Side effects of COVID-19 vaccines among Iranian healthcare workers: a retrospective cohort study.

INTRODUCTION: This study assessed the incidence and severity of side effects associated with coronavirus disease 2019 (COVID-19) vaccination among healthcare workers registered with the Medical Council of the Islamic Republic of Iran. METHODOLOGY: A retrospective cohort study was conducted on the healthcare workers focusing on the side-effects of COVID-19 vaccines from March to June 2021. Data were collected using online questionnaires. Multivariable logistic regression was used to assess the association between side effects of the vaccines and demographic variables, comorbidities, vaccine type, and history of COVID-19. RESULTS: Out of 42,018 people who were included, 55.85% reported at least one side effect after receiving the first vaccine dose. 4.59% of those with side effects sought diagnostic intervention or were referred to treatment centers. Multivariable logistic regression indicated that being a woman, higher education, having a history of COVID-19 infection, and having comorbidities increased the risk of side effects. The AstraZeneca vaccine significantly increased the risk of side effects compared to the Sputnik vaccine, while the Sinopharm vaccine decreased this risk. The risk of developing a side effect decreased with age. The risk of moderate and severe side effects was significantly associated with gender, younger age, comorbidities, and a history of COVID-19 infection. Moderate and severe side effects were less reported by those who received the Sinopharm vaccine. CONCLUSIONS: Clinical complications after COVID-19 vaccination, directly or indirectly caused by the vaccines, are common. However, the benefits of COVID-19 vaccines greatly outweigh the risk of reversible side effects, especially among the high-risk population.

Effectiveness, Immunogenicity and Safety of COVID-19 Vaccination in Pregnant Women: A Rapid Review Study.

Background: Pregnant women infected with the coronavirus disease 2019 (COVID-19) are at risk for adverse pregnancy outcomes, and the only real preventive strategy against COVID-19 is mass vaccination. This study aimed to examine the effectiveness, immunogenicity, and safety of Covid-19 vaccination in pregnant women. Methods: A combination of search terms was performed by 2 researchers independently in the Web of Science, PubMed, and Scopus databases, the World Health Organization website, and the US Centers for Disease Control (CDC) website up to February 2022. After the selection of eligible studies, the review process, description, and summarization of the selected studies were performed by the research team. Results: Finally, 22 articles were included in this study. Evidence supports the safety of COVID-19 vaccination during pregnancy. There is no risk of transmitting COVID-19 to infants during lactation. In addition, antibodies made by vaccination can protect infants through breast milk. Conclusion: The scientific community believes that being vaccinated as soon as possible is the best course of action because there is no evidence to suggest that the COVID-19 vaccine poses a risk to expectant or nursing women.

Intensive care unit admission and associated factors in patients hospitalised for COVID-19: A national retrospective cohort study in Iran.

OBJECTIVES: This study aimed to determine factors associated with intensive care unit (ICU) admission in patients hospitalised due to COVID-19. DESIGN: Retrospective cohort. SETTING: Confirmed hospitalised patients from all over Iran were considered for the study. PARTICIPANTS: All patients with COVID-19 admitted to the hospital from March 2020 to May 2021 were included by census. ICU admission was defined by the following criteria: (1) admission to the ICU ward; (2) level of consciousness (loss of consciousness); and (3) use of invasive ventilation. METHODS: This is a secondary data analysis from the Medical Care Monitoring Center. The association between different variables and ICU admission was assessed by forward Logistic regression and restricted cubic spline method. RESULTS: The mean age of the 1 469 620 patients with COVID-19 was 54.49±20.58 years old, and 51.32% of the patients were male. The prevalence of ICU admission was 19.19%. The mean age of patients admitted to the ICU was higher than that of other hospitalised patients (62.49±19.73 vs 52.59±20.31 years). The prevalence of ICU admission was 17.17% in the first, 21.52% in the second, 19.72% in the third, 21.43 in the fourth and 17.4% in the fifth wave. In the multivariable model, age groups, sex, waves of the epidemic, comorbidities and saturation of peripheral oxygen (SpO2) <93% and acute respiratory distress syndrome (ARDS) were associated with an increased odds of ICU admission. The OR for ICU admission indicates a significant protective effect at a young age and then a significant risk factor for admission to the ICU ward at an old age. CONCLUSIONS: Men, older adults, people who suffer from ARDS, patients with SpO2 levels of less than 93% and cases with comorbidities had the highest odds of ICU admission. Therefore, these groups should take all necessary precautions to avoid contracting COVID-19.

Risk Factors Associated with Severity and Death from COVID-19 in Iran: A Systematic Review and Meta-Analysis Study.

