Skip to main content
Download PDF

Estimation of proteinuria as a predictor of complications of pre-eclampsia: a systematic review

BMC Medicine volume 7, Article number: 10 (2009) Cite this article

Abstract

Background

Proteinuria is one of the essential criteria for the clinical diagnosis of pre-eclampsia. Increasing levels of proteinuria is considered to be associated with adverse maternal and fetal outcomes. We aim to determine the accuracy with which the amount of proteinuria predicts maternal and fetal complications in women with pre-eclampsia by systematic quantitative review of test accuracy studies.

Methods

We conducted electronic searches in MEDLINE (1951 to 2007), EMBASE (1980 to 2007), the Cochrane Library (2007) and the MEDION database to identify relevant articles and hand-search of selected specialist journals and reference lists of articles. There were no language restrictions for any of these searches. Two reviewers independently selected those articles in which the accuracy of proteinuria estimate was evaluated to predict maternal and fetal complications of pre-eclampsia. Data were extracted on study characteristics, quality and accuracy to construct 2 × 2 tables with maternal and fetal complications as reference standards.

Results

Sixteen primary articles with a total of 6749 women met the selection criteria with levels of proteinuria estimated by urine dipstick, 24-hour urine proteinuria or urine protein:creatinine ratio as a predictor of complications of pre-eclampsia. All 10 studies predicting maternal outcomes showed that proteinuria is a poor predictor of maternal complications in women with pre-eclampsia. Seventeen studies used laboratory analysis and eight studies bedside analysis to assess the accuracy of proteinuria in predicting fetal and neonatal complications. Summary likelihood ratios of positive and negative tests for the threshold level of 5 g/24 h were 2.0 (95% CI 1.5, 2.7) and 0.53 (95% CI 0.27, 1) for stillbirths, 1.5 (95% CI 0.94, 2.4) and 0.73 (95% CI 0.39, 1.4) for neonatal deaths and 1.5 (95% 1, 2) and 0.78 (95% 0.64, 0.95) for Neonatal Intensive Care Unit admission.

Conclusion

Measure of proteinuria is a poor predictor of either maternal or fetal complications in women with pre-eclampsia.

Peer Review reports

Background

Pre-eclampsia is associated with increased maternal and fetal mortality and morbidity. Proteinuria is one of the essential criteria for the clinical definition of pre-eclampsia. It is part of the fundamental investigations performed by healthcare professionals in primary and secondary care to monitor disease severity and predict complications in women with pre-eclampsia. Urinalysis by visual reagent strip tests is widely performed in antenatal clinics and in the community by various health professionals. Total protein estimation in a 24-hour urine sample is also frequently used to assess the severity of pre-eclampsia in patients admitted to the hospital. More recently, spot urine protein:creatinine ratio has been used to provide an accurate quantification of 24-hour proteinuria [1]. Estimation of the accuracy of the predictive value of proteinuria by any of the above methods in predicting maternal and fetal complications will aid in clinical management by identifying the highest risk women who may need aggressive management, and the lower risk women in whom unnecessary interventions may be avoided.

Proteinuria occurs due to renal glomerular endotheliosis, a manifestation of widespread endothelial damage in pre-eclampsia [2, 3]. The association between proteinuria and adverse fetal outcomes was first highlighted by Page and Christianson [4]. Since then, increased excretion of protein in women with pre-eclampsia has been generally associated with adverse maternal and fetal outcomes [5–7]. However, the primary diagnostic studies that evaluate the association between increase in the levels of proteinuria and maternal and neonatal outcomes have not generally been conducted with sufficiently large sample size to provide precise accuracy estimates. Moreover, they vary widely in their definition of pre-eclampsia, maternal and fetal outcomes, the method used for measurement and optimal cut-off levels of proteinuria. There are no systematic reviews exploring the accuracy of proteinuria to predict complications of pre-eclampsia. We therefore conducted a comprehensive systematic review to obtain precise estimates of likelihood ratios of adverse maternal and fetal complications for various cut-off levels of proteinuria in women with pre-eclampsia.

