Copy number alterations identify a smoking-associated expression signature predictive of poor outcome in head and neck squamous cell carcinoma.

Cigarette smoking is a risk factor for the development of head and neck squamous cell carcinoma (HNSCC), partially due to tobacco-induced large-scale chromosomal copy-number alterations (CNAs). Identifying CNAs caused by smoking is essential in determining how gene expression from such regions impact tumor progression and patient outcome. We utilized The Cancer Genome Atlas (TCGA) whole genome sequencing data for HNSCC to directly identify amplified or deleted genes correlating with smoking pack-year based on linear modeling. Internal cross-validation identified 35 CNAs that significantly correlated with patient smoking, independent of human papillomavirus (HPV) status. The most abundant CNAs were chromosome 11q13.3-q14.4 amplification and 9p23.1/9p24.1 deletion. Evaluation of patient amplicons reveals four different patterns of 11q13 gene amplification in HNSCC resulting from breakage-fusion-bridge (BFB) events. . Predictive modeling identified 16 genes from these regions that denote poorer overall and disease-free survival with increased pack-year use, constituting a smoking-associated expression signature (SAES). Patients with altered expression of signature genes have increased risk of death and enhanced cervical lymph node involvement. The identified SAES can be utilized as a novel predictor of increased disease aggressiveness and poor outcome in smoking-associated HNSCC.

Early Neurologic Recovery, Practice Pattern Variation, and the Risk of Endotracheal Intubation Following Established Status Epilepticus.

OBJECTIVE: To quantify the association between early neurologic recovery, practice pattern variation, and endotracheal intubation during established status epilepticus, we performed a secondary analysis within the cohort of patients enrolled in the Established Status Epilepticus Treatment Trial (ESETT). METHODS: We evaluated factors associated with the endpoint of endotracheal intubation occurring within 120 minutes of ESETT study drug initiation. We defined a blocked, stepwise multivariate regression, examining 4 phases during status epilepticus management: (1) baseline characteristics, (2) acute treatment, (3) 20-minute neurologic recovery, and (4) 60-minute recovery, including seizure cessation and improving responsiveness. RESULTS: Of 478 patients, 117 (24.5%) were intubated within 120 minutes. Among high-enrolling sites, intubation rates ranged from 4% to 32% at pediatric sites and 19% to 39% at adult sites. Baseline characteristics, including seizure precipitant, benzodiazepine dosing, and admission vital signs, provided limited discrimination for predicting intubation (area under the curve [AUC] 0.63). However, treatment at sites with an intubation rate in the highest (vs lowest) quartile strongly predicted endotracheal intubation independently of other treatment variables (adjusted odds ratio [aOR] 8.12, 95% confidence interval [CI] 3.08-21.4, model AUC 0.70). Site-specific variation was the factor most strongly associated with endotracheal intubation after adjustment for 20-minute (aOR 23.4, 95% CI 6.99-78.3, model AUC 0.88) and 60-minute (aOR 14.7, 95% CI 3.20-67.5, model AUC 0.98) neurologic recovery. CONCLUSIONS: Endotracheal intubation after established status epilepticus is strongly associated with site-specific practice pattern variation, independently of baseline characteristics, and early neurologic recovery and should not alone serve as a clinical trial endpoint in established status epilepticus. TRIAL REGISTRATION INFORMATION: ClinicalTrials.gov Identifier: NCT01960075.

Student and faculty perceptions: appropriate consequences of lapses in academic integrity in health sciences education.

BACKGROUND: A breadth of evidence supports that academic dishonesty is prevalent among higher education students, including students in health sciences educational programs. Research suggest individuals who engage in academic dishonesty may continue to exhibit unethical behaviors in professional practice. Thus, it is imperative to appropriately address lapses in academic dishonesty among health sciences students to ensure the future safety of patients. However, students and faculty have varying perceptions of what constitutes academic dishonesty and the seriousness of breaches in academic dishonesty. The purpose of this study is to gain health sciences faculty and students' perceptions on the appropriate consequences of lapses in academic integrity. METHODS: Faculty and students from different health care disciplines were asked to complete the anonymous survey in which 10 different academic (non-clinical) and clinical scenarios were presented. For each scenario, students or faculty needed to address their concern and assign an academic consequence that they considered appropriate (ranked from no consequence to dismissal). A mixed-effects model was used to assess the difference of questionnaire scores between subgroups. The study was completed in the Spring of 2017. RESULTS: A total of 185 faculty and 295 students completed the electronic survey. Across all survey questions (clinical and non-clinical), the perceived severity of the behavior predicted the consequence chosen by the respondent, indicating that both faculty and students assigned what they felt to be appropriate consequences directly based on their values and perceptions. Both faculty and students show congruence in their opinions regarding the perceived seriousness of clinical cases (p = 0.220) and the recommended consequences assigned to such lapses (p = 0.110). However, faculty and students statistically significantly disagreed in their perception of the severity of non-clinical academic dishonesty scenarios and recommended consequences (p < 0.001). CONCLUSIONS: Our research supports the need for collaborative work between faculty and students in putting forth clear guidelines on how to manage and uphold rules related to lapses in academic integrity not only for non-clinical situations, but especially for clinical ones in a health care setting. Recommendations from this research include using an honor code utilized in clinical settings.