Objectives: This study aims to investigate the risk factors associated with severity and death from COVID-19 through a systematic review and meta-analysis of the published documents in Iran. Methods: A systematic search was performed based on all articles indexed in Scopus, Embase, Web of Science (WOS), PubMed, and Google Scholar in English and Scientific Information Database (SID) and Iranian Research Institute for Information Science and Technology (IRA)NDOC indexes in Persian. To assess quality, we used the Newcastle Ottawa Scale. Publication bias was assessed using Egger's tests. Forest plots were used for a graphical description of the results. We used HRs, and ORs reported for the association between risk factors and COVID-19 severity and death. Results: Sixty-nine studies were included in the meta-analysis, of which 62 and 13 had assessed risk factors for death and severity, respectively. The results showed a significant association between death from COVID-19 and age, male gender, diabetes, hypertension, cardiovascular disease (CVD), cerebrovascular disease, chronic kidney disease (CKD), Headache, and Dyspnea. We observed a significant association between increased white blood cell (WBC), decreased Lymphocyte, increased blood urea nitrogen (BUN), increased creatinine, vitamin D deficiency, and death from COVID-19. There was only a significant relationship between CVD and disease severity. Conclusion: It is recommended that the predictive risk factors of COVID-19 severity and death mentioned in this study to be used for therapeutic and health interventions, to update clinical guidelines and determine patients' prognoses.

Psychometric properties of Haj-Yahia's questionnaire of violence against women in a sample of married women in Tehran, Iran.

BACKGROUND: Abuse against women causes great suffering for the victims and is an important health problem among women. To date, a few screening instruments for wife abuse exist for married women in Iran, but they only assess some of the wife abuse components. The aim of this study was to investigate the psychometric properties and factor structure of the Haj-Yahia's Questionnaire in a sample of married women residing in Tehran. MATERIALS AND METHODS: This is a cross-sectional study with a population consisting of married women in Tehran, among which 471 individuals were selected using convenience sampling method. Psychometric properties of the questionnaire were evaluated using face validity, content validity, construct validity, internal consistency, and stability. Confirmatory factor analysis was performed using the weighted least square mean and variance adjusted. We performed confirmatory factor analysis using Mplus version 8 software and for other calculations, we used STATA V14. RESULTS: The quantitative results of face validity and content validity indicated that all items of the questionnaire were in acceptable range, and were retained in the study. In CFA results, the model fit indices were acceptable (TLI = 0.986, CFI = 0.987, RMSEA = 0.039 and SRMR = 0.057). Cronbach's alpha coefficient for psychological abuse, physical abuse, sexual abuse, and economic abuse were estimated 0.90, 0.93, 0.79, and 0.78 respectively, and an alpha of 0.95 was found for the total questionnaire. The intra-cluster correlation index was 0.98. CONCLUSIONS: Findings showed that the Persian version of the questionnaire of violence against women made it possible to evaluate various dimensions of violence using 4 factors and showed good construct validity and internal reliability in the female population in Iran; therefore, it can be used in future studies.

Epidemiologic characteristics of cases with reinfection, recurrence, and hospital readmission due to COVID-19: A systematic review and meta-analysis.

Recent studies reported that some recovered COVID-19 patients have tested positive for virus nucleic acid again. A systematic search was performed in Web of Science, PubMed, Scopus, and Google Scholar up to March 6, 2021. The pooled estimation of reinfection, recurrence, and hospital readmission among recovered COVID-19 patients was 3, 133, and 75 per 1000 patients, respectively. The overall estimation of reinfection among males compared to females was greater. The prevalence of recurrence in females compared to males was more common. Also, hospital readmission between sex groups was the same. There is uncertainty about long-term immunity after SARS-Cov-2 infection. Thus, the possibility of reinfection and recurrence after recovery is not unexpected. In addition, there is a probability of hospital readmission due to adverse events of COVID-19 after discharge. However, with mass vaccination of people and using the principles of prevention and appropriate management of the disease, frequent occurrence of the disease can be controlled.

Epidemiologic Parameters for COVID-19: A Systematic Review and Meta-Analysis.

Background: The World Health Organization (WHO) declared the coronavirus disease 2019 (COVID-19) outbreak to be a public health emergency and international concern and recognized it as a pandemic. This study aimed to estimate the epidemiologic parameters of the COVID-19 pandemic for clinical and epidemiological help. Methods: In this systematic review and meta-analysis study, 4 electronic databases, including Web of Science, PubMed, Scopus, and Google Scholar were searched for the literature published from early December 2019 up to 23 March 2020. After screening, we selected 76 articles based on epidemiological parameters, including basic reproduction number, serial interval, incubation period, doubling time, growth rate, case-fatality rate, and the onset of symptom to hospitalization as eligibility criteria. For the estimation of overall pooled epidemiologic parameters, fixed and random effect models with 95% CI were used based on the value of between-study heterogeneity (I2). Results: A total of 76 observational studies were included in the analysis. The pooled estimate for R0 was 2.99 (95% CI, 2.71-3.27) for COVID-19. The overall R0 was 3.23, 1.19, 3.6, and 2.35 for China, Singapore, Iran, and Japan, respectively. The overall serial interval, doubling time, and incubation period were 4.45 (95% CI, 4.03-4.87), 4.14 (95% CI, 2.67-5.62), and 4.24 (95% CI, 3.03-5.44) days for COVID-19. In addition, the overall estimation for the growth rate and the case fatality rate for COVID-19 was 0.38% and 3.29%, respectively. Conclusion: The epidemiological characteristics of COVID-19 as an emerging disease may be revealed by computing the pooled estimate of the epidemiological parameters, opening the door for health policymakers to consider additional control measures.