Methods

Data Sources

The review was carried out with a prospective protocol using widely recommended methods [8–12]. We searched MEDLINE (1951 to 2007), EMBASE (1980 to 2007), Cochrane Library (2007) and MEDION (a database of diagnostic test reviews set up by Dutch and Belgian researchers) for relevant citations. A search term combination was constructed after exhaustive planning and piloting of possible search concepts capturing the relevant population, tests and outcomes. Our search terms are shown in Additional file 1. An initial search in Medline yielded 11,711 citations. The search strategy was adapted for searching in Embase to obtain a total of 19,500 citations. From this citation set, studies were selected for inclusion in the review in a two-stage process if they studied the accuracy of proteinuria in the prediction of maternal and fetal complications in women with pre-eclampsia. The reference lists of all known primary and review articles were examined to identify cited articles not captured by electronic searches. Language restrictions were not applied. A comprehensive database of relevant articles was constructed.

Study Selection

Studies which evaluated the accuracy of proteinuria in women with pre-eclampsia for the prediction of maternal or fetal complications were selected in a two-stage process. We included studies that pre-specified the patients to have pre-eclampsia, used bedside (urine dipstick) or laboratory methods (24-hour protein estimation, urine protein:creatinine ratio) to measure levels of proteinuria and assessed maternal or fetal clinical complications as outcome. First, the electronic searches were scrutinised and full manuscripts of all citations that were likely to meet the predefined selection criteria were obtained. Second, final inclusion or exclusion decisions were made by the reviewers (ST and FOM) after examination of these manuscripts. Studies which met the predefined and explicit criteria regarding population, tests, outcomes and study design (Additional file 2) were selected for inclusion in the review. When disagreements occurred, they were resolved by consensus (ST, KI and FOM). In cases of duplicate publication, the most recent and complete versions were selected. There were no language restrictions.

Information was extracted from each selected article on study characteristics, quality and accuracy results. Accuracy data were used to construct 2 × 2 tables of proteinuria result (test positive if proteinuria levels were above the threshold defined in the primary study, and test negative if these were below the threshold) and maternal and fetal outcomes.

Methodological quality assessment

All manuscripts meeting the selection criteria were assessed for their methodological quality. Quality was defined as the confidence that the study design, conduct and analysis minimised bias in the estimation of test accuracy. Based on existing checklists [13, 14], quality assessment involved scrutinizing study design and relevant features of the population, test and outcomes of the study. A study was considered to be of good quality if it used a prospective design, consecutive enrolment, full verification of the test result with reference standard, and had adequate test description. We excluded studies with case-control design as these are known to result in substantial bias [13].

Data synthesis

Likelihood ratios (LRs) for positive and negative test results were calculated for each study, separately for each test threshold. Summary LRs were then computed where appropriate for positive and negative test results for each individual test threshold and for each outcome of interest. This information is clinically more relevant than traditional summaries of accuracy such as sensitivity and specificity, as LRs allow the estimation of post-test probabilities of various complications for women at different risk levels [15]. The LR indicates by how much a given test result raises or lowers the probability of having the disease. The higher the LR of an abnormal test, the greater is the value of the test. Conversely, the lower the LR of a normal test, the greater is the value of the test. An LR of >10 or <0.1 is regarded as 'very useful' test accuracy, whilst an LR of 5 to 10 or 0.1 to 0.2 is regarded as 'moderately useful', and an LR of 2 to 5 or 0.2 to 0.5 is regarded as 'somewhat useful'. An LR of 1 to 2 or 0.5 to 1 is only regarded as 'little useful' and an LR of 1 as 'useless'. Although, this categorization is useful for interpretation of LRs, it should be noted that the value of a test may vary depending on the pre-test probability of the condition, and the consequences of treatment.

Heterogeneity of diagnostic odds ratio (dOR) was assessed graphically using forest plot [16] (not shown) and statistically using chi-squared test [17] to aid in decisions on how to proceed with quantitative synthesis [18]. As, for some tests and outcomes, there was either graphical or statistically significant heterogeneity, we used random effects model meta-analysis [17]. Where a quantitative approach was not appropriate due to significant clinical heterogeneity, we refrained from pooling and the results are described narratively and the LR of maternal and fetal complication estimated in each study is reported. All statistical analyses were performed using Meta Disc statistical package.

