Correlation Between Diabetes and COVID-19 Indices: A Global Level Ecological Study.

Introduction: Coronavirus is threatening the global public health as a new and widespread crisis. The researchers must keep in mind that one of the most vulnerable groups to COVID-19 are the people with underlying diseases, especially diabetes. Objective: This ecological study aimed to investigate the correlation between diabetes and the epidemiological indices of COVID-19. Methods: This ecological study included 144 countries. Their available data consists of the cumulative incidence rate of cases, cumulative incidence rate of death, recovery rate, case fatality rate, and performed tests of COVID-19, and diabetes. To collect the variables, a data set was provided which included the information of 144 countries based on diabetes and COVID-19 indices. Spearman coefficients were used for assess correlation between diabetes and COVID-19 indices. Also, Scatter plots of diabetes for the studied countries were drawn based on cumulative incidence rate of cases, cumulative incidence rate of death, tests, recovery rate, and case fatality rate of COVID-19. Results: The results of this ecological study showed in total countries, there was a weak positive correlation between diabetes and cumulative incidence rate of cases and also cumulative incidence rate of death. Correlation between diabetes with test of COVID-19 was very weak. Scatter plots showed a weak liner correlation between diabetes and cumulative incidence rate of cases, cumulative incidence rate of death and test of COVID-19. Conclusions: In this study, there was a weak positive correlation between diabetes and cumulative incidence rate of cases, cumulative incidence rate of death, and performed test of COVID-19. This disease is an enormous challenge for health policymakers; therefore, it is necessary to develop strategies and practical guidelines specific to each region to take the necessary care, especially for diabetic patients.

Postmortem Histopathologic Findings and SARS-CoV-2 Detection in Autopsy Kidneys of Patients With COVID-19: A Systematic Review and Meta-Analysis.

OBJECTIVES: This systematic review and meta-analysis aimed to investigate the prevalence of postmortem kidney histopathologic features of patients with coronavirus disease 2019 (COVID-19) in addition to the rate of renal tropism in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). METHODS: We searched Web of Science, PubMed, Embase, and Scopus up to September 2022 to identify eligible studies. A random-effects model was used to estimate the pooled prevalence. Cochran Q test and Higgins I2 were used to assess evidence of heterogeneity. RESULTS: In total, 39 studies were included in the systematic review. The meta-analysis included 35 studies consisting of a total of 954 patients, with an average age of 67.1 years. The pooled prevalence of acute tubular injury (ATI)-related changes was the predominant finding (85% [95% confidence interval, 71%-95%]), followed by arteriosclerosis (80%), vascular congestion (66%), and glomerulosclerosis (40%). Endotheliitis (7%), fibrin microthrombi (12%), focal segmental glomerulosclerosis (1%), and calcium crystal deposits (1%) were seen in a smaller number of autopsies. The overall average rate of virus detection was 47.79% in the pooled data of 21 studies (272 samples). CONCLUSIONS: The main finding-ATI-correlated to clinical COVID-19-associated acute kidney injury. The presence of SARS-CoV-2 in kidney samples in addition to vascular lesions in kidneys can be linked to direct kidney invasion by the virus.

Correlation between human development index and its components with COVID-19 indices: a global level ecologic study.

BACKGROUND: Given that COVID-19 continues to spread worldwide, attempts to restrain the virus and to prevent the effects that critically ill patients with COVID-19 have on healthcare systems, has become a public health priority. This ecological study aimed to investigate the correlation between the Human Development Index (HDI) and the epidemiological indicators of COVID-19, including the cumulative incidence rate of cases, the cumulative incidence rate of death, performed COVID-19 tests per million, recovery rate, and case fatality rate. METHODS: In this ecological study, a data set was provided, which included the epidemiologic indices of COVID-19, HDI, and its components for each country. Correlation coefficients were used to determine linear correlation. Also, the scatter plots of the HDI for the studied countries based on the epidemiologic indices of COVID-19 were drawn. RESULTS: This study showed that HDI and its components had positive correlation with a cumulative incidence rate of cases, the cumulative incidence rate of death, and performed COVID-19 tests (p < 0.001). HDI and two of its components, including literacy and Gross National Income (GNI) components had negative correlation with case fatality rate (CFR). Also, HDI and two of its components, including literacy and life expectancy components had negative correlation with recovery rate. CONCLUSION: Our study showed that the HDI and its components can affect the epidemiological status of COVID-19. As HDI increased, the cumulative incidence rate of cases, cumulative incidence rate of death, and COVID-19 tests increased as well. As HDI increased, CFR and recovery rate decreased as well. Although the HDI is higher in high-income countries, these countries may have also better reporting and surveillance systems.

