Risk of glomerular diseases, proteinuria and hematuria following mRNA (BNT162b2) and inactivated (CoronaVac) SARS-CoV-2 vaccines.

BACKGROUND: With accruing case reports on de novo or relapsing glomerular diseases (GD) following different severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines, we evaluated the risk of GD following BNT162b2 and CoronaVac vaccines. METHODS: A modified self-controlled case series analysis was conducted using anonymized, territory-wide SARS-CoV-2 vaccination records in Hong Kong. All Hong Kong residents aged 18 years or above with outcomes of interest were included. Outcomes of interest were GD, proteinuria or hematuria within 42 days following each dose of SARS-CoV-2 vaccines. Incidence per 100 000 doses of SARS-CoV-2 vaccines administered was calculated, and incidence rate ratios (IRRs) were estimated using conditional Poisson regression with seasonality adjustment. RESULTS: Between 23 February 2021 and 31 March 2022, 4062 patients had an incident diagnosis of GD, proteinuria or hematuria, with 2873 of them being vaccinated during the observation period. The incidences of the composite events 1-41 days after vaccination were 3.7 (95% CI 3.1-4.4) per 100 000 doses of BNT162b2 administered, and 6.5 (95% CI 5.7-7.5) per 100 000 doses CoronaVac administered. There was no significant increase in the risks of composite events following the first (BNT162b2: IRR = 0.76, 95% CI 0.56-1.03; CoronaVac: IRR = 0.92, 95% CI 0.72-1.19), second (BNT162b2: IRR = 0.92, 95% CI 0.72-1.17; CoronaVac: IRR = 0.88. 95% CI 0.68-1.14) or third (BNT162b2: IRR = 0.39. 95% CI 0.15-1.03; CoronaVac: IRR = 1.18. 95% CI 0.53-2.63) dose of SARS-CoV-2 vaccines. CONCLUSIONS: There was no evidence of increased risks of de novo or relapsing GD with either BNT162b2 or CoronaVac vaccines.

Impact of sleep duration, physical activity, and screen time on health-related quality of life in children and adolescents.

BACKGROUND: Existing studies on health-related quality of life (HRQoL) mainly covered single growth stages of childhood or adolescence and did not report on the trends in the relationships of HRQoL with sleep duration, physical activity, and screen time. This study aimed to establish the population norm of HRQoL in children and adolescents aged 6-17 years and examine the associations of screen time, sleep duration, and physical activity with HRQoL in this population. METHODS: We conducted a large-scale cross-sectional population-based survey study of Hong Kong children and adolescents aged 6 to 17 years. A representative sample of students were interviewed to assess their HRQoL using PedsQL and EQ-5D-Y-5L. Multivariable homoscedastic Tobit regression with linear form or restricted cubic spline of predictors was used to analyze the associations between screen time, sleep duration, and HRQoL. Multiple imputation by chained equations was performed to deal with missing data. RESULTS: A total of 7555 respondents (mean age 11.5, SD 3.2; 55.1% female) were sampled. Their EQ VAS scores, PedsQL physical summary scores, and psychosocial summary scores were positively correlated with sleep duration and moderate/vigorous activity but was negatively correlated with screen time. CONCLUSIONS: Children and adolescents who had longer exposure to screen, shorter sleep duration, and lower physical activity levels appeared to have poorer HRQoL as assessed by PedsQL and EQ-5D-Y-5L. Advice and guidance on screen time allocation for children and adolescents should be provided at the levels of school, community, and family.

The validity, reliability, sensitivity and responsiveness of a modified Patient Enablement Instrument (PEI-2) as a tool for serial measurements of health enablement.

