Background: Regarding the growing burden of non-communicable diseases (NCDs) and exposure to their risk factors, and the continuous need for nationwide data, we aimed to develop the latest round of the STEPwise Approach to NCD Risk Factor Surveillance (STEPS) survey in 2021 in Iran, while the COVID-19 pandemic was still present. Methods: In addition to the three main steps of this survey, including questionnaires, physical measurements, and laboratory assessments, we adapted the survey with the situation caused by the COVID-19 pandemic, by adding to various aspects of study phases and changing some scientific and executive procedures in this round of STEPS survey in Iran. These changes were beyond the initial novelties embedded within the survey before the pandemic, by refining the study protocol benefiting from the previous experiences of the STEPS survey. Results: By amending the required changes, we could include a total of 27874 individuals in the first step of the survey. This number was 27745 and 18119 for the second and third steps. Comparing the preliminary results with the previous nationwide surveys, this study was highly representative on both national and provincial levels. Also, implementing the COVID-19 prevention and control strategies in all stages of survey led to the least infection transmission between the study investigators and participants. Conclusion: The novel initiatives and developed strategies in this round of Iran STEPS survey provide a state-of-the-art protocol for national surveys in the presence of an overwhelming catastrophe like the COVID-19 pandemic and the triggered limitations and shortages of resources.

Purpose Diabetes is one of the major comorbidities associated with COVID-19. We aimed to determine the clinical and epidemiological factors associated with the mortality of COVID-19 in diabetic patients in Iran, and also the impact of prescribed antiviral and antibiotics on patients’ status. Methods In this study, we used the national registry of hospitalized patients with Severe Acute Respiratory Syndrome (SARS) Symptoms with diabetes from February 18, 2020, to December 22, 2020. Demographic, clinical features, treatments, concurrent comorbidities, and their associations with mortality and severity outcomes were assessed using logistic regression. Results 78,554 diabetic in-patients with SARS symptoms were included from 31 provinces of whom 37,338 were PCR positive for COVID-19. Older age and male gender are associated with COVID-19 mortality in diabetic patients. CVD is the most frequent comorbidity (42%). CVD, kidney disease, liver disease, and COPD are associated comorbidities which increased the risk of mortality. The mortality rate is higher in diabetic patients comparing to patients with no comorbidities, particularly in younger age groups. The frequency of antiviral, and antibiotics in COVID-19 positive patients was 34%, and 31%, respectively. Antibiotic treatment has no association with mortality in COVID-19 patients. Conclusions Diabetic patients indicate higher mortality comparing to patients without any underlying comorbidities. Restrict strategies on increasing effective health care utilization must be considered in diabetic patients, especially in those with parallel underlying comorbidities. Regarding the antibiotic resistance issue and the noticeable use of antibiotics in diabetic patients, it is recommended to prioritize an antibiotic guideline prescription in COVID-19 patients for better stewardship by countries.

Background: . Low back pain is one of the major causes of morbidity worldwide. Studies on low back pain quality of care are limited. This study aimed to evaluate the quality of care of low back pain worldwide and compare gender, age, and socioeconomic groups. Methods: . This study used GBD data from 1990 to 2017 from the Institute for Health Metrics and Evaluation (IHME) website. Extracted data included low back pain incidence, prevalence, disability-adjusted life years (DALYs), and years lived with disability (YLDs). DALYs to prevalence ratio and prevalence to incidence ratio were calculated and used in the principal component analysis (PCA) to make a proxy of the quality-of-care index (QCI). Age groups, genders, and countries with different socioeconomic statuses regarding low back pain care quality from 1990 to 2017 were compared. Results: The proxy of QCI showed a slight decrease from 36.44 in 1990 to 35.20 in 2017. High- and upper-middle-income countries showed a decrease in the quality of care from 43.17 to 41.57 and from 36.37 to 36.00, respectively, from 1990 to 2017. On the other hand, low and low-middle-income countries improved, from a proxy of QCI of 20.99 to 27.89 and 27.74 to 29.36, respectively. Conclusion: . Despite improvements in the quality of care for low back pain in low and lower-middle-income countries between 1990 and 2017, there is still a large gap between these countries and higher-income countries. Continued steps must be taken to reduce healthcare barriers in these countries.

Cell-secreted extracellular vesicles (EVs), carrying components such as RNA, DNA, proteins, and metabolites, serve as candidates for developing non-invasive solutions for monitoring health and disease, owing to their capacity to cross various biological barriers and to become integrated into human sweat. However, the evidence for sweat-associated EVs providing clinically relevant information to use in disease diagnostics has not been reported. Developing cost-effective, easy, and reliable methodologies to investigate EVs’ molecular load and composition in the sweat may help to validate their relevance in clinical diagnosis. We used clinical-grade dressing patches, with the aim being to accumulate, purify and characterize sweat EVs from healthy participants exposed to transient heat. The skin patch-based protocol described in this paper enables the enrichment of sweat EVs that express EV markers, such as CD63. A targeted metabolomics study of the sweat EVs identified 24 components. These are associated with amino acids, glutamate, glutathione, fatty acids, TCA, and glycolysis pathways. Furthermore, as a proof-of-concept, when comparing the metabolites’ levels in sweat EVs isolated from healthy individuals with those of participants with Type 2 diabetes following heat exposure, our findings revealed that the metabolic patterns of sweat EVs may be linked with metabolic changes. Moreover, the concentration of these metabolites may reflect correlations with blood glucose and BMI. Together our data revealed that sweat EVs can be purified using routinely used clinical patches, setting the foundations for larger-scale clinical cohort work. Furthermore, the metabolites identified in sweat EVs also offer a realistic means to identify relevant disease biomarkers. This study thus provides a proof-of-concept towards a novel methodology that will focus on the use of the sweat EVs and their metabolites as a non-invasive approach, in order to monitor wellbeing and changes in diseases.

Colorectal cancer (CRC) patients are considered to have been cured when the mortality rate of individuals with the disease returns to the same level as expected in the general population. This study aimed to assess the impact of various risk factors on the cure fraction of CRC patients using a real dataset of Iranian CRC patients with a non-mixture non-parametric cure model. This study was conducted on the medical records of 512 patients who were definitively diagnosed with CRC at Taleghani Hospital, Tehran, Iran from 2001 to 2007. A non-mixture non-parametric cure rate model was applied to the data after using stepwise selection to identify the risk factors of CRC. For non-cured cases, the mean survival time was 1,243.83 days (95% confidence interval [CI], 1,174.65 to 1,313.00) and the median survival time was 1,493.00 days (95% CI, 1,398.67 to 1,587.33). The 1- and 3-year survival rates were 92.9% (95% CI, 91.0 to 95.0) and 73.4% (95% CI, 68.0 to 79.0), respectively. Pathologic stage T1 of the primary tumor (estimate=0.58; p=0.013), a poorly differentiated tumor (estimate=1.17; p<0.001), a body mass index (BMI) between 18.6 and 24.9 kg/m2 (estimate=-0.60; p=0.04), and a BMI between 25.0 and 29.9 kg/m2 (estimate=-1.43; p<0.001) had significant impacts on the cure fraction of CRC in the multivariate analysis. The proportion of cured patients was 64.1% (95% CI, 56.7 to 72.4). This study found that the pathologic stage of the primary tumor, tumor grade, and BMI were potential risk factors that had an impact on the cure fraction. A non-mixture non-parametric cure rate model provides a flexible framework for accurately determining the impact of risk factors on the long-term survival of patients with CRC.