مقالات رزومه دکتر مسعود میرزایی

During the COVID-19 pandemic, the greatest focus was on the respiratory system, but recently awareness has increased about the cardiovascular manifestations of the COVID-19 disease and the adverse effect of cardiovascular involvement on its prognosis. Since so far no comprehensive study has investigated electrocardiogram changes in patients with COVID-19 in Iran, the purpose of this study is to assess electrocardiogram changes in adults aged 20-70 with and without a history of COVID-19.

The current study was a cohort study conducted on two groups of working people with a history of COVID-19 and controls without a history of COVID-19. The case and control subjects were selected randomly from the participants of the Yazd Health study and the Shahdieh cohort study. ECG was taken from both groups before and after Covid-19 and then QTc interval and ST segment measurements were recorded and interpreted.

In the present study, 77 patients including 45 patients with COVID-19 (58.4%) and 32 non-COVID-19 patients (41.6%) were selected. Heart rate/min before and after COVID-19 was 69.08±10.89 and 73.5±14.05, respectively (P<0.01). There was a non-significant difference before and after COVID-19 in terms of QTi, and QTc (P>0.05).

According to the results of the present study, COVID-19 disease is associated with a change in heart rate in the two studies' participants, but no effect was observed on the parameters of QTi, and QTC. Therefore, it seems that echocardiography is not necessary in patients with COVID-19.

Cardiovascular diseases, including ischemic heart disease (IHD), are one of the main cause of mortality and morbidity worldwide and are currently one of the top ten causes of death. Ischemic heart disease is a type of heart disease that is caused by narrowing of arteries feeding the heart itself. The present study aimed to use data mining algorithms in screening and early prediction of IHD according to the patient's characteristics and risk factors.

In this research, data of the first phase of Yazd Health Study (YaHS), focusing on 21 characteristics of 10,000 participants aged 20-70 years such as age, type of chest pain, blood sugar level, body mass index, employment status, etc. which have been collected since 2013 were analyzed.

Data analysis was conducted using Random Forest and Naive Bayes algorithms which showed 74.51% accuracy in predicting IHD.

The study findings revealed that via applying Random Forest and Naive Bayes algorithms, ischemic heart disease can be predicted with high accuracy. Moreover, early screening and timely treatment in the early stages of disease may reduce mortality and morbidity.

There is evidence that COVID-19 may have some long-term effects on the patients' blood biochemical and hematological factors. The purpose of this study was to investigate and compare the changes in biochemical and hematological factors in adults with and without past history of COVID-19.

The present study is a cross-sectional study including 72 cases with a past history of COVID-19 (PCR+ test) and 52 controls without a history of COVID-19. All participants were from two prospective cohort studies, namely Yazd Health Study (YaHS) and Shahedieh Cohort Study. Biochemical parameters such as blood glucose, lipid profiles, liver, kidney and hematological factors of cases and controls were extracted from the databases and analyzed.

The mean red blood cell count in patients with COVID-19 was significantly higher than in non-COVID-19 patients (p<0.05), and mean corpuscular volume (MCV) was significantly lower in patients with COVID-19 (p>0.001). However, no significant difference was found between the two groups in terms of lipid and kidney profiles and liver enzymes.

No significant difference was found between the two groups of patients exposed to COVID-19 and patients not exposed to COVID-19 in terms of liver enzymes, lipid and kidney profiles, which probably indicate that COVID-19 has no long-term effect on these variables. However, a significant difference was observed between the two groups (p<0.05) regarding the number of red blood cells and MCV.

Transdisciplinary education is necessary for the improvement of life quality and social sustainable development. The convergence of science also provides the opportunity to achieve this goal through collaborative learning and by crossing imaginary boundaries of various fields of knowledge. This study was part of a project titled "Application of artificial intelligence for developing tools for virtual education and counseling for prevention, diagnosis, treatment and self-care of cardiac patients" The aim was to share the experiences of professors and students participating in this transdisciplinary health oriented activity.

We used a qualitative method in this study. Purposive sampling and data collection was performed through a focused group discussion session and three individual semi-structured interviews. The process of data analysis was based on the Granham and Lundman method, and the accuracy of our data was examined with Guba and Lincoln criteria.