Results

Literature identification and study quality

Figure 1 summarizes the process of literature identification and selection. There were 16 primary articles that met the selection criteria including a total of 6749 women (Figure 1) [1, 19–34]. Eight articles reported estimation of proteinuria by laboratory method only [20, 21, 23, 26, 28, 29, 33, 34], five by bedside dipstick urinalysis only [22, 24, 25, 30, 32], two by either of the above methods [27, 31] and one by spot urine protein:creatinine ratio [1]. The salient features (population subgroups, test characteristics and reference standards) of each individual study can be obtained from the authors. The definition of pre-eclampsia differed widely between the studies. The test threshold in individual studies for laboratory estimation varied from 0.3 g/24 h to 10 g/24 h, or was reported as an increase in proteinuria by 2 g/24 h between two measurements. The cut-off levels for bedside urinalysis using visual reagents ranged from 1+ to 4+ of proteinuria. One study evaluated the accuracy of spot urine protein: creatinine ratio for threshold levels of 500 mg/mmol and 900 mg/mmol in the prediction of maternal and fetal complications [1]. The methodological quality of the included studies is given in Figure 2.

Figure 1
figure1

Study selection process for systematic review of proteinuria to predict maternal and fetal complications.

Full size image
Figure 2
figure2

Quality of the included primary studies in the systematic review of accuracy of proteinuria in predicting complications in women with pre-eclampsia.

Full size image

Proteinuria to predict maternal outcomes

Three test accuracy studies evaluated the accuracy of proteinuria in predicting eclampsia for cut off levels of 5 g/24 h, 10 g/24 h and an increase by 2 g in 24 hours [23, 26]. The LR of positive test ranged from 1.7 (95% CI 0.94, 3.1) to 2.7 (95% CI 1.1, 6.2) respectively. The negative LR ranged from 0.41 (95% CI 0.04, 4.5) to 0.62 (95% CI 0.28, 1.4) (Figure 3).

Figure 3
figure3

Likelihood ratios for maternal outcomes in women with pre-eclampsia for various threshold levels of proteinuria.

Full size image

Two studies estimated the accuracy of proteinuria in predicting placental abruption using a cut-off of increase in level more than 2 g/24 h [23, 29]. The pooled positive and negative LRs for the above cut-off were 0.88 (95% CI 0.42, 1.86) and 1.1 (95% CI 0.75, 1.6) respectively (Figure 3).

HELLP syndrome prediction was evaluated in four test accuracy studies [23, 26, 29]. The pooled estimate of LRs for positive and negative test for a cut-off of increase in levels more than 2 g in 24 hours were 0.86 (95% CI 0.38, 2) and 1.1 (95% CI 0.74, 1.6) respectively (Figure 3).

Proteinuria to predict fetal outcomes

Fetal, neonatal and perinatal mortality

Thirteen studies reported prediction of fetal, neonatal and perinatal mortality using both laboratory and bedside testing for proteinuria [1, 20, 21, 23, 26, 28–30, 34]. The pooled LRs for positive and negative test for a cut-off of 5 g/24 h as reported in three studies [20, 21, 23] were 2 (95% CI 1.5, 2.7) and 0.53 (95% CI 0.27, 1) respectively (Figure 4). The largest study, involving 3260 patients, that estimated the prediction of stillbirths in pre-eclampsia was conducted by Taylor et al using urine dipstick method [35].

Figure 4
figure4

Likelihood ratios for fetal outcomes in women with pre-eclampsia for various threshold levels of proteinuria.

Full size image

Neonatal deaths were evaluated in five studies for cut-off levels of 5 g/24 h (n = 3) [20, 21, 26], 10 g/24 h (n = 1) [26] and increase by 2 g in 24 h (n = 1) [23]. The pooled estimates of LR+ and LR- for proteinuria threshold of 5 g/24 h were 1.5 (95% CI 0.94, 2.4) and 0.73 (95% 0.39, 1.4) respectively.

The threshold levels of proteinuria to predict perinatal deaths were 1 g/l, 2 g/l and 500 mg/mmol. The positive LR was 5.3 (95% CI 1.3, 22.1) and the negative LR was 0.55 (95% CI 0.14, 2.2) for cut-off levels of 500 mg/mmol [1].

