Sleep quality was associated with adverse reactions after coronavirus disease 2019 vaccination among healthcare workers: A longitudinal paired study.

Background: Many countries have currently relied on various types of vaccines for the public to control the coronavirus disease 2019 (COVID-19) pandemic. The adverse reactions (ARs) after vaccination may affect vaccination coverage and confidence. However, whether sleep quality was associated with ARs after vaccination remains unclear. Methods: We designed a longitudinal paired study within a hospital setting. We collected data about the side effects within 7 days after two doses of scheduled vaccination among healthcare workers (HCWs). All HCWs were asked to complete a sleep survey indexed by the Pittsburgh Sleep Quality Index (PSQI) before vaccination and after a 1-month follow-up. Then, we explored the relationship between sleep quality before or after vaccination and the occurrence of ARs. Results: A total of 345 HCWs were recruited to receive COVID-19 vaccination. The sleep quality became worse after vaccination. All local and systemic reactions were mild or moderate in severity (32.46%), and no serious adverse event was reported. Binary logistic regression showed participants with poor sleep quality (PSQI > 5) than good sleep quality (PSQI ≤ 5) before the two doses of vaccination, respectively, exhibited 1.515 and 1.107 times risk of ARs after each vaccination (both p < 0.001). Conclusion: There is an apparently complex bidirectional relationship between sleep quality and COVID-19 vaccination adverse effects. Poor sleep quality significantly increases the risk of mild ARs after vaccination, while vaccination may cause a temporary decline in sleep quality.

Altered Lipid Profile Is a Risk Factor for the Poor Progression of COVID-19: From Two Retrospective Cohorts.

Background: The coronavirus disease 2019 (COVID-19) pandemic has spread worldwide. However, the impact of baseline lipid profile on clinical endpoints in COVID-19 and the potential effect of COVID-19 on lipid profile remain unclear. Methods: In this retrospective cohort study, we consecutively enrolled 430 adult COVID-19 patients from two Chinese hospitals (one each in Chengdu and Wuhan). The lipid profile before admission and during the disease course and the clinical endpoint including in-hospital death or oropharyngeal swab test positive again (OSTPA) after discharge were collected. We used Kaplan-Meier and Cox regression to explore the lipid risk factors before admission associated with endpoints. Then, we assessed the lipid level change along with the disease course to determine the relationship between pathology alteration and the lipid change. Results: In the Chengdu cohort, multivariable Cox regression showed that low-density lipoprotein cholesterol (LDL-C) dyslipidemia before admission was associated with OSTPA after discharge for COVID-19 patients (RR: 2.51, 95% CI: 1.19, 5.29, p = 0.006). In the Wuhan cohort, the patients with triglyceride (TG) dyslipidemia had an increased risk of in-hospital death (RR: 1.92, 95% CI: 1.08, 3.60, p = 0.016). In addition, in both cohorts, the lipid levels gradually decreased in the in-hospital death or OSTPA subgroups since admission. On admission, we also noticed the relationship between the biomarkers of inflammation and the organ function measures and this lipid level in both cohorts. For example, after adjusting for age, sex, comorbidities, smoking, and drinking status, the C-reactive protein level was negatively associated with the TC lipid level [ß (SE) = -0.646 (0.219), p = 0.005]. However, an increased level of alanine aminotransferase, which indicates impaired hepatic function, was positively associated with total cholesterol (TC) lipid levels in the Chengdu cohort [ß (SE) = 0.633 (0.229), p = 0.007]. Conclusions: The baseline dyslipidemia should be considered as a risk factor for poor prognosis of COVID-19. However, lipid levels may be altered during the COVID-19 course, since lipidology may be distinctly affected by both inflammation and organic damage for SARS-CoV-2.

Job-related factors associated with changes in sleep quality among healthcare workers screening for 2019 novel coronavirus infection: a longitudinal study.

BACKGROUND: Sleep disorders may exacerbate many physical and mental health conditions, causing difficulty function in a healthcare setting. Workers screening for the 2019 novel coronavirus (2019-nCoV) infection have a high risk of not only occupational exposure to the virus but also sleep disorders. However, the job-related factors associated with reduced sleep quality remain unclear. METHODS: All healthcare workers temporarily scheduled to screen the 2019-nCoV patients were asked to complete a self-administered questionnaire that included questions on demographics, job-related factors, and sleep quality as assessed using the Pittsburgh Sleep Quality Index (PSQI). Sleep quality was assessed over a one-month follow-up period. RESULTS: A total of 116 doctors and 99 nurses were recruited for this study. The total scheduled work time was 14.78 ± 6.69 days during follow-up. Some job-related factors, such as number of work days, years of work experience, and subjective psychological stress, were associated with changes in the PSQI score. During the study, some workers tried out cognitive behavioral therapy (CBT) for sleep disorders using methods that were available online and easily accessible. Adopting online CBT was shown to be associated with scores of components of sleep quality, sleep latency, and sleep disturbance (ß = -0.152, P = 0.01; ß = -0.175, P = 0.008; and ß = -0.158, P = 0.011, respectively). CONCLUSIONS: Healthcare workers involved in screening for 2019-nCoV experienced reduced sleep quality, and a reasonable work schedule may help with maintaining sleep quality. In addition, interventions for healthcare workers should target self-help sleep assistance.