Accuracy of diagnostic codes for identifying patients with ulcerative colitis and Crohn's disease in the Veterans Affairs Health Care System

Artificial Intelligence for Quantifying Cumulative Small Bowel Disease Severity on CT-Enterography in Crohn's Disease

INTRODUCTION

Assessing the cumulative degree of bowel injury in ileal Crohn's disease (CD) is difficult. We aimed to develop machine learning (ML) methodologies for automated estimation of cumulative ileal injury on computed tomography-enterography (CTE) to help predict future bowel surgery.

METHODS

Adults with ileal CD using biologic therapy at a tertiary care center underwent ML analysis of CTE scans. Two fellowship-trained radiologists graded bowel injury severity at granular spatial increments along the ileum (1 cm), called mini-segments. ML segmentation methods were trained on radiologist grading with predicted severity and then spatially mapped to the ileum. Cumulative injury was calculated as the sum (S-CIDSS) and mean of severity grades along the ileum. Multivariate models of future small bowel resection were compared with cumulative ileum injury metrics and traditional bowel measures, adjusting for laboratory values, medications, and prior surgery at the time of CTE.

RESULTS

In 229 CTE scans, 8,424 mini-segments underwent analysis. Agreement between ML and radiologists injury grading was strong (κ = 0.80, 95% confidence interval 0.79-0.81) and similar to inter-radiologist agreement (κ = 0.87, 95% confidence interval 0.85-0.88). S-CIDSS (46.6 vs 30.4, P = 0.0007) and mean cumulative injury grade scores (1.80 vs 1.42, P < 0.0001) were greater in CD biologic users that went to future surgery. Models using cumulative spatial metrics (area under the curve = 0.76) outperformed models using conventional bowel measures, laboratory values, and medical history (area under the curve = 0.62) for predicting future surgery in biologic users.

DISCUSSION

Automated cumulative ileal injury scores show promise for improving prediction of outcomes in small bowel CD. Beyond replicating expert judgment, spatial enterography analysis can augment the personalization of bowel assessment in CD.

Machine learning methods in automated detection of CT enterography findings in Crohn's disease: A feasibility study

PURPOSE

Qualitative findings in Crohn's disease (CD) can be challenging to reliably report and quantify. We evaluated machine learning methodologies to both standardize the detection of common qualitative findings of ileal CD and determine finding spatial localization on CT enterography (CTE).

MATERIALS AND METHODS

Subjects with ileal CD and a CTE from a single center retrospective study between 2016 and 2021 were included. 165 CTEs were reviewed by two fellowship-trained abdominal radiologists for the presence and spatial distribution of five qualitative CD findings: mural enhancement, mural stratification, stenosis, wall thickening, and mesenteric fat stranding. A Random Forest (RF) ensemble model using automatically extracted specialist-directed bowel features and an unbiased convolutional neural network (CNN) were developed to predict the presence of qualitative findings. Model performance was assessed using area under the curve (AUC), sensitivity, specificity, accuracy, and kappa agreement statistics.

RESULTS

In 165 subjects with 29,895 individual qualitative finding assessments, agreement between radiologists for localization was good to very good (κ = 0.66 to 0.73), except for mesenteric fat stranding (κ = 0.47). RF prediction models had excellent performance, with an overall AUC, sensitivity, specificity of 0.91, 0.81 and 0.85, respectively. RF model and radiologist agreement for localization of CD findings approximated agreement between radiologists (κ = 0.67 to 0.76). Unbiased CNN models without benefit of disease knowledge had very similar performance to RF models which used specialist-defined imaging features.

CONCLUSION

Machine learning techniques for CTE image analysis can identify the presence, location, and distribution of qualitative CD findings with similar performance to experienced radiologists.

Inflammatory Bowel Disease Hospitalizations Are Similar for Patients Receiving Televisit-Delivered Outpatient Care and Those Receiving Traditional In-Person Care

INTRODUCTION

The coronavirus disease 2019 pandemic resulted in widespread expansion of telehealth. However, there are concerns that telehealth-delivered outpatient care may limit opportunities for managing complications and preventing hospitalizations for patients with inflammatory bowel disease (IBD). We aimed to assess the association between outpatient IBD care delivered through televisit (video or phone) and IBD-related hospitalizations.

METHODS

We conducted a case-control study of patients with IBD who had an IBD-related index hospitalization between April 2021 and July 2022 and received their care in the Veterans Health Administration. We matched these hospitalized patients to controls who were not hospitalized based on age, sex, race, Charlson comorbidity index, IBD type, IBD-related emergency department use, IBD-related hospitalizations, and outpatient gastroenterology visits in the preceding year. The variable of interest was the percentage of total clinic visits delivered through televisit in the year before the index hospitalization. We compared the risk of IBD-related hospitalization by exposure to televisit-delivered care using conditional logistic regression.

RESULTS

We identified 534 patients with an IBD-related hospitalization and 534 matched controls without an IBD-related hospitalization during the study period. Patients with IBD with a higher percentage of televisit-delivered (vs in-person) outpatient care were less likely to be hospitalized during the study period (for every 10% increase in televisit use, odds ratio 0.97, 95% confidence interval 0.94-1.00; P = 0.03).

DISCUSSION

Televisit-delivered outpatient IBD care is not associated with higher risk of IBD-related hospitalization. These findings may reassure clinicians that televisit-delivered outpatient care is appropriate for patients with complex chronic diseases such as IBD.

Concurrence of inflammatory bowel disease with multiple sclerosis or Hodgkin lymphoma

BACKGROUND AND AIMS

Epidemiologic evidence suggests that Hodgkin lymphoma (HL) and multiple sclerosis (MS) share a common set of risk factors with Crohn's disease (CD) and ulcerative colitis (UC). It was hypothesized that such shared risk factors would lead to clustering of the 4 diagnoses in the same patients.

METHODS

All patients with HL, MS, CD, or UC were identified in the veterans population from 2016-2020 and the Medicare population from 1986 to 1989. In a case-control study, the observed concurrences amongst these 4 diagnoses were compared with their expected frequencies in the overall veterans or Medicare population during the same time period by calculating odds ratios (OR) with their 95% confidence intervals (CI).

RESULTS

The study included 6 million veterans and 35 million Medicare patients. In the veterans population, inflammatory bowel disease (IBD) was significantly associated with a concurrent diagnosis of HL (OR: 1.40, 95% CI: 1.15-1.71) and MS (1.34, 1.19-1.50). In the Medicare population, IBD was also significantly associated with HL (1.84, 1.07-3.17) and MS (2.31, 1.59-3.35). Similar trends were observed in CD or UC when analyzed separately in both datasets. In the veterans population, adjustment for the potentially confounding influence of ethnicity, sex, and age left all OR values largely unaffected and statistically significant.

CONCLUSION

The concurrence of IBD with HL or MS could reflect on a common pathway in the etiology or pathogenesis of these 4 diseases.

Developing International Classification of Disease code definitions for the study of enteric infection sequelae in Canada

Background

Enteric infections and their chronic sequelae are a major cause of disability and death. Despite the increasing use of administrative health data in measuring the burden of chronic diseases in the population, there is a lack of validated International Classification of Disease (ICD) code-based case definitions, particularly in the Canadian context. Our objective was to validate ICD code definitions for sequelae of enteric infections in Canada: acute kidney injury (AKI); hemolytic uremic syndrome (HUS); thrombotic thrombocytopenic purpura (TTP); Guillain-Barré syndrome/Miller-Fisher syndrome (GBS/MFS); chronic inflammatory demyelinating polyneuropathy (CIDP); ankylosing spondylitis (AS); reactive arthritis; anterior uveitis; Crohn's disease, ulcerative colitis, celiac disease, erythema nodosum (EN); neonatal listeriosis (NL); and Graves' disease (GD).

Methods

We used a multi-step approach by conducting a literature review to identify existing validated definitions, a clinician assessment of the validated definitions, a chart review to verify proposed definitions and a final clinician review. We measured the sensitivity and positive predictive value (PPV) of proposed definitions.

Results

Forty studies met inclusion criteria. We identified validated definitions for 12 sequelae; clinicians developed three (EN, NL, GD). We reviewed 181 charts for 6 sequelae (AKI, HUS, TTP, GBS/MFS, CIDP, AS). Sensitivity (42.8%-100%) and PPV (63.6%-100%) of ICD code definitions varied. Six definitions were modified by clinicians following the chart review (AKI, TTP, GBS/MFS, CIDP, AS, reactive arthritis) to reflect coding practices, increase specificity or sensitivity, and address logistical constraints.

Conclusion

The multi-step design to derive ICD code definitions provided flexibility to identify existing definitions, to improve their sensitivity and PPV and adapt them to the Canadian context.

Corticosteroids Increase the Risk of Invasive Fungal Infections More Than Tumor Necrosis Factor-Alpha Inhibitors in Patients With Inflammatory Bowel Disease

Background

Invasive fungal infections are a devastating complication of inflammatory bowel disease (IBD) treatment. We aimed to determine the incidence of fungal infections in IBD patients and examine the risk with tumor necrosis factor-alpha inhibitors (anti-TNF) compared with corticosteroids.

Methods

In a retrospective cohort study using the IBM MarketScan Commercial Database we identified US patients with IBD and at least 6 months enrollment from 2006 to 2018. The primary outcome was a composite of invasive fungal infections, identified by ICD-9/10-CM codes plus antifungal treatment. Tuberculosis (TB) infections were a secondary outcome, with infections presented as cases/100 000 person-years (PY). A proportional hazards model was used to determine the association of IBD medications (as time-dependent variables) and invasive fungal infections, controlling for comorbidities and IBD severity.

Results

Among 652 920 patients with IBD, the rate of invasive fungal infections was 47.9 cases per 100 000 PY (95% CI 44.7-51.4), which was more than double the TB rate (22 cases [CI 20-24], per 100 000 PY). Histoplasmosis was the most common invasive fungal infection (12.0 cases [CI 10.4-13.8] per 100 000 PY). After controlling for comorbidities and IBD severity, corticosteroids (hazard ratio [HR] 5.4; CI 4.6-6.2) and anti-TNFs (HR 1.6; CI 1.3-2.1) were associated with invasive fungal infections.

Conclusions

Invasive fungal infections are more common than TB in patients with IBD. The risk of invasive fungal infections with corticosteroids is more than double that of anti-TNFs. Minimizing corticosteroid use in IBD patients may decrease the risk of fungal infections.

Distinct health care use patterns of patients with chronic gastrointestinal diseases

OBJECTIVES

Patients with complex chronic conditions have varying multidisciplinary care needs and utilization patterns, which limit the effectiveness of initiatives designed to improve continuity of care (COC) and reduce utilization. Our objective was to categorize patients with complex chronic conditions into distinct groups by pattern of outpatient care use and COC to tailor interventions.

STUDY DESIGN

Observational cohort study from 2014 to 2015.

METHODS

We identified patients whose 1-year hospitalization risk was in at least the 90th percentile in 2014 who had a chronic gastrointestinal disease (cirrhosis, inflammatory bowel disease, chronic pancreatitis) as case examples of complex chronic disease. We described frequency of office visits, number of outpatient providers, and 2 COC measures (usual provider of care, Bice-Boxerman COC indices) over 12 months. We used latent profile analysis, a statistical method for identifying distinct subgroups, to categorize patients based on overall, primary care, gastroenterology, and mental health continuity patterns.

RESULTS

The 26,751 veterans in the cohort had a mean (SD) of 13.3 (8.6) office visits and 7.2 (3.8) providers in 2014. Patients were classified into 5 subgroups: (1) high gastroenterology-specific COC with mental health use; (2) high gastroenterology-specific COC without mental health use; (3) high overall utilization with mental health use; (4) low overall COC with mental health use; and (5) low overall COC without mental health use. These groups varied in their sociodemographic characteristics and risk for hospitalization, emergency department use, and mortality.

CONCLUSIONS

Patients at high risk for health care utilization with specialty care needs can be grouped by varying propensity for health care continuity patterns.

Comparative Effectiveness of Surveillance Colonoscopy Intervals on Colorectal Cancer Outcomes in a National Cohort of Patients with Inflammatory Bowel Disease

BACKGROUND & AIMS

Surveillance colonoscopy is recommended to reduce colorectal cancer (CRC)-related morbidity and mortality in patients with inflammatory bowel disease (IBD). The comparative effectiveness of varying colonoscopy intervals on CRC outcomes among patients with IBD is unknown.

METHODS

We performed a retrospective cohort study of patients with confirmed CRC within a cohort of 77,824 patients with IBD during 2000 to 2015 in the National Veterans Health Administration. We examined the association between colonoscopy surveillance intervals on CRC stage, treatment, or all-cause and cancer-specific mortality. The interval of colonoscopy prior to CRC diagnosis was categorized as those performed within <1 year, 1 to 3 years, 3 to 5 years, or none within 5 years.

RESULTS

Among 566 patients with CRC-IBD, most (69.4%) did not have colonoscopy within 5 years prior to CRC diagnosis, whereas 9.7% had colonoscopy within 1 year prior to diagnosis, 17.7% within 1 to 3 years, and 3.1% between 3 and 5 years. Compared with no surveillance, colonoscopy within 1 year (adjusted odds ratio, 0.40; 95% confidence interval [CI], 0.20-0.82), and 1 to 3 years (adjusted odds ratio, 0.56; 95% CI, 0.32-0.98) were less likely to be diagnosed at late stage. Regardless of IBD type and duration, colonoscopy within 1 year was associated with a lower all-cause mortality (adjusted hazard ratio, 0.56; 95% CI, 0.36-0.88).

CONCLUSIONS

In a national cohort of patients with CRC-IBD, colonoscopy within 3 years prior to CRC diagnosis was associated with early tumor stage at diagnosis, and colonoscopy within 1 year was associated with a reduced all-cause mortality compared with no colonoscopy. Our findings support colonoscopy intervals of 1 to 3 years in patients with IBD to reduce late-stage CRC and all-cause mortality.

The Association Between Nonsteroidal Anti-Inflammatory Drug Use and Inflammatory Bowel Disease Exacerbations: A True Association or Residual Bias?

INTRODUCTION

Studies suggest that nonsteroidal anti-inflammatory drugs (NSAID) may contribute to inflammatory bowel disease (IBD) exacerbations. We examined whether variation in the likelihood of IBD exacerbations is attributable to NSAID.

METHODS

In a cohort of patients with IBD (2004-2015), we used 3 analytic methods to examine the likelihood of an exacerbation after an NSAID exposure. First, we matched patients by propensity for NSAID use and examined the association between NSAID exposure and IBD exacerbation using an adjusted Cox proportional hazards model. To assess for residual confounding, we estimated a previous event rate ratio and used a self-controlled case series analysis to further explore the relationship between NSAID and IBD exacerbations.

RESULTS

We identified 15,705 (44.8%) and 19,326 (55.2%) IBD patients with and without an NSAID exposure, respectively. Findings from the Cox proportional hazards model suggested an association between NSAID and IBD exacerbation (hazard ratio 1.24; 95% confidence interval 1.16-1.33). However, the likelihood of an IBD exacerbation in the NSAID-exposed arm preceding NSAID exposure was similar (hazard ratio 1.30; 95% confidence interval 1.21-1.39). A self-controlled case series analysis of 3,968 patients who had both an NSAID exposure and IBD exacerbation demonstrated similar exacerbation rates in the 1 year preceding exposure, 2-6 weeks postexposure, and 6 weeks to 6 months postexposure, but a higher incidence in 0-2 weeks postexposure, suggesting potential confounding by reverse causality.

DISCUSSION

While we see an association between NSAID and IBD exacerbations using traditional methods, further analysis suggests this may be secondary to residual bias. These findings may reassure patients and clinicians considering NSAID as a nonopioid pain management option.

Real-world utilization of top-down and step-up therapy and initial costs in Crohn disease

BACKGROUND: Medication treatment strategies for Crohn disease (CD) include step-up (SU) therapy, beginning with oral anti-inflammatory agents, and top-down (TD) therapy, beginning with biologics or immunomodulators. The real-world utilization and short-term medical costs associated with these treatment strategies are not well described. OBJECTIVE: To examine the prevalence of TD therapy use over time and compare the first-year direct medical expenditures among patients initiating CD medication treatment with SU and TD therapy in a real-world setting. METHODS: We conducted a retrospective cohort study of Optum Clinformatics Data Mart examining adult patients with CD newly initiated on medication therapy from 2010 to 2018. Included patients had a CD-indicated medication dispensed within 60 days after their initial CD diagnosis, were continuously enrolled in the health plan throughout the study period, and did not have comorbidities treated with a biologic also indicated for CD. A generalized linear model was used to quantify the differences in adjusted mean first-year CD-specific, direct nonpharmacy medical costs between users of TD and SU therapy. RESULTS: We identified 3,157 patients newly initiating medication therapy for CD (2,392 [75.8%] patients treated with SU therapy and 765 [24.2%] treated with TD therapy). The use of TD therapy over the study period increased from 17% in 2011 to 31% in 2017. TD therapy was also associated with a 149.8% ($1,230) higher adjusted average per-patient first-year CD-direct nonpharmacy medical cost compared with SU therapy (adjusted ratio of cost for TD compared with SU [2.498, 95% CI = 2.12-2.95]). CONCLUSIONS: In patients newly initiating medication therapy for CD, TD therapy use increased between 2010 and 2017 and was associated with higher first-year nonpharmacy medical expenditure. These findings align with the strategy of initiating TD therapy in patients with a higher disease burden. Further research is needed to determine long-term overall health care costs and clinical outcomes associated with SU and TD strategies in a real-world setting. DISCLOSURES: Dr Caffrey received research funding from Gilead, Merck, Pfizer, and Shionogi and is a speaker for Merck. The views expressed are those of the author and do not necessarily reflect the position or policy of the US Department of Veterans Affairs. Material is based on work supported, in part, by the Office of Research and Development.

Colorectal Cancer Risk Is Impacted by Sex and Type of Surgery After Bariatric Surgery

PURPOSE

Sex differences exist in the associations between obesity and the risk of colorectal cancer (CRC). However, limited data exist on how sex affects CRC risk after bariatric surgery.

MATERIALS AND METHODS

This retrospective cohort study used the 2012-2020 MarketScan database. We employed a propensity-score-matched analysis and precise coding to define CRC in this nationwide US study. Adjusted hazards ratio (HR) assessed CRC risk ≥ 6 months. In a restricted analysis, logistic regression with adjusted odds ratios (OR) examined CRC risk ≥ 3 years.

RESULTS

Our sample included 327,734 controls with severe obesity and 88,630 patients with Roux-en-Y gastric bypass (RYGB) or sleeve gastrectomy (VSG). The odds of cessation of diabetes mellitus medications, a surrogate for diabetes remission, were higher post-surgery vs. controls, especially in RYGB and males. In females, CRC risk decreased post-RYGB compared to controls (HR = 0.40, 95%CI: 0.18-0.87, p = 0.02). However, VSG was not associated with lower CRC risk in females. Paradoxically, in males compared to controls, CRC risk trended toward an almost significant increase, especially after 3 years or more from surgery (OR = 2.18, 95%CI: 0.97-4.89, p = 0.06). Males had a higher risk of CRC, particularly rectosigmoid cancer, than females after bariatric surgery (HR = 2.69, 95% CI: 1.35-5.38, p < 0.001). Furthermore, diabetes remission was not associated with a lower CRC risk post-surgery.

CONCLUSION

Our data suggest an increased risk of CRC in males compared to females after bariatric surgery. Compared to controls, there was a decrease in CRC risk in females' post-RYGB but not VSG. Mechanistic studies are needed to explain these differences.

Identifying the Presence, Activity, and Status of Extraintestinal Manifestations of Inflammatory Bowel Disease Using Natural Language Processing of Clinical Notes

BACKGROUND

Extraintestinal manifestations (EIMs) occur commonly in inflammatory bowel disease (IBD), but population-level understanding of EIM behavior is difficult. We present a natural language processing (NLP) system designed to identify both the presence and status of EIMs using clinical notes from patients with IBD.

METHODS

In a single-center retrospective study, clinical outpatient electronic documents were collected in patients with IBD. An NLP EIM detection pipeline was designed to determine general and specific symptomatic EIM activity status descriptions using Python 3.6. Accuracy, sensitivity, and specificity, and agreement using Cohen's kappa coefficient were used to compare NLP-inferred EIM status to human documentation labels.

RESULTS

The 1240 individuals identified as having at least 1 EIM consisted of 54.4% arthritis, 17.2% ocular, and 17.0% psoriasiform EIMs. Agreement between reviewers on EIM status was very good across all EIMs (κ = 0.74; 95% confidence interval [CI], 0.70-0.78). The automated NLP pipeline determining general EIM activity status had an accuracy, sensitivity, specificity, and agreement of 94.1%, 0.92, 0.95, and κ = 0.76 (95% CI, 0.74-0.79), respectively. Comparatively, prediction of EIM status using administrative codes had a poor sensitivity, specificity, and agreement with human reviewers of 0.32, 0.83, and κ = 0.26 (95% CI, 0.20-0.32), respectively.

CONCLUSIONS

NLP methods can both detect and infer the activity status of EIMs using the medical document an information source. Though source document variation and ambiguity present challenges, NLP offers exciting possibilities for population-based research and decision support in IBD.

Artificial Intelligence and the Future of Gastroenterology and Hepatology

The integration of artificial intelligence (AI) into gastroenterology and hepatology (GI) will inevitably transform the practice of GI in the coming decade. While the application of AI in health care is not new, advancements are occurring rapidly, and the future landscape of AI is beginning to come into focus. From endoscopic assistance via computer vision technology to the predictive capabilities of the vast information contained in the electronic health records, AI promises to optimize and expedite clinical and procedural practice and research in GI. The extensive body of literature already available on AI applications in gastroenterology may seem daunting at first; however, this review aims to provide a breakdown of the key studies conducted thus far and demonstrate the many potential ways this technology may impact the field. This review will also take a look into the future and imagine how GI can be transformed over the coming years, as well as potential limitations and pitfalls that must be overcome to realize this future.

Phenotypic Presentations of Heart Failure Among Patients With Chronic Inflammatory Diseases

Objective

Characterize incident heart failure (HF) phenotypes among patients with various chronic inflammatory diseases (CIDs).

Background

Several CIDs are associated with increased HF risk, but differences in HF phenotypes across CIDs are incompletely understood. No prior studies to our knowledge have manually adjudicated HF phenotypes across a CID spectrum.

Methods

We screened for patients with—and controls without—CIDs who had possible HF, then hand-adjudicated HF endpoints. Possible HF resulted from a single HF administrative code; HF was deemed definite/probable vs. absent using standardized, validated criteria. We queried adjudicated HF patients' charts to define specific HF phenotypes, then compared clinical, demographic, and HF phenotypic characteristics for HF patients with specific CIDs vs. non-CID controls using Fisher's exact test.

Results

Out of 415 possible HF patients, 192 had definite/probable HF. Significant differences in HF phenotypes existed across CIDs. Isolated right-sided HF was present in 27.8% of patients with SSc and adjudicated HF, which is more than twice as common as it was in any other CID. Left ventricular systolic dysfunction was most common in patients with HIV and lupus (SLE); mean LVEF was 45.0% ± 18.6% for HIV and 41.3% ± 17.1% for SLE, but was 57.7% ± 10.7% for SSc. Those with HIV and multiple CIDs were most likely to have coronary artery disease.

Conclusions

Different CIDs present with different phenotypes of physician-adjudicated HF, potentially reflecting different underlying inflammatory pathophysiologies. Larger studies are needed to confirm these findings, as are mechanistic studies focused on understanding specific immunoregulatory contributors to HF.

Validation of a claims-based algorithm to identify cases of ulcerative colitis in Japan

BACKGROUND AND AIM

The prevalence of ulcerative colitis (UC) is increasing in Japan. Validated claims-based definitions are required to investigate the epidemiology of UC and its treatment and disease course in clinical practice. This study aimed to develop a claims-based algorithm for UC in Japan.

METHODS

A committee of epidemiologists, gastroenterologists, and internal medicine physicians developed a claims-based definition for UC, based on diagnostic codes and claims for UC treatments, procedures (cytapheresis), or surgery (postoperative claims). Claims data and medical records for a random sample of 200 cases per site at two large tertiary care academic centers in Japan were used to calculate the positive predictive value (PPV) of the algorithm for three gold standards of diagnosis, defined as physician diagnosis in the medical records, adjudicated cases, or registration in the Japanese Intractable Disease Registry (IDR).

RESULTS

Overall, 1139 claims-defined UC cases were identified. Among 393 randomly sampled cases (mean age 44; 48% female), 94% had received ≥ 1 systemic treatment (immunosuppressants, tumor necrosis factor inhibitors, corticosteroids, or antidiarrheals), 7% had cytapheresis, and 7% had postoperative claims. When physician diagnosis was used as a gold standard, PPV was 90.6% (95% confidence interval [CI]: 87.7-93.5). PPV with expert adjudication was also 90.6% (95% CI: 87.7-93.5). PPVs with enrollment in the IDR as gold standard were lower at 41.5% (95% CI: 36.6-46.3) due to incomplete case registration.

CONCLUSIONS

The claims-based algorithm developed for use in Japan is likely to identify UC cases with high PPV for clinical studies using administrative claims databases.

Associations of Inflammatory Bowel Disease and Subsequent Cancers in a Population-Based Study of Older Adults in the United States

BACKGROUND

Cancer risk is elevated in patients with inflammatory bowel disease (IBD). A comprehensive investigation of cancer risk in older patients (≥66 years of age) is needed, because this understudied population is at high risk.

METHODS

We performed a case-control study using Surveillance Epidemiology and End Results-Medicare data including 1 986 735 incident cancer cases (aged 66-99 years; diagnosed 1992-2015) and 200 000 controls matched by sex, age, race and ethnicity, and selection year. IBD was identified by ulcerative colitis (UC) or Crohn's disease (CD) diagnosis codes. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated with logistic regression, adjusting for potential confounders. For colorectal cancers, we further adjusted for screening rates. We assessed confounding by medication exposure among patients with prescription drug coverage.

RESULTS

IBD, CD, and UC were present in 0.8%, 0.3%, and 0.5% in both cancer cases and non-cancer controls. Of 51 cancers examined, IBD was statistically significantly associated with cancers of the small intestine (OR = 2.55, 95% CI = 2.15 to 3.01), intrahepatic (OR = 1.92, 95% CI = 1.47 to 2.51) and extrahepatic bile ducts (OR = 1.75, 95% CI = 1.38 to 2.22), rectum (OR = 1.61, 95% CI = 1.36 to 1.90), and colon (OR = 1.21, 95% CI = 1.10 to 1.33). CD was associated with cancers of the small intestine (OR = 4.55, 95% CI = 3.65 to 5.67), and UC was associated with cancers of the intrahepatic bile ducts (OR = 1.87, 95% CI = 1.34 to 2.61), rectum (OR = 1.80, 95% CI = 1.47 to 2.20), and colon (OR = 1.28, 95% CI = 1.14 to 1.43). After adjusting for medication exposure, IBD was not statistically significantly associated with lung cancer, melanoma, diffuse large B-cell lymphoma, and myelodysplastic syndrome.

CONCLUSIONS

In this large study among older adults (≥66 years of age), IBD was positively associated with gastrointestinal cancers. Associations with extraintestinal cancers may reflect the effect of immunosuppressive medications.

Opioid-related emergency department visits and hospitalizations among patients with chronic gastrointestinal symptoms and disorders dually enrolled in the Department of Veterans Affairs and Medicare Part D

PURPOSE

We examined the prevalence of, and factors associated with, serious opioid-related adverse drug events (ORADEs) that led to an emergency department (ED) visit or hospitalization among patients with chronic gastrointestinal (GI) symptoms and disorders dually enrolled in the Department of Veterans Affairs (VA) and Medicare Part D.

METHODS

In this retrospective cohort study, we used linked national patient-level data (April 1, 2011, to October 31, 2014) from the VA and Centers for Medicare and Medicaid Services to identify serious ORADEs among dually enrolled veterans with a chronic GI symptom or disorder. Outcome measures included serious ORADEs, defined as an ED visit attributed to an ORADE or a hospitalization where the principal or secondary reason for admission involved an opioid. We used multiple logistic regression models to determine factors independently associated with a serious ORADE.

RESULTS

We identified 3,430 veterans who had a chronic GI symptom or disorder; were dually enrolled in the VA and Medicare Part D; and had a serious ORADE that led to an ED visit, hospitalization, or both. The period prevalence of having a serious ORADE was 2.4% overall and 4.4% among veterans with chronic opioid use (≥90 consecutive days). Veterans with serious ORADEs were more likely to be less than 40 years old, male, white, and to have chronic abdominal pain, functional GI disorders, chronic pancreatitis, or Crohn's disease. They were also more likely to have used opioids chronically and at higher daily doses.

CONCLUSION

There may be a considerable burden of serious ORADEs among patients with chronic GI symptoms and disorders. Future quality improvement efforts should target this vulnerable population.

Prevalence and Predictors of Stroke in Patients with Crohn's Disease: A Nationwide Study

OBJECTIVES

Mounting evidence points to the microbiome as a susceptibility factor for neurological disorders. Patients with Crohn's disease (CD) are at higher ischemic stroke (IS) risk, but no large scale epidemiologic studies have identified risk factors for stroke in this population.

MATERIALS AND METHODS

We analyzed the 2017 Nationwide Inpatient Sample (NIS) dataset to identify patients with a discharge diagnosis of Crohn's disease using the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) code K50.X. We identified patients with a primary/secondary discharge diagnosis of IS using ICD-10-CM code I63.X. We compared sociodemographic and clinical variables between stroke and non-stroke patients with CD. Logistic regression analysis was applied to identify factors associated with IS.

RESULTS

Of 30,212 patients with CD, 369 (1.2 %) had a discharge diagnosis of IS. Older age (odds ratio [OR], 1.03 [95% CI, 1.02-1.04], top quartile income (OR, 1.58 [95% CI, 1.10-2.30]), and hospitalization in a South Atlantic (OR, 1.82 [95% CI, 1.11-3.14]), East South Central (OR, 2.30 [95% CI, 1.28-4.25]), or West South Central hospital (OR, 2.40 [95% CI, 1.39-4.28]) were independently associated with IS. Clinical variables independently associated with IS in patients with CD included: atrial fibrillation (OR, 1.66 [95% CI, 1.15-2.33]), atherosclerosis (OR, 2.41 [95% CI, 1.32-4.10]), hyperlipidemia (OR, 1.69 [95% CI, 1.33-2.15]), hypertension (OR, 1.53 [95% CI, 1.18-1.98]) and valvular disease (OR, 1.62 [95% CI, 1.01-2.48).

CONCLUSION

A subset of traditional stroke risk factors are associated with IS in patients with CD. CD patients with these conditions could be targeted for vascular risk reduction and surveillance.

Obesity in Inflammatory Bowel Disease Is Associated with Early Readmissions Characterised by an Increased Systems and Patient-level Burden

BACKGROUND AND AIMS

Rates of obesity are rising in patients with inflammatory bowel disease [IBD]. We conducted a US population-based study to determine the effects of obesity on outcomes in hospitalised patients with IBD.

METHODS

We searched the Nationwide Readmissions Database 2016-2017 to identify all adult patients hospitalised for IBD, using ICD-10 codes. We compared obese (body mass index [BMI] ≥ 30) vs non-obese [BMI < 30] patients with IBD to evaluate the independent effects of obesity on readmission, mortality, and other hospital outcomes. Multivariate regression and propensity matching were performed.

RESULTS

We identified 143 190 patients with IBD, of whom 9.1% were obese. Obesity was independently associated with higher all-cause readmission at 30 days {18% vs 13% (adjusted odds ratio [aOR] 1.16, p = 0.005)} and 90 days (29% vs 21% [aOR 1.27, p < 0.0001]), as compared with non-obese patients, with similar findings upon a propensity-matched sensitivity analysis. Obese and non-obese patients had similar risks of mortality on index admission [0.24% vs 0.31%, p = 0.18] and readmission [1.5% vs 1.8% p = 0.3]. Obese patients had longer [5.3 vs 4.9 days] and more expensive [USD12,195 vs USD11,154] hospitalisations on index admission. Obesity did not affect the risk of intestinal surgery or bowel obstruction. Compared with index admissions, readmissions were characterised by increased mortality [6-fold], health care use, and bowel obstruction [3-fold] [all p < 0.0001].

CONCLUSIONS

Obesity in IBD appears to be associated with increased early readmission, characterised by a higher burden, despite the introduction of weight-based therapeutics. Prevention of obesity should be a focus in the treatment of IBD to decrease readmission and health care burden.

Variation in Provider Connectedness Associates With Outcomes of Inflammatory Bowel Diseases in an Analysis of Data From a National Health System

BACKGROUND & AIMS

Inflammatory bowel diseases (IBD) often require multidisciplinary care with tight coordination among providers. Provider connectedness, a measure of the relationship among providers, is an important aspect of care coordination that has been linked to higher quality care. We aimed to assess variation in provider connectedness among medical centers, and to understand the association between this established measure of care coordination and outcomes of patients with IBD.

METHODS

We conducted a national cohort study of 32,949 IBD patients with IBD from 2005 to 2014. We used network analysis to examine provider connectedness, defined using network properties that measure the strength of the collaborative relationship, team cohesiveness, and between-facility collaborations. We used multilevel modeling to examine variations in provider connectedness and association with patient outcomes.

RESULTS

There was wide variation in provider connectedness among facilities in complexity, rural designation, and volume of patients with IBD. In a multivariable model, patients followed in a facility with team cohesiveness (odds ratio, 0.38; 95% CI, 0.16-0.88) and where providers often collaborated with providers outside their facility (odds ratio, 0.48; 95% CI, 0.31-0.75) were less likely to have clinically active disease, defined by a composite of outpatient flare, inpatient flare, and IBD-related surgery.

CONCLUSIONS

A national study found evidence for heterogeneity in patient-sharing among IBD care teams. Patients with IBD seen at health centers with higher provider connectedness appear to have better outcomes. Understanding provider connectedness is a step toward designing network-based interventions to improve coordination and quality of care.

High-Dose Opioid Use Among Veterans with Unexplained Gastrointestinal Symptoms Versus Structural Gastrointestinal Diagnoses

BACKGROUND

In a cohort of Veterans dually enrolled in the Department of Veterans Affairs (VA) and Medicare Part D, we sought to describe high-dose daily opioid use among Veterans with unexplained gastrointestinal (GI) symptoms and structural GI diagnoses and examine factors associated with high-dose use.

METHODS

We used linked national patient-level data from the VA and Centers for Medicare and Medicaid Services (CMS). We grouped patients into 3 subsets: those with unexplained GI symptoms (e.g., chronic abdominal pain); structural GI diagnoses (e.g., chronic pancreatitis); and those with a concurrent unexplained GI symptom and structural GI diagnosis. High-dose daily opioid use levels were examined as a binary variable [≥ 100 morphine milligram equivalents (MME)/day] and as an ordinal variable (50-99 MME/day, 100-119 MME/day, or ≥ 120 MME/day).

RESULTS

We identified 141,805 chronic GI patients dually enrolled in VA and Part D. High-dose opioid use was present in 11% of Veterans with unexplained GI symptoms, 10% of Veterans with structural GI diagnoses, and 15% of Veterans in the concurrent GI group. Compared to Veterans with only an unexplained GI symptom or structural diagnosis, concurrent GI patients were more likely to have higher daily opioid doses, more opioid days ≥ 100 MME, and higher risk of chronic use. Factors associated with high-dose use included opioid receipt from both VA and Part D, younger age, and benzodiazepine use.

CONCLUSIONS

A significant subset of chronic GI patients in the VA are high-dose opioid users. Efforts are needed to reduce high-dose use among Veterans with concurrent GI symptoms and diagnoses.

Development of algorithms for identifying patients with Crohn's disease in the Japanese health insurance claims database

Background

Real-world big data studies using health insurance claims databases require extraction algorithms to accurately identify target population and outcome. However, no algorithm for Crohn’s disease (CD) has yet been validated. In this study we aim to develop an algorithm for identifying CD using the claims data of the insurance system.

Methods

A single-center retrospective study to develop a CD extraction algorithm from insurance claims data was conducted. Patients visiting the Kitasato University Kitasato Institute Hospital between January 2015–February 2019 were enrolled, and data were extracted according to inclusion criteria combining the Tenth Revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10) diagnosis codes with or without prescription or surgical codes. Hundred cases that met each inclusion criterion were randomly sampled and positive predictive values (PPVs) were calculated according to the diagnosis in the medical chart. Of all cases, 20% were reviewed in duplicate, and the inter-observer agreement (Kappa) was also calculated.

Results

From the 82,898 enrolled, 255 cases were extracted by diagnosis code alone, 197 by the combination of diagnosis and prescription codes, and 197 by the combination of diagnosis codes and prescription or surgical codes. The PPV for confirmed CD cases was 83% by diagnosis codes alone, but improved to 97% by combining with prescription codes. The inter-observer agreement was 0.9903.

Conclusions

Single ICD-code alone was insufficient to define CD; however, the algorithm that combined diagnosis codes with prescription codes indicated a sufficiently high PPV and will enable outcome-based research on CD using the Japanese claims database.

Replicating prediction algorithms for hospitalization and corticosteroid use in patients with inflammatory bowel disease

Introduction

Previous work had shown that machine learning models can predict inflammatory bowel disease (IBD)-related hospitalizations and outpatient corticosteroid use based on patient demographic and laboratory data in a cohort of United States Veterans. This study aimed to replicate this modeling framework in a nationally representative cohort.

Methods

A retrospective cohort design using Optum Electronic Health Records (EHR) were used to identify IBD patients, with at least 12 months of follow-up between 2007 and 2018. IBD flare was defined as an inpatient/emergency visit with a diagnosis of IBD or an outpatient corticosteroid prescription for IBD. Predictors included demographic and laboratory data. Logistic regression and random forest (RF) models were used to predict IBD flare within 6 months of each visit. A 70% training and 30% validation approach was used.

Results

A total of 95,878 patients across 780,559 visits were identified. Of these, 22,245 (23.2%) patients had at least one IBD flare. Patients were predominantly White (87.7%) and female (57.1%), with a mean age of 48.0 years. The logistic regression model had an area under the receiver operating curve (AuROC) of 0.66 (95% CI: 0.65−0.66), sensitivity of 0.69 (95% CI: 0.68−0.70), and specificity of 0.74 (95% CI: 0.73−0.74) in the validation cohort. The RF model had an AuROC of 0.80 (95% CI: 0.80−0.81), sensitivity of 0.74 (95% CI: 0.73−0.74), and specificity of 0.72 (95% CI: 0.72−0.72) in the validation cohort. Important predictors of IBD flare in the RF model were the number of previous flares, age, potassium, and white blood cell count.

