Longitudinal Trends in Pregnancy Outcomes Among Women With Inflammatory Bowel Disease in the Era of Biologics: A 20-Year Nationwide Analysis.

BACKGROUND: Many women with inflammatory bowel disease (IBD) are diagnosed by their reproductive years. Prior literature suggests that women with IBD may be at increased risk of adverse pregnancy outcomes. Biologics have revolutionized IBD treatment, and current evidence favors continuation during pregnancy. We sought to examine trends in pregnancy outcomes over 20 years with the evolution of IBD treatment. METHODS: Using the National Inpatient Sample, IBD and non-IBD obstetric hospitalizations were identified between 1998 and 2018 using International Classification of Diseases 9 and 10 codes. Outcomes of interest included cesarean delivery, gestational diabetes, preeclampsia/eclampsia, premature rupture of membranes (PROM), preterm delivery, fetal growth restriction (FGR), fetal distress, and stillbirth. Stratified by Crohn's disease (CD), ulcerative colitis (UC), and non-IBD deliveries, temporal trends and multivariable logistic regression were analyzed. RESULTS: There were 48 986 CD patients, 30 998 UC patients, and 69 963,805 non-IBD patients. Between 1998 and 2018, CD deliveries increased from 3.3 to 12.9 per 10 000 deliveries (P < 0.001) and UC deliveries increased from 2.3 to 8.6 per 10 000 deliveries (P < 0.001). Cesarean deliveries, gestational diabetes, preeclampsia/eclampsia, PROM, FGR, and fetal distress increased over time for IBD and non-IBD women, while preterm deliveries decreased (P < 0.001). Multivariable analyses demonstrated that IBD patients had higher risk of cesarean delivery, preeclampsia/eclampsia, PROM, and preterm delivery compared with non-IBD patients. CONCLUSION: Over a 20-year period, live deliveries amongst women with IBD have increased. Trends in pregnancy outcomes have followed a similar trajectory in patients with and without IBD. However, there is still demonstrable risk of adverse pregnancy outcomes in patients with IBD.

In this study examining pregnancy trends over 20 years, the proportion of live deliveries amongst women with IBD increased steadily. Despite advances in treatment, we found that IBD still confers a higher risk for many adverse pregnancy outcomes.

Machine Learning-based Characterization of Longitudinal Health Care Utilization Among Patients With Inflammatory Bowel Diseases.

BACKGROUND: Inflammatory bowel disease (IBD) is associated with increased health care utilization. Forecasting of high resource utilizers could improve resource allocation. In this study, we aimed to develop machine learning models (1) to cluster patients according to clinical utilization patterns and (2) to predict longitudinal utilization patterns based on readily available baseline clinical characteristics. METHODS: We conducted a retrospective study of adults with IBD at 2 academic centers between 2015 and 2021. Outcomes included different clinical encounters, new prescriptions of corticosteroids, and initiation of biologic therapy. Machine learning models were developed to characterize health care utilization. Poisson regression compared frequencies of clinical encounters. RESULTS: A total of 1174 IBD patients were followed for more than 5673 12-month observational windows. The clustering method separated patients according to low, medium, and high resource utilizers. In Poisson regression models, compared with low resource utilizers, moderate and high resource utilizers had significantly higher rates of each encounter type. Comparing moderate and high resource utilizers, the latter had greater utilization of each encounter type, except for telephone encounters and biologic therapy initiation. Machine learning models predicted longitudinal health care utilization with 81% to 85% accuracy (area under the receiver operating characteristic curve 0.84-0.90); these were superior to ordinal regression and random choice methods. CONCLUSION: Machine learning models were able to cluster individuals according to relative health care resource utilization and to accurately predict longitudinal resource utilization using baseline clinical factors. Integration of such models into the electronic medical records could provide a powerful semiautomated tool to guide patient risk assessment, targeted care coordination, and more efficient resource allocation.

Impact of malnutrition and nutrition support in hospitalised patients with inflammatory bowel disease.

BACKGROUND: Malnutrition is prevalent in patients with inflammatory bowel disease (IBD) and has been associated with worse clinical outcomes. AIMS: This observational study examines trends in protein-calorie malnutrition (PCM) amongst hospitalised IBD and non-IBD patients, and the association between (1) malnutrition and (2) nutrition support and hospitalisation outcomes. METHODS: We queried the Nationwide Readmissions Database from 2010 to 2018 for hospitalisations with and without IBD. Amongst patients with IBD and concurrent PCM, we identified those who received nutrition support. Multivariable Cox proportional hazards and Kaplan-Meier analyses evaluated the associations between PCM and nutrition support and readmission and mortality. Multiple linear regression described the association between compared variables and length of stay (LOS) and total hospitalisation costs. RESULTS: This study included 1,216,033 patients (1,820,023 hospitalisations) with Crohn's disease (CD), 832,931 patients (1,089,853 hospitalizations) with ulcerative colitis (UC) and 240,488,656 patients (321,220,427 hospitalisations) without IBD. Admitted IBD patients were 2.9-3.1 times more likely to have PCM than non-IBD patients. IBD patients with PCM had a higher risk of readmission and mortality, as well as longer LOS and higher hospitalisation costs. Nutrition support (parenteral and enteral) was associated with a reduced risk of readmission, but higher mortality increased LOS and higher total hospitalisation costs. CONCLUSIONS: Malnutrition in hospitalised IBD patients remains an important contributor to readmission, mortality, LOS and healthcare costs. Providing nutrition support to IBD patients may reduce the risk of readmission. Further studies are needed to evaluate the role of nutrition support amongst hospitalised IBD patients to optimise disease and healthcare outcomes.

