Derivation and Validation of the PRECISE-HBR Score to Predict Bleeding After Percutaneous Coronary Intervention.

Background Accurate bleeding risk stratification after percutaneous coronary intervention (PCI) is important for treatment individualization. However, there is still an unmet need for a more precise and standardized identification of high bleeding risk patients. We derived and validated a novel bleeding risk score by augmenting the PRECISE-DAPT score with the Academic Research Consortium for High Bleeding Risk (ARC-HBR) criteria. Methods The derivation cohort comprised 29,188 patients undergoing PCI, of whom 1136 (3.9%) had a Bleeding Academic Research Consortium (BARC) 3 or 5 bleeding at 1 year, from four contemporary real-world registries and the XIENCE V USA trial. The PRECISE-DAPT score was refitted with a Fine-Gray model in the derivation cohort and extended with the ARC-HBR criteria. The primary outcome was BARC 3 or 5 bleeding within 1 year. Independent predictors of BARC 3 or 5 bleeding were selected at multivariable analysis (p<0.01). The discrimination of the score was internally assessed with apparent validation and cross-validation. The score was externally validated in 4578 patients from the MASTER DAPT trial and 5970 patients from the STOPDAPT-2 total cohort. Results The PRECISE-HBR score (age, estimated glomerular filtration rate, hemoglobin, white-blood-cell count, previous bleeding, oral anticoagulation, and ARC-HBR criteria) showed an area under the curve (AUC) for 1-year BARC 3 or 5 bleeding of 0.73 (95% CI, 0.71-0.74) at apparent validation, 0.72 (95% CI, 0.70-0.73) at cross-validation, 0.74 (95% CI, 0.68-0.80) in the MASTER DAPT, and 0.73 (95% CI, 0.66-0.79) in the STOPDAPT-2, with superior discrimination than the PRECISE-DAPT (cross-validation: Δ AUC, 0.01; p=0.02; MASTER DAPT: Δ AUC, 0.05; p=0.004; STOPDAPT-2: Δ AUC, 0.02; p=0.20) and other risk scores. In the derivation cohort, a cut-off of 23 points identified 11,414 patients (39.1%) with a 1-year BARC 3 or 5 bleeding risk ≥4%. An alternative version of the score, including acute myocardial infarction on admission instead of white-blood-cell count, showed similar predictive ability. Conclusions The PRECISE-HBR score is a contemporary, simple 7-item risk score to predict bleeding after PCI, offering a moderate improvement in discrimination over multiple existing scores. Further evaluation is required to assess its impact on clinical practice.

Institutions

Publication Details

Journal
Open Access CRIS of the University of Bern
Published
2024-12-02
DOI
https://doi.org/10.48620/77093
Primary Topic
RNA and protein synthesis mechanisms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Derivation and Validation of the PRECISE-HBR Score to Predict Bleeding After Percutaneous Coronary Intervention.

Open Access CRIS of the University of Bern
RNA and protein synthesis mechanisms
article

Derivation and Validation of the PRECISE-HBR Score to Predict Bleeding After Percutaneous Coronary Intervention.

article en

Abstract

Background Accurate bleeding risk stratification after percutaneous coronary intervention (PCI) is important for treatment individualization. However, there is still an unmet need for a more precise and standardized identification of high bleeding risk patients. We derived and validated a novel bleeding risk score by augmenting the PRECISE-DAPT score with the Academic Research Consortium for High Bleeding Risk (ARC-HBR) criteria. Methods The derivation cohort comprised 29,188 patients undergoing PCI, of whom 1136 (3.9%) had a Bleeding Academic Research Consortium (BARC) 3 or 5 bleeding at 1 year, from four contemporary real-world registries and the XIENCE V USA trial. The PRECISE-DAPT score was refitted with a Fine-Gray model in the derivation cohort and extended with the ARC-HBR criteria. The primary outcome was BARC 3 or 5 bleeding within 1 year. Independent predictors of BARC 3 or 5 bleeding were selected at multivariable analysis (p<0.01). The discrimination of the score was internally assessed with apparent validation and cross-validation. The score was externally validated in 4578 patients from the MASTER DAPT trial and 5970 patients from the STOPDAPT-2 total cohort. Results The PRECISE-HBR score (age, estimated glomerular filtration rate, hemoglobin, white-blood-cell count, previous bleeding, oral anticoagulation, and ARC-HBR criteria) showed an area under the curve (AUC) for 1-year BARC 3 or 5 bleeding of 0.73 (95% CI, 0.71-0.74) at apparent validation, 0.72 (95% CI, 0.70-0.73) at cross-validation, 0.74 (95% CI, 0.68-0.80) in the MASTER DAPT, and 0.73 (95% CI, 0.66-0.79) in the STOPDAPT-2, with superior discrimination than the PRECISE-DAPT (cross-validation: Δ AUC, 0.01; p=0.02; MASTER DAPT: Δ AUC, 0.05; p=0.004; STOPDAPT-2: Δ AUC, 0.02; p=0.20) and other risk scores. In the derivation cohort, a cut-off of 23 points identified 11,414 patients (39.1%) with a 1-year BARC 3 or 5 bleeding risk ≥4%. An alternative version of the score, including acute myocardial infarction on admission instead of white-blood-cell count, showed similar predictive ability. Conclusions The PRECISE-HBR score is a contemporary, simple 7-item risk score to predict bleeding after PCI, offering a moderate improvement in discrimination over multiple existing scores. Further evaluation is required to assess its impact on clinical practice.

Open Access CRIS of the University of Bern
Ophthalmology Clinic (DE), IST Research (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 67%
RNA and protein synthesis mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.