Comparing the Prognostic Value of Hematological Indices in Patients With ST Segment Elevation Myocardial Infarction: "A Head to Head" Analysis.
Serhat SigirciÖzgür Selim SerKudret KeskinSuleyman Sezai YildizAhmet GurdalKadriye Orta KilickesmezPublished in: Angiology (2020)
Although there are reviews and meta-analyses focusing on hematological indices for risk prediction of mortality in patients with ST segment elevation myocardial infarction (STEMI), there are not enough data with respect to direct to head-to-head comparison of their predictive values. We aimed to investigate which hematological indices have the most discriminatory capability for prediction of in-hospital and long-term mortality in a large STEMI cohort. We analyzed the data of 1186 patients with STEMI. In-hospital and long-term all-cause mortality was defined as the primary end point of the study. In-hospital mortality rate was 8.6% and long-term mortality rate 9.0%. Although the neutrophil to lymphocyte ratio (NLR) and age were found to be independent predictors of in-hospital mortality in the multivariate regression analyses; Cox regression analysis revealed that age, ejection fraction, red cell distribution width (RDW), and monocyte to high-density lipoprotein ratio (MHDLr) were independently associated with long-term mortality. Neutrophil to lymphocyte ratio had the highest area under curve value in the receiver operating characteristic curve analyses for prediction of in-hospital mortality. In conclusion, while NLR may be used for prediction of in-hospital mortality, RDW and MHDLr ratio are better hematological indices for long-term mortality prediction after STEMI than other most common indices.
Keyphrases
- st segment elevation myocardial infarction
- percutaneous coronary intervention
- cardiovascular events
- st elevation myocardial infarction
- coronary artery disease
- ejection fraction
- risk factors
- acute coronary syndrome
- high density
- optic nerve
- systematic review
- meta analyses
- healthcare
- immune response
- randomized controlled trial
- electronic health record
- data analysis
- type diabetes
- emergency department
- heart failure
- dendritic cells
- machine learning
- mesenchymal stem cells
- left ventricular
- cell therapy
- optical coherence tomography
- adverse drug