Comparing the efficacy of fluconazole and cryotherapy Versus cryotherapy alone on treating cutaneous leishmaniasis: a triple-blind randomized clinical trial.

OBJECTIVE: Cutaneous Leishmaniasis (CL) is one of the highly prevalent endemic diseases in the Middle East. The disease is a complex skin infection imposing a heavy burden on many developing countries. This study aimed to evaluate the impact of adding oral fluconazole to topical cryotherapy on the treatment efficacy and time to achieve complete recovery of CL lesions. METHOD: This triple-blind randomized clinical trial included 52 participants with CL. Participants were allocated to receive either weekly cryotherapy with liquid nitrogen and oral fluconazole at a dose of 6 mg/kg daily at a maximum of 400 mg for 6 weeks as the interventional arm or weekly cryotherapy with liquid nitrogen plus the placebo for the same period of 6 weeks as the control arm. RESULTS: Fifty-two eligible participants enrolled the study, with a CL lesion count of 1 to 8 (mean 1.96), and served as the interventional (n = 28) and control (n = 24) arms. The trend of the mean surface area of the lesions was significantly decreasing in both arms (P < 0.001), with no statistically significant difference between arms (P = 0.133) or all assessed time point pairwise comparisons (P > 0.05). There was no significant difference between the treatment arms in terms of the end-point recovery status (P = 0.491) or the frequency of post-treatment secretion (P = 0.437). No adverse effect was observed. CONCLUSION: Despite a slightly higher reduction in the lesion surface in the cryotherapy and fluconazole treatment arm, the addition of fluconazole did not provide statistically significant therapeutic value to cryotherapy in the treatment of CL. However, with adjustment for the initial lesion size, the efficacy of the regimen in the interventional arm was more pronounced, though it was still insignificant.

A cross-sectional study determining prevalence and factors associated with ST-segment elevation myocardial infarction and non-ST segment elevation myocardial infarction in Iran: results from fasa registry on acute myocardial infarction (FaRMI).

BACKGROUND: Acute myocardial infarction is still a leading cause of death worldwide, accounting for roughly three million deaths yearly. This study aimed to investigate the prevalence and factors associated with ST-Segment Elevation Myocardial Infarction and Non-ST Segment Elevation Myocardial Infarction in Iran. METHODS: This cross-sectional study was conducted using the databases of the Fasa Registry on Acute Myocardial Infarction (FaRMI) and the Fasa Adult Cohort Study (FACS). chi-squared and one-way ANOVA tests were utilized to calculate the unadjusted associations between the study variables. A multivariate multinomial logistic regression model was also employed to determine the adjusted association of each independent variable with the risk of ST-elevation myocardial infarction (STEMI). RESULTS: The prevalence of STEMI and non-STEMI was 31.60% and 11.80%, respectively. Multinomial logistic regression showed that older age, anemia, high WBC, and high creatinine levels were associated with higher odds of STEMI and non-STEMI compared to healthy individuals. In addition, based on the analysis being a woman(OR = 0.63,95%CI:0.51-0.78), anemia(OR = 0.67,95%CI:0.54-0.63)and hypertension (OR = 0.80,95%CI:0.65-0.97)decreased the likelihood of STEMI occurrence compared to non-STEMI, while high WBC(OR = 1.19,95%CI:1.15-1.23)increased the odds. CONCLUSION: In this study, significant predictors of MI risk included age, gender, anemia, lipid profile, inflammation, and renal function. Subsequent investigations ought to prioritize the comprehensive understanding of the underlying mechanisms that drive these connections and assess the effectiveness of specific interventions aimed at diminishing the occurrence of MI and improving patient outcomes.

Excess Deaths During the COVID-19 Pandemic in Southern Iran: Estimating the Absolute Count and Relative Risk Using Ecological Data.

OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic led to increased mortality rates. To assess this impact, this ecological study aimed to estimate the excess death counts in southern Iran. METHODS: The study obtained weekly death counts by linking the National Death Registry and Medical Care Monitoring Center repositories. The P-score was initially estimated using a simple method that involved calculating the difference between the observed and expected death counts. The interrupted time series analysis was then used to calculate the mean relative risk (RR) of death during the first year of the pandemic. RESULTS: Our study found that there were 5571 excess deaths from all causes (P-score=33.29%) during the first year of the COVID-19 pandemic, with 48.03% of these deaths directly related to COVID-19. The pandemic was found to increase the risk of death from all causes (RR, 1.26; 95% confidence interval [CI], 1.19 to 1.33), as well as in specific age groups such as those aged 35-49 (RR, 1.21; 95% CI, 1.12 to 1.32), 50-64 (RR, 1.38; 95% CI, 1.28 to 1.49), and ≥65 (RR, 1.29; 95% CI, 1.12 to 1.32) years old. Furthermore, there was an increased risk of death from cardiovascular diseases (RR, 1.17; 95% CI, 1.11 to 1.22). CONCLUSIONS: There was a 26% increase in the death count in southern Iran during the COVID-19 pandemic. More than half of these excess deaths were not directly related to COVID-19, but rather other causes, with cardiovascular diseases being a major contributor.

Prevalence and factors associated with inter-arm systolic and diastolic blood pressure differences: results from the baseline Fasa Adult's Cohort Study (FACS).

BACKGROUND: One of the modifiable risk factors for cardiovascular diseases is the inter-arm blood pressure difference (IAD), which can be easily measured. This study aimed to determine the prevalence and factors related to the Iranian population's inter-arm differences in systolic and diastolic blood pressure. METHOD: This cross-sectional study was conducted on the baseline data of participants who had Iranian nationality, were at least 1 year of residence in the area, aged within the age range of 35-70 years, and willed to participate from the Fasa Persian Adult Cohort Study (FACS). IAD for systolic and diastolic blood pressure was measured and categorized into two groups of difference < 10 and ≥ 10 mmHg. Logistic regression was used to model the association between independent variables and IAD. RESULTS: The prevalence of systolic and diastolic IAD ≥ 10 mmHg was 16.34% and 10.2%, respectively, among 10,124 participants. According to the multivariable logistic regression models, age (adjusted odds ratio (aOR): 1.019 [95% CI: 1.013, 1.025]), body mass index (BMI) (aOR: 1.112 [95% CI: 1.016, 1.229]), having type 2 diabetes (aOR Yes/No: 1.172 [95% CI: 1.015, 1.368]), having chronic headaches (aOR Yes/No: 1.182 [95% CI: 1.024, 1.365]), and pulse rate (aOR: 1.019 [95% CI: 1.014, 1.024]) significantly increased the odds of systolic IAD ≥ 10 mmHg. Additionally, high socio-economic status decreased the odds of systolic IAD ≥ 10 mmHg (aOR High/Low: 0.854 [95% CI: 0.744, 0.979]). For diastolic IAD, age (aOR: 1.112 [95% CI: 1.015, 1.210]) and pulse rate (aOR: 1.021 [95% CI: 1.015, 1.027]) significantly increased the odds of diastolic IAD ≥ 10 mmHg. Moreover, high socioeconomic status decreased the odds of diastolic IAD ≥ 10 mmHg (aOR High/Low: 0.820 [95% CI: 0.698, 0.963]). CONCLUSION: The noticeable prevalence of systolic and diastolic IAD in general population exhibits health implications due to its' association with the risk of cardiovascular events. Sociodemographic and medical history assessments have potentials to be incorporated in IAD risk stratification and preventing programs.

Factors associated with late initiation of antiretroviral therapy in Iran's HIV/AIDS surveillance data.

