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Microfluidics in Assessing Platelet Function
Published on: November 8, 2024
Red cell distribution width and platelet indices as predictors of mortality in acute coronary syndrome: A prospective
Hariom Gupta1, Umesh Pratap Singh1, Tripathi V D2
1Department of General Medicine, Shyam Shah Medical College and Associated Sanjay Gandhi Memorial Hospital, Rewa, Madhya Pradesh, India.
Insights
Simple blood tests can predict outcomes in Acute Coronary Syndrome (ACS). Higher Red Cell Distribution Width (RDW) and Mean Platelet Volume (MPV) indicate increased mortality risk in ACS patients.
Area of Science:
- Cardiology
- Hematology
- Clinical Research
Background:
- Acute Coronary Syndrome (ACS) is a major cause of death globally.
- Identifying simple markers for risk stratification in ACS is crucial.
Purpose of the Study:
- To investigate the predictive value of baseline hematological parameters for in-hospital mortality and ICU admission in ACS patients.
- To assess the role of routine laboratory markers in early risk stratification of ACS.
Main Methods:
- Prospective study of 140 ACS patients.
- Collected baseline laboratory parameters including RDW, MPV, PDW, NLR, creatinine, urea, and hemoglobin.
- Followed patients for in-hospital mortality and ICU requirement.
Main Results:
- Adverse outcomes occurred in 8.6% of patients.
- Non-survivors had significantly higher Red Cell Distribution Width (RDW), Mean Platelet Volume (MPV), and Platelet Distribution Width (PDW).
- RDW-SD demonstrated the highest predictive accuracy, followed by Neutrophil-to-Lymphocyte Ratio (NLR) and RDW-CV. Creatinine, RDW, PDW, NLR, MPV, and urea were independent mortality predictors; higher hemoglobin was protective.
Conclusions:
- Routine, low-cost hematological markers like RDW, MPV, and PDW can aid in early risk stratification of ACS patients.
- These markers, alongside creatinine, urea, and hemoglobin levels, provide valuable prognostic information for ACS outcomes.
Abstract:
Acute Coronary Syndrome (ACS) is a leading cause of cardiovascular mortality and simple hematological markers may help predict outcomes. Baseline laboratory parameters were recorded and patients were followed for in-hospital mortality and ICU requirement in this prospective study of 140 ACS patients admitted during 2024,. The mean age was 59.3 ± 10.7 years, with 65.7% males, and adverse outcomes occurred in 8.6%. Non-survivors had significantly higher RDW, mean platelet volume (MPV) and platelet distribution width (PDW). RDW-SD showed the highest predictive accuracy, followed by NLR and RDW-CV. Multivariate analysis identified creatinine, RDW, PDW, NLR, MPV, and urea as independent mortality predictors, while higher hemoglobin was protective, supporting the role of routine, low-cost markers in early ACS risk stratification.