Digital phenotyping from wearables using AI characterizes psychiatric disorders and identifies genetic associations.

Psychiatric disorders are influenced by genetic and environmental factors. However, their study is hindered by limitations on precisely characterizing human behavior. New technologies such as wearable sensors show promise in surmounting these limitations in that they measure heterogeneous behavior in a quantitative and unbiased fashion.

2019 EULAR/ACR classification criteria for SLE score predicts future lupus hospital admission and costs.

Objective: To test the ability of the 2019 EULAR/ACR Classification Criteria for SLE score to predict lupus related hospitalization and overall cost of hospitalization.

Methods: 217 University of Kentucky patient records that met our preliminary inclusion criteria, 44 patients were selected by a random number generator algorithm for a thorough chart review to collect data needed for calculation of the 2019 EULAR/ACR Classification Criteria for SLE score. Total hospitalization cost was calculated by using hospital adjusted expenses per inpatient day data, which estimates the expense incurred by the hospital to provide services and thus removes the variability of charges and reimbursements introduced by insurance type.

Assessing the completeness of patient-reported outcomes reporting in congestive heart failure clinical trials.

Objective: We aim to evaluate the quality of patient-reported outcomes included in randomized control trials for the treatment of congestive heart failure using the International Society for Quality of Life Research (ISOQOL) checklist, a validated tool for critically appraising the quality of patient-reported outcomes.

Design: We performed a cross-sectional analysis of 65 randomized control trials with patient-reported outcomes for drug intervention trials for treating congestive heart failure.

Setting: N/A.

Gender Differences in Alcohol Use Disorder Trends from 2009-2019: An Intersectional Analysis.

Background: Trend estimates from national surveys over the last 20 years have suggested converging rates of alcohol use over time between adult men and women. However, limited research has utilized an intersectional lens to examine how sociodemographic characteristics influence gender differences in these trends.

Methods: The current study used data from the National Survey on Drug Use and Health (NSDUH) to examine whether gender intersected with race/ethnicity, age, education level, marital status, employment status, household income, and urbanicity on temporal trends (2009-2019) in alcohol use disorder (AUD).

Alcohol use and cannabis craving in daily life: Sex differences and associations among young adults.

Background: Alcohol and cannabis are commonly used together by young adults. With frequent pairings, use of one substance may become a conditioned cue for use of a second, commonly co-used substance. Although this has been examined for alcohol and cannabis in laboratory conditions and with remote monitoring, no research has examined whether pharmacologically induced cross-substance craving occurs in naturalistic conditions.