Epidemiology, Symptomatology, and Risk Factors for Long COVID Symptoms: Population-Based, Multicenter Study.

BACKGROUND: Long COVID induces a substantial global burden of disease. The pathogenesis, complications, and epidemiological and clinical characteristics of patients with COVID-19 in the acute phase have been evaluated, while few studies have characterized the epidemiology, symptomatology, and risk factors of long COVID symptoms. Its characteristics among patients with COVID-19 in the general population remain unaddressed. OBJECTIVE: We examined the prevalence of long COVID symptoms, its symptom patterns, and its risk factors in 4 major Chinese cities in order to fill the knowledge gap. METHODS: We performed a population-based, multicenter survey using a representative sampling strategy via the Qualtrics platform in Beijing, Shanghai, Guangzhou, and Hong Kong in June 2022. We included 2712 community-dwelling patients with COVID-19 and measured the prevalence of long COVID symptoms defined by the World Health Organization (WHO), and their risk factors. The primary outcomes were the symptoms of long COVID, with various levels of impact. A descriptive analysis of the prevalence and distribution of long COVID symptoms according to disease severity was conducted. A sensitivity analysis of increasing the number of long COVID symptoms was also conducted. Univariate and multivariate regression analyses were performed to examine the risk factors of severe long COVID symptoms, including age, gender, marital status, current occupation, educational level, living status, smoking habits, monthly household income, self-perceived health status, the presence of chronic diseases, the use of chronic medication, COVID-19 vaccination status, and the severity of COVID-19. RESULTS: The response rate was 63.6% (n=2712). The prevalence of long COVID, moderate or severe long COVID, and severe long COVID was 90.4% (n=2452), 62.4% (n=1692), and 31.0% (n=841), respectively. Fatigue (n=914, 33.7%), cough (n=865, 31.9%), sore throat (n=841, 31.0%), difficulty in concentrating (n=828, 30.5%), feeling of anxiety (n=817, 30.2%), myalgia (n=811, 29.9%), and arthralgia (n=811, 29.9%) were the most common severe long COVID symptoms. From multivariate regression analysis, female gender (adjusted odds ratio [aOR]=1.49, 95% CI 1.13-1.95); engagement in transportation, logistics, or the discipline workforce (aOR=2.52, 95% CI 1.58-4.03); living with domestic workers (aOR=2.37, 95% CI 1.39-4.03); smoking (aOR=1.55, 95% CI 1.17-2.05); poor or very poor self-perceived health status (aOR=15.4, 95% CI 7.88-30.00); ≥3 chronic diseases (aOR=2.71, 95% CI 1.54-4.79); chronic medication use (aOR=4.38, 95% CI 1.66-11.53); and critical severity of COVID-19 (aOR=1.52, 95% CI 1.07-2.15) were associated with severe long COVID. Prior vaccination with ≥2 doses of COVID-19 vaccines was a protective factor (aOR=0.35-0.22, 95% CI 0.08-0.90). CONCLUSIONS: We examined the prevalence of long COVID symptoms in 4 Chinese cities according to the severity of COVID-19. We also evaluated the pattern of long COVID symptoms and their risk factors. These findings may inform early identification of patients with COVID-19 at risk of long COVID and planning of rehabilitative services.

A multicenter study of ocular inflammation after COVID-19 vaccination.

PURPOSE: To report the characteristics of a case series of ocular inflammatory events following COVID-19 vaccination in Japan. STUDY DESIGN: Retrospective multicenter study METHODS: In this retrospective multicenter survey, a questionnaire was sent to 16 Japanese hospitals that had uveitis specialty clinics. Information on patients who developed ocular inflammatory events within 14 days of COVID-19 vaccination between February 2021 and December 2021 was collected. RESULTS: Thirty-seven patients were diagnosed with ocular inflammatory events following COVID-19 vaccination. The mean age was 53.4 ± 16.4 years (range, 26-86 years), and the mean time to onset after vaccination was 6.3 ± 4.2 days (range, 1-14 days). Vogt-Koyanagi-Harada disease (VKH) was the most common event (n = 17 patients, 46%), followed by anterior uveitis (n = 6), infectious uveitis (n = 3), acute zonal occult outer retinopathy (AZOOR) (n = 2), sarcoidosis-associated uveitis (n = 1), acute posterior multifocal placoid pigment epitheliopathy (APMPPE) (n = 1), optic neuritis (n = 1), multiple evanescent white dot syndrome (MEWDS) (n = 1), Posner-Schlossman syndrome (n = 1), and unclassified uveitis (n = 4). Twenty-eight cases occurred after BNT162b2 vaccination (Pfizer-BioNTech) and 8 after mRNA-1273 vaccination (Moderna), whilst 1 patient had no information about vaccine type. CONCLUSIONS: COVID-19 vaccination can be related to various types of ocular inflammatory events. When we encounter patients with ocular inflammatory disease, we should consider that it may be an adverse effect of COVID-19 vaccination.

Current situation and trends of online academic activities for oncologists during the COVID-19 pandemic: a multicenter survey.

BACKGROUND: The present study aimed to investigate the current situation and future trends of online academic activities for oncologists during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: From April 22 to May 5, 2020, a multicenter survey was conducted using an online questionnaire platform. To compare categorical variables, χ2-test, the kappa consistency analysis, and Wilcoxon rank sum test were applied. For all statistical hypotheses, P<0.05 was considered significant. RESULTS: In the present study, 2,120 oncologists participated in the survey. Of these, 2,035 respondents participated in online academic activities. During the pandemic, online academic activities significantly increased [oncologists who participated in online academic activities ≥60%: 64.58% (during the pandemic) vs. 10.90% (before the pandemic), Cohen's kappa coefficient =0.0499, P<0.001]. The findings indicated that 90.6% of respondents considered that the online academic activities would become a future trend. The main reason for the increase in online academic activities was due to in-person academic conferences and diagnoses/treatment being affected by the pandemic. Both speakers/chairs and audiences agreed that online academic activities resulted in reduced stress (61.15% vs. 67.26%, respectively; χ2=7.009, P=0.03). In the present study, 62.21% of audiences considered that the recording function of online activities was very important (score 5), while only 53.86% of the speakers had the same opinion (Z=-3.5340, P<0.001). Compared with provincial capital cities and other cities, the participants from first-tier cities thought that online academic activities required significant physical energy (χ2=6.41, P=0.040), and were more reluctant for the playback of activity contents (χ2=9.33, P=0.002) and the screenshot of activity contents (χ2=41.99, P<0.001). CONCLUSIONS: During the COVID-19 pandemic, online academic activities have become the main form of academic exchanges for oncologists. Taking full advantage of online academic activities and paying adequate attention to the participants' requirements with different roles and titles, and from different cities, are key to improving the quality of and involvement in online academic activities.