Small for gestational age

Four studies assessed the accuracy of bedside urinalysis for cut-offs of 1+, 2+ and 3+ of proteinuria in urine dipstick [22, 24, 27]. The pooled positive and negative LRs for 3+ of proteinuria were 1.6 (95% CI 1.1, 2.3) and 0.75 (95% CI 0.59, 0.96) respectively. The likelihood ratio of laboratory estimates of proteinuria levels of 0.3 g/24 h and 0.5 g/24 h were 0.96 (95% CI 0.75, 1.2) and 1.7 (95% CI 1.1, 2.7) for positive test and 1.09 (95% 0.63, 1.9) and 0.73 (95% CI 0.52, 1) for negative test respectively, using the benzethonium chloride assay (BCA) [33]. For tests performed on the same patients using the Bradford assay Waugh et al report positive likelihood ratios of 1.71 (95% CI 1.0, 2.9) and 2.79 (95% CI 1.4, 5.5) for cut-off levels of 0.3 g/24 h and 0.5 g/24 h respectively [33].

Neonatal Intensive Care Unit (NICU) admission

NICU admission was assessed as an outcome in five studies [20, 23, 24, 26]. The pooled positive and negative LRs for cut-off level of 5 g/24 h were 1.5 (95% CI 1, 2) and 0.78 (955 CI 0.64, 0.95) and for levels of 10 g/24 h, the LRs were 5.6 (95% CI 1.8, 17.4) and 0.77 (95% CI 0.69, 0.87) respectively.

Discussion

Proteinuria has usually been associated with increase in maternal and fetal mortality and morbidity [7]. Our review has shown that the magnitude of proteinuria in women with pre-eclampsia is a poor predictor of the major maternal and fetal complications.

For prediction of adverse fetal outcomes, the only statistically significant results were observed for positive test result with LR+ ranging from 1.3 to 2.3 for cut-off levels of 5 g/24 h, 1+ and 3+ proteinuria in the prediction of stillbirths [20, 21, 23, 30]. Furthermore, we need to take into account that three of these five test accuracy studies were conducted more than 30 years ago [21, 30]. The test was found to be a poor predictor of neonatal and perinatal deaths with no significant LRs for positive or negative test. The test performed poorly as evidenced by the increase in adverse events noticed in the test negative group compared with the test positive group, as noticed in some studies [23, 28, 33]. The overall low value of abnormal test and high value of normal test implies that the test is of 'very little' clinical value.

The validity of our review findings depends on the methodology of the systematic review and the quality of the individual studies included [13]. An extensive literature search was performed in relevant databases without any language restrictions to minimize the possibility of missing any studies. Methodological deficiencies such as verification bias, differential use of reference standards and case-control design did not apply to the studies in the review, ensuring inclusion of studies of acceptable quality.

The methodological problems facing reviews of this nature are daunting. A significant limitation of this review is the heterogeneity noticed between individual studies with regards to population, definition of pre-eclampsia, method of performing the test, test thresholds, frequency of testing, interval between the test and outcome, and reference standards. The lack of information regarding the temporal relation between test findings and outcomes observed and possibility of confounding by other risk factors contributing to maternal and fetal complications may influence the observed predictive value of proteinuria for maternal and fetal complications. The wide confidence intervals observed for the various outcomes are a reflection of the statistical uncertainty around the results due to the small sample size in many studies. Meta-analysis of studies using individual patient data may conquer many of the difficulties identified.

Conclusion

This systematic review has shown that estimation of levels of proteinuria in women with is not a clinically useful test to predict fetal or maternal complications. The results of this review calls into question the commonly used practice of making clinical decisions in women with pre-eclampsia based on the severity of proteinuria. It has highlighted the need for large, well-designed prospective studies on this important question with the hope to expand future research.

References

  1. 1.

    Chan P, Brown M, Simpson J, Davis G: Proteinuria in pre-eclampsia: how much matters?. BJOG. 2005, 112: 280-285. 10.1111/j.1471-0528.2004.00395.x.

    Article  PubMed  Google Scholar 

  2. 2.

    Pollak VE, Nettles JB: The kidney in toxemia of pregnancy: a clinical and pathologic study based on renal biopsies. Medicine (Baltimore). 1960, 39: 469-526.

    CAS  Article  Google Scholar 

  3. 3.

    Spargo B, McCartney CP, Winemiller R: Glomerular capillary endotheliosis in toxemia of pregnancy. Arch Pathol. 1959, 68: 593-599.

