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New Mathematical Model More Accurately Diagnoses Acute Heart Failure In Emergency Rooms

Date:
October 19, 2009
Source:
St. Michael's Hospital
Summary:
Researchers have developed the first mathematical model in cardiology and emergency medicine to more quickly and reliably diagnose acute heart failure in emergency room patients. Research findings have been shown to help physicians diagnose AHF with greater accuracy.

Researchers at St. Michael's Hospital have developed the first mathematical model in cardiology and emergency medicine to more quickly and reliably diagnose acute heart failure (AHF) in emergency room patients. Research findings published in the Journal of the American College of Cardiology, have been shown to help physicians diagnose AHF with greater accuracy.

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"In Canada, more than 100,000 people are hospitalized each year for acute heart failure while an estimated $1.4 - 2.3 billion is spent to manage the disease," explains Dr. Brian Steinhart, lead researcher and emergency medicine physician at St. Michael's Hospital. "Our model aims to ensure early correct diagnosis and treatment, which allows for shorter emergency department stay for these patients and could lead to improved health outcomes and better access to precious emergency department resources."

According to researchers, the model uses natriuretic-peptide levels (a peptide hormone released from heart muscle to help regulate body fluids and blood pressure) and the clinician's judgement to help diagnose patients whose history, physical or chest X-ray may not clearly indicate AHF. Currently, accurate clinical diagnosis of AHF in the emergency department is less than 80 percent.

"In many cases, when a patient arrives in an emergency department complaining of shortness of breath, physicians are challenged to correctly diagnose patients," says Dr. Steinhart, "Our model does not require extensive clinical information, which makes it relatively simple-to-use. When the result is greater than 80 percent probability for heart failure, it suggests that the physician should treat for AHF and when it is less than 20 percent, the physician should be looking elsewhere for diagnosis."

The study developed the prediction model from the emergency department experience of 534 patients with undifferentiated shortness of breath enrolled in the Canadian Improved Management of Patients with Congestive Heart Failure (IMPROVE-CHF) trial.

Researchers and physicians involved in the trial include: St. Michael's Hospital's Kevin Thorpe, Dr. Ahmed Bayoumi, Dr. Gordon Moe and Dr. David Mazer, and Massachusetts General Hospital and Harvard Medical School's Dr. James Januzzi.


Story Source:

The above story is based on materials provided by St. Michael's Hospital. Note: Materials may be edited for content and length.


Cite This Page:

St. Michael's Hospital. "New Mathematical Model More Accurately Diagnoses Acute Heart Failure In Emergency Rooms." ScienceDaily. ScienceDaily, 19 October 2009. <www.sciencedaily.com/releases/2009/10/091015094327.htm>.
St. Michael's Hospital. (2009, October 19). New Mathematical Model More Accurately Diagnoses Acute Heart Failure In Emergency Rooms. ScienceDaily. Retrieved January 29, 2015 from www.sciencedaily.com/releases/2009/10/091015094327.htm
St. Michael's Hospital. "New Mathematical Model More Accurately Diagnoses Acute Heart Failure In Emergency Rooms." ScienceDaily. www.sciencedaily.com/releases/2009/10/091015094327.htm (accessed January 29, 2015).

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