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临床试验/NCT07316140
NCT07316140尚未招募不适用

A Prospective Study of Validation of the fullPIERS Model in the Prediction of Adverse Maternal Outcomes in Women With Pre- Eclampsia in Sohag University Hospital

Sohag University1 个研究点 分布在 1 个国家目标入组 50 人开始时间: 2026年1月1日最近更新:

试验速览

阶段
不适用
状态
尚未招募
入组人数
50
试验地点
1
主要终点
Validation of the fullPIERS prediction model for adverse maternal outcomes using logistic regression-derived predicted probabilities

研究概览

简要总结

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,

详细描述

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

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

性别
Female
接受健康志愿者

入选标准

  • 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.

排除标准

  • Patients who do not meet the clinical or laboratory diagnostic criteria of preeclampsia.

结局指标

主要结局

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

时间窗: 1year

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

时间窗: 1year

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) .

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Alaa Abdellah Mohmed

Residant

Sohag University

研究点 (1)

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