Literature DB >> 15051572

Accuracy of urinalysis dipstick techniques in predicting significant proteinuria in pregnancy.

Jason J S Waugh1, T Justin Clark, T G Divakaran, Khalid S Khan, Mark D Kilby.   

Abstract

OBJECTIVE: To estimate the accuracy of point-of-care dipstick urinalysis in predicting significant proteinuria in pregnancy. DATA SOURCES: Literature from 1970 to February 2002 was identified via 1). general bibliographic databases, that is, MEDLINE and EMBASE, 2). Cochrane Library and relevant specialist register of the Cochrane Collaboration, and 3). checking the reference lists of known primary and review articles. METHODS OF STUDY SELECTION: Studies were selected if the accuracy of dipstick urinalysis techniques in predicting total protein excretion was estimated compared with a reference standard (laboratory estimation of protein excretion). The tests included visually read color-change dipsticks and automated dipstick urinalysis. Study selection, quality assessment, and data abstraction were performed independently and in duplicate. TABULATION, INTEGRATION, AND
RESULTS: Data from selected studies were abstracted as 2 x 2 tables comparing the test result with the reference standard. Test accuracy was expressed as likelihood ratios. Summary likelihood ratios were generated as measures of diagnostic accuracy to determine posttest probabilities. The electronic search produced 1543 citations. After independent review of published articles, a total of 34 articles was obtained for further scrutiny, and 7 studies were considered eligible for inclusion in the review. The 6 studies evaluating visual dipstick urinalysis produced a pooled positive likelihood ratio of 3.48 (95% confidence interval 1.66, 7.27) and a pooled negative likelihood ratio of 0.6 (95% confidence interval 0.45, 0.8) for predicting 300 mg/24-hour proteinuria at the 1+ or greater threshold.
CONCLUSION: The accuracy of dipstick urinalysis with a 1+ threshold in the prediction of significant proteinuria is poor and therefore of limited usefulness to the clinician. Accuracy may be improved at higher thresholds (greater than 1+ proteinuria), but available data are sparse and of poor methodological quality. Therefore, it is not possible to make meaningful inferences about accuracy at higher urine dipstick thresholds. There is an urgent need for research in this area of common obstetric practice.

Entities:  

Mesh:

Year:  2004        PMID: 15051572     DOI: 10.1097/01.AOG.0000118311.18958.63

Source DB:  PubMed          Journal:  Obstet Gynecol        ISSN: 0029-7844            Impact factor:   7.661


  14 in total

1.  Assessment of proteinuria in pregnancy.

Authors:  Lucy C Chappell; Andrew H Shennan
Journal:  BMJ       Date:  2008-04-10

2.  Chapter 1: Definition and classification of CKD.

Authors: 
Journal:  Kidney Int Suppl (2011)       Date:  2013-01

3.  Evaluation of rapid diagnostic methods of urinary protein estimation in patients of preeclampsia of advanced gestational age.

Authors:  Archana Kumari; Abha Singh; Ritu Singh
Journal:  J Obstet Gynaecol India       Date:  2013-04-16

4.  A practical approach to using spot urine protein/creatinine ratios for assessing proteinuria in pregnancy.

Authors:  Catherine A Marnoch; Lucia Larson; Sherry Weitzen; Maureen G Phipps; C James Sung; Raymond O Powrie
Journal:  Obstet Med       Date:  2008-09-01

5.  The impact of preeclampsia in pregnancy.

Authors:  Aferdita Manaj; Arben Rrugia; Nikita Manoku
Journal:  J Prenat Med       Date:  2011-01

6.  Urinalysis vs urine protein-creatinine ratio to predict significant proteinuria in pregnancy.

Authors:  B K Dwyer; M Gorman; I R Carroll; M Druzin
Journal:  J Perinatol       Date:  2008-02-21       Impact factor: 2.521

Review 7.  Current and emerging trends in point-of-care urinalysis tests.

Authors:  Rongwei Lei; Rannon Huo; Chandra Mohan
Journal:  Expert Rev Mol Diagn       Date:  2019-12-12       Impact factor: 5.225

8.  Clinical practice guideline on pregnancy and renal disease.

Authors:  Kate Wiles; Lucy Chappell; Katherine Clark; Louise Elman; Matt Hall; Liz Lightstone; Germin Mohamed; Durba Mukherjee; Catherine Nelson-Piercy; Philip Webster; Rebecca Whybrow; Kate Bramham
Journal:  BMC Nephrol       Date:  2019-10-31       Impact factor: 2.388

9.  Survey of predictive value of 4-hour urine collection for diagnosis of proteinuria in preeclampsia.

Authors:  Maryam Asgharnia; Roya Faraji; Nooshaz Mirhaghjoo; Zahra Atrkar Roshan; Babak Ashrafkhani; Mina Moslehi
Journal:  Iran J Reprod Med       Date:  2013-08

10.  Pre-eclampsia increases the risk of postpartum haemorrhage: a nationwide cohort study in the Netherlands.

Authors:  Joost F von Schmidt auf Altenstadt; Chantal W P M Hukkelhoven; Jos van Roosmalen; Kitty W M Bloemenkamp
Journal:  PLoS One       Date:  2013-12-18       Impact factor: 3.240

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