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Enregistrement W611421473 · doi:10.1093/pch/20.5.245

Case 1: #Molly presents with new-onset seizures

2015· article· en· W611421473 sur OpenAlexaff
Tanvi Agarwal, Allison Rodrigues, Alène Toulany

Notice bibliographique

RevuePaediatrics & Child Health · 2015
Typearticle
Langueen
DomainePharmacology, Toxicology and Pharmaceutics
ThématiqueForensic Toxicology and Drug Analysis
Établissements canadiensSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMedicinePediatricsComputer science

Résumé

récupéré en direct d'OpenAlex

The authors have no financial relationships or conflicts of interest relevant to this article to declare. A previously healthy 16-year-old girl presented to the emergency department following a first-episode generalized tonic-clonic (GTC) seizure that she experienced while at a rave. On presentation, the patient was cooperative, but lethargic and drowsy. Her initial vital signs included a blood pressure of 113/64 mmHg, a heart rate of 97 beats/min, a respiratory rate of 16 breaths/min, an oxygen saturation of 98% on room air and an axillary temperature of 36.4°C. A noncontrast head computed tomography scan was performed and was normal. An electrocardiogram demonstrated a prolonged QT interval of 460 ms. The patient experienced a second GTC seizure while in the emergency department and was treated successfully with 6 mg (0.15 mg/kg) of intravenous lorazepam. However, shortly thereafter, she required intubation for airway management and was transferred to the paediatric intensive care unit. Poison control, neurology and clinical pharmacology teams were consulted. Further history and investigations during her subsequent hospital admission revealed the cause of her symptoms. Initial laboratory investigations revealed a sodium level of 115 mmol/L. The patient received two boluses of 3% saline, which resulted in an increase in sodium level to 132 mmol/L. Her sodium level normalized at 143 mmol/L after additional correction with normal saline. The initial creatinine phosphokinase (CPK) level was also elevated (1591 U/L; normal range 45 U/L to 230 U/L). The patient complained of generalized soreness and lower extremity myalgia with movement. Her CPK level reached a peak of 123,942 U/L, warranting hyperhydration with alkalinized intravenous fluids. In addition, her liver enzyme levels became elevated, with peak aspartate aminotransferase and alanine aminotransferase levels of 931 U/L and 321 U/L, respectively. A review of her urine toxicology screen revealed the presence of methamphetamine and methylenedioxymethamphetamine (MDMA), and her serum screen was positive for methylone. These findings were corroborated on history when her friend disclosed that the patient had ingested two capsules of ‘Molly’, or 0.4 g of MDMA, following which she had consumed 10 L of water at the music festival. This led to a diagnosis of hyponatremic seizures due to excessive water intake and rhabdomyolysis secondary to MDMA ingestion. Frequently referred to as ‘Molly’ or ecstasy, MDMA is a commonly used illicit drug that has its use deep-rooted in the electronic dance music scene (1). While the prevalence of ecstasy use among the general Canadian population is approximately 1%, youth 15 to 24 years of age have the highest rates of use among all Canadians (3.8% in 2010), with students in grades 7 to 12 demonstrating relatively high consumption rates (3.4% to 7.2%); use does not vary significantly according to sex (2). Structurally related to amphetamines, MDMA is primarily metabolized by cytochrome 2D6. However, because MDMA is also a potent inhibitor of this enzyme, it can inhibit its own metabolism, thereby increasing the plasma concentration of MDMA. Through its interaction with monoamine transporters, MDMA stimulates serotonin, dopamine and norepinephrine release in the brain and causes the secretion of cortisol, oxytocin and antidiuretic hormone (ADH), leading to its desirable effects of energy and mood elevation. The active metabolites of MDMA may cause liver injury. Heart rate and blood pressure elevations may increase the risk for stroke and myocardial infarction, with a higher risk for sudden cardiac death or coronary artery disease in individuals with conduction abnormalities or cardiomyopathies. Furthermore, MDMA is associated with a dose-related increase in body temperature and poses the risk for serotonin syndrome (SS), which may present with muscle rigidity, diaphoresis, tremors and confusion. Serotonin syndrome or other features that are commonly associated with MDMA ingestion, such as hyperpyrexia and excessive physical activity with suppressed recognition of overexertion cues, may cause heat stroke or rhabdomyolysis, with CPK levels up to 100,000 U/L (1). Moreover, ADH release causes free water uptake in the collecting tubules which, in conjunction with excessive water consumption secondary to dehydration and overheating, can result in severe hyponatremia, leading to seizures or cerebral edema (3). The present case demonstrates the importance for health care providers to maintain a high index of suspicion for substance use, specifically MDMA, among adolescents presenting with new-onset seizures. A confidential and thorough evaluation using the HEADDSSS (Home, Education/Employment, Activities, Diet, Drugs, Suicide, Sexuality and Safety) screen along with other validated assessment tools, such as those available on the Collaborative Mental Health Care or Centre for Addiction and Mental Health (Toronto, Ontario) websites, can assist health care providers in identifying additional high-risk behaviours in adolescents. Dilutional hyponatremia secondary to drug ingestion should be considered in teenagers who present with new-onset seizures. MDMA, or ecstasy, can cause symptomatic dilutional hyponatremia through its association with excessive water consumption and ADH secretion. Profound rhabdomyolysis may occur with MDMA use due to hyperpyrexia from serotonin syndrome or overexertion.

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)0,000
score de la tête « metaresearch » (Gemma)0,003
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 enseignants0,008
Score d'incertitude au seuil0,027

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,003
Méta-épidémiologie (sens strict)0,0020,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,002
Science ouverte0,0010,001
Intégrité de la recherche0,0060,003
Charge utile insuffisante (le modèle a refusé de juger)0,0080,003

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 Opus0,090
Tête enseignante GPT0,410
Écart entre enseignants0,320 · 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

Citations0
Publié2015
Routes d'admission1
Résumé présentnon

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