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      COVID-19 Vaccine Hesitancy among Parents of Children with Chronic Liver Diseases

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          Abstract

          Children with chronic medical conditions are more susceptible to developing a serious negative outcome from corona virus disease 2019 (COVID-19) than healthy children. This study investigated the extent of COVID-19 vaccine hesitancy (VH) and its predictors in parents of children with chronic liver disease (CLD) in Egypt. Methods: A cross-sectional study was conducted at the National Liver Institute from September to October 2022, using a random sampling method. Data were collected using the validated Arabic version of parents’ attitudes about childhood vaccines (PACV) scale. Structural equation modeling (SEM) and discriminant analysis were used to identify direct and indirect determinants of VH. Results: Of the 173 participating parents, 81.5% hesitated to vaccinate their child. Relevant characteristics for hesitancy included being the mother of the child (88.2%), younger than 40 years (92.9%), illiterate (92%), unemployed (88.8%), without health insurance (87.8%), unvaccinated against COVID-19 (97.2%), refused to complete vaccinations (85.7%), and not having chronic disease (85.7%) (p < 0.05). Previous COVID-19 infection of children motivated vaccination (p < 0.0001). Median total PACV, attitude, and trust scores were significantly higher in the hesitant group than the vaccinated group (p = 0.023). SEM suggests that child age and family size have a direct effect, while education level, and income have indirect effects on parents’ hesitancy. The model showed acceptable goodness of fit (GFI = 0.994, CFI = 1, RMSEA < 0.0001). A 92.9% corrected classification of the discriminator VH variables was determined using the discriminant analysis model (safety and efficacy, attitude and trust, child age, and family size). Conclusions: Many socioeconomic factors significantly affect parents’ attitudes toward their child’s vaccination. Thus, increasing parents’ awareness of the importance of childhood vaccination, especially among this risky group, may enhance their decision-making ability regarding vaccinating their children.

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          Outcomes following SARS-CoV-2 infection in patients with chronic liver disease: an international registry study

          Background Chronic liver disease (CLD) and cirrhosis are associated with immune dysregulation leading to concerns that these patients may be at risk of adverse outcomes following SARS-CoV-2 infection. However, the impact of COVID-19 among patients with pre-existing liver disease remains ill-defined. Methods Data for CLD patients with SARS-CoV-2 were collected by two international registries. Comparisons were made with non-CLD patients with SARS-CoV-2 from a UK hospital network. Results Between 25th March and 8th July 2020, 745 CLD patients were reported from 29 countries including 386 with cirrhosis and 359 without. Mortality was 32% in patients with cirrhosis compared with 8% in those without (p<0.001). Mortality in cirrhosis patients increased according to Child-Turcotte-Pugh class (CTP-A (19%), CTP-B (35%), CTP-C (51%)) and the main cause of death was respiratory failure (71%). After adjusting for baseline characteristics, factors associated with death in the total CLD cohort were age (OR 1.02; 1.01–1.04), CTP-A (OR 1.90; 1.03–3.52), CTP-B (OR 4.14; 2.4–7.65), CTP-C cirrhosis (OR 9.32; 4.80–18.08) and alcohol related liver disease (ALD) (OR 1.79; 1.03–3.13). When comparing CLD versus non-CLD (n=620) in propensity-score-matched analysis there were significant increases in mortality with CTP-B +20.0% (8.8%–31.3%) and CTP-C cirrhosis +38.1% (27.1%–49.2%). Acute hepatic decompensation occurred in 46% of patients with cirrhosis, of which 21% had no respiratory symptoms. 50% of those with hepatic decompensation had acute-on-chronic liver failure. Conclusions This is the largest reported cohort of CLD and cirrhosis patients with SARS-CoV-2 infection to date. We demonstrate that baseline liver disease stage and ALD are independent risk factor for death from COVID-19. These data have important implications for the risk stratification of patients with CLD across the globe during the COVID-19 pandemic.
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            Underlying Medical Conditions Associated With Severe COVID-19 Illness Among Children

