代谢性肥胖中的微量白蛋白尿:孟加拉国一家选定的三级护理医院的横断面研究

Sharmin Sultana, Md. Matiur Rahman, Rinky Rani Saha, Md Golam Ahad, J. S. Shila, Md. Aminul Haque Khan
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引用次数: 0

摘要

背景:超重和肥胖的个体可能没有心脏代谢风险,而正常体重的个体可能存在心脏代谢风险。“代谢性肥胖”一词已被提出,以确定隐藏的代谢风险,而与BMI无关。代谢性肥胖的病理生理学可以用微血管功能障碍来解释,微量白蛋白尿是微血管功能障碍的一个众所周知的标志。目的:本研究的目的是了解孟加拉国成年受试者微量白蛋白尿与代谢性肥胖的关系。材料和方法:这项横断面分析研究包括2018年3月至2019年2月在达卡Bangabandhu Sheikh Mujib医科大学(BSMMU)门诊就诊的200名患者。根据代谢综合征(MetS)标准,研究对象分为代谢性肥胖(代谢不健康)组和代谢性非肥胖(代谢健康)组。代谢综合征是根据南亚改良国家胆固醇教育计划(NCEP)定义的。微量白蛋白尿定义为尿白蛋白与肌酐之比为30至300mg/g。测量人口统计学特征、血压、身高、体重、腰围等,估计空腹血糖、血清甘油三酯、血清HDL-C,并计算白蛋白与肌酐的比值(ACR)。结果:代谢性肥胖(代谢不健康)组和代谢性非肥胖(代谢健康)组的患病率分别为128(64%)和72(36%)。与代谢非肥胖组相比,代谢性肥胖组的年龄(p值0.001)、体重指数(p值0.027)、腰围(p<0.001)、收缩压(SBP)(p<001)和舒张压(DBP)(p<0.001)的平均值、空腹血糖(p<.001)和甘油三酯(p<0.01)显著更高。在研究受试者中,代谢性肥胖组的微量白蛋白尿患病率为32.5%,微量白蛋白尿的患病率非常高(38.3%),而代谢性非肥胖组的微白蛋白尿发病率为22.2%,具有统计学意义(p值0.02),空腹血糖(p<0.001)和甘油三酯(p<0.008)与微量白蛋白尿显著相关。在逻辑回归分析中,舒张压(p值0.015)和FBS(p值0.039)与微量白蛋白尿显著相关。在统一统计分析后,我们的研究表明,血压升高和空腹血糖与微量白蛋白尿有很强的相关性,可能是导致孟加拉国成年人群中大量受试者出现代谢性肥胖的关键因素。结论:我们的研究得出结论,在孟加拉国成年人群中,代谢性肥胖(代谢不健康)中微量白蛋白尿的患病率显著较高。微量白蛋白尿与代谢性肥胖的关系主要归因于高舒张压和空腹血糖。《搪瓷医学杂志》2020;10(3):159-168
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microalbuminuria in Metabolic Obesity: A Cross-Sectional Study in a Selected Tertiary Care Hospital of Bangladesh
Background: Overweight and obese individuals may have no cardiometabolic risk whereas normal weight individuals may present with cardiometabolic risk. The term‘Metabolic obesity’ has been floated to identify hidden metabolic risks irrespective of BMI. The pathophysiology of metabolic obesity can be explained by microvascular dysfunction and microalbuminuria is a wellknown marker of microvascular dysfunction. Objective: The objective of this study was to find out the association of microalbuminuria with metabolic obesity in Bangladeshi adult subjects. Materials and Methods: This cross- sectional analytical study included 200 individuals who attended outpatient department in Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka from March 2018 to February 2019. The study subjects were divided into metabolically obese (metabolically unhealthy) group and metabolically non-obese (metabolically healthy) group by metabolic syndrome (MetS) criteria. Metabolic syndrome was defined according to the South Asian Modified-National Cholesterol Education Program (NCEP). Microalbuminuria was defined as a urinary albumin to creatinine of 30 to 300 mg/gm. Demographic profile, BP, height, weight, waist circumference etc. were measured and fasting blood glucose, serum triglyceride, serum HDL-C were estimated and albumin to creatinine ratio (ACR) was calculated. Statistical analysis was done using SPSS version 22.0. Results: The frequencies of metabolically obese (metabolically unhealthy) group and metabolically non-obese (metabolically healthy) group were 128 (64%) and 72 (36%) respectively. Mean values for age (p value 0.001), body mass index (p value 0.027), waist circumference (p<0.001), systolic blood pressure (SBP) (p<0.001) and diastolic blood pressure (DBP) (p<0.001), fasting blood glucose (p<0.001) and triglycerides (p<0.001) were significantly higher in the metabolically obese group compared to metabolically non-obese group. Among the study subjects, the prevalence of microalbuminuria was 32.5% and prevalence of microalbuminuria was found very high (38.3%) in metabolically obese group, whereas microalbuminuria in metabolically non-obese group was found 22.2%, which was statistically significant (p value 0.02). Our results showed that diastolic BP (p<0.001), systolic BP (p<0.001), fasting blood sugar (p<0.001) and triglyceride (p<0.008) were significantly correlated with microalbuminuria. In the logistic regression analysis, diastolic BP (p value 0.015) and FBS (p value 0.039) were significantly associated with microalbuminuria. After harmonization of statistical analysis, our study indicated that elevated blood pressure and fasting blood sugar had strong association with microalbuminuria and are likely to be critical components that lead a substantial number of subjects to the prestage of metabolic obesity in the Bangladeshi adult population. Conclusion: Our study concludes that the prevalence of microalbuminuria is significantly high in metabolic obesity (metabolically unhealthy) in Bangladeshi adult population. Association of microalbuminuria with metabolic obesity is mainly attributed to high diastolic blood pressure and fasting blood glucose. J Enam Med Col 2020; 10(3): 159-168
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