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Predictive value of platelet parameters for early-onset pre-eclampsia: A prospective cohort study in a teaching
DipenKumar Thakkar1, Jeel Shihora1, Rohankumar Gandhi1
1Department of Community Medicine, Shri MP Shah Medical College, Jamnagar, Gujarat, India.
Insights
Platelet parameters like mean platelet volume (MPV), platelet distribution width (PDW), and platelet count (PC) can predict early-onset pre-eclampsia. These markers, measured early in pregnancy, aid in identifying high-risk pregnancies for timely intervention.
Area of Science:
- Obstetrics and Gynecology
- Hematology
- Maternal-Fetal Medicine
Background:
- Early-onset pre-eclampsia poses significant risks to mothers and newborns.
- Early detection is vital for effective management and improved pregnancy outcomes.
- Novel biomarkers are needed for predicting early-onset pre-eclampsia.
Purpose of the Study:
- To assess the predictive capability of platelet parameters for early-onset pre-eclampsia.
- To evaluate mean platelet volume (MPV), platelet distribution width (PDW), and platelet count (PC) as potential biomarkers.
- To determine if these parameters measured in early gestation can forecast the condition.
Main Methods:
- A prospective cohort study involving 712 pregnant women was conducted.
- Platelet parameters (MPV, PDW, PC) were measured between 14-18 weeks of gestation.
- Receiver operating characteristic (ROC) curves were utilized to analyze predictive accuracy.
Main Results:
- Women who developed early-onset pre-eclampsia showed higher MPV and PDW, and lower PC.
- A combination of MPV, PDW, and PC demonstrated high predictive value (AUC: 0.951).
- Individual platelet parameters also exhibited significant predictive ability.
Conclusions:
- Platelet parameters (MPV, PDW, PC) measured in early pregnancy are effective predictors of early-onset pre-eclampsia.
- Integrating these parameters into antenatal screening can enhance early identification of at-risk pregnancies.
- Further validation and cost-effectiveness studies are recommended.
Background:
Early-onset pre-eclampsia is associated with severe maternal and perinatal complications. Identifying novel biomarkers for early prediction is crucial for timely intervention and improved outcomes. This study aimed to evaluate the predictive value of platelet parameters, namely mean platelet volume (MPV), platelet distribution width (PDW), and platelet count (PC), for early-onset pre-eclampsia.
Methods:
A prospective cohort study was conducted at a tertiary care hospital in Gujarat, India. Pregnant women (n = 712) between 14 and 18 weeks of gestation were enrolled and followed up until delivery. MPV, PDW, and PC were measured at enrollment. The primary outcome was the development of early-onset pre-eclampsia (<34 weeks). Receiver operating characteristic (ROC) curves were used to evaluate the predictive value of platelet parameters.
Results:
The prevalence of early-onset pre-eclampsia was 5.3%. Women who developed early-onset pre-eclampsia had significantly higher MPV and PDW and lower PC at 14-18 weeks compared to those who remained normotensive. The combination of MPV > 10.2 fL, PDW > 16.5 fL, and PC < 180 × 103/µL had the highest predictive value (AUC: 0.951, sensitivity: 71.1%, specificity: 99.1%). Individual platelet parameters also demonstrated good predictive ability.
Conclusion:
Platelet parameters, particularly MPV, PDW, and PC, measured at 14-18 weeks of gestation, have good predictive value for early-onset pre-eclampsia. Incorporating these parameters into routine antenatal screening could improve the early identification of at-risk women. Further research is needed to validate these findings and evaluate the cost-effectiveness of implementation.
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