Development and external validation of a post-discharge bleeding risk score in patients with acute coronary syndrome: The BleeMACS score

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Abstract

Background

Accurate 1-year bleeding risk estimation after hospital discharge for acute coronary syndrome (ACS) may help clinicians guide the type and duration of antithrombotic therapy. Currently there are no predictive models for this purpose. The aim of this study was to derive and validate a simple clinical tool for bedside risk estimation of 1-year post-discharge serious bleeding in ACS patients.

Methods

The risk score was derived and internally validated in the BleeMACS (Bleeding complications in a Multicenter registry of patients discharged with diagnosis of Acute Coronary Syndrome) registry, an observational international registry involving 15,401 patients surviving admission for ACS and undergoing percutaneous coronary intervention (PCI) from 2003 to 2014, engaging 15 hospitals from 10 countries located in America, Europe and Asia. External validation was conducted in the SWEDEHEART population, with 96,239 ACS patients underwent PCI and 93,150 without PCI.

Results

Seven independent predictors of bleeding were identified and included in the BleeMACS score: age, hypertension, vascular disease, history of bleeding, malignancy, creatinine and hemoglobin. The BleeMACS risk score exhibited a C-statistic value of 0.71 (95% CI 0.68–0.74) in the derivation cohort and 0.72 (95% CI 0.67–0.76) in the internal validation sample. In the SWEDEHEART external validation cohort, the C-statistic was 0.65 (95% CI 0.64–0.66) for PCI patients and 0.63 (95% CI 0.62–0.64) for non-PCI patients. The calibration was excellent in the derivation and validation cohorts.

Conclusions

The BleeMACS bleeding risk score is a simple tool useful for identifying those ACS patients at higher risk of serious 1-year post-discharge bleeding.

ClinicalTrials.gov Identifier: NCT02466854

Introduction

Dual antiplatelet therapy (DAPT) with aspirin and an oral P2Y12 receptor inhibitor is the standard regimen to prevent atherothrombotic events in patients after acute coronary syndrome (ACS) [1], especially after percutaneous coronary intervention (PCI) with stenting [2]. In the current era, the clinical cardiologist has to face every day to two important issues when prescribing DAPT: Which P2Y12 inhibitor has to be associated with aspirin? And how long DAPT has to be prescribed [3]?

Because thrombotic risk is increased after ACS, guidelines recommend DAPT with the new more potent P2Y12 inhibitors (ticagrelor or prasugrel) [4]. There is no doubt that both prasugrel and ticagrelor are of choice single bondversus clopidogrelsingle bond in patients with not-high bleeding risk [5], [6]. Regarding the duration of DAPT, the guidelines establish a reference standard of 12 months [4]. Recent evidence suggests that treatment with DAPT beyond the first year may be beneficial in selected groups of patients with low bleeding risk [7], particularly when the ischemic risk is high [8]. However, guidelines state that shorter DAPT regimens might be considered in patients deemed at high bleeding risk [4].

With this background, it is clear that bleeding risk has an important role as a limiting factor for the choice of the type of DAPT (clopidogrel versus ticagrelor/prasugrel) and for the selection of candidates for shorter DAPT regimens (< versus ≥ 12 months). With this study, we aimed to develop a simple risk prediction tool that would allow physicians to objectively estimate the bleeding risk within the first year after hospital discharge for an ACS.

Section snippets

Study design and population

The BleeMACS (Bleeding complications in a Multicenter registry of patients discharged with diagnosis of Acute Coronary Syndrome) is a retrospective, observational, multicenter cohort study involving 15,401 consecutive patients. BleeMACS inclusion and exclusion criteria, data collection, and variables have been described previously [9]. Briefly, eligible patients were all consecutive adult patients (≥ 18 years old) discharged with the definitive diagnosis of ACS and underwent in-hospital PCI, with

Bleeding incidence and predictors

Baseline characteristics and outcomes of both BleeMACS derivation and validation cohorts were similar (Supplementary data, page 5–6, eTable 1, eFigure 2).

The incidence rate of bleeding was 3.2 per 100 person-year (95% CI 2.9%–3.6%) in the BleeMACS derivation cohort, and 3.6 (95% CI 3.1%–4.2%) in the BleeMACS internal validation cohort.

Using data from the BleeMACS derivation cohort, after univariate and multivariate analysis (Table 1), we have identified seven independent predictors of bleeding:

Discussion

This study developed and validated, internally and externally, a clinical risk score to predict serious bleeding in the first year after hospital discharge for ACS. The BleeMACS score accurately classified patients into four bleeding risk groups, with acceptable discriminative ability and excellent calibration in two large cohorts (BleeMACS and SWEDEHEART registries), and in clinically important antithrombotic treatment subgroups.

Conclusion

In this study, we have developed and externally validated for the first time a quantitative clinical tool to predict post-discharge bleeding in patients with ACS. The BleeMACS score demonstrated good discrimination and excellent calibration, and performed satisfactorily on external validation cohort. A BleeMACS score calculator was available in a mobile app (BleeMACS risk score, for iTunes and Android). Further studies are need to assess the impact of prospective use of BleeMACS score in the

Conflict of interest

The authors report no relationships that could be construed as a conflict of interest.

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