Early initiation of Antiretroviral Treatment (ART) in HIV patients is essential for effectively suppressing the viral load and prognosis. This study utilized National HIV/AIDS Surveillance Data in Iran to identify factors associated factors with the duration to initiate ART. This hybrid cross-sectional historical cohort study was conducted on Iran's National HIV/AIDS Surveillance Data from 2001 to 2019. Sociodemographic characteristics, route of transmission, HIV diagnosis date, and ART initiation date were collected. Multivariable linear and quantile regression models were employed to analyze the duration to initiate ART by considering predictor variables. This study included 17,062 patients (mean age 34.14 ± 10.77 years, 69.49% males). Multivariate quantile regression coefficients varied across different distributions of the dependent variable (i.e., duration to initiate ART) for several independent variables. Generally, male gender, injecting drug use (IDU), and having an HIV-positive spouse were significantly associated with an increased duration to initiate ART (p < 0.05). However, a significant decrease was observed in older patients, those with a university level education, men who had sex with men (MSM), and patients diagnosed after 2016 (p < 0.05). Despite improvements in the duration to initiate ART after implementing the WHO's 2016 program in Iran, various sociodemographic groups were still vulnerable to delayed ART initiation in the region. Therefore, programs including early testing, early ART initiation, active care, educational and cultural interventions, and appropriate incentives are required for these groups.

Contrasting socioeconomic inequality with noncommunicable diseases: Insights from a population-based survey using the concentration index in Kong cohort study.

Background: Noncommunicable diseases (NCDs) are the major causes of mortality across the globe, which impose a substantial burden on health care systems, particularly in low- and middle-income countries. The present study aimed to determine socioeconomic inequality in the prevalence of NCDs using the concentration index (CI). Methods: This cross-sectional study was conducted on the baseline data of the Bandar Kong cohort. The principal component analysis was used to determine people's socioeconomic status (SES). The CI and Lorenz Curve were used for the assessment of socioeconomic inequality. Multivariate logistic regression was used to assess the relationship between SES and the prevalence of NCDs. A p Value less than 0.05 is considered significant. Results: Frequency and prevalence of diabetes was 653 (16.22%), hypertension 848 (21.06%), chronic lung diseases 161 (4%), epilepsy 70 (1.74%), mental disorders 191 (4.74%), stillbirth 299 (13.94%), thyroid disorders 391 (9.71%) and depression 146 (3.63%). CI for the prevalence of diabetes was [-0.107, %95 CI: -0.146 to -0.068], hypertension [-0.122, %95 CI: -0.155 to -0.088], chronic lung disease [-0.116, %95 CI: -0.202 to -0.03], psychiatric disorders [-0.230, %95 CI: -0.304 to -0.155], depression [-0.132, %95 CI: -0.220 to-0.043] and stillbirth [-0.162, %95 CI: -0.220 to -0.105]. The Gini index was negative for all these diseases, indicating that these are significantly concentrated in people of poor SES. Conclusions: The findings suggest that selected NCDs were concentrated among the poor and the low-income. Particular attention may be necessary to address the problem of NCDs among these groups.

Association between latent profile of dietary intake and cardiovascular diseases (CVDs): Results from Fasa Adults Cohort Study (FACS).

Cardiovascular diseases (CVDs) have been among the most significant non-communicable diseases. Dietary risks account for the most cause of CVDs mortalities. Evaluating overall dietary patterns (through the Latent profile of dietary intake) can provide a more accurate prediction regarding the prevalence of CVDs. The present cross-sectional study aimed to investigate the relationship between the latent profile of dietary intake and CVDs prevalence. The population of the Fasa Adults Cohort Study was employed to gather the data (n = 8319). A modified FFQ was employed to assess eating behaviors. Minerals, as well as the energy intake and total fiber, were measured using Nutritionist IV software (version 7.0). To estimate the prevalence of CVDs, accurate records of patients' histories were made. Individuals were clustered according to their dietary intake using latent profile analysis. The mean age was 48.75 ± 9.59 years, and 53.28% (4430) were women. 63.9% of participants with low Socioeconomic Status (SES) were in the low-intake profile (P < 0.001), and high SES increases the odds of being in the high-intake profile (ORhigh/low = 2.87, 95% CI 2.55-3.24). The low-intake group had the lowest amount of physical activity (Met) (P < 0.001). The result of multivariate logistic regression revealed that categorized in the low-intake group significantly increased the development of CVDs (OR = 1.32, 95% CI 1.07-1.63, P = 0.010). The mean micronutrients and total fiber, in individuals with a low intake profile, were significantly lower than other groups (P < 0.001). Overall, we estimated that a low intake of all food groups increases the odds of developing CVDs significantly.

