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Enregistrement W2595863962 · doi:10.1002/mdc3.12490

Enteral Feeding Using Levodopa‐Carbidopa Intestinal Gel Percutaneous Endoscopic Gastrostomy Tube

2017· article· en· W2595863962 sur OpenAlexafffundabout
Andréane Bernier, J Dorais, Benoît Gagnon, Christiane Lepage, Nicolas Jodoin, Valérie Soland, Michel Panisset, Sylvain Chouinard, Antoine Duquette

Notice bibliographique

RevueMovement Disorders Clinical Practice · 2017
Typearticle
Langueen
DomaineHealth Professions
ThématiqueDysphagia Assessment and Management
Établissements canadiensCentre Hospitalier de l’Université de Montréal
Organismes subventionnairesCanadian Institutes of Health Research
Mots-clésPercutaneous endoscopic gastrostomyMedicineDysphagiaEnteral administrationParenteral nutritionGastrostomySwallowingParkinson's diseaseAspiration pneumoniaSurgeryInternal medicinePEG ratioDiseasePneumonia

Résumé

récupéré en direct d'OpenAlex

In Parkinson's disease (PD), dysphagia has a significant influence on nutritional status.1 When dysphagia is resistant to oral nutrition intervention, enteral nutrition using a percutaneous endoscopic gastrostomy (PEG) can be considered.2 A levodopa (l-DOPA)-carbidopa intestinal gel (LCIG) has been used to treat advanced PD using a PEG with a jejunal extension (PEG-J) (AbbVie, Montréal, Canada). We present a case in which the LCIG PEG-J was used successfully for feeding. A 71-year-old man treated with LCIG was referred because he suffered from recurring aspiration pneumonia. A swallowing evaluation showed moderate oro-pharyngeal dysphagia. Despite modified food textures, food enrichment, supplementation, and appropriate nutrition counseling, the patient experienced moderate-to-severe malnutrition. Enteral nutrition was initiated using a 15-Fr (5-mm) LCIG PEG-J through the gastric port. Nutrition was first administered with a feeding pump during the night while infusion of LCIG was stopped. To complement his nutritional intake, he received two boluses during the day. After a few weeks, as a result of sleeping discomfort, a new isocaloric enteral nutrition plan was established. Five boluses were administered with the feeding pump simultaneously with LCIG to mimic usual meal times. Before initiation of LCIG, in addition to 3 daily doses of entacapone, the patient received 1600 mg of l-dopa divided across 8 doses. He also received 200 mg of controlled-release l-dopa, which was continued after LCIG was initiated. LCIG was titrated to 100 mg/h for 16 hours with 3 to 4 additional 50 mg doses if needed. Enteral nutrition required no adjustment. As the enteral feeding and PEG-J ports are not compatible, an adaptor had to be crafted (Fig. 1). This modification reduced the size of opening to 8 or 9 Fr (2.7 to 3 mm), which did not allow for the administration of other pills because of increased obstruction risks. Therefore, the patient's PEG-J was changed for a larger caliber [20 Fr (6.7 mm); AbbVie, Montreal, Canada], which made medication administration possible. After a few months, enteral feeding had to be stopped because of severe gastroparesis and new episodes of aspiration pneumonia. The patient ultimately underwent jejunal feeding via surgically performed distal jejunostomy. This case illustrates that it is possible to use the LCIG PEG-J to administer enteral nutrition. Although enteral nutrition is infrequent in PD patients, the use of LCIG PEG-J can be an alternative when the usual nutritional interventions are unsuccessful in preventing malnutrition and aspiration pneumonia. For the LCIG PEG-J to become a viable route for enteral feeding, the development of an adaptor that makes enteral nutrition tubes and the LCIG PEG-J gastric port compatible is required. A 20-Fr caliber PEG is available and should be considered when LCIG is initiated for patients presenting moderate-to-severe dysphagia, as it allows for the administration of medication. Gastroparesis, which is frequent in PD, might be a limiting factor for gastric feeding.3 Protein-dopamine interaction may require medication adjustments,4 although no significant adjustment was necessary in this case. 1. Research Project: A. Conception, B. Organization, C. Execution; 2. Statistical Analysis: A. Design, B. Execution, C. Review and Critique; 3. Manuscript Preparation: A. Writing of the first draft, B. Review and Critique. A.B.: 1A, 1B, 1C, 3A, 3B J.D.: 1C, 3B B.G.: 1A, 1C, 3B C.L.: 1A, 1C, 3B N.J.: 1C, 3B V.S.: 1C, 3B M.P.: 1A, 1B, 1C, 3B S.C.: 1A, 1B, 1C, 3B A.D.: 1B, 1C, 3A, 3B Ethical Compliance Statement: We confirm that we have read the Journal's position on issues involved in ethical publication and affirm that this work is consistent with those guidelines. We confirm that the approval of an institutional review board was not required for this work. Funding Sources and Conflicts of Interest: A.D. is supported by a Canadian Institutes of Health Research (CIHR) clinician-scientist (Phase 1) training grant and was supported by a Parkinson Society Canada fellowship. S.C., J.D., B.G., C.L., and N.J. have served as advisers for AbbVie. Financial Disclosure for the previous 12 months: A.D. received an unrestricted educational grant from Actelion Pharmaceutiques Canada. A.D. received research grants from Ataxie Canada.

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)0,003
score de la tête « metaresearch » (Gemma)0,007
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,565
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,007
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0030,000
Communication savante0,0000,001
Science ouverte0,0010,001
Intégrité de la recherche0,0000,002
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,125
Tête enseignante GPT0,509
Écart entre enseignants0,385 · 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.

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

Citations4
Publié2017
Routes d'admission3
Résumé présentoui

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