Utility of mean platelet volume to predict the prevalence of coronary artery disease on coronary angiography in patients with stable angina

To Evaluate Platelet Indices, Platelet to Lymphocyte Ratio and Neutrophil to Lymphocyte Ratio as Prognostic and Risk Factors in Patients with Coronary Artery Disease

To evaluate platelet indices, platelet to lymphocyte ratio and neutrophil to lymphocyte ratio as prognostic and risk factors in patients with coronary artery disease Introduction: cardiovascular diseases have 12 million deaths annually which is one of the commonest causes of death globally. Platelet parameters like Mean platelet volume (MPV), platelet distribution width (PDW) and WBC parameters like Neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio(PLR) have recently been emerging as a new prognostic marker in number of coronary artery disease (CAD) with limited studies to explore their utility.

AIMS AND OBJECTIVES

this study aimed to evaluate MPV, P-LCR, PDW, PLR, NLR and GRACE risk score in CAD patients.

MATERIAL AND METHODS

this descriptive cross-sectional study was done in 330 cases of CAD and 200 healthy controls were studied.MPV, platelet-large cell ratio (P-LCR), PLR, NLR and PDW of patients were analyzed.

RESULTS

In our study, 245 were males and 85 were females. Mean PDW, MPV, Mean PLCR, Mean NLR was significantly higher in CAD cases as compared to controls (p value < 0.05). Mean PLR was not significantly different in CAD cases and controls. MPV was more associated risk predictor of CAD (8.98 times) followed by NLR (2.79 times), PDW (1.53 times) and PLCR (1.02 times).

DISCUSSION AND CONCLUSION

platelet indices, NLR and PLR are simple cost effective parameters and in future these might be useful adjuvant tests in conjunction with conventional biochemical cardiac markers in early prediction of risk of CAD in patients admitted to hospital and can guide clinicians in assessing the prognosis on short and long term follow up of these patients in terms of morbidity and mortality.

Selected Hematological Biomarkers to Predict Acute Mortality in Emergency Department Patients. Recent Polish Hospital Statistics

Background

Complete blood count (CBC), red cell distribution width (RDW), mean platelet volume (MPV), mean corpuscular volume (MCV), mean cell hemoglobin (MCH), mean cell hemoglobin concentration (MCHC), or platelet (PLT) count are referred as predictors of adverse clinical outcomes in patients. The aim of the research was to identify potential factors of acute mortality in Polish emergency department (ED) patients by using selected hematological biomarkers and routine statistical tools.

Methods

The study presents statistical results on patients who were recently discharged from inpatient facilities within one month prior to the index ED visit. In total, the analysis comprised 14,881 patients with the first RDW, MPV, MCV, MCH, MCHC, or PLT biomarkers' measurements recorded in the emergency department within the years 2016–2019 with a subsequent one month of all-cause mortality observation. The patients were classified with the codes of the International Statistical Classification of Diseases and Related Health Problems after 10^th Revision (ICD10).

Results

Based on the analysis of RDW, MPV, MCV, MCH, MCHC, and PLT on acute deaths in patients, we establish strong linear and quadratic relationships between the risk factors under study and the clinical response (P < 0.05), however, with different mortality courses and threats. In our statistical analysis, (1) gradient linear relationships were found for RDW and MPV along an entire range of the analyzed biomarkers' measurements, (2) following the quadratic modeling, an increasing risk of death above 95 fL was determined for MCV, and (3) no relation to excess death in ED patients was calculated for MCH, MCHC, and PLT.

Conclusion

The study shows that there are likely relationships between blood counts and expected patient mortality at some time interval from measurements. Up to 1 month of observation since the first measurement of an hematological biomarker, RDW and MPV stand for a strong relationship with acute mortality of patients, whereas MCV, MCH, MCHC, and PLT give the U-shaped association, RDW and MPV can be established as the stronger predictors of early deaths of patients, MCV only in the highest levels (>95 fL), whereas MCH, MCHC, and PLT have no impact on the excess acute mortality in ED patients.