How many biomarker measurements are needed to predict prognosis in Crohn's disease patients under infliximab?—A prospective study

Author:

Magro Fernando1234ORCID,Estevinho Maria Manuela15ORCID,Catalano Gaia1,Patita Marta6,Arroja Bruno7,Lago Paula8,Rosa Isadora9ORCID,Tavares de Sousa Helena1011ORCID,Ministro Paula12,Mocanu Irina6,Vieira Ana6,Castela Joana9,Moleiro Joana9,Roseira Joana10ORCID,Cancela Eugénia12,Sousa Paula12,Portela Francisco13,Correia Luís14,Moreira Paula4,Santiago Mafalda315,Dias Sandra15,Afonso Joana1,Danese Silvio1617,Peyrin‐Biroulet Laurent18ORCID,Dias Cláudia Camila319,

Affiliation:

1. Department of Biomedicine Unit of Pharmacology and Therapeutics Faculty of Medicine University of Porto Porto Portugal

2. Department of Gastroenterology São João Hospital University Centre Porto Portugal

3. Center for Health Technology and Services Research (CINTESIS) Porto Portugal

4. Unidade de Farmacologia Clínica São João Hospital University Centre Porto Portugal

5. Department of Gastroenterology Vila Nova de Gaia Espinho Hospital Center Vila Nova de Gaia Portugal

6. Department of Gastroenterology Garcia da Orta Hospital Almada Portugal

7. Department of Gastroenterology Braga Hospital Braga Portugal

8. Department of Gastroenterology Porto Hospital University Centre Porto Portugal

9. Department of Gastroenterology IPOLFG, EPE Lisbon Portugal

10. Department of Gastroenterology Algarve Hospital University Centre ‐ Portimão Unit Portimão Portugal

11. ABC – Algarve Biomedical Center University of Algarve Faro Portugal

12. Department of Gastroenterology Viseu‐Tondela Hospital Centre Viseu Portugal

13. Department of Gastroenterology Coimbra Hospital University Centre Coimbra Portugal

14. Department of Gastroenterology Northern Lisbon University Hospital Centre Lisbon Portugal

15. Portuguese Group of Studies in Inflammatory Bowel Disease (Grupo de Estudos da Doença Inflamatória Intestinal ‐ GEDII) Porto Portugal

16. Department of Biomedical Sciences Humanitas University Milan Italy

17. IBD Center Humanitas Research Hospital IRCCS Milan Italy

18. Department of Gastroenterology and Inserm NGERE U1256 University Hospital of Nancy University of Lorraine Nancy France

19. Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS) Faculty of Medicine University of Porto Porto Portugal

Abstract

AbstractBackgroundTimely stratification of Crohn's disease (CD) is essential for patients' management. The use of noninvasive accurate biomarkers is key to monitor treatment and to pursue mucosal healing, the ultimate treatment endpoint in CD.ObjectiveWe aimed to evaluate the performance of readily available biomarkers and develop risk matrices to predict CD progression.MethodsData from 289 CD patients receiving infliximab (IFX) maintenance therapy for 2 years was collected; those patients were included in DIRECT, a prospective multicenter observational study. Disease progression was evaluated using two composite outcomes incorporating clinical and drug‐related factors, the first including IFX dose and/or frequency adjustments. Univariate and multivariable logistic regressions were used to calculate the odds ratios (OR) and to develop risk matrices.ResultsThe isolated presence of anemia at least once during follow‐up was a significant predictor of disease progression (OR 2.436 and 3.396 [p ≤ 0.001] for composite outcomes 1 and 2, respectively) regardless of confounding factors. Isolated highly elevated C‐reactive protein (CRP; >10.0 mg/L) and fecal calprotectin (FC; >500.0 μg/g) in at least one visit were also significant predictors, while milder elevations (3.1–10.0 mg/L and 250.1–500.0 μg/g) were only relevant when detected in at least two visits (consecutive or not). The combination of biomarkers in risk matrices had good ability to predict progression; patients simultaneously presenting anemia, highly elevated CRP and FC at least once had 42%–63% probability of achieving the composite outcomes.ConclusionThe combined evaluation of hemoglobin, CRP, and FC in at least one time point and their incorporation into risk matrices seems to be the optimal strategy for CD management, as data from additional visits did not meaningfully influence the predictions and may delay decision‐making.

Publisher

Wiley

Subject

Gastroenterology,Oncology

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