Science News

... from universities, journals, and other research organizations

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

Oct. 19, 2009 — 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.


Share This:

"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.

Share this story on Facebook, Twitter, and Google:

Other social bookmarking and sharing tools:

|

Story Source:

The above story is reprinted from materials provided by St. Michael's Hospital, via EurekAlert!, a service of AAAS.

Note: Materials may be edited for content and length. For further information, please contact the source cited above.


APA

MLA

Note: If no author is given, the source is cited instead.

Search ScienceDaily

Number of stories in archives: 137,376

Find with keyword(s):
 
Enter a keyword or phrase to search ScienceDaily's archives for related news topics,
the latest news stories, reference articles, science videos, images, and books.

Recommend ScienceDaily on Facebook, Twitter, and Google:

Other social bookmarking and sharing services:

|

 
  more breaking science news

Social Networks


Follow ScienceDaily on Facebook, Twitter,
and Google:

Recommend ScienceDaily on Facebook, Twitter, and Google +1:

Other social bookmarking and sharing tools:

|

Breaking News

... from NewsDaily.com

In Other News ...

Science Video News


Detecting Concussions on the Sidelines

Using a handheld unit attached to a laptop, doctors can now check in just five to seven minutes if a patient has suffered from concussion, by testing. ...  > full story

Strange Science News

 

Free Subscriptions

... from ScienceDaily

Get the latest science news with our free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Feedback

... we want to hear from you!

Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?

Post this page to your favorite social bookmarking site:
Include this item in your blog or web site:
Cite this article in your essay, paper, or report:
Email this page's link to a friend or colleague: