Big data analysis accurately predicts patient survival from heart failure

April 13, 2018, Yale University
Credit: stock.adobe.com

Heart failure is the leading cause of death and disability in the United States, costing healthcare systems worldwide more than $30 billion annually. Current approaches to treatment are limited by crude clinical assessments of the disease. In a new study, Yale researchers have successfully used big data methods to improve prediction of heart failure patient survival. They also described data-driven categories of patients that are distinct in their response to commonly used therapies.

This innovative approach, detailed in the Journal of the American Heart Association, could lead to better care for this incurable chronic condition, the researchers said.

Led by Drs. Tariq Ahmad and Nihar Desai, both assistant professors in Yale's Section of Cardiovascular Medicine, the research team analyzed health data from a large registry of more than 40,000 . The researchers used a statistical "machine-learning" technique to first predict outcomes for the patients one year after diagnosis. They also applied cluster analysis methods to sort the patients into four clinically recognizable categories with different responses to commonly used medications.

The big-data methods vastly outperformed currently used measures of , and had better prediction of risk than previously published prediction models, Ahmad said. The research team also used entirely data-driven methods to group patients into distinct clusters that responded differently to medical therapies.

As a final step, the researchers used their findings to develop a predictive online tool that could be integrated into electronic health records in healthcare systems. Their long-term goal is to apply these advanced analytic strategies to improve research and to provide personalized care for -failure patients as well as "enhanced intelligence" to clinicians at the bedside, Ahmad said.

The investigators also pointed to this study as a model for future work that could be achieved through collaborations between data scientists and clinicians at Yale. They cited the recently created Center for Biomedical Data Science at Yale School of Medicine as an example of ongoing efforts to drive a paradigm shift toward team-based science across the medical center and the school.

Explore further: Study highlights need for better treatment of heart failure patients

More information: Tariq Ahmad et al. Machine Learning Methods Improve Prognostication, Identify Clinically Distinct Phenotypes, and Detect Heterogeneity in Response to Therapy in a Large Cohort of Heart Failure Patients, Journal of the American Heart Association (2018). DOI: 10.1161/JAHA.117.008081

Related Stories

Study highlights need for better treatment of heart failure patients

March 27, 2018
A new study by researchers from the Universities of Leicester and Keele, has highlighted the need for better treatment of heart disease patients suffering from additional chronic conditions.

Heart's pumping function is not an indicator of heart failure survival rates

November 12, 2017
Contrary to popular practice, a measure of the heart's pumping function known as "left ventricular ejection fraction" is not associated with the long-term outcomes of hospitalized heart failure patients, a UCLA-led study ...

Big data model improves prediction of key hospital outcome

February 18, 2016
More than half of hospital deaths in the United States are related to severe infections, or sepsis. Yale researchers developed a prediction model, drawing on "big data" about local patients and using machine-learning methods, ...

Guideline adherence, not patient volume, may be better hospital heart failure metric

January 29, 2018
In evaluating the quality of care given to those hospitalized with heart failure, adherence to clinical guidelines may be a better measure of quality than the number of heart failure patients a hospital admits, according ...

Following treatment guidelines more important than volume for assessing heart failure care

February 5, 2018
Looking at how well hospitals adhere to treatment guidelines for heart failure is more important than comparing patient volumes at hospitals, new research shows.

Study gets to the heart of heart failure

January 29, 2016
A failing heart is said to be like an "engine out of fuel." To better understand the problem of energy production in heart-failure patients, researchers at Yale University and Duke University studied the underlying metabolic ...

Recommended for you

Omega 3 supplements have little or no heart or vascular health benefit: review

July 17, 2018
New evidence published today shows there is little or no effect of omega 3 supplements on our risk of experiencing heart disease, stroke or death.

Researchers discover new genes associated with heart function

July 17, 2018
A new study from an international research team, led by Dr. Yalda Jamshidi at St George's, University of London, has identified new genes associated with heart function and development.

Southern diet could be deadly for people with heart disease

July 12, 2018
People with a history of heart disease who eat a traditional Southern diet are more likely to die than those who follow a Mediterranean dietary pattern, according to new research.

Late-life high blood pressure may harm the brain, study says

July 11, 2018
Decades ago, hundreds of nuns and priests made an extraordinary decision: They agreed to donate their brains upon death to science, hoping to help solve mysteries about Alzheimer's and other diseases. Now, a study that used ...

Multivitamins do not promote cardiovascular health

July 10, 2018
Taking multivitamin and mineral supplements does not prevent heart attacks, strokes or cardiovascular death, according to a new analysis of 18 studies published in Circulation: Cardiovascular Quality and Outcomes, an American ...

Mobile health devices diagnose hidden heart condition in at-risk populations

July 10, 2018
Wearable mobile health devices improved the rate of diagnosis of a dangerous and often hidden heart condition called atrial fibrillation (AFib), according to a first of its kind, home-based clinical study conducted in part ...

0 comments

Please sign in to add a comment. Registration is free, and takes less than a minute. Read more

Click here to reset your password.
Sign in to get notified via email when new comments are made.