Interactive exploration of adverse events and multimorbidity in CKD

Inga Steinbrenner1, Fruzsina Kotsis1,2, Robin Kosch3,4

  • 1Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany.

Insights

Persons with chronic kidney disease (CKD) face high risks of adverse events and mortality. An interactive tool reveals event patterns, aiding patient care and public health policy for this vulnerable population.

Area of Science:

  • Nephrology
  • Public Health
  • Data Science

Background:

  • Chronic kidney disease (CKD) patients have elevated risks for adverse events, early mortality, and multimorbidity.
  • A comprehensive analysis of adverse event types and rates in a large CKD cohort under regular nephrological care is currently lacking.
  • An interactive tool was developed to explore adverse events and their combinations within the prospective, observational German CKD (GCKD) study.

Purpose of the Study:

  • To provide a detailed overview of adverse event types and rates in a large CKD cohort.
  • To develop an interactive tool for exploring adverse events and their combinations.
  • To understand multimorbidity trends in CKD patients.

Main Methods:

  • The German CKD (GCKD) study enrolled 5217 participants with varying CKD stages and proteinuria.
  • Adjudication of cardiovascular, cerebrovascular, peripheral vascular, kidney, infection, and cancer events, along with deaths, followed a standard operating procedure.
  • An R shiny app was utilized for interactive exploration of time-to-event data, employing multivariable adjusted Cox models, cumulative incidence functions, Kaplan-Meier curves, and intersection plots.

Main Results:

  • Over a median of 6.5 years, 10,271 events occurred in 2947 participants (56.5%), with 680 (13.0%) deaths.
  • The interactive platform allows scrutiny of adverse events, their combinations, and mortality trends in CKD.
  • High incidence rates were observed for cardiovascular (113.6), kidney (75.0), and infection (66.0) events per 1000 patient-years. Diabetic kidney disease and male sex were associated with higher event proneness.

Conclusions:

  • A comprehensive interactive tool visualizes adverse events, combinations, mortality, and multimorbidity in CKD patients.
  • This resource can aid in patient care and identification of high-risk groups.
  • The tool supports health services and public health policy planning for CKD management.
Abstract

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