Dataset Information

Atherothrombotic risk stratification after acute myocardial infarction: The Thrombolysis in Myocardial Infarction Risk Score for Secondary Prevention in the light of the French Registry of Acute ST Elevation or non-ST Elevation Myocardial Infarction registries.

ABSTRACT:

Background

Guidelines recommend using risk stratification tools in acute myocardial infarction (AMI) to assist decision-making. The Thrombolysis in Myocardial Infarction Risk Score for Secondary Prevention (TRS-2P) has been recently developed to characterize long-term risk in patients with MI.

Hypothesis

We aimed to assess the TRS-2P in the French Registry of Acute ST Elevation or non-ST elevation MI registries.

Methods

We used data from three 1-month French registries, conducted 5 years apart, from 2005 to 2015, including 13 130 patients with AMI (52% ST-elevation myocardial infarction [STEMI]). Atherothrombotic risk stratification was performed using the TRS-2P score. Patients were divided in to three categories: G1 (low-risk, TRS-2P = 0/1); G2 (intermediate-risk, TRS-2P = 2); and G3 (high-risk, TRS-2P ? 3). Baseline characteristics and outcomes were analyzed according to TRS-2P categories.

Results

A total of 12 715 patients (in whom TRS-2P was available) were included. Prevalence of G1, G2, and G3 was 43%, 24%, and 33% respectively. Clinical characteristics and management significantly differed according to TRS-2P categories. TRS-2P successfully defined residual risk of death at 1 year (C-statistic 0.78): 1-year survival was 98% in G1, 94% in G2, and 78.5% in G3 (P < 0.001). Using Cox multivariate analysis, G3 was independently associated with higher risk of death at 1 year (hazard ratio [HR] 4.61; 95% confidence interval [CI]: 3.61-5.89), as G2 (HR 2.08; 95% CI: 1.62-2.65) compared with G1. The score appeared robust and correlated well with mortality in STEMI and NSTEMI populations, as well as in each cohort separately.

Conclusions

The TRS-2P appears to be a robust risk score, identifying patients at high risk after AMI irrespective of the type of MI and historical period.

SUBMITTER: Puymirat E

PROVIDER: S-EPMC6712320 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

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Publications

Atherothrombotic risk stratification after acute myocardial infarction: The Thrombolysis in Myocardial Infarction Risk Score for Secondary Prevention in the light of the French Registry of Acute ST Elevation or non-ST Elevation Myocardial Infarction registries.

Puymirat Etienne E Bonaca Marc M Fumery Maxime M Tea Victoria V Aissaoui Nadia N Lemesles Gilles G Bonello Laurent L Ducrocq Grégory G Cayla Guillaume G Ferrières Jean J Schiele François F Simon Tabassome T Danchin Nicolas N

Clinical cardiology 20181227 2

<h4>Background</h4>Guidelines recommend using risk stratification tools in acute myocardial infarction (AMI) to assist decision-making. The Thrombolysis in Myocardial Infarction Risk Score for Secondary Prevention (TRS-2P) has been recently developed to characterize long-term risk in patients with MI.<h4>Hypothesis</h4>We aimed to assess the TRS-2P in the French Registry of Acute ST Elevation or non-ST elevation MI registries.<h4>Methods</h4>We used data from three 1-month French registries, con ...[more]

PMID: 30536449

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Project description:BackgroundMany mortality risk scoring tools exist among patients with ST-elevation Myocardial Infarction (STEMI). A risk stratification model that evaluates STEMI prognosis more simply and rapidly is preferred in clinical practice.Methods and findingsWe developed a simple stratification model for blood examination by using the STEMI data of AMI-Kyoto registry in the derivation set (n = 1,060) and assessed its utility for mortality prediction in the validation set (n = 521). We selected five variables that significantly worsen in-hospital mortality: white blood cell count, hemoglobin, C-reactive protein, creatinine, and blood sugar levels at >10,000/μL, <10 g/dL, >1.0 mg/dL, >1.0 mg/dL, and >200 mg/dL, respectively. In the derivation set, each of the five variables significantly worsened in-hospital mortality (p < 0.01). We developed the risk stratification model by combining laboratory variables that were scored based on each beta coefficient obtained using multivariate analysis and divided three laboratory groups. We also found a significant trend in the in-hospital mortality rate for three laboratory groups. Therefore, we assessed the utility of this model in the validation set. The prognostic discriminatory capacity of our laboratory stratification model was comparable to that of the full multivariable model (c-statistic: derivation set vs validation set, 0.81 vs 0.74). In addition, we divided all cases (n = 1,581) into three thrombolysis in myocardial infarction (TIMI) risk index groups based on an In TIME II substudy; the cases were further subdivided based on this laboratory model. The high laboratory group had significantly high in-hospital mortality rate in each TIMI risk index group (trend of in-hospital mortality; p < 0.01).ConclusionsThis laboratory stratification model can predict in-hospital mortality of STEMI simply and rapidly and might be useful for predicting in-hospital mortality of STEMI by further subdividing the TIMI risk index.

Dataset Information

Atherothrombotic risk stratification after acute myocardial infarction: The Thrombolysis in Myocardial Infarction Risk Score for Secondary Prevention in the light of the French Registry of Acute ST Elevation or non-ST Elevation Myocardial Infarction registries.

Background

Hypothesis

Methods

Results

Conclusions

Publications

Atherothrombotic risk stratification after acute myocardial infarction: The Thrombolysis in Myocardial Infarction Risk Score for Secondary Prevention in the light of the French Registry of Acute ST Elevation or non-ST Elevation Myocardial Infarction registries.

Similar Datasets

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