Predicting the need for tracheostomy in trauma patients without severe head injury.

BACKGROUND: Early tracheostomy is recommended in patients with severe traumatic brain injury (TBI); however, predicting the timing of tracheostomy in trauma patients without severe TBI can be challenging. METHODS: A one year retrospective analysis of all trauma patients who were admitted to intensive Care Unit for > 7 days was performed, using the ACS-TQIP database. Univariate and Multivariate regression analyses were performed to assess the appropriate weight of each factor in determining the eventual need for early tracheostomy. RESULTS: A total of 21,663 trauma patients who met inclusion and exclusion criteria were identified. Overall, tracheostomy was performed in 18.3% of patients. On multivariate regression analysis age >70, flail chest, major operative intervention, ventilator days >5 days and underlying COPD were independently associated with need of tracheostomy. Based on these data, we developed a scoring system to predict risk for requiring tracheostomy. CONCLUSION: Age >70, presence of flail chest, need for major operative intervention, ventilator days >5 and underlying COPD are independent predictors of need for tracheostomy in trauma patients without severe TBI.

Falling Again? Falls in Geriatric Adults-Risk Factors and Outcomes Associated With Recidivism.

BACKGROUND: The elderly population is at increased risk of fall-related readmissions (FRRs). This study is aimed to identify the factors predictive of repeat falls and to analyze the associated outcomes. METHODS: We studied the Nationwide Readmission Database for the year 2010 and identified the patients (≥65 years) who were admitted after falls, and from that subset, further analyzed patients with ≥1 FRRs. Descriptive statistics were used to analyze continuous and categorical variables. Multivariable logistic regression was used to identify predictors of readmission in geriatric patients after controlling for covariates. RESULTS: A total of 358,581 initial fall-related admissions in geriatric adults were identified, and of these, 21,713 experienced ≥1 FRRs (6.06% risk of repeat fall-related admission). Females outnumbered males, and female gender was identified as an independent predictor of FRR (OR 1.10 95% CI 1.07-1.14 P = 0.000). The other independent predictors significantly associated with FRR were age (OR 1.007, 95% CI 1.005-1.009), depression (OR 1.25, 95% CI 1.21-1.30), drug abuse (OR 1.37, 95% CI 1.15-1.63), liver disease (OR 1.25, 95% CI 1.15-1.43, P < 0.001), psychosis (OR 1.16, 95% CI 1.09-1.23), valvular heart disease (OR 1.07, 95% CI 1.02-1.12), chronic pulmonary disease (OR 1.10, 95% CI 1.06-1.13), and number of chronic conditions (OR 1.022, 95% CI 1.016-1.29). Patients admitted emergently or urgently had higher odds of FRR (OR 1.44, 95% CI 1.36-1.52). Hospital demographic was a significant predictor of FRR, as hospitals with bed number >500 was associated with lower odds (OR 0.95, 95% CI 0.92-0.98, P < 0.001). Geriatric patients admitted at nonteaching hospitals and hospitals in large metro areas (population > 1 million) had higher odds of FRR (OR 1.10, 95% CI 1.03 - 1.16) and (OR 1.10, 95% C1 1.07-1.14), respectively. With respect to discharge disposition, patients in the FRR group were less likely to go home (5.9% versus 21.0%) or with home health care (12.6% versus 18.5%), but more likely to be discharged to skilled nursing or intermediate-care facilities (64.1% versus 54.9%) and short-term hospitals (2.8% versus 1.4%). The mortality rate was higher in the FRR group but was not statistically significant (OR 1.06, 95% CI 0.99-1.14). CONCLUSIONS: Given the high burden of fall-related injuries and FRRs to patients and the health care system, it is essential to identify those who are at risk. This study provides a comprehensive list of high-risk predictors as well as the impact on patient outcomes, and hence a chance to intervene for patients with FRRs.