Late diagnosis of CKD and associated survival after initiation of renal replacement therapy in Kazakhstan: analysis of nationwide electronic healthcare registry 2014-2019

Ren Fail. 2024 Dec;46(2):2398182. doi: 10.1080/0886022X.2024.2398182. Epub 2024 Sep 4.

Abstract

Chronic kidney disease (CKD) presents a significant global health challenge, often progressing to end-stage renal disease (ESRD) necessitating renal replacement therapy (RRT). Late referral (LR) to nephrologists before RRT initiation is linked with adverse outcomes. However, data on CKD diagnosis and survival post-RRT initiation in Kazakhstan remain limited. This study aims to investigate the impact of late CKD diagnosis on survival prognosis after RRT initiation. Data were acquired from the Unified National Electronic Health System (UNEHS) for CKD patients initiating RRT between 2014 and 2019. Survival post-RRT initiation was assessed using the Cox Proportional Hazards Model. Totally, 211,655 CKD patients were registered in the UNEHS databases and 9,097 (4.3%) needed RRT. The most prevalent age group among RRT patients is 45-64 years, with a higher proportion of males (56%) and Kazakh ethnicity (64%). Seventy-four percent of patients were diagnosed late. The median follow-up time was 537 (IQR: 166-1101) days. Late diagnosis correlated with worse survival (HR = 1.18, p < 0.001). Common comorbidities among RRT patients include hypertension (47%), diabetes (21%), and cardiovascular diseases (26%). The history of transplantation significantly influenced survival. Regional disparities in survival probabilities were observed, highlighting the need for collaborative efforts in healthcare delivery. This study underscores the substantial burden of CKD in Kazakhstan, with a majority of patients diagnosed late. Early detection strategies and timely kidney transplantation emerge as crucial interventions to enhance survival outcomes.

Keywords: Chronic kidney disease; end-stage renal disease; late diagnosis; renal replacement therapy; survival prognosis.

MeSH terms

  • Adult
  • Aged
  • Comorbidity
  • Delayed Diagnosis* / statistics & numerical data
  • Female
  • Humans
  • Kazakhstan / epidemiology
  • Kidney Failure, Chronic / mortality
  • Kidney Failure, Chronic / therapy
  • Male
  • Middle Aged
  • Prognosis
  • Proportional Hazards Models
  • Registries*
  • Renal Insufficiency, Chronic* / diagnosis
  • Renal Insufficiency, Chronic* / epidemiology
  • Renal Insufficiency, Chronic* / mortality
  • Renal Insufficiency, Chronic* / therapy
  • Renal Replacement Therapy* / statistics & numerical data

Grants and funding

This study was supported by grants from the Nazarbayev University Faculty Development Research Grant Program FDCRGP 2023–2025 (Funder Project Reference: 20122022FD4104, title: In-depth epidemiology and modeling of the 10-year trends of cardiovascular diseases and their complications in Kazakhstan using aggregated big data from the Unified National Electronic Healthcare System). A.G. is a PI of the project.