Conclusion

The machine learning modeling framework was replicated and results showed a similar predictive accuracy in a nationally representative cohort of IBD patients. This modeling framework could be embedded in routine practice as a tool to distinguish high-risk patients for disease activity.

Characteristics of Opioid Prescriptions to Veterans With Chronic Gastrointestinal Symptoms and Disorders Dually Enrolled in the Department of Veterans Affairs and Medicare Part D

INTRODUCTION

Gastrointestinal (GI) symptoms and disorders affect an increasingly large group of veterans. Opioid use may be rising in this population, but this is concerning from a patient safety perspective, given the risk of dependence and lack of evidence supporting opioid use to manage chronic pain. We examined the characteristics of opioid prescriptions and factors associated with chronic opioid use among chronic GI patients dually enrolled in the DVA and Medicare Part D.

MATERIALS AND METHODS

In this retrospective cohort study, we used linked, national patient-level data (from April 1, 2011, to December 31, 2014) from the VA and Centers for Medicare & Medicaid Services to identify chronic GI patients and observe opioid use. Veterans who had a chronic GI symptom or disorder were dually enrolled in VA and Part D and received ≥1 opioid prescription dispensed through the VA, Part D, or both. Chronic GI symptoms and disorders included chronic abdominal pain, chronic pancreatitis, inflammatory bowel diseases, and functional GI disorders. Key outcome measures were outpatient opioid prescription dispensing overall and chronic opioid use, defined as ≥90 consecutive days of opioid receipt over 12 months. We described patient characteristics and opioid use measures using descriptive statistics. Using multiple logistic regression modeling, we generated adjusted odds ratios and 95% CIs to determine variables independently associated with chronic opioid use. The final model included variables outlined in the literature and our conceptual framework.

RESULTS

We identified 141,805 veterans who had a chronic GI symptom or disorder, were dually enrolled in VA and Part D, and received ≥1 opioid prescription dispensed from the VA, Part D, or both. Twenty-six percent received opioids from the VA only, 69% received opioids from Medicare Part D only, and 5% were "dual users," receiving opioids through both VA and Part D. Compared to veterans who received opioids from the VA or Part D only, dual users had a greater likelihood of potentially unsafe opioid use outcomes, including greater number of days on opioids, higher daily doses, and higher odds of chronic use.

CONCLUSIONS

Chronic GI patients in the VA may be frequent users of opioids and may have a unique set of risk factors for unsafe opioid use. Careful monitoring of opioid use among chronic GI patients may help to begin risk stratifying this group. and develop tailored approaches to minimize chronic use. The findings underscore potential nuances within the opioid epidemic and suggest that components of the VA's Opioid Safety Initiative may need to be adapted around veterans at a higher risk of opioid-related adverse events.

Impact of inflammatory bowel disease on hospital outcomes in acute ischemic stroke: a nationwide cohort study

PURPOSE

Patients with inflammatory bowel disease (IBD) have an increased risk of venous thrombotic events. The impact IBD has on arterial thrombosis is not well characterized. We aimed to identify the impact of IBD on hospital outcomes in patients admitted for acute ischemic stroke (AIS).

METHODS

This is a retrospective cohort study utilizing the 2017 National Inpatient Sample. We identified all adult patients with a principal diagnosis of AIS and compared those with a concurrent diagnosis of IBD to those without-subgrouped by ulcerative colitis (UC) and Crohn's disease (CD). Outcomes were mortality and healthcare usage among IBD patients with AIS. Multivariate analysis was used to control for confounders. Analyses were performed using STATA.

RESULTS

Five hundred twenty-four thousand and forty-five patients were admitted for AIS in 2017; of them 2200 (0.41%) had a concurrent diagnosis of IBD. The presence of IBD did not significantly affect in-hospital mortality (4.09% vs. 4.01%) among patients admitted for AIS [OR 1.07 95% CI: 0.65-1.76], with similar findings upon subgroup analysis of UC [OR 0.91, 95% CI: 0.39-2.09] and CD [OR 1.17, 95% CI: 0.62-2.19]. Mean hospital length of stay and charges/costs in AIS were similar irrespective of IBD.

CONCLUSIONS

UC and CD do not appear to be associated with a higher risk of mortality or increased healthcare usage in AIS. AIS risk assessment in patients with IBD is important but should be done in a similar fashion to the general population.

Premature Atherosclerotic Cardiovascular Disease Risk Among Patients with Inflammatory Bowel Disease

BACKGROUND

Recent literature has shown an association between atherosclerotic cardiovascular disease and inflammatory bowel disease, potentially mediated through chronic inflammatory pathways. However, there is a paucity of data demonstrating this relationship among young patients with premature atherosclerotic cardiovascular disease.

METHODS

Using data from the nationwide Veterans wIth premaTure AtheroscLerosis (VITAL) registry, we assessed the association between extremely premature and premature atherosclerotic cardiovascular disease (age at diagnosis: ≤40 years and ≤55 years, respectively) and inflammatory bowel disease. Patients were compared with age-matched controls without atherosclerotic cardiovascular disease. Multivariable regression models adjusted for traditional risk factors.

RESULTS

We identified 147,600 patients and 9485 patients with premature and extremely premature atherosclerotic cardiovascular disease, respectively. Compared with controls, there was a higher prevalence of overall inflammatory bowel disease among premature (0.96% vs 0.84%; odds ratio [OR] 1.14; 95% confidence interval [CI], 1.08-1.21) and extremely premature (1.36% vs 0.75%; OR 1.82; 95% CI, 1.52-2.17) patients. After adjustment, these associations attenuated in both premature and extremely premature groups (OR 1.07; 95% CI, 1.00-1.14 and OR 1.61; 95% CI, 1.34-1.94, respectively).

CONCLUSION

Inflammatory bowel disease is associated with higher odds of extremely premature atherosclerotic cardiovascular disease, especially for those age ≤40 years. With increasing age, this risk is attenuated by traditional cardiometabolic factors such as obesity, hypertension, diabetes, smoking, and dyslipidemia. Prospective studies are needed to assess the role of early intervention to decrease cardiovascular risk among young patients with inflammatory bowel disease.

The Use of Readily Available Longitudinal Data to Predict the Likelihood of Surgery in Crohn Disease

BACKGROUND

Although imaging, endoscopy, and inflammatory biomarkers are associated with future Crohn disease (CD) outcomes, common laboratory studies may also provide prognostic opportunities. We evaluated machine learning models incorporating routinely collected laboratory studies to predict surgical outcomes in U.S. Veterans with CD.

METHODS

Adults with CD from a Veterans Health Administration, Veterans Integrated Service Networks (VISN) 10 cohort examined between 2001 and 2015 were used for analysis. Patient demographics, medication use, and longitudinal laboratory values were used to model future surgical outcomes within 1 year. Specifically, data at the time of prediction combined with historical laboratory data characteristics, described as slope, distribution statistics, fluctuation, and linear trend of laboratory values, were considered and principal component analysis transformations were performed to reduce the dimensionality. Lasso regularized logistic regression was used to select features and construct prediction models, with performance assessed by area under the receiver operating characteristic using 10-fold cross-validation.

RESULTS

We included 4950 observations from 2809 unique patients, among whom 256 had surgery, for modeling. Our optimized model achieved a mean area under the receiver operating characteristic of 0.78 (SD, 0.002). Anti-tumor necrosis factor use was associated with a lower probability of surgery within 1 year and was the most influential predictor in the model, and corticosteroid use was associated with a higher probability of surgery. Among the laboratory variables, high platelet counts, high mean cell hemoglobin concentrations, low albumin levels, and low blood urea nitrogen values were identified as having an elevated influence and association with future surgery.

CONCLUSIONS

Using machine learning methods that incorporate current and historical data can predict the future risk of CD surgery.

Increased Mortality and Healthcare Costs Upon Hospital Readmissions of Ulcerative Colitis Flares: A Large Population-Based Cohort Study

BACKGROUND

Ulcerative colitis (UC) flares often result in prolonged hospitalization and considerable mortality. Nevertheless, large-scale analyses evaluating the frequency and characteristics of hospital readmissions for UC remain limited. We aimed to examine these clinical outcomes in a nationwide cohort of patients hospitalized with UC.

METHODS

We queried the 2017 Nationwide Readmission Database using ICD-10-CM codes to identify all adult patients admitted for UC. Outcomes including mortality, readmission rates, predictors of readmission and mortality, and healthcare usage were assessed. Multivariate analysis was used to adjust for potential confounders.

RESULTS

From the 31,063 patients hospitalized for UC, 17.38% were readmitted within 30 days and 28.51% in 90 days. UC accounted for 28.17% and 29.82% of readmissions at 30 and 90 days, respectively. Compared to index admission, 30- and 90-day readmissions were characterized by significantly higher mortality (0.42% vs 1.99% and 1.65%, respectively), longer hospital stays (5.05 vs 6.62 and 6.04 days, respectively), and increased hospital cost ($49,999 vs $62,288 and $59,698, respectively) (all P < 0.01). Numerous factors, including chronic steroid use [hazard ratio (HR) 1.35] and opioid use (HR 1.6, were independently associated with increased 30-day readmission (P < 0.01). Numerous factors, including anxiety (HR 1.21) and venous thromboembolism (HR 5.39), were independently associated with increased 30-day mortality (P < 0.01).

CONCLUSIONS

In a large cohort of patients hospitalized for UC, we found that readmission is associated with higher mortality and more lengthy/costly admissions. Additionally, we found independent associations for readmission and mortality that may help identify patients who can benefit from close postdischarge follow-up.

Fully automated endoscopic disease activity assessment in ulcerative colitis

BACKGROUND AND AIMS

Endoscopy is essential for disease assessment in ulcerative colitis (UC), but subjectivity threatens accuracy and precision. We aimed to pilot a fully automated video analysis system for grading endoscopic disease in UC.

