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Comparison of Adult Tracheostomy Outcomes Before and After Implementation of a Dedicated Tracheostomy Team.

OBJECTIVE: (A) Determine patient and institutional factors associated with increased length of stay (LOS) and complications of tracheostomy, (B) Develop data-driven quality improvement in tracheostomy care. DESIGN: Mixed methods protocol used cross-sectional survey assessing institutional trends in tracheostomy-specific care. Retrospective chart review compared tracheostomy patient outcomes prior to and during implementation of a multidisciplinary tracheostomy care team and standardized guidelines. PARTICIPANTS: Patients undergoing tracheostomy from January 2019 to December 2021 at a tertiary hospital. METHODS: Patient factors, procedure type and indication, tracheostomy tube size, management timeline, insurance, and disease severity using Acute Physiology and Chronic Health Evaluation II (APACHE II) score were analyzed for associations with LOS and adverse events. Multivariate analyses controlled for APACHE II score and payer source. LOS and complications were compared between patients before and during implementation of multidisciplinary tracheostomy care team and standardized guidelines. RESULTS: Three-hundred and eighteen patients met criteria with a 21.7% complication rate, average LOS of 24 days (SD&#x2009;=&#x2009;28.523), and median LOS post-tracheostomy of 14 days (IQR 7, 29). Departments without standardized protocols had greater LOS (F[1,316]&#x2009;=&#x2009;28.706, P&#x2009;<&#x2009;.001]) and complication odds (OR&#x2009;=&#x2009;2.92, P&#x2009;=&#x2009;.015, 95% CI[1.231, 6.930]). Larger tracheostomy tube size was linked to increased LOS (&#x3b2;&#x2009;=&#x2009;.253, t(314)&#x2009;=&#x2009;4.741, P&#x2009;<&#x2009;.001, 95% CI[4.137, 10.081]). Delays from ventilation discontinuation to cuffless tube exchange and decannulation correlated with increased LOS (&#x3b2;&#x2009;=&#x2009;.406, t(184)&#x2009;=&#x2009;6.321, P&#x2009;<&#x2009;.001, 95% CI[.928, 1.771]); (&#x3b2;&#x2009;=&#x2009;.554, t(129)&#x2009;=&#x2009;7.625, P&#x2009;<&#x2009;.001, 95% CI[1.008, 1.715]). When focusing on a single department, comparing 2019 patients to 2021 patients (pre- and post-guideline and care team), overall, LOS decreased from 33.08 to 30.83 days (P&#x2009;=&#x2009;.586). When excluding patients discharged on a ventilator, the 2019 group had average LOS of 37.938 days versus 33.41 days in 2021 (P&#x2009;=&#x2009;.344). CONCLUSIONS: Standardized tracheostomy care guidelines and multidisciplinary care teams are critical to improving institutional outcomes. Data-driven approaches to quality improvement ensure efficient and targeted methods to improving patient care. LEVEL OF EVIDENCE: 4.

Humans

Chronic neurological diseases with acute respiratory failure in a real-life cohort: insights into ICU and long-term survival-A retrospective study.

BACKGROUND: Patients with chronic neurological diseases (CND) are at increased risk of pulmonary complications that often require ICU admission. This study aimed to identify clinical factors associated with ICU mortality and long-term survival in patients with CND who developed acute respiratory failure (ARF). METHODS: This retrospective cohort study was conducted in a level III respiratory ICU. Patients with pre-existing CND admitted to the ICU with ARF were included. ICU mortality was analyzed using multivariable logistic regression. Long-term survival after ICU discharge was evaluated using Kaplan-Meier survival analysis and Cox proportional hazards models. Mortality timing was further characterized using hazard function analysis. RESULTS: A total of 220 patients were included; the most common neurological diagnoses were dementia (37.3%), stroke (22.7%), and amyotrophic lateral sclerosis (14.1%). ICU mortality was 33.6%. Higher APACHE II scores were independently associated with increased ICU mortality (OR 1.076 per point increase; 95% CI 1.029-1.126; p&#xa0;<&#xa0;0.001). Long-term survival differed significantly by post-discharge respiratory support strategy, with Kaplan-Meier analysis demonstrating more favorable survival patterns among patients receiving home non-invasive mechanical ventilation (NIMV) (p&#xa0;=&#xa0;0.003). In Cox regression analysis, age, home NIMV, and feeding modality at discharge were independently associated with long-term outcomes. Survival analyses revealed an early clustering of deaths within the first months after ICU discharge, particularly among patients with dementia. CONCLUSIONS: In patients with CND, acute physiological severity was the main determinant of ICU mortality, whereas long-term survival after ICU discharge was poor, with deaths clustering within the first months thereafter. Post-discharge respiratory support and nutritional management should be individualized according to the expected clinical trajectory and patient values.

Humans