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Predictive Value of D-Dimer for In-Hospital Mortality in Non-Diabetic Patients with Non-ST-segment Elevation
Bin Li1,2, Xiaojing Liu3, Miaomiao Gao3
1Department of Cardiology, The Seventh People's Hospital of Zhengzhou & Henan Key Laboratory of Cardiac Remodeling and Transplantation, Zhengzhou, China.
Insights
Elevated D-dimer levels predict in-hospital death in non-diabetic patients with non-ST-segment elevation myocardial infarction (NSTEMI). This biomarker is linearly associated with mortality risk, offering a reliable prognostic tool.
Area of Science:
- Cardiology
- Biomarkers
- Clinical Prognosis
Background:
- Elevated D-dimer is a known predictor of mortality across various diseases.
- The prognostic value of D-dimer in non-ST-segment elevation myocardial infarction (NSTEMI) remains under investigation.
- Non-diabetic NSTEMI patients require clear prognostic indicators for in-hospital outcomes.
Purpose of the Study:
- To investigate the association between D-dimer levels and in-hospital mortality in non-diabetic patients with NSTEMI.
- To compare the predictive performance of D-dimer, albumin (ALB), and D-dimer to albumin ratio (DAR) for in-hospital death.
- To explore the nature of the relationship between D-dimer and mortality risk using restricted cubic spline analysis.
Main Methods:
- Retrospective analysis of 662 non-diabetic NSTEMI patients.
- Multivariate logistic regression to identify independent risk factors for in-hospital mortality.
- Receiver operating characteristic (ROC) curve analysis to assess predictive values of D-dimer, ALB, and DAR.
- Restricted cubic spline (RCS) modeling to evaluate linear/nonlinear associations between D-dimer and mortality.
Main Results:
- In-hospital mortality was observed in 5.7% of patients.
- D-dimer was identified as an independent predictor of in-hospital mortality (OR=1.19, P=0.036).
- D-dimer showed significant predictive performance (AUC=0.75), comparable to ALB and DAR, for in-hospital mortality.
- RCS analysis revealed a linear relationship between D-dimer levels and the risk of in-hospital death (P for nonlinear=0.747).
Conclusions:
- D-dimer is a valuable and reliable biomarker for predicting in-hospital mortality in non-diabetic patients with NSTEMI.
- The association between D-dimer and mortality risk in this population is linear.
- D-dimer can aid in risk stratification and clinical decision-making for NSTEMI patients.
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.
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