Development of a Simple, Serum Biomarker-based Model Predictive of the Need for Early Biologic Therapy in Crohn's Disease. (19th September 2020)
- Record Type:
- Journal Article
- Title:
- Development of a Simple, Serum Biomarker-based Model Predictive of the Need for Early Biologic Therapy in Crohn's Disease. (19th September 2020)
- Main Title:
- Development of a Simple, Serum Biomarker-based Model Predictive of the Need for Early Biologic Therapy in Crohn's Disease
- Authors:
- Con, Danny
Parthasarathy, Nina
Bishara, Maria
Luber, Raphael P
Joshi, Neetima
Wan, Anna
Rickard, James A
Long, Tony
Connoley, Declan J
Sparrow, Miles P
Gibson, Peter R
van Langenberg, Daniel R
Vasudevan, Abhinav - Abstract:
- Abstract: Background: Early or first-line treatment with biologics, as opposed to conventional immunomodulators, is not always necessary to achieve remission in Crohn's disease [CD] and may not be cost-effective. This study aimed to develop a simple model to predict the need for early biologic therapy, in order to risk-stratify CD patients and guide initial treatment selection. Methods: A model-building study using supervised statistical learning methods was conducted using a retrospective cohort across two tertiary centres. All biologic-naïve CD patients who commenced an immunomodulator between January 1, 2004 and December 31, 2016, were included. A predictive score was derived using Cox regression modelling of immunomodulator failure, and was internally validated using bootstrap resampling. Results: Of 410 patients [median age 37 years, 47% male, median disease duration 4.7 years], 229 [56%] experienced immunomodulator failure [39 required surgery, 24 experienced a new stricture, 44 experienced a new fistula/abscess, 122 required biologic escalation] with a median time to failure of 16 months. Independent predictors of treatment failure included raised C-reactive protein [CRP], low albumin, complex disease behaviour, younger age, and baseline steroids. Highest CRP and lowest albumin measured within the 3 months preceding immunomodulator initiation outperformed baseline measurements. After model selection, only highest CRP and lowest albumin remained and the resultantAbstract: Background: Early or first-line treatment with biologics, as opposed to conventional immunomodulators, is not always necessary to achieve remission in Crohn's disease [CD] and may not be cost-effective. This study aimed to develop a simple model to predict the need for early biologic therapy, in order to risk-stratify CD patients and guide initial treatment selection. Methods: A model-building study using supervised statistical learning methods was conducted using a retrospective cohort across two tertiary centres. All biologic-naïve CD patients who commenced an immunomodulator between January 1, 2004 and December 31, 2016, were included. A predictive score was derived using Cox regression modelling of immunomodulator failure, and was internally validated using bootstrap resampling. Results: Of 410 patients [median age 37 years, 47% male, median disease duration 4.7 years], 229 [56%] experienced immunomodulator failure [39 required surgery, 24 experienced a new stricture, 44 experienced a new fistula/abscess, 122 required biologic escalation] with a median time to failure of 16 months. Independent predictors of treatment failure included raised C-reactive protein [CRP], low albumin, complex disease behaviour, younger age, and baseline steroids. Highest CRP and lowest albumin measured within the 3 months preceding immunomodulator initiation outperformed baseline measurements. After model selection, only highest CRP and lowest albumin remained and the resultant Crohn's Immunomodulator CRP-Albumin [CICA] index demonstrated robust optimism-corrected discriminative performance at 12, 24, and 36 months (area under the curve [AUC] 0.84, 0.83, 0.81, respectively). Conclusions: The derived CICA index based on simple, widely available markers is feasible, internally valid, and has a high utility in predicting immunomodulator failure. This requires external, prospective validation. … (more)
- Is Part Of:
- Journal of Crohn's and colitis. Volume 15:Number 4(2021)
- Journal:
- Journal of Crohn's and colitis
- Issue:
- Volume 15:Number 4(2021)
- Issue Display:
- Volume 15, Issue 4 (2021)
- Year:
- 2021
- Volume:
- 15
- Issue:
- 4
- Issue Sort Value:
- 2021-0015-0004-0000
- Page Start:
- 583
- Page End:
- 593
- Publication Date:
- 2020-09-19
- Subjects:
- Precision medicine -- prediction -- statistical learning -- predictive model
Inflammatory bowel diseases -- Periodicals
616.344005 - Journal URLs:
- http://www.journals.elsevier.com/journal-of-crohns-and-colitis/ ↗
http://ecco-jcc.oxfordjournals.org/content/9/3 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1093/ecco-jcc/jjaa194 ↗
- Languages:
- English
- ISSNs:
- 1873-9946
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4965.651500
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 26807.xml