Correlation between COVID-19 severity, body mass index and radiological hepatic morphology / Correlación entre la gravedad de COVID-19, el índice de masa corporal y la morfología hepática radiológica

SUMMARY: Obesity and fatty liver steatosis are already considered metabolic risk factors which may aggravate the severity of COVID-19. This study aims to investigate the correlation between COVID-19 severity, obesity, and liver steatosis and fibrosis. 230 consecutive patients with laboratory-confirmed COVID-19 aged between 15 and 84? years, admitted to a hospital devoted to COVID-19 patients, were enrolled in the study. COVID-19 severity was classified as severe versus non-severe based on admission to ICU. Obesity was assessed by Body Mass Index (BMI). CT-scan was used to check for the liver steatosis. Fibrosis-4 score was calculated. The study was conducted in March-May 2020. Obesity strongly and positively correlated with severe COVID-19 illness r: 0.760 (P<0.001). Hepatic steatosis had rather less of a correlation with COVID-19 severity r: 0.365 (P<0.001). Multivariable-adjusted association between hepatic steatosis or obesity, or both (as exposure) and COVID-19 severity (as the outcome) revealed increased risk of severe COVID-19 illness with obesity (Adjusted model I OR: 465.3, 95 % CI: 21.9-9873.3, P<0.001), with hepatic steatosis (Adjusted model I OR: 5.1, 95 % CI: 1.2-21.0, P<0.025), and with hepatic steatosis among obese patients (Adjusted model I OR: 132, 95 % CI: 10.3-1691.8, P<0.001). Obesity remained the most noticeable factor that strongly correlated with COVID-19 severity, more than liver steatosis. However, the risk to COVID-19 severity was greater in those with both factors: obesity and liver steatosis.

RESUMEN: La obesidad y la esteatosis del hígado graso ya se consideran factores de riesgo metabólico que pueden empeorar la gravedad de la COVID-19. Este estudio tiene como objetivo investigar la correlación entre la gravedad de COVID- 19, la obesidad y la esteatosis y fibrosis hepática. El estudio se realizó en 230 pacientes consecutivos entre 15 y 84 años con COVID-19 confirmado por laboratorio, ingresados en un hospital dedicado a pacientes con COVID-19. La gravedad de COVID-19 se clasificó como grave, versus no grave según el ingreso a la UCI. La obesidad se evaluó mediante el índice de masa corporal (IMC). Se utilizó una tomografía computarizada para verificar la esteatosis hepática. Se calculó la puntuación de Fibrosis-4. El estudio se realizó entre marzo-mayo de 2020. La obesidad se correlacionó fuerte y positivamente con la enfermedad grave de COVID-19 r: 0,760 (P <0,001). La esteatosis hepática tuvo una correlación bastante menor con la gravedad de COVID-19 r: 0.365 (P <0.001). La asociación ajustada multivariable entre la esteatosis hepática u obesidad, o ambas (como exposición) y la gravedad de COVID-19 (como resul- tado) reveló un mayor riesgo de enfermedad grave por COVID- 19 con obesidad (OR del modelo ajustado I: 465,3, IC del 95%: 21,9 -9873,3, P <0,001), con esteatosis hepática (OR del modelo I ajustado: 5,1, IC del 95 %: 1,2-21,0, P <0,025) y con esteatosis hepática entre los pacientes obesos (OR del modelo I ajustado: 132, IC del 95 % : 10,3-1691,8, P <0,001). La obesidad siguió siendo el factor más notable que se correlacionó significativamente con la gravedad de COVID-19, más que la esteatosis hepática. Sin embargo, el riesgo de gravedad de COVID-19 fue mayor en aquellos con ambos factores: la obesidad y esteatosis hepática.

SARS-CoV-2 Antinucleocapsid Antibody Response of mRNA and Inactivated Virus Vaccines Compared to Unvaccinated Individuals.