The participants included 22 students and faculty members of various disciplines of medical sciences, engineering and art. Classes and members of qualitative analysis included "individual development" (self-directed learning, self-confidence, responsibility) and "social development" (transdisciplinary vision, academic leadership and social responsibility).

Many of the themes, such as self-directed learning, self-confidence, responsibility and transdisciplinary vision, are hidden curriculum components that students learn through participating in team and problem-solving activities. Interdisciplinary activities are also effective for empowering faculty members in areas like academic leadership and creating a multidisciplinary perspective to respond to the needs of society.

Due to significant social, economic, cultural, and lifestyle changes in Iran during past decades and the relationship among the unstable social and economic status and mental complications the study of psychiatric disorders has become important and necessary, the aim of this study was epidemiology of psychiatric disorders in children and adolescents.

A total of 1035 children aged 6-18 years from Yazd Province, Iran were enrolled in this cross-sectional study in 2017 using a multistage cluster sampling method. Data were collected using the following inventories for school-age children (6-18 years): Kiddie-SADS-Present and Lifetime Version (K-SAD-SPL). Logistic regression and SPSS version 16 software were used for data analysis.

44.1% of participants were boys and 55.9% were girls. The mean age of the participants was 11.3±3.9 years. The prevalence of psychiatric disorders in children and adolescents was 35.5%. Meanwhile, anxiety disorders had the highest prevalence rate (22.2%) and among anxiety disorders, separation anxiety disorder (8.7%) and generalized anxiety (8.6%) were the most prevalent. There was a significant difference in all psychiatric disorders based on gender, more evident in the high rate of obsessive-compulsive disorder, enuresis, tic, attention deficit hyperactivity disorder, hyperactivity, oppositional defiant disorder, conduct disorder, smoking disorder, and epilepsy were more evident in boys (P-value < 0.05).

The prevalence rate of psychiatric disorders in young population of Yazd Province is relatively high and because of its impact on individuals' social and personal function, it could have substantial implications for mental health services.

Disruption of the sleep cycle can disrupt the activity of the hormonal rhythms. Given that diabetes mellitus (DM) is the most common endocrine disease, and few studies have been conducted to investigate its relationship with sleep quality, the present study aimed to investigate the relationship between sleep disorders and diabetes mellitus.

The present study was a descriptive, cross-sectional study. In this study, all adults aged 35-70 years from Shahedieh, Ashkezar, and Zarch Cities were investigated. The data used in this study included demographics, sleep variables, and fasting blood sugar level. Data were analyzed using SPSS V. 16 and Chi-square, T-test, ANOVA and regression.

The results showed that the prevalence of sleep less than 6 hours was significantly higher in people with diabetes type2, and also, the sleep latency increased with increasing blood sugar level (R=0.06, P=0.001). The results of regression analysis indicated that the chance of diabetes in people with a sleep duration of less than 6 hours was 12%, in people with a sleep latency of more than 15 minutes was 11%, in people who used sleep medications continuously was 15% and in people who nap during the day was 27% higher than other people.

According to the findings of this study, the prevalence of sleep disorders was higher in people with diabetes and sleep was a strong predictor for diabetes type2.

The identification of risk factors for breast cancer has an important role in examining the status of cancer care system. Therefore, the present study was conducted to determine the relationship between reproductive factors and breast cancer in women aged 35 to 70 years based on the data from the first phase of Shahedyeh Cohort Study (SCS) in Yazd province.

This descriptive, cross-sectional study was conducted using the data from the first phase of SCS in Yazd province in 2015-2017. In this study, 4820 women aged 35 to 70 years were investigated, including 25 (0.6%) with a history of breast cancer and 4795 (99.4%) without any history of breast cancer. The data used in this study included demographic and reproductive histories of the women. The data were analyzed using Chi-square, t-test, and logistic regression.

