:1.093
ISSN:1004-6194
年,卷(期):2024.32(3)
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