In 2011 there were over 1 million coronary intervention procedures performed in the U.S. The success of stent technology to effectively maintain blood flow to the heart has significantly contributed to the number of procedures performed each year. A major side effect from the increase in Percutaneous Coronary Interventions (PCI) has been the increase in Contrast Induced Nephropathy (CIN). The negative impact to the kidneys of patients undergoing PCI is caused by the use of contrast agents required for imaging during the procedure. To prospectively identify the patients who may be at risk to CIN, physicians rely on basic clinical measurements such as blood pressure, age, and medical history. However, there is still a sizable population of patients who have adverse reactions to the contrast agents used during PCI. There is a need for a more accurate patient risk assessment tool for physicians to prospectively identify at risk patients who are undergoing PCI procedures.
Simple Tool for Predicting Patient Risk for Contrast Induced Nephropathy A large research study in the population of patients who develop Contrast Induced Nephropathy (CIN) after undergoing percutaneous coronary intervention has resulted in a valuable tool for prospectively evaluating patient risk to CIN. The software is a real-time bedside tool that can be used by physicians to more accurately evaluate a patient’s risk to CIN prior to performing any coronary intervention. The development of this technology has drastically improved the accuracy in predicting which patients are potentially at higher risks and can therefore be treated with prophylactic therapies to CIN. The use of this new tool in hospitals and clinics will enable better quality of care and reduce one of the most significant sources of hospital morbidity and mortality.
Applications • Real-time software tool for predicting patient risk to CIN Advantages • Higher accuracy than existing tools for risk evaluations for CIN • Can be used at beside to enhance clinical decision making • Potential reduction in CIN cases during coronary intervention