Next Article in Journal
Biphasic Temporal Relationship between Cancers and Systemic Sclerosis: A Clinical Series from Montpellier University Hospital and Review of the Literature
Previous Article in Journal
Increased Amygdala Activations during the Emotional Experience of Death-Related Pictures in Complicated Grief: An fMRI Study
Previous Article in Special Issue
High-Sensitivity Troponin T Testing: Consequences on Daily Clinical Practice and Effects on Diagnosis of Myocardial Infarction
Open AccessArticle

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

1
Miyazaki Medical Association Hospital Cardiovascular Center, Miyazaki 880-0834, Japan
2
Department of Cardiovascular Medicine, Saga University, Saga 849-8501, Japan
3
Clinical Research Center, Saga University Hospital, Saga 849-8501, Japan
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2020, 9(3), 852; https://doi.org/10.3390/jcm9030852
Received: 14 February 2020 / Revised: 16 March 2020 / Accepted: 17 March 2020 / Published: 20 March 2020
(This article belongs to the Special Issue Therapies for Myocardial Injury and Infarction)
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. View Full-Text
Keywords: ST-segment-elevation myocardial infarction; risk score; in-hospital mortality ST-segment-elevation myocardial infarction; risk score; in-hospital mortality
Show Figures

Figure 1

MDPI and ACS Style

Goriki, Y.; Tanaka, A.; Nishihira, K.; Kawaguchi, A.; Natsuaki, M.; Watanabe, N.; Ashikaga, K.; Kuriyama, N.; Shibata, Y.; Node, K. A Novel Predictive Model for In-Hospital Mortality Based on a Combination of Multiple Blood Variables in Patients with ST-Segment-Elevation Myocardial Infarction. J. Clin. Med. 2020, 9, 852.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop