Neurocritical care is the intensive care management of patients with life-threatening neurological and neurosurgical illnesses such as ischemic stroke, intracerebral hemorrhage, subarachnoid hemorrhage, and brain trauma. Following surgery for these diseases, patients require ventilator support. Cautious management of mechanical ventilation is required to avoid secondary injury from hypoxemia, hypo-or hypercarbia, or decreases in cerebral perfusion pressure. When the intracranial conditions get resolved, weaning process starts. Delayed weaning can lead to complications such as ventilator induced lung injury, ventilator associated pneumonia, and delayed rehabilitation. On the other hand, premature weaning can lead to complications like loss of the airway, aspiration and respiratory muscle fatigue, resulting in reintubation. Weaning protocol and parameters differs in different hospitals. Neurocritcal patients usually experience higher reintubation rate and prolonged mechanical ventilation.In this study, we plan to analyze factors associated with reintubation and prolonged mechanical ventilation using logistic regression and data mining analysis. Data, including consciousness, past history, lab data, and weaning parameters, of neurocritical patients who used mechanical ventilation for more than 48 hours will be collected. Predictive models will be built for reintubation and prolonged mechanical ventilation.
data mining； logistic regression； outcome； stroke； traumatic brain injury