Endoscopy 2016; 48(06): 563-570
DOI: 10.1055/s-0042-104275
Original article
© Georg Thieme Verlag KG Stuttgart · New York

Developing a score chart to improve risk stratification of patients with colorectal adenoma

Else-Mariëtte B. van Heijningen
1   Department of Public Health, Erasmus MC University Medical Centre, Rotterdam, The Netherlands
,
Iris Lansdorp-Vogelaar
1   Department of Public Health, Erasmus MC University Medical Centre, Rotterdam, The Netherlands
,
Frank van Hees
1   Department of Public Health, Erasmus MC University Medical Centre, Rotterdam, The Netherlands
,
Ernst J. Kuipers
2   Department of Gastroenterology and Hepatology, Erasmus MC University Medical Centre, Rotterdam, The Netherlands
3   Department of Internal Medicine, Erasmus MC University Medical Centre, Rotterdam, The Netherlands
,
Katharina Biermann
4   Department of Pathology, Erasmus MC University Medical Centre, Rotterdam, The Netherlands
,
Harry J. de Koning
1   Department of Public Health, Erasmus MC University Medical Centre, Rotterdam, The Netherlands
,
Marjolein van Ballegooijen
1   Department of Public Health, Erasmus MC University Medical Centre, Rotterdam, The Netherlands
,
Ewout W. Steyerberg
1   Department of Public Health, Erasmus MC University Medical Centre, Rotterdam, The Netherlands
,
for the SAP Study Group › Author Affiliations
Further Information

Publication History

submitted: 19 August 2015

accepted after revision: 28 December 2015

Publication Date:
11 May 2016 (online)

Background and study aims: Current surveillance guidelines risk stratify patients with adenoma by using only one or two factors: adenoma multiplicity or presence of an advanced adenoma characteristic. Combinations of adenoma characteristics are not considered, which limits the predictive value of these guidelines. The aim of the study was to develop a scoring system for more refined risk stratification of patients with adenoma.

Patients and methods: The Dutch Pathology Registry (PALGA) was used to identify newly diagnosed patients with adenoma in 10 Dutch hospitals between 1988 and 2002. Medical records were reviewed until 1 December 2008 for follow-up. Logistic regression analysis was used to assess patient- and adenoma-related predictors of metachronous advanced neoplasia. The prediction model was validated by bootstrapping and cross-validation. A score chart was developed based on identified adenoma-related predictors. The discriminative ability of the prediction model was compared with currently used risk stratifications in surveillance guidelines.

Results: A total of 2914 patients with adenoma were included (mean age 61 years; 55 % male). The score chart consisted of characteristics that contributed 1 point (size ≥ 10 mm, villous histology, proximal location, having 2 – 4 adenomas) or 2 points (having ≥ 5 adenomas). A patient’s adenoma risk score could range from 0 to 5 points. A score of 5 for a 75-year-old man implied a 5-year risk of advanced neoplasia of 46 %. The discriminative ability of the model was moderate (c-statistic 0.712) but better than risk stratifications in current international guidelines, which had c-statistics of 0.642 – 0.674.

Conclusion: A score chart that combines adenoma-related predictors of advanced colorectal neoplasia optimized the risk stratification of patients with adenoma for appropriate surveillance colonoscopy intervals.

 
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