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Hypotension Prediction Index (HPI) in Lung Resections

StatusCompleted
PhaseNot specified
Started
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Record History

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  1. Minor Trial completed Show 6 more changesShow less
    • Final enrollment: 77 participants (planned 60)
    • Eligibility criteria expanded, about 10 words
    • Secondary endpoints: details revised at 1 of 1 entry
    • Study description expanded, about 6 words
    • Site details revised at 3 of 3 sites
    • Publications: details revised at 27 of 28 entries
  2. Notable Primary and study completion dates: Dec 31, 2024 to Dec 31, 2025v3
  3. Minor Study title shortened, about 7 wordsv2
  4. Minor Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
Perioperative hypotension is a risk factor for perioperative complications. Advances in machine learning and artificial intelligence have produced an algorithm that predicts the occurrence of hypotension episodes by analyzing an arterial pressure waveform. This technology has not been validated in thoracic surgical patients undergoing lung resections with the use of one-lung ventilation (OLV). We planned an observational, prospective multi-centre cohort validation study of the Hypotension Prediction Index (HPI) in patients undergoing lung resection procedures with the use of one-lung ventilation and a lung-protective strategy.
Trial Details
NCT Number NCT06202638
Lead Sponsor John Paul II Hospital, Krakow
Conditions
(from sponsor)
Intraoperative Hypotension
Related terms Hypotension
Enrollment 77 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov