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.

Autor: Davies EM; Department of Women's and Children's Health, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK. elin.davies@liverpool.ac.uk.; Department of Nephrology, Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK. elin.davies@liverpool.ac.uk., Buckley BJR; Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, UK.; Cardiovascular Health Sciences, Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, England, UK., Austin P; TriNetX Inc, London, England., Lip GYH; Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, UK.; Danish Centre for Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark., Oni L; Department of Women's and Children's Health, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK.; Department of Paediatric Nephrology, Alder Hey Children's NHS Foundation Trust Hospital, Eaton Road, Liverpool, UK., McDowell G; Cardiovascular Health Sciences, Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, England, UK.; School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, England, UK.; Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, England, UK.; Research Laboratory, Liverpool Heart and Chest Hospital, Liverpool, England, UK., Rao A; Department of Nephrology, Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK.; Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, UK.; Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, England, UK.
Jazyk: angličtina
Zdroj: BMC nephrology [BMC Nephrol] 2024 Jul 22; Vol. 25 (1), pp. 233. Date of Electronic Publication: 2024 Jul 22.
DOI: 10.1186/s12882-024-03667-y
Abstrakt: 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.
(© 2024. The Author(s).)
Databáze: MEDLINE
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