METHODS

A developmental set of high-resolution UC endoscopic videos were assigned Mayo endoscopic scores (MESs) provided by 2 experienced reviewers. Video still-image stacks were annotated for image quality (informativeness) and MES. Models to predict still-image informativeness and disease severity were trained using convolutional neural networks. A template-matching grid search was used to estimate whole-video MESs provided by human reviewers using predicted still-image MES proportions. The automated whole-video MES workflow was tested using unaltered endoscopic videos from a multicenter UC clinical trial.

RESULTS

The developmental high-resolution and testing multicenter clinical trial sets contained 51 and 264 videos, respectively. The still-image informative classifier had excellent performance with a sensitivity of 0.902 and specificity of 0.870. In high-resolution videos, fully automated methods correctly predicted MESs in 78% (41 of 50, κ = 0.84) of videos. In external clinical trial videos, reviewers agreed on MESs in 82.8% (140 of 169) of videos (κ = 0.78). Automated and central reviewer scoring agreement occurred in 57.1% of videos (κ = 0.59), but improved to 69.5% (107 of 169) when accounting for reviewer disagreement. Automated MES grading of clinical trial videos (often low resolution) correctly distinguished remission (MES 0,1) versus active disease (MES 2,3) in 83.7% (221 of 264) of videos.

CONCLUSIONS

These early results support the potential for artificial intelligence to provide endoscopic disease grading in UC that approximates the scoring of experienced reviewers.

Development and Validation of an Administrative Codes Algorithm to Identify Abdominal Surgery and Bowel Obstruction in Patients With Inflammatory Bowel Disease

Background

Validated administrative codes (CPT and ICD) can permit the use of large databases to study diseases and outcomes. The aim of this study was to validate administrative codes for surgery and obstructive complications in patients with inflammatory bowel disease (IBD).

Methods

We performed a retrospective study of IBD patients within the Veterans Affairs Health Administration (VA) from 2000 to 2015 with administrative codes for bowel surgery and complications validated by chart review. Positive predictive values (PPVs) and negative predictive value (NPV) were calculated.

Results

The PPV for bowel surgery was 96.4%; PPV of obstruction codes for bowel obstruction was 80.5% (95% confidence interval: 69.1%, 89.2%).

Conclusions

CPT and ICD codes for abdominal surgery and obstructive complications can be accurately utilized in IBD patients in VA.

Health after Legionnaires' disease: A description of hospitalizations up to 5 years after Legionella pneumonia

BACKGROUND AND OBJECTIVES

Research on Legionnaires' Disease (LD) suggests there may be long-term health complications, but data are limited. This study investigated whether Intensive Care Unit (ICU) admission during LD hospitalization may be associated with adverse health outcomes and characterized subsequent discharge diagnoses in patients with LD up to 5 years post-LD.

METHODS

We conducted a retrospective case series study with follow up for 5 years among patients hospitalized at a Department of Veterans Affairs (VA) Medical Center between 2005 and 2010 with LD. Data were collected from medical records on health history, LD severity (including ICU admission), and discharge diagnoses for 5 years post-LD or until death. We used ordinal logistic regression to explore associations between ICU admission and hospitalizations post-LD. Frequency counts were used to determine the most prevalent discharge diagnoses in the 5 years post-LD.

RESULTS

For the 292 patients with laboratory-confirmed LD, those admitted to the ICU during LD hospitalization were more likely to have a greater number of hospitalizations within 5 years compared to non-ICU patients (ORHosp 1.92 CI95% 1.25, 2.95). Fifty-five percent (161/292) had ≥ 1 hospitalization within 5 years post-LD. After accounting for pre-existing diagnosis codes in patients with at least one hospitalization in the 2 years prior to LD (n = 77/161 patients, 47.8%), three of the four most frequent new diagnoses in the 5 years post-LD were non-chronic conditions: acute renal failure (n = 22, 28.6%), acute respiratory failure (n = 17, 22.1%) and unspecified pneumonia (n = 15, 19.5%).

CONCLUSIONS

Our findings indicate that LD requiring ICU admission is associated with more subsequent hospitalizations, a factor that could contribute to poorer future health for people with severe LD. In addition to chronic conditions prevalent in this study population, we found new diagnoses in the 5-year post-LD period including acute renal failure. With LD incidence increasing, more research is needed to understand conditions and factors that influence long term health after LD.

Development and evaluation of an EHR-based computable phenotype for identification of pediatric Crohn's disease patients in a National Pediatric Learning Health System

Objectives

To develop and evaluate the classification accuracy of a computable phenotype for pediatric Crohn's disease using electronic health record data from PEDSnet, a large, multi‐institutional research network and Learning Health System.

Study Design

Using clinician and informatician input, algorithms were developed using combinations of diagnostic and medication data drawn from the PEDSnet clinical dataset which is comprised of 5.6 million children from eight U.S. academic children's health systems. Six test algorithms (four cases, two non‐cases) that combined use of specific medications for Crohn's disease plus the presence of Crohn's diagnosis were initially tested against the entire PEDSnet dataset. From these, three were selected for performance assessment using manual chart review (primary case algorithm, n = 360, primary non‐case algorithm, n = 360, and alternative case algorithm, n = 80). Non‐cases were patients having gastrointestinal diagnoses other than inflammatory bowel disease. Sensitivity, specificity, and positive predictive value (PPV) were assessed for the primary case and primary non‐case algorithms.

Results

Of the six algorithms tested, the least restrictive algorithm requiring just ≥1 Crohn's diagnosis code yielded 11 950 cases across PEDSnet (prevalence 21/10 000). The most restrictive algorithm requiring ≥3 Crohn's disease diagnoses plus at least one medication yielded 7868 patients (prevalence 14/10 000). The most restrictive algorithm had the highest PPV (95%) and high sensitivity (91%) and specificity (94%). False positives were due primarily to a diagnosis reversal (from Crohn's disease to ulcerative colitis) or having a diagnosis of “indeterminate colitis.” False negatives were rare.

Conclusions

Using diagnosis codes and medications available from PEDSnet, we developed a computable phenotype for pediatric Crohn's disease that had high specificity, sensitivity and predictive value. This process will be of use for developing computable phenotypes for other pediatric diseases, to facilitate cohort identification for retrospective and prospective studies, and to optimize clinical care through the PEDSnet Learning Health System.

The Incidence and Prevalence of Anxiety, Depression, and Post-traumatic Stress Disorder in a National Cohort of US Veterans With Inflammatory Bowel Disease

BACKGROUND

Patients with inflammatory bowel disease (IBD) are more susceptible to mental health problems than the general population; however, temporal trends in psychiatric diagnoses' incidence or prevalence in the United States are lacking. We sought to identify these trends among patients with IBD using national Veterans Heath Administration data.

METHODS

We ascertained the presence of anxiety, depression, or posttraumatic stress disorder among veterans with IBD (ulcerative colitis or Crohn's disease) during fiscal years 2000-2015. Patients with prior anxiety, depression, or posttraumatic stress disorder before their first Veterans Health Administration IBD encounter were excluded to form the study cohort. We calculated annual prevalence, incidence rates, and age standardized and stratified by gender using a direct standardization method.

RESULTS

We identified 60,086 IBD patients (93.9% male). The prevalence of anxiety, depression, and/or posttraumatic stress disorder increased from 10.8 per 100 with IBD in 2001 to 38 per 100 with IBD in 2015; 19,595 (32.6%) patients had a new anxiety, depression, and/or posttraumatic stress disorder diagnosis during the study period. The annual incidence rates of these mental health problems went from 6.1 per 100 with IBD in 2001 to 3.6 per 100 in 2015. This trend was largely driven by decline in depression.

CONCLUSIONS

The prevalence of anxiety, depression, and posttraumatic stress disorder is high among US veterans with IBD and increasing, given the chronicity of IBD and psychological diagnoses. Incidence, particularly depression, appears to be declining. Confirmation and reasons for this encouraging trend are needed.

Association of Continuity of Care With Outcomes in US Veterans With Inflammatory Bowel Disease

IMPORTANCE

Health care fragmentation is associated with inefficiency and worse outcomes. Continuity of care (COC) models were developed to address fragmentation.

OBJECTIVE

To examine COC and selected outcomes in US veterans with inflammatory bowel disease (IBD).

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study used the Veterans Health Administration (VHA) Corporate Data Warehouse to identify veterans with IBD who received care in the VHA health care system between January 1, 2002, and December 31, 2014. Included patients were veterans with IBD who had a primary care physician and at least 4 outpatient visits with key physicians (gastroenterologist, primary care physician, and surgeon) within the first year after an index IBD encounter. Data were analyzed from November 2018 to May 2020.

EXPOSURES

Care continuity was measured with the Bice-Boxerman COC index to define care density and dispersion within year 1 after the initial presentation.

MAIN OUTCOMES AND MEASURES

A Cox proportional hazards regression model was used to quantify the association between a low level of COC in year 1 (defined as ≤0.25 on a 0 to 1 scale) and subsequent IBD-related outcomes in years 2 and 3 (outpatient flare, hospitalization, and surgical intervention).

RESULTS

Among the 20 079 veterans with IBD who met the inclusion criteria, 18 632 were men (92.8%) and the median (interquartile range [IQR]) age was 59 (48-66) years. In the first year of follow-up, substantial variation in the dispersion of care was observed (median [IQR] COC, 0.24 [0.13-0.46]). In a Cox proportional hazards regression model, a low level of COC was associated with a higher likelihood of outpatient flares that required corticosteroids (adjusted hazard ratio [aHR], 1.11; 95% CI, 1.01-1.22), hospitalizations (aHR, 1.25; 95% CI, 1.06-1.47), and surgical interventions (aHR, 1.72; 95% CI, 1.43-2.07).

