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Enregistrement W2255700423 · doi:10.1093/pch/21.1.13

Case 3: Regression in an adolescent with autism spectrum disorder

2016· article· en· W2255700423 sur OpenAlexaff
Sharon Smile

Notice bibliographique

RevuePaediatrics & Child Health · 2016
Typearticle
Langueen
DomainePsychology
ThématiqueObsessive-Compulsive Spectrum Disorders
Établissements canadiensHolland Bloorview Kids Rehabilitation Hospital
Organismes subventionnairesnon disponible
Mots-clésAutism spectrum disorderRegressionAutismPsychologyClinical psychologyRegression analysisMedicinePsychiatryPediatricsStatisticsMathematicsPsychotherapist

Résumé

récupéré en direct d'OpenAlex

A 12-year-old boy with autism spectrum disorder (ASD), moderate intellectual disability and seizures initially exhibited symptoms of hyperactivity, irritability and obsessive behaviour. He was managed with 7.5 mg methylphenidate orally three times per day, 0.5 mg risperidone orally two times per day and 350 mg valproic acid orally two times per day with good initial response. He subsequently exhibited sudden onset of negative self-talk and crying episodes with no identifiable triggers. Over the following six months, he gradually developed urinary incontinence, slowing of motor function and decreased speech. He required verbal and physical prompts to complete a task; however, his symptoms of anxiety, hyperactivity and irritability abated. There was no history of illness or stressful life events. Clinically, he was mute and exhibited posturing movements. On physical examination, no neurological deficits or autonomic dysfunction were identified. Investigations, including an ophthalmological examination for Kayser-Fleisher rings, electroencephalogram, urine culture, complete blood count, thyroid, liver and renal function tests, ceruloplasmin and vitamin B12 levels, were normal. A drug screen only revealed risperidone and valproic acid metabolites. A trial of 2 mg lorazepam was ineffective. His medications were then weaned and discontinued, and his diagnosis became clear. Initially the patient had waxy flexibility (slight resistance to positioning by the examiner), echopraxia (imitation of examiners’ movement) and experienced freezing while eating, walking and toileting. Discontinuation of his antipsychotic and stimulant medication resulted in a slow resolution of his catatonic symptoms. His findings were consistent with catatonia in ASD, although waxy flexibility is uncommon in the ASD population. Catatonia is a clinical psychiatric presentation that may be acute or surreptitious in development. There are no biological markers for catatonia. Its presentation in ASD is ambiguous due to overlapping symptomatology and nosology. Catatonia is typified by the presence of ≥3 of the following manifestations: stupor; catalepsy; waxy flexibility; mutism; negativism; posturing; mannerism; stereotypy; agitation; grimacing; and echopraxia (1). Reported clinical presentation of catatonia in the context of ASD includes regression in motor or speech skills (2). The prevalence of catatonia among youth and adults with ASD has been reported to be as high as 17%, which is greater than the 0.6% to 10% reported in the non-ASD psychiatric population (2,3). However, selection bias and retrospective study designs make the true prevalence rate unclear. Presentation of catatonia is most common between 10 and 19 years of age; in 50% of subjects, catatonia is preceded by behavioural disturbance, such as aggression, and 43% experience some emotional event. Catatonia is characterized not only by the number of symptoms but in the substantial deterioration in clinical presentation and function from baseline. The etiology of catatonia is believed to involve neurochemical pathways involving dopamine blockade, glutamate hyperactivity and relative gamma-amino butyric acid (GABA) deficit. GABA acts inversely with glutamate and, when there is an excess of glutamate, GABA will suppress its release. This gives credence to the effectiveness of benzodiazepine (GABA agonist) in its management (4). Genetic linkage studies have shown potential association with ASD, catatonia and GABA receptors on chromosome 15q (5). Catatonia is associated with antipsychotic medications and other dopamine modulators. With the increased use of pharmacotherapy in the ASD population to manage irritability, it is imperative for physicians to recognize the presentation of catatonia and initiate management swiftly. Catatonia can be acute in onset, such as in the associated autonomic dysfunction ‘malignant catatonia’, which should be considered a medical emergency because it is associated with a 10% to 20% mortality rate (6). There are no ASD-specific rating scales for the assessment of catatonia. The first-line management of catatonia is to discontinue precipitants such as antipsychotics. Historically, benzodiazepines, mainly lorazepam, are used as first-line pharmacotherapy for the management of catatonia in ASD. There are no randomized controlled trials evaluating pharmacotherapy options in this population. Management is based on data from case reports/series. A trial of 1 mg to 2 mg lorazepam orally or parentally is recommended. If there is improvement in catatonic symptoms, one should consider increasing the lorazepam dose. A maximum dose of 24 mg per day has been reported (7). Improvement is anticipated within one to two weeks. Long-term therapy for up to 12 months has been suggested with a tapering regimen. Electroconvulsive therapy is usually indicated for severe catatonia in adults; however, its true efficacy and effectiveness to treat catatonia in ASD is unknown. Current evidence for its use is limited to case reports. With the increased prevalence of ASD and use of antipsychotic medication among this population, recognition of catatonia and prompt management is essential. A team approach is recommended. Catatonia in ASD commonly presents during adolescence with regression of motor and speech skills. The potential cause is an imbalance in glutamate (high) and dopamine (low) and, therefore, discontinuation of antipsychotics and initiation of benzodiazepines is recommended. Consider autoimmune, infectious, recreational drug exposure and metabolic etiologies when encountering this presentation.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,009
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Étude de cas · Signal consensuel: Étude de cas
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,015
Score d'incertitude au seuil0,028

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,009
Méta-épidémiologie (sens strict)0,0030,002
Méta-épidémiologie (sens large)0,0020,003
Bibliométrie0,0050,002
Études des sciences et des technologies0,0060,003
Communication savante0,0030,002
Science ouverte0,0040,004
Intégrité de la recherche0,0150,011
Charge utile insuffisante (le modèle a refusé de juger)0,0050,002

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.

Tête enseignante Opus0,013
Tête enseignante GPT0,299
Écart entre enseignants0,287 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeÉtude de cas
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations7
Publié2016
Routes d'admission1
Résumé présentnon

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