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Machine Learning Prediction of Comorbid Substance Use Disorders among People with Bipolar Disorder
| Content Provider | MDPI |
|---|---|
| Author | Pablo, Guzmán Oliva, Vincenzo Prisco, Michele De Pons-Cabrera, Maria Teresa Anmella, Gerard Hidalgo-Mazzei, Diego Grande, Iria Fanelli, Giuseppe Fabbri, Chiara Serretti, Alessandro Fornaro, Michele Iasevoli, Felice de Bartolomeis, Andrea Murru, Andrea Vieta, Eduard Fico, Giovanna |
| Copyright Year | 2022 |
| Description | Substance use disorder (SUD) is a common comorbidity in individuals with bipolar disorder (BD), and it is associated with a severe course of illness, making early identification of the risk factors for SUD in BD warranted. We aimed to identify, through machine-learning models, the factors associated with different types of SUD in BD. We recruited 508 individuals with BD from a specialized unit. Lifetime SUDs were defined according to the DSM criteria. Random forest (RF) models were trained to identify the presence of (i) any (SUD) in the total sample, (ii) alcohol use disorder (AUD) in the total sample, (iii) AUD co-occurrence with at least another SUD in the total sample (AUD+SUD), and (iv) any other SUD among BD patients with AUD. Relevant variables selected by the RFs were considered as independent variables in multiple logistic regressions to predict SUDs, adjusting for relevant covariates. AUD+SUD could be predicted in BD at an individual level with a sensitivity of 75% and a specificity of 75%. The presence of AUD+SUD was positively associated with having hypomania as the first affective episode (OR = 4.34 95% CI = 1.42–13.31), and the presence of hetero-aggressive behavior (OR = 3.15 95% CI = 1.48–6.74). Machine-learning models might be useful instruments to predict the risk of SUD in BD, but their efficacy is limited when considering socio-demographic or clinical factors alone. |
| Starting Page | 3935 |
| e-ISSN | 20770383 |
| DOI | 10.3390/jcm11143935 |
| Journal | Journal of clinical medicine |
| Issue Number | 14 |
| Volume Number | 11 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-07-06 |
| Access Restriction | Open |
| Subject Keyword | Journal of clinical medicine Journal of Clinical Medicine Psychiatry and Mental Health Bipolar Disorder Substance Use Disorder Cannabis Use Disorder Alcohol Use Disorder Machine Learning |
| Content Type | Text |
| Resource Type | Article |
