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Year : 2021  |  Volume : 12  |  Issue : 2  |  Page : 140-145

Prediction and risk factor analysis of obesity-related proteinuria among individuals with metabolic syndrome

1 Department of Biochemistry, SRR & CVR Govt. Degree College (A), Vijayawada, India
2 Department of Biochemistry, Acharya Nagarjuna University, Guntur, India
3 Department of Biochemistry, Gitam University, Visakhapatnam, India
4 Department of Biotechnology, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India

Correspondence Address:
Dr. P Kiranmayi
Department of Biochemistry, Acharya Nagarjuna University, Nagarjuna Nagar, Guntur 522510, Andhra Pradesh.
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/jod.jod_37_20

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Objective: In the present modern era of time, poor and frantic lifestyle has led to an enumerate increase in the number of people with obesity and metabolic syndrome (MS). Epidemiological studies have shown the incidence of chronic kidney disease (CKD) risk factors in individuals with obesity and MS; despite the nonclear evidence on the existing potential risk factors, it became important to reassess existing potential risk factors that are involved in disease progression and its further complications. The strongest risk factor of CKD, albumin-to-creatinine ratio (ACR) recognized as a marker of MS and obesity. This study was carried out to identify the association of obesity (body mass index [BMI]) as a risk factor for albuminuria and to observe the dependence and association with albuminuria of each critical and basic factor of MS. Design: We conducted the potential risk factor analysis on 913 subjects, including 398 females and 515 males, from various diabetic hospitals of Vijayawada, Andhra Pradesh from early 2013 to June 2015. The medical records of the patients followed up; the anthropometric measurements and clinical parameters were retrospectively collected. The total subjects were categorized as subjects with and without MS as per National Cholesterol Education Program Adult Treatment Panel (NCEP-ATPIII) and the subjects with BMI more than 30 kg/m2 were defined as obese according to WHO classification. Results: Student’s t test analysis indicates a significant difference for ACR with mean values of 39.5 ± 44.8 and 18.4 ± 24.3 (P < 0.0001) in subjects with MS and without MS, 43.4 ± 48.3 and 36.7 ± 42.5 (P < 0.02) in obese and nonobese subjects, respectively. Chi-square analysis showed a significant association (P < 0.05) between MS and ACR and correlation analysis manifested significant association (P < 0.01) between ACR and FBS, TG, B.P, and Age in subjects with MS. The subjects with high prevalence of albuminuria exhibited significant association with an odds ratio (OR) of 1 (referent) 1.9 (95% CI, 1.34–2.58, P = 0.0002), 1.5 (95% CI, 1.11–1.96, P = 0.0082) for FBS >110 mg/dL, and TG > 150 mg/dL, respectively. Although the subjects with obesity showed no correlation with albuminuria, the risk for albuminuria was 1.5 times (95%CI 1.03–2.40, P = 0.03) higher among obese male subjects compared to obese female subjects. Conclusion: Our study strongly supports that albuminuria is highly prevalent among the subjects, with MS showing a significant positive association between obesity (BMI) with albuminuria in males only.

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