Acute Kidney Injury Risk Prediction Score for Critically-ill Surgical Patients

Konlawij Trongtrakul; Jayanton Patumanond; Suneerat Kongsayreepong; Sunthiti Morakul; Tanyong Pipanmekaporn; Osaree Akaraborworn; Sujaree Poopipatpab

Disclosures

BMC Anesthesiol. 2020;20(140) 

In This Article

Background

Acute kidney injury (AKI), a rapid deterioration of kidney function, is one of the most common complications affecting major surgical patients admitted to the intensive care unit (ICU).[1,2] Occurrences of AKI in critically-ill surgical patients are independently associated with increased length of ICU stay, morbidity, and mortality.[1,2]

Currently, several studies that attempted to identify AKI from an early stage using biomarkers have been reported.[3] However, the commercial biomarkers for detecting AKI remain unobtainable in many countries.

Another option for providing AKI prediction scores has been postulated for improving early diagnosis of AKI.[4] The AKI prediction scores have been developed from various population groups; for instance, cardiothoracic surgical patients,[5,6] general surgical patients,[7,8] or mixed medical and surgical critically-ill patients.[9] However, it is rarely reported from the perspective of non-cardiothoracic critically-ill surgical patients, whose illness severity is worse than general surgical patients, and surgical interventions may create some characteristics that differ from critically-ill medical patients. Therefore, this study was conducted to develop an AKI prediction score for critically-ill surgical patients to demonstrate the features of patients who have a greater chance of AKI following major non-cardiothoracic surgery and who are then admitted to the ICU.

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