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Record W2971800950 · doi:10.1159/000501121

Subcutaneous Magnesium Sulfate to Correct High-Output Ileostomy-Induced Hypomagnesemia

2019· article· en· W2971800950 on OpenAlexafffund
Mark Makowsky, Peter D. Bell, Leah Gramlich

Bibliographic record

VenueCase Reports in Gastroenterology · 2019
Typearticle
Languageen
FieldMedicine
TopicStoma care and complications
Canadian institutionsUniversity of Alberta
FundersUniversity of Alberta
KeywordsHypomagnesemiaMedicineMagnesiumIleostomyAnesthesiaSurgeryMagnesium deficiency (plants)AmbulatoryGastroenterology

Abstract

fetched live from OpenAlex

Fluid and magnesium abnormalities are common in patients with high-output stomas. Subcutaneous magnesium administration may be more feasible for long-term management in ambulatory patients, but magnesium sulfate is approved only for intravenous or intramuscular injection. We describe the management of chronic hypomagnesemia and dehydration secondary to a high-output ileostomy following radiation and chemotherapy for anal squamous cell carcinoma with intermittent home-based subcutaneous magnesium infusions in a 61-year-old female with a history of Crohn’s disease and multiple bowel resections. Despite aggressive management with intravenous magnesium sulfate and oral magnesium glucoheptonate over 8 months, 49% of her magnesium concentrations were <0.60 mmol/L (mean 0.61 ± 0.09) necessitating 4 emergency, 1 hospital, and 4 infusion clinic visits. After initiation of subcutaneous magnesium sulfate, all magnesium concentrations were >0.60 mmol/L (mean 0.79 ± 0.08 mmol/L over 9 months). The patient tolerated the infusions well, only developing one minor episode of infusion-related cellulitis. A systematic review of the literature identified 14 reports where subcutaneous magnesium sulfate<sub></sub>was effective and treatment for adults or children with hypomagnesemia was safe. Home-based intermittent administration of subcutaneous magnesium may be a helpful and safe intervention to temporarily prevent and treat select patients with recurrent symptomatic hypomagnesemia.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.344
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.011
GPT teacher head0.255
Teacher spread0.244 · 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 designCase report
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".

Quick stats

Citations15
Published2019
Admission routes2
Has abstractyes

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