ABSTRACT
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.
ABSTRACT
BACKGROUNDS: Individuals with hypertension are at higher risk of COVID-19 infection and related mortality. This study was carried out to assess the epidemiological features and predictors of mortality in patients with COVID-19 with hypertension. METHODS: In this retrospective study, the epidemiological characteristics of two groups of patients with COVID-19 with hypertension (1927) and without hypertension (39030) were compared. Chi-square test was applied to evaluate the differences between qualitative variables in two study groups. Logistic regression was also used to determine predictors of mortality in patients with COVID-19 and in patients with COVID-19 with hypertension. RESULTS: The prevalence of hypertension in patients with COVID-19 was 4.7%, and 24.37% of COVID-19 related deaths occurred in these individuals. The average age of hypertension and nonhypertension patients was 61 and 37 years, respectively. Fever, cough, headache, anorexia, fatigue, and comorbid diseases, such as cardiovascular disease, chronic lung and kidney disease, diabetes, immunodeficiency disease, and thyroid disease, were significantly more frequent in people with hypertension than those without hypertension. The chances of mortality in patient with COVID-19 were 1.8 times higher in individuals with dyspnea, 1.25 in individuals with fever, 1.33 in individuals with cough, 3.6 in patients with hypertension, 2.21 in diabetics, and 2.2 in individuals with cardiovascular disease. Also, individuals with COVID-19 with hypertension that had dyspnea, immunodeficiency, and cardiovascular disease were at higher risk of mortality. CONCLUSION: Hypertension is a serious threat to patients with COVID-19. Therefore, in order to control these patients more precisely and reduce mortality in them, it is extremely important to develop prevention and treatment strategies.
ABSTRACT
Background: COVID-19 spread rapidly throughout the world and affected many people. The purpose of this study was to investigate the epidemiological characteristics of patients with COVID-19 in southwest of Iran from February 19 to June 20, 2020. Methods: In this retrospective study, the epidemiological characteristics of 7313 patients with COVID-19 in southwest of Iran were analyzed and reported from February 19, 2020, to the end of Jun,2020. Data were extracted from electronic records in hospitals. Sex ratio and mortality rate of the disease were calculated. A multiple logistic regression analysis was used to evaluate the factors affecting mortality. Results: From all patients studied, 3920 (53.5%) were men and 2066 (28.24%) were in the age 30 to 40 years age group. The case fatality rate of the disease based on the total number of patients (hospitalized and nonhospitalized) was 4.84%. The highest mortality rate was seen in patients with various cancers and in those aged over 80 years. The most common symptoms in patients were fever and cough, diabetes, hypertension, and cardiovascular diseases. Logistic regression results also showed that the chances of death in the 70-60 and 80-70 years age group were 5.94 (OR, 5.94; 95% CI, 2.14-16.43) and 8.63 (OR, 8.63, 95% CI, 3.09-24.14) compared to 10-20 years age group. Conclusion: These results indicate the need to increase primary care, provide the necessary equipment to treat patients, and more importantly, early identification of patients and treatment for them.
ABSTRACT
Objectives and background: People with diabetes (PWD) are one of the high-risk groups for coronavirus disease 2019 (COVID-19) infection, increasing the disease mortality. This study was aimed to compare the epidemiological characteristics and outcomes of COVID-19 in diabetic versus non-diabetic individuals. Methods: In this retrospective observational study, the epidemiological characteristics of the two groups of diabetic (n=1365) and non-diabetic (n=15,026) subjects with definite diagnosis of COVID-19 in the southwestern region of Iran were compared. All clinical signs and comorbidities of the patients were evaluated. Chi-square test was used to examine the differences in qualitative variables between diabetic and non-diabetic groups. Results: Of 16,391 enrolled subjects, 8.3% had diabetes, and 28.3% of COVID-19-related deaths occurred in diabetics. Also, the mortality rate among diabetics was reported as 14.3%. The average age of diabetic patients and non-diabetic patients was 59 and 37 years, respectively. The odds of fever, cough, shortness of breath, headache, and underlying diseases, such as hypertension, cardiovascular disease, chronic lung disease, immune deficiency, and hyperlipidemia, were significantly higher in diabetic patients than in non-diabetics. Conclusion: Diabetes is associated with increased mortality rate in patients with COVID-19 and is considered as a major risk factor for COVID-19 infection, posing a major public health challenge for health policymakers in managing and controlling the disease. Therefore, development of prevention and treatment strategies aimed at reducing COVID-19 morbidity and mortality in diabetes patients is of significant importance.
ABSTRACT
BACKGROUND: Coronavirus, the cause of severe acute respiratory syndrome (COVID-19), is rapidly spreading around the world. Since the number of corona positive patients is increasing sharply in Iran, this study aimed to forecast the number of newly infected patients in the coming days in Iran. METHODS: The data used in this study were obtained from daily reports of the Iranian Ministry of Health and the datasets provided by the Johns Hopkins University including the number of new infected cases from February 19, 2020 to March 21, 2020. The autoregressive integrated moving average (ARIMA) model was applied to predict the number of patients during the next thirty days. RESULTS: The ARIMA model forecasted an exponential increase in the number of newly detected patients. The result of this study also show that if the spreading pattern continues the same as before, the number of daily new cases would be 3574 by April 20. CONCLUSION: Since this disease is highly contagious, health politicians need to make decisions to prevent its spread; otherwise, even the most advanced and capable health care systems would face problems for treating all infected patients and a substantial number of deaths will become inevitable.