Machine Learning For Chronic Heart Failure Care

Computer science technology has been used to disentangle patients who are at most risk of sudden arrhythmic cardiac death from patients most at risk of heart failure death. This knowledge will help in bestowing the right care to the right patient.

Artificial intelligence helps to predict outcomes of chronic heart failure and arrhythmia. It helps to distinguish sudden arrhythmic cardiac death from heart failure death, This knowledge can be used to tailor medical care given to the patients according to their needs.

Tens of millions of people worldwide have chronic heart failure, and only a little over half of them survive 5 years beyond their diagnosis. Now, researchers from Japan are helping doctors to assign patients into groups based on their specific needs, to improve medical outcomes.

‘Artificial intelligence helps to predict which patients most likely need what kind of treatments. By doing so, a greater number of patients are likely to live longer.’

In a study recently published in the Journal of Nuclear Cardiology, researchers from Kanazawa University have used computer science to disentangle patients most at risk of sudden arrhythmic cardiac death from patients most at risk of heart failure death.

Doctors have many methods at their disposal for diagnosing chronic heart failure. However, there's a need to better identify what treatment to pursue, in accordance with the risks of each approach. When combined with conventional clinical tests, a molecule known as iodine-123 labelled MIBG can help discriminate between high-risk and low-risk patients. However, there is no way to assess the risk of arrhythmic death separately from the risk of heart failure death, something the researchers at Kanazawa University aimed to address.

"We used artificial intelligence to show that numerous variables work in synergy to better predict chronic heart failure outcomes," explains lead author of the study Kenichi Nakajima. "Neither variable, in and of itself, is quite up to the task."

Cardiac Pacemaker for Abnormal Heart Rhythms – Types, Advantages & Risks
A pacemaker stimulates the heart with electrical signals when it detects arrhythmias of the heart. Pacemakers are classified based on the number of lead electrodes used and the type of pacing involved.

To do this, the researchers examined the medical records of 526 patients with chronic heart failure and who underwent consecutive iodine-123-MIBG imaging and standard clinical testing. Conventional medical care proceeded as normal after imaging.

"The results were clear," says Nakajima. "Heart failure death was most common in older adult patients with very low MIBG activity, worse New York Heart Association class, and comorbidities."

Cardiogenic Shock - Causes, Symptoms, Diagnosis, Treatment & Prevention
Cardiogenic shock is defined as reduced cardiac output due to inability of the heart to pump adequate blood in the presence of a normal blood volume.

Furthermore, arrhythmia was most common in younger patients with moderately low iodine-123-MIBG activity and less serious heart failure. Doctors can use the Kanazawa University researchers' results to tailor medical care; for example, the type of implantable defibrillator most likely to meet the needs of the patient.

"It's important to note that our results need to be confirmed in a larger study," explains Nakajima. "In particular, the arrhythmia outcomes were perhaps too infrequent to be clinically reliable."

Congestive Heart Failure (Congestive Cardiac Failure) Current Management
Congestive heart failure (CHF) is a condition in which the heart fails to work adequately as a pump that can deliver oxygen rich blood to the body.

Given that chronic heart failure is a global problem that frequently kills within a few years after diagnosis, if not treated appropriately, it's essential to start the most appropriate medical care as soon as possible. With a reliable test that predicts which patients most likely need which treatments, a greater number of patients are likely to live longer.

Source-Eurekalert