Inflammation-based scores predict chronic kidney disease progression in patients with chronic kidney disease and

Lu Cai1, Licong Su2, Ying Hu1

  • 1Department of Nephrology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Renal Failure
|November 27, 2024
PubMed

Insights

Inflammation scores like the Prognostic Nutritional Index (PNI) can predict chronic kidney disease (CKD) progression in patients with both CKD and chronic heart failure (CHF). Higher PNI scores indicate a greater risk of CKD progression.

Area of Science:

  • Nephrology
  • Cardiology
  • Inflammation Research

Background:

  • Inflammation is linked to poor outcomes in chronic kidney disease (CKD) and chronic heart failure (CHF).
  • Limited large-scale data exist on the prognostic value of inflammation-based scores in patients with both conditions.

Purpose of the Study:

  • To investigate the clinical associations and prognostic implications of inflammation-based scores in patients with CKD and CHF.
  • To determine the relationship between inflammation scores and CKD progression in this patient cohort.

Main Methods:

  • Retrospective cohort study of 8491 patients with CKD (stages 1-3b) and CHF from the China Renal Data System (CRDS).
  • Utilized Glasgow Prognostic Score (GPS), modified Glasgow Prognostic Score (mGPS), Prognostic Nutritional Index (PNI), and Prognostic Index (PI).
  • Defined CKD progression as a 40% reduction in estimated glomerular filtration rate (eGFR) or progression to end-stage renal disease (ESRD).

Main Results:

  • Higher inflammation scores (GPS, mGPS, PNI, PI) were associated with increased CKD progression rates (log-rank test, p < 0.001).
  • Multivariable Cox analysis identified GPS (HR 1.40) and PNI (HR 1.54) as significant predictors of CKD progression.
  • PNI demonstrated acceptable prognostic value (C-index = 0.757) and consistent association with CKD progression across subgroups.

Conclusions:

  • Inflammation-based scores, particularly PNI, may serve as valuable clinical biomarkers for predicting CKD progression.
  • PNI offers a useful tool for risk stratification in patients with co-existing CKD and CHF.
Abstract

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