Rhode Island doctor creates Ebola diagnostic tool
"There is a lag time between a suspected case and a confirmation," tool developer Adam Levine said. "The Ebola Prediction Score will help clinicians risk-stratify patients already meeting one or more suspect definitions of EVD."
Ebola symptoms mimic the symptoms of other viruses, making it difficult for physicians to accurately diagnose patients. Adam Levine’s new tool, called the Ebola Prediction Score, is derived from a clinical prediction model. The tool determines how likely it is that patients with Ebola symptoms actually have Ebola.
"Admitting a patient to an (Ebola Treatment Unit) in a rural setting or to a community-based isolation center who is unlikely to have (Ebola) puts that patient at risk for exposure," Levine said. "Determining which patients to admit for definitive testing and treatment required balancing the epidemiologic imperative to break the train of transmission in the community against the ethical imperative to 'do no harm' to each individual patient, all within the context of severe resource constraints."
As of today, more than 10,000 people have died from Ebola in Guinea, Liberia and Sierra Leone, the largest outbreak of Ebola in history. More details can be found in the Annals of Emergency Medicine.