Obesity, a challenge in the management of inflammatory bowel diseases.

Obesity, a morbid condition snowballing in the world, may cause many health issues in healthy and ill people. Many disorders are known to be influenced by obesity, mainly in a catastrophic way, including inflammatory bowel disease (IBD). Many studies sought to determine the effects that obesity prompts IBD. Some of them indicate that obesity is associated with poor outcomes. There is no consistency regarding the correlation between obesity and IBDs due to the equivocal nature of obesity and the shortage of extensive and reliable investigations. However, to a worldwide consensus, obesity has a unique disease burden and can cause poor prognosis when it accompanies other ailments. Here, we have reviewed some of the alterations and impacts that obesity may impose on the pathogenesis and clinical management of IBD. Conclusively, inflammatory processes of IBD are reinforced by obesity. Furthermore, as a two-way road, obesity can be caused by IBD. However, autoimmunity in IBD is not found to have a consistent relationship with obesity. Although, medical and surgical treatments of IBD are affected by obesity in terms of their efficacy and outcomes. The most important aspect of obesity that can influence the course of disease management is associated with significant disabilities that obesity may cause rather than a metabolic or molecular rationale.

Epidemiology of COVID-19 in Tehran, Iran: A Cohort Study of Clinical Profile, Risk Factors, and Outcomes.

Background: The outbreak of coronavirus disease 2019 (COVID-19) dates back to December 2019 in China. Iran has been among the most prone countries to the virus. The aim of this study was to report demographics, clinical data, and their association with death and CFR. Methods: This observational cohort study was performed from 20th March 2020 to 18th March 2021 in three tertiary educational hospitals in Tehran, Iran. All patients were admitted based on the WHO, CDC, and Iran's National Guidelines. Their information was recorded in their medical files. Multivariable analysis was performed to assess demographics, clinical profile, outcomes of disease, and finding the predictors of death due to COVID-19. Results: Of all 5318 participants, the median age was 60.0 years, and 57.2% of patients were male. The most significant comorbidities were hypertension and diabetes mellitus. Cough, dyspnea, and fever were the most dominant symptoms. Results showed that ICU admission, elderly age, decreased consciousness, low BMI, HTN, IHD, CVA, dialysis, intubation, Alzheimer disease, blood injection, injection of platelets or FFP, and high number of comorbidities were associated with a higher risk of death related to COVID-19. The trend of CFR was increasing (WPC: 1.86) during weeks 25 to 51. Conclusions: Accurate detection of predictors of poor outcomes helps healthcare providers in stratifying patients, based on their risk factors and healthcare requirements to improve their survival chance.