Predictive value of triglycerides to high-density lipoprotein cholesterol and triglyceride glycemic index for diabetes incidence in pre-diabetes patients: a prospective cohort study.

BACKGROUND: The triglyceride glucose (TyG) and triglyceride-to-high-density lipoprotein cholesterol ratio (TG/HDL-c) are the indices that can predict the progression of pre-diabetes to type 2 diabetes mellitus (T2DM). This study aimed to examine the relationship between TyG and TG/HDL-c indices with the incidence of T2DM in pre-diabetes patients. METHODS: A total of 758 pre-diabetic patients aged 35-70 years who were enrolled in a prospective Fasa Persian Adult Cohort were followed up for 60 months. TyG and TG/HDL-C indices were obtained at baseline data and divided into quartiles. The 5-year cumulative incidence of T2DM was analyzed by Cox proportional hazards regression analysis while controlling for baseline covariates. RESULTS: During 5 years of follow-up, there were 95 incident cases of T2DM, with an overall incidence rate of 12.53%. After adjusting for age, sex, smoking, marital status, socioeconomic status, body mass index, waist circumference, hip circumference, hypertension, total cholesterol, and dyslipidemia, the multivariate-adjusted hazard ratios (HRs) demonstrated that patients with the highest TyG and TG/HDL-C indices quartile were at higher risk of T2DM (HR = 4.42, 95%CI 1.75-11.21) and (HR = 2.15, 95%CI 1.04-4.47), respectively, compared to participants in the lowest quartile. As the quantiles of these indices increase, the HR value shows a significant increment (P < 0.05). CONCLUSION: The results of our study showed that the TyG and TG/HDL-C indices can be important independent predictors for the progression of pre-diabetes to T2DM. Therefore, controlling the components of these indicators in pre-diabetes patients can prevent developing T2DM or delay its occurrence.

Association between inter-arm blood pressure difference and cardiovascular disease: result from baseline Fasa Adults Cohort Study.

The inter-arm blood pressure difference has been advocated to be associated with cardiovascular mortality and morbidity. Our study aimed to investigate the association between Inter-arm systolic and diastolic blood pressure differences and Cardio Vascular Disease (CVD). A total of 10,126 participants aged 35-70 years old were enrolled in a prospective Fasa Persian Adult Cohort. In this cross-sectional study, the cutoff values for inter-arm blood pressure difference were less than 5, greater than 5, greater than 10, and greater than 15 mm Hg. Descriptive statistics and logistic regression were used to analyze the data. Based on the results the prevalence of ≥ 15 mmHg inter-arm systolic and diastole blood pressure difference (inter-arm SBPD and inter-arm DBPD) were 8.08% and 2.61%. The results of logistic regression analysis showed that inter-arm SBPD ≥ 15 and (OR<5/≥15 = 1.412; 95%CI = 1.099-1.814) and inter-arm DBPD ≥ 10 (OR<5/≥10 = 1.518; 95%CI = 1.238-1.862) affected the risk of CVD. The results showed that the differences in BP between the arms had a strong positive relationship with CVD. Therefore, inter-arm blood pressure could be considered a marker for the prevention and diagnosis of CVD for physicians.

Duration of delayed diagnosis in HIV/AIDS patients in Iran: a CD4 depletion model analysis.

