Cargando…
A Method Using Longitudinal Laboratory Data to Predict Future Intestinal Complication in Patients with Crohn’s Disease
BACKGROUND: Stenosis, fistulization, and perforation of the bowel are severe outcomes which can occur in patients with Crohn’s disease. Accurate prediction of these events may enable clinicians to alter treatment strategies and avoid these outcomes. AIMS: To study the correlation between longitudina...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905172/ https://www.ncbi.nlm.nih.gov/pubmed/36125595 http://dx.doi.org/10.1007/s10620-022-07639-w |
_version_ | 1784883776221872128 |
---|---|
author | Irwin, James Lord, Anton Ferguson, Emma Simms, Lisa A. Hanigan, Katherine Montoya, Carlos A. Radford-Smith, Graham |
author_facet | Irwin, James Lord, Anton Ferguson, Emma Simms, Lisa A. Hanigan, Katherine Montoya, Carlos A. Radford-Smith, Graham |
author_sort | Irwin, James |
collection | PubMed |
description | BACKGROUND: Stenosis, fistulization, and perforation of the bowel are severe outcomes which can occur in patients with Crohn’s disease. Accurate prediction of these events may enable clinicians to alter treatment strategies and avoid these outcomes. AIMS: To study the correlation between longitudinal laboratory testing and subsequent intestinal complications in patients with Crohn’s disease. METHODS: An observational cohort of patients with Crohn’s disease at a single center were analyzed between 01/01/1994 and 06/30/2016. A complication was defined as the development of an intestinal fistula, stenosis, or perforation. Exploratory analysis using Cox regression was performed to select the best statistical method to represent longitudinal laboratory data. Cox regression was used to identify laboratory variables independently associated with the development of a subsequent complication. A clinical scoring tool was designed. RESULTS: In 246 patients observed over a median of 5.72 years, 134 complications occurred. Minimum or maximum value in a preceding window period of one year was most strongly associated with subsequent complication. A Longitudinal Laboratory score of ≥ 2 (maximum albumin level < 39 g/L = 1, maximum mean cell volume < 88 fL = 1, minimum platelet count > 355 × 10(9)/L = 1, minimum C reactive protein > 5 mg/L = 1) was 62% sensitive and 91% specific in identifying patients who develop a subsequent complication. CONCLUSION: A consistent reduction in serum albumin and mean cell volume, and a consistent increase in platelet count and C reactive protein were associated with a subsequent complication in patients with Crohn’s disease. Longitudinal laboratory tests may be used as described in this paper to provide a rational for earlier escalation of therapy. |
format | Online Article Text |
id | pubmed-9905172 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-99051722023-02-08 A Method Using Longitudinal Laboratory Data to Predict Future Intestinal Complication in Patients with Crohn’s Disease Irwin, James Lord, Anton Ferguson, Emma Simms, Lisa A. Hanigan, Katherine Montoya, Carlos A. Radford-Smith, Graham Dig Dis Sci Original Article BACKGROUND: Stenosis, fistulization, and perforation of the bowel are severe outcomes which can occur in patients with Crohn’s disease. Accurate prediction of these events may enable clinicians to alter treatment strategies and avoid these outcomes. AIMS: To study the correlation between longitudinal laboratory testing and subsequent intestinal complications in patients with Crohn’s disease. METHODS: An observational cohort of patients with Crohn’s disease at a single center were analyzed between 01/01/1994 and 06/30/2016. A complication was defined as the development of an intestinal fistula, stenosis, or perforation. Exploratory analysis using Cox regression was performed to select the best statistical method to represent longitudinal laboratory data. Cox regression was used to identify laboratory variables independently associated with the development