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| Name | Class |
|---|---|
| Canadian Institutes of Health Research (CIHR) | OTHER_GOV |
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Knowing when to liberate patients from mechanical ventilation (i.e. removal of breathing or endotracheal tube or extubation) is critically important, as both prolonged ventilation and failed extubation are both associated with harm and risk of death. Our objective is to improve the safety of extubation by harnessing hidden information contained in the patterns of variation of heart and respiratory rate measured over intervals-in-time. Currently, to assess a patient's ability to be extubated, a spontaneous breathing trial (SBT) is routinely performed, where the level of ventilator support is reduced, and their response is observed in order to help predict if they will tolerate extubation (i.e. complete removal of ventilator support). Given that health is associated with a high degree of variation of physiologic parameters (e.g. heart and respiratory rate), and illness & stress are associated with a loss of variability, the investigators aim to uncover the loss of variation as a measure of stress during SBT's. The investigators hypothesize that maintaining stable heart rate and respiratory rate variability (HRV and RRV) throughout the SBT will predict subsequent successful extubation, and conversely, a reduction in either HRV or RRV manifest during a SBT predicts extubation failure. A pilot study has demonstrated feasibility, and compelling preliminary results. A website, centralized data storage and analysis, and a trans-disciplinary team of scientists are in place to definitively test this novel technology. Determination of when to extubate critically ill patients remains a high-stakes clinical challenge; and improved prediction of extubation failure has potential to save lives and reduce costs in critically ill patients.
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| Measure | Description | Time Frame |
|---|---|---|
| Continuous heart rate (electrocardiogram) & respiratory rate (CO2 capnography) waveforms | at time of spontaneous breathing trial (at least 48 hours after intubation and within 24 hours of extubation) |
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Inclusion Criteria:
Exclusion Criteria:
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ICU patients
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| Name | Affiliation | Role |
|---|---|---|
| Andrew Seely, MD | Ottawa Hospital Research Institute | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| The University of Michigan Medical Center | Ann Arbor | Michigan | 48109-5048 | United States | ||
| Billings Clinic |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 24713049 | Derived | Seely AJ, Bravi A, Herry C, Green G, Longtin A, Ramsay T, Fergusson D, McIntyre L, Kubelik D, Maziak DE, Ferguson N, Brown SM, Mehta S, Martin C, Rubenfeld G, Jacono FJ, Clifford G, Fazekas A, Marshall J; Canadian Critical Care Trials Group (CCCTG). Do heart and respiratory rate variability improve prediction of extubation outcomes in critically ill patients? Crit Care. 2014 Apr 8;18(2):R65. doi: 10.1186/cc13822. |
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| Billings |
| Montana |
| 59107 |
| United States |
| Dartmouth Hitchcock Memorial Hospital | Lebanon | New Hampshire | 03756 | United States |
| Columbia University | New York | New York | 10032 | United States |
| University Hospitals of Cleveland | Cleveland | Ohio | 44106 | United States |
| University of Pennsylvania | Philadelphia | Pennsylvania | 19104-6205 | United States |
| Intermountain Medical Center/University of Utah School of Medicine | Salt Lake City | Utah | 84107 | United States |
| The University of British Columbia | Vancouver | British Columbia | V6Z 1Y6 | Canada |
| London Health Sciences Centre | London | Ontario | Canada |
| The Ottawa Hospital | Ottawa | Ontario | K1H 8L6 | Canada |
| University of Ottawa Heart Institute | Ottawa | Ontario | K1Y 4W7 | Canada |
| The Ottawa Hospital-Civic Campus | Ottawa | Ontario | Canada |
| St. Michael's Hospital | Toronto | Ontario | M5B 1W8 | Canada |
| Mt Sinai | Toronto | Ontario | Canada |