Medical Laboratory Sciences

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Browsing Medical Laboratory Sciences by Subject "Acute Coronary syndrome Platelet count and indices Diagnostic predictivevalue"

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    The Diagnostic Predictive Value of Platelet Count and Platelet Indices in Patients with Acute Coronary Syndrome: A Comparative Cross sectional Study at Tikur Anebesa Specialized Hospital, Addis Ababa, Ethiopia.
    (Addis Ababa University, 2023-09) Gera Kalkidan; Urgessa Fekadu; Tibebu Melatwork
    Background:Acute coronary syndrome(ACS) is the leading cause of death worldwide .The abnormality of Platelet and platelet indices are one of the most commonly identifiedhematological changes in ACS. Objective:To determine the diagnostic predictive value of platelet count and plateletindices in patients with ACS at TikurAnbesa Specialized Hospital, Addis Ababa, Ethiopiafrom April 2021-March2023. Methods:Hospital based comparative cross-sectional study was conducted among 76ACS patients of cases and 152 controls (apparently healthy individuals) in TikurAnbesa specialized hospital(TASH)in Addis Ababa conducted from April 2021 to March 2023.Convenient sampling technique was used. Independent t testwas used for comparisonbetweenthe twogroups.ROC(receiver operating characteristic) curve test used tocalculate positive and negative predictive values, sensitivity and specificity for a givenplatelet indices. Data was entered and analyzed using SPSS version 25 and level ofsignificance was determined when P value was < 0.05. Result:The mean age of ACS group(50.91±11.33) and control group(51.85±11.7) wasmatched. Males study participants predominated females in all groups.The mean ofMean Platelet Volume(MPV) (11.66±.1.19)fl, Platelet Large Cell Ratio(PLCR) (37.35 ±9.58)% and Platelet Distribution Width(PDW) (15.10 ±3.53)fl of ACS group wassignificantly higher than the control group (10.17±1.24)fl, (26.55 ±11.20)%,(11.52 ±2.88)fl,respectively with (p value <0.001) . In Roc analysis MPV ,PDW, PLCR had cut off valueof >10.9fl, >12.7fl, >33.2%, value, respectively and can differentiate ACS from healthyindividuals with Sensitivity of 84.2%,78.9%76.3%, Specificity of75%,67.1%74.3%,Postive Predictive value(PPV)of 66%,54.1%,61.1% and Negativepredictive value (NPV) of 90.4%,86.3%,86.3% ,respectively. The Area under Curve(AUC) of MPV, PDW and PLCR was 0.788, 0.767 and 0.746. Conclusion: The mean ofMPV, PDW and PLCR were significantly increased in ACScompared to control group value .MPV has the highest value of sensitivity, specificity,NPV and PPV followed by PLCR then PDW. These parameters could be used as asupportive tool for prediction of ACS disease on the top of the clinical diagnosis andadvanced tests set up.