BACKGROUND: Patient enablement is a core tenet of patient-centred and holistic primary care. The Patient Enablement Instrument (PEI) is a transitional measure limited in its ability to measure changes over time. A modified version, PEI-2, has been developed to measure enablement at a given time-point without comparison to a recalled baseline. OBJECTIVE: To assess the validity, reliability, sensitivity and responsiveness of PEI-2. METHODS: PEI-2 was modified from the Chinese PEI to assess enablement over 4 weeks in a prospective cohort study nested within a community support programme [Trekkers Family Enhancement Scheme (TFES)] in Hong Kong. Construct validity was assessed by factor analysis and convergent validity by Spearman's correlations with health-related quality of life and depressive symptoms. Internal reliability was assessed using Cronbach's alpha. Test-retest reliability was assessed by intraclass correlation (ICC), responsiveness by 12-24-month change in PEI-2 score and sensitivity by differences in change of PEI-2 score between TFES participants and a control group. RESULTS: PEI-2 demonstrated construct validity with all items loading on one factor (factor loadings >0.7). Convergent validity was confirmed by significant correlations with 12-item Short Form Questionnaire, version 2 (r = 0.1089-0.1919) and Patient Health Questionnaire-9 (r = -0.2030). Internal reliability was high (Cronbach's alpha = 0.9095) and test-retest reliability moderate (ICC = 0.520, P = 0.506). Significant improvements in PEI-2 scores among the TFES group suggested good responsiveness (P < 0.001). The difference in change of PEI-2 scores between TFES and control was significant (P = 0.008), indicating good sensitivity. CONCLUSIONS: This study supports the validity, reliability, sensitivity and responsiveness of PEI-2 in measuring changes in enablement, making it a promising tool for evaluating enablement in cohort and intervention studies.

Impact of National Containment Measures on Decelerating the Increase in Daily New Cases of COVID-19 in 54 Countries and 4 Epicenters of the Pandemic: Comparative Observational Study.

BACKGROUND: Coronavirus disease (COVID-19) is a worldwide epidemic, and various countries have responded with different containment measures to reduce disease transmission, including stay-at-home orders, curfews, and lockdowns. Comparative studies have not yet been conducted to investigate the impact of these containment measures; these studies are needed to facilitate public health policy-making across countries. OBJECTIVE: The aim of this study was to describe and evaluate the impact of national containment measures and policies (stay-at-home orders, curfews, and lockdowns) on decelerating the increase in daily new cases of COVID-19 in 54 countries and 4 epicenters of the pandemic in different jurisdictions worldwide. METHODS: We reviewed the effective dates of the national containment measures (stay-at-home order, curfew, or lockdown) of 54 countries and 4 epicenters of the COVID-19 pandemic (Wuhan, New York State, Lombardy, and Madrid), and we searched cumulative numbers of confirmed COVID-19 cases and daily new cases provided by health authorities. Data were drawn from an open, crowdsourced, daily-updated COVID-19 data set provided by Our World in Data. We examined the trends in the percent increase in daily new cases from 7 days before to 30 days after the dates on which containment measures went into effect by continent, World Bank income classification, type of containment measures, effective date of containment measures, and number of confirmed cases on the effective date of the containment measures. RESULTS: We included 122,366 patients with confirmed COVID-19 infection from 54 countries and 24,071 patients from 4 epicenters on the effective dates on which stay-at-home orders, curfews, or lockdowns were implemented between January 23 and April 11, 2020. Stay-at-home, curfew, and lockdown measures commonly commenced in countries with approximately 30%, 20%, or 10% increases in daily new cases. All three measures were found to lower the percent increase in daily new cases to <5 within one month. Among the countries studied, 20% had an average percent increase in daily new cases of 30-49 over the seven days prior to the commencement of containment measures; the percent increase in daily new cases in these countries was curbed to 10 and 5 a maximum of 15 days and 23 days after the implementation of containment measures, respectively. CONCLUSIONS: Different national containment measures were associated with a decrease in daily new cases of confirmed COVID-19 infection. Stay-at-home orders, curfews, and lockdowns curbed the percent increase in daily new cases to <5 within a month. Resurgence in cases within one month was observed in some South American countries.