Critical Illness Clinical Trial
Official title:
Cardiopulmonary Monitoring, Skin Conductance and Variability Analysis During Weaning and Extubation in Critically Ill Patients
For critically ill patients, it is important to know when to liberate them from mechanical
ventilation (the removal of breathing or endotracheal tube or extubation) and weaning (the
progressive decrease of the amount of support that a patient receives from the mechanical
ventilation). It is well recognized that prolonged ventilation and weaning harms patients and
introduces significant increased costs to the health care system. The investigators objective
is to improve the safety of removal of life support in critically ill patients by harnessing
information from two new technologies; NM3 and Nexus device. In particular, the investigators
are interested in the patterns of variation of respiratory and cardiac signals from the NM3
device, as well as monitor skin conductance with the Nexus device. The combination of these
measures has not yet been investigated to date, and could represent a novel set of measures
that can be used to help physicians better manage critically ill patients. The current
standard of care dictates that once a patient is considered as a candidate for withdrawal
from ventilation, a spontaneous breathing trial (SBTs) is performed, where the degree of
ventilator support is decreased, and their response is observed to help predict if they will
tolerate extubation.
Health is associated with a high degree of variation of physiologic parameters such as heart
rate and respiratory rate, and illness & stress are associated with a loss of variability.
The analysis of variability of biological signals measures the degree of fluctuations present
over time. Previous studies have demonstrated that changes in variability (generally
decreases) are observed in illness states, and the degree of this change correlates with
illness severity. Several studies have reported that reduced heart or respiratory rate
variability (HRV or RRV) during SBTs is associated with extubation failure. Until recently,
variability analysis has traditionally been done only on heart rate (HRV), derived from
analyzing beat-to-beat intervals from the ubiquitous electrocardiogram (ECG). The
investigators aim to apply variability analysis to the respiratory and cardiac signals which
represent a rich novel set of muti-organ variability measures whose utility in managing
extubation and ventilator weaning has not been investigated to date.
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