Introduction
Surveillance is recommended in patients with colonic inflammatory bowel disease (IBD) given their increased risk of colorectal cancer (CRC). Present risk stratification strategies do not discriminate sufficiently between risk groups. We aimed to develop and validate a dynamic multivariable prediction model for advanced colorectal neoplasia (aCRN, including high-grade dysplasia and CRC) in IBD.
Aims & Methods
We pooled data from six existing surveillance cohort studies (two unpublished).1-3 Patients with IBD and an indication for CRC surveillance were included if they underwent at least one follow-up procedure. Exclusion criteria included prior aCRN, prior colectomy, or an unclear indication for surveillance. Predictors were selected based on the results of a recent meta-analysis,4 frequency, and data availability: extensive disease, prior dysplasia (indefinite for dysplasia or low-grade dysplasia), primary sclerosing cholangitis, male sex, IBD type, post-inflammatory polyps, age, and maximal endoscopic inflammation. A dynamic prediction model was developed using a landmarking approach based on Cox proportional hazard modelling.5 Model performance was assessed with Harrell’s c-statistic and by calibration curves, adjusted for optimism by internal cross-validation. In a sensitivity analysis model performance was assessed in data ≥2010 only (internal validation). Generalizability across the surveillance cohorts was evaluated by internal-external cross-validation.
Results
The surveillance cohorts encompassed time periods 1973-2021 and comprised 3,731 patients (54% male sex; 75% ulcerative colitis or IBD-unclassified and 25% Crohn’s disease) with a median follow-up of 5.7 years (interquartile interval 3.3-9.6; 26,336 patient-years of follow-up); 146 individuals were diagnosed with aCRN (see table 1 for patient characteristics). The final model contained eight predictors, with a cross-validation median c-statistic of 0.74 and 0.75 and calibration slope of 0.77 and 0.83 for, respectively, a 5- and 10-year prediction window in overall analyses. Calibration plots showed good calibration. Ninety percent of 10-year predicted aCRN risks were between 0.9 and 18.7%. Model discrimination improved in data ≥2010 and calibration results remained unchanged (48% of all procedures ≥2010). Internal-external cross-validation results showed medium discrimination and reasonable to good calibration.
| Total n=3.731 | Cohort A n=874 | Cohort B n=407 | Cohort C n=1.163 | Cohort D n=306 | Cohort E n=811 | Cohort F n=170 |
| Hospital; country | - | St. Mark’s Hospital; UK | Mount Sinai; USA | Five tertiary and two secondary hospitals; NL | Four tertiary hospitals; NL | Mayo Clinic; USA | University of Manitoba; CA |
Male sex, n (%) Missing | 2.024 (54) 7 | 487 (56) 7 | 203 (50) | 616 (53) | 155 (51) | 475 (59) | 88 (52) |
| Age (y), median (interquartile interval (IQI)) | 47 (36-56) | 45 (36-54) | 41 (31-55) | 46 (37-55) | 49 (37-58) | 51 (40-62) | 42 (30-52) |
| IBD disease duration (y), median (IQI) | 13 (9-21) | 11 (9-17) | 13 (9-21) | 14 (10-21) | 15 (9-24) | 16 (10-24) | 10 (8-14) |
| Extensive disease extent (E3 montreal or >50% colonic involvement), n (%) | 2.946 (79) | 874 (100) | 262 (64) | 936 (80) | 261 (85) | 485 (60) | 128 (75) |
| Primary sclerosing cholangitis (study index or follow-up), n (%) | 518 (14) | 36 (4) | 86 (21) | 157 (13) | 26 (8) | 202 (25) | 11 (6) |
| Prior dysplasia (indefinite for dysplasia and/or low-grade dysplasia), n (%) | 558 (15) | 41 (5) | 64 (16) | 175 (15) | 64 (8) | 211 (26) | 6 (4) |
| Post-inflammatory polyps, n (%) | 675 (18) | 171 (20) | 83 (20) | 226 (19) | 81 (26) | 73 (9) | 41 (24) |
Events advanced colorectal neoplasia (prior to or at colectomy) High-grade dysplasia Colorectal cancer | 57 89 | 12 36 | 15 14 | 14 15 | 1 4 | 13 19 | 2 1 |
Table 1: Characteristics of 3.731 included IBD patients at study index and procedure details (total cohort and per database) * Summary data does not include all cohorts as variable is not present in one or more cohorts.
Conclusion
We generated a model based on clinical factors that predicts future aCRN risk, with moderate to good model discrimination and good calibration. However, generalizability results vary and are impacted by varying cohort sizes and should be interpreted with caution. Future research should focus on formal external validation, relate predicted aCRN risks to surveillance intervals, and investigate the impact of this new model in daily clinic prior to clinical application.
References
1. Choi CR, Al Bakir I, Ding NJ, et al. Cumulative burden of inflammation predicts colorectal neoplasia risk in ulcerative colitis: a large single-centre study. Gut 2019;68:414-422.
2. Mahmoud R, Shah SC, Ten Hove JR, et al. No Association Between Pseudopolyps and Colorectal Neoplasia in Patients With Inflammatory Bowel Diseases. Gastroenterology 2019;156:1333-1344 e3.
3. Ten Hove JR, Shah SC, Shaffer SR, et al. Consecutive negative findings on colonoscopy during surveillance predict a low risk of advanced neoplasia in patients with inflammatory bowel disease with long-standing colitis: results of a 15-year multicentre, multinational cohort study. Gut 2019;68:615-622.
4. Wijnands AM, de Jong ME, Lutgens M, et al. Prognostic Factors for Advanced Colorectal Neoplasia in Inflammatory Bowel Disease: Systematic Review and Meta-analysis. Gastroenterology 2021;160:1584-1598.
5. van Houwelingen, H., & Putter, H. (2012). Dynamic Prediction in Clinical Survival Analysis (1st ed.). CRC Press. https://doi.org/10.1201/b11311:
Disclosure
Laurent Beaugerie: Research grants: Biogen, Celltrion, Takeda, Ferring, Celltrion, Viatris; Personal fees: Takeda, Nordic Pharma, Janssen, BMS, and Viatris.
Charles N. Bernstein: Dr Bernstein is supported by the Bingham Chair in Gastroenterology. Dr. Bernstein has served on advisory Boards for AbbVie Canada, Amgen Canada, Bristol Myers Squibb Canada, Eli Lilly Canada, Roche Canada, Janssen Canada, Sandoz Canada, Takeda Canada, and Pfizer Canada; Educational grants from Abbvie Canada, Amgen Canada, Bristol Myers Squibb Canada, Ferring Canada, Organon Canada, Pfizer Canada, Takeda Canada, and Janssen Canada. Speaker’s panel for Abbvie Canada, Janssen Canada, Pfizer Canada, and Takeda Canada. Received research funding from Abbvie Canada, Amgen Canada, Sandoz Canada, Takeda Canada, and Pfizer Canada.
Steven H. Itzkowitz: Dr Itzkowitz has served on Advisory Board for Exact Sciences Corporation and a consultant for Geneoscopy. He has received research support from Exact Sciences Corporation and Freenome.
Julien Kirchgesner: Lecture fees from Janssen and Lilly, and consulting fees from Roche, Gilead, Pfizer, Janssen, Celltrion, Lilly, Takeda, and Abbvie.
Cyriel Y. Ponsioen: Received grant support from Gilead and Perspectum and speaker’s fees from Tillotts