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.

Related Articles


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 December 18, 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 December 18, 2014).

Share This


More From ScienceDaily



More Health & Medicine News

Thursday, December 18, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Kids Die While Under Protective Services

Kids Die While Under Protective Services

AP (Dec. 18, 2014) As part of a six-month investigation of child maltreatment deaths, the AP found that hundreds of deaths from horrific abuse and neglect could have been prevented. AP's Haven Daley reports. (Dec. 18) Video provided by AP
Powered by NewsLook.com
Dads-To-Be Also Experience Hormone Changes During Pregnancy

Dads-To-Be Also Experience Hormone Changes During Pregnancy

Newsy (Dec. 18, 2014) A study from University of Michigan researchers found that expectant fathers see a decrease in testosterone as the baby's birth draws near. Video provided by Newsy
Powered by NewsLook.com
Prenatal Exposure To Pollution Might Increase Autism Risk

Prenatal Exposure To Pollution Might Increase Autism Risk

Newsy (Dec. 18, 2014) Harvard researchers found children whose mothers were exposed to high pollution levels in the third trimester were twice as likely to develop autism. Video provided by Newsy
Powered by NewsLook.com
UN: Up to One Million Facing Hunger in Ebola-Hit Countries

UN: Up to One Million Facing Hunger in Ebola-Hit Countries

AFP (Dec. 17, 2014) Border closures, quarantines and crop losses in West African nations battling the Ebola virus could lead to as many as one million people going hungry, UN food agencies said on Wednesday. Duration: 00:52 Video provided by AFP
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:

Strange & Offbeat Stories


Health & Medicine

Mind & Brain

Living & Well

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