TAVR and cancer: machine learning-augmented propensity score mortality and cost analysis in over 30 million patients.
Dominique J MonlezunLogan HostetterPrakash BalanNicolas PalaskasJuan Lopez-MatteiMehmet CilingirogluZaza IakobishviliMichael EwerKonstantinos MarmagkiolisCezar IliescuPublished in: Cardio-oncology (London, England) (2021)
Comparison of aortic valve intervention in patients with and without cancer suggests that interventions are underutilized in the cancer population. This study suggests that patients with cancer including those with metastasis have similar inpatient outcomes to patients without cancer. Further, patients who have symptomatic AS and those with higher risk aortic valve disease should be offered the benefit of intervention. Modern techniques have reduced intervention-related adverse events, provided improved quality of life, and appear to be cost effective; these advantages should not necessarily be denied to patients with co-existing cancer.
Keyphrases
- aortic valve
- papillary thyroid
- end stage renal disease
- ejection fraction
- machine learning
- squamous cell
- transcatheter aortic valve replacement
- randomized controlled trial
- newly diagnosed
- aortic stenosis
- chronic kidney disease
- aortic valve replacement
- squamous cell carcinoma
- metabolic syndrome
- cardiovascular disease
- physical activity
- artificial intelligence
- big data
- insulin resistance
- acute care
- drug induced
- virtual reality