Prediction of Preeclampsia during Pregnancy Using Platelet Parameters at Ayder Comprehensive Specialized and Mekelle General Hospitals in Mekelle, Tigray, Ethiopia
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Date
2017-06
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Addis Ababa University
Abstract
Background:Platelet abnormality is one of the most commonly identified hematological
abnormality in preeclampsia.Preeclampsia is a major obstetric problem and cause of maternal
mortality especially in developing countries. However, platelet parameter of preeclamptic
women is not well recognized as a tool for prediction and prognosis of preeclampsia in Ethiopia.
Objectives: To evaluate the role of platelet parameters in prediction of preeclampsia at Ayder
comprehensive specialized and Mekelle General Hospitals.
Methods:A cross sectional comparative study was conducted on 219 pregnant women at ACSH
and MGH in Mekelle city from January to March 2017.Using convenient sampling method,79
diagnosed cases of preeclampsia and 140 healthy pregnant women were selected. Platelet
parameters were analyzed from EDTA venous blood sample by automated hematology analyzer
(SYSMEX-XT 4000i).One-way ANOVAsupplemented with post-hoc test was done to compare
the mean platelet parameters difference across the three groups of women. Receiver Operating
Characteristics (ROC) curve was used to calculate sensitivity, specificity, positive predictive
value (PPV), negative predictive value (NPV), for a given platelet parameters in discriminating
the presence or the absence of preeclampsia. Pearson correlation test was used to see the
relationship between continuous variables. The data was cleaned, entered and analyzed using
SPSS version 20 software. A P-value of <0.05 was considered as statistically significant
Result:The platelet count in severe preeclampsia was significantly lower than in mild pre
eclampsia andcontrols while all platelet indices were increased with severity of preeclampsia
with a statistical significant difference P<0.05. Results showed a negative correlation between
platelet count and strong positive correlation between platelet indices .ROC analysis showed that
MPV was seen to have largest area under the curve (AUC=0.85; 95%CI (0.79, 0.89)) with cutoff
value >9.45fl , sensitivity of 83.5% , specificity of 86.4%, positive predictive value of 77.6% and
negative predictive value of 90.3%, indicating as it is the best parameter for predicting
preeclampsia. The second most important predictor parameter identified was platelet count.
Conclusion:The estimation of platelet parameters may be considered as reliable, economic and
rapid
method
for
prediction
of
preeclampsia
and
assessment
of
its
severity.
Keywords: platelet indices, platelet count, preeclampsia, Predictive value
Description
Keywords
Platelet indices, Platelet count, Preeclampsia