fullPIERS Model in the Prediction of Adverse Maternal Outcomes in Preeclampsia

N/ANot Yet RecruitingNCT07316140

Sohag University50 enrolled

Overview

Apredictive formula, fullPIERS (Pre-eclampsia Integrated Estimate of Risk Score), can be used to estimate the risk of suffering an adverse outcome using information obtained within 48 hours of admission with pre-eclampsia. The following information is used, serum creatinine, gestational age, platelet count,

Inclusion criteria Patients diagnosed with preeclampsia, defined by hypertension (systolic BP ≥140 mmHg and/or diastolic BP ≥90 mmHg, measured twice more than 4 hours apart after 20 weeks gestation) Proteinuria of at least 0.3 g/dl or ≥300 mg of protein in a 24-hour urine collection Urine albumin-creatinine ratio (ACR) ≥30 mg/mmol, or hypertension with end organ dysfunction after20 weeks gestation

Study Type

OBSERVATIONAL

Enrollment

Conditions

Preeclampsia Fullpairs

Eligibility

Sex: FEMALE

Medical Language ↔ Plain English

* Inclusion Criteria Female patients diagnosed with preeclampsia. Gestational age ≥ 20 weeks. Hypertension defined as: Systolic blood pressure ≥ 140 mmHg and/or Diastolic blood pressure ≥ 90 mmHg, measured on at least two occasions more than 4 hours apart. Proteinuria defined as: * 300 mg protein in a 24-hour urine collection or * 0.3 g/dL on urine analysis. Singleton pregnancy. Exclusion Criteria Patients who do not meet the clinical or laboratory diagnostic criteria of preeclampsia.

Locations (1)

Obsetatric and gynacological department at Sohag universtiy hospital

Sohag, Egypt

Outcomes

Primary Outcomes

Validation of the fullPIERS prediction model for adverse maternal outcomes using logistic regression-derived predicted probabilities

Time frame: 1year

Evaluate the validity of the fullPIERS model in the prediction of adverse maternal outcomes in women with pre-eclampsia in Sohag Governorate, Egypt.

The collected data are then will be used to calculate the predicted probability of adverse outcomes using the fullPIERS logistic regression equation logit(p)=2.68+(-5.41×10-2×gestational age) +1.23×(chest pain or dyspnea)+(-2.71×10 -2×creatinine) .

Time frame: 1year

Data from ClinicalTrials.gov

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