Literature DB >> 23590046

Clinical accuracy of RIFLE and Acute Kidney Injury Network (AKIN) criteria for predicting hospital mortality in critically ill patients with multi-organ dysfunction syndrome.

Ranistha Ratanarat1, Peenida Skulratanasak, Nattakarn Tangkawattanakul, Chattree Hantaweepant.   

Abstract

BACKGROUND: The Acute Dialysis Quality Initiative (ADQI) group developed RIFLE criteria and the Acute Kidney Injury Network published AKIN classification that modified form RIFLE criteria.
OBJECTIVE: The authors aimed to compare the ability of RIFLE and AKIN criteria to measure the incidence of acute kidney injury (AKI) and to predict clinical outcomes in critically illpatients. MATERIAL AND
METHOD: A retrospective cohort study, in Siriraj Hospital, Bangkok. The critically ill patients admitted to medical intensive care unit (ICU) during January 2006-December 2008 were classified according to the maximum RIFLE and AKIN classification reached during their hospital stay Demographic data, hospital mortality, hospital length of stay, need of renal replacement therapy was collected.
RESULTS: Three hundred patients were included in this study, AKI occurred in 200 (66.7%) patients: Risk 12.7%, Injury 20.7%, Failure 33.3% defined by RIFLE criteria. According to AKIN criteria, AKI occurred 230 (76.7%) patients: stage 1 16%, stage 2 13.3% and stage 3 47.3%. AKIN classification was diagnosed AKI, approximately 10% more than RIFLE (p < 0.001). The hospital mortality was 51.7% and the mortality in patients with AKI was significantly higher than patients without AKI (p < 0.001). The predictive ability using the AUC-ROC showed poor discrimination for the prediction of mortality of both RIFLE and AKIN: 0.63 and 0.69, respectively. However, AKIN showed superior prediction of mortality than RIFLE (p = 0.003). The APACHE II had the best discriminative accuracy for mortality (AUC = 0.80), followed by the SAPS3 scores (AUC = 0.77) and SAPS2 (AUC = 0.76).
CONCLUSION: AKIN criteria improved sensitivity for detection of AKI and its discrimination for prediction of in-hospital mortality was better than that of RIFLE criteria. However, APACHE II had the best discriminative value for prediction of mortality in the critically ill patients.

Entities:  

Mesh:

Year:  2013        PMID: 23590046

Source DB:  PubMed          Journal:  J Med Assoc Thai        ISSN: 0125-2208


  9 in total

1.  Exendin-4-assisted adipose derived mesenchymal stem cell therapy protects renal function against co-existing acute kidney ischemia-reperfusion injury and severe sepsis syndrome in rat.

Authors:  Pei-Hsun Sung; Hsin-Ju Chiang; Christopher Glenn Wallace; Chih-Chao Yang; Yen-Ta Chen; Kuan-Hung Chen; Chih-Hung Chen; Pei-Lin Shao; Yung-Lung Chen; Sarah Chua; Han-Tan Chai; Yi-Ling Chen; Tien-Hung Huang; Hon-Kan Yip; Mel S Lee
Journal:  Am J Transl Res       Date:  2017-07-15       Impact factor: 4.060

2.  Acute kidney injury and percutaneous nephrolithotomy: incidence and predictive factors.

Authors:  Juan Fulla; Phornphen Prasanchaimontri; Henry C Wright; Marlie Elia; Smita De; Manoj Monga; Juan Calle
Journal:  World J Urol       Date:  2021-11-22       Impact factor: 4.226

3.  The RIFLE versus AKIN classification for incidence and mortality of acute kidney injury in critical ill patients: A meta-analysis.

Authors:  Jiachuan Xiong; Xi Tang; Zhangxue Hu; Ling Nie; Yiqin Wang; Jinghong Zhao
Journal:  Sci Rep       Date:  2015-12-07       Impact factor: 4.379

Review 4.  Incidence, timing and outcome of AKI in critically ill patients varies with the definition used and the addition of urine output criteria.

Authors:  J Koeze; F Keus; W Dieperink; I C C van der Horst; J G Zijlstra; M van Meurs
Journal:  BMC Nephrol       Date:  2017-02-20       Impact factor: 2.388

5.  Clinical and Laboratory Features Associated with Acute Kidney Injury in Severe Malaria.

Authors:  Hiren Anghan; Prayas Sethi; Manish Soneja; Sandeep Mahajan; Naveet Wig
Journal:  Indian J Crit Care Med       Date:  2018-10

6.  The risk of renal function deterioration in abdominal aortic stent graft patients with and without previous kidney function failure - an analysis of risk factors.

Authors:  Tomasz Urbanek; Grzegorz Biolik; Wojciech Zelawski; Beata Hapeta; Maciej Jusko; Waclaw Kuczmik
Journal:  Pol J Radiol       Date:  2020-12-15

7.  Incidence, Risk Factors, and Outcome of Acute Kidney Injury in the Intensive Care Unit: A Single-Center Study from Jordan.

Authors:  Ashraf O Oweis; Sameeha A Alshelleh; Suleiman M Momany; Shaher M Samrah; Basheer Y Khassawneh; Musa A K Al Ali
Journal:  Crit Care Res Pract       Date:  2020-07-30

8.  CRRT influences PICCO measurements in febrile critically ill patients.

Authors:  Qiancheng Xu; Yuhan Cao; Weihua Lu; Jianguo Li
Journal:  Open Med (Wars)       Date:  2022-02-14

9.  Comparison of the RIFLE, AKIN and KDIGO criteria to predict mortality in critically ill patients.

Authors:  Talita Machado Levi; Sérgio Pinto de Souza; Janine Garcia de Magalhães; Márcia Sampaio de Carvalho; André Luiz Barreto Cunha; João Gabriel Athayde de Oliveira Dantas; Marília Galvão Cruz; Yasmin Laryssa Moura Guimarães; Constança Margarida Sampaio Cruz
Journal:  Rev Bras Ter Intensiva       Date:  2013 Oct-Dec
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.