Journal of Occupational
Health and Epidemiology
Rafsanjan university Of medical sciences
Raju Nagaraju1 
, Kalahasthi Ravi Babu *2 , Surendar Jakkam3 , Ravi Prakash Jamalpur4 , Vinay Kumar Adepu1
, Kalahasthi Ravi Babu *2 , Surendar Jakkam3 , Ravi Prakash Jamalpur4 , Vinay Kumar Adepu1
1- Ph.D. in Biochemistry, Dept. of Biochemistry, Regional Occupational Health Centre Southern, Kannamangala Post Poojanahalli, Devanahalli, Bengaluru, India.
2- Ph.D. in Biochemistry, Dept. of Biochemistry, Regional Occupational Health Centre Southern, Kannamangala Post Poojanahalli, Devanahalli, Bengaluru, India. ,kalahasthi20012002@yahoo.co.in
3- M.Sc. in Occupational Medicine, Dept. of Occupational Medicine, Regional Occupational Health Centre (Southern), Poojanahalli, Bengaluru, India.
4- M.Sc. in Biochemistry, Dept. of Biochemistry, Regional Occupational Health Centre Southern, Kannamangala Post Poojanahalli, Devanahalli, Bengaluru, India.
2- Ph.D. in Biochemistry, Dept. of Biochemistry, Regional Occupational Health Centre Southern, Kannamangala Post Poojanahalli, Devanahalli, Bengaluru, India. ,
3- M.Sc. in Occupational Medicine, Dept. of Occupational Medicine, Regional Occupational Health Centre (Southern), Poojanahalli, Bengaluru, India.
4- M.Sc. in Biochemistry, Dept. of Biochemistry, Regional Occupational Health Centre Southern, Kannamangala Post Poojanahalli, Devanahalli, Bengaluru, India.
Article history
Received: 2024/08/12
Accepted: 2025/01/16
Accepted: 2025/01/16
Subject:
Epidemiology
Abstract: (81 Views)
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). S. creatinine was analysed. 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 levelwas 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/m²) 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.
Materials and Methods: A cross-sectional study was conducted on 132 industrial workers (91 men and 41 women). S. creatinine was analysed. 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 levelwas 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/m²) 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.
Keywords: Chronic Kidney Disease of Unknown Etiology [MeSH], Workers [MeSH], Glomerular Filtration Rate [MeSH]
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