scholarly journals Opportunistic Infections Are More Prevalent in Crohn’s Disease and Ulcerative Colitis: A Large Population-Based Study

2019 ◽  
Vol 26 (2) ◽  
pp. 291-300 ◽  
Author(s):  
Mohammed Zaahid Sheriff ◽  
Emad Mansoor ◽  
Jay Luther ◽  
Ashwin N Ananthakrishnan ◽  
Mohannad Abou Saleh ◽  
...  
Keyword(s):  
Ulcerative Colitis ◽  
Crohn’S Disease ◽  
Crohn's Disease ◽  
Bacterial Infections ◽  
Large Scale ◽  
Opportunistic Infections ◽  
Large Population ◽  
Population Based ◽  
Data Set ◽  
Epidemiological Characteristics

Abstract Background Opportunistic infections (OIs) are more common in patients with inflammatory bowel disease (IBD); however, there have been limited large-scale studies of OIs in IBD. We investigated the epidemiological characteristics of OI in Crohn’s disease (CD) and ulcerative colitis (UC) using a large population-based database. Methods Data were collected from a commercial database (Explorys Inc., Cleveland, OH, USA) that provided electronic health records from 26 major integrated US health care systems from 1999 to March 2018. In this data set, we identified all CD and UC patients, based on Systemized Nomenclature of Medicine–Clinical Terms. Within these cohorts, we identified a variety of OIs and compared the prevalence rate of OI in individuals with IBD with that of controls (patients in the database between March 2013 and March 2018 without the diagnosis of IBD). Results Explorys included 153,290 patients with CD and 128,540 patients with UC between March 2013 and March 2018. The prevalence of OIs was 17.8% in CD, 19.2% in UC, and 7% in non-IBD controls. When compared with non-IBD controls, all OIs were more common in CD (prevalence ratio [PR], 2.54; 95% confidence interval [CI], 2.51–2.57) and UC (PR, 2.74; 95% CI, 2.71–2.77). Overall, viral infections were numerically more common, whereas bacterial infections had the highest PRs in CD and UC when compared with controls without IBD. Conclusions We found significantly higher rates of OI in IBD. Our study suggests the need for close follow-up of IBD patients to diagnose and provide vaccinations where applicable for prevention of infections.

The Incidence of Deep Venous Thrombosis and Pulmonary Embolism among Patients with Inflammatory Bowel Disease: A Population-based Cohort Study

2001 ◽  
Vol 85 (03) ◽  
pp. 430-434 ◽  
Author(s):  
James Blanchard ◽  
Donald Houston ◽  
Andre Wajda ◽  
Charles Bernstein
Keyword(s):  
Ulcerative Colitis ◽  
Inflammatory Bowel Disease ◽  
Pulmonary Embolism ◽  
Crohn’S Disease ◽  
Crohn's Disease ◽  
Population Based ◽  
Incidence Rates ◽  
Increased Risk ◽  
Inflammatory Bowel

Summary Background: There is an impression mostly from specialty clinics that patients with inflammatory bowel disease (IBD) have an increased risk of venous thromboembolic disorders. Our aim was to determine the incidence of deep venous thrombosis (DVT) and pulmonary embolism (PE) from a population-based database of IBD patients and, to compare the incidence rates to that of an age, gender and geographically matched population control group. Methods: IBD patients identified from the administrative claims data of the universal provincial insurance plan of Manitoba were matched 1:10 to randomly selected members of the general population without IBD by year, age, gender, and postal area of residence using Manitoba Health’s population registry. The incidence of hospitalization for DVT and PE was calculated from hospital discharge abstracts using ICD-9-CM codes 451.1, 453.x for DVT and 415.1x for PE. Rates were calculated based on person-years of follow-up for 1984-1997. Comparisons to the population cohort yielded age-adjusted incidence rate ratios (IRR). Rates were calculated based on person-years of follow-up (Crohn’s disease = 21,340, ulcerative colitis = 19,665) for 1984-1997. Results: In Crohn’s disease the incidence rate of DVT was 31.4/10,000 person-years and of PE was 10.3/10,000 person-years. In ulcerative colitis the incidence rates were 30.0/10,000 person-years for DVT and 19.8/10,000 person-years for PE. The IRR was 4.7 (95% CI, 3.5-6.3) for DVT and 2.9 (1.8-4.7) for PE in Crohn’s disease and 2.8 (2.1-3.7) for DVT and 3.6 (2.5-5.2) for PE, in ulcerative colitis. There were no gender differences for IRR. The highest rates of DVT and PE were seen among patients over 60 years old; however the highest IRR for these events were among patients less than 40 years. Conclusion: IBD patients have a threefold increased risk of developing DVT or PE.

