Development of a Laboratory Risk-Score Model to Predict One-Year Mortality in Acute Myocardial Infarction Survivors
Development of a Laboratory Risk-Score Model to Predict One-Year Mortality in Acute Myocardial Infarction Survivors
复制标题
预测急性心肌梗死存活者一年死亡率的实验室风险评分模型的建立
DOI：
10.3390/jcm11123497
复制
发表时间：
2022-06-17
影响因子：
3.9
通讯作者：
中科院分区：
文献类型：
--
作者：
急性心肌梗死（AMI）幸存者出院后的高死亡率令人担忧，这表明需要可靠，易于使用的风险预测工具。我们的目的是检查联合术前血液检测风险模型是否能预测AMI幸存者的一年死亡率。总体而言，1355例接受直接冠状动脉血运重建的连续AMI患者被分为推导（n = 949）和验证（n = 406）队列。生成了入院时术前常规血液检测参数的风险评分模型。在推导队列中，多变量分析表明血红蛋白< 11 g/dL（比值比（OR）4.01），估计肾小球滤过率< 30 mL/min/1.73 m2（OR 3.75），白蛋白< 3.8 mg/dL高敏肌钙蛋白I > 2560 ng/L（OR 3.78）与出院后1年死亡率显著相关。根据所选变量的计数，风险评分从0到4分，增加与两个队列中较高的一年死亡率显著相关（p < 0.001）。风险模型的受试者工作特征曲线分析表明，1年死亡和未死亡患者之间存在充分的区分（推导队列中的曲线下面积（95%置信区间）为0.850（0.756-0.912）;验证队列中为0.820（0.664-0.913））。我们的实验室风险评分模型可用于预测AMI存活者的一年死亡率。
The high post-discharge mortality rate of acute myocardial infarction (AMI) survivors is concerning, indicating a need for reliable, easy-to-use risk prediction tools. We aimed to examine if a combined pre-procedural blood testing risk model predicts one-year mortality in AMI survivors. Overall, 1355 consecutive AMI patients who received primary coronary revascularization were divided into derivation (n = 949) and validation (n = 406) cohorts. A risk-score model of parameters from pre-procedural routine blood testing on admission was generated. In the derivation cohort, multivariable analysis demonstrated that hemoglobin < 11 g/dL (odds ratio (OR) 4.01), estimated glomerular filtration rate < 30 mL/min/1.73 m2 (OR 3.75), albumin < 3.8 mg/dL (OR 3.37), and high-sensitivity troponin I > 2560 ng/L (OR 3.78) were significantly associated with one-year mortality after discharge. An increased risk score, assigned from 0 to 4 points according to the counts of selected variables, was significantly associated with higher one-year mortality in both cohorts (p < 0.001). Receiver-operating characteristics curve analyses of risk models demonstrated adequate discrimination between patients with and without one-year death (area under the curve (95% confidence interval) 0.850 (0.756–0.912) in the derivation cohort; 0.820 (0.664–0.913) in the validation cohort). Our laboratory risk-score model can be useful for predicting one-year mortality in AMI survivors.
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DOI：
10.1016/j.jacasi.2021.07.013
发表时间：
2021-12
期刊：
JACC. Asia
影响因子：
--
作者：
Goriki, Yuhei;Tanaka, Atsushi;Nishihira, Kensaku;Kuriyama, Nehiro;Shibata, Yoshisato;Node, Koichi
通讯作者：
Node, Koichi
影响因子：
5.4
作者：
Cheng YL;Sung SH;Cheng HM;Hsu PF;Guo CY;Yu WC;Chen CH
通讯作者：
Chen CH
影响因子：
5.4
作者：
Wanamaker, Brett L.;Seth, Milan M.;Gurm, Hitinder S.
通讯作者：
Gurm, Hitinder S.
影响因子：
4.1
作者：
Kotwal, Sradha;Ranasinghe, Isuru;Gallagher, Martin
通讯作者：
Gallagher, Martin
影响因子：
3.3
作者：
Ibanez, Borja;James, Stefan;Widimsky, Petr
通讯作者：
Widimsky, Petr