Preoperative risk prediction models for acute kidney injury after noncardiac surgery: are all models wrong, or can some be recalibrated and become useful? Comment on Br J Anaesth 2024;133: 508-518.

Hylton, Alexandra E; Stewart, Kenneth E; Tanaka, Kenichi A; Butt, Amir L

Hylton, Alexandra E; Stewart, Kenneth E; Tanaka, Kenichi A; Butt, Amir L.

Affiliation

Hylton AE; Department of Anesthesiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Stewart KE; Department of Surgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Tanaka KA; Department of Anesthesiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Butt AL; Department of Anesthesiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA. Electronic address: abutt@ouhsc.edu.

Br J Anaesth ; 133(3): 658-659, 2024 Sep.

Article in En | MEDLINE | ID: mdl-38821751

Subject(s)

Acute Kidney Injury; Postoperative Complications; Humans; Acute Kidney Injury/diagnosis; Acute Kidney Injury/etiology; Postoperative Complications/diagnosis; Risk Assessment/methods; Surgical Procedures, Operative/adverse effects; Risk Factors

Key words

acute kidney injury; clinical prediction model; noncardiac surgery; perioperative care; validation

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Postoperative Complications / Acute Kidney Injury Limits: Humans Language: En Journal: Br J Anaesth Year: 2024 Document type: Article Affiliation country: United States Country of publication: United kingdom

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