Search

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., Competing Interests: No Conflict of Interest is declared, (Copyright (c) 2024 Hassan Roudgari, Koorosh Etemad, Manoochehr Karami, Farideh Mostafavi, Sahar Sotoodeh Ghorbani, Kosar Farhadi Babadi, Elham Rahimi, Niloufar Taherpour, Seyed Mahmood Fattahi Masoom, Masoud Habibi, Hossein Kermanpour, Reza Laripour, Omid Manoochehri, Mohammad Raeeszadeh, Alireza Salimi, Babak Shekarchi, Ali Tajernia, Mohammad Reza Zafarghandi, Alireza Zali, Afshin Zarghi, Seyed Saeed Hashemi Nazari.)

Background: Sniffer dogs are able to detect certain chemical particles and are suggest to be capable of helping diagnose some medical conditions and complications, such as colorectal cancer, melanoma, bladder cancer, and even critical states such as hypoglycemia in diabetic patients. With the global spread of COVID-19 throughout the world and the need to have a real-time screening of the population, especially in crowded places, this study aimed to investigate the applicability of sniffer dogs to carry out such a task., Methods: Firstly, three male and female dogs from German shepherd (Saray), German black (Kuzhi) and Labrador (Marco) breeds had been intensively trained throughout the classical conditioning method for 7 weeks. They were introduced to human specimens obtained from the throat and pharyngeal secretions of participants who were already reported positive or negative for SARS-COV-2 infection be RT-PCR. Each dog underwent the conditioning process for almost 1000 times. In the meantime another similar condition process was conducted on clothes and masks of COVID-19 patient using another three male and female dogs from Labrador (Lexi), Border gypsy (Sami), and Golden retriever (Zhico) breeds. In verification test for the first three dogs, 80 pharyngeal secretion samples consisting of 26 positive and 54 negative samples from different medical centers who underwent RT-PCR test were in a single-blind method. In the second verification test for the other three dogs, masks and clothes of 50 RT-PCR positive and 70 RT-PCR negative cases from different medical center were used., Results: In verification test using pharyngeal secretion, the sniffer dogs' detection capability was associated with a 65% of sensitivity and 89% of specificity and they amanged to identify 17 out of the 26 positive and 48 out of the 54 true negative samples. In the next verification test using patients' face masks and clothes, 43 out of the 50 positive samples were correctly identified by the dogs. Moreover, out of the 70 negative samples, 65 samples were correctly found to be negative. The sensitivity of this test was as high as 86% and its specificity was 92.9%. In addition, the positive and negative predictive values were 89.6 and 90.3%, respectively., Conclusion: Dogs are capable of being trained to identify COVID-19 cases by sniffing their odour, so they can be used as a reliable tool in limited screening.

Background: The newly emerged coronavirus disease 2019 (COVID-19) seems to involve different organs, including the cardiovascular system. We systematically reviewed COVID-19 cardiac complications and calculated their pooled incidences. Secondarily, we compared the cardiac troponin I (cTnI) level between the surviving and expired patients., Methods: A systematic search was conducted for manuscripts published from December 1, 2019 to April 16, 2020. Cardiovascular complications, along with the levels of cTnI, creatine kinase (CK), and creatine kinase MB (CK-MB) in hospitalized PCR-confirmed COVID-19 patients were extracted. The pooled incidences of the extracted data were calculated, and the unadjusted cTnI level was compared between the surviving and expired patients., Results: Out of 1094 obtained records, 22 studies on a total of 4,157 patients were included. The pooled incidence rate of arrhythmia was 10.11%. Furthermore, myocardial injury had a pooled incidence of 17.85%, and finally, the pooled incidence for heart failure was 22.34%. The pooled incidence rates of cTnI, CK-MB, and CK elevations were also reported at 15.16%, 10.92%, and 12.99%, respectively. Moreover, the pooled level of unadjusted cTnI was significantly higher in expired cases compared with the surviving (mean difference = 31.818, 95% CI = 17.923-45.713, P value <0.001)., Conclusion: COVID-19 can affect different parts of the heart; however, the myocardium is more involved., (© 2021 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.)