CONCLUSIONS AND RELEVANCE

Results of this cohort study showed a wide variation in dispersion of IBD care and an association between a lower level of COC and active IBD and worse outcomes. The findings suggest that investigating the barriers to COC in integrated systems that have invested in care coordination is key to not only better understanding COC but also identifying opportunities to improve care fragmentation.

Risk of new-onset inflammatory bowel disease among patients with acne vulgaris exposed to isotretinoin

BACKGROUND

Data on the risk of inflammatory bowel disease (IBD) among isotretinoin-exposed patients with acne vulgaris (AV) is controversial.

OBJECTIVE

To compare IBD risk in isotretinoin-exposed and unexposed patients with AV.

METHODS

Retrospective cohort analysis of patients with AV with and without isotretinoin exposure identified using electronic health records. Primary outcomes were 6-month and 1-year IBD incidence.

RESULTS

The crude 6-month IBD incidence was 0.08% (21/27,230) among isotretinoin-exposed patients with AV compared to 0.04% (254/631,089) among those unexposed. The crude 1-year IBD incidence was 0.10% (28/27,230) among isotretinoin exposed patients with AV and 0.08% (477/631,089) among those unexposed. The odds of developing IBD within 6 months were 87% higher among isotretinoin-exposed patients with AV compared to those unexposed (adjusted odds ratio, 1.87; 95% confidence interval [CI], 1.20-2.93), although the absolute difference was small (risk difference, 2.6 more cases per 10,000 patients; 95% CI, 0.7-4.5). There was no significant difference in the odds of developing IBD at 1 year between isotretinoin-exposed and unexposed patients with AV (adjusted odds ratio, 1.40; 95% CI, 0.95-2.05).

LIMITATIONS

Isotretinoin-exposed patients may be more likely to have IBD detected by a health care provider.

CONCLUSIONS

IBD incidence among isotretinoin-exposed patients with AV is very low, and the risk appears similar to that for unexposed patients with AV.

Increased Vascular Pathology in Older Veterans With a Purple Heart Commendation or Chronic Post-Traumatic Stress Disorder

The goal of this retrospective cohort study was to determine whether stressors related to military service, determined by a diagnosis of chronic post-traumatic stress disorder (cPTSD) or receiving a Purple Heart (PH), are associated with an increased risk of vascular risk factors and disease, which are of great concern for veterans, who constitute a significant portion of the aging US population. The Veterans Integrated Service Network (VISN) 16 administrative database was searched for individuals 65 years or older between October 1, 1997 to September 30, 1999 who either received a PH but did not have cPTSD (PH+/cPTSD-; n = 1499), had cPTSD without a PH (PH-/cPTSD+; n = 3593), had neither (PH-/cPTSD-; n = 5010), or had both (PH+/cPTSD+; n = 153). In comparison to the control group (PH-/cPTSD-), the PH+/cPTSD- group had increased odds ratios for incidence and prevalence of diabetes mellitus, hypertension, and hyperlipidemia. The PH-/cPTSD+ group had increased odds ratios for prevalence of diabetes mellitus and for the incidence and prevalence of hyperlipidemia. The PH-/cPTSD+ and PH+/cPTSD- groups were associated with ischemic heart disease and cerebrovascular disease, but not independently of the other risk factors. The PH+/cPTSD+ group was associated only with an increase in the incidence and prevalence of hyperlipidemia, though this group's much smaller sample size may limit the reliability of this finding. We conclude that certain physical and psychological stressors related to military service are associated with a greater incidence of several vascular risk factors in veterans aged 65 years or older, which in turn are associated with greater rates of ischemic heart disease and cerebrovascular disease.

Artificial Intelligence for Understanding Imaging, Text, and Data in Gastroenterology

Artificial intelligence (AI) could change the practice of gastroenterology through its ability to both acquire and analyze information with speed, reproducibility, and, potentially, insight that may exceed that of human medical specialists. AI is powered by computational methods that allow machines to replicate clinical pattern recognition used by gastroenterology specialists to interpret endoscopic or cross-sectional images; understand the meaning and intent of medical documents; and merge different types of data to infer a diagnosis, prognosis, or expected outcome. Ongoing research is studying the use of AI for automated interpretation of text from colonoscopy and clinical documents for improved quality and patient phenotyping as well as enhanced detection and descriptions of polyps and other endoscopic lesions, and for predicting the probability of future therapeutic response early in a treatment course. This article introduces emerging technologies of natural language processing, machine vision, and machine learning for data analytics, and describes current and future applications in gastroenterology.

Clinical codes combined with procedure codes increase diagnostic accuracy of Crohn's disease in a US Military health record

Background and aims

Previous examinations of International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) codes to predict accuracy of diagnosis in inflammatory bowel disease have had limited chart review to confirm diagnosis. We aimed to evaluate using the ICD-9-CM for identifying Crohn’s disease (CD) in a large electronic health record (EHR) database.

Methods

This is a retrospective case-control study with a 3:1 allocation of EHRs of active duty service members diagnosed with CD from 1996 to 2012. Subjects were selected by having two ICD-9-CM codes for CD and none for ulcerative colitis during the study period. Gastroenterologists reviewed each chart and confirmed the diagnosis of CD by analysing medication history and clinical, endoscopic, histological, and radiographic exams.

Results

300 cases of CD were selected; 14 cases were discarded due to lack of data, limiting analysis to 284 subjects. Two diagnostic codes for CD had sensitivity and specificity of 1.0 and 0.53 respectively, for confirmed CD. If two or more encounters listing CD were with a gastroenterologist, the sensitivity and specificity was 0.71 and 0.87 respectively. If two encounters included a colonoscopy was performed at the same time as a CD code, sensitivity and specificity was 0.49 and 0.88 respectively.

Conclusions

The relatively poor specificity of ICD-9-CM codes in making the diagnosis of CD should be taken into consideration when interpreting results and when conducting research using such codes. Limiting these codes to patients given this diagnosis by a gastroenterologist, or to those who had a colonoscopy at the time of a diagnosis, increases the specificity, although at cost of sensitivity, especially for colonoscopy.

Differential Associations of Chronic Inflammatory Diseases With Incident Heart Failure

OBJECTIVES

The purpose of this study was to compare the risks of incident heart failure (HF) among a variety of chronic inflammatory diseases (CIDs) and to determine whether risks varied by severity of inflammation within each CID.

BACKGROUND

Individuals with CIDs are at elevated risk for cardiovascular diseases, but data are limited regarding risk for HF.

METHODS

An electronic health records database from a large urban medical system was examined, comparing individuals with CIDs with frequency-matched controls without CIDs, all of whom were receiving regular outpatient care. Rates of incident HF were determined by using the Kaplan-Meier method and subsequently used multivariate-adjusted proportional hazards models to compare HF risks for each CID. Exploratory analyses determined HF risks by proxy measurement of CID severity.

RESULTS

Of 37,636 patients (n = 18,278 patients with CIDs; and n = 19,358 controls without CIDs) there were 960 incident HF cases over a median of 3.6 years. Risks for incident HF were significantly or borderline significantly elevated for patients with systemic sclerosis (hazard ratio [HR]: 7.26; 95% confidence interval [CI]: 5.72 to 9.21; p < 0.01), systemic lupus erythematosus (HR: 3.15; 95% CI: 2.41 to 4.11; p < 0.01), rheumatoid arthritis (HR: 1.39; 95% CI: 1.13 to 1.71; p < 0.01), and human immunodeficiency virus (HR: 1.28; 95% CI: 0.99 to 1.66; p = 0.06). There was no association between psoriasis or inflammatory bowel disease and incident HF, although patients with those CIDs with higher levels of C-reactive protein had higher risks for HF than controls.

CONCLUSIONS

Systemic sclerosis and systemic lupus erythematosus were associated with the highest risks of HF, followed by rheumatoid arthritis and HIV. Measurements of inflammation were associated with HF risk across different CIDs.

The Association of Medications and Vaccination with Risk of Pneumonia in Inflammatory Bowel Disease

BACKGROUND

Patients with inflammatory bowel disease (IBD) are at increased risk for pneumonia, and corticosteroids are reported to amplify this risk. Less is known about the impact of corticosteroid-sparing IBD therapies on pneumonia risk or the efficacy of pneumococcal vaccination in reducing all-cause pneumonia in real-world IBD cohorts.

METHODS

We performed a population-based study using an established Veterans Health Administration cohort of 29,957 IBD patients. We identified all patients who developed bacterial pneumonia. Cox survival analysis was used to determine the association of corticosteroids at study entry and as a time-varying covariate, corticosteroid-sparing agents (immunomodulators and antitumor necrosis-alpha [TNF] inhibitors), and pneumococcal vaccination with the development of all-cause pneumonia.

RESULTS

Patients with IBD who received corticosteroids had a greater risk of pneumonia when controlling for age, gender, and comorbidities (hazard ratio [HR] 2.21; 95% confidence interval [CI], 1.90-2.57 for prior use; HR = 3.42; 95% CI, 2.92-4.01 for use during follow-up). Anti-TNF inhibitors (HR 1.52; 95% CI, 1.02-2.26), but not immunomodulators (HR 0.91; 95% CI, 0.77-1.07), were associated with a small increase in pneumonia. A history of pneumonia was strongly associated with subsequent pneumonia (HR = 4.41; 95% CI, 3.70-5.27). Less than 15% of patients were vaccinated against pneumococcus, and this was not associated with a reduced risk of pneumonia (HR = 1.02; 95% CI, 0.80-1.30) in this cohort.

CONCLUSION

In a large US cohort, corticosteroids were confirmed to increase pneumonia risk. Tumor necrosis-alpha inhibitors were associated with a smaller increase in the risk of pneumonia. Surprisingly, pneumococcal vaccination did not reduce all-cause pneumonia in this population, though few patients were vaccinated.

Nationwide validation study of diagnostic algorithms for inflammatory bowel disease in Korean National Health Insurance Service database

BACKGROUND AND AIM

We conducted a nationwide validation study of diagnostic algorithms to identify cases of inflammatory bowel disease (IBD) within the Korea National Health Insurance System (NHIS) database.

