Predictive factors in Patients Chronic Kidney Disease stage 3 - 5, Chaiya Hospital, Surat-Thani

Authors

  • Ketsarin Bunrod
  • Aranya Rakhab Faculty of Nursing, Suratthani Rajabhat University
  • Apinya Ingard

Keywords:

predictive factor, chronic kidney disease stage 3-5, glomerular filtration rate

Abstract

Chronic kidney disease is a significant global health problem including Thailand. This retrospective cohort study employed medical record of patients with chronic kidney disease stage 3 - 5 aimed to predict the factors of patients with chronic kidney disease stage 3,4 before progression to end- stage renal disease at Chaiya Hospital, Surat-Thani.  The data collection was done during 2016-2022.  The sample was 158 patients with chronic kidney disease stage 3-5 at NCDs clinic, Chaiya Hospital, Surat-Thani. The electronic database from medical record using discriminant analysis technique to predict factors of each stage progression in patients with chronic kidney disease.  The stage 3-5 of chronic kidney disease before progression to end- stage renal disease.  The results revealed that patients with chronic kidney disease stage 3, 4, 5 as 48.10 %, 29.11% and 22.78 % respectively. The factors significantly predicted the chronic kidney disease stage 3, 4 before progression to end- stage renal disease included creatinine level, systolic blood pressure, hematocrit and uric acid. The predicted model of each stage in patients with chronic kidney disease stage 3 - 5 would be shown in below as

eGFR Stage 3 = -44.551 + 0.830Cr + 0.398SBP + 1.126Uric + 2.283Hb,     

eGFR Stage 4 = -46.631 + 1.388Cr + 0.411SBP + 1.300Uric + 2.073Hb,

eGFR Stage 5 = -52.542 + 3.188Cr + 0.412SBP + 0.965Uric + 1.919Hb

This model reflected that the progression before the end- stage renal disease, healthcare providers such as doctors and NCDs’ nurses should be applied this predicted model for planning, assessing and monitoring each stage risk of chronic kidney disease. An individual nursing care plan for each stage of renal failure patients should be considered modifying health risk behaviors individually.  

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Published

2023-09-12

How to Cite

Bunrod, K., Rakhab, A., & Ingard, A. (2023). Predictive factors in Patients Chronic Kidney Disease stage 3 - 5, Chaiya Hospital, Surat-Thani . Princess of Naradhiwas University Journal, 15(3). Retrieved from https://li01.tci-thaijo.org/index.php/pnujr/article/view/259914

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บทความวิจัย