Predictive Value of D-Dimer for In-Hospital Mortality in Non-Diabetic Patients with Non-ST-segment Elevation Myocardial Infarction

Author:

Li Bin12ORCID,Liu Xiaojing3,Gao Miaomiao3,Ma Lin4,Yao Wensen5ORCID,Zhao Yujie1

Affiliation:

1. Department of Cardiology, The Seventh People's Hospital of Zhengzhou & Henan Key Laboratory of Cardiac Remodeling and Transplantation, Zhengzhou, China

2. College of Medicine, Xinxiang Medical University, Xinxiang, China

3. Department of Cardiac Rehabilitation, The Seventh People's Hospital of Zhengzhou, Zhengzhou, China

4. Department of Orthopedics, Third Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, China

5. Department of Geriatrics and Special Medical Treatment, The First Hospital of Jilin University, Changchun, China

Abstract

Elevated circulating D-dimer levels have been shown to be a predictor of in-hospital mortality in a variety of diseases; however, the relationship between D-dimer and the in-hospital prognosis of non-ST-segment elevation myocardial infarction (NSTEMI) remains unclear. This retrospective study included 662 non-diabetic patients with NSTEMI. Independent risk factors were identified by multivariate analyses, and the receiver operating characteristic (ROC) curve analyses were performed to compare the predictive value of D-dimer, albumin (ALB), and D-dimer to albumin ratio (DAR) for in-hospital death in NSTEMI. Logistic regression model with restricted cubic spline (RCS) was used to further explore the linear or nonlinear relationship between D-dimer and the risk of death. In-hospital mortality occurred in 38 (5.7%) patients. Multivariate analysis showed that D-dimer (per increase of 500 ng) was identified as an independent predictor for in-hospital mortality in non-diabetic patients with NSTEMI (OR = 1.19, 95% CI: 1.03–1.40, P = 0.036). D-dimer demonstrated good predictive performance for in-hospital mortality with an area under the ROC curve (AUC) value of 0.75 (95% CI: 0.66–0.83), and there was no significant difference in the predictive ability of D-dimer, ALB (AUC = 0.70, 95% CI: 0.61–0.79) and DAR (AUC = 0.75, 95% CI: 0.66–0.84). In addition, RCS analysis showed a linear relationship between D-dimer and the risk of in-hospital mortality (P for nonlinear = 0.747). D-dimer can be used as a simple, reliable and valuable biomarker for predicting in-hospital mortality in non-diabetic patients with NSTEMI and is linearly associated with the risk of death.

Funder

Henan Provincial Science and Technology Key Research and Development Project

Zhengzhou Science and Technology Benefit People Project

Zhengzhou Second-tier Famous Doctor Support Special Project in 2021

Henan Key Laboratory of Cardiac Remodeling and Transplantation

Publisher

SAGE Publications

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