scholarly journals Mortality in ulcerative colitis and Crohn's disease. A population-based study in Finland

2012 ◽  
Vol 6 (5) ◽  
pp. 524-528 ◽  
Author(s):  
Pia Manninen ◽  
Anna-Liisa Karvonen ◽  
Heini Huhtala ◽  
Martin Rasmussen ◽  
Maarit Salo ◽  
...  
Keyword(s):  
Ulcerative Colitis ◽  
Crohn’S Disease ◽  
Crohn's Disease ◽  
Population Based ◽  
Population Based Study

scholarly journals Familial aggregation in Crohn's disease and ulcerative colitis in a Norwegian population-based cohort followed for ten years

2009 ◽  
Vol 3 (2) ◽  
pp. 92-99 ◽  
Author(s):  
May-Bente Bengtson ◽  
Camilla Solberg ◽  
Geir Aamodt ◽  
Jostein Sauar ◽  
Jørgen Jahnsen ◽  
...  
Keyword(s):  
Ulcerative Colitis ◽  
Crohn’S Disease ◽  
Crohn's Disease ◽  
Familial Aggregation ◽  
Population Based ◽  
Norwegian Population

Tu1299 Spring Birth Associated With Crohn's Disease, but Not Ulcerative Colitis: A Population-Based Analysis

2012 ◽  
Vol 142 (5) ◽  
pp. S-796
Author(s):  
Zoann Nugent ◽  
Souradet Y. Shaw ◽  
James F. Blanchard ◽  
Laura E. Targownik ◽  
Harminder Singh ◽  
...  
Keyword(s):  
Ulcerative Colitis ◽  
Crohn’S Disease ◽  
Crohn's Disease ◽  
Population Based

scholarly journals Sa1775 – Crohn's Disease and Ulcerative Colitis Was Associated with Different Lipid Profile Disorders: A Nationwide Population-Based Study

2019 ◽  
Vol 156 (6) ◽  
pp. S-397-S-398
Author(s):  
Hosim Soh ◽  
Jaeyoung Chun ◽  
Kyungdo Han ◽  
Seona Park ◽  
Eun Ae Kang ◽  
...  
Keyword(s):  
Ulcerative Colitis ◽  
Crohn’S Disease ◽  
Crohn's Disease ◽  
Lipid Profile ◽  
Population Based ◽  
Population Based Study

scholarly journals Identifying Patients With Inflammatory Bowel Diseases in an Administrative Health Claims Database: Do Algorithms Generate Similar Findings?

2019 ◽  
Vol 56 ◽  
pp. 004695801988781
Author(s):  
Yizhou Ye ◽  
Sudhakar Manne ◽  
Dimitri Bennett
Keyword(s):  
Ulcerative Colitis ◽  
Inflammatory Bowel Disease ◽  
Crohn’S Disease ◽  
Crohn's Disease ◽  
Literature Review ◽  
Bowel Disease ◽  
Health Claims ◽  
Administrative Claims ◽  
Data Set ◽  
Inflammatory Bowel

Application of selective algorithms to administrative health claims databases allows detection of specific patients and disease or treatment outcomes. This study identified and applied different algorithms to a single data set to compare the numbers of patients with different inflammatory bowel disease classifications identified by each algorithm. A literature review was performed to identify algorithms developed to define inflammatory bowel disease patients, including ulcerative colitis, Crohn’s disease, and inflammatory bowel disease unspecified in routinely collected administrative claims databases. Based on the study population, validation methods, and results, selected algorithms were applied to the Optum Clinformatics® Data Mart database from June 2000 to March 2017. The patient cohorts identified by each algorithm were compared. Three different algorithms were identified from literature review and selected for comparison (A, B, and C). Each identified different numbers of patients with any form of inflammatory bowel disease (323 833; 246 953, and 171 537 patients, respectively). The proportions of patients with ulcerative colitis, Crohn’s disease, and inflammatory bowel disease unspecified were 32.0% to 47.5%, 38.6% to 43.8%, and 8.7% to 26.6% of the total population with inflammatory bowel disease, respectively, depending on the algorithm applied. Only 5.1% of patients with inflammatory bowel disease unspecified were identified by all 3 algorithms. Algorithm C identified the smallest cohort for each disease category except inflammatory bowel disease unspecified. This study is the first to compare numbers of inflammatory bowel disease patients identified by different algorithms from a single database. The differences between results highlight the need for validation of algorithms to accurately identify inflammatory bowel disease patients.

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