Senthil K Vasan, Rajkumar Chinnadurai, Sharmilee Rengarajan, Darren Green, Helen Alderson, Nicolas Vuilleumier, Philip A Kalra
{"title":"心脏生物标志物(NT-proBNP和Hs-Troponin-T)在预测慢性肾病患者死亡率、心血管和肾脏预后中的应用","authors":"Senthil K Vasan, Rajkumar Chinnadurai, Sharmilee Rengarajan, Darren Green, Helen Alderson, Nicolas Vuilleumier, Philip A Kalra","doi":"10.1159/000546489","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>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 (CKD). 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 event (MACE), and end-stage kidney disease (ESKD) in non-dialysis-dependent chronic kidney disease (NDD-CKD) patients.</p><p><strong>Methods: </strong>Data from 1,946 individuals with NDD-CKD prospectively included in the Salford Kidney Study were used to investigate the associations between NT-proBNP and Hs-cTnT with study endpoints. Hazard ratio or sub-hazard ratio and 95% confidence intervals (95% CIs) were estimated using multivariate Cox-regression and competing risk models. The discriminatory power of NT-proBNP and Hs-cTnT along with kidney biomarkers (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.</p><p><strong>Results: </strong>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. 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 eGFR and uACR performed best at predicting ESKD (C-statistics: 0.821; 95% CI: 0.786-0.826).</p><p><strong>Conclusion: </strong>In NDD-CKD patients, NT-proBNP and Hs-cTnT are predictors of all-cause mortality, MACE, and ESKD, independently of eGFR and uACR. Combining NT-proBNP and Hs-cTnT with eGFR and uACR outperformed risk prediction for ESKD compared to kidney biomarkers used alone or in combination.</p>","PeriodicalId":7570,"journal":{"name":"American Journal of Nephrology","volume":" ","pages":"1-16"},"PeriodicalIF":3.2000,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12324707/pdf/","citationCount":"0","resultStr":"{\"title\":\"Utility of Cardiac Biomarkers (N-Terminal Pro-B-Type Natriuretic Peptide and Hs-Troponin-T) in Predicting Mortality, Cardiovascular, and Renal Outcomes in Patients with Chronic Kidney Disease.\",\"authors\":\"Senthil K Vasan, Rajkumar Chinnadurai, Sharmilee Rengarajan, Darren Green, Helen Alderson, Nicolas Vuilleumier, Philip A Kalra\",\"doi\":\"10.1159/000546489\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>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 (CKD). 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 event (MACE), and end-stage kidney disease (ESKD) in non-dialysis-dependent chronic kidney disease (NDD-CKD) patients.</p><p><strong>Methods: </strong>Data from 1,946 individuals with NDD-CKD prospectively included in the Salford Kidney Study were used to investigate the associations between NT-proBNP and Hs-cTnT with study endpoints. Hazard ratio or sub-hazard ratio and 95% confidence intervals (95% CIs) were estimated using multivariate Cox-regression and competing risk models. The discriminatory power of NT-proBNP and Hs-cTnT along with kidney biomarkers (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.</p><p><strong>Results: </strong>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. 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 eGFR and uACR performed best at predicting ESKD (C-statistics: 0.821; 95% CI: 0.786-0.826).</p><p><strong>Conclusion: </strong>In NDD-CKD patients, NT-proBNP and Hs-cTnT are predictors of all-cause mortality, MACE, and ESKD, independently of eGFR and uACR. Combining NT-proBNP and Hs-cTnT with eGFR and uACR outperformed risk prediction for ESKD compared to kidney biomarkers used alone or in combination.</p>\",\"PeriodicalId\":7570,\"journal\":{\"name\":\"American Journal of Nephrology\",\"volume\":\" \",\"pages\":\"1-16\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12324707/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Nephrology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1159/000546489\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"UROLOGY & NEPHROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Nephrology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1159/000546489","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"UROLOGY & NEPHROLOGY","Score":null,"Total":0}
Utility of Cardiac Biomarkers (N-Terminal Pro-B-Type Natriuretic Peptide and Hs-Troponin-T) in Predicting Mortality, Cardiovascular, and Renal Outcomes in Patients with Chronic Kidney Disease.
Introduction: 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 (CKD). 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 event (MACE), and end-stage kidney disease (ESKD) in non-dialysis-dependent chronic kidney disease (NDD-CKD) patients.
Methods: Data from 1,946 individuals with NDD-CKD prospectively included in the Salford Kidney Study were used to investigate the associations between NT-proBNP and Hs-cTnT with study endpoints. Hazard ratio or sub-hazard ratio and 95% confidence intervals (95% CIs) were estimated using multivariate Cox-regression and competing risk models. The discriminatory power of NT-proBNP and Hs-cTnT along with kidney biomarkers (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.
Results: 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. 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 eGFR and uACR performed best at predicting ESKD (C-statistics: 0.821; 95% CI: 0.786-0.826).
Conclusion: In NDD-CKD patients, NT-proBNP and Hs-cTnT are predictors of all-cause mortality, MACE, and ESKD, independently of eGFR and uACR. Combining NT-proBNP and Hs-cTnT with eGFR and uACR outperformed risk prediction for ESKD compared to kidney biomarkers used alone or in combination.
期刊介绍:
The ''American Journal of Nephrology'' is a peer-reviewed journal that focuses on timely topics in both basic science and clinical research. Papers are divided into several sections, including: