Comparison of Chronic Kidney Disease Unknown Etiology (CKDu) Prevalence in Industrial Workforce Using Different eGFR Equations

Background: Industrial workers are vulnerable to the development of kidney disease owing to the associated risk factors and work-related fatigue.It is essential to compare the prevalence of CKDu among workers using different (eGFR) equations.This study aims to evaluate prevalence of CKDu among industrial workers and compare using different eGFR equations.Materials and Methods: A cross-sectional study was conducted on 132 industrial workers (91 men and 41 women).Serum creatinine was analysed and eGFR values were calculated based on the modification of diet in renal disease-175 (MDRD-175), MDRD-186, Cockcroft Gault (CG), and chronic kidney disease-epidemiology collaboration (CKD-EPI) equations.CKDu stages were ascertained using KDIGO guidelines.Results: Average age and BMI of the workers were 33.5 years and 24 kg/m2, respectively.Mean serum creatinine level was 1.0 (0.3-1.8) mg/dL.The CKD-EPI equation revealed highest mean eGFR value followed by CG, MDRD-186, and MDRD-175.CKDu prevalence among workers was 9.1% with MDRD-175, 4.6% as per MDRD-186, 9.9% in CG, and 3.1% as per CKD-EPI equations.Notably, the mean creatinine and eGFR values were lower in female workers when compared to males.Further, the prevalence of CKDu stage 2 was higher in females, while stage 3 (eGFR < 60 mL/min/m) was significantly more prevalent among males than females. Conclusion:The prevalence of CKDu was found to be significantly higher among male than female workers.The rates of CKDu determined using MDRD-186 and CKD-EPI equations were comparable and can be used to predict the CKDu prevalence among industrial workers from different occupational settings.

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Journal
Journal of Occupational Health and Epidemiology
Published
2025-03-01
DOI
https://doi.org/10.61882/johe.14.2.108
Primary Topic
Energy and Environment Impacts
Type
article
Field-Weighted Citation Impact
0.00

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article

Comparison of Chronic Kidney Disease Unknown Etiology (CKDu) Prevalence in Industrial Workforce Using Different eGFR Equations

Vinay Kumar Adepu, Jakkam Surendar, Raju Nagaraju, Ravi Prakash Jamalpur et al.
Journal of Occupational Health and Epidemiology
Energy and Environment Impacts
article

Comparison of Chronic Kidney Disease Unknown Etiology (CKDu) Prevalence in Industrial Workforce Using Different eGFR Equations

Vinay Kumar Adepu, Jakkam Surendar, Raju Nagaraju, Ravi Prakash Jamalpur, Kalahasthi Ravi Babu
article en

Abstract

Background: Industrial workers are vulnerable to the development of kidney disease owing to the associated risk factors and work-related fatigue.It is essential to compare the prevalence of CKDu among workers using different (eGFR) equations.This study aims to evaluate prevalence of CKDu among industrial workers and compare using different eGFR equations.Materials and Methods: A cross-sectional study was conducted on 132 industrial workers (91 men and 41 women).Serum creatinine was analysed and eGFR values were calculated based on the modification of diet in renal disease-175 (MDRD-175), MDRD-186, Cockcroft Gault (CG), and chronic kidney disease-epidemiology collaboration (CKD-EPI) equations.CKDu stages were ascertained using KDIGO guidelines.Results: Average age and BMI of the workers were 33.5 years and 24 kg/m2, respectively.Mean serum creatinine level was 1.0 (0.3-1.8) mg/dL.The CKD-EPI equation revealed highest mean eGFR value followed by CG, MDRD-186, and MDRD-175.CKDu prevalence among workers was 9.1% with MDRD-175, 4.6% as per MDRD-186, 9.9% in CG, and 3.1% as per CKD-EPI equations.Notably, the mean creatinine and eGFR values were lower in female workers when compared to males.Further, the prevalence of CKDu stage 2 was higher in females, while stage 3 (eGFR < 60 mL/min/m) was significantly more prevalent among males than females. Conclusion:The prevalence of CKDu was found to be significantly higher among male than female workers.The rates of CKDu determined using MDRD-186 and CKD-EPI equations were comparable and can be used to predict the CKDu prevalence among industrial workers from different occupational settings.

Journal of Occupational Health and EpidemiologyVol. 14(2)
Regional Health (US), Southern Regional Area Health Education Centers (US)
Indian Council of Medical Research
Openalex Percentile: Top 82%
Energy and Environment Impacts
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