Objective: Delayed diagnosis of HIV can lead to an inappropriate response to antiretroviral therapy (ART), rapid progression of the disease, and death. It can also carry harmful effects on public health due to the increment of transmission. This study aimed to estimate the duration of delayed diagnosis (DDD) in HIV patients in Iran. Methods: This hybrid cross-sectional cohort study was conducted on the national HIV surveillance system database (HSSD). Linear mixed effect models with random intercept, random slope, and both were used to estimate the parameters required for the CD4 depletion model to determine the best-fitted model for DDD, stratified by the route of transmission, gender, and age group. Results: The DDD was estimated in 11,373 patients including 4,762 (41.87%) injection drug users (IDUs), 512 (4.5%) men who had sexual contact with men (MSM), 3,762 (33.08%) patients with heterosexual contacts, and 2,337 (20.55%) patients who were infected through other routes of HIV transmission. The total mean DDD was 8.41 ± 5.97 years. The mean DDD was 7.24 ± 0.08 and 9.43 ± 6.83 years in male and female IDUs, respectively. In the heterosexual contact group, DDD was obtained as 8.60 ± 6.43 years in male patients and 9.49 ± 7.17 years in female patients. It was also estimated as 9.37 ± 7.30 years in the MSM group. Furthermore, patients infected through other transmission routes were found with a DDD of 7.90 ± 6.74 years for male patients and a DDD of 7.87 ± 5.87 years for female patients. Conclusion: A simple CD4 depletion model analysis is represented, which incorporates a pre-estimation step to determine the best-fitted linear mixed model for calculating the parameters required for the CD4 depletion model. Considering such a noticeably high HIV diagnostic delay, especially in older adults, MSM, and heterosexual contact groups, regular periodic screening is required to reduce the DDD.

The effect of COVID-19 pandemic on diabetes care indices in Southern Iran: an interrupted time series analysis.

BACKGROUND: Type 2 diabetes mellitus (T2DM) requires a continues bulk of cares. It is very probable COVID-19 pandemic is affected its healthcare coverage. METHODS: The interrupted time series analysis is used to model the trend of diabetes healthcare indices, such as the health worker visits, physician visits, body mass index (MBI), fasting blood sugar (FBS), and hemoglobin A1c (HbA1c), before and after the start of COVID-19 pandemic. The reference of data was the totals of all T2DM patients living in Fars Province, Southern Iran, areas covered by Shiraz University of Medical Science (SUMS), from 2019 to 2020. RESULTS: A significant decrease for visits by the health workers, and physicians was observed by starting COVID-19 pandemic (ß2 = -0.808, P < 0.001, ß2 = -0.560, P < 0.001); Nevertheless, the coverage of these services statistically increased by next months (ß3 = 0.112, P < 0.001, ß3 = 0.053, P < 0.001). A same pattern was observed for the number of BMI, FBS and HbA1c assessments, and number of refer to hospital emergency wards (ß3 = 0.105, P < 0.001; ß3 = 0.076, P < 0.001; ß3 = 0.022, P < 0.001; ß3 = 0.106, P < 0.001). The proportion of T2DM patients with HbA1C < 7%, and controlled hypertension during study period was statistically unchanged. CONCLUSIONS: When the COVID-19 pandemic was announced, T2DM healthcare coverage drastically decreased, but it quickly began to rebound. The health monitoring system could not have any noticeable effects on diabetes outcomes.

Prevalence and risk factors associated with tuberculosis and HIV coinfection in Iran: A multivariate firth logistic regression for rare events.

