PO.PS01.09 · 人群科学

Type-2 Diabetes, medications, and risk of multiple colorectal polyps: A colonoscopy-based study using natural language processing

编号 7603 展板 23 时间 4/22 09:00–12:00 区域 Section 35 主讲 Jessica van Onselen, BS;MS
分会场 Risk Prediction Modeling, Screening, Early Detection, and Preneoplastic and Tumor Markers
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作者与单位

Jessica van Onselen1, Ryzen Benson2, Stephanie Richardson3, Maci Winn1, Candace Winterton3, Svenja Pauleck3, Ainhoa Gomez-Lumbreras3, Polly A. Newcomb4, Cornelia M. Ulrich1, John Inadomi5, Sheetal Hardikar1

1University of Utah Huntsman Cancer Institute, Salt Lake City, UT,2Department of Radiation Oncology, University of California, San Fransico, San Francisco, CA,3Huntsman Cancer Institute, Salt Lake City, UT,4Fred Hutchinson Cancer Center, Seattle, WA,5Department of Internal Medicine, University of Utah, Salt Lake City, UT

摘要 Abstract

Introduction : Colorectal polyps are known precursors to colorectal cancer (CRC), and a higher polyp count is associated with an increased CRC risk. This study aimed to investigate the impact of type-2 diabetes (T2D) and its treatments on polyp count. Methods: We leveraged pathology reports from the University of Utah (UofU) Enterprise Data Warehouse (EDW) to develop a rule-based natural language processing pipeline, to extract polyp diagnoses and features (site, count) for 38,038 patients who underwent colonoscopy at the UofU Gastroenterology clinic from 2011-2020. We identified 6,556 patients with T2D via ICD codes and anti-diabetes medication prescriptions. Patient characteristics were extracted from the EDW, including age, sex, race, smoking, BMI, anti-inflammatory medication use, and active prescriptions for insulin, metformin, sulfonylureas, GLP-1 agonists, and DPP-4 inhibitors. Polyp count was categorized as none, one, or multiple. Adjusted odds ratios (OR) and 95% confidence intervals (CI) for polyp counts were calculated using multinomial logistic regression. Results: Patients were on average 56 years old, 84% White, 51% female, with a mean BMI of 30 kg/m 2 . 73% of patients with T2D used anti-diabetes medications. T2D alone was not associated with multiple polyps, but patients with T2D taking anti-diabetes medications had a lower risk of polyps overall, irrespective of polyp count. Insulin use was associated with an increased risk of one or multiple polyps [OR(95%CI)=1.29(1.08-1.54) and 1.40(1.18-1.66), respectively], compared to other medications. Metformin and GLP-1 agonists were both associated with a decreased risk of one [Metformin OR(95% CI)=0.71(0.59-0.85), GLP-1=0.79(0.64-0.99)] or multiple polyps [Metformin OR(95% CI)=0.71(0.52-0.73), GLP-1=0.63(0.51-0.77)], compared to patients taking medications other than metformin or GLP-1 agonists, respectively. Compared to patients taking no anti-diabetes medications, those on insulin, metformin, DPP-4 inhibitors, or sulfonylureas had an increased risk of at least one polyp, while patients taking GLP-1 agonists had a lower risk of multiple polyps [OR(95%CI)=0.81(0.63-1.03)]. DPP-4 inhibitors and sulfonylureas also had a lower risk of multiple polyps [OR(95%CI)=0.79(0.64-0.97) and 0.80(0.68, 0.96), respectively]. Conclusion: Overall, T2D alone was not associated with polyp count, but medication use modified this relationship. Insulin use was associated with increased risk, whereas the use of metformin, GLP-1 agonists, DPP-4 inhibitors, and sulfonylureas was associated with decreased risk of one or multiple polyps, compared to patients taking other anti-diabetes medications. These results highlight the potential role of T2D medication choice in altering colorectal polyp risk, underscoring the need for more research into underlying mechanisms to guide potential interventions.
利益披露 Disclosure
J. van Onselen, None.. R. Benson, None.. S. Richardson, None.. M. Winn, None.. C. Winterton, None.. S. Pauleck, None.. A. Gomez-Lumbreras, None.. P. A. Newcomb, None.. J. Inadomi, None.

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