Cardiothoracic & vascular anesthesia
Machine Learning–Guided Hypotension Prediction and Goal-Directed Therapy During Transcatheter Valve Repair: A Prospective Observational Study
Authors' conclusion
The main result of this study consisted of safe hemodynamic management during PTVR in terms of limiting the incidence and severity of IOH.
Study context
- Population
- Patients undergoing percutaneous transcatheter valve repair (PTVR) under GA with HPI-based hemodynamic guidance
- Participants
- 69 patients
- Outcome
- Time-weighted average (TWA) mean arterial pressure (MAP) below 65 mmHg
Methodological detailssingle-centre
- Single-centre
Main finding
As reported in the abstract
TWA-MAP < 65 mmHg
Median TWA-MAP < 65 mmHg (mmHg)
0.17
IQR (mmHg)
0.01-0.7
Observational data: associations, not effects.
Secondary outcomes
Patients with ≥1 hypotensive event
- Two-thirds of patients experienced intraoperative hypotension (IOH)
Hypotensive events per patient
- Average number of hypotensive events per patient
- 2.49
- IQR
- 0-4
Procedural time spent in hypotension
- Median percentage of procedural time in hypotension
- 4.8%
Timing of hypotensive events
- Majority of hypotensive events occurred after induction of GA
Original publication
Machine Learning–Guided Hypotension Prediction and Goal-Directed Therapy During Transcatheter Valve Repair: A Prospective Observational Study. J Cardiothorac Vasc Anesth. Published 4 August 2026. doi:10.
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