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Pollen-Food Allergy Syndrome (PFAS) Can Cause Diarrhea and/or Abdominal Pain and Simulate Irritable Bowel Syndrome (IBS)

2013· article· en· W2978206885 on OpenAlexaff
Stephen Wolman, Jason Bian, Gordon L. Sussman, Carly C. Barron, Simon Stern

Bibliographic record

VenueThe American Journal of Gastroenterology · 2013
Typearticle
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsUniversity of TorontoToronto General Hospital
Fundersnot available
KeywordsMedicineDiarrheaIrritable bowel syndromeAbdominal painFood allergyEosinophilic esophagitisInternal medicineColonoscopyGastroenterologyAllergyDiseaseDermatologyImmunology

Abstract

fetched live from OpenAlex

Purpose: Pollen-food allergy syndrome (PFAS) is a food-related type of allergy that is commonly seen in adult populations. Patients with the disease most often experience localized oropharyngeal symptoms such as itchiness and swelling of the mouth and throat. Gastrointestinal (GI) issues such as pain and diarrhea are rarely present in PFAS. We want to find out if there is a cause-effect relationship between PFAS and GI problems. Here we present the results of four PFAS patients with GI problems including abdominal pain and diarrhea. We suggest a strong causal relationship between PFAS and these gastrointestinal issues resembling those found in IBS. Methods: We thoroughly reviewed medical histories of four pollen-food allergy syndrome patients who displayed gastrointestinal symptoms of abdominal pain and diarrhea. We recorded, compiled and analyzed our findings from various test results in order to establish the relationships between abdominal pain/diarrhea and PFAS. Results: We recognized four patients (three female and one male, ages 55, 39, 28, and 29 years, with abdominal pain and/or diarrhea). In two patients, diarrhea was associated with urgency and near incontinence. The patients had investigations including gastroscopy, colonoscopy, CT enteroclysis, and blood work, as appropriate, which were all negative. One patient had coincident eosinophilic esophagitis from biopsy results. All patients recognized what they interpreted as allergies to foods such as cantaloupes (two patients), saltfish, carrots, trees, cats, and dogs. Two patients had anaphylactic allergic reactions to azithromycin, mangoes, and melons. The patients were presented with lists of cross-reacting foods and recognized specific foods that they ate regularly. They were advised to eliminate these specific foods that they did not previously recognize causing a problem such as celery, various nuts, cantaloupe, and carrots. Their symptoms of diarrhea and/or pain resolved afterwards. Interestingly, all the patients were on proton pump inhibitors (PPI) which may predispose to gastrointestinal manifestations due to decreased gastric degradation of the allergen. All patients had positive skin tests to birch, ragweed, hazelnut, dust, and mugwort. The cross-reactions between environmental and food allergens may also be related to the cause of these GI tract symptoms. Two patients who received IgE testing also showed elevated IgE content. Conclusion: PFAS can cause GI symptoms that can be mistaken for IBS. A history of allergy, an elevated IgE, and positive skin testing can help to recognize food allergies that can cause significant symptoms and are amenable to dietary alteration.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.255
Teacher spread0.242 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2013
Admission routes1
Has abstractyes

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