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预测急性冠状动脉综合征出院后两年的死亡率:一个基于国际的风险评分。

Predicting two-year mortality from discharge after acute coronary syndrome: An internationally-based risk score.

机构信息

London School of Hygiene and Tropical Medicine, London, UK.

Peking University First Hospital, Beijing, China.

出版信息

Eur Heart J Acute Cardiovasc Care. 2019 Dec;8(8):727-737. doi: 10.1177/2048872617719638. Epub 2017 Aug 4.

Abstract

BACKGROUND

Long-term risk of post-discharge mortality associated with acute coronary syndrome remains a concern. The development of a model to reliably estimate two-year mortality risk from hospital discharge post-acute coronary syndrome will help guide treatment strategies.

METHODS

EPICOR (long-tErm follow uP of antithrombotic management patterns In acute CORonary syndrome patients, NCT01171404) and EPICOR Asia (EPICOR Asia, NCT01361386) are prospective observational studies of 23,489 patients hospitalized for an acute coronary syndrome event, who survived to discharge and were then followed up for two years. Patients were enrolled from 28 countries across Europe, Latin America and Asia. Risk scoring for two-year all-cause mortality risk was developed using identified predictive variables and forward stepwise Cox regression. Goodness-of-fit and discriminatory power was estimated.

RESULTS

Within two years of discharge 5.5% of patients died. We identified 17 independent mortality predictors: age, low ejection fraction, no coronary revascularization/thrombolysis, elevated serum creatinine, poor EQ-5D score, low haemoglobin, previous cardiac or chronic obstructive pulmonary disease, elevated blood glucose, on diuretics or an aldosterone inhibitor at discharge, male sex, low educational level, in-hospital cardiac complications, low body mass index, ST-segment elevation myocardial infarction diagnosis, and Killip class. Geographic variation in mortality risk was seen following adjustment for other predictive variables. The developed risk-scoring system provided excellent discrimination (-statistic=0.80, 95% confidence interval=0.79-0.82) with a steep gradient in two-year mortality risk: >25% (top decile) . ~1% (bottom quintile). A simplified risk model with 11 predictors gave only slightly weaker discrimination (-statistic=0.79, 95% confidence interval =0.78-0.81).

CONCLUSIONS

This risk score for two-year post-discharge mortality in acute coronary syndrome patients ( www.acsrisk.org ) can facilitate identification of high-risk patients and help guide tailored secondary prevention measures.

摘要

背景

急性冠状动脉综合征(acute coronary syndrome,ACS)患者出院后的远期死亡风险仍然是一个关注点。开发一种能够可靠估计 ACS 患者出院后两年内死亡风险的模型,将有助于指导治疗策略。

方法

EPICOR(长期随访抗血栓治疗模式在急性冠状动脉综合征患者中的应用,NCT01171404)和 EPICOR Asia(EPICOR Asia,NCT01361386)是两项前瞻性观察性研究,共纳入 23489 例因 ACS 住院的患者,这些患者存活至出院并在出院后随访 2 年。这些患者来自欧洲、拉丁美洲和亚洲的 28 个国家。通过识别预测变量并采用向前逐步 Cox 回归,建立了用于预测两年内全因死亡率风险的风险评分模型。评估了模型的拟合优度和判别能力。

结果

在出院后的两年内,有 5.5%的患者死亡。我们确定了 17 个独立的死亡预测因素:年龄、低射血分数、未进行冠状动脉血运重建/溶栓治疗、血清肌酐升高、EQ-5D 评分差、低血红蛋白、既往有心脏或慢性阻塞性肺疾病、血糖升高、出院时使用利尿剂或醛固酮抑制剂、男性、低教育水平、住院期间出现心脏并发症、低体重指数、ST 段抬高型心肌梗死诊断和 Killip 分级。在调整其他预测变量后,发现死亡率存在地理差异。该风险评分系统具有良好的判别能力(-统计量=0.80,95%置信区间=0.79-0.82),且两年内死亡率的风险呈陡峭梯度:>25%(最高十分位数)~1%(最低五分位数)。一个包含 11 个预测因素的简化风险模型仅略有较弱的判别能力(-统计量=0.79,95%置信区间=0.78-0.81)。

结论

该 ACS 患者出院后两年内死亡风险评分系统(www.acsrisk.org)有助于识别高危患者,并有助于指导有针对性的二级预防措施。

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