Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/76682
Title: External validation of the acute kidney injury risk prediction score for critically ill surgical patients who underwent major non-cardiothoracic surgery
Authors: Konlawij Trongtrakul
Jayanton Patumanond
Piyarat Phairatwet
Chaiwut Sawawiboon
Anusang Chitsomkasem
Sathit Kurathong
Surasee Prommoon
Thananda Trakarnvanich
Phichayut Phinyo
Authors: Konlawij Trongtrakul
Jayanton Patumanond
Piyarat Phairatwet
Chaiwut Sawawiboon
Anusang Chitsomkasem
Sathit Kurathong
Surasee Prommoon
Thananda Trakarnvanich
Phichayut Phinyo
Keywords: Health Professions;Medicine;Nursing
Issue Date: 1-Feb-2021
Abstract: Background: Acute kidney injury (AKI) is a common complication encountered in an intensive care unit (ICU). In 2020, the AKI prediction score was developed specifically for critically ill surgical patients who underwent major non-cardiothoracic surgeries. This study aimed to externally validate the AKI prediction score in terms of performance and clinical utility. Methods: External validation was carried out in a prospective cohort of patients admitted to the ICU of the Faculty of Medicine Vajira Hospital between September 2014 and September 2015. The endpoint was AKI within seven days following ICU admission. Discriminative ability was based on the area under the receiver operating characteristic curves (AuROC). Calibration and clinical usefulness were evaluated. Results: A total of 201 patients were included in the analysis. AKI occurred in 37 (18.4%) patients. The discriminative ability dropped from good in the derivation cohort, to acceptable in the validation cohort (0.839 (95%CI 0.825–0.852) vs. 0.745 (95%CI 0.652–0.838)). No evidence of lack-of-fit was identified (p = 0.754). The score had potential clinical usefulness across the range of threshold probability from 10 to 50%. Conclusions: The AKI prediction score showed an acceptable discriminative performance and calibration with potential clinical usefulness for predicting AKI risk in surgical patients who underwent major non-cardiothoracic surgery.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85104416319&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/76682
ISSN: 22279032
Appears in Collections:CMUL: Journal Articles

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