Influência do estado nutricional e da composição corporal na evolução clínica dos pacientes com doença inflamatória intestinal
Bibliographic record
Abstract
Introduction: Inflammatory Bowel Diseases (IBD) are diseases of unknown etiology and can develop an inflammatory response in the gastrointestinal mucosa of immune nature. Nutritional status is directly related to the severity of disease and its worsening may contribute to the negative prognosis and damage of the immune competence. The purpose of this study was to evaluate the nutritional status and body composition of IBD patients accompanied at the outpatient clinic of Inflammatory Bowel Disease of Clinical Hospital of Botucatu Medical School and identify nutritional predictors of clinical outcome in patients with Crohn's disease (CD) and Colitis ulcerative (UC). Methods: A cross-sectional was conducted study with clinical and nutritional evaluation of 141 patients followed at the Botucatu Medical School. We included pacients with confirmed diagnosis of CD or UC; adults, over eighteenyears old and of both sexes. Exclusion criteria was patients using nutritional supplements, pregnancy and lactating women and patients with chronic diseases. For the classification of the clinical activity of DC used the Crohn's Disease Activity Index (CDAI). To characterize the extent and evolutionary way DC used the classification of Montreal. The UC was classified according to the anatomical extent of the inflammatory process and assessment of disease activity, the Mayo score was used. Nutritional assessment the anthropometric measurements used were current weight, height, arm circumference (AC), triceps skinfold (TSF) and the thickness of the thumb adductor muscle (APM). Body Mass Index (BMI), arm muscle circumference (MAC) and corrected arm muscle area (CAMA) were also calculated. By bioelectrical impedance was calculated the Phase Angle and obtained Lean Body Mass percentage and Fat Mass percentage. Laboratory tests analyzed were: hematocrit, hemoglobin, total protein, albumin, C-reactive Protein and Erythrocyte Sedimentation Rate. The descriptive ...
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".