BACKGROUND: Distinguishing 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. AIM: This study compares the hematologic indices between ACS and SCAD patients and analyses its predictive value for ACS. MATERIAL AND METHODS: A 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. RESULTS: In 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%). CONCLUSION: There was a significant difference between hematologic indices between ACS and SCAD patients. MPV is the best indices to distinguish ACS.

Original languageEnglish
Pages (from-to)2428-2433
Number of pages6
JournalOpen Access Macedonian Journal of Medical Sciences
Issue number15
Publication statusPublished - 15 Aug 2019


  • Atherosclerosis
  • Chest Pain
  • Complete Blood Count
  • Inflammation


Dive into the research topics of 'Predictive value of hematologic indices in the diagnosis of acute coronary syndrome'. Together they form a unique fingerprint.

Cite this