Predictive Value of Hematologic Indices in the Diagnosis of Acute Coronary Syndrome

Authors

  • Kevin Luke Faculty of Medicine, Universitas Airlangga, Surabaya, East Java, Indonesia
  • Bambang Purwanto Department of Physiology, Faculty of Medicine, Universitas Airlangga, Surabaya, East Java, Indonesia
  • Lilik Herawati Department of Physiology, Faculty of Medicine, Universitas Airlangga, Surabaya, East Java, Indonesia
  • Makhyan Jibril Al-Farabi Department of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya, East Java, Indonesia; School of Management, Healthcare Entrepreneurship Division, University College London, Gower St, Bloomsbury, WC1E 6BT, London, UK
  • Yudi Her Oktaviono Department of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya, East Java, Indonesia

DOI:

https://doi.org/10.3889/oamjms.2019.666

Keywords:

Atherosclerosis, Chest Pain, Complete Blood Count, Inflammation

Abstract

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.

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Published

2019-08-13

How to Cite

1.
Luke K, Purwanto B, Herawati L, Jibril Al-Farabi M, Her Oktaviono Y. Predictive Value of Hematologic Indices in the Diagnosis of Acute Coronary Syndrome. Open Access Maced J Med Sci [Internet]. 2019 Aug. 13 [cited 2024 Apr. 21];7(15):2428-33. Available from: https://oamjms.eu/index.php/mjms/article/view/oamjms.2019.666

Issue

Section

B - Clinical Sciences

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