    CAS  PubMed  Google Scholar 

  4. 4.

    Page EW, Christianson R: The impact of mean arterial pressure in the middle trimester on the impact of pregnancy. Am J Obstet Gynecol. 1976, 125: 740-746.

    CAS  Article  PubMed  Google Scholar 

  5. 5.

    American College of Obstetrics and Gynecology: Diagnosis and management of preeclampsia and eclampsia. Practice bulletin No.: 33. 2002, Washington (DC), American College of Obstetrics and Gynecology

    Google Scholar 

  6. 6.

    Cunningham FG: Hypertensive disorders of pregnancy. Williams' Obstetrics. 2001, New York: McGraw-Hill, 567-618.

    Google Scholar 

  7. 7.

    Ferazzani S, Caruso A, De Carolis S, Martino IV, Mancoso S: Proteinuria and outcome of 444 pregnancies complicated by hypertension. Am Journal Obstet Gynecol. 1990, 162: 366-371.

    Article  Google Scholar 

  8. 8.

    Irwig LM, Tosteton AN, Gatsonis CA, Lao J, Colditz G, Chalmers TC, Mosteller Fl: Guidelines for meta-analyses evaluating diagnostic tests. Ann Intern Med. 1994, 120: 667-676.

    CAS  Article  PubMed  Google Scholar 

  9. 9.

    Cochrane Methods Working Group: Systematic Reviews of Screening and Diagnostic Tests: Recommended Methods. 1996

    Google Scholar 

  10. 10.

    Deeks JJ: Systematic reviews in health care: Systematic reviews of evaluations of diagnostic and screening tests. BMJ. 2001, 323: 157-162. 10.1136/bmj.323.7305.157.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  11. 11.

    Khan KS, Dinnes J, Kleijnen J: Systematic reviews to evaluate diagnostic tests. J Obstet Gynecol Reprod Biol. 2001, 95: 6-11. 10.1016/S0301-2115(00)00463-2.

    CAS  Article  Google Scholar 

  12. 12.

    Thangaratinam S, Coomarasamy A, Sharp S, O'Mahony F, O'Brien S, Ismail KMK, Khan KS: Tests for predicting complications of pre-eclampsia: A protocol for systematic reviews. BMC Pregnancy Childbirth. 2008, 8: 38-10.1186/1471-2393-8-38.

    Article  PubMed  PubMed Central  Google Scholar 

  13. 13.

    Lijmer JG, Mol BW, Heisterkamp S, Bonsel GJ, Prins MH, Meulen van der JHP, Bossuyt PM: Empirical evidence of design-related bias in studies of diagnostic tests. JAMA. 1999, 282: 1061-1066. 10.1001/jama.282.11.1061.

    CAS  Article  PubMed  Google Scholar 

  14. 14.

    Rennie D: Improving reports of diagnostic tests: the STARD initiave. JAMA. 2003, 289: 89-90. 10.1001/jama.289.1.89.

    PubMed  Google Scholar 

  15. 15.

    Jaeschke R, Guyatt GH, Sackett DL: Users' guide to the medical literature. III. How to use an article about a diagnostic test. B. What are the results and will they help me in caring for my patients?. JAMA. 1994, 271: 703-707. 10.1001/jama.271.9.703.

    CAS  Article  PubMed  Google Scholar 

  16. 16.

    DerSimonian R, Laird N: Meta-analysis in clinical trials. Control Clin Trials. 1986, 7: 177-188. 10.1016/0197-2456(86)90046-2.

    CAS  Article  PubMed  Google Scholar 

  17. 17.

    Sutton AJ, Abrams KR, Jones DR, Sheldon TJ, Song F: Systematic reviews of trials and other studies. Health Technol Assess. 1998, 2: 1-276.

    CAS  PubMed  Google Scholar 

  18. 18.

    Greenland S: Quantitative methods in the review of epidemiologic literature. Epidemiol Rev. 1987, 9: 1-30.

    CAS  PubMed  Google Scholar 

  19. 19.

    Brown MA, Buddle ML: Hypertension in pregnancy: Maternal and fetal outcomes according to laboratory and clinical features. Med J Aust. 1996, 165: 360-365.

