A subset of low-risk patients may not require ICU admission. The proposed decision rule identified low-risk children with tICH who may be observable outside an ICU, although this rule requires external validation before implementation.
Purpose Venous thromboembolism (VTE) in injured children is rare, but sequelae can be morbid and life-threatening. Recent trauma society guidelines suggesting that all children over 15 years old should receive thromboprophylaxis may result in overtreatment. We sought to evaluate the efficacy of a previously published VTE prediction algorithm and compare it to current recommendations. Methods Two institutional trauma registries were queried for all pediatric (age < 18 years) patients admitted from 2007 to 2018. Clinical data were applied to the algorithm and the area under the receiver operating characteristic (AUROC) curve was calculated to test algorithm efficacy. Results A retrospective review identified 8271 patients with 30 episodes of VTE (0.36%). The VTE prediction algorithm classified 51 (0.6%) as high risk (> 5% risk), 322 (3.9%) as moderate risk (1-5% risk) and 7898 (95.5%) as low risk (< 1% risk). AUROC was 0.93 (95% CI 0.89-0.97). In our population, prophylaxis of the 'moderate-' and 'high-risk' cohorts would outperform the sensitivity (60% vs. 53%) and specificity (96% vs. 77%) of current guidelines while anticoagulating substantially fewer patients (373 vs. 1935, p < 0.001). Conclusion A VTE prediction algorithm using clinical variables can identify injured children at risk for venous thromboembolic disease with more discrimination than current guidelines. Prospective studies are needed to investigate the validity of this model. Level of evidence III-Clinical decision rule evaluated in a single population.
Background: Clinical decision support (CDS) may improve the postneuroimaging management of children with mild traumatic brain injuries (mTBI) and intracranial injuries. While the CHIIDA score has been proposed for this purpose, a more sensitive risk model may have broader use. Consequently, this study's objectives were to: (1) develop a new risk model with improved sensitivity compared to the CHIIDA model and (2) externally validate the new model and CHIIDA model in a multicenter data set. Methods:We analyzed children ≤18 years old with mTBI and intracranial injuries included in the PECARN head injury data set (2004)(2005)(2006). We used binary recursive partitioning to predict the composite outcome of neurosurgical intervention,
OBJECTIVES: We aimed to reduce unnecessary use of high-flow nasal cannula (HFNC) at lower flow rates through the implementation of a standard daily trial off HFNC at a medium-sized academic center. METHODS: We used an interprofessional quality improvement collaboration to develop and implement interventions to reduce HFNC waste in children aged 1 month to 24 months with bronchiolitis who were admitted to the inpatient ward or ICU. Key interventions included development and implementation of the Simple Cannula/Room Air Trial for Children (SCRATCH Trial), a standard trial off HFNC for eligible infants. Process measures were selected as metrics of use of the newly developed trial. The primary outcome measure was hours of treatment with ≤8 L per minute (LPM) of HFNC. Additional outcome measures included total hours of treatment with HFNC and length of stay. RESULTS: A total of 271 patients were included in this study, 131 in the preimplementation group and 140 in the postimplementation group. The mean hours of treatment below our a priori determined waste line (≤8 LPM of HFNC) decreased from 36.3 to 16.8 hours after SCRATCH Trial implementation, and mean length of stay decreased from 4.1 to 3.0 days. CONCLUSIONS: The SCRATCH Trial was successfully implemented across hospital units, with a significant reduction in hours on ≤8 LPM of flow. Rapid discontinuation of HFNC appears feasible and may be associated with a shorter length of stay.
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