Journal
HELLENIC JOURNAL OF CARDIOLOGY
Volume 66, Issue -, Pages 59-66Publisher
ELSEVIER
DOI: 10.1016/j.hjc.2022.04.008
Keywords
PCI; High Bleeding Risk; ARC-HBR; bleeding
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The Academic Research Consortium High Bleeding Risk (ARC-HBR) criteria is a useful clinical tool for stratifying bleeding risk in patients undergoing percutaneous coronary intervention (PCI). However, the criteria tends to underpredict major bleeding events and its predictive ability can be optimized by including the number of times the criteria is met.
The Academic Research Consortium High Bleeding Risk (ARC-HBR) criteria aims to stratify patients undergoing percutaneous coronary intervention (PCI) and are now recommended by international guidelines to stratify bleeding risk in clinical practice. We searched electronic databases from 2019 (ARC-HBR proposal) up to February 2021 for studies that reported the occurrence of major bleedings according to ARC-HBR status in patients undergoing PCI and pooled them as relative risk (RR) in a random-effect analysis. Only studies that reported events according to the number of times the ARC-HBR definition was met were included in a sensitivity analysis and RR for each stratum was calculated. Nine studies and 68,874 subjects were included in our analysis; 39.2% of them were at HBR and they had a significantly higher risk of major bleedings (RR: 2.70; 95% CI: 2.35-3.10; p < 0.0001). The ARC-HBR definition also had a moderate discriminative power (pooled c-stat: 0.69; 95% CI: 0.61-0.75) while calibration was sub-optimal with a tendency toward underpredicting bleeding events (pooled observed:expected ratio: 1.47; 95% CI: 0.82-2.60). Our sensitivity analysis included 5 studies and 46,712 patients and confirmed the incremental, additive power of the ARC-HBR when it is met multiple times. Finally, among baseline characteristics explored, only presenting with an acute coronary syndrome had a significant impact on the ARC-HBR predictive ability. The ARC-HBR definition is a useful clinical tool, but with a tendency towards underpredicting major bleedings and its predictive ability might be optimized by including the number of times the definition is met.(c) 2022 Hellenic Society of Cardiology. Publishing services by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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