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Enregistrement W2246183339 · doi:10.1093/pch/19.6.299a

Case 2: An adolescent refugee with lower-extremity pain and weakness

2014· article· en· W2246183339 sur OpenAlexaffabout
Sébastien Bergeron, Valérie Larouche, Richard E. Bélanger

Notice bibliographique

RevuePaediatrics & Child Health · 2014
Typearticle
Langueen
DomaineMedicine
ThématiqueMuscle and Compartmental Disorders
Établissements canadiensUniversité Laval
Organismes subventionnairesnon disponible
Mots-clésWeaknessRefugeeMedicinePhysical medicine and rehabilitationPhysical therapySurgeryPolitical science

Résumé

récupéré en direct d'OpenAlex

A 12-year-old boy reported to a tertiary-care paediatric emergency department with gradual, intense pain and weakness in the lower limbs. As an Iraqi refugee who had resided in Canada for almost a year, he was living in a precarious social and economic condition with his mother and three siblings. He had transfusion-dependent β-thalassemia major with associated hemosiderosis, splenectomy and hepatitis C. At presentation, he was taking an iron chelator and was receiving blood transfusions every three weeks. He had been recently hospitalized for cellulitis at the site of catheterization for his chelation sessions and treated with intravenous antibiotics. Pain and weakness in both legs were the only symptoms reported and were interfering with his school attendance. He denied experiencing other neurological symptoms. He had neither voiding problems nor fecal incontinence. He reported no fever, night sweats or weight loss. The physical examination revealed a frail and small-for-age boy with normal vital signs. He had extensive gingivitis and his neurological examination was somewhat inconsistent, revealing symmetrical hyperesthesia and moderate weakness of the lower limbs. His gait was laboured, but his deep tendon reflexes were normal. There was no joint or soft tissue swelling, and his skin showed no rash. Further investigations revealed the diagnosis. Because of the severity of the clinical presentation and the overall complexity of the case, the patient was hospitalized. Blood samples were drawn, showing moderate anemia (hemoglobin 81 g/L), with a hemoglobin level similar to his baseline level. His white blood cell (18.4×109/L) and platelet (856×109/L) counts were high but also unchanged. C-reactive protein and creatine kinase levels were normal. In the following days, he underwent electromyography and magnetic resonance imaging (cerebral and spinal), which showed no neurological cause for his symptoms. Extended radiographs revealed low bone mineralization. Otherwise, psychosocial assessments pointed toward intimidation and rejection at school, mainly from cultural barriers, as important factors to consider in the understanding of his symptomatology. However, a few weeks after discharge, the nutritional work-up revealed a very low vitamin C level (6 μmol/L; normal 40 μmol/L to 90 μmol/L) and the diagnosis of scurvy was reached. Although historically an important issue among mariners, scurvy is currently rare, especially in industrialized countries. It results from a deficiency in vitamin C (ascorbic acid), which is derived exclusively from the diet. After absorption in the distal small bowel, a one- to three-month supply of ascorbic acid can be stored in the body, while some is used immediately as a cofactor for many biological processes. The first symptoms to arise are non-specific: malaise, lethargy, low-grade fever and poor weight gain. Once the body pool of ascorbic acid is depleted, patients may complain of bruises/petechiae, bleeding gums, arthralgia and poor wound healing. Scurvy may also cause generalized tenderness and weakness (especially in the lower limbs), neuropathy and multi-factorial anemia. Severe deficiency may even result in skeletal muscle degeneration, growth delay, cardiac hypertrophy and adrenal atrophy. In the present case, scurvy explained the neurological symptoms reported as well as the poor oral condition, and may have contributed to previous cellulitis. Thus, when faced with vague symptoms, nutritional deficiency should be considered as an underlying cause whenever risk factors are present. Regarding scurvy, the latter include exclusive cow's milk feeding during the first year of life, poverty, refugee life conditions, anorexia, type 1 diabetes, small intestinal diseases and restricted diets due to developmental or behavioural factors such as autism. In the present case, the cause was most likely multi-factorial including low vitamin C intake associated with life as a poor and chronically ill refugee. Moreover, iron overload promotes irreversible ascorbic acid oxidation into oxalic acid, which then becomes largely excreted in the urine (1). The patient's condition improved after oral ascorbic acid supplementation was initiated. He left with nutritional advice and social interventions were undertaken to alleviate the psychosocial difficulties, including at school. Since then, he has not experienced any cellulitis or limb pain, and his oral condition has completely resolved. Throughout follow-up, his plasma vitamin C concentration normalized. Health care providers should remember that scurvy still occurs and must be considered as a diagnosis, especially in high-risk groups with restricted diets. Nutritional deficiencies should be considered to explain atypical symptoms, even in the presence of strong psychosocial stressors. In providing culturally adapted care, paediatricians should consider that poverty, social stigmatization and language barriers are only some of the hurdles new immigrants and refugees face after their arrival (2). The authors thank Richard Poulin PhD for his help in the preparation of the manuscript.

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)0,001
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: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,221
Score d'incertitude au seuil0,637

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
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 recherche0,0000,000
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 Opus0,014
Tête enseignante GPT0,266
Écart entre enseignants0,252 · 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'étudeObservationnel
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

Citations1
Publié2014
Routes d'admission2
Résumé présentoui

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