Platelet Parameters Assessment among Sudanese Pregnant Women with Preeclampsia Attending Wad Medani Obstetrics and Gynecology Teaching Hospital

Abstract

Background: Preeclampsia is considered as one of the major health problems associated with pregnancy and one of the causes of maternal mortality. The pathogenesis of preeclampsia associated with platelets activation. Aims and Objectives: The aim of this study was to evaluate the platelets parameters (platelet count and platelet indices) in pregnant women with preeclampsia. Design and Methods: This is a case-control laboratory based study carried out in Wad Medani Obstetrics and Gynecology Teaching Hospital, Gezira State, Sudan from January to November 2020. A total of 50 pregnant women with preeclampsia as cases (32.20 ± 3.21 years) and 50 normotensive pregnant women as controls (30.68 ± 2.85 years) were participated in this study. Three ml of venous blood samples were collected from all participants in K3 EDTA containers. platelets parameters (platelet count and platelet indices) were determined using Mindray BC 3000 Automated Hematology Analyzer. Data were analyzed using SPSS computer program (version 22). Results: The study results showed that the thrombocytopenia account for 56 %, all cases with low PCT (100%). Furthermore the means of PLTs count, PCT and PDW in cases were (144.40 ± 31.80 × 109/L, 0.13 ± 0.03 % and 15.80 ± 0.45 fl respectively) versus controls (269.40 ± 72.50 × 109/L, 0.22 ± 0.05 % and 15.50 ± 0.29 fl respectively), giving statistically significant differences (P value = 0.000, 0.003 and 0.022 respectively). The mean of PCT of mild cases was lower than severe cases (P value = 0.004); but there were no significant differences in PLTs count, MPV and PDW (P value = 0.379, 0.283 and 0.075 respectively). Conclusion: The study concluded that platelet count (PLTs count) and plateletcrit (PCT) were significantly decreased in pregnant women with preeclampsia especially; so platelets parameters especially (PLTs count and PCT) should be included for assessing and predication of the risk of severe preeclampsia.