Treatment Options for the Cardinal Symptoms of Disruptive Mood Dysregulation Disorder.
Bibliographic record
Abstract
OBJECTIVE: DSM-5 has added a new developmentally appropriate child and adolescent mood disorder subtype called disruptive mood dysregulation disorder (DMDD). The core features of DMDD are temper outbursts (manifested by either verbal rages and/or physical aggression) and unrelenting irritability or anger. Currently, the literature is lacking a thorough review of the possible treatment options for the cardinal symptoms constituting DMDD. The objective of this article is to provide a thorough review of peer-reviewed studies on the subject of pharmacological treatment options for children and adolescents with the cardinal symptoms of DMDD. METHODS: Relevant articles for this study were obtained through Pubmed, Medline, PsychINFO and PsychINDEXplus using the key words: "adolescents," "children," "paediatric," "youth," "irritability," "temper outbursts," "aggression," "rage," "disruptive behaviour," "treatment," "dysphoria," "autism," "mental retardation/intellectual disability," "impulsivity," "ADHD," "oppositional defiant disorder," and "conduct disorder." A total of 823 studies were generated; only English studies focusing on pharmacological treatment were retained. RESULTS: Currently there are no established guidelines or thorough reviews summarizing the treatment of DMDD. Pharmacotherapeutic treatment options of both aggression and chronic irritability include: antidepressants/selective norepinephrine reuptake inhibitors, mood stabilizers, psychostimulants, antipsychotics, and alpha-2 agonists. CONCLUSION: Treatment options of severe, persistent irritability in youth are numerous, and a consensual treatment algorithm has not yet emerged from the literature. Further studies and clinical trials are warranted to determine efficacious and safe treatment modalities.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".