Which criteria were used to describe patients with COVID-19? A systematic review and meta analysis of clinical, laboratory, and imaging features.

Background: The unknowingness of COVID-19 compared to other respiratory diseases and gaining an overview of its diagnostic criteria led to this study, which was designed to summarize the signs and symptoms along with the clinical tests that described these patients. Methods: PubMed\MEDLINE, Web of Science, Core Collection, Scopus, and Google Scholar were systematically searched on September 27, 2020. After screening, we selected 56 articles based on clinical characteristics and laboratory and imaging findings in confirmed COVID-19 patients as eligibility criteria. To evaluate risk of bias, the Newcastle Ottawa scale, for publication bias, Egger's test, and for heterogeneity, I2 and tau test were used; and finally, random-effects models were used for pooled estimation. Results: Pooled estimates for frequently clinical symptoms were as follows: fever (78% [95% CI, 74-82]), cough (60% [95% CI, 57-63]), and fatigue (31% [95% CI, 26-36]); and they were as follows for laboratory findings in lymphocyte (1.02 [95% CI, 0.92-1.12]), CRP (19.64 [95% CI, 13.96- 25.32]), and platelet count (175.2 [95% CI, 165.2-185.2]); they were as follows for imaging findings in bilateral pneumonia (64% [95% CI, 56-72]), and ground glass opacity (60% [95% CI, 48-7]). Also, in the subgroup analysis, bilateral pneumonia with 18% and fatigue with 15%, had the highest difference in values between the groups. Conclusion: According to Forest plots, the CI and dispersion among studies were smaller in laboratory findings than in symptom and imaging findings, which might indicate a high alignment in the laboratory findings among studies.

Quality of Life and Related Factors in ß-Thalassemia Patients.

The ß-thalassemias are a group of genetic disorders defined by decreased levels of functional hemoglobin (Hb). In light of pivotal improvements in patient survival, the load of consistent treatment harms patients' quality of life (QOL). This study aimed to determine the QOL in patients with ß-thalassemia (ß-thal) in Iran and identify associated factors. This cross-sectional study was conducted among 1240 patients with ß-thal. Data for this study were obtained from the General, the TranQol (Transfusion-dependent QoL) Standard, and the Multidimensional Scale of Perceived Social Support (MSPSS) questionnaires. The univariate and multivariable linear regression was used in STATA version 14 to identify factors related to QOL. Overall, the QOL score was 103 ± 21.96, and adults had a higher score than children under 15 years old. Emotional health had the highest score (39.96 ± 11.54), and sexual activity in adults (1.87 ± 2.08) and activities related to education in children (10.43 ± 7.46) had the lowest. The multivariable linear regression analysis showed that the age, gender, age of blood transfusion initiation, Hb level, number of underlying diseases, and social support level by family and community significantly impact QOL. In exchange for an increase in comorbidities, patients' QOL decreased by 86.0% [odds ratio (OR) = 0.14, 95% confidence interval (95% CI): 0.04-0.45]. Many factors affecting the QOL can be controlled, so social support, increased Hb levels, regular and timely blood transfusions, and treatment can improve the thalassemia patients' QOL.

Short and Long-Term Survival Rates Following Myocardial Infarction and Its Predictive Factors: A Study Using National Registry Data.

Background: Coronary artery disease is the most common cause of death worldwide as well as in Iran. The present study was designed to predict short and long-term survival rates after the first episode of myocardial infarction (MI). Methods: The current research is a retrospective cohort study. The data were collected from the Myocardial Infarction Registry of Iran in a 12-month period leading to March 20, 2014. The variables analyzed included smoking status, past medical history of chronic heart disease, hypertension, diabetes, hyperlipidemia, signs and symptoms during an attack, post-MI complications during hospitalization, the occurrence of arrhythmias, the location of MI, and the place of residence. Survival rates and predictive factors were estimated by the Kaplan-Meier method, the log-rank test, and the Cox model. Results: Totally, 21 181 patients with the first MI were studied. There were 15 328 men (72.4%), and the mean age of the study population was 62.10±13.42 years. During a 1-year period following MI, 2479 patients (11.7%) died. Overall, the survival rates at 28 days, 6 months, and 1 year were estimated to be 0.95 (95% CI: 0.95 to 0.96), 0.90 (95% CI: 0.90 to 0.91), and 0.88 (95% CI: 0.88 to 0.89). After the confounding factors were controlled, history of chronic heart disease (p<0.001), hypertension (p<0.001), and diabetes (p<0.001) had a significant relationship with an increased risk of death and history of hyperlipidemia (p<0.001) and inferior wall MI (p<0.001) had a significant relationship with a decreased risk of death. Conclusion: The results of this study provide evidence for health policy-makers and physicians on the link between MI and its predictive factors.