ArticleOpen access Macedonian journal of medical sciences2019
Predictive Value of Hematologic Indices in the Diagnosis of Acute Coronary Syndrome.
Article in Open access Macedonian journal of medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Assessment of the Severity of Intermediate Coronary Artery Stenosis Using the Systemic Inflammatory Response Index.Diagnostics (Basel, Switzerland) · 2025Article
- Evaluating the association of ischemic ECG changes and CBC parameters in normal population.ARYA atherosclerosis · 2025Article
- Hematologic Indices and Global Registry of Acute Coronary Events (GRACE) Risk Score in Acute Coronary Syndrome Patients in Ethiopia.Ethiopian journal of health sciences · 2024Article
- Haematological Indices in Acute Coronary Syndrome Patients in Ethiopia: A Comparative Cross-Sectional Study.Journal of blood medicine · 2024Article
- Sexual dimorphism in peripheral blood cell characteristics linked to recanalization success of endovascular thrombectomy in acute ischemic stroke.Journal of thrombosis and thrombolysis · 2023Article
- Assessment of Inflammatory Hematological Ratios (NLR, PLR, MLR, LMR and Monocyte/HDL-Cholesterol Ratio) in Acute Myocardial Infarction and Particularities in Young Patients.International journal of molecular sciences · 2023Review
- Trend of Galectin-3 Levels in Patients with Non-ST-Elevation and ST-Elevation Myocardial Infarction.Medicina (Kaunas, Lithuania) · 2022Article
- Monocyte/Lymphocyte Ratio and MCHC as Predictors of Collateral Carotid Artery Disease-Preliminary Report.Journal of personalized medicine · 2021Article
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5 authors.
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Abstract
backgroundDistinguishing between Acute Coronary Syndrom (ACS) and SCAD (Stable Coronary Artery Disease) requires advanced laboratory instrument and electrocardiogram. However, their availabilities in primary care settings in developing countries are limited. Hematologic changes usually occur in the ACS patient and might be valuable to distinguish ACS from SCAD.
aimThis study compares the hematologic indices between ACS and SCAD patients and analyses its predictive value for ACS. MATERIAL AND
methodsA total of 191 patients (79 ACS and 112 SCAD) were enrolled in this study based on the inclusion criteria. Patient's characteristic, hematologic indices on admission, and the final diagnosis were obtained from medical records. Statistical analyses were done using SPSS 23.0.
resultsIn this research MCHC value (33.40 vs. 32.80 g/dL; p < 0.05); WBC (11.16 vs. 7.40 x109/L; p < 0.001); NLR (6.29 vs. 2.18; p < 0.001); and PLR (173.88 vs 122.46; p < 0.001) were significantly higher in ACS compared to SCAD patients. While MPV (6.40 vs. 10.00 fL; p < 0.001) was significantly lower in ACS patients. ROC curve analysis showed MPV had the highest AUC (95%) for ACS diagnosis with an optimum cut-off point at ≤ 8.35 fL (sensitivity 93.6% and specificity 97.3%).
conclusionThere was a significant difference between hematologic indices between ACS and SCAD patients. MPV is the best indices to distinguish ACS.
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