Author/Authors :
Safari, Saeed Department of Emergency Medicine - Shohadaye Tajrish Hospital - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Yousefifard, Mahmoud Department of Physiology - School of Medicine - Tehran University of Medical Sciences, Tehran, Iran , Hashemi, Behrooz Department of Emergency Medicine - Shohadaye Tajrish Hospital - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Baratloo, Alireza Department of Emergency Medicine - Shohadaye Tajrish Hospital - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Forouzanfar, Mohammad Mehdi Department of Emergency Medicine - Shohadaye Tajrish Hospital - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Rahmati, Farhad Department of Emergency Medicine - Shohadaye Tajrish Hospital - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Motamedi, Maryam Department of Emergency Medicine - Shohadaye Tajrish Hospital - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Najafi, Iraj Department of Nephrology - Dr Shariati Hospital - Tehran University of Medical Sciences, Tehran, Iran
Abstract :
Introduction. During the past decade, using serum biomarkers
and clinical decision rules for early prediction of rhabdomyolysisinduced
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 rhabdomyolysisinduced
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.
Keywords :
decision support techniques , prognosis , acute kidney injury , rhabdomyolysis