Survival and Mortality Predictors Among Hemodialysis Patients in a Pakistani Tertiary Care Center: A Retrospective Cohort Study

Authors

  • Irfan Elahi Department of Nephrology, King Edward Medical University, Lahore, Punjab, Pakistan.
  • Mehwish Mushtaq Metrics Research Private Limited, Pakistan.
  • Muhammad Anees Department of Nephrology, King Edward Medical University, Lahore, Punjab, Pakistan.
  • Shahbaz Pervaiz Department of Nephrology, King Edward Medical University, Lahore, Punjab, Pakistan.
  • Sana Kifayat Department of Nephrology, King Edward Medical University, Lahore, Punjab, Pakistan.
  • Bilal Javaid Department of Nephrology, Faisalabad Medical University, Faisalabad, Punjab, Pakistan.
  • SameeUllah Khan Department of Nephrology, Sahiwal Medical College, Sahiwal, Punjab, Pakistan.

DOI:

https://doi.org/10.70749/ijbr.v3i5.1279

Keywords:

Hemodialysis, Survival analysis, Cox Regression, End-stage renal disease (ESRD), Albumin, BMI, Mortality predictors, Pakistan, Maintenance Hemodialysis (MHD)

Abstract

Background: End-stage renal disease (ESRD) is a growing public health burden in low- and middle-income countries, including Pakistan, where access to maintenance hemodialysis (MHD) is expanding, but long-term survival outcomes remain underreported. This study evaluated the survival duration and clinical predictors of mortality among patients undergoing MHD at a tertiary care hospital in Pakistan. Methods: A retrospective analysis of prospectively collected data was conducted on patients receiving MHD between 2012 and 2014 at Mayo Hospital, King Edward Medical University, Lahore. Patients on dialysis for ≥3 months were included. Demographic and clinical data were extracted from records. Survival was assessed using Kaplan-Meier analysis, and predictors of mortality were evaluated using Cox proportional hazards regression. Results: Of the 158 patients enrolled, 152 met inclusion criteria. Over a 122-week follow-up, 48 (31.5%) patients died and 104 survived. The overall mean survival was 108 ± 2 weeks. Multivariable Cox regression identified increasing age (HR = 1.04, p<0.001), body weight (HR = 1.03, p=0.015), and underweight status (HR = 1.93, p=0.034) as independent risk factors for mortality. Conversely, higher body mass index (BMI) (HR = 0.80, p<0.001) and serum albumin (HR = 0.52, p=0.036) were protective. Conclusion: Survival in hemodialysis patients is significantly influenced by age, nutritional status, and albumin levels. These findings support the implementation of routine nutritional assessments and targeted interventions to reduce mortality. Future studies should explore broader determinants in multicenter prospective cohorts to improve long-term outcomes for ESRD patients in resource-limited settings.

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Published

2025-05-31

How to Cite

Elahi, I., Mushtaq, M., Anees, M., Pervaiz, S., Kifayat, S., Javaid, B., & Khan, S. (2025). Survival and Mortality Predictors Among Hemodialysis Patients in a Pakistani Tertiary Care Center: A Retrospective Cohort Study. Indus Journal of Bioscience Research, 3(5), 759–763. https://doi.org/10.70749/ijbr.v3i5.1279