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Published in: BMC Nephrology 1/2024

Open Access 01-12-2024 | Acute Kidney Injury | Research

Uric acid in predicting the traumatic rhabdomyolysis induced acute kidney injury; a systematic review and meta-analysis

Authors: Saeed Safari, Mohammadreza Ghasemi, Mahmoud Yousefifard, Alireza Ghasemi, Iraj Najafi

Published in: BMC Nephrology | Issue 1/2024

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Abstract

Objective

The objective of this systematic review and meta-analysis was to assess the value of uric acid in predicting acute kidney injury caused by traumatic rhabdomyolysis.

Methods

The search was conducted in MEDLINE, Scopus, Embase and Web of Science until November 1, 2023. Based on the inclusion and exclusion criteria, the articles were included by two independent researchers. Data regarding study design, patient characteristics, number of patients with and without AKI, mean and SD of uric acid and prognostic characteristics of uric acid were extracted from relevant studies. STATA version 17.0 was used to compute pooled measures of standardized mean differences, odds ratios, and diagnostic accuracy. I2 and chi-square tests were used to assess heterogeneity between studies.

Results

We found 689 non-redundant studies, 44 of them were potentially relevant. Six articles met the inclusion criteria and were included in the review. The results of the meta-analysis confirmed that there was a significant correlation between serum uric acid levels and the occurrence of AKI (SMD = 1.61, 95% CI = 0.69 to 2.54, I2 = 96.94%; p value = 0.001). There were no significant publication biases.

Conclusion

According to this meta-analysis, uric acid levels could be considered as a predictor of acute kidney injury following traumatic rhabdomyolysis.
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Metadata
Title
Uric acid in predicting the traumatic rhabdomyolysis induced acute kidney injury; a systematic review and meta-analysis
Authors
Saeed Safari
Mohammadreza Ghasemi
Mahmoud Yousefifard
Alireza Ghasemi
Iraj Najafi
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Nephrology / Issue 1/2024
Electronic ISSN: 1471-2369
DOI
https://doi.org/10.1186/s12882-024-03509-x

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