    CAS  PubMed  Google Scholar 

  20. 20.

    Buchbinder A, Sibai BM, Caritis S, MacPherson C, Hauth J, Lindheimer MD, Klebanoff M, Vandorsten P, Landon M, Paul R, Miodovnik M, Meis P, Thurnau G, National Institute of Child Health and Human Development Network of Maternal-Fetal Medicine Units: Adverse perinatal outcomes are significantly higher in severe gestational hypertension than in mild preeclampsia. Am J Obstet Gynecol. 2002, 186: 66-71. 10.1067/mob.2002.120080.

    Article  PubMed  Google Scholar 

  21. 21.

    Fliegner J-RH: Placental function and renal tract studies in pre eclampsia with proteinuria and long term maternal consequences. Am J Obstet Gynecol. 1976, 126: 211-217.

    CAS  Article  PubMed  Google Scholar 

  22. 22.

    Furukawa S, Sameshima H, Ikenoue T: Intrapartum late deceleration develops more frequently in pre-eclamptic women with severe proteinuria. J Obstet Gynaecol Res. 2006, 32: 68-73. 10.1111/j.1447-0756.2006.00353.x.

    CAS  Article  PubMed  Google Scholar 

  23. 23.

    Hall DR, Odendaal HJ, Steyn DW, Grove D: Urinary protein excretion and expectant management of early onset, severe pre-eclampsia. Int J Gyn Obstet. 2002, 77: 1-6. 10.1016/S0020-7292(02)00008-5.

    CAS  Article  Google Scholar 

  24. 24.

    Lao TT, Chin R-KH, Lam YM: The significance of proteinuria in pre-eclampsia; proteinuria associated with low birth weight only in pre-eclampsia. Eur J Obstet Gynecol Reprod Biol. 1988, 29: 121-127. 10.1016/0028-2243(88)90138-4.

    CAS  Article  PubMed  Google Scholar 

  25. 25.

    Martin JN, May WL, Magann EF, Terrone DA, Rinehart BK, Blake P-G: Early risk assessment of severe preeclampsia: Admission battery of symptoms and laboratory tests to predict likelihood of subsequent significant maternal morbidity. Am J Obstet Gynecol. 1999, 180: 1407-1414. 10.1016/S0002-9378(99)70026-8.

    Article  PubMed  Google Scholar 

  26. 26.

    Newman MG, Robichaux AG, Stedman CM, Jaekle RK, Todd FM, Dotson T, Lewis TF: Perinatal outcomes in preeclampsia that is complicated by massive proteinuria. Am J Obstet Gynecol. 2003, 188: 264-268. 10.1067/mob.2003.84.

    Article  PubMed  Google Scholar 

  27. 27.

    Odegaard RA, Vatten LJ, Nilsen ST, Salvesen KA, Austgulen R: Preeclampsia and fetal growth. Obstet Gynecol. 2000, 96: 950-955. 10.1016/S0029-7844(00)01040-1.

    Google Scholar 

  28. 28.

    Paladini A, Frollo G, Nappi G: (Clinical-statistical study on the hypertension-edema-nephrosis syndrome. II. Sequelae for the fetus, particular attention to perinatal mortality). Arch Ostet Ginecol. 1970, 75: 297-306.

    CAS  PubMed  Google Scholar 

  29. 29.

    Schiff E, Friedman SA, Kao L, Sibai BM: The importance of urinary protein excretion during conservative management of severe preeclampsia. Am J Obstet Gynecol. 1996, 175: 1313-1316. 10.1016/S0002-9378(96)70047-9.

    CAS  Article  PubMed  Google Scholar 

  30. 30.

    Taylor HC, Tillman AJ, Blanchard J: Fetal losses in hypertension and preeclampsia. I. An analysis of 4432 cases. Obstet Gynecol. 1954, 3: 225-239.

    PubMed  Google Scholar 

  31. 31.

    Thurnau GR, Dyer A, Depp-III OR, Martin AO: The development of a profile scoring system for early identification and severity assessment of pregnancy-induced hypertension. Am J Obstet Gynecol. 1983, 146: 406-416.

