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Estimating baseline kidney function in hospitalized adults with acute kidney injury.
Larsen, Thomas; See, Emily J; Holmes, Natasha; Bellomo, Rinaldo.
Afiliação
  • Larsen T; Data Analytics Research Evaluation (DARE) Centre, Austin Hospital and University of Melbourne, Heidelberg, Victoria, Australia.
  • See EJ; Department of Critical Care, University of Melbourne, Melbourne, Victoria, Australia.
  • Holmes N; Department of Critical Care, University of Melbourne, Melbourne, Victoria, Australia.
  • Bellomo R; Department of Intensive Care, Austin Hospital, Heidelberg, Victoria, Australia.
Nephrology (Carlton) ; 27(7): 588-600, 2022 Jul.
Article em En | MEDLINE | ID: mdl-35471640
AIM: Baseline serum creatinine values are required to diagnose acute kidney injury but are often unavailable. We evaluated four conventional equations to estimate creatinine. We then developed and validated a new equation corrected by age and gender. METHODS: We retrospectively examined adults who, at first hospital admission, had available baseline creatinine data and developed acute kidney injury ≥24 h after admission. We split the study population: 50% (derivation) to develop a new linear equation and 50% (validation) to compare against conventional equations for bias, precision, and accuracy. We stratified analyses by age and gender. RESULTS: We studied 3139 hospitalized adults (58% male, median age 71). Conventional equations performed poorly in bias and accuracy in patients aged <60 or ≥75 (68% of the study population). The new linear equation had less bias and more accuracy. There were no clinically significant differences in precision. The median (95% confidence interval) difference in creatinine values estimated via the new equation minus measured baselines was 0.9 (-3.0, 5.9) and -0.5 (-7.0, 3.7) µmol/L in female patients 18-60 and 75-100, and -1.5 (-4.2, 2.2) and -7.8 (-12.7, -3.6) µmol/L in male patients 18-60 and 75-100, respectively. The new equation improved reclassification of KDIGO AKI stages compared to the MDRD II equation by 5.0%. CONCLUSION: Equations adjusted for age and gender are less biased and more accurate than unadjusted equations. Our new equation performed well in terms of bias, precision, accuracy, and reclassification.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Injúria Renal Aguda Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Adult / Aged / Female / Humans / Male Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Injúria Renal Aguda Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Adult / Aged / Female / Humans / Male Idioma: En Ano de publicação: 2022 Tipo de documento: Article