Random Urine Protein-creatinine Ratio to Predict Magnitude of Proteinuria in Different Severity of Pre-eclamptic Patients
试验速览
- 阶段
- 不适用
- 入组人数
- 209
- 试验地点
- 1
- 主要终点
- Prediction of significant proteinuria
研究概览
简要总结
The aim of this study was to evaluate diagnostic accuracy of the spot urinary proteinuria, random urine protein- creatinin ratio for prediction of significant proteinuria (≥ 300 mg/24h) and magnitude of proteinuria in patients with in mild preeclampsia and severe preeclampsia. The cross-sectional longitudinal study design used, 209 patients with pre-diagnosed preeclampsia in which in our inpatients clinic included this study. Random urine samples were taken before the 24 hour urine collection for spot urine analysis for evaluated proteinuria and protein/creatinin ratio. 24 hour urine analysis was performed in all patients as the gold standard of the urine total proteinuria.
详细描述
Group 1 consisted of mild preeclampsia and gestational preeclamptic patients and group 2 consisted of severe preeclamptic patients. The predictive values of the spot urinary dipstick proteinuria and protein/creatinin ratio were determinant and the correlations of the diagnostic test of 24 hour total proteinuria were evaluated. The correlations of the severity of the disease and the tests of the proteinuria were evaluated.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 16 Years 至 50 Years（Child, Adult）
- 性别
- Female
- 接受健康志愿者
- 否
入选标准
- •16-50 years old, > 20 gestational week pregnant women pre-diagnosed preeclampsia.
- •Diagnosis and follow-up performed in inpatients clinic.
排除标准
- •The history of chronic hypertension
- •The history of systemic illness such as pre-gestational diabetes, systemic lupus erythematosis , malignancies, renal disease.
- •Pre-existing urinary tract infections
- •Premature rupture of membranes
- •Patients who have previously been enrolled in the study
结局指标
主要结局
Prediction of significant proteinuria
时间窗: 24 hour urine collection
Significant proteiuria:(≥ 300 mg/24h)
次要结局
- Predict to magnitude of total proteinuria(24 hour)
研究者
Ümran Küçükgöz Güleç
Asist. Prof. Dr
Cukurova University