Background Androgen deprivation therapy (ADT) remains a standard of care in metastatic prostate cancer. Recent prospective trials have explored addition of chemotherapy to ADT. We retrospectively examined overall survival in metastatic prostate cancer patients treated with ADT, chemotherapy plus ADT (C + ADT), or observation from 2004 to 2010 using National Cancer Database data. Methods Using the National Cancer Database, 21,977 patients with metastatic prostate cancer diagnosed from 2004 to 2010 were identified. Multivariate logistic regression, Kaplan-Meier survival analysis and Cox proportional hazards regression modeling were implemented, with overall survival as the primary endpoint. Results Five-year overall survival was 13.6% in patients aged ≥ 75 years vs. 30.1% (age 65–74) and 34.5% (age 18–64). Subgroup analysis of age-based cohorts (<65 and ≥65 years) showed poor overall survival for C + ADT vs. ADT alone, both in younger (HR 1.35, 95% CI 1.21–1.50; p < 0.0001) as well as older (HR 1.21, 95% CI 1.08–1.34; p = 0.0006) populations. Younger patients had no significant difference in overall survival for observation vs. ADT (HR 0.99, 95% CI 0.92–1.08; p = 0.9121). Besides age, other factors impacting overall survival included race, rural/urban settings, comorbidity score, income, PSA and radiation. Discussion Younger patients had no significant difference in overall survival between observation or ADT. This implies a group of younger patients in whom ADT does not confer any overall survival benefit. Future clinical trials with genetic and biologic markers are needed to delineate which subgroups would not benefit from C + ADT or ADT alone. This is of utmost clinical importance given the negative impact of ADT on quality of life and comorbidities.

In current anesthesiology practice, anesthesiologists infer the state of unconsciousness without directly monitoring the brain. Drug- and patient-specific electroencephalographic (EEG) signatures of anesthesia-induced unconsciousness have been identified previously. We applied machine learning approaches to construct classification models for real-time tracking of unconscious state during anesthesia-induced unconsciousness. We used cross-validation to select and train the best performing models using 33,159 2s segments of EEG data recorded from 7 healthy volunteers who received increasing infusions of propofol while responding to stimuli to directly assess unconsciousness. Cross-validated models of unconsciousness performed very well when tested on 13,929 2s EEG segments from 3 left-out volunteers collected under the same conditions (median volunteer AUCs 0.99-0.99). Models showed strong generalization when tested on a cohort of 27 surgical patients receiving solely propofol collected in a separate clinical dataset under different circumstances and using different hardware (median patient AUCs 0.95—0.98), with model predictions corresponding with actions taken by the anesthesiologist during the cases. Performance was also strong for 17 patients receiving sevoflurane (alone or in addition to propofol) (median AUCs 0.88—0.92). These results indicate that EEG spectral features can predict unconsciousness, even when tested on a different anesthetic that acts with a similar neural mechanism. With high performance predictions of unconsciousness, we can accurately monitor anesthetic state, and this approach may be used to engineer infusion pumps to intelligibly respond to patients’ neural activity.

Posterior dislocation of the clavicle in the sternoclavicular joint is rare, but can result in severe complications caused by secondary damage to the adjacent structures on relocation. We present a case of a 12-year-old boy who sustained a dislocated clavicle while playing football. Against the initial request to perform immediate relocation, we opted for further computed tomography evaluation of the dislocation, which demonstrated compression of the left common carotid artery by the clavicle. Since there was no cardiothoracic standby available in our hospital on that day, the patient was transferred to the nearest centre with cardiothoracic facilities where the relocation of the clavicle was performed uneventfully. However, to avoid the potential for major complications, the risk of secondary damage to the central vessels must be kept in mind in this type of injury and adequate precautions must be in place.