Routine cardiac biomarkers for the prediction of incident major adverse cardiac events in patients with glomerulonephritis: a real-world analysis using a global federated database

常规心脏生物标志物在预测肾小球肾炎患者发生重大不良心脏事件中的应用:一项基于全球联合数据库的真实世界分析

阅读:2

Abstract

RATIONALE & OBJECTIVE: Glomerulonephritis (GN) is a leading cause of chronic kidney disease (CKD). Major adverse cardiovascular events (MACE) are prolific in CKD. The risk of MACE in GN cohorts is multifactorial. We investigated the prognostic significance of routine cardiac biomarkers, Troponin I and N-terminal pro-BNP (NT-proBNP) in predicting MACE within 5 years of GN diagnosis. STUDY DESIGN: Retrospective cohort study. SETTING & PARTICIPANTS: Data were obtained from TriNetX, a global federated health research network of electronic health records (EHR). EXPOSURE OR PREDICTOR: Biomarker thresholds: Troponin I: 18 ng/L, NT-proBNP: 400 pg/mL. OUTCOMES: Primary outcome: Incidence of major adverse cardiovascular events (MACE). SECONDARY OUTCOME: was the risk for each individual component of the composite outcome. ANALYTICAL APPROACH: 1:1 propensity score matching using logistic regression. Cox proportional hazard models were used to assess the association of cardiac biomarkers with the primary and secondary outcomes, reported as Hazard Ratio (HR) and 95% confidence intervals (CI). Survival analysis was performed which estimates the probability of an outcome over a 5-year follow-up from the index event. RESULTS: Following PSM, 34,974 and 18,218 patients were analysed in the Troponin I and NTproBNP cohorts, respectively. In the Troponin I all cause GN cohort, 3,222 (9%) developed composite MACE outcome HR 1.79; (95% CI, 1.70, 1.88, p < 0.0001). In the NTproBNP GN cohort, 1,686 (9%) developed composite MACE outcome HR 1.99; (95% CI, 1.86, 2.14, p < 0.0001). LIMITATIONS: The data are derived from EHR for administrative purposes; therefore, there is the potential for data errors or missing data. CONCLUSIONS: In GN, routinely available cardiac biomarkers can predict incident MACE. The results suggest the clinical need for cardiovascular and mortality risk profiling in glomerular disease using a combination of clinical and laboratory variables.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。