INTRODUCTION: Among the complications caused by HIV infection, tuberculosis (TB) is the most important challenge. The study aimed to determine the predictors of TB and HIV coinfection by using Firth logistic regression analysis. METHODOLOGY: This cross-sectional study was conducted on 32,168 HIV-positive patients diagnosed in Iran. The required information was obtained from the national HIV/AIDS surveillance data. RESULTS: The prevalence of TB in HIV patients was 3.2%; the prevalence of TB in males and females was 944 (91.83%) and 84 (8.17%), respectively. Based on results of multivariate Firth logistic regression, male gender OR male/female = 1.91; injecting drug use (IDU) OR YES/NO = 1.46; illiterate or primary groups OR illiterate or primary /university = 2.23; high school group OR high school/ university = 2.24 all increased the risk of TB and HIV coinfection (p < 0.05). Also, having CD4 > 500 [OR CD4 > 500 / < 200 = 0.39], CD4 351-500 [OR351 / < 200 = 0.65], and CD4 200-350 [OR200-350 / < 200 = 0.64] decreased the risk of TB and HIV coinfection (p < 0.001). CONCLUSIONS: According to the results of this study, male gender, low education, injecting drug users, and low CD4 count at the time of diagnosis, were significant predictors of TB and HIV coinfection. Therefore, regular and periodic screening programs and linkage to the care and treatment of HIV patients need special attention.

Effect of the COVID-19 pandemic on maternal healthcare indices in Southern Iran: an interrupted time series analysis.

OBJECTIVES: Epidemics are anticipated to influence the coverage of health services. We assessed the impact of the COVID-19 pandemic on maternal healthcare indices and care providers' performance. SETTING: 1801 maternal healthcare centres under the auspices of Shiraz University of Medical Sciences, Shiraz, Southern Iran. PARTICIPANTS: Approximately 63 000 pregnant women. PRIMARY AND SECONDARY OUTCOME MEASURES: In this prospective ecological study, interrupted time series analysis was used to model and compare the trend of maternal healthcare indices before and after the COVID-19 pandemic announcement. RESULTS: The results showed a significant drop in count of preconception healthcare visits, first routine laboratory tests, first trimester prenatal care, first trimester sonography, prenatal screening for birth defects at weeks 11-13, prenatal care visits at weeks 16-20, second routine laboratory tests, second trimester sonography, prenatal care visits at weeks 24-30, prenatal care visits at weeks 31-34, postpartum care visits at days 10-15 and postpartum care visits at days 30-42 with the start of the COVID-19 pandemic (-50% (95% CI -48.68% to -51.36%), -19.67% (95% CI -22.12% to -17.15%), -25.88% (95% CI -28.46% to -23.21%), -23.84% (95% CI -26.26% to -21.34%), -20.16% (95% CI -23.01% to -17.20%), -18.53% (95% CI -21.25% to -15.71%), -28.63% (95% CI -31.03% to -26.14%), -27.48% (95% CI -30.07% to -24.79%), -31.08% (95% CI -33.43% to -28.61%), -31.84% (95% CI -34.35% to -29.23%), 32.55% (95% CI -35.12% to -29.89%) and -39.28% (95% CI -41.59% to -36.88%), respectively). Nevertheless, the trend in coverage of these services showed recovery in the subsequent months (8.36%, 10.55%, 5.74%, 8.01%, 4.40%, 5.06%, 11.20%, 7.58%, 7.38%, 7.80%, 9.59% and 9.61% per month, respectively). CONCLUSIONS: Using ecological data during the COVID-19 pandemic era, we observed a 'level change and slope change' as the major pattern of interruption of maternal healthcare coverage, indicating a possible indirect effect rather than a causative relationship. Such relative predictability might assist with future pandemic planning.

Prevalence of Late Presenters and Advanced HIV Disease in HIV Patients and Their Related Factors in Iran: Results from 19 Years of National Surveillance HIV Data.

