Assessment of chronic kidney disease and associated factors at Wolkite University Specialized Hospital: A

Bisrat Fikadu Habtu1, Fanta Obsa2, Waqtola Cheneke3

  • 1Department of Medical Laboratory Sciences, Wolkite University, Wolkite 07, Ethiopia. bisratfikadu54@gmail.com.

PubMed

Insights

Chronic kidney disease (CKD) affects 15.7% of patients at a specialized hospital in Ethiopia. Key risk factors include older age, hypertension, diabetes, high BMI, and anemia, highlighting the need for early detection.

Area of Science:

  • Nephrology
  • Public Health
  • Epidemiology

Background:

  • Chronic kidney disease (CKD) is a growing global health concern, projected to become the 5th leading cause of death by 2040.
  • Despite its impact, data on CKD prevalence and associated factors in Ethiopia remain limited.
  • This study addresses the knowledge gap by investigating CKD magnitude at Wolkite University Specialized Hospital (WKUSTH).

Purpose of the Study:

  • To determine the prevalence of chronic kidney disease (CKD) among adult patients at WKUSTH.
  • To identify factors associated with CKD in this patient population.

Main Methods:

  • An institutional-based cross-sectional study utilizing secondary data from 345 patients at WKUSTH.
  • Estimated glomerular filtration rate (eGFR) was calculated using CKD-EPI formula, with creatinine and urea levels measured.
  • Socio-demographic and clinical data were collected via questionnaire; statistical analysis included bivariate and multivariate logistic regression.

Main Results:

  • The prevalence of CKD, defined by impaired eGFR, was 15.7% (95% CI: 0.116-0.194).
  • Independent factors associated with CKD included older age (AOR=5.91), hypertension (AOR=10.41), diabetes mellitus (AOR=5.90), high body mass index (AOR=3.0), and anemia (AOR=2.94).

Conclusions:

  • CKD prevalence is high among adult patients admitted to WKUSTH.
  • Further population-based and longitudinal studies are recommended to understand CKD magnitude and factors comprehensively.
  • Routine eGFR estimation for hospitalized patients could facilitate early CKD detection and complication prevention.
Abstract

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