Attributes of Organizational Health Literacy in Health Care Centers in Iran: A Qualitative Content Analysis Study.

Organizational Health Literacy (OHL) is described as a new concept to remote health organizations to implement practices, policies, and systems that make it easier for patients to use, understand, and navigate health information to take care their own health. In Iran, there is no consensus on the attributes of OHL, and its practical implications and scope have not been evaluated. This manuscript is one of the first attempts to explain the attributes of the OHL in health care centers in Iran. This study is a content analysis survey, which was guided by the attributes of the OHL provided by Brach et al. and 26 semi-structured interviews were conducted with Iranian health professionals and employees of healthcare organizations from June 2020 to January 2021. A data analysis was performed using the MAXQDA 10 software. Across the study, ten sub-themes, 21 subcategories, and 67 codes emerged. The 10 main attributes of OHL were management, integration of health literacy in the organization, workforce, participation, range of HL skills, HL strategies, access, media variety, the role of the organization in crisis, and costs. These attributes may guide the planning of health care centers improvements and have the potential to promote health service reforms and public health policy.

Epidemiological characteristics and outcomes of COVID-19 in asymptomatic versus symptomatic patients.

Background: The clinical manifestations of COVID-19 are different, which can be attributed to asymptomatic carriers, acute respiratory disease and pneumonia with different severities. The aim of this study was to compare the epidemiological characteristics and outcomes of COVID-19 in patients with clinical symptoms versus asymptomatic patients. Methods: In this retrospective cohort study, the epidemiological characteristics of two groups of patients, with clinical symptoms (n = 38,630) and without clinical symptoms who were definitive cases of COVID-19 (n = 2,327) were investigated in the southwestern of Iran. Chi-square test was used to evaluate the differences between qualitative variables in the two study groups. Results: Of 40,957 patients with COVID-19, 2,327 (5.68%) were asymptomatic, of whom 1391 (59.77%) were males, 1841 patients (79.11%) had a history of contact with definite or suspected cases of COVID-19. Asymptomatic patients were older than symptomatic cases. Patients with clinical symptoms had higher mortality rate than asymptomatic patients (2.68% in symptomatic patients vs 0% in asymptomatic patients). Conclusion: According to the results of our study, the detected viral load in asymptomatic individuals was similar to that of symptomatic patients, indicating that asymptomatic infections can potentially transmit the disease. Therefore, screening and detection of asymptomatic cases is an important and key measure in prevention and early control of COVID-19 worldwide.

Pediatrics Infected with COVID-19: A Case Series Study on Pediatrics Hospitalized in a Referral Pediatric Hospital.

INTRODUCTION: COVID-19 infection which is a novel pneumonia associated with coronavirus suddenly broke out in the world. The aim of this study is to analyze and summarize the clinical characteristics of pediatric patients who were hospitalized in a referral pediatric hospital because of COVID-19 infection. MATERIALS AND METHODS: Twenty-one COVID-19 infection cases confirmed by clinical and laboratory findings who were hospitalized in our center from 20 February to 19 April 2020 were included. Demography information, clinical, laboratory, and radiological findings, and treatment strategies of patients were evaluated. RESULTS: The mean age was 91.5 ± 68.38 months (1-225), and there were 12 (57.1%) boys and 9 (42.9%) girls. Fever ≥ 38°C was detected in 11 (52.4%) patients. Eleven (52.3%) patients had tachypnea, and 4 (19%) of them developed tachycardia. Nine CT scans (42.85%) demonstrated a halo sign, and patchy infiltration was seen in CT scan of 7 patients (33.33%). Furthermore, bilateral crazy-paving pattern was seen in CT scan of nine (42.85%) patients. We prescribed chloroquine in 8 (38.1%), oseltamivir in 8 (38.1%), Kaletra in 6 (28.6%), and Ribavirin in 1 (4.8%) of patients. Finally, four (19.04%) patients expired which one of them suffered from ARDS. CONCLUSIONS: We found out that boys might develop more severe cases of COVID-19, and this could be more common in school age. Manifestations might be milder than adults, and the most severe cases might be associated with underlying diseases. Also, the effectiveness of drugs in the treatment of this disease needs further study.

