Awake prone positioning for patients with COVID-19 pneumonia in intensive care unit: A systematic review and meta-analysis.

Background: Awake prone positioning (APP) has been widely used in non-intubated COVID-19 patients during the pandemic. However, high-quality evidence to support its use in severe COVID-19 patients in an intensive care unit (ICU) is inadequate. Therefore, we aimed to assess the efficacy and safety of APP for intubation requirements and other important outcomes in this patient population. Methods: We searched for potentially relevant articles in PubMed, Embase, and the Cochrane database from inception to May 25, 2022. Studies focusing on COVID-19 adults in ICU who received APP compared to controls were included. The primary outcome was the intubation requirement. Secondary outcomes were mortality, ICU stay, and adverse events. Study quality was independently assessed, and we also conducted subgroup analysis, sensitivity analysis, and publication bias to explore the potential influence factors. Results: Ten randomized controlled trials with 1,686 patients were eligible. The quality of the included studies was low to moderate. Overall, the intubation rate was 35.2% in the included patients. The mean daily APP duration ranged from <6 to 9 h, with poor adherence to APP protocols. When pooling, APP significantly reduced intubation requirement (risk ratio [RR] 0.84; 95%CI, 0.74-0.95; I 2 = 0%, P = 0.007). Subgroup analyses confirmed the reduced intubation rates in patients who were older (≥60 years), obese, came from a high mortality risk population (>20%), received HFNC/NIV, had lower SpO2/FiO2 (<150 mmHg), or undergone longer duration of APP (≥8 h). However, APP showed no beneficial effect on mortality (RR 0.92 [95% CI 0.77-1.10; I 2 = 0%, P = 0.37] and length of ICU stay (mean difference = -0.58 days; 95% CI, -2.49 to 1.32; I 2 = 63%; P = 0.55). Conclusion: APP significantly reduced intubation requirements in ICU patients with COVID-19 pneumonia without affecting the outcomes of mortality and ICU stay. Further studies with better APP protocol adherence will be needed to define the subgroup of patients most likely to benefit from this strategy.

The Effect of Inactivated SARS-CoV-2 Vaccines on TRAB in Graves' Disease.

Background: The ongoing coronavirus disease 2019 (COVID-19) pandemic has forced the development of vaccines. Reports have suggested that vaccines play a role in inducing autoimmune diseases (AIDs). Scattered cases have reported that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines may promote thyroid disease, including Graves' disease (GD). However, the effect of inactivated SARS-CoV-2 vaccine on GD remains unclear. The aim of the present study was to investigate the response of thyrotropin receptor antibody (TRAB) to inactivated SARS-COV-2 vaccines. Methods: We conducted a retrospective study to observe the differences in thyroid function and TRAB trends between pre-vaccination (n=412) and post-vaccination (n=231) groups at an interval of 2 months. We then retrospectively observed the differences in serum thyroid function and TRAB levels at 3 months before (n=280), 1 month before (n=294), 1 month after (n=306), and 3 months after (n=250) vaccination. Subsequently, 173 GD patients who were not vaccinated with inactivated SARS-COV-2 vaccines were selected for a prospective study. Thyroid function and TRAB assessment were performed before 3 and 1 months and 1 and 3 months after the first dose of vaccination and were then compared by repeated measures ANOVA to explore their dynamic changes. Results: A retrospective study preliminarily observed that the trend of TRAB post-vaccination was opposite of that pre-vaccination (p=0.000), serum TRAB levels decreased before vaccination and increased after vaccination. In this prospective study, repeated measures ANOVA indicated significant differences in serum FT3 (p=0.000), FT4 (p=0.000), TSH (p=0.000), and TRAB (p=0.000) levels at different time