BACKGROUND: Pre-eclampsia is a leading cause of maternal and perinatal mortality and morbidity. Early prediction of pre-eclampsia may be used to target high-risk women for effective preventative treatments. Hyperuricemia is associated with pre-eclampsia and it has been tested in early pregnancy for its ability to predict the later onset of the disease. OBJECTIVE: To systematically review the accuracy of determining serum uric acid before the 25th gestational week in predicting pre-eclampsia. METHODS: We searched Medline, Embase, Cochrane Library, Medion, bibliographies of review articles and eligible primary studies, and contacted experts in the field. Language restrictions were not applied. Reviewers working independently selected studies, extracted data and assessed validity according to eight criteria. Sensitivities and specificities were plotted in a Receiver Operating Characteristic plot. RESULTS: We identified five primary articles, with a total of 572 women, including 44 who developed pre-eclampsia. Study populations differed clinically, with incidences ranging from 3.4% to 40.1%. Sensitivity ranged from 0.0% to 55.6% and specificity ranged from 76.9% to 94.9%. Clinical heterogeneity and poor reporting precluded sensible pooling of data. In particular, consecutive entry of eligible women, blind assessment of the reference standard, and treatment to prevent pre-eclampsia were poorly reported. CONCLUSION: Contrary to previous reviews, we conclude that there is currently insufficient evidence to draw firm conclusions about the accuracy of serum uric acid determination in predicting pre-eclampsia.
BACKGROUND: Pre-eclampsia is a leading cause of maternal and perinatal mortality and morbidity. Early prediction of pre-eclampsia may be used to target high-risk women for effective preventative treatments. Hyperuricemia is associated with pre-eclampsia and it has been tested in early pregnancy for its ability to predict the later onset of the disease. OBJECTIVE: To systematically review the accuracy of determining serum uric acid before the 25th gestational week in predicting pre-eclampsia. METHODS: We searched Medline, Embase, Cochrane Library, Medion, bibliographies of review articles and eligible primary studies, and contacted experts in the field. Language restrictions were not applied. Reviewers working independently selected studies, extracted data and assessed validity according to eight criteria. Sensitivities and specificities were plotted in a Receiver Operating Characteristic plot. RESULTS: We identified five primary articles, with a total of 572 women, including 44 who developed pre-eclampsia. Study populations differed clinically, with incidences ranging from 3.4% to 40.1%. Sensitivity ranged from 0.0% to 55.6% and specificity ranged from 76.9% to 94.9%. Clinical heterogeneity and poor reporting precluded sensible pooling of data. In particular, consecutive entry of eligible women, blind assessment of the reference standard, and treatment to prevent pre-eclampsia were poorly reported. CONCLUSION: Contrary to previous reviews, we conclude that there is currently insufficient evidence to draw firm conclusions about the accuracy of serum uric acid determination in predicting pre-eclampsia.
Authors: Richard J Johnson; Mehmet Kanbay; Duk-Hee Kang; Laura Gabriela Sánchez-Lozada; Daniel Feig Journal: Hypertension Date: 2011-08-29 Impact factor: 10.190
Authors: John Allotey; Kym Ie Snell; Melanie Smuk; Richard Hooper; Claire L Chan; Asif Ahmed; Lucy C Chappell; Peter von Dadelszen; Julie Dodds; Marcus Green; Louise Kenny; Asma Khalil; Khalid S Khan; Ben W Mol; Jenny Myers; Lucilla Poston; Basky Thilaganathan; Anne C Staff; Gordon Cs Smith; Wessel Ganzevoort; Hannele Laivuori; Anthony O Odibo; Javier A Ramírez; John Kingdom; George Daskalakis; Diane Farrar; Ahmet A Baschat; Paul T Seed; Federico Prefumo; Fabricio da Silva Costa; Henk Groen; Francois Audibert; Jacques Masse; Ragnhild B Skråstad; Kjell Å Salvesen; Camilla Haavaldsen; Chie Nagata; Alice R Rumbold; Seppo Heinonen; Lisa M Askie; Luc Jm Smits; Christina A Vinter; Per M Magnus; Kajantie Eero; Pia M Villa; Anne K Jenum; Louise B Andersen; Jane E Norman; Akihide Ohkuchi; Anne Eskild; Sohinee Bhattacharya; Fionnuala M McAuliffe; Alberto Galindo; Ignacio Herraiz; Lionel Carbillon; Kerstin Klipstein-Grobusch; SeonAe Yeo; Helena J Teede; Joyce L Browne; Karel Gm Moons; Richard D Riley; Shakila Thangaratinam Journal: Health Technol Assess Date: 2020-12 Impact factor: 4.014
Authors: Xue Li; Xiangrui Meng; Maria Timofeeva; Ioanna Tzoulaki; Konstantinos K Tsilidis; John PA Ioannidis; Harry Campbell; Evropi Theodoratou Journal: BMJ Date: 2017-06-07