Late presenters (LP) and Advanced HIV Disease (AHD) represent important missed opportunities to reduce secondary transmission and undesirable HIV outcomes. Despite efforts, the diagnoses are still delayed for the majority of patients. This cross-sectional study was conducted using the Iranian national HIV surveillance database from 2001 to 2019, to determine the factors affecting AHD and LP in Iran. To determine LP (CD4 ≤ 350 cells/µL) and AHD (CD4 ≤ 200 cells/µL), the first patients' CD4 at baseline were used. To examine the relationship between the covariates and LP or AHD, a Logistic Regression was applied. The adjusted odds ratio (AOR) stated to report the relationship. Totally, 13,571 patients were included in the study. Of these, 4,060 (29.92%) were AHD and 7,161 (52.77%) LP. Female gender [AOR = 0.88, 95% confidence interval (CI): 0.80-0.97], higher education (AOR = 0.80, 95% CI: 0.69-0.93), and having a positive HIV spouse (AOR = 0.75, 95% CI = 0.66-0.85) significantly decreased odds of LP (p < .05). However, older age (AOR = 2.53, 95% CI: 2.20-2.91) was a risk factor for LP. For AHD, years of detection (AOR = 1.16, 95% CI: 1.06-1.27), older age (AOR = 2.49, 95% CI: 2.12-2.92), and having a spouse with high-risk behavior (AOR = 1.23, 95% CI: 1.02-1.49) led to higher odds. (p < .05). Also, female (AOR = 0.82, 95% CI: 0.73-0.92) and having a positive HIV spouse (AOR = 0.67, 95% CI: 0.58-0.78) were protective factors for ADH. The present study estimated that approximately two-thirds of HIV patients are LP and one-third are AHD in Iran. Older age, male gender, lower education, and having a spouse with high-risk behavior were the factors affecting LP and AHD. Thus, to reduce the percentage of patients with LP and AHD in Iran, improvements in knowledge and periodic screening programs are necessary for these groups.

Factors associated with survival of Iranian patients with COVID-19: comparison of Cox regression and mixture cure model.

BACKGROUNDS: SARS-CoV-2 is almost the most problematic virus of this century. It has caused extensive damage to various economic, social, and health aspects worldwide. Nowadays, coronavirus disease 2019 (COVID-19) is the most dangerous threat to human survival. Therefore, this study aimed to investigate factors associated with the survival of Iranian patients with SARS-CoV-2. METHODS: This retrospective hospital-based cohort study was conducted on 870 COVID-19 patients with blood oxygen levels of less than 93%. Cox regression and mixture cure model were used and compared to analyze the patients' survival. It is worth noting that no similar study has been previously conducted using mixture cure regression to model the survival of Iranian patients with COVID-19. RESULT: The cure rate and median survival time were respectively 81.5% and 20 days. Cox regression identified that respiratory distress, history of heart disease and hypertension, and older age were shown to increase the hazard. The Incidence and Latency parts of the mixture cure model respectively revealed that respiratory distress, history of hypertension, diabetes and cardiovascular diseases (CVDs), cough, fever, and older age reduced the cure odds; also, respiratory distress, history of hypertension, and CVDs, and older age increased the hazard. CONCLUSION: The findings of our study revealed that priority should be given to older patients with a history of diabetes, hypertension, and CVDs in receiving intensive care and immunization. Also, the lower cure odds for patients with respiratory distress, fever, and cough favor early hospitalization before the appearance of severe symptoms.

The relationship between demographic features, anthropometric parameters, sleep duration, and physical activity with ECG parameters in Fasa Persian cohort study.

BACKGROUNDS: Cardiovascular Diseases (CVDs) are the first leading cause of death worldwide. The present study aimed to investigate the relationship between demographics, anthropometrics, sleep duration, physical activity, and ECG parameters in the Fasa Persian cohort study. METHODS: In this cross-sectional study, the basic information of 10,000 participants aged 35-70 years in the Fasa cohort study was used. The data used in this study included demographic data, main Electrocardiogram (ECG) parameters, anthropometric data, sleep duration, and physical activity. Data analysis was performed using t-test, chi-square, and linear regression model. RESULTS: Based on multivariate linear regression analysis results, increased age was significantly associated with all study parameters. Nevertheless, gender and body mass index showed no significant relationship with SV3 and PR. Wrist circumference, hip circumference and waist circumference significantly increased the mean values of the ECG parameters. However, sleep duration was not significantly associated with the ECG parameters. In addition, hypertension was major comorbidity, which was shown to increase the mean values of the ECG parameters. CONCLUSION: Several factors affected the ECG parameters. Thus, to interpret ECGs, in addition to age and gender, anthropometric indices, physical activity, and previous history of comorbidities, such as hypertension and ischemic heart disease, should be taken into consideration.

