Literature DB >> 27225716

The Role of Scoring Systems and Urine Dipstick in Prediction of Rhabdomyolysis-induced Acute Kidney Injury: a Systematic Review.

Saeed Safari1, Mahmoud Yousefifard, Behrooz Hashemi, Alireza Baratloo, Mohammad Mehdi Forouzanfar, Farhad Rahmati, Maryam Motamedi, Iraj Najafi.   

Abstract

INTRODUCTION: During the past decade, using serum biomarkers and clinical decision rules for early prediction of rhabdomyolysis-induced acute kidney injury (AKI) has received much attention from researchers. This study aimed to broadly review the value of scoring systems and urine dipstick in prediction of rhabdomyolysis-induced AKI.
MATERIALS AND METHODS: The study was designed based on the guidelines of the Meta-analysis of Observational Studies in Epidemiology statement. Search was done in electronic databases of MEDLINE, EMBASE, Cochrane Library, Scopus, and Google Scholar by 2 independent reviewers. Studies evaluating AKI risk factors in rhabdomyolysis patients with the aim of developing a scoring model as well as those assessing the role of urine dipstick in these patients were included.
RESULTS: Of the 5997 articles found, 143 were potentially relevant studies. After studying their full texts, 6 articles were entered into the systematic review. Two studies had developed or validated scoring systems of the "rule of thumb," and the AKI index, and the Mangled Extremity Severity Score. Four studies were on the predictive value of urine dipstick in risk prediction of rhabdomyolysis-induced AKI, with favorable results.
CONCLUSIONS: The findings of this systematic review showed that based on the available resources, using the prediction rules and urine dipstick could be considered as valuable screening tools for detection of patients at risk for AKI following rhabdomyolysis. Yet, the external validity of the mentioned tools should be assessed before their general application in routine practice.

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Year:  2016        PMID: 27225716

Source DB:  PubMed          Journal:  Iran J Kidney Dis        ISSN: 1735-8582            Impact factor:   0.892


  6 in total

1.  Pediatric Emergency Care Applied Research Network (PECARN) prediction rules in identifying high risk children with mild traumatic brain injury.

Authors:  B Nakhjavan-Shahraki; M Yousefifard; M J Hajighanbari; A Oraii; S Safari; M Hosseini
Journal:  Eur J Trauma Emerg Surg       Date:  2017-06-22       Impact factor: 3.693

2.  Risk prediction models for acute kidney injury in adults: An overview of systematic reviews.

Authors:  Paulien Van Acker; Wim Van Biesen; Evi V Nagler; Muguet Koobasi; Nic Veys; Jill Vanmassenhove
Journal:  PLoS One       Date:  2021-04-01       Impact factor: 3.240

3.  Epidemiology and the Impact of Acute Kidney Injury on Outcomes in Patients with Rhabdomyolysis.

Authors:  Chien-Wen Yang; Si Li; Yishan Dong; Nitpriya Paliwal; Yichen Wang
Journal:  J Clin Med       Date:  2021-05-01       Impact factor: 4.241

4.  A case of rhabdomyolysis after kidney transplantation successfully managed with intensive continuous dialysis.

Authors:  Rauf Shahbazov; Michael Fox; Jennifer L Alejo; Malik A Anjum; Feredun Azari; Alden Doyle; Avinash Agarwal; Kenneth L Brayman
Journal:  J Surg Case Rep       Date:  2018-04-30

5.  Epidemiology and Outcome of Patients with Acute Kidney Injury in Emergency Department; a Cross-Sectional Study.

Authors:  Saeed Safari; Behrouz Hashemi; Mohammad Mehdi Forouzanfar; Mehrnoush Shahhoseini; Meysam Heidari
Journal:  Emerg (Tehran)       Date:  2018-05-05

6.  Performance of physiology scoring systems in prediction of in-hospital mortality of traumatic children: A prospective observational study.

Authors:  Babak Nakhjavan-Shahraki; Mahmoud Yousefifard; Gholamreza Faridaalaee; Kavous Shahsavari; Alireza Oraii; Mohammad Javad Hajighanbari; Parviz Karimi; Fatemeh Mahdizadeh; Samaneh Abiri; Mostafa Hosseini
Journal:  J Clin Orthop Trauma       Date:  2017-08-05
  6 in total

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