Evaluating Platelet-Large Cell Ratio (P-LCR) as an Accessible Biomarker for Myocardial Injury in Acute Coronary Syndrome

Background: The accurate and timely diagnosis of acute coronary syndrome (ACS) in resource-limited healthcare settings is critically hampered by the high cost and limited availability of the gold-standard biomarker, Troponin I. This study aimed to conduct a preliminary evaluation of the association between two accessible platelet indices derived from the complete blood count—the platelet-large cell ratio (P-LCR) and the immature platelet fraction (IPF)—and the quantitative degree of myocardial injury in patients with ACS. Methods: An exploratory, cross-sectional study was conducted on 51 consecutive patients diagnosed with ACS at a tertiary referral hospital in Medan, Indonesia. The relationship between admission P-LCR, IPF, and Troponin I was assessed using a multi-faceted statistical approach, including Spearman's rank correlation, an exploratory multivariable linear regression model, and a Receiver Operating Characteristic (ROC) curve analysis. A post-hoc power analysis was performed to contextualize the findings. Results: The study was found to be statistically underpowered (power ≈ 60%) to reliably detect weak correlations. A statistically significant but weak positive correlation was observed between P-LCR and Troponin I levels (Spearman's ρ = 0.31, p = 0.026). This association remained significant after adjusting for age, gender, and ACS subtype, but the overall model demonstrated minimal explanatory power (Adjusted R² = 0.18). The ROC analysis for P-LCR in discriminating between normal and elevated Troponin I was poor (Area Under the Curve = 0.65; 95% CI: 0.50 - 0.79). No significant correlation was found between IPF and Troponin I (p = 0.093). Conclusion: P-LCR exhibits a weak, independent statistical association with the degree of myocardial injury in ACS patients. However, its poor discriminatory performance, coupled with the profound methodological limitations of this preliminary study, demonstrates that P-LCR is not a clinically useful biomarker for the identification or stratification of myocardial injury. These findings underscore the significant translational gap between a plausible biological hypothesis and a clinically viable diagnostic tool, highlighting the immense complexities that must be addressed in future, more robustly designed research.

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Publication Details

Journal
Bioscientia Medicina Journal of Biomedicine and Translational Research
Published
2025-09-10
DOI
https://doi.org/10.37275/bsm.v9i11.1441
Primary Topic
Acute Myocardial Infarction Research
Type
article
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article

Evaluating Platelet-Large Cell Ratio (P-LCR) as an Accessible Biomarker for Myocardial Injury in Acute Coronary Syndrome

Malayana Rahmita Nasution, Dewi Indah Sari Siregar, Muhammad Riza Lubis, Hana Fauziyah
Bioscientia Medicina Journal of Biomedicine and Translational Research
Acute Myocardial Infarction Research
article

Evaluating Platelet-Large Cell Ratio (P-LCR) as an Accessible Biomarker for Myocardial Injury in Acute Coronary Syndrome

Malayana Rahmita Nasution, Dewi Indah Sari Siregar, Muhammad Riza Lubis, Hana Fauziyah
article en

Abstract

Background: The accurate and timely diagnosis of acute coronary syndrome (ACS) in resource-limited healthcare settings is critically hampered by the high cost and limited availability of the gold-standard biomarker, Troponin I. This study aimed to conduct a preliminary evaluation of the association between two accessible platelet indices derived from the complete blood count—the platelet-large cell ratio (P-LCR) and the immature platelet fraction (IPF)—and the quantitative degree of myocardial injury in patients with ACS. Methods: An exploratory, cross-sectional study was conducted on 51 consecutive patients diagnosed with ACS at a tertiary referral hospital in Medan, Indonesia. The relationship between admission P-LCR, IPF, and Troponin I was assessed using a multi-faceted statistical approach, including Spearman's rank correlation, an exploratory multivariable linear regression model, and a Receiver Operating Characteristic (ROC) curve analysis. A post-hoc power analysis was performed to contextualize the findings. Results: The study was found to be statistically underpowered (power ≈ 60%) to reliably detect weak correlations. A statistically significant but weak positive correlation was observed between P-LCR and Troponin I levels (Spearman's ρ = 0.31, p = 0.026). This association remained significant after adjusting for age, gender, and ACS subtype, but the overall model demonstrated minimal explanatory power (Adjusted R² = 0.18). The ROC analysis for P-LCR in discriminating between normal and elevated Troponin I was poor (Area Under the Curve = 0.65; 95% CI: 0.50 - 0.79). No significant correlation was found between IPF and Troponin I (p = 0.093). Conclusion: P-LCR exhibits a weak, independent statistical association with the degree of myocardial injury in ACS patients. However, its poor discriminatory performance, coupled with the profound methodological limitations of this preliminary study, demonstrates that P-LCR is not a clinically useful biomarker for the identification or stratification of myocardial injury. These findings underscore the significant translational gap between a plausible biological hypothesis and a clinically viable diagnostic tool, highlighting the immense complexities that must be addressed in future, more robustly designed research.

Bioscientia Medicina Journal of Biomedicine and Translational ResearchVol. 9(11)
Universitas Sumatera Utara (ID)
Openalex Percentile: Top 63%
Acute Myocardial Infarction Research
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