Comparative studies of SARS-CoV-2 antinucleocapsid (anti-N) antibody response in the context of inactivated virus vaccines versus natural infection are limited. This study aims to determine and compare the anti-N antibody levels in people vaccinated with Sinopharm's (Wuhan, China) inactivated virus vaccine in comparison with naturally infected unvaccinated and Pfizer's spike (S) mRNA-based vaccinated subjects. Two hundred ninety-nine Jordanian adults participated in the study including unvaccinated COVID-19-infected patients (n = 99), Pfizer-vaccinated (n = 100), and Sinopharm-vaccinated recipients (n = 100). Serum samples were assayed for anti-N IgG, anti-N IgM, and anti-S IgG. Sera of 64.6% of naturally infected unvaccinated participants had positive anti-S IgG (median = 36.35 U/mL; range: 0.04-532.5 U/mL) compared to 88% of Pfizer-vaccinated (Manhattan, NY, USA) (median = 26.52 U/mL; range: 0.39-1265 U/mL) and 58% of Sinopharm-vaccinated subjects (median = 14.35 U/mL; range: 0.39-870.17 U/mL). Samples of 60.6% of naturally infected unvaccinated people had positive anti-N IgG (median = 15.03 U/mL; range: 0-265.1 U/mL) compared to 25% of Pfizer-vaccinated (median = 0.02 U/mL; range: 0-68 U/mL) and 48% of Sinopharm-vaccinated subjects (median = 0.8 U/mL; range: 0-146.3 U/mL). Anti-N titers among the three groups were significantly different (p < 0.05). Anti-N IgM antibodies appeared in 23.2% of the naturally infected unvaccinated group (median = 0.29 U/mL; range: 0-15 U/mL) compared to only 9.0% of Pfizer-vaccinated (median = 018 U/mL; range: 0-33 U/mL) and 7.0% of Sinopharm-vaccinated subjects (median = 0.2 U/mL; range: 0-12.02 U/mL). A significant negative correlation was found between anti-S and age for both vaccines and between anti-S and the presence of chronic disease in Sinopharm-vaccinated subjects. A significant positive correlation between anti-N and anti-S titers was found among the three groups. This study shows that the inactivated virus vaccine, Sinopharm, induces an anti-N response that can boost that of natural infection or vice versa. On the other hand, the Pfizer mRNA-based vaccine induces a significantly stronger anti-S Ab response.

Pfizer-BioNTech and Sinopharm: A Comparative Study on Post-Vaccination Antibody Titers.

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.

Qualitative Assessment of Early Adverse Effects of Pfizer-BioNTech and Sinopharm COVID-19 Vaccines by Telephone Interviews.

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.

Clinical Features of COVID-19 Patients in Jordan: A Study of 508 Patients.

BACKGROUND: The symptoms of COVID-19 have a wide range of severity ranging from no symptoms at all to mild symptoms, such as fever, cough, sore throat, general weakness. Moreover, in some situations, patients may develop severe complications as pneumonia, and sepsis, leading to death. This study aims to investigate the characteristic features of COVID-19 patients based on their medical condition prior to COVID-19 diagnosis. METHODS: A retrospective cohort study took place between the 1st of April 2020 and the 31st of June 2020 in Prince Hamzah Hospital, Jordan. Patients were diagnosed by the Real-Time Reverse Transcriptase (RT)-PCR Diagnostic Panel, either through screening or for those who developed symptoms. During this period, patients who tested positive for COVID 19 were admitted to the hospital regardless of their symptoms according to the local government health policies. A total of 508 Patients were involved and divided into two groups based on the presence or absence of chronic illnesses prior to COVID-19 diagnosis. RESULTS: A total of 371 patients were medically free (220 males and 151 females). Among them, 153 patients were symptomatic (41.2%), with an average hospitalization of 18 days. Generalized malaise, dry cough, and fever were the most common reported symptoms (51%, 45.8%, and 41.8%, respectively). On the other hand, the total number of COVID-19 patients with predefined comorbidities was 137 (93 males and 44 females). Among them, 86 patients (62.8%) were symptomatic, with an average duration of admission of 19.3 days. Similar to medically free patients, dry cough, generalized malaise, and fever were the most commonly reported symptoms (50%, 43%, and 38.4%, respectively). There was a statistically significant correlation between the presence of chronic illnesses and the development of symptoms among COVID-19 patients (P = 0.0001). CONCLUSION: Dry cough, generalized malaise, and fever were the most commonly reported symptoms among our patients regardless of their medical condition. The average duration of hospitalization in medically free patients was less than patients with comorbidities, and it was less among asymptomatic compared to symptomatic patients. More than half of our COVID-19 patients were male and asymptomatic. A significant correlation between patients' medical condition and the possibility of developing symptoms in response to COVID-19 was identified.