The results showed that breastfeeding for less than 11 months increases the chance of breast cancer by 2.78 times, hormone therapy after menopause by 2.07 times, the onset age of menopause ≥46 by 1.71 times, having a history of abortion by 1.63 times, taking contraceptive pills by 1.59 times, age at menarche ≤13 by 1.49 times, and being overweight and obesity by 1.45 times.

According to the results, breastfeeding for less than 11 months, hormone therapy after menopause, the onset age of menopause after 46 years, and taking contraceptive pills were the most important risk factors for breast cancer.

Due to the global burden of measles, many measures have always been taken to control and eradicate this disease. However, epidemics of this disease still sometimes occur in some parts of the world and Iran. The aim of this study was to investigate the epidemiology of measles cases in the south of Kerman Province during 2014-2015.

This descriptive cross-sectional study was performed on 326-suspected cases of measles using a checklist and review forms. Data were analyzed by SPSS software version 16.

During the years of 2004 and 2005, out of the total number of suspected cases (n=326), 23% were laboratory confirmed. The highest percentage of measles was in the age group of 1 to 4 years (45.3%) and above 10 years (30.7%) and the highest cases of measles were among males (61.3%). Most cases of definite measles were in people without a history of vaccination (61.3%), in Iranians (81.3%) and in rural areas (73.3%).

According to the results of the study, there is a need to pay attention to additional immunization in remote areas and in places of gathering of foreign nationals. The highest prevalence of measles were among people who did not have a history of measles vaccination, it seems that the measles vaccination program has not been very successful in the cities covered by the Jiroft University of Medical Sciences. It is recommended that additional studies be performed to determine the risk factors for measles.

SARS-COV 19 is a new coronavirus that was reported first time in 30 December 2019 in Wuhan, China. The first case of coronary heart disease in Iran was reported with a definitive test on February 18 in Qom province and the first case in Yazd province on 24 February. The World Health Organization (WHO) declared a Covid infection on March 11 a pandemic. The aim of this study was to investigate the seroepidemiology of COVID 19 in Yazd province.

The present study was a cross-sectional population-based study of seroepidemiological type that was conducted to investigate the serological prevalence of Covid-19 in the period of 3 to 20 May 2020 in Yazd Province. Sampling was clustered and it was without age and sex restrictions. Information was collected including demographic information, adherence to health protocols, and history of clinical symptoms of COVID 19. "Pishtaz ELISA Kit" was used to evaluate the IgG and IgM antibody titers against Covid 19. Chi-square, analysis of variance and T tests were used via SPSS.version.16 software

Mean age of the participants was 34.3± 17.5. Among the study participants, 507 (54.5%) were women. The serological prevalence of definite cases was 14.91% (95% CI: 12.91-16.91%) and suspicious cases were 2.85% (95% CI:1.85-3.85%). Ardakan City with 32% had the highest and Taft, Mehriz, Khatam with 7% had the lowest prevalence of COVID 19 (P <0.05).

By June 2020, nearly 18% of the population of the province was definitively or suspiciously infected with COVID 19. Unfortunately, up to 25% of the population does not follow the early prevention protocols of COVID 19.

Tooth loss is debilitating and affects the quality of life. This problem has multiple etiologies like microorganisms, physical activity, nutrition and smoking. The aim of this study was to determine the relationship between tooth loss and physical activity, dietary habits and smoking in adults of Yazd City.

This descriptive cross sectional study was conducted using the information of registration phase of the Yazd Peoplechr('39')s Health Study on 9966 residents in the age group of 20 to 70 years between 2014 and 2015. The data were obtained using standard questionnaires. Frequency and relationship between the variables were analyzed using SPSS 23 statistical software with descriptive and Chi-square statistical test.

The data of 4949 (49.9%) men and 5017 (50.6%) women were analyzed in this study. 23.3% of population had lost 9 teeth and more. There was a statistically significant relationship between tooth loss and age, physical activity, dietary habits and smoking (P ≤ 0.0001). However, there was no statistically significant relationship between tooth loss and gender (P = 0.84).

Considering the limitations of this study, resulted that aging, poor dietary habits, lack of physical activity and smoking related with tooth loss, but there is no relationship with gender.

