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Record W4238445273 · doi:10.1093/jcag/gwy008.085

A84 HIGH FECAL CALPROTECTIN LEVELS IN ULCERATIVE COLITIS PATIENTS IN CLINICAL REMISSION ARE ASSOCIATED WITH SPECIFIC CLINICAL AND DIETARY INTAKE PARAMETERS.

2018· article· en· W4238445273 on OpenAlexaffabout
Ammar Hassanzadeh Keshteli, Thomas Hoevers, Karen Madsen, Naomi Hotte, Cheryl Nickurak, Karen I. Kroeker, F van Den Brand, Rosica Valcheva, Richard N. Fedorak, Levinus A. Dieleman

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCalprotectinMedicineInternal medicineUlcerative colitisGastroenterologyFecesAnthropometryCross-sectional studyBody mass indexInflammatory bowel diseaseDiseasePathology

Abstract

fetched live from OpenAlex

Ulcerative colitis (UC) is a debilitating chronic inflammation with frequent relapses. Fecal calprotectin (FCP), a cytosolic protein of mucosal neutrophils, is the most promising non-invasive fecal marker of intestinal inflammation. We have previously shown that UC patients in clinical remission who had FCP>150 µg/g had a significantly higher chance of relapse within the next 12 months. In this study we aimed to investigate which demographic, clinical, laboratory, dietary and lifestyle related factors were associated with high FCP. In this cross-sectional study, FCP was measured using ELISA on samples from adult UC patients who were in clinical remission (Partial Mayo score<3). Demographic (age, gender), clinical (e.g. disease subtype, medication, disease duration), laboratory (e.g. serum vit D, B12, iron status, liver function tests, C-reactive protein), and lifestyle related (e.g. physical activity, smoking, anthropometric measurements) measurements were collected. Health related quality of life was assessed using SIBDQ-10. Assessment of dietary intake during the past twelve months before enrollment in the study was performed using a validated food frequency questionnaire. Residual method was used to calculate energy-adjusted nutrients intake. Seventy-two patients were included in this study (mean age: 40.7 ± 14.1 years, females: 60.7%). Interestingly, 41.0% of UC patients in clinical remission had FCP >150 µg/g, defined as “high FCP”. The prevalence of high FCP in males and females was 54.2 and 32.4%, respectively (P=0.09). After adjusting for gender, age and BMI, patients with high FCP had a significantly higher carbohydrate (233.0 ± 34.8 vs. 214.4 ± 25.1 g/d, P=0.02) intake, but lower consumption of alcohol (2.1 ± 3.8 vs. 4.4 ± 5.1 g/d, P=0.05), monounsaturated (25.7 ± 11.7 vs. 29.3 ± 7.8 g/d, P=0.08), and polyunsaturated fatty acids (12.3 ± 6.5 vs. 14.7 ± 5.5g/d, P=0.06). The prevalence of high FCP in patients who had previous history of proctitis, left-sided colitis, and pancolitis was 0, 38, and 49%, respectively (P=0.02). Serum albumin level was higher in patients with normal FCP than in patients with high FCP (44.8 ± 2.4 vs. 43.2 ± 2.9 g/L, P=0.02). FCP was not related to vitamin D, B12, iron, obesity, physical activity, and quality of life status. Increased fecal calprotectin as a marker of subclinical disease in UC patients is associated with high carbohydrate intake and low consumption of monounsaturated and polyunsaturated fatty acids in male patients with more extensive previous disease. These findings suggest that diet can be a significant determining factor in modulation of inflammation in UC patients who are in clinical remission. Alberta Innovates - Bio Solutions

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.060
GPT teacher head0.332
Teacher spread0.272 · 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 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".

Quick stats

Citations0
Published2018
Admission routes2
Has abstractyes

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Same venueJournal of the Canadian Association of Gastroenterology→Same topicNutrition and Health in Aging→French-language works237,207→