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Record W2595863962 · doi:10.1002/mdc3.12490

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

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

Bibliographic record

VenueMovement Disorders Clinical Practice · 2017
Typearticle
Languageen
FieldHealth Professions
TopicDysphagia Assessment and Management
Canadian institutionsCentre Hospitalier de l’Université de Montréal
FundersCanadian Institutes of Health Research
KeywordsPercutaneous endoscopic gastrostomyMedicineDysphagiaEnteral administrationParenteral nutritionGastrostomySwallowingParkinson's diseaseAspiration pneumoniaSurgeryInternal medicinePEG ratioDiseasePneumonia

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.565
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.125
GPT teacher head0.509
Teacher spread0.385 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations4
Published2017
Admission routes3
Has abstractyes

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