Featured Research

from universities, journals, and other organizations

New Method Assesses Risks For Heart Failure Patients

Date:
August 2, 2008
Source:
Ohio State University Medical Center
Summary:
Data from 260 hospitals across the United States has led to the creation of a new method for physicians to more accurately determine the severity of heart failure in patients upon hospital admission, with a goal of reducing in-hospital mortality and more quickly identifying triage methods and treatment decisions.

Data from 260 hospitals across the United States has led to the creation of a new method for physicians to more accurately determine the severity of heart failure in patients upon hospital admission, with a goal of reducing in-hospital mortality and more quickly identifying triage methods and treatment decisions.

The model is discussed in the July 29 issue of the Journal of the American College of Cardiology.

“Heart failure patients experience high rates of hospital stays and poor outcomes,” said Dr. William Abraham, director of cardiovascular medicine at Ohio State University Medical Center and primary author of the article. “By utilizing this model, we can more quickly identify patients at risk for in-hospital mortality who might benefit from more aggressive monitoring and intervention.”

The model was developed as part of the OPTIMIZE-HF (Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure) study, which offered recommendations to improve treatment of congestive heart failure based on monitoring more than 48,000 patients.

Baseline information, treatment patterns and in-hospital outcomes were recorded for each patient upon admission. A model was then developed to identify significant predictors of in-hospital mortality, such as gender, medical history, vital signs at admittance, heart failure characteristics or history, laboratory data and admission medication.

Of the more than 48,000 patients admitted for heart failure, the in-hospital mortality rate was approximately four percent, providing an adequate number of events to evaluate predictors.

The patient characteristics most predictive of in-hospital mortality were admission creatinine levels, systolic blood pressure and patient age. Increased risk was also associated with conditions such as liver disease, past cerebrovascular issues, vascular disease and chronic obstructive pulmonary disease. Diabetes, gender and coronary artery disease were not significant predictors of mortality.

According to Abraham, while the model provides a reliable tool for clinicians, it reports in-hospital mortality only, and was not validated for post discharge outcomes. In addition, the mortality risk might have been influenced by other factors that were not measured, documented or included in the database. Therefore, the model can only be applied for patients in whom the variables were assessed.

“Despite numerous advances in the treatment of chronic heart failure, more work is needed to reduce the high risk of mortality for patients hospitalized for heart failure,” said Abraham. “An essential next step is to study whether applying this risk prediction score will favorably impact patient care and clinical outcomes.”


Story Source:

The above story is based on materials provided by Ohio State University Medical Center. Note: Materials may be edited for content and length.


Cite This Page:

Ohio State University Medical Center. "New Method Assesses Risks For Heart Failure Patients." ScienceDaily. ScienceDaily, 2 August 2008. <www.sciencedaily.com/releases/2008/07/080730140930.htm>.
Ohio State University Medical Center. (2008, August 2). New Method Assesses Risks For Heart Failure Patients. ScienceDaily. Retrieved July 27, 2014 from www.sciencedaily.com/releases/2008/07/080730140930.htm
Ohio State University Medical Center. "New Method Assesses Risks For Heart Failure Patients." ScienceDaily. www.sciencedaily.com/releases/2008/07/080730140930.htm (accessed July 27, 2014).

Share This




More Health & Medicine News

Sunday, July 27, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Trees Could Save More Than 850 Lives Each Year

Trees Could Save More Than 850 Lives Each Year

Newsy (July 27, 2014) A national study conducted by the USDA Forest Service found that trees collectively save more than 850 lives on an annual basis. Video provided by Newsy
Powered by NewsLook.com
Google's Next Frontier: The Human Body

Google's Next Frontier: The Human Body

Newsy (July 27, 2014) Google is collecting genetic and molecular information to paint a picture of the perfectly healthy human. Video provided by Newsy
Powered by NewsLook.com
What's To Blame For Worst Ebola Outbreak In History?

What's To Blame For Worst Ebola Outbreak In History?

Newsy (July 27, 2014) A U.S. doctor has tested positive for the deadly Ebola virus, as the worst-ever outbreak continues to grow. Video provided by Newsy
Powered by NewsLook.com
Losing Sleep Leaves You Vulnerable To 'False Memories'

Losing Sleep Leaves You Vulnerable To 'False Memories'

Newsy (July 27, 2014) A new study shows sleep deprivation can make it harder for people to remember specific details of an event. Video provided by Newsy
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:
from the past week

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:

Free Subscriptions


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

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile: iPhone Android Web
Follow: Facebook Twitter Google+
Subscribe: RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins