Literature DB >> 18949734

Early detection of patients at high risk for acute kidney injury during disasters: development of a scoring system based on the Bam earthquake experience.

Iraj Najafi1, Wim Van Biesen, Ali Sharifi, Mostafa Hoseini, Farin Rashid Farokhi, Houshang Sanadgol, Raymond Vanholder.   

Abstract

BACKGROUND: Early prophylactic hydration therapy in patients prone to acute kidney injury (AKI) can reduce its incidence in disasters. As sufficient availability of fluids might be problematic, it is important to discriminate those at risk versus not at risk for AKI. The present study uses biochemical findings from victims of the Bam earthquake to design decision rules for early detection of patients at risk for AKI.
METHODS: Data were collected in hospitals admitting Bam earthquake victims. Biochemical factors on day 1 (creatinine, CPK, LDH, SGOT, uric acid, calcium, phosphorus, sodium, potassium, white blood cell count, platelet count) were introduced into multivariate models for prediction of AKI (serum creatinine >1.6 mg/dL) at a later stage.
RESULTS: A rule of thumb to assess the absence of risk for AKI was developed, using ROC analysis: if on day 1, serum creatinine was <2 mg/dL, LDH was <2,000 IU and serum uric acid was <6 mg%, the risk for development of AKI was virtually nil. Using multiple regression analysis (0.45 CPK + 2.5 LDH + 2,700 K + 2,000 uric acid - 14,000)/10,000, was most predictive for serum creatinine on day 3. Dichotomizing this value at 2.0 yielded a sensitivity and specificity for prediction of AKI of 96.6% and 95.7%, respectively.
CONCLUSIONS: We propose 2 decision rules to predict development of AKI in earthquake victims. These scores can easily be calculated already at an early stage of a disaster, enabling rationalization of prophylactic hydration therapy in crushed earthquake victims.

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Year:  2008        PMID: 18949734

Source DB:  PubMed          Journal:  J Nephrol        ISSN: 1121-8428            Impact factor:   3.902


  6 in total

Review 1.  The value of serum creatine kinase in predicting the risk of rhabdomyolysis-induced acute kidney injury: a systematic review and meta-analysis.

Authors:  Saeed Safari; Mahmoud Yousefifard; Behrooz Hashemi; Alireza Baratloo; Mohammad Mehdi Forouzanfar; Farhad Rahmati; Maryam Motamedi; Iraj Najafi
Journal:  Clin Exp Nephrol       Date:  2016-01-23       Impact factor: 2.801

2.  Predicting the risk of acute kidney injury in earthquake victims.

Authors:  Jun Ito; Masafumi Fukagawa
Journal:  Nat Clin Pract Nephrol       Date:  2008-12-09

3.  Early Detection of Rhabdomyolysis-Induced Acute Kidney Injury through Machine Learning Approaches.

Authors:  Pooria Poorsarvi Tehrani; Hamed Malek
Journal:  Arch Acad Emerg Med       Date:  2021-03-25

4.  Impact of High-Cut-Off Dialysis on Renal Recovery in Dialysis-Dependent Multiple Myeloma Patients: Results from a Case-Control Study.

Authors:  Hans U Gerth; Michele Pohlen; Dennis Görlich; Gerold Thölking; Martin Kropff; Wolfgang E Berdel; Hermann Pavenstädt; Marcus Brand; Philipp Kümpers
Journal:  PLoS One       Date:  2016-05-06       Impact factor: 3.240

Review 5.  A Systematic Review of Iranian Experiences in Seismo-Nephrology.

Authors:  Behrooz Hashemi; Saeed Safari; Mostafa Hosseini; Mahmoud Yousefifard; Elham Erfani; Alireza Baratloo; Farhad Rahmati; Maryam Motamedi; Mohammad Mehdi Forouzanfar; Iraj Najafi
Journal:  Arch Trauma Res       Date:  2016-03-27

6.  20-Day Trend of Serum Potassium Changes in Bam Earthquake Victims with Crush Syndrome; a Cross-sectional Study.

Authors:  Saeed Safari; Iraj Najafi; Mostafa Hosseini; Alireza Baratloo; Mahmoud Yousefifard; Hamidreza Mohammadi
Journal:  Emerg (Tehran)       Date:  2017-01-08
  6 in total

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