ArticleBMC nephrology2024
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.
Article in BMC nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- The Big Data Era in Cardiology and Cardiovascular Medicine: Advanced Analytics for Truly Personalized Care.Diagnostics (Basel, Switzerland) · 2025Article
- Predictive analytics in bronchopulmonary dysplasia: past, present, and future.Frontiers in pediatrics · 2024Review
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7 authors.
Funding
Abstract
RATIONALE &
objectiveGlomerulonephritis (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
designRetrospective cohort study. SETTING &
participantsData 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.
resultsFollowing 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.
conclusionsIn 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.
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