Faculty Bibliography

BACKGROUND:Despite reports indicating that polyps proximal to the splenic flexure have higher rates of metachronous colorectal adenocarcinoma (CRC), the role of adenoma location on surveillance recommendations remains unclear. This study aimed to analyze the association between index polyp location and post-colonoscopy CRC among participants of the Minnesota Colon Cancer Control Study (MCCCS). METHODS:The MCCCS randomized 46,551 patients 50-80 years to usual care, annual, or biennial screening with fecal occult-blood testing (FOBT). Screening was performed between 1976-1992. Positive FOBT was followed by colonoscopy. We analyzed participants whose colonoscopy revealed at least one adenoma. Patients were divided into those with at least one lesion proximal to the splenic flexure and those without. RESULTS:Of 2,295 patients, 815 had proximal adenomas. The majority were men; mean age =62 years at randomization, and 69 years at index polyp. There was a high rate of advanced adenomas: 44% ≥1 polyp ≥1 cm, 35% with villous histology, and 5% high grade dysplasia. At 20 years, 87 patients had a CRC diagnosis, and the estimated cumulative incidence of CRC was 4.3%. Proximal adenomas had a higher risk of developing a post-colonoscopy CRC (SHR=1.63, 95% CI=1.05-2.53, P=0.03), which was attenuated after adjusting for polyp multiplicity in sensitivity analyses (SHR=1.56, 95% CI=0.96-2.53, P=0.07). CONCLUSION/CONCLUSIONS:Although patients with proximal adenomas were found to have higher hazards of post-colonoscopy CRC, adjusting for polyp multiplicity attenuated the strength of association. Further research is warranted to determine whether polyp location should be factored in the determination of appropriate surveillance intervals.

INTRODUCTION/BACKGROUND:Failure to document colonoscopy follow-up needs postpolypectomy can lead to delayed detection of colorectal cancer (CRC). Automating the update of a unified follow-up date in the electronic health record (EHR) may increase the number of patients with guideline-concordant CRC follow-up screening. METHODS:Prospective pre-post design study of an automated rules engine-based tool using colonoscopy pathology results to automate updates to documented CRC screening due dates was performed as an operational initiative, deployed enterprise-wide May 2023. Participants were aged 45-75 years who received a colonoscopy November 2022 to November 2023. Primary outcome measure is rate of updates to screening due dates and proportion with recommended follow-up < 10 years. Multivariable log-binomial regression was performed (relative risk, 95% confidence intervals). RESULTS:Study population included 9,824 standard care and 19,340 intervention patients. Patients had a mean age of 58.6 ± 8.6 years and were 53.4% female, 69.6% non-Hispanic White, 13.5% non-Hispanic Black, 6.5% Asian, and 4.6% Hispanic. Postintervention, 46.7% of follow-up recommendations were updated by the rules engine. The proportion of patients with a 10-year default follow-up frequency significantly decreased (88.7%-42.8%, P < 0.001). The mean follow-up frequency decreased by 1.9 years (9.3-7.4 years, P < 0.001). Overall likelihood of an updated follow-up date significantly increased (relative risk 5.62, 95% confidence intervals: 5.30-5.95, P < 0.001). DISCUSSION/CONCLUSIONS:An automated rules engine-based tool has the potential to increase the accuracy of colonoscopy follow-up dates recorded in patient EHR. The results emphasize the opportunity for more automated and integrated solutions for updating and maintaining EHR health maintenance activities.

BACKGROUND/UNASSIGNED:Colonoscopy remains the predominant diagnostic modality for colorectal cancer (CRC), as the diagnostic performance of tumor markers in alone, particularly in the early stages of the disease, is limited. This study sought to develop a diagnostic model for CRC that integrated various laboratory parameters. METHODS/UNASSIGNED:One hundred patients with CRC were assigned to an experimental group while 114 with benign colorectal diseases and 101 healthy individuals were assigned to a control group. The clinical and laboratory data, including the tumor markers such as carcinoembryonic antigen (CEA), glycan carbohydrate antigen 19-9 (CA19-9), carbohydrate antigen 242 (CA242), blood count parameters, blood biochemical parameters, and coagulation parameters, were collected for each participant. Three machine-learning models [multilayered perceptron (MLP), eXtreme Gradient Boosting (XGBoost), and random forest (RF)] were used to construct CRC diagnostic models. The performance of each model was evaluated based on its area under the curve (AUC), sensitivity, and specificity. RESULTS/UNASSIGNED:There are 12 parameters: including CEA, CA19-9, CA242, absolute neutrophil value (NEUT), hemoglobin, the neutrophil/lymphocyte ratio, the platelet/lymphocyte ratio, alanine aminotransferase, alkaline phosphatase, aspartate aminotransferase, albumin, and prothrombin time, were selected to build the diagnostic model. For the validation set, the RF machine-learning model achieved the highest performance in identifying CRC [AUC: 0.902 (95% confidence interval: 0.812-0.989), accuracy: 0.803, sensitivity: 0.908, specificity: 0.772, positive predictive value: 0.664, negative predictive value: 0.890, and F1 score: 0.763]. The AUC, sensitivity, specificity, and Youden's index for the combined diagnosis of tumor markers CEA, CA19-9, and CA242 were 0.761, 0.486, 0.983, and 0.469, respectively. The RF diagnostic model showed better diagnostic efficacy than the combined diagnosis model of tumor markers CEA, CA19-9 and CA242. CONCLUSIONS/UNASSIGNED:The use of machine learning combined with multiple laboratory parameters effectively improved the diagnostic efficiency of CRC and provided more accurate results for clinical diagnosis.