Correlation between environmental factors and COVID-19 indices: a global level ecological study.

This global level ecological study aimed to investigate the correlation between environmental factors and the COVID-19 indices. This survey is an ecological study, so all studied variables are aggregate variables. To collect the variables in the study, a data set was provided, which includes the information of each country based on the cumulative deaths, case fatality rate, recovery rate, and the number of performed COVID-19 tests. Scatter plots of environmental factors for the studied countries were drawn based on cumulative incidence rate of cases, cumulative incidence rate of death, tests, recovery rate, and case fatality rate of COVID-19. Furthermore, Spearman correlation coefficient was also used to verify the correlation between environmental factors and indicators related to COVID-19. The results of this ecological study showed that among all countries surveyed, Montenegro (60,310.56 per million) and Luxembourg (54,807.89 per million) had the highest cumulative incidence rates of COVID-19 cases, when Tanzania (8.42 per million) and Vietnam (13.78 per million) had the lowest cumulative incidence rates of COVID-19. In addition, in this study, it was shown that the cumulative incidence rate of cases, the cumulative incidence rate of deaths, and performed COVID-19 tests had significant direct correlations with the access to drinking water and the access to sanitation services (p < 0.001). The findings of the present study showed an inverse correlation between the mortality rate due to unhealthy water consumption, poor health status, and a positive correlation between access to drinking water and health services with the cumulative incidence and mortality rates of COVID-19. The differences between our findings and many other studies could be due to the ecological nature of the study. Nevertheless, our findings will help health policymakers to develop timely strategies to reduce the mortality and incidence rate of COVID-19.

Epidemiological and clinical characteristics of the COVID-19 epidemic and associated factors for mortality in Golestan province, Iran: a retrospective cohort study.

BACKGROUND: We aimed to further clarify the epidemiological and clinical characteristics of 2019-nCoV pneumonia and risk factors associated for mortality. METHODS: In this study, we included inpatient with acute respiratory distress syndrome at Golestan Hospitals who had been discharged or had died in 2020. Epidemiological, and clinical data were extracted from electronic medical records and compared between recovered and died cases. We used multiple logistic regression methods to explore the risk factors associated with in-hospital death. RESULTS: Overall 2,835 acute respiratory distress syndrome patients were included in this study, and 874 (30.83%) were positive for 2019-nCoV. Five hundred and sixty-three patients (19.86%) died, 1,687 patients (59.51%) were recovered. Of the total deaths, only 288 (10.15%) were attributed to COVID-19. The most common symptoms at onset of illness were respiratory distress [1,795 (63.32%)], fever [1,601 (56.47%)], dry cough [1,595 (56.26%)], sore throat [445 (15.70%)], and myalgia [342 (12.06%)]. One thousand and twelve (35.7%) had 1 or more coexisting medical conditions. In multiple logistic regression analysis, risk factors associated with the death included older age [OR (Odds Ratio) = 1.03; 95% CI; 1.02-1.04], blood oxygen level (SPO2 < 93%) (OR = 2.44; 95% CI; 1.79-3.31), comorbidities (OR = 2.15; 95% CI; 1.62-2.84), respiratory distress (OR = 1.74; 95% CI; 1.28-2.37), and headache (OR = 0.44 95% CI; 0.21-0.92). CONCLUSIONS: The 2019-nCoV infection caused collections of severe respiratory illness and was associated to a high ratio of hospitalization in ICU and high mortality. Older age and comorbidities were associated with more risk of death among patients with 2019-nCoV.