The incidence of gluten-related disorders (GRDs) continues to increase and its global prevalence is estimated at approximately 5% of the population. Celiac disease (CD), dermatitis herpetiformis (DH), gluten ataxia (GA), wheat allergy (WA), and non-celiac gluten sensitivity (NCGS) are the five major GRDs that present with a wide range of clinical manifestations. The diagnosis of GRDs can be challenging because the typical and atypical clinical manifestations of the GRDs overlap. In this review, the current definitions of gluten-related disorders, focusing on their clinical features, diagnostic and therapeutic approaches are presented. We concluded that GRDs are usually diagnosed using a combination of clinical features, serological tests, and histopathological findings. Treatment usually involves dietary modification.

Background: Novel coronavirus disease (COVID-19) pandemic is rapidly growing due to high level of contagiousness. Different measures have been taken to slow the spread of the virus. Appropriate use of personal protective equipment (PPE) is one of these key measures. In this cross-sectional study, we investigated adherence of the general public to use of PPE and their knowledge regarding the rationale behind their use. Methods: Two samples were chosen from public places (a subway station and a city store) in Tehran, Iran, one of the countries affected by COVID-19. Individuals were observed for appropriate use of PPE and interviewed regarding their knowledge on some basic self-protection information. Results: Approximately, half of the 431 participants did not take any measures to ensure hand hygiene, while those who did not use respiratory protection were far fewer. A considerable number of individuals, however, did not use these PPE correctly. On the other hand, there was a gap in the knowledge of the general public regarding different aspects of protective measures. The majority of the participants were receptive towards education on preventive measurements through public media. Conclusion: Education is an important aspect in containing the COVID-19 pandemic, as it directly increases adherence of the general public to protective measures.

The aim of this study was to evaluate the death proportion and death risk of COVID-19 hospitalized patients over time and in different surges of COVID-19. This multi-center observational study was conducted from March 21, 2021 to October 3, 2021 which included the alpha and delta SARS-CoV-2 surges occurred in April and August in Tehran, respectively. The risk of COVID-19 death was compared in different months of admission. A total of 270,624 patients with COVID-19, of whom 6.9% died, were admitted to hospitals in Tehran province. Compared to patients admitted in March, a higher risk of COVID-19 death was observed among patients admitted to the hospital in July (HR 1.28; 95% CI 1.17, 1.40), August (HR 1.40; 95% CI 1.28, 1.52), September (HR 1.37; 95% CI 1.25, 1.50) and October (HR 4.63; 95% CI 2.77, 7.74). The ICU death proportion was 36.8% (95% CI: 35.5, 38.1) in alpha surge and increased significantly to 39.8 (95% CI 38.6, 41.1) in delta surge. The risk of COVID-19 death was significantly higher in delta surge compared to alpha surge (HR 1.22; 95% CI 1.17, 1.27). Delta surge was associated with a higher risk of death compared to alpha surge. High number of hospitalizations, a shortage of hospital beds, ICU spaces and medical supplies, poor nutritional status of hospitalized patients, and lack of the intensivist physicians or specialized nurses in the ICU were factors that contributed to the high mortality rate in the delta surge in Iran.

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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.

<b><i>Introduction:</i></b> Psychiatric disorders, especially anxiety, are considered extraintestinal manifestations of celiac disease (CD). <b><i>Objective:</i></b> This study aims to evaluate the level of anxiety in treated patients with CD in Iran. <b><i>Methods:</i></b> A total of 283 CD patients (190 female, 93 male) were enrolled in a study during 2016–2018 from 9 centers in Iran. The Zung Self-Rating Anxiety Scale questionnaire was completed. The anxiety index was calculated. Also, demographic data and the duration of treatment with a gluten-free diet (GFD) were recorded. Data were analyzed by SPSS version 20. <b><i>Results:</i></b> Anxiety symptoms were reported in 67.8% of patients. Female patients had a higher anxiety index than male patients. Duration of treatment with a GFD did not influence the anxiety index (17.3% were on a GFD for &#x3c;1 year, 33.6% for 1–2 years, and 49.1% had GFD for &#x3e;2 years; <i>p</i> = 0.86). <b><i>Conclusions:</i></b> These results suggest that anxiety symptoms are common among patients, especially females, with CD in Iran and GFD duration has no effect on their improvement.

Background: A gluten-free diet (GFD) is the only effective treatment of celiac disease (CD) that is associated with body mass index (BMI) changes. This study aimed to determine how GFD duration affects the BMI of Iranian patients with CD. Methods: In this prospective study, 215 patients with CD, who were on a GFD, were categorized into three groups according to the duration of compliance to GFD: 1. patients with less than 6 months of diet, 2. Patients who had a diet for 6 months to 2 years, and 3. patients with more than 2 years of diet. The BMI changes were assessed before and after adherence to the GFD. Results: Most patients’ weight remains in the same BMI category during different courses of GFD adherence. Patients who were underweight showed significant changes in their BMI following the diet in less than 6 months (P=0.033) and more than 2 years (P<0.001), and the number of weight gain cases increased over time. Conclusion: There is a need for careful, updated, and personalized nutrition management of patients with CD in different periods of the diet. Conducting similar studies with larger sample sizes in different regions can lead to providing expert dietary counseling for patients with CD.

Background: obesity is a risk factor for various diseases and can affect the disease course. Studies have shown detrimental effects of obesity on patients affected with SARS-CoV-2 including increased hospitalization and more severe disease. This study aims to investigate effects of obesity on symptom duration in patients with COVID-19 and investigate possibility of using BMI as a predictor of symptom duration in outpatient settings. Methods: patients diagnosed with COVID-19 between June and October 2020 who had no other comorbidities and were planned to receive treatment in the outpatient setting were enrolled in the study. Duration of the symptoms was determined based on participants’ self-report of their symptoms. Linear regression was used to create predictive models based on participants’ BMI, age, sex, disease presentation, and their self-reported symptom duration. Results: 210 patients were included in the final analysis. Patients with higher BMI had significantly longer symptom duration. Linear regression models showed highest correlation between BMI and symptom duration compared to other covariates. Conclusion: low error in predictions and high coverage of data variability showed BMI can be used as a predictive factor for symptom duration in COVID-19 patients treated in outpatient settings.