ArticleJournal of healthcare engineering2022
Growth Differentiation Factor-15 Based ABC (Age, Biomarkers, Clinical History)-AF (Atrial Fibrillation)-Bleeding Risk Score for Elderly Patients with Nonvalvular Atrial Fibrillation.
Article in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
Corrections and comments
- Retraction · 2023-07-12Concerns/Issues about Data · Concerns/Issues about Results and/or Conclusions · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Informed/Patient Consent - None/Withdrawn · Investigation by Journal/Publisher · Investigation by Third Party · Lack of IRB/IACUC Approval and/or Compliance · Computer-Aided Content or Computer-Generated Content · Unreliable Results and/or Conclusions ·
- Retracted
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Growth differentiation factor-15 (GDF-15) is a strong predictor of bleeding in atrial fibrillation (AF) patients. The novel ABC (age, biomarkers, and clinical history), AF, and bleeding risk score outperforms HAS-BLED bleeding risk score for major bleeding (MB) in patients with AF receiving oral anti-coagulation in the clinical trial cohort. However, it has not been entirely externally validated. We aimed to refine and understand the application of the ABC-AF bleeding risk score in elderly (aged ≥65 years old) patients with nonvalvular atrial fibrillation (NVAF) for predicting the different types of bleeding events and anti-thrombotic treatments. Methods: We identified elderly patients with NVAF between March 2018 and December 2019 who were hospitalized for the first time after a diagnosis of NVAF. We measured the plasma concentration of the ABC biomarkers (growth differentiation factor 15 (GDF-15) and cardiac troponin-T (cTnT)) from enrolled patients. We collected their general information and follow up for one year until December 2020. During the follow-up period, information on the occurrence of bleeding events (major bleeding, clinically relevant nonmajor gastrointestinal bleeding (CRNM GIB), and minor bleeding events) was collected. Results: We enrolled 342 elderly NAVF patients; the ABC-AF bleeding and HAS-BLED scores were quantified. With an average of 1.5 years of follow-up, 6 patients had an intracranial hemorrhage; 57 patients had CRNM GIB; and 68 patients had minor bleeding events (36 fecal occult blood positive and 32 other minor bleeding events). The ABC-AF bleeding score yielded a C-index of 0.72 (95% CI 0.60-0.84) for predicting MB in elderly patients with NAVF, C-index of 0.69 (95% CI 0.57-0.82) by HAS-BLED score. Comparison of the incidence of bleeding events during follow-up and the predicted 1-year incidence of bleeding events by each bleeding risk score, ABC-AF bleeding, and HAS-BLED scores have similar value in predicting the risk for elderly patients with NAVF in different types of bleeding events, whether on oral anti-coagulation treatment (OAC) or non-OAC ( Conclusion: In elderly patients with NVAF, the biomarker-based ABC-AF bleeding score showed similar performance compared with the HAS-BLED bleeding risk score.
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