Chronic kidney disease prevalence among health care providers in Bangladesh

Mymensingh Med J. 2010 Jul;19(3):415-21.


Chronic kidney disease (CKD) progresses to end-stage renal disease (ESRD) and is a silent epidemic throughout the world. In this study 1200 adult participants from health service providers working in a medical university of Dhaka were screened for detection of chronic kidney disease. It is a cross-sectional study to examine the prevalence and associated CKD risk factors. CKD was defined as an estimated glomerular filtration rate (GFR) <60 mL/min/1.73 m2 or the presence of albuminuria. Detailed history was obtained from participants at the baseline visit in a case report form. Associations between CKD prevalence and selected demographic, socioeconomic and risk factors were assessed. The prevalence of Chronic Kidney Disease was 9.9% according to Cock-Croft Gault (C-G) equation and 7.2% according to modification of diet in renal disease (MDRD) study Equation. Most of them were in stage 1-3 (7.9% in CG; 7.2% in MDRD). Among CKD patients, physicians were found to be at lower risk (39.3%) of developing CKD than other occupants working in the same hospital. Participants with lower income <30,000 Tk/month (68.8%) were also observed to be significantly associated with CKD. Approximately 17.3% were hypertensive; 4.5% were diabetic and 2.9% were proteinuric. Age >40 years (76.9%) and females (51.9%) were significantly prone to develop CKD. The risk factors like Diabetes (DM), hypertension (HTN) and combined diabetes and hypertension were demonstrated to be significantly associated with CKD. So, even in health care providers prevalence of CKD is significant and varies according to awareness of CKD, access to CKD programs and socio-economic status. This emphasizes the need for earlier diagnosis and increased awareness of health care providers and the general population.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Albuminuria
  • Bangladesh / epidemiology
  • Cross-Sectional Studies
  • Female
  • Glomerular Filtration Rate
  • Health Personnel* / statistics & numerical data
  • Humans
  • Male
  • Middle Aged
  • Occupations
  • Prevalence
  • Renal Insufficiency, Chronic / epidemiology*
  • Risk Factors
  • Socioeconomic Factors