Testosterone Therapy is Associated with Depression, Suicidality, and Intentional Self-Harm: Analysis of a National Federated Database
Notice bibliographique
Résumé
BACKGROUND: Long-term use of testosterone can be associated with mood destabilizing effects. Most studies investigating psychiatric complications of anabolic steroids have used small samples, but a comprehensive assessment of the risk of developing mental health disorders after testosterone use has not been performed at the population level. AIM: To determine whether testosterone therapy is associated with major depressive disorder or suicide attempts in men. METHODS: We conducted a retrospective cohort study of 70.3 million electronic health records collected from 46 healthcare organizations encompassing flagship hospitals, satellite hospitals, and outpatient clinics since 2008 to determine whether testosterone use is associated with major depressive disorder and suicide attempts in a large population. We included men 18 or older who either used testosterone or did not, defined by reported use, insurance claim, or prescription use of testosterone documented in the electronic health record. We propensity-score matched by age, race, ethnicity, obesity, and alcohol-related disorder. Additionally, a sub-group analysis was performed in testosterone deficient (<300 ng/dL) men comparing those with TD on testosterone therapy to a control group of men with TD who are not using testosterone. OUTCOMES: We determined measures of association with a new diagnosis of major depressive disorder and suicide attempt or intentional self-harm following testosterone use within 5 years. RESULTS: A total of 263,579 men who used testosterone and 17,838,316 men who did not were included in the analysis. Testosterone use was independently associated with both Major Depressive Disorder (OR 1.99, 95% CI 1.94-2.04, P < .0001) and Suicide Attempt/Intentional Self-Harm (OR 1.52, 95% CI 1.40-1.65, P < .0001). Results remained significant in testosterone deficient sub-group analysis. CLINICAL IMPLICATIONS: Men who use testosterone should be screened for and counseled about risks of depression and suicidality. STRENGTHS AND LIMITATIONS: Strengths of this study include a large sample size, the ability to account for chronology of diagnoses, the use of propensity score matching to control for potentially confounding variables, and the consistency of results with sub-group analyses. Limitations include the potential for incorrect coding within the electronic health record, a lack of granular information regarding testosterone therapy adherence, the possibility that unrecorded testosterone or anabolic steroid use were prevalent but not captured within the control group, and a lack of data regarding testosterone withdrawal. CONCLUSION: Testosterone use is independently associated with new-onset mental health disorders. Future studies are necessary to elucidate the role that androgen withdrawal plays and whether a causal relationship exists. Nackeeran S, Patel MS, Nallakumar DT, et al. Testosterone Therapy is Associated With Depression, Suicidality, and Intentional Self-Harm: Analysis of a National Federated Database. J Sex Med 2022;19:933-939.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,005 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».