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

基于炎症的评分可预测慢性肾脏病合并慢性心力衰竭患者的慢性肾脏病进展。

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Abstract

BACKGROUND: Inflammation is associated with adverse outcomes of chronic kidney disease (CKD) or chronic heart failure (CHF), but few large data exist. We aimed to explore the clinical associations, and prognostic consequences of inflammation-based scores in patients with CKD and CHF. METHODS: This work was a retrospective cohort study. Glasgow Prognostic Score (GPS), modified Glasgow Prognostic Score (mGPS), Prognostic Nutritional Index (PNI) and Prognostic Index (PI), were used to explore its relationship with CKD progression in patients with CKD stage 1-3b and CHF from the China Renal Data System (CRDS). The composite end point of this study was CKD progression which was defined as eGFR reduction of 40% or progression to end stage renal disease (ESRD). RESULTS: Of 8491 patients were enrolled. Kaplan-Meier curve showed that compared to the lower inflammation-based scores, the increased scores have a higher rate of CKD progression, whether in GPS, mGPS, PNI or PI (log-rank test, p < 0.001). After considering competing risk events, multivariable Cox hazards analysis revealed that GPS and PNI scores were significantly related to CKD progression [GPS: hazard ratio (HR) 1.40, 95% confidence interval (CI) 1.11-1.76, p = 0.005; PNI: HR 1.54, 95% CI 1.25-1.89, p < 0.001]. PNI showed acceptable prognostic value (C-index = 0.757, 95% CI 0.734-0.78) compared to GPS, mGPS and PI. In subgroup analysis, PNI was consistently related to CKD progression in patients with or without hypertension, DM, MI, VDH and CVD (P for interaction > 0.05). CONCLUSIONS: Inflammation-based scores, especially PNI may be a useful clinical biomarker for CKD progression in CKD with CHF patients.

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