Metabolic syndrome is a series of disorders such as central obesity, hypertriglyceridemia, decreasing HDL, abnormal blood glucose and hypertension that ultimately lead to the risk of cardiovascular disease, diabetes and other problems. The aim of this study was to determine the prevalence of this syndrome among adults in Yazd.

This study was performed using the data of the recruitment phase of "Yazd Health Study" (YaHS). More than 10,000 residents (aged 20-69 years) of Yazd Greater Area have participated in this prospective cohort study. Lifestyle data, disease history, and blood tests have been recorded. Sampling was cluster random based on the postal code of the residents of Yazd Greater Area. Out of the 10,000 participants in the study, approximately 4,000 people gave blood samples to the lab in the first phase and their data were used to calculate the syndrome. Metabolic syndrome was defined based on the ATP III criteria. Data were analyzed by SPSS Version 16.

The overall prevalence of syndrome was 33.3%. The prevalence had a significant relationship with age, age over 40 years, reaching to the highest level of over 50%. The prevalence in women was 39.9%, more than men, with 25.9%. Frequency of abnormal components of the syndrome was respectively waist circumference or abdominal obesity (47.1%), diastolic or systolic blood pressure (43.7%), triglyceride (41.6%), HDL (39.5%) and fasting blood glucose (21.7). 67.5% and 91.7% of those with syndrome were obese or overweight, respectively.

The study showed that the prevalence of metabolic syndrome, especially in women and those over 50 years old, is higher than other studies. General obesity, central obesity and hypertension are the most important components of metabolic syndrome in Yazd, which requires proper interventions.

Ischemic heart disease is one of the most common diseases, which has led to high mortality rates all over the world. This disease is caused by narrowing or blockage of coronary arteries, which are the provider of blood to the heart. Identifying the people susceptible to this disease and bringing changes in their lifestyles has been said to reduce the related mortality rates and increase the patient's longevity. Yazd people Health Study (YaHS) was conducted on a random sample of 10,000 people living in the city of Yazd, Iran in the years 2014-15 for a general health and disease survey. These data were first balanced by bootstrapping technique due to their unbalanced nature. Next, classification methods were used in the training phase. Various classifiers, such as artificial neural network, rule inducer, regression, and AdaBoost were used in order to evaluate the proposed method with two scenarios. The results showed that the screening of the people susceptible to ischemic heart disease had the most significant effect on increasing the sensitivity of the discovery classifier of CN2 subgroup through using balanced data by bootstrapping method followed by their analysis for the purpose of producing a sample of the patients. This classifier proved to have the potential for detecting 83.6% of the people susceptible to this disease. Therefore, it can be concluded that data mining methods are effective in screening for susceptible people with ischemic heart disease. This method can be compared with other traditional screening methods in that it is more cost-effective and faster.

Diabetes mellitus (DM) is a chronic disease with high prevalence in the world and Iran. Uncontrolled DM puts financial pressure on health system and society. It also affects patients physically and mentally, and changes their social relationship with others. In spite of advances in DM control, there is only a little information regarding patients’ experience of living with DM and coping with this disease in Iran. This study aimed to explore diabetic patients’ experience of coping with DM.   This qualitative study was conducted using grounded theory and semi-structured interviews in Yazd, Iran, in 2013. Fifteen diabetic patients (8 females and 7 males) were selected using purposive sampling. Recorded interviews were transcribed verbatim and analyzed using Strauss and Corbin method simultaneous with data collection. Guba and Lincoln criteria were used to ensure credibility of the findings. In this study, 73 primary codes, 22 primary categories, and 7 main categories for strategies of coping with DM were extracted. The categories include: perceived problem, trust in treatment recommendations, ability to predict prognosis, subjective theory, family support, comorbidities and life events. According to diabetic patients’ experience of living with DM, these factors have a key role in coping with diabetes. According to the results, the coping strategy of diabetic patients is a correlated, dynamic, complex, and constant concept influenced by the factors affecting diabetic patients and the disease. On the one hand, trust in treatment recommendations and ability to predict prognosis, and on the other hand, life events and family support affect coping strategies for diabetes. The findings of this study can help health policy makers to introduce interventions and educational programs to improve DM control.