Article: Comparison of random urine protein/creatinine ratio with 24-hour urine protein in suspected pre-eclampsia.
2023 Volume 36, Page(s) e00316
Abstract: Introduction: Proteinuria is one of the classical criteria for the diagnosis of pre-eclampsia. The gold standard remains the measurement of 24-h urine protein which is time consuming and prone to preanalytical errors. Random urine protein creatinine ... ...
Abstract | Introduction: Proteinuria is one of the classical criteria for the diagnosis of pre-eclampsia. The gold standard remains the measurement of 24-h urine protein which is time consuming and prone to preanalytical errors. Random urine protein creatinine ratio (UPCR) is endorsed by clinical practice guidelines as a faster alternative. The aim of this study was to evaluate the correlation between the 24-h urine protein excretion and UPCR in the identification of proteinuria in suspected preeclamptic patients. Method: A total of 51 women with suspected pre-eclampsia from the maternal fetal clinic of our institution were retrospectively studied. The correlation between the UPCR in random urine samples and protein excretion in the 24-h urine collection was determined by Deming Regression analysis and Pearson correlation on EP evaluator and SPSS respectively. Result: There was a significant positive correlation between the numerical values obtained by 24-h urine protein and the UPCR (R = 0.88, P < 0.001). Concordance analysis showed 81.1% positive agreement for proteinuria between methods (>300 mg/24hr and >0.3) and 71.4% negative agreement. The clinical sensitivity and specificity of the UPCR was 74% and 69% respectively. Conclusion: Overall, UPCR was well correlated with 24-h urine protein and could be an effective and compliant screening tool to indicate proteinuria in preeclamptic patients. |
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Language | English |
Publishing date | 2023-06-21 |
Publishing country | Netherlands |
Document type | Journal Article |
ZDB-ID | 2834973-8 |
ISSN | 2352-5517 |
ISSN | 2352-5517 |
DOI | 10.1016/j.plabm.2023.e00316 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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