            Question Among children with a COVID-19 diagnosis, what conditions are common, and which are associated with severe COVID-19 illness? Findings In this cross-sectional study of 43 465 patients aged 18 years or younger with COVID-19, more than one-quarter had 1 or more underlying condition; asthma, obesity, neurodevelopmental disorders, and certain mental health conditions were most common. Certain conditions as well as medical complexity were associated with a higher risk of severe COVID-19 illness. Meaning These findings expand the knowledge available regarding children with COVID-19 and could inform pediatric clinical practice and public health priorities, such as prevention and mitigation of COVID-19. This cross-sectional study examines the risk of severe COVID-19 illness among children associated with underlying medical conditions and medical complexity. Importance Information on underlying conditions and severe COVID-19 illness among children is limited. Objective To examine the risk of severe COVID-19 illness among children associated with underlying medical conditions and medical complexity. Design, Setting, and Participants This cross-sectional study included patients aged 18 years and younger with International Statistical Classification of Diseases, Tenth Revision, Clinical Modification code U07.1 (COVID-19) or B97.29 (other coronavirus) during an emergency department or inpatient encounter from March 2020 through January 2021. Data were collected from the Premier Healthcare Database Special COVID-19 Release, which included data from more than 800 US hospitals. Multivariable generalized linear models, controlling for patient and hospital characteristics, were used to estimate adjusted risk of severe COVID-19 illness associated with underlying medical conditions and medical complexity. Exposures Underlying medical conditions and medical complexity (ie, presence of complex or noncomplex chronic disease). Main Outcomes and Measures Hospitalization and severe illness when hospitalized (ie, combined outcome of intensive care unit admission, invasive mechanical ventilation, or death). Results Among 43 465 patients with COVID-19 aged 18 years or younger, the median (interquartile range) age was 12 (4-16) years, 22 943 (52.8%) were female patients, and 12 491 (28.7%) had underlying medical conditions. The most common diagnosed conditions were asthma (4416 [10.2%]), neurodevelopmental disorders (1690 [3.9%]), anxiety and fear-related disorders (1374 [3.2%]), depressive disorders (1209 [2.8%]), and obesity (1071 [2.5%]). The strongest risk factors for hospitalization were type 1 diabetes (adjusted risk ratio [aRR], 4.60; 95% CI, 3.91-5.42) and obesity (aRR, 3.07; 95% CI, 2.66-3.54), and the strongest risk factors for severe COVID-19 illness were type 1 diabetes (aRR, 2.38; 95% CI, 2.06-2.76) and cardiac and circulatory congenital anomalies (aRR, 1.72; 95% CI, 1.48-1.99). Prematurity was a risk factor for severe COVID-19 illness among children younger than 2 years (aRR, 1.83; 95% CI, 1.47-2.29). Chronic and complex chronic disease were risk factors for hospitalization, with aRRs of 2.91 (95% CI, 2.63-3.23) and 7.86 (95% CI, 6.91-8.95), respectively, as well as for severe COVID-19 illness, with aRRs of 1.95 (95% CI, 1.69-2.26) and 2.86 (95% CI, 2.47-3.32), respectively. Conclusions and Relevance This cross-sectional study found a higher risk of severe COVID-19 illness among children with medical complexity and certain underlying conditions, such as type 1 diabetes, cardiac and circulatory congenital anomalies, and obesity. Health care practitioners could consider the potential need for close observation and cautious clinical management of children with these conditions and COVID-19.
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              Validity and reliability of a survey to identify vaccine-hesitant parents.

              To assess the construct validity and reliability of the Parent Attitudes about Childhood Vaccines survey. Cross-sectional survey of parents of 19-35 month old children in a closed model HMO. We used factor analysis to confirm survey sub-domains and Cronbach's α to determine the internal consistency reliability of sub-domain scales. Construct validity was assessed by linking parental responses to their child's immunization record. Our response rate was 46% (N=230). Factor analysis identified 3 factors that explained 70% of the total variance for the 18 survey items. We deleted 3 items that failed to load highly (>.4) on an identified factor, correlated poorly with other items, or had a hesitant response that was not associated with increased under-immunization. Cronbach's α coefficients for the 3 sub-domain scales created by grouping the remaining 15 items were .74, .84, and .74, respectively. Children of parents with survey scores of 50-79 had 14% more days under-immunized from birth to 19 months (95% CI: 8.0, 20.5) than those with parents who scored <50. Scores of ≥ 80 were associated with 51% more days under-immunized (95% CI: 38.2, 63.4). The revised survey is a valid and reliable instrument to identify vaccine-hesitant parents. Copyright © 2011 Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
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                Journal
                VBSABP
                Vaccines
                Vaccines
                MDPI AG
                2076-393X
                December 2022
                December 07 2022
                : 10
                : 12
                : 2094
                Article
                10.3390/vaccines10122094
                36560504
                baef4f97-a69b-456e-b5e5-44e41e384add
                © 2022

                https://creativecommons.org/licenses/by/4.0/

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