S56 Utility of Red Cell Distribution Width in Assessing Ulcerative Colitis Activity and Its Correlation With Inflammatory Biomarkers
Notice bibliographique
Résumé
Background: Ulcerative colitis (UC) causes chronic inflammation of the colon and rectum, significantly affecting patients’ quality of life due to its variable symptoms. Effective management of UC requires an accurate assessment of inflammatory activity through biomarkers such as fecal calprotectin (FC), C-reactive protein (CRP), and erythrocyte sedimentation rate (ESR). Red cell distribution width (RDW) is a laboratory parameter derived from a complete blood count that measures the variability in red blood cell size. An elevated RDW value may indicate the presence of inflammatory processes and oxidative stress. This parameter is readily available and can provide important prognostic information in patients with multiple inflammatory and chronic conditions. The objective of this study is to evaluate the utility of RDW in assessing UC activity and its correlation with other biochemical markers (ESR, CRP, FC). Methods: A cross-sectional, analytical relational study was conducted, including 94 patients with UC treated at the Inflammatory Bowel Disease Clinic at the General Hospital of Mexico “Dr. Eduardo Liceaga.” Patient data were collected, including demographic and clinical variables (disease extent, age at diagnosis, extraintestinal manifestations, and treatments received). UC activity was classified according to the New Yamamoto-Furusho Comprehensive Index for UC assessment (NYFCI), which includes clinical, biochemical, endoscopic, and histological parameters, categorizing patients as inactive or with mild, moderate, or severe activity. RDW, FC, CRP, and ESR levels were evaluated. Descriptive and comparative analyses were performed, as well as a correlation analysis of variables based on their distribution, using the corresponding statistical tests. Data analysis was conducted using the SPSS statistical package version 29. Results: Of the patients included in the study, 53.2% were women. The average age of the patients was 41.7 years (± 12.8), and the average age at diagnosis was 32 years (± 12.52). The majority of patients (62.8%) were classified as E3 according to the Montreal classification. CUCI activity, measured by the NYFCI, showed that 57.4% of the patients had moderate activity. The median biomarker values were: ESR of 11 mm/h (interquartile range 4-19.2), CRP of 4.1 mg/L (interquartile range 1.1-12.6), FC of 258 µg/g (interquartile range 69.1-800), and RDW of 15.9 (± 4.2). The comparative analysis showed significant differences between RDW values and disease activity level according to the NYFCI (p=0.04). Additionally, a positive correlation was found between RDW values and the NYFCI score (r=0.25; p=0.1), CRP (r=0.32; p=0.001), ESR (r=0.53; P< 0.001), and FC (r=0.23; p=0.2). No significant associations or correlations were found between RDW and gender, age, age at diagnosis, disease extent, presence of extraintestinal manifestations, or the type of treatment received by UC patients. Conclusions: Our study demonstrates that RDW could be a useful biomarker for assessing UC activity. A significant correlation was found between RDW values and other inflammatory biomarkers such as FC, ESR, and CRP. This parameter is easily accessible and can provide important prognostic information, thus improving the clinical management of UC patients.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».