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

Yoo Mi Park, Hee Sun Kim, Jae Jun Park, Su Jung Baik, Young Hoon Youn, Jie-Hyun Kim, HyoJin Park

Research output: Contribution to journalArticle

8 Citations (Scopus)

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.

Original languageEnglish
Article number7
JournalBMC Gastroenterology
Volume17
Issue number1
DOIs
Publication statusPublished - 2017 Jan 9

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Colorectal Neoplasms
Serology
HDL Lipoproteins
LDL Lipoproteins
Helicobacter pylori
Triglycerides
Colonoscopy
Body Mass Index
Logistic Models
Regression Analysis
Health

All Science Journal Classification (ASJC) codes

  • Gastroenterology

Cite this

Park, Yoo Mi ; Kim, Hee Sun ; Park, Jae Jun ; Baik, Su Jung ; Youn, Young Hoon ; Kim, Jie-Hyun ; Park, HyoJin. / A simple scoring model for advanced colorectal neoplasm in asymptomatic subjects aged 40-49 years. In: BMC Gastroenterology. 2017 ; Vol. 17, No. 1.
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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.",
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A simple scoring model for advanced colorectal neoplasm in asymptomatic subjects aged 40-49 years. / Park, Yoo Mi; Kim, Hee Sun; Park, Jae Jun; Baik, Su Jung; Youn, Young Hoon; Kim, Jie-Hyun; Park, HyoJin.

In: BMC Gastroenterology, Vol. 17, No. 1, 7, 09.01.2017.

Research output: Contribution to journalArticle

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AU - Kim, Jie-Hyun

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