    CAS  Article  PubMed  Google Scholar 

  32. 32.

    von Dadelszen P, Magee LA, Devarakonda RM, Hamilton T, Ainsworth LM, Yin R, Norena M, Walley KR, Gruslin A, Moutquin JM, Lee SK, Russell JA: The prediction of adverse maternal outcomes in preeclampsia. J Obstet Gynaecol Can. 2004, 26: 871-880.

    Article  PubMed  Google Scholar 

  33. 33.

    Waugh J, Bell SC, Kilby MD, Lambert P, Shennan A, Halligan A: Urine protein estimation in hypertensive pregnancy: which thresholds and laboratory assay best predict clinical outcome?. Hypertens Pregnancy. 2005, 24: 291-302. 10.1080/10641950500281019.

    CAS  Article  PubMed  Google Scholar 

  34. 34.

    Weenink GH, Treffers PE, Vijn P: Plasma antithrombin III levels in pre-eclampsia. Clinical and Experimental Hypertension – Part B. Hypertens Pregnancy. 1983, 2: 145-162. 10.3109/10641958309023467.

    CAS  Google Scholar 

  35. 35.

    Taylor HC, Tillman AJ, Blanchard J: Fetal losses in hypertension and in pre-eclampsia. II. Prognosis for the fetus according to the week of gestation. Obstet Gynecol. 1954, 3: 371-384.

    PubMed  Google Scholar 

Pre-publication history

  1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1741-7015/7/10/prepub

Download references

Acknowledgements

The members of the TIPPS (Tests In Prediction of Pre-eclampsia's Severity) review group are: Shakila Thangaratinam (Clinical Lecturer/Specialist Registrar), Arri Coomarasamy (Senior Lecturer/Consultant in Gynaecology) and Khalid S Khan (Professor in Obstetrics and Gynaecology) affiliated to Academic Unit, Birmingham Women's Hospital, Birmingham, B15 2TG, UK. Khaled MK Ismail (Senior Lecturer/Consultant), Fidelma O'Mahony (Senior Lecturer/Consultant) and Shaughn O'Brien (Professor in Obstetrics and Gynaecology) affiliated to Academic Unit of Obstetrics and Gynaecology, Keele University School of Medicine, University Hospital of North Staffordshire, Stoke-on-Trent, ST4 6QG, UK. Steve Sharp (Electronic Information Librarian) affiliated to NeLH Specialist Library for ENT and Audiology, Radcliffe Infirmary, Oxford, OX2 6HE, UK. Funding was provided by University Hospital North Staffordshire Research and Development Department, Stoke-on-Trent, UK. (Ref No. R 5177680).

Author information

Affiliations

  1. Academic Unit of Obstetrics and Gynaecology, Birmingham Women's Hospital, Birmingham, B15 2TG, UK

    Shakila Thangaratinam, Arri Coomarasamy & Khalid S Khan

  2. Academic Unit of Obstetrics and Gynaecology, Keele University School of Medicine, University Hospital of North Staffordshire, Stoke-on-Trent, UK

    Fidelma O'Mahony & Khaled MK Ismail

  3. NLH Specialist Library for ENT and Audiology, John Radcliffe Hospital, Oxford, UK

    Steve Sharp

  4. Clinical Biostatistics Unit, Department of Biomathematics, Hospital Ramón y Cajal, University Complutense of Madrid, Madrid, Spain

    Javier Zamora

Authors
  1. Shakila Thangaratinam
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Arri Coomarasamy
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Fidelma O'Mahony
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Steve Sharp
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Javier Zamora
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Khalid S Khan
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Khaled MK Ismail
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shakila Thangaratinam.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

KSK conceived the idea of the review and developed the protocol with KMKI, FOM, AC and ST. SS searched the electronic databases to identify the studies. JZ and ST conducted statistical analysis. All authors contributed to the writing of manuscript.

Electronic supplementary material

Authors’ original submitted files for images

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Thangaratinam, S., Coomarasamy, A., O'Mahony, F. et al. Estimation of proteinuria as a predictor of complications of pre-eclampsia: a systematic review. BMC Med 7, 10 (2009). https://doi.org/10.1186/1741-7015-7-10

Download citation

Keywords

  • Proteinuria
  • Fetal Outcome
  • Creatinine Ratio
  • HELLP Syndrome
  • Placental Abruption

BMC Medicine

ISSN: 1741-7015

Contact us

\