COVID-19 (coronavirus disease 2019) vaccines induce immunity through different mechanisms. The aim of this study is to compare the titers of specific antibodies in subjects vaccinated with either the Pfizer-BioNTech COVID-19 vaccine or the Sinopharm vaccine. This prospective observational cohort included Jordanian adults vaccinated with two doses, 21 days apart, of either of the two aforementioned vaccines. Titers were collected 6 weeks after the administration of the second dose. Overall, 288 participants were included, of which 141 were administered the Pfizer-BioNTech vaccine, while 147 were administered the Sinopharm vaccine. Remarkably, 140 (99.3%) of the Pfizer-BioNTech vaccine recipients had positive IgG titers, while 126 (85.7%) of Sinopharm recipients had positive IgG (p < 0.001). The mean titer for IgG among Pfizer-BioNTech recipients was 515.5 ± 1143.5 BAU/mL, compared to 170.0 ± 230.0 BAU/mL among Sinopharm subjects (p < 0.001). Multivariable regression analysis showed that the Pfizer-BioNTech vaccine positively correlated with positive IgG titers (OR: 25.25; 95% CI: 3.25–196.15; p = 0.002), compared with a negative effect of cardiovascular diseases (OR: 0.33; 95% CI: 0.11–0.99; p = 0.48) on IgG titers. In conclusion, fully vaccinated recipients of the Pfizer-BioNTech vaccine had superior quantitative efficiency compared to Sinopharm recipients. A booster dose is supported for Sinopharm recipients, or those with chronic immunosuppressive diseases.
Vaccines are considered the best approach for countering the COVID-19 pandemic. In this study, we compared early side effects associated with vaccination with the Sinopharm and Pfizer–BioNTech COVID-19 vaccines. Participants of this observational cohort were interviewed based on semi-structured telephone interviews, with enquiries about side effects that developed after vaccination with each dose of these vaccines. Overall, 1004 participants were enrolled, of which 51.1% received Sinopharm vaccine and 48.9% received the Pfizer–BioNTech vaccine. After the first dose, 46.3% of participants had an adverse reaction, with injection site pain most commonly being reported (33.2%). Participants who received the Pfizer–BioNTech vaccine had significantly higher frequencies of all types of adverse reactions (p < 0.01), with no significant differences in the duration of adverse reactions between the two vaccines. Regarding the second dose, 48.6% of participants had adverse reactions, with injection site pain being most commonly reported (29%). Those who received the Pfizer vaccine reported higher frequencies of all adverse reactions (p < 0.01). However, a longer duration of adverse reactions was seen among Sinopharm vaccine recipients as compared to Pfizer–BioNTech vaccine recipients (p = 0.01). In conclusion, early adverse effects are reported following all types of vaccines but these are more likely to be encountered following the administration of new-generation vaccines. These side effects are mostly mild and treatable.
7 September 2020 in Paediatrics and International Child Health
Data on COVID-19 in children are limited. This study aimed to identify the clinical characteristics, laboratory results and longitudinal RT-PCR- testing pattern in children infected with theSARS-Co...
Introduction: Pericardial cysts are considered as a rare congenital abnormality, mostly found incidentally. The estimated incidence of pericardial cyst is 1:100,000 and represent approximately 6% of all mediastinal masses. Patients can present with symptoms similar to acute chest pain or right -sided heart failure or can be asympto- matic. Presentation: A 46 -year -old female who is known to have hypertension and hypothyroidism presented to the breast clinic with left breast mass that was proved by core needle biopsy as proliferative breast lesion. During the preoperative assessment, the patient reported progressive shortness of breath and cough over the last two years and bilateral lower limb edema. Her preoperative chest X-ray showed a well-de fined oval like opaci fication at the right cardiophrenic angle that was proved by chest computed tomography imaging as a cystic mass od most likely a pericardial origin. A huge pericardial cyst originating from the right diaphragmatic surface was excised through a mini-sternotomy incision with smooth postoperative recovery. The patient -reported signi ficant im- provement in her symptoms and her lifestyle during her follow up. Discussion: Pericardial cysts represent 6% -7% of all mediastinal masses with an estimated incidence of 1:100,000. About 70% of pericardial cysts originate at the right cardiophrenic angle and less frequently at the left cardiophrenic angle, they are usually suspected when the chest x-ray shows an enlarged contour of the right heart border. Mediastinal cysts have many di fferential diagnoses and the preoperative decision might be chal- lenging in many cases. Pericardial cysts appear as oval, thin -walled homogeneous masses on cardiac computed tomography. The choice between surgical intervention and conservative follow up is related mainly to the size and symptoms that are induced by the cyst. Conclusion: As pericardial cysts are rarely diagnosed pathology, a high index of suspicion is essential for diag- nosis. Surgical resection is indicated when they are huge, enlarging in size or symptomatic. Morbidity and mortality risks following pericardial cyst excision are very low.
Success in integrating artificial intelligence (AI) in anesthesia depends on collaboration with anesthesiologists, respecting their expertise, and understanding their opinions. The aim of this study was to illustrate the confidence in AI integration in perioperative anesthetic care among Jordanian anesthesiologists and anesthesia residents working at tertiary teaching hospitals. This cross-sectional study was conducted via self-administered online questionnaire and includes 118 responses from 44 anesthesiologists and 74 anesthesia residents. We used a five-point Likert scale to investigate the confidence in AI’s role in different aspects of the perioperative period. A significant difference was found between anesthesiologists and anesthesia residents in confidence in the role of AI in operating room logistics and management, with an average score of 3.6 ± 1.3 among residents compared to 2.9 ± 1.4 among specialists (p = 0.012). The role of AI in event prediction under anesthesia scored 3.5 ± 1.4 among residents compared to 2.9 ± 1.4 among specialists (p = 0.032) and the role of AI in decision-making in anesthetic complications 3.3 ± 1.4 among residents and 2.8 ± 1.4 among specialists (p = 0.034). Also, 65 (55.1%) were concerned that the integration of AI will lead to less human–human interaction, while 81 (68.6%) believed that AI-based technology will lead to more adherence to guidelines. In conclusion, AI has the potential to be a revolutionary tool in anesthesia, and hesitancy towards increased dependency on this technology is decreasing with newer generations of practitioners.
Background: On March 11th, 2020, the World Health Organization (WHO) declared coronavirus disease 2019 (COVID-19) as a global pandemic. Healthcare systems in low- and middle-income countries may face serious limitations during a pandemic, for which understanding the predictors of prolonged hospital stay are crucial in decreasing the mortality rate. The aim of this study was to investigate the predictors of increased length of hospitalization among COVID-19 patients. Methods: In this prospective study, we investigated the effect of presenting symptoms and laboratory investigations on the duration of hospitalization of 131 COVID-19 patients at a tertiary hospital in Jordan from March 17th to April 9th, 2020. Results: Patients median age was 24 years [interquartile range (IQR): 8-39], of which 67 (51.15%) were males and 64 (48.85%) were females. Smokers had shorter in-hospital stay (OR: -3.52; 95% CI: -6.73 to -0.32; P=0.03). Taste loss (OR: 5.1; 95% CI: 1.95 to 8.25; P Conclusions: Our study found that the most common presenting symptoms of COVID-19 are cough, malaise, and headache. Smoking, presenting with malaise or elevated WBCs were associated with shorter hospital stay, while loss of taste and chills or rigors at presentation were associated with a longer in-hospital stay.