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Adjusting Acute Kidney Injury Kidney Disease: Improving Global Outcomes Urine Output Criterion for Predicted Body Weight Improves Prediction of Hospital Mortality.
Hessler, Michael; Arnemann, Philip-Helge; Jentzsch, Imke; Görlich, Dennis; Morelli, Andrea; Rehberg, Sebastian W; Ertmer, Christian; Kampmeier, Tim-Gerald.
Afiliación
  • Hessler M; From the Department of Anesthesiology, Intensive Care and Pain Medicine, University Hospital of Muenster, Muenster, Germany.
  • Arnemann PH; From the Department of Anesthesiology, Intensive Care and Pain Medicine, University Hospital of Muenster, Muenster, Germany.
  • Jentzsch I; Department of Anesthesiology, Hospital of the University of Munich-Campus Großhadern, Munich, Germany.
  • Görlich D; Institute of Biostatistics and Clinical Research, University of Muenster, Muenster, Germany.
  • Morelli A; Department of Anesthesiology and Intensive Care, University of Rome "La Sapienza," Rome, Italy.
  • Rehberg SW; Department of Anesthesiology, Intensive Care, Emergency Medicine, Transfusion Medicine and Pain Therapy, Protestant Hospital of the Bethel Foundation, Bielefeld, Germany.
  • Ertmer C; From the Department of Anesthesiology, Intensive Care and Pain Medicine, University Hospital of Muenster, Muenster, Germany.
  • Kampmeier TG; From the Department of Anesthesiology, Intensive Care and Pain Medicine, University Hospital of Muenster, Muenster, Germany.
Anesth Analg ; 138(1): 134-140, 2024 Jan 01.
Article en En | MEDLINE | ID: mdl-37851903
ABSTRACT

BACKGROUND:

Based on the Kidney Disease Improving Global Outcomes (KDIGO) definitions, urine output, serum creatinine, and need for kidney replacement therapy are used for staging acute kidney injury (AKI). Currently, AKI staging correlates strongly with mortality and can be used as a predictive tool. However, factors associated with the development of AKI may affect its predictive ability. We tested whether adjustment for predicted (versus actual) body weight improved the ability of AKI staging to predict hospital mortality.

METHODS:

A total of 3279 patients who had undergone cardiac surgery in a university hospital were retrospectively analyzed. AKI was staged according to KDIGO criteria (standard staging) and after adjustment for hourly urine output adjusted by predicted body weight for each patient and each day of their hospital stay.

RESULTS:

The incidence of AKI (all stages) was 43% (predicted body weight adjusted) and 50% (standard staging), respectively ( P < .001). In sensitivity-specificity analyses for predicting hospital mortality, the area under the curve was significantly higher after adjustment for predicted body weight than with standard staging ( P = .002).

CONCLUSIONS:

Compared to standard staging, adjustment of urine output for predicted body weight increases the specificity and improves prediction of hospital mortality in patients undergoing cardiac surgery.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Lesión Renal Aguda / Procedimientos Quirúrgicos Cardíacos Límite: Humans Idioma: En Revista: Anesth Analg Año: 2024 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Lesión Renal Aguda / Procedimientos Quirúrgicos Cardíacos Límite: Humans Idioma: En Revista: Anesth Analg Año: 2024 Tipo del documento: Article País de afiliación: Alemania