Socioeconomic inequality in noncommunicable diseases: Results from a baseline Persian cohort study.

Background: Contrary to health indices advancement during recent years, health inequalities are still a global challenge. This study aimed to determine socioeconomic factors for noncommunicable diseases using concentration indices (CI). Methods: This cross-sectional study was conducted on the baseline data from a cohort study in Fasa (southern Iran). Principle component analysis was used to measure asset index. Moreover, socioeconomic inequalities were calculated by CI. Analysis was done at 95% confidence level using STATA software. Results: A total of 7990 individuals were included in the study. The highest negative CIs were significantly found for epilepsy (-0.334), paramnesia (-0.255), and learning disabilities (-0.063), respectively, and the lowest were significantly found for chronic headaches (-0.046), recurrent headaches (-0.03), infertility (-0.028) and hypertension (-0.057). This index was positive for breast cancer (0.298). Furthermore, it was not Significant for diabetes, thyroid disorders, depression, and chronic lung diseases. Conclusion: The findings showed a significant inequality in the most of the noncommunicable diseases in the region, which are more concentrated among the poorest population. Policymakers in the health system and city planners should consider these results to decrease the burden of noncommunicable diseases in the society by identifying vulnerable subcategories.

Sensitivity and specificity of chest computed tomography scan based on RT-PCR in COVID-19 diagnosis.

PURPOSE: COVID-19 is a novel, severely contagious and progressive infection occurring worldwide. The diagnosis of the disease is based on real-time polymerase chain reaction (RT-PCR) and computed tomography (CT) scan, even though they are still controversial methods. MATERIAL AND METHODS: We studied 54 patients with suspected COVID-19 and the two mentioned methods were compared with each other. RESULTS: Sensitivity and specificity of the abnormal chest CT scan, ground-glass opacity (GGO), consolidation opacity, and both of GGO and consolidation were also surveyed based on RT-PCR. The results showed that RT-PCR assay was negative in 23 (42.6%) patients and positive in 31 (57.4%) cases. Also, the patients with an abnormal chest CT scan comprised 37 (68.5%). The sensitivity and specificity of abnormal CT scan were 78.6% and 42.3%, respectively, based on the RT-PCR method. CONCLUSIONS: Other techniques alongside CT scan and RT-PCR are advocated for accuracy of the COVID-19 diagnosis.

The comparison of plasma fibronectin in term and preterm delivery: A cross-sectional, descriptive-analytical study.

BACKGROUND: Preterm delivery is one of the main causes of infant death. Therefore, prediction of preterm delivery may eliminate a large number of prenatal complications. OBJECTIVE: The present study aimed to understand if preterm delivery can be predicted by assessing maternal plasma fibronectin concentration. MATERIALS AND METHODS: Serum samples from 105 pregnant women participating in this study were collected. The plasma fibronectin were measured at 24-28 wk of gestation and again at 32-36 wk of gestation. Unfortunately, only 65 of the 105 pregnant women, returned for the second sampling. The plasma fibronectin was analyzed using ELISA method and its concentration in term and preterm deliveries was compared. The delivery dates of all the women were also recorded. RESULTS: Out of 105 pregnant women, 28 delivered preterm (26.7%). The Plasma fibronectin concentrations in women with preterm delivery were higher than in those who delivered at term (p = 0.001). Accordingly, Plasma fibronectin concentrations were significantly higher in the second serum samples (p = 0.01). Plasma fibronectin concentrations was also higher in obese women and in those suffering from preeclampsia (p = 0.12) and gestational diabetes (p = 0.81). CONCLUSION: Plasma fibronectin concentrations test could be used as an optional screening test for preterm delivery at 28 to 34 wk of gestation in pregnant women who prefer to avoid vaginal sampling.