Abstract
BACKGROUND: Contrast volume used during percutaneous coronary intervention has a direct relationship with contrast-associated acute kidney injury. While several models estimate the risk of contrast-associated acute kidney injury, only the strategy of limiting contrast volume to 3 × estimated glomerular filtration rate (eGFR) gives actionable estimates of safe contrast volume doses. However, this method does not consider other patient characteristics associated with risk, such as age, diabetes or heart failure. METHODS: Using the National Cardiovascular Data Registry acute kidney injury risk model, we developed a novel strategy to define safe contrast limits by entering a contrast term into the model and using it to meet specific (eg, 10%) relative risk reductions. We then estimated acute kidney injury rates when our patient-centered model-derived thresholds were and were not exceeded using data from CathPCI version 5 between April 2018 and June 2019. We repeated the same analysis in a sub-set of patients who received ≤3 × eGFR contrast. RESULTS: After excluding patients on hemodialysis, below average risk (<7%), missing data and multiple percutaneous coronary interventions, our final analytical cohort included 141,133 patients at high risk for acute kidney injury. The rate of acute kidney injury was 10.0% when the contrast thresholds derived from our patient-centered model were met and 18.2% when they were exceeded (P < .001). In patients who received contrast ≤3 × eGFR (n = 82,318), contrast-associated acute kidney injury rate was 9.8% when the contrast thresholds derived from our patient centered model were met and 14.5% when they were exceeded (P < .001). CONCLUSIONS: A novel strategy for developing personalized contrast volume thresholds, provides actionable information for providers that could decrease rates of contrast-associated acute kidney injury. This strategy needs further prospective testing to assess efficacy in improving patient outcomes.