Although autoimmune hepatitis (AIH) is more common in women and affects people of all races/ethnicities, there is currently limited information regarding the relationship between race/ethnicity and AIH, especially in the context of underserved populations. We aim to evaluate the relationship between race/ethnicity and AIH and better characterize its clinical features among different racial groups. We conducted a 15-year retrospective analysis, from January 2002 to June 2017, of patients seen at Zuckerberg San Francisco General Hospital (ZSFG). Sixty-three AIH patients and 2049 non-AIH controls were eligible for the study. The main predictor of interest was race/ethnicity, and the main outcome of interest was AIH diagnosis; other secondary measures recorded include clinical features such as ALT, bilirubin, and biopsy fibrosis at presentation. In a multivariable model adjusting for age and sex, we found that black (OR 9.6, 95% CI 1.8-178), Latino (OR 25.0, 95% CI 5.3-448), and Asian/Pacific Islander (API) (OR 10.8, 95% CI 2.2-196) race/ethnicity were associated with increased odds of an AIH diagnosis compared to the white reference group. Among people of colour with AIH, there were no significant differences in baseline ALT (p = .45), total bilirubin at presentation (p = .06), fibrosis at presentation (p = .74), and hospitalization (p = .27). Race/ethnicity is an independent risk factor for AIH. The clinical features of AIH did not differ significantly among black, Latino, and API patients.

BACKGROUND & AIMS:Reports of mailed fecal immunochemical test (FIT) outreach effectiveness over time are minimal. We aimed to better evaluate a mailed FIT program with longitudinal metrics. METHODS:A total of 10,771 patients aged 50 to 75 years not up-to-date with colorectal cancer screening were randomized to intervention or usual care. The intervention arm received an advanced notification call and informational postcard prior to a mailed FIT. Usual care was at the discretion of the primary care provider. Patients were followed for up to 2.5 years. The primary outcome was the difference in cumulative proportion of completed FIT screening between arms. Screening was further examined with the proportion of time up-to-date, consistency of adherence, and frequency of abnormal FIT. RESULTS:The cumulative proportion of FIT completion was higher in the outreach intervention (73.2% vs 55.1%; P < .001). The proportion of time covered by screening was higher in the intervention group (46.8% vs 27.3%; D19.6%; 95% confidence interval, 18.2%-20.9%). Patients assigned to FIT outreach were more likely to consistently complete FITs (2 completed of 2 offered) (50.1% vs 21.8%; P < .001). However, for patients who did not complete the FIT during the first cycle, only 17.1% completed a FIT during the second outreach cycle. The number and overall proportion of abnormal FIT was significantly higher in the outreach intervention (6.9% Outreach vs 4.1% Usual Care; P < .01).

BACKGROUND: Phone calls as part of multimodal fecal immunochemical test (FIT) outreach are effective but resource-intensive. Previous studies of advanced notification calls before FIT mailing have not differentiated patients' prior screening status. OBJECTIVE: To determine the effectiveness of a phone call preceding mailing of a FIT kit on test completion rate for patients who have completed a prior FIT. DESIGN: Randomized controlled trial nested within a larger study. All patients were assigned to receive organized mailed FIT outreach in the larger study. PARTICIPANTS: Patients in a safety-net health setting ages 50-75 years old with a previously negative FIT. INTERVENTIONS: Patients were assigned to either receive an advanced notification phone call or no phone call preceding a mailed FIT kit. Both groups received an informational postcard prior to the mailed FIT. MAIN MEASURES: The primary outcome was FIT completion rate at 1 year. The secondary outcomes were FIT completion rates at 60, 90, and 180 days, rates stratified by demographic subgroups, and rates according to outcome of the phone call. KEY RESULTS: A total of 1645 patients were assigned to advanced notification calls and 1595 were assigned to no call preceding the FIT mailing. Although FIT completion rate was higher at day 60 (55.5% vs. 50.8%, p < 0.01), an advanced notification call did not significantly improve FIT completion at 1 year (70.9% vs. 69.9%, p = 0.52). Of the patients assigned to receive an advanced notification call, 90.5% were spoken with or left a voicemail; patients who were spoken with were more likely to complete a FIT at 1 year compared with patients who were only left a voicemail or could not be left a voicemail (79.9% vs. 69.2% vs. 49.6%, p < 0.01).CONCLUSIONS: Advanced notification phone calls prior to FIT mailing did not improve rates at 1 year for patients with a previously negative FIT.

The aim of this study was to use texture analysis to establish quantitative CT-based imaging features to predict clinical severity in patients with acute alcohol-associated hepatitis (AAH). A secondary aim was to compare the performance of texture analysis to deep learning. In this study, mathematical texture features were extracted from CT slices of the liver for 34 patients with a diagnosis of AAH and 35 control patients. Recursive feature elimination using random forest (RFE-RF) was used to identify the best combination of features to distinguish AAH from controls. These features were subsequently used as predictors to determine associated clinical values. To compare machine learning with deep learning approaches, a 2D dense convolutional neural network (CNN) was implemented and trained for the classification task of AAH. RFE-RF identified 23 top features used to classify AAH images, and the subsequent model demonstrated an accuracy of 82.4% in the test set. The deep learning CNN demonstrated an accuracy of 70% in the test set. We show that texture features of the liver are unique in AAH and are candidate quantitative biomarkers that can be used in prospective studies to predict the severity and outcomes of patients with AAH.

Background The COVID-19 pandemic significantly impacted the delivery of cancer screening. The resulting decrease in outpatient visits and cancellations of non-urgent procedures have negatively affected colorectal cancer (CRC) screening. We aimed to determine the effect of the pandemic on CRC screening at a safety-net hospital and a private health system based in New York City. Methods We identified individuals eligible for CRC screening aged 50 to 75 years presenting for outpatient care at a safety-net public hospital and private health system in April through September of 2019 and 2020. The primary outcome was the proportion of screening-eligible patients seen in primary care who underwent CRC screening. Results The safety-net hospital had 516 (6.1% of screening-eligible individuals) and 269 (4.3%) screening tests completed in 2019 and 2020, respectively (p < 0.01). Fecal immunochemical tests (FIT) accounted for 69.6% of screening in 2019 and 88.1% in 2020. Colonoscopy accounted for 20.3% of screening in 2019 and 11.9% in 2020. The private health system had 39 (0.7%) and 21 (0.6%) screening tests completed in 2019 and 2020, respectively (p = 0.48). FIT accounted for 61.9% of screening in 2019 and 57.1% in 2020. Colonoscopy accounted for 38.1% of screening in 2019 and 42.9% in 2020. Conclusion Absolute numbers of screening tests decreased for both institutions during the COVID-19 pandemic. We observed a decrease in screening uptake and increase in proportional FIT use in the safety-net hospital but no change in the private health system.