Tesfay, Feven (2017) Prediction of Preeclampsia during Pregnancy Using Platelet Parameters at Ayder Comprehensive Specialized and Mekelle General Hospitals in Mekelle, Tigray, Ethiopia. Masters thesis, Addis Ababa University.
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PDF (Prediction of Preeclampsia during Pregnancy Using Platelet Parameters at Ayder Comprehensive Specialized and Mekelle General Hospitals in Mekelle, Tigray, Ethiopia.)
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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.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | platelet indices, platelet count, preeclampsia, Predictive value |
| Subjects: | Q Science > QR Microbiology > QR180 Immunology R Medicine > RA Public aspects of medicine > RA1001 Forensic Medicine. Medical jurisprudence. Legal medicine |
| Divisions: | Africana |
| Depositing User: | Vincent Mpoza |
| Date Deposited: | 31 Oct 2018 10:45 |
| Last Modified: | 31 Oct 2018 10:45 |
| URI: | http://thesisbank.jhia.ac.ke/id/eprint/7199 |
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