Tracheostomy decannulation outcomes in 131 consecutive neurosurgical patients

Predictive Factors for Successful Decannulation in Patients with Tracheostomies and Brain Injuries: A Systematic Review

Neurological patients frequently have disorders of consciousness, swallowing disorders, or neurological states that are incompatible with extubation. Therefore, they frequently require tracheostomies during their stay in an intensive care unit. After the acute phase, tracheostomy weaning and decannulation are generally expected to promote rehabilitation. However, few reliable predictive factors (PFs) for decannulation have been identified in this patient population. We sought to identify PFs that may be used during tracheostomy weaning and decannulation in patients with brain injuries. We conducted a systematic review of the literature regarding potential PFs for decannulation; searches were performed on 16 March 2021 and 1 June 2022. The following databases were searched: MEDLINE, EMBASE, CINAHL, Scopus, Web of Science, PEDro, OPENGREY, OPENSIGLE, Science Direct, CLINICAL TRIALS and CENTRAL. We searched for all article types, except systematic reviews, meta-analyses, abstracts, and position articles. Retrieved articles were published in English or French, with no date restriction. In total, 1433 articles were identified; 26 of these were eligible for inclusion in the review. PFs for successful decannulation in patients with acquired brain injuries (ABIs) included high neurological status, traumatic brain injuries rather than stroke or anoxic brain lesions, younger age, effective swallowing, an effective cough, and the absence of pulmonary infections. Secondary PFs included early tracheostomy, supratentorial lesions, the absence of critical illness polyneuropathy/myopathy, and the absence of tracheal lesions. To our knowledge, this is the first systematic review to identify PFs for decannulation in patients with ABIs. These PFs may be used by clinicians during tracheostomy weaning.

Development and validation of a nomogram for decannulation in patients with neurological injury: A prognostic accuracy study

BACKGROUND

Tracheostomy is a lifesaving procedure provided for patients with severe neurological injury. However, there is a lack of clarity about whether patients can be decannulated within 6 months in those receiving tracheostomy and what factors can be detected as a predictor for decannulation.

OBJECTIVE

The objective of this study was to explore predictive factors of decannulation in patients with neurological injury receiving tracheostomy within 6 months and construct a novel nomogram model for clinical diagnosis and treatment.

METHODS

This retrospective observational study enrolled patients with neurological injury who were admitted to the ICU of neurosurgical department in the First Affiliated Hospital of Nanjing Medical University between January 2016 and March 2021. Patients were divided into decannulation group and cannulation group according to whether tracheostomy tube removal was performed within 6 months after tracheostomy. Multivariable logistic regression analysis was performed to determine associated risk factors with a bootstrap backward selection process. The nomogram to assess the probability of decannulation at 6 months was constructed based on the regression coefficients of the associated factors and validated by bootstrap resampling. Model performance was measured by examining discrimination (Harrell's C-index), calibration (calibration plots), and utility (Kaplan-Meier curves stratified by the tertile of the predicted probability calculated and subgroup analysis stratified by age and intervention).

RESULTS

A total of 40.1% (147/367) of patients decannulated within 6 months. Significant variables in multivariable logistic regression analysis were age (odds ratio [OR], 0.972; 95% confidence interval [CI], 0.954-0.990), National Institutes of Health Stroke Scale (NIHSS) score (OR, 0.936; 95% CI, 0.911-0.963), early rehabilitation (OR, 5.062; 95% CI, 2.889-8.868), shock (OR, 0.175; 95% CI, 0.058-0.533), and secondary surgery (OR, 0.210; 95% CI, 0.078-0.566). The area under receiver operating characteristic curve estimated with these variables was of 0.793 (95% CI, 0.747-0.838; P < 0.001). A nomogram prediction model was constructed to predict the probability of decannulation in tracheostomized patients with a concordance index of 0.788 after internal validation.

CONCLUSION

We developed a nomogram that can predict the probability of decannulation within 6 months in tracheostomized neurological injury patients. The nomogram, including age, NIHSS scores, early rehabilitation, shock, and secondary surgery, may assist clinicians in estimating patients' prognosis.