CRC accounts for approximately a tenth of all cancer cases and deaths in the US. Due to large differences in demographics among the different states, we aim to determine trends in the CRC epidemiology and across different states, age groups, and genders. CRC rates, age-adjusted to the standard US population, were obtained from the GBD 2019 database. Time trends were estimated as annual percentage change (APC). A pairwise comparison was conducted between age- and gender-specific trends using the tests of parallelism and coincidence. Age-specific trends were also assessed in two age subgroups: younger adults aged 15-49 years and older adults aged 50-74 years. We also analyzed the prevalence, incidence, mortality, and DALYs in the US between 1990 and 2019. A total of 5.53 million patients were diagnosed with CRC in the US between 1990 and 2019. Overall, CRC incidence rates have significantly increased in younger adults (11.1 per 100,000 persons) and decreased in older adults (136.8 per 100,000 persons) (AAPC = 1.2 vs. -0.6; AAPC difference = 1.8, p < 0.001). Age-specific trends were neither identical (p < 0.001) nor parallel (p < 0.001), suggesting that CRC incidence rates are different and increasing at a greater rate in younger adults compared to older adults. However, for both men and women (49.4 and 35.2 per 100,000 persons), incidence rates have decreased over the past three decades at the same rate (AAPC = -0.5 vs. -0.5; AAPC difference = 0, p = 0.1). Geographically, the southern states had the highest mortality rates with Mississippi having the highest rate of 20.1 cases per 100,000 population in 2019. Massachusetts, New York, and the District of Colombia had the greatest decreases in mortality over the study period (-42.1%, -41.4%, and -40.9%). Decreased mortality was found in all states except Mississippi, where the mortality of CRC increased over the study period (+1.5%). This research provides crucial insights for policymakers to tailor resource allocation, emphasizing the dynamic nature of CRC burden across states and age groups, ultimately informing targeted strategies for prevention and intervention.

BACKGROUND AND AIMS/UNASSIGNED:Pouchitis is an inflammatory condition affecting the ileal pouch in patients' status after ileal pouch anal anastomosis (IPAA). This affects a significant portion of IPAA patients. Our aim was to study the prevalence of active pouch symptoms among currently treated outpatients with endoscopic pouchitis and understand patients' perspective of disease control and quality of life. METHODS/UNASSIGNED:We cross-sectionally reviewed the medical charts of patients who had undergone pouchoscopy at NYU Langone Health from 2010 to 2022 and recorded demographic, clinical, and endoscopic data. Based on the most recent data in the medical record, we defined active pouch symptoms as 2 or more current clinical symptoms and "endoscopic pouchitis" as "moderate" or "severe" by pouchoscopy. We also administered surveys in March 2023 to 296 patients with an IPAA to understand symptom control, quality of life, and interest in fecal microbiota transplant. RESULTS/UNASSIGNED:We identified 282 unique patients. The median age of patients was 46 (interquartile range 33-59), with 54.3% males. Of these, 37.2% of patients currently had active pouch symptoms, 36.9% had endoscopic pouchitis, and 14.9% met the criteria for both. Of the 296 surveys sent to patients with IPAA, 74 (25%) responded. The median age of respondents was 49.5 (interquartile range 34-62). 59.5% were male. Average treatment satisfaction score (scale of 0-10) was 6.4 and quality of life score was 5.8. A majority (64.9%) expressed interest in fecal microbiota transplant. CONCLUSION/UNASSIGNED:Outpatients with active pouch symptoms or endoscopic pouchitis have high prevalence of active disease and report ongoing symptoms. The results underscore the inadequacy of current treatments and highlight the need for additional therapeutic options.

BACKGROUND AND AIMS/OBJECTIVE:Computer-aided detection (CADe) devices have been shown to increase adenoma detection rates and adenomas per colonoscopy compared to standard colonoscopies. Questions remain about whether CADe colonoscopies are mainly increasing the detection of small, nonneoplastic lesions or if they are detecting more pathologically meaningful polyps. In this analysis, we compare the true histology rate (defined as polyps with confirmation of clinically relevant histopathology) of CADe-identified polyps with polyps identified during standard colonoscopies. METHODS:Using data from the SKOUT trial, we compared the true histology rate (THR) between CADe and standard colonoscopies. We also conducted a subgroup analysis by patient, procedural, and endoscopist factors. To account for multiple testing of comparisons, we used the false discovery rate. RESULTS:A total of 1423 participants were included (CADe, n = 714; standard, n = 709). Overall, THR was similar between the CADe and standard colonoscopy arms for adenomas, sessile serrated lesions, and large hyperplastic polyps. Higher THR with CADe colonoscopy was observed in some subgroups for adenomas. Endoscopists with 11 to 20 years of experience and procedures occurring after 12 pm had significantly higher adenoma THRs in the CADe cohort. Patients younger than 65 years, male patients, and procedures with a withdrawal time of ≥8 minutes had borderline significance in the CADe device adenoma THR subgroup. CONCLUSIONS:CADe colonoscopies may hold the key to improving endoscopic quality measures, provided that the polyps identified by the CADe device are those of clinical relevance. Although the benefit and significance in the CADe group were demonstrated in this analysis, further research is warranted to ensure that the true histology is maintained when applied in real-world applications.