Analysis of short-term ventilation weaning for patients in spontaneous supratentorial intracranial hemorrhage.
Yi-Chieh WuHsiang-Chih LiaoYu-Ching ChouPeng-Wei WangMing-Hsuan ChungWei-Hsiu LiuPublished in: Medicine (2024)
Prolonged ventilation is a complication of spontaneous supratentorial hemorrhage patients, but the predictive relationship with successful weaning in this patient cohort is not understood. Here, we evaluate the incidence and factors of ventilation weaning in case of spontaneous supratentorial hemorrhage. We retrospectively studied data from 166 patients in the same hospital from January 2015 to March 2021 and analyzed factors for ventilation weaning. The clinical data recorded included patient age, gender, timing of operation, initial Glasgow Coma Scale (GCS), Intracranial hemorrhage (ICH) score, alcohol drinking, cigarette smoking, medical comorbidity, and the blood data. Predictors of patient outcomes were determined by the Student t test, chi-square test, and logistic regression. We recruited and followed 166 patients who received operation for spontaneous supratentorial hemorrhage with cerebral herniation. The group of successful weaning had 84 patients and the group of weaning failed had 82 patients. The patient's age, type of operation, GCS on admission to the Intensive care unit (ICU), GCS at discharge from the ICU, medical comorbidity was significantly associated with successful weaning, according to Student t test and the chi-square test. According to our findings, patients with stereotaxic surgery, less history of cardiovascular or prior cerebral infarction, GCS >8 before admission to the hospital for craniotomy, and a blood albumin value >3.5 g/dL have a higher chance of being successfully weaned off the ventilator within 14 days.
Keyphrases
- mechanical ventilation
- end stage renal disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- healthcare
- emergency department
- peritoneal dialysis
- risk factors
- acute respiratory distress syndrome
- electronic health record
- extracorporeal membrane oxygenation
- mental health
- big data
- deep learning
- data analysis
- adverse drug