A5036180302- Heart Rate Variability and Autonomic Control
- Machine Learning in Healthcare
- Blood Pressure and Hypertension Studies
- Artificial Intelligence in Healthcare
- Resilience and Mental Health
- Heparin-Induced Thrombocytopenia and Thrombosis
- Cardiovascular Health and Risk Factors
- High Altitude and Hypoxia
- COVID-19 and Mental Health
- Obstructive Sleep Apnea Research
- Hemodynamic Monitoring and Therapy
- Medical and Biological Sciences
- Drug-Induced Adverse Reactions
- SARS-CoV-2 and COVID-19 Research
- Biomedical Ethics and Regulation
- Historical Medical Research and Treatments
- Cardiovascular Syncope and Autonomic Disorders
Columbia University
2024
Columbia University Irving Medical Center
2023
South Warwickshire NHS Foundation Trust
2021
Memorial Sloan Kettering Cancer Center
2020
BACKGROUND: Home blood pressure (BP) monitoring over a 7-day period is recommended to confirm the diagnosis of hypertension. METHODS: We determined upper and lower home BP thresholds with >90% positive predictive value negative using 1 6 days identify high (systolic ≥130 mm Hg or diastolic ≥80 Hg) based on 7 monitoring. The sample included 361 adults from Improving Detection Hypertension Study who were not taking antihypertensive medication. used two periods, at least 3 apart, first being...
Using high awake blood pressure (BP; ≥130/80 mm Hg) on ambulatory BP monitoring (ABPM) as a reference, the purpose of this study was to determine accuracy office (≥130/80 at an initial visit and confirmatory Hg), separately, home among participants with visit.
Background: Home blood pressure (BP) monitoring (HBPM) devices have been adapted as an alternative to ambulatory BP (ABPM) for measuring sleep BP. We evaluated participants' preference using HBPM versus ABPM monitor in the BetterBP study. Methods: Participants study (N=591) completed one night of (3 measurements total) and 24 hours (measurements every 30 minutes) random order. After completing both procedures, participants were asked about side effects experienced, willingness again perform...
Abstract Introduction: The need to rapidly collect, integrate, and share data on COVID-19 patients with cancer at scale has given rise multiple internal cross-institutional research registries. These registries support use cases that require different levels of granularity are built using mixed standards. Ensuring semantic interoperability quality this is critical for generating reliable reproducible evidence. At MSK, we created a framework enabled the rapid development semantically...