Mitral Valve Healthy Solutions for Stroke Prevention - Health

Key Insights on Mitral Valve Disease and Stroke Risk

A recent study found that only 1.5 % of patients experienced a cerebrovascular accident ( CVA ) after a median follow - up of 14 months , with the majority of cases being ischemic strokes . The risk of CVA was higher in patients with atrial fibrillation ( AFib ) , renal dysfunction , a higher EuroSCORE II , or a higher CHA2DS2 - VASc score.

The CHA2DS2 - VASc score was not found to be a reliable predictor of post - transcatheter edge - to - edge repair ( TEER ) stroke or transient ischemic attack ( TIA ) . While experiencing a CVA did not significantly increase short - term risks , there was an indication that it could raise mid - term risks of death or other adverse outcomes . Mitral regurgitation patients with AFib were deemed to have an increased stroke risk , necessitating proactive treatment with anticoagulant therapy or left atrial appendage occlusion ( LO ) when needed.

It is recommended that future research focus on developing more accurate risk prediction models for identifying high - risk patients for CVA post - TEER , incorporating a broader range of clinical and procedural variables . Understanding the optimal antithrombotic therapy regimens and their timing in relation to the procedure could be crucial in lowering post - procedural CVA risk while managing bleeding risks . Longitudinal studies on the neurocognitive outcomes of patients who experienced CVA after TEER could offer insights into enhancing patient quality of life and tailoring post - procedure care strategies . Additionally , the potential benefits of transcatheter LO in high - risk AFib patients before , during , or after TEER warrant further research and consideration.

Abbott , the company behind MitraClip technology , played a role in funding the GIOTTA registry , with some authors having previous ties to Abbott . Continued research and advancements in treatment strategies for Mitral Valve Disease and stroke risk are essential in improving patient outcomes and quality of life . Mitigating CVA risks through proactive measures and refined risk prediction models can help in better managing the health of at - risk patients.