Machine Learning Modeling of Intraoperative Hemodynamic Predictors of Postoperative Outcomes
NCT04014010 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 35000
Last updated 2020-06-30
Summary
With population aging and limited resources, strategies to improve outcomes after surgery are ever more important. There is a limited understanding of what ranges of hemodynamic variables under anesthesia are associated with better outcomes. This retrospective cohort study will analyze how hemodynamic variables during surgeries predict mortality, morbidity, Intensive Care Unit admission, length of hospital stay, and hospital readmission. The use of machine learning in a large, broad surgery population dataset could detect new relationships and strategies that may inform current practice, and generate ideas for future research.
Conditions
- Perioperative/Postoperative Complications
- Morbidity, Multiple
- Surgery
- Anesthesia
- Death
Interventions
- OTHER
-
Blood pressure
Systolic Blood Pressure (SBP) 1. Maximum change from preoperative SBP, in a) absolute change (mmHg), and b) relative change (%)(emergency and elective cases analyzed separately) 2. Cumulative duration (minutes) \>=20% below preoperative SBP 3. Longest single episode (minutes) below a) 80, b) 90, and c)100 mmHg 4. Cumulative duration (minutes) below a) 80, b) 90, and c)100 mmHg Mean Arterial Pressure (MAP) 1. Maximum change from preoperative MAP, in a) absolute change (mmHg), and b) relative change (%) (emergency and elective cases analyzed separately) 2. Cumulative duration (minutes) \>=20% below preoperative MAP 3. Longest single episode (minutes) below a) 60, b) 65, c) 70, and d) 80mmHg 4. Cumulative duration (minutes) below a) 60, b) 65, c) 70, and d) 80mmHg
- OTHER
-
Heart rate
1. Maximum change (beats per minute, BPM) from preoperative heart rate (positive and negative) 2. Relative change (%) from preoperative heart rate (positive and negative) 3. Maximum pulse variation (maximum heart rate minus minimum heart rate) 4. Longest single episode (minutes) a) below 60, and b) above 100BPM 5. Cumulative duration (minutes) a) below 60, and b) above 100BPM
- OTHER
-
Use of hemodynamic medications (i.e. special medications for blood pressure)
1. Vasopressor/inotrope use (yes vs. no): phenylephrine, norepinephrine, epinephrine, vasopressin, dobutamine, or milrinone 2. Infusion of any vasopressor/inotropes above (yes vs. no) (identified by unit of weight over time) 3. Phenylephrine/ephedrine bolus (yes vs. no) (identified by unit of weight only) 4. Vasodilator use (yes vs. no): labetalol, esmolol, nitroglycerin, nitroprusside 5. Infusion of any vasodilator above (yes vs. no) (identified by unit of weight over time)
- OTHER
-
Oxygen saturation by pulse oximetry (SpO2)
1. Longest single episode (minutes) below a) 88, and b) 90% 2. Cumulative duration (minutes) below a) 88, and b) 90%
- OTHER
-
End-tidal Carbon dioxide (EtCO2)
1. Longest single episode (minutes) a) below 30, and b) above 45mmHg 2. Cumulative duration (minutes) a) below 30, and b) above 45mmHg
Sponsors & Collaborators
-
Dalhousie University
collaborator OTHER - collaborator OTHER
-
University of Toronto
collaborator OTHER -
University of Ottawa
collaborator OTHER -
Janny Xue Chen Ke
lead OTHER
Eligibility
- Min Age
- 45 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2013-01-01
- Primary Completion
- 2017-12-31
- Completion
- 2017-12-31
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