Utility of cardiac biomarkers (NT-proBNP and Hs-Troponin-T) in predicting mortality, cardiovascular and renal outcomes in patients with chronic kidney disease

<b>Introduction: </b>Cardiac biomarkers, N-terminal pro-B-type natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin-T (Hs-cTnT) are good prognostic indicators of long-term clinical cardiovascular outcomes in patients with chronic kidney disease. However, the clinical utility of combined biomarkers in predicting death and cardio-renal outcomes in patients with CKD remains unclear. This study examined the prognostic accuracy and incremental value of, NT-proBNP and Hs-cTnT for all-cause mortality, major adverse cardiovascular events (MACE), and end-stage kidney disease (ESKD) in non-dialysis dependent chronic kidney disease (NDD-CKD) patients. <b>Methods: </b>Data from 1946 individuals with NDD-CKD prospectively included in the Salford Kidney Study was used to investigate the associations between NT-proBNP and Hs-cTnT with study endpoints. Hazards ratio or sub-hazards ratio and 95% confidence intervals (95%CI) were estimated using multivariate Cox-regression and competing risk models. The discriminatory power of NT-proBNP and Hs-cTnT along with kidney biomarkers (RBMs: eGFR and UACR) and Framingham Risk score (FRS) were calculated using Harrell's C-index. Endpoint-specific risk scores were generated using regression coefficients obtained in a training dataset and confirmed in a validation one. <b>Results: </b>During median follow-up of 71.5 months, 931 (47.8%) deaths, 553 (28.4%) MACE and 554 (28.5%) ESKD events occurred. Baseline NT-proBNP and Hs-cTnT elevations were associated with significant increased risk of mortality, MACE and ESKD independently of FRS and RBMs. Combining NT-proBNP, Hs-cTnT, and FRS yielded the highest prognostic accuracy for all-cause mortality and MACE (respective C-statistics:0.713; 95%CI:0.695-0.731, and 0.697;95%CI:0.673-0.721,), while combining NT-proBNP, and Hs-cTnT with RBMs performed best at predicting ESKD (C-statistics:0.821; 95%CI: 0.786-0.826). <b>Conclusions: </b>In NDD-CKD patients, NT-proBNP and Hs-cTnT are predictors of all-cause mortality, MACE, and ESKD, independently of RBMs. Combining NT-proBNP and Hs-cTnT with RBMs outperformed risk prediction for ESKD compared to RBMs used alone or in combination.

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Archive ouverte UNIGE (University of Geneva)
Published
2025-01-01
Primary Topic
Heart Failure Treatment and Management
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article

Utility of cardiac biomarkers (NT-proBNP and Hs-Troponin-T) in predicting mortality, cardiovascular and renal outcomes in patients with chronic kidney disease

Archive ouverte UNIGE (University of Geneva)
Heart Failure Treatment and Management
article

Utility of cardiac biomarkers (NT-proBNP and Hs-Troponin-T) in predicting mortality, cardiovascular and renal outcomes in patients with chronic kidney disease

article en

Abstract

<b>Introduction: </b>Cardiac biomarkers, N-terminal pro-B-type natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin-T (Hs-cTnT) are good prognostic indicators of long-term clinical cardiovascular outcomes in patients with chronic kidney disease. However, the clinical utility of combined biomarkers in predicting death and cardio-renal outcomes in patients with CKD remains unclear. This study examined the prognostic accuracy and incremental value of, NT-proBNP and Hs-cTnT for all-cause mortality, major adverse cardiovascular events (MACE), and end-stage kidney disease (ESKD) in non-dialysis dependent chronic kidney disease (NDD-CKD) patients. <b>Methods: </b>Data from 1946 individuals with NDD-CKD prospectively included in the Salford Kidney Study was used to investigate the associations between NT-proBNP and Hs-cTnT with study endpoints. Hazards ratio or sub-hazards ratio and 95% confidence intervals (95%CI) were estimated using multivariate Cox-regression and competing risk models. The discriminatory power of NT-proBNP and Hs-cTnT along with kidney biomarkers (RBMs: eGFR and UACR) and Framingham Risk score (FRS) were calculated using Harrell's C-index. Endpoint-specific risk scores were generated using regression coefficients obtained in a training dataset and confirmed in a validation one. <b>Results: </b>During median follow-up of 71.5 months, 931 (47.8%) deaths, 553 (28.4%) MACE and 554 (28.5%) ESKD events occurred. Baseline NT-proBNP and Hs-cTnT elevations were associated with significant increased risk of mortality, MACE and ESKD independently of FRS and RBMs. Combining NT-proBNP, Hs-cTnT, and FRS yielded the highest prognostic accuracy for all-cause mortality and MACE (respective C-statistics:0.713; 95%CI:0.695-0.731, and 0.697;95%CI:0.673-0.721,), while combining NT-proBNP, and Hs-cTnT with RBMs performed best at predicting ESKD (C-statistics:0.821; 95%CI: 0.786-0.826). <b>Conclusions: </b>In NDD-CKD patients, NT-proBNP and Hs-cTnT are predictors of all-cause mortality, MACE, and ESKD, independently of RBMs. Combining NT-proBNP and Hs-cTnT with RBMs outperformed risk prediction for ESKD compared to RBMs used alone or in combination.

Archive ouverte UNIGE (University of Geneva)
National Institute for Health and Care Research, Manchester Biomedical Research Centre
Reduced inequalities
Openalex Percentile: Top 37%
Heart Failure Treatment and Management
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Utility of cardiac biomarkers (NT-proBNP and Hs-Troponin-T) in predicting mortality, cardiovascular and renal outcomes in patients with chronic kidney disease · Archive ouverte UNIGE (University of Geneva) (2025) | TGRS Research Map | TGRS