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Coronary Progenitor Cells and Soluble Biomarkers in Cardiovascular Prognosis after Coronary Angioplasty
Published on: January 28, 2020
Prognostic value of hematological parameters in older adult patients with acute coronary syndrome undergoing coronary
Umar Hafiz Khan1, Murtaza Rashid Pala2, Imran Hafeez3
1Geriatric Medicine, Department of Internal Medicine, Sher-i-Kashmir Institute of Medical Sciences, Srinagar, India.
Insights
Neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) can predict 30-day mortality in elderly patients with acute coronary syndrome (ACS). NLR is a more reliable predictor than total white blood cell count for risk classification.
Area of Science:
- Geriatric Medicine
- Cardiology
- Hematology
Background:
- Cardiovascular disease (CVD) significantly impacts geriatric patients.
- Systemic inflammation is linked to age-related bone marrow changes and atherosclerosis.
- Hematological biomarkers may predict mortality in elderly ACS patients.
Purpose of the Study:
- To evaluate the predictive accuracy of hematological biomarkers for 30-day mortality in older adults with acute coronary syndrome (ACS).
Main Methods:
- Prospective observational study of 601 elderly ACS patients (age > 60) undergoing percutaneous coronary intervention.
- Assessed baseline hematological parameters and 30-day mortality.
- Utilized logistic regression and receiver operating characteristic (ROC) curve analysis.
Main Results:
- Mean age was 77 years. Mean NLR was 5.07; mean PLR was 108.65.
- Univariate analysis showed NLR (OR=1.10) and PLR (OR=1.05) associated with mortality.
- NLR predicted mortality with 68.1% accuracy; PLR with 65.7% accuracy. NLR was an independent predictor (OR=1.096).
Conclusions:
- Neutrophil-lymphocyte ratio (NLR) is a valuable predictor of 30-day mortality in elderly ACS patients.
- NLR demonstrates higher predictive accuracy compared to total white blood cell count.
- NLR is recommended for risk stratification in geriatric ACS patients.
Background:
Cardiovascular disease is a significant contributor to the disease burden in geriatric patients. Underlying systemic inflammation is thought to be the cause of age-related changes in the bone marrow and a major risk factor for atherosclerosis. The purpose of the study was to assess the accuracy of these hematological biomarkers in predicting 30-day mortality in older patients with acute coronary syndrome (ACS).
Methods:
This was a prospective observational study of 601 older adult patients (age > 60 years) with ACS who underwent percutaneous coronary intervention over two years (2017-2019). The relationship between baseline hematological parameters and mortality was assessed during the 30-day follow-up. Logistic regression analysis and receiver operating characteristic curve analysis were done to evaluate for diagnostic accuracy of various hematological parameters.
Results:
The mean age of presentation was 77 ± 17 years. The mean neutrophil-lymphocyte ratio (NLR) value was 5.07 ± 4.90 and the mean platelet-lymphocyte ratio (PLR) value was 108.65 ± 85.82. On univariate analysis, total leucocyte count [odds ratio (OR) = 0.85, P = 0.021], hematocrit (OR = 0.91, P = 0.018), NLR (OR = 1.10, P = 0.001) and PLR (OR = 1.05, P = 0.001) were associated with mortality. On receiver operating characteristic curve analysis, NLR predicted mortality with 68.1% and PLR with 65.7% accuracy. On multivariate analysis, NLR (OR = 1.096, 95% CI: 1.006-1.15, P = 0.035) was an independent predictor of 30-day mortality.
Conclusions:
For the risk classification of all elderly ACS patients, we highly advise using NLR rather than the total white blood cell count.
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