Literature DB >> 26337793

External Validation for Acute Kidney Injury Severity Scores: A Multicenter Retrospective Study in 14 Japanese ICUs.

Tetsu Ohnuma, Shigehiko Uchino, Noriyoshi Toki, Kenta Takeda, Yoshitomo Namba, Shinshu Katayama, Hiroo Kawarazaki, Hideto Yasuda, Junishi Izawa, Makiko Uji, Natsuko Tokuhira, Isao Nagata.   

Abstract

BACKGROUND/AIMS: Acute kidney injury (AKI) is associated with high mortality. Multiple AKI severity scores have been derived to predict patient outcome. We externally validated new AKI severity scores using the Japanese Society for Physicians and Trainees in Intensive Care (JSEPTIC) database.
METHODS: New AKI severity scores published in the 21st century (Mehta, Stuivenberg Hospital Acute Renal Failure (SHARF) II, Program to Improve Care in Acute Renal Disease (PICARD), Vellore and Demirjian), Liano, Simplified Acute Physiology Score (SAPS) II and lactate were compared using the JSEPTIC database that collected retrospectively 343 patients with AKI who required continuous renal replacement therapy (CRRT) in 14 intensive care units. Accuracy of the severity scores was assessed by the area under the receiver-operator characteristic curve (AUROC, discrimination) and Hosmer-Lemeshow test (H-L test, calibration).
RESULTS: The median age was 69 years and 65.8% were male. The median SAPS II score was 53 and the hospital mortality was 58.6%. The AUROC curves revealed low discrimination ability of the new AKI severity scores (Mehta 0.65, SHARF II 0.64, PICARD 0.64, Vellore 0.64, Demirjian 0.69), similar to Liano 0.67, SAPS II 0.67 and lactate 0.64. The H-L test also demonstrated that all assessed scores except for Liano had significantly low calibration ability.
CONCLUSIONS: Using a multicenter database of AKI patients requiring CRRT, this study externally validated new AKI severity scores. While the Demirjian's score and Liano's score showed a better performance, further research will be required to confirm these findings.
© 2015 S. Karger AG, Basel

Entities:  

Mesh:

Year:  2015        PMID: 26337793     DOI: 10.1159/000439118

Source DB:  PubMed          Journal:  Am J Nephrol        ISSN: 0250-8095            Impact factor:   3.754


  5 in total

1.  The National Early Warning Score and its subcomponents recorded within ±24 h of emergency medical admission are poor predictors of hospital-acquired acute kidney injury.

Authors:  Muhammad Faisal; Andy Scally; Musab Ahmed Elgaali; Donald Richardson; Kevin Beatson; Mohammed A Mohammed
Journal:  Clin Med (Lond)       Date:  2018-02       Impact factor: 2.659

2.  A Novel Predictive Model for Hospital Survival in Patients who are Critically Ill with Dialysis-Dependent AKI: A Retrospective Single-Center Exploratory Study.

Authors:  Anirban Ganguli; Saad Farooq; Neerja Desai; Shreedhar Adhikari; Vatsal Shah; Michael J Sherman; Judith H Veis; Jack Moore
Journal:  Kidney360       Date:  2022-01-25

Review 3.  Prediction Models and Their External Validation Studies for Mortality of Patients with Acute Kidney Injury: A Systematic Review.

Authors:  Tetsu Ohnuma; Shigehiko Uchino
Journal:  PLoS One       Date:  2017-01-05       Impact factor: 3.240

4.  Urinary biomarkers predict advanced acute kidney injury after cardiovascular surgery.

Authors:  Jian-Jhong Wang; Nai-Hsin Chi; Tao-Min Huang; Rory Connolly; Liang Wen Chen; Shih-Chieh Jeff Chueh; Wei-Chih Kan; Chih-Cheng Lai; Vin-Cent Wu; Ji-Tseng Fang; Tzong-Shinn Chu; Kwan-Dun Wu
Journal:  Crit Care       Date:  2018-04-26       Impact factor: 9.097

5.  Electronic health records accurately predict renal replacement therapy in acute kidney injury.

Authors:  Sanmay Low; Anantharaman Vathsala; Tanusya Murali Murali; Long Pang; Graeme MacLaren; Wan-Ying Ng; Sabrina Haroon; Amartya Mukhopadhyay; Shir-Lynn Lim; Bee-Hong Tan; Titus Lau; Horng-Ruey Chua
Journal:  BMC Nephrol       Date:  2019-01-31       Impact factor: 2.388

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.