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Revising the Maximal Contrast Dose for Predicting Acute Kidney Injury following Coronary Intervention.
Hattar, Laith; Assaker, Jean-Pierre; Aoun, Joe; Price, Lori Lyn; Carrozza, Joseph; Jaber, Bertrand L.
  • Hattar L; Department of Medicine, St. Elizabeth's Medical Center and Tufts University School of Medicine, Boston, Massachusetts, USA.
  • Assaker JP; Department of Medicine, St. Elizabeth's Medical Center and Tufts University School of Medicine, Boston, Massachusetts, USA.
  • Aoun J; Department of Medicine, St. Elizabeth's Medical Center and Tufts University School of Medicine, Boston, Massachusetts, USA.
  • Price LL; Department of Cardiology, DeBakey Heart & Vascular Center, Houston Methodist Hospital, Houston, Texas, USA.
  • Carrozza J; Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts, USA.
  • Jaber BL; Tufts Clinical and Translational Science Institute, Tufts University, Boston, Massachusetts, USA.
Am J Nephrol ; 52(4): 328-335, 2021.
Article en En | MEDLINE | ID: mdl-33827080
ABSTRACT

INTRODUCTION:

The maximal allowable contrast dose (MACD = 5 × body weight/serum creatinine) is an empiric equation that has been used and validated in several studies to mitigate the risk of contrast-induced acute kidney injury (CI-AKI). However, coefficient 5 (referred to as factor K) was empirically devised and never disputed. The aim of this study was to refine the MACD equation for the prediction of CI-AKI following percutaneous coronary interventions (PCIs).

METHODS:

This is a single-center, retrospective cohort study of adults undergoing PCI. Electronic medical records were reviewed to identify patients who underwent PCI between 2010 and 2019, derived from the National Cardiovascular Data Registry Cath-PCI registry for our hospital. Factor K (defined as contrast volume × serum creatinine/body weight) was calculated for every patient. A receiver operating characteristic (ROC) curve was constructed, and the Youden index was used to identify the optimal cut-off value for factor K in predicting severe (stages 2-3) CI-AKI.

RESULTS:

Of the 3,506 patients undergoing PCI, 255 (7.2%) developed CI-AKI, and 68 (26.7%) of the 255 experienced severe AKI. Factor K predicted all-stage CI-AKI (area under the ROC curve 0.649; 95% CI 0.611, 0.686) but had better performance for predicting severe (stages 2-3) AKI (0.736; 95% CI 0.674, 0.800). The optimal cut-off value for factor K in predicting severe CI-AKI was 2.5, with a corresponding sensitivity of 68.7% and specificity of 70.5%. On subgroup analyses, optimal cut-off values for factor K for high-risk groups were not significantly different from those of low-risk groups.

CONCLUSION:

Our study indicates that factor K in the MACD equation is an independent risk factor for the development of severe CI-AKI, with an optimal cut-off value of 2.5. If our findings are validated, the MACD equation should be revised to incorporate the coefficient of 2.5 instead of 5.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Peso Corporal / Medios de Contraste / Creatinina / Lesión Renal Aguda / Intervención Coronaria Percutánea Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Peso Corporal / Medios de Contraste / Creatinina / Lesión Renal Aguda / Intervención Coronaria Percutánea Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Año: 2021 Tipo del documento: Article