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A Novel Predictive Model for In-Hospital Mortality Based on a Combination of Multiple Blood Variables in Patients with ST-Segment-Elevation Myocardial Infarction

発表形態:
原著論文
主要業績:
主要業績
単著・共著:
共著
発表年月:
2020年03月
DOI:
10.3390/jcm9030852
会議属性:
指定なし
査読:
有り
リンク情報:

日本語フィールド

著者:
Yuhei Goriki, Atsushi Tanaka, Kensaku Nishihira, Atsushi Kawaguchi, Masahiro Natsuaki, Nozomi Watanabe, Keiichi Ashikaga, Nehiro Kuriyama, Yoshisato Shibata, Koichi Node
題名:
A Novel Predictive Model for In-Hospital Mortality Based on a Combination of Multiple Blood Variables in Patients with ST-Segment-Elevation Myocardial Infarction
発表情報:
J Clin Med. 巻: 9 号: 3 ページ: 852
キーワード:
概要:
In emergency clinical settings, it may be beneficial to use rapidly measured objective variables for the risk assessment for patient outcome. This study sought to develop an easy-to-measure and objective risk-score prediction model for in-hospital mortality in patients with ST-segment elevation myocardial infarction (STEMI). A total of 1027 consecutive STEMI patients were recruited and divided into derivation (n = 669) and validation (n = 358) cohorts. A risk-score model was created based on the combination of blood test parameters obtained immediately after admission. In the derivation cohort, multivariate analysis showed that the following 5 variables were significantly associated with in-hospital death: estimated glomerular filtration rate <45 mL/min/1.73 m2, platelet count <15 × 104/μL, albumin ?3.5 g/dL, high-sensitivity troponin I >1.6 ng/mL, and blood sugar ?200 mg/dL. The risk score was weighted for those variables according to their odds ratios. An incremental change in the scores was significantly associated with elevated in-hospital mortality (p < 0.001). Receiver operating characteristic curve analysis showed adequate discrimination between patients with and without in-hospital death (derivation cohort: area under the curve (AUC) 0.853; validation cohort: AUC 0.879), and there was no significant difference in the AUC values between the laboratory-based and Global Registry of Acute Coronary Events (GRACE) score (p = 0.721). Thus, our laboratory-based model might be helpful in objectively and accurately predicting in-hospital mortality in STEMI patients.
抄録:

英語フィールド

Author:
Yuhei Goriki, Atsushi Tanaka, Kensaku Nishihira, Atsushi Kawaguchi, Masahiro Natsuaki, Nozomi Watanabe, Keiichi Ashikaga, Nehiro Kuriyama, Yoshisato Shibata, Koichi Node
Title:
A Novel Predictive Model for In-Hospital Mortality Based on a Combination of Multiple Blood Variables in Patients with ST-Segment-Elevation Myocardial Infarction
Announcement information:
J Clin Med. Vol: 9 Issue: 3 Page: 852
An abstract:
In emergency clinical settings, it may be beneficial to use rapidly measured objective variables for the risk assessment for patient outcome. This study sought to develop an easy-to-measure and objective risk-score prediction model for in-hospital mortality in patients with ST-segment elevation myocardial infarction (STEMI). A total of 1027 consecutive STEMI patients were recruited and divided into derivation (n = 669) and validation (n = 358) cohorts. A risk-score model was created based on the combination of blood test parameters obtained immediately after admission. In the derivation cohort, multivariate analysis showed that the following 5 variables were significantly associated with in-hospital death: estimated glomerular filtration rate <45 mL/min/1.73 m2, platelet count <15 × 104/μL, albumin ?3.5 g/dL, high-sensitivity troponin I >1.6 ng/mL, and blood sugar ?200 mg/dL. The risk score was weighted for those variables according to their odds ratios. An incremental change in the scores was significantly associated with elevated in-hospital mortality (p < 0.001). Receiver operating characteristic curve analysis showed adequate discrimination between patients with and without in-hospital death (derivation cohort: area under the curve (AUC) 0.853; validation cohort: AUC 0.879), and there was no significant difference in the AUC values between the laboratory-based and Global Registry of Acute Coronary Events (GRACE) score (p = 0.721). Thus, our laboratory-based model might be helpful in objectively and accurately predicting in-hospital mortality in STEMI patients.


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