METHOD

Using the NHIS dataset, we developed 44 algorithms combining the International Classification of Diseases (ICD)-10 codes, codes for Rare and Intractable Diseases (RID) registration and claims data for health care encounters, and pharmaceutical prescriptions for IBD-specific drugs. For each algorithm, we compared the case identification results from electronic medical records data with the gold standard (chart-based diagnosis). A multiple sampling test verified the validation results from the entire study population.

RESULTS

A random nationwide sample of 1697 patients (848 potential cases and 849 negative control cases) from 17 hospitals were included for validation. A combination of the ICD-10 code, ≥ 1 claims for health care encounters, and ≥ 1 prescription claims (reference algorithm) achieved excellent performance (sensitivity, 93.1% [95% confidence interval 91-94.7]; specificity, 98.1% [96.9-98.8]; positive predictive value, 97.5% [96.1-98.5]; negative predictive value, 94.5% [92.8-95.8]) with the lowest error rate (4.2% [3.3-5.3]). The multiple sampling test confirmed that the reference algorithm achieves the best performance regarding IBD diagnosis. Algorithms including the RID registration codes exhibited poorer performance compared with that of the reference algorithm, particularly for the diagnosis of patients affiliated with secondary hospitals. The performance of the reference algorithm showed no statistical difference depending on the hospital volume or IBD type, with P-value < 0.05.

CONCLUSIONS

We strongly recommend the reference algorithm as a uniform standard operational definition for future studies using the NHIS database.

Assessing Small Bowel Stricturing and Morphology in Crohn's Disease Using Semi-automated Image Analysis

BACKGROUND

Evaluating structural damage using imaging is essential for the evaluation of small intestinal Crohn's disease (CD), but it is limited by potential interobserver variation. We compared the agreement of enterography-based bowel damage measurements collected by experienced radiologists and a semi-automated image analysis system.

METHODS

Patients with small bowel CD undergoing a CT-enterography (CTE) between 2011 and 2017 in a tertiary care setting were retrospectively reviewed. CT-enterography studies were reviewed by 2 experienced radiologists and separately underwent automated computer image analysis using bowel measurement software. Measurements included maximum bowel wall thickness (BWT-max), maximum bowel dilation (DIL-max), minimum lumen diameter (LUM-min), and the presence of a stricture. Measurement correlation coefficients and paired t tests were used to compare individual operator measurements. Multivariate regression was used to model identification of strictures using semi-automated measures.

RESULTS

In 138 studies, the correlation between radiologists and semi-automated measures were similar for BWT-max (r = 0.724, 0.702), DIL-max (r = 0.812, 0.748), and LUM-min (r = 0.428, 0.381), respectively. Mean absolute measurement difference between semi-automated and radiologist measures were no different from the mean difference between paired radiologists for BWT-max (1.26 mm vs 1.12 mm, P = 0.857), DIL-max (2.78 mm vs 2.67 mm, P = 0.557), and LUM-min (0.54 mm vs 0.41 mm, P = 0.596). Finally, models of radiologist-defined intestinal strictures using automatically acquired measurements had an accuracy of 87.6%.

CONCLUSION

Structural bowel damage measurements collected by semi-automated approaches are comparable to those of experienced radiologists. Radiomic measures of CD will become an important new data source powering clinical decision-making, patient-phenotyping, and assisting radiologists in reporting objective measures of disease status.

Construction of a semi-automatic ICD-10 coding system

Background

The International Classification of Diseases, 10th Revision (ICD-10) has been widely used to describe the diagnosis information of patients. Automatic ICD-10 coding is important because manually assigning codes is expensive, time consuming and error prone. Although numerous approaches have been developed to explore automatic coding, few of them have been applied in practice. Our aim is to construct a practical, automatic ICD-10 coding machine to improve coding efficiency and quality in daily work.

Methods

In this study, we propose the use of regular expressions (regexps) to establish a correspondence between diagnosis codes and diagnosis descriptions in outpatient settings and at admission and discharge. The description models of the regexps were embedded in our upgraded coding system, which queries a diagnosis description and assigns a unique diagnosis code. Like most studies, the precision (P), recall (R), F-measure (F) and overall accuracy (A) were used to evaluate the system performance. Our study had two stages. The datasets were obtained from the diagnosis information on the homepage of the discharge medical record. The testing sets were from October 1, 2017 to April 30, 2018 and from July 1, 2018 to January 31, 2019.

Results

The values of P were 89.27 and 88.38% in the first testing phase and the second testing phase, respectively, which demonstrate high precision. The automatic ICD-10 coding system completed more than 160,000 codes in 16 months, which reduced the workload of the coders. In addition, a comparison between the amount of time needed for manual coding and automatic coding indicated the effectiveness of the system-the time needed for automatic coding takes nearly 100 times less than manual coding.

Conclusions

Our automatic coding system is well suited for the coding task. Further studies are warranted to perfect the description models of the regexps and to develop synthetic approaches to improve system performance.

The use of ICD codes to identify IBD subtypes and phenotypes of the Montreal classification in the Swedish National Patient Register

Introduction: Whether data on International Classification of Diseases (ICD)-codes from the Swedish National Patient Register (NPR) correctly correspond to subtypes of inflammatory bowel disease (IBD) and phenotypes of the Montreal classification scheme among patients with prevalent disease is unknown.Materials and methods: We obtained information on IBD subtypes and phenotypes from the medical records of 1403 patients with known IBD who underwent biological treatment at ten Swedish hospitals and retrieved information on their IBD-associated diagnostic codes from the NPR. We used previously described algorithms to define IBD subtypes and phenotypes. Finally, we compared these register-generated subtypes and phenotypes with the corresponding information from the medical records and calculated positive predictive values (PPV) with 95% confidence intervals.Results: Among patients with clinically confirmed disease and diagnostic listings of IBD in the NPR (N = 1401), the PPV was 97 (96-99)% for Crohn's disease, 98 (97-100)% for ulcerative colitis, and 8 (4-11)% for IBD-unclassified. The overall accuracy for age at diagnosis was 95% (when defined as A1, A2, or A3). Examining the validity of codes representing disease phenotype, the PPV was 36 (32-40)% for colonic Crohn's disease (L2), 61 (56-65)% for non-stricturing/non-penetrating Crohn's disease behaviour (B1) and 83 (78-87)% for perianal disease. Correspondingly, the PPV was 80 (71-89)% for proctitis (E1)/left-sided colitis (E2) in ulcerative colitis.Conclusions: Among people with known IBD, the NPR is a reliable source of data to classify most subtypes of prevalent IBD, even though misclassification commonly occurred in Crohn's disease location and behaviour and also among IBD-unclassified patients.

Low Incidence of Death and Renal Failure in United States Military Service Members Hospitalized with Exertional Heat Stroke: A Retrospective Cohort Study

INTRODUCTION

The goal of the current study was to characterize the rate and estimate associated mortality and morbidity of exertional heat stroke (EHS) in U.S. military service members.

MATERIALS AND METHODS

The current study was a retrospective cohort medical chart review study of all active-duty U.S. military service members, hospitalized with EHS at any MTF in the world between January1, 2007 and July 1, 2014. Enrolled patients were identified by altered mental status and elevated temperatures associated with physical exercise.

RESULTS

Out of 607 service members with an International Classification of Disease code indicating any type of heat injury, 48 service members met inclusion criteria for EHS. Core temperature was M = 105.8°F (41°C), standard deviation = 1.43, 90% were diagnosed with EHS prior to hospitalization, and 71% received prehospital cooling. Meantime to normothermia post-hospitalization was 56 minutes (standard deviation = 79.28). Acute kidney injury was diagnosed in 40% of patients although none developed hyperkalemia or required dialysis. Disseminated intravascular coagulation was rare (4%, n = 2) and overall observed mortality was very low (2%, n = 1).

CONCLUSION

EHS is aggressively identified and treated in U.S. Military Treatment Facilities. Mortality and morbidity were strikingly low.

Epidemiology and implications of concurrent diagnosis of eosinophilic oesophagitis and IBD based on a prospective population-based analysis

OBJECTIVE

Eosinophilic oesophagitis (EoO) and IBD are immune-mediated diseases of the gastrointestinal tract with possible overlapping pathogenic mechanisms. Our aim was to define the epidemiology and clinical implications of concurrent EoO and IBD diagnoses.

DESIGN

We conducted a prospective cohort analysis using the Truven MarketScan database (2009-2016) to estimate the incidence and prevalence of EoO in patients with Crohn's disease (CD) or UC and vice versa. Cox proportional hazards and Kaplan-Meier methods were used to estimate the risk of EoO-related or IBD-related complications among patients with concurrent diagnoses.

RESULTS

Among 134 013 536 individuals, the incidence of EoO, CD and UC were 23.1, 51.2 and 55.2 per 100 000 person-years, respectively. The risk of EoO was higher among patients with CD (incidence rate ratio [IRR] 5.4, p<0.01; prevalence ratio (PR) 7.8, p<0.01) or UC (IRR 3.5, p<0.01; PR 5.0, p<0.01), while the risk of IBD was higher among patients with EoO (CD: IRR 5.7, p<0.01; PR 7.6, p<0.01; UC: IRR 3.4, p<0.01; PR 4.9, p<0.01) versus individuals without either diagnosis. Concurrent diagnosis of EoO and IBD was associated with greater composite risk of IBD-related complications (CD: adjusted HR (aHR) 1.09, p=0.01; UC: aHR 1.10, p=0.04) but lower composite risk of EoO-related complications (aHR 0.59; p<0.01).

CONCLUSION

Based on a population-based prospective cohort analysis, the risk of EoO is significantly higher among patients with IBD and vice versa. Concurrent diagnoses might modify the risk of IBD-related and EoO-related complications. Studies defining the mechanisms underlying these observations are needed.