Sex differences in variables affecting short-term success in substance use disorder treatment.
Kishan DesaiVivian HagertyVarun HariharanMonica PerdomoElie LevyDeepak BerwalXimena LevyJulie Georgia PilitsisPublished in: Journal of addictive diseases (2023)
Because of the stigma surrounding patients with substance use disorder (SUD) and difficulties with follow-up, data on outcomes is limited. We explore real-world data from a prospectively collected database to determine characteristics that contribute to the completion of acute treatment. Our cohort consisted of data from 1039 patients treated at a single facility. Success was defined as successful discharge from the program. Failure was defined as relapse or signing out against medical advice during treatment. We examined 43 distinct features collected at time of treatment using multivariate analysis. In the total cohort and both sexes, longer length of stay ( p ≤ 0.01) was linked to treatment failure. When we examined the cohort by sex, variables associated with success and failure differed between groups. Among females, goal-directed thinking ( p ≤ 0.05) correlated with treatment success. Taking unnecessary risks ( p < 0.05), having a detailed suicide plan ( p ≤ 0.001), and constricted thinking ( p ≤ 0.01) predicted treatment failure. In males, prior arrest for driving under the influence ( p ≤ 0.05), and presence of phobias, paranoias, and delusions ( p ≤ 0.05) were associated with treatment failure. Identifying patients prone to acute therapy failure may guide more personalized treatment, thereby increasing success rates. When considering SUD treatments for patients, we must stratify based on patient characteristics.
Keyphrases
- end stage renal disease
- healthcare
- chronic kidney disease
- emergency department
- newly diagnosed
- ejection fraction
- machine learning
- mental health
- electronic health record
- artificial intelligence
- bone marrow
- adipose tissue
- depressive symptoms
- big data
- peritoneal dialysis
- case report
- drug induced
- cell cycle
- cell therapy
- hiv infected
- data analysis
- mechanical ventilation