of a subsequent complication. A clinical scoring tool was designed. RESULTS: In 246 patients observed over a median of 5.72 years, 134 complications occurred. Minimum or maximum value in a preceding window period of one year was most strongly associated with subsequent complication. A Longitudinal Laboratory score of ≥ 2 (maximum albumin level < 39 g/L = 1, maximum mean cell volume < 88 fL = 1, minimum platelet count > 355 × 10(9)/L = 1, minimum C reactive protein > 5 mg/L = 1) was 62% sensitive and 91% specific in identifying patients who develop a subsequent complication. CONCLUSION: A consistent reduction in serum albumin and mean cell volume, and a consistent increase in platelet count and C reactive protein were associated with a subsequent complication in patients with Crohn’s disease. Longitudinal laboratory tests may be used as described in this paper to provide a rational for earlier escalation of therapy. Springer US 2022-09-20 2023 /pmc/articles/PMC9905172/ /pubmed/36125595 http://dx.doi.org/10.1007/s10620-022-07639-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Article Irwin, James Lord, Anton Ferguson, Emma Simms, Lisa A. Hanigan, Katherine Montoya, Carlos A. Radford-Smith, Graham A Method Using Longitudinal Laboratory Data to Predict Future Intestinal Complication in Patients with Crohn’s Disease |
title | A Method Using Longitudinal Laboratory Data to Predict Future Intestinal Complication in Patients with Crohn’s Disease |
title_full | A Method Using Longitudinal Laboratory Data to Predict Future Intestinal Complication in Patients with Crohn’s Disease |
title_fullStr | A Method Using Longitudinal Laboratory Data to Predict Future Intestinal Complication in Patients with Crohn’s Disease |
title_full_unstemmed | A Method Using Longitudinal Laboratory Data to Predict Future Intestinal Complication in Patients with Crohn’s Disease |
title_short | A Method Using Longitudinal Laboratory Data to Predict Future Intestinal Complication in Patients with Crohn’s Disease |
title_sort | method using longitudinal laboratory data to predict future intestinal complication in patients with crohn’s disease |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905172/ https://www.ncbi.nlm.nih.gov/pubmed/36125595 http://dx.doi.org/10.1007/s10620-022-07639-w |
work_keys_str_mv | AT irwinjames amethodusinglongitudinallaboratorydatatopredictfutureintestinalcomplicationinpatientswithcrohnsdisease AT lordanton amethodusinglongitudinallaboratorydatatopredictfutureintestinalcomplicationinpatientswithcrohnsdisease AT fergusonemma amethodusinglongitudinallaboratorydatatopredictfutureintestinalcomplicationinpatientswithcrohnsdisease AT simmslisaa amethodusinglongitudinallaboratorydatatopredictfutureintestinalcomplicationinpatientswithcrohnsdisease AT hanigankatherine amethodusinglongitudinallaboratorydatatopredictfutureintestinalcomplicationinpatientswithcrohnsdisease AT montoyacarlosa amethodusinglongitudinallaboratorydatatopredictfutureintestinalcomplicationinpatientswithcrohnsdisease AT radfordsmithgraham amethodusinglongitudinallaboratorydatatopredictfutureintestinalcomplicationinpatientswithcrohnsdisease AT irwinjames methodusinglongitudinallaboratorydatatopredictfutureintestinalcomplicationinpatientswithcrohnsdisease AT lordanton methodusinglongitudinallaboratorydatatopredictfutureintestinalcomplicationinpatientswithcrohnsdisease AT fergusonemma methodusinglongitudinallaboratorydatatopredictfutureintestinalcomplicationinpatientswithcrohnsdisease AT simmslisaa methodusinglongitudinallaboratorydatatopredictfutureintestinalcomplicationinpatientswithcrohnsdisease AT hanigankatherine methodusinglongitudinallaboratorydatatopredictfutureintestinalcomplicationinpatientswithcrohnsdisease AT montoyacarlosa methodusinglongitudinallaboratorydatatopredictfutureintestinalcomplicationinpatientswithcrohnsdisease AT radfordsmithgraham methodusinglongitudinallaboratorydatatopredictfutureintestinalcomplicationinpatientswithcrohnsdisease |