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Ventilator-Associated Events (VAE) Clinical Risk Calculator

Detailed Technology Description

Project ID:  D2017-40 Background Mechanical ventilators are used to help patients breathe, but there are significant risks associated with its use, such as longer hospital stays and increased mortality risk. The CDC developed a set of surveillance definitions that contribute to benchmarking the quality of care for ventilated patients. Ventilator associated events (VAE) are subdivided into three categories, including ventilated associated condition (VAC), infection-related ventilated associated condition (IVAC), and ventilator associated pneumonia (VAP). The National Health Safety Network (NHSN) has created a VAE calculator that can assist physicians in making VAE categorizations.  However, these tools do not take into account the clinical environment. Therefore, there is need for a clinical calculator that can incorporate the clinical environment into the risk assessment.  Invention DescriptionThe researchers at University of Toledo have identified significant factors that determine risk of VAE among mechanically ventilated patients. The factors were incorporated into a VAE clinical risk calculator that can quantitatively show the risk associated with a decision or series of decisions. Using this novel application, patients can be optimally managed in a timely manner to avert potential complications while using a ventilator.   Applications•       Assessment of VAE risk•       High-risk patients are identified and appropriate extra preventative measures can be used Advantages•       Incorporates the clinical environment into risk analysis•       Risk can be assessed for variable lengths of time (3-30 days)•       Lower threshold of suspicion of VAE  IP Status:        Patent pending

*Abstract

*Principal Investigator

Name: Ragheb Assaly, Assistant Professor

Department: Medicine

Name: William Barnett, Quality Imporvement & Patient Safety Education Officer

Department: Internal Medicine Residency Program

Name: Fadi Safi, Assistant Professor

Department: Internal Medicine

Name: Aahd Kubbara, Fellow Pulmonary/Critical Care & Sleep Medicine

Department: Internal Medicine

Name: John Macko, Clinical IT Pharmacist

Department: Pharmacy

Name: Sadik Knuder, Professor

Department: Biostatistics & Epidermology

Country/Region

USA