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Enregistrement W84408858

A case of adolescent catatonia.

2010· article· fr· W84408858 sur OpenAlexaff
Jonathan A Brake, Sabina Abidi

Notice bibliographique

RevuePubMed · 2010
Typearticle
Languefr
DomaineMedicine
ThématiqueElectroconvulsive Therapy Studies
Établissements canadiensDalhousie University
Organismes subventionnairesnon disponible
Mots-clésCatatoniaPsychologyEtiologyPsychiatryPsychotherapistPsychoanalysis
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Catatonia is a motor dysregulation syndrome in which patients lose the ability to move normally despite having the full physical capacity to do so. It is a syndrome, a cluster of symptoms, and in itself is not a diagnosis. The syndrome was first described by the German psychiatrist, Karl Kahlbaum, in 1874 in his monograph, Die Katatonie oder das Spannungsirresein (Kahlbaum, 1874). Kahlbaum reported twenty-six cases of what he called tension insanity, of various etiologies. Its recognition in the following years rose dramatically in psychiatric populations, with prevalence estimates between 6% and 38% (Fink & Taylor, 2003). Its identification rose to such extents that Emil Kraepelin’s notion of dementia praecox considered catatonia to be a hallmark of the disorder. Others, such as Kleist, Wernicke, and Leonhard, noted catatonic features in patients with affective disorders (Shorter, 1997). As a syndrome, there are a number of cardinal features which have been described (Fink & Taylor, 2003). Mutism refers to verbal unresponsiveness; alternatively, echolalia (repetition of the sounds and words produced by others) may also occur. Patients may also imitate physical gestures (echopraxia). Negativism refers to the process of actively resisting any efforts to be moved or failure to obey requests or commands; this process is involuntary. Conversely, patients may demonstrate automatic obedience, the inability to resist following commands. Other patients demonstrate waxy flexibility (cerea flexibilitas), allowing their limbs to be molded at the examiner’s will. Patients may exhibit catalepsy, maintaining abnormal and peculiar postures for an extended period of time; prior to the advent of adequate treatment, some patients would maintain these postures for days or months. Patients may also demonstrate stereotypies (purposeless, repetitive motor behavior) and mannerisms (odd, purposeful or exaggerated movements). A wide variety of causes of catatonia have been reported (Takaoka & Takata, 2003). Psychiatric conditions, including schizophrenia, bipolar disorder, post-traumatic stress disorder, eating disorders, and depressive disorders have been associated with catatonia. Medical causes such as autoimmune disorders, paraneoplastic syndromes, and metabolic disturbances have also been identified. Catatonia also occurs in a variety of neurological conditions including encephalitis, stroke, and seizure disorders. Catatonia has been associated with ecstasy, phencyclidine, inhalant, steroid, and neuroleptic use, as well as the abrupt withdrawal of benzodiazepines. A number of subtypes of catatonia have been described (Fink & Taylor, 2003). Kahlbaum’s instrumental role in delineating the entity led to a specific form of retarded catatonia (with rigidity, inhibition of movement, abnormal posturing, mutism, and failure to respond to painful stimuli) to be called Kahlbaum’s syndrome. In contrast, excited catatonia (delirious mania, Bell’s mania) involves restless movements, talkativeness, agitation, frenzy, disorientation, and confusion. Periodic catatonia, most frequently associated with bipolar disorder, involves fluctuations between stupour and excitement. Malignant catatonia (lethal, pernicious) is characterized by rigidity and an altered level of consciousness with hyperthermia and autonomic instability; this condition is potentially life threatening. Neuroleptic malignant syndrome and serotonin syndrome are considered forms of malignant catatonia. Literature regarding catatonia in children and adolescents is sparse. Features particular to child and adolescent presentations have been described which include: (1) increased slowness affecting motor and verbal responsiveness, (2) difficulty initiating and completing actions, (3) increased reliance on cueing by others, (4) increased passivity and lack of motivation, (5) reversal of circadian rhythms, (6) Parkinsonian features, (7) excitement and agitation, and (8) increased repetitive and ritualistic behavior (Wing & Shah, 2000). A number of rating scales have been developed to assist with its identification, including the Bush-Francis Catatonia Screening Instrument (BFCSI), the Bush-Francis Catatonia Rating Scale (BFCRS), and the Modified Roger’s Rating Scale (MRRS). The lorazepam challenge may also assist in evaluation. It involves the administration of 1–2mg of intravenous lorazepam. A positive test results in the rapid relief of catatonic symptoms, albeit usually transiently (Fink & Taylor, 2003). There is a high response rate, cited as typically between 75%–100% (Hawkins et al., 1995). Admission to neurology or a medical intensive care unit is warranted for cases of catatonia associated with neuroleptic malignant syndrome, encephalitis, and non-convulsant status epilepticus. Atypical antipsychotics are preferred over typical agents due to the risk of precipitating or worsening a potential malignant state. If initially useful, regular doses of lorazepam (starting at 3mg per day) should be used to prevent relapse into catatonia. Parenteral nutrition and intravenous fluids should be considered for those with poor intake. Vitals should be monitored regularly for autonomic instability. If the above measures are unsuccessful, electroconvulsive therapy has been identified as the definitive treatment (Fink & Taylor, 2009).

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,928
Score d'incertitude au seuil0,791

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,022
Tête enseignante GPT0,263
Écart entre enseignants0,241 · 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 tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeAutre devis
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

Citations3
Publié2010
Routes d'admission1
Résumé présentoui

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