A simple scoring model for advanced colorectal neoplasm in asymptomatic subjects aged 40-49 years

BMC Gastroenterol. 2017 Jan 9;17(1):7. doi: 10.1186/s12876-016-0562-9.

Abstract

Background: Limited data are available for advanced colorectal neoplasm in asymptomatic individuals aged 40-49 years. We aimed to identify risk factors and develop a simple prediction model for advanced colorectal neoplasm in these persons.

Methods: Clinical data were collected on 2781 asymptomatic subjects aged 40-49 years who underwent colonoscopy for routine health examination. Subjects were randomly allocated to a development or validation set. Logistic regression analysis was used to determine predictors of advanced colorectal neoplasm.

Results: The prevalence of overall and advanced colorectal neoplasm was 20.2 and 2.5% respectively. Older age (45-49 years), male sex, positive serology of Helicobacter pylori, and high triglyceride and low high-density lipoprotein (HDL) levels were independently associated with an increased risk of advanced colorectal neoplasm. BMI (body mass index) was not significant in multivariable analysis. We developed a simple scoring model for advanced colorectal neoplasm (range 0-9). A cutoff of ≥4 defined 43% of subjects as high risk for advanced colorectal neoplasm (sensitivity, 79%; specificity, 58%; area under the receiver operating curve = 0.72) in the validation datasets.

Conclusion: Older age (45-49 years), male sex, positive serology of H. pylori, high triglyceride level, and low HDL level were identified as independent risk factors for advanced colorectal neoplasm.

Keywords: Adenoma; Colonoscopy; Colorectal neoplasm; Risk assessment; Screening.

Publication types

  • Validation Study

MeSH terms

  • Adult
  • Age Factors
  • Area Under Curve
  • Asymptomatic Diseases*
  • Colonoscopy
  • Colorectal Neoplasms / diagnosis*
  • Colorectal Neoplasms / epidemiology
  • Colorectal Neoplasms / etiology
  • Decision Support Techniques*
  • Early Detection of Cancer / methods*
  • Female
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Prevalence
  • Retrospective Studies
  • Risk Assessment
  • Risk Factors
  • Sensitivity and Specificity
  • Sex Factors