Context: Opioid-induced neurotoxicity (OIN) is an underdiagnosed yet distressing symptom in palliative care patients receiving opioids. However, there have been only a limited number of studies on OIN. Objectives: Our aim was to determine the frequency of and risk factors for OIN in patients receiving opioids during inpatient palliative care. Methods: We randomly selected 390 of 3014 eligible patients who had undergone palliative care consultations from January 2014 to December 2014. Delirium, drowsiness, hallucinations, myoclonus, seizures, and hyperalgesia were defined as OIN and were recorded. The other 10 common symptoms in cancer patients were assessed using the Edmonton Symptom Assessment Scale (ESAS). Patient demographics, morphine equivalent daily dose (MEDD), comorbidities, OIN management, and overall survival (OS) duration were also assessed. The associations between the incidence of OIN and MEDD, the other 10 symptoms, and OS were analyzed. Results: Fifty-seven (15%) patients had OIN. The most common symptom was delirium (n = 27). On multivariate analysis, a high MEDD (p = 0.020), high ESAS pain score (p = 0.043), drowsiness (p = 0.007), and a poor appetite (p = 0.014) were significantly associated with OIN. OIN was not significantly associated with a shorter OS duration (p = 0.80). Conclusions: OIN was seen in 15% of patients receiving opioids as part of inpatient palliative care. Although OIN was not associated with OS, routine monitoring is especially needed in cancer patients.

Background-Although acute neurologic impairment might be transient, other long-term effects can be observed with mild traumatic brain injury. However, when pediatric patients with mild traumatic brain injury present for medical care, conventional imaging with CT and MR imaging often does not reveal abnormalities.Objective-To determine whether edge density imaging can separate pediatric mild traumatic brain injury from typically developing controls.Materials and methods-Subjects were recruited as part of the "Therapeutic Resources for Attention Improvement using Neuroimaging in Traumatic Brain Injury" (TRAIN-TBI) study. We included 24 adolescents (χ=14.1 years of age, σ=1.6 years, range 10-16 years), 14 with mild traumatic brain injury (TBI) and 10 typically developing controls. Neurocognitive assessments included the pediatric version of the California Verbal Learning Test (CVLT) and the Attention Network Task (ANT). Diffusion MR imaging was acquired on a 3-tesla (T) scanner. Edge density images were computed utilizing fiber tractography. Principal component analysis (PCA) and support vector machines (SVM) were used in an exploratory analysis to separate mild TBI and control groups. The diagnostic accuracy of edge density imaging, neurocognitive tests, and fractional anisotropy (FA) from diffusion tensor imaging (DTI) was computed with two-sample ttests and receiver operating characteristic (ROC) metrics.Results-Support vector machine-principal component analysis of edge density imaging maps identified three white matter regions distinguishing pediatric mild TBI from controls. The bilateral tapetum, sagittal stratum, and callosal splenium identified mild TBI subjects with sensitivity of Terms of use and reuse: academic research for non-commercial purposes, see here for full terms. http://www.springer.com/gb/openaccess/authors-rights/aam-terms-v1

PURPOSE: An understanding of opioid prescription and cost patterns is important to optimize pain management for patients with advanced cancer. This study aimed to determine opioid prescription and cost patterns and to identify opioid prescription predictors in patients with advanced cancer who received inpatient palliative care (IPC). MATERIALS AND METHODS: We reviewed data from 807 consecutive patients with cancer who received IPC in each October from 2008 through 2014. Patient characteristics; opioid types; morphine equivalent daily dose (MEDD) in milligrams per day of scheduled opioids before, during, and after hospitalization; and in-admission opioid cost per patient were assessed. We determined symptom changes between baseline and follow-up palliative care visits and the in-admission opioid prescription predictors. RESULTS: A total of 714 (88%) of the 807 patients were evaluable. The median MEDD per patient decreased from 150 mg/d in 2008 to 83 mg/d in 2014 ( P < .001). The median opioid cost per patient decreased and then increased from $22.97 to $40.35 over the 7 years ( P = .03). The median MEDDs increased from IPC to discharge by 67% ( P < .001). The median Edmonton Symptom Assessment Scale pain improvement at follow-up was 1 ( P < .001). Younger patients with advanced cancer (odds ratio [OR[, 0.95; P < . 001) were prescribed higher preadmission MEDDs (OR, 1.01; P < .001) more often in the earlier study years (2014 v 2009: OR, 0.18 [ P = .004] v 0.30 [ P = .02]) and tended to use high MEDDs (> 75 mg/d) during hospitalization. CONCLUSION: The MEDD per person decreased from 2008 to 2014. The opioid cost per patient decreased from 2008 to 2011 and then increased from 2012 to 2014. Age, prescription year, and preadmission opioid doses were significantly associated with opioid doses prescribed to patients with advanced cancer who received IPC.

No abstract