Prevalence of Non-Alcoholic Steatohepatitis (NASH) in Individuals With Ulcerative Colitis: A Population-Based National Study

2018 ◽  
Vol 113 (Supplement) ◽  
pp. S477
Author(s):  
Jamie A. Elchert ◽  
Emad Mansoor ◽  
Preetika Sinh ◽  
Seth Sclair ◽  
Stanley Cohen ◽  
...  
2020 ◽  
Vol 12 (7) ◽  
pp. 379-389
Author(s):  
Sara Ghoneim ◽  
Aneesh Dhorepatil ◽  
Aun Raza Shah ◽  
Ganesh Ram ◽  
Subhan Ahmad ◽  
...  

2020 ◽  
Vol 12 (7) ◽  
pp. 378-388
Author(s):  
Sara Ghoneim ◽  
Aneesh Dhorepatil ◽  
Aun Raza Shah ◽  
Ganesh Ram ◽  
Subhan Ahmad ◽  
...  

2018 ◽  
Vol 113 (Supplement) ◽  
pp. S476-S477
Author(s):  
Jamie A. Elchert ◽  
Emad Mansoor ◽  
Preetika Sinh ◽  
Seth Sclair ◽  
Stanley Cohen ◽  
...  

2015 ◽  
Vol 24 (3) ◽  
pp. 287-292 ◽  
Author(s):  
Petra A. Golovics ◽  
Laszlo Lakatos ◽  
Michael D. Mandel ◽  
Barbara D. Lovasz ◽  
Zsuzsanna Vegh ◽  
...  

Background & Aims: Limited data are available on the hospitalization rates in population-based studies. Since this is a very important outcome measure, the aim of this study was to analyze prospectively if early hospitalization is associated with the later disease course as well as to determine the prevalence and predictors of hospitalization and re-hospitalization in the population-based ulcerative colitis (UC) inception cohort in the Veszprem province database between 2000 and 2012. Methods: Data of 347 incident UC patients diagnosed between January 1, 2000 and December 31, 2010 were analyzed (M/F: 200/147, median age at diagnosis: 36, IQR: 26-50 years, follow-up duration: 7, IQR 4-10 years). Both in- and outpatient records were collected and comprehensively reviewed. Results: Probabilities of first UC-related hospitalization were 28.6%, 53.7% and 66.2% and of first re-hospitalization were 23.7%, 55.8% and 74.6% after 1-, 5- and 10- years of follow-up, respectively. Main UC-related causes for first hospitalization were diagnostic procedures (26.7%), disease activity (22.4%) or UC-related surgery (4.8%), but a significant percentage was unrelated to IBD (44.8%). In Kaplan-Meier and Cox-regression analysis disease extent at diagnosis (HR extensive: 1.79, p=0.02) or at last follow-up (HR: 1.56, p=0.001), need for steroids (HR: 1.98, p<0.001), azathioprine (HR: 1.55, p=0.038) and anti-TNF (HR: 2.28, p<0.001) were associated with the risk of UC-related hospitalization. Early hospitalization was not associated with a specific disease phenotype or outcome; however, 46.2% of all colectomies were performed in the year of diagnosis. Conclusion: Hospitalization and re-hospitalization rates were relatively high in this population-based UC cohort. Early hospitalization was not predictive for the later disease course.


This handbook signals a paradigm shift in health research. Population-based disciplines have employed large national samples to examine how sociodemographic factors contour rates of morbidity and mortality. Behavioral and psychosocial disciplines have studied the factors that influence these domains using small, nonrepresentative samples in experimental or longitudinal contexts. Biomedical disciplines, drawing on diverse fields, have examined mechanistic processes implicated in disease outcomes. The collection of chapters in this handbook embraces all such prior approaches and, via targeted questions, illustrates how they can be woven together. Diverse contributions showcase how social structural influences work together with psychosocial influences or experiential factors to impact differing health outcomes, including profiles of biological risk across distinct physiological systems. These varied biopsychosocial advances have grown up around the Midlife in the United States (MIDUS) national study of health, begun over 20 years ago and now encompassing over 12,000 Americans followed through time. The overarching principle behind the MIDUS enterprise is that deeper understanding of why some individuals remain healthy and well as they move across the decades of adult life, while others succumb to differing varieties of disease, dysfunction, or disability, requires a commitment to comprehensiveness that attends to the interplay of multiple interacting influences. Put another way, all of the disciplines mentioned have reliably documented influences on health, but in and of themselves, each is inherently limited because it neglects factors known to matter for health outside the discipline’s purview. Integrative health science is the alternative seeking to overcome these limitations.


2021 ◽  
pp. 1-9
Author(s):  
Giulia Grande ◽  
Jing Wu ◽  
Petter L.S. Ljungman ◽  
Massimo Stafoggia ◽  
Tom Bellander ◽  
...  

Background: A growing but contrasting evidence relates air pollution to cognitive decline. The role of cerebrovascular diseases in amplifying this risk is unclear. Objectives: 1) Investigate the association between long-term exposure to air pollution and cognitive decline; 2) Test whether cerebrovascular diseases amplify this association. Methods: We examined 2,253 participants of the Swedish National study on Aging and Care in Kungsholmen (SNAC-K). One major air pollutant (particulate matter ≤2.5μm, PM2.5) was assessed yearly from 1990, using dispersion models for outdoor levels at residential addresses. The speed of cognitive decline (Mini-Mental State Examination, MMSE) was estimated as the rate of MMSE decline (linear mixed models) and further dichotomized into the upper (25%fastest cognitive decline), versus the three lower quartiles. The cognitive scores were used to calculate the odds of fast cognitive decline per levels of PM2.5 using regression models and considering linear and restricted cubic splines of 10 years exposure before the baseline. The potential modifier effect of cerebrovascular diseases was tested by adding an interaction term in the model. Results: We observed an inverted U-shape relationship between PM2.5 and cognitive decline. The multi-adjusted piecewise regression model showed an increased OR of fast cognitive decline of 81%(95%CI = 1.2–3.2) per interquartile range difference up to mean PM2.5 level (8.6μg/m3) for individuals older than 80. Above such level we observed no further risk increase (OR = 0.89;95%CI = 0.74–1.06). The presence of cerebrovascular diseases further increased such risk by 6%. Conclusion: Low to mean PM2.5 levels were associated with higher risk of accelerated cognitive decline. Cerebrovascular diseases further amplified such risk.


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