An outpatient telehealth elective for displaced clinical learners during the COVID-19 pandemic.

BACKGROUND: In response to the COVID-19 pandemic, medical schools suspended clinical rotations. This displacement of medical students from wards has limited experiential learning. Concurrently, outpatient practices are experiencing reduced volumes of in-person visits and are shifting towards virtual healthcare, a transition that comes with its own logistical challenges. This article describes a workflow that enabled medical students to engage in meaningful clinical education while helping an institution's outpatient practices implement remote telemedicine visits. METHODS: A 4-week virtual elective was designed to allow clinical learners to participate in virtual telemedicine patient encounters. Students were prepared with EMR training and introduced to a novel workflow that supported healthcare providers in the outpatient setting. Patients were consented to telehealth services before encounters with medical students. All collected clinical information was documented in the EMR, after which students transitioned patients to a virtual Doxy.me video appointment. Surveys were used to evaluate clinical and educational outcomes of students' participation. Elective evaluations and student reflections were also collected. RESULTS: Survey results showed students felt well-prepared to initiate patient encounters. They expressed comfort while engaging with patients virtually during telemedicine appointments. Students identified clinical educational value, citing opportunities to develop patient management plans consistent with in-person experiences. A significant healthcare burden was also alleviated by student involvement. Over 1000 total scheduled appointments were serviced by students who transitioned more than 80 % of patients into virtual attending provider waiting rooms. CONCLUSIONS: After piloting this elective with fourth-year students, pre-clerkship students were also recruited to act in a role normally associated with clinical learners (e.g., elicit patient histories, conduct a review of systems, etc.). Furthermore, additional telemedicine electives are being designed so medical students can contribute to patient care without risk of exposure to COVID-19. These efforts will allow students to continue with their clinical education during the pandemic. Medical educators can adopt a similar workflow to suit evolving remote learning needs.

Development of a Novel Peer-sharing Application to Supplement Learning from Cadaveric Dissection.

Gross anatomy dissection in contemporary medical education must balance the traditional value of learning from the cadaver with the possibilities created by the use of digital tools as supplemental resources that personalize and deepen the student learning experience. This study broadly examined the design, implementation, and use of AnatomyShare, a novel iPad application employing learner-generated content that allows students to securely share annotated images of their dissections with each other and take faculty-generated image-based quizzes during their first-year medical school gross anatomy course. Almost all students enrolled in the course used the application (N = 176; 91% use based on analytics). Seventy-five students responded to a survey asking how and when they used the application, along with their perceptions of its usefulness and contribution to learning. More students reported using the application outside of laboratory (97.3%) than during laboratory (85.3%), despite only in-laboratory use being required. Taking quizzes using the "Exam" feature was the highest rated use of AnatomyShare, and students cited that the application exposed them to anatomical variation and motivated them to correctly identify structures during dissection. While steps need to be taken to combat low-quality learner-generated content and to enhance meaningful student interaction and collaboration, AnatomyShare was a feasible and highly rated supplement to dissection that provided valuable assessment opportunities for students. Future research will examine the impact of use on course grades and engagement in gross anatomy dissection.

Sonographically Guided Office Endometrial Sampling: Indications and Results.

OBJECTIVES: The purpose of this study was to identify clinical indications in which endometrial sampling was performed under transabdominal ultrasound (US) guidance and to evaluate the outcomes of this approach in an academic practice. METHODS: We retrieved data from the electronic medical record for all patients referred to the gynecologic US unit for transabdominal US-guided endometrial sampling from January 2011 to June 2017. Data retrieved included age, parity, previous cesarean delivery or pelvic surgery, indication for endometrial biopsy, US abnormalities, clinical reasoning for US-guided sampling, and pathologic reports. RESULTS: A total of 113 patients were referred for US-guided sampling between January 2011 and June 2017. We identified the following reasons for US-guided biopsy referral: failed blind biopsy attempt, fibroids, uterine position or anomaly, need for targeted sampling, cervical stenosis, and other indications. Ninety-five of the 113 patients (84%) underwent successful US-guided endometrial sampling. Forty of the 113 patients were referred after a failed blind biopsy, with 83% subsequently undergoing successful US-guided endometrial sampling. Of the 30 patients referred for fibroids, 29 (97%) underwent successful US-guided sampling. High success rates were also noted for transabdominal US guidance referrals for the uterine position or anomaly (86%) and the need for targeted sampling (83%). CONCLUSIONS: Our results suggest that endometrial sampling performed under US guidance could be considered for patients with a failed blind approach, fibroids, uterine anomalies, and interest in targeted sampling. In such cases, US-guided sampling could be considered before surgical options.