Bin Li, Xiaojing Liu, Miaomiao Gao, Lin Ma, Wensen Yao, Yujie Zhao
{"title":"Predictive Value of D-Dimer for In-Hospital Mortality in Non-Diabetic Patients with Non-ST-segment Elevation Myocardial Infarction.","authors":"Bin Li, Xiaojing Liu, Miaomiao Gao, Lin Ma, Wensen Yao, Yujie Zhao","doi":"10.1177/10760296241276820","DOIUrl":null,"url":null,"abstract":"<p><p>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, <i>P</i> = 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.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11344250/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/10760296241276820","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
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.