Patient and medication-related factors associated with opioid use disorder after inpatient opioid administration.

BACKGROUND: Examine baseline factors associated with a new diagnosis of opioid use disorder (OUD) within 12 months postdischarge among opioid-naïve patients who received an opioid prescription in the inpatient setting. DESIGN/SETTING: Retrospective cohort (surgery and nonsurgery) study of opioid-naive patients who had at least one prescription for an opioid during an inpatient hospitalist between 2014 and 2017. PARTICIPANTS: Twenty-three thousand and thirty-three patients were included. OBJECTIVE: The primary objective was to determine baseline factors associated with a new OUD diagnosis within 12 months of discharge. Baseline covariates included demographic information, clinical characteristics, medication use, characteristics related to index hospital encounter, and discharge location. FINDINGS: 2.1% of the sample had a new diagnosis of OUD within a year after receiving an opioid during hospital admission. Patients between ages 25 and 34 had higher odds of a new OUD diagnosis compared to those 65 years of age and older (odds ratio [OR]: 6.98, 95% confidence interval [CI]: 4.02-12.1 [nonsurgery] and 4.69, 95% CI: 2.63-8.37 [surgery]). Patients from a high opioid geo-rank region had higher odds of OUD diagnosis (OR: 2.08, 95% CI: 1.31-3.31 [nonsurgery] and 1.80, 95% CI: 1.03-3.15 [surgery]). History of nonopioid-related drug disorder, tobacco use disorder, mental health conditions, and gabapentin use 12 months prior to index date and white race were associated with higher odds of new OUD diagnosis. CONCLUSIONS: It is important to identify and evaluate factors associated with developing a new diagnosis of OUD following hospitalization. This can inform pain management strategies within the hospital and at discharge, and prompt clinicians to screen for risk of OUD.

Objective colour analysis from digital images as a nuclear forensic tool.

A digital colour image may be composed of hundreds of thousands of pixels, every pixel exhibiting a single colour. Each colour can be described as a combination of red, green and blue (RGB) components, of discrete values between 0-255. The RGB data contained within the pixels of an image could, therefore, be used to quantitatively establish the colour of nuclear material powders from digital images, particularly for use in nuclear forensics applications, where there is a need for consistent, objective analysis. This paper sets out a standard method for the photography and analysis of digital images of uranium oxide powder, for the objective quantification of colour by mean RGB values. Eight heat treated (up to 550°C) powder samples of studtite ([(UO2)(O2)(H2O)2]·2H2O) were photographed at room temperature and analysed by the RGB method. Hue, saturation and value of the coloured samples were obtained alongside mean RGB values, both of which were used to successfully determine the heating temperatures of unknown specimens of studtite.