| Title: |
Correlation of 2 Hour, 4 Hour, 8 Hour and 12 Hour Urine Protein with 24 Hour Urinary Protein in Preeclampsia. |
| Authors: |
Singhal, Savita Rani; Ghalaut, Veena; Lata, Shashi; Madaan, Himanshu; Kadian, Veenu; Sachdeva, Ashuma |
| Source: |
Journal of Family & Reproductive Health; Sep2014, Vol. 8 Issue 3, p131-134, 4p |
| Subject Terms: |
URINE proteins; PROTEINURIA; PREECLAMPSIA; PREGNANCY complications; ALBUMINS; PATIENT compliance; MATERNAL health |
| Abstract: |
Objective: To find shortest and reliable time period of urine collection for determination of proteinuria. Materials and methods: It is a prospective study carried out on 125 pregnant women with preeclampsia after 20 weeks of gestation having urine albumin ≥1 using dipstick test. Urine was collected in five different time intervals in colors labeled containers with the assistance of nursing staff; the total collection time was 24 hours. Total urine protein of two-hour, four-hour, eight-hour, 12-hour and 24-hour urine was measured and compared with 24-hour collection. Data was analyzed using the Pearson correlation coefficient. Results: There was significant correlation (p value < 0.01) in two, four, eight and 12-hour urine protein with 24-urine protein, with correlation coefficient of 0.97, 0.97, 0.96 and 0.97, respectively. When a cut off value of 25 mg, 50 mg. 100 mg, and 150 mg for urine protein were used for 2-hour, 4-hours, 8-hour and 12-hour urine collection, a sensitivity of 92.45%, 95.28%, 91.51%, and 96.23% and a specificity of 68.42%, 94.74%, 84.21% and 84.21% were obtained, respectively. Conclusion: Two-hour urine proteins can be used for assessment of proteinuria in preeclampsia instead of gold standard 24-hour urine collection for early diagnosis and better patient compliance. [ABSTRACT FROM AUTHOR] |
| : |
Copyright of Journal of Family & Reproductive Health is the property of Tehran University of Medical Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Complementary Index |