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Archives of Physiology and Biochemistry
The Journal of Metabolic Diseases
Volume 128, 2022 - Issue 6
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Original Articles

Association between maternal serum uric acid and preeclampsia

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Pages 1434-1437 | Received 11 Feb 2020, Accepted 20 May 2020, Published online: 10 Jun 2020
 

Abstract

Objective

The aim of this study is to compare the changes in serum uric acid levels among preeclamptic pregnant women and healthy pregnant women.

Methods

Two hundred and twenty-four (224) pregnant women were enrolled. Serum uric acid levels were analysed in the two groups at the time of referral and prior to the delivery.

Results

The mean uric acid in all pregnant women was 5.61 mg/dL. The mean uric acid in women with preeclampsia was 6.51 ± 1.53 and in normotensive women was 4.72 ± 1.58, which was seen significant. The mean age of the mother, gestational age and BMI were not significant with the levels of uric acid. The elevation in serum levels of uric acid increased the risk of preeclampsia by 1.98 folds.

Conclusion

There is a significant increase in the serum levels of uric acid in pregnant women with preeclampsia as compared to normotensive women. This can be one of a significant indicator of preeclampsia.

Disclosure statement

No potential conflict of interest was reported by the authors.

Data Availability statement

Data sharing not applicable to this article as no datasets were generated or analysed during the current study

Additional information

Funding

All the fees were provided by Research Centre Fund and deployed accordingly.

Notes on contributors

Amir Shakarami

Dr. Amir Shakarami: conceptualised and designed the study, drafted the initial manuscript and reviewed and revised the manuscript.

Masoumeh Ghafarzadeh

Dr. Masoumeh Ghafarzadeh and Dr. Leila Fathi: Designed the data collection instruments, collected data, carried out the initial analyses and reviewed and revised the manuscript.

Fatemeh Yari

Dr. Fatemeh Yari: Coordinated and supervised data collection, and critically reviewed the manuscript for important intellectual content.

Leila Fathi

Dr. Masoumeh Ghafarzadeh and Dr. Leila Fathi: Designed the data collection instruments, collected data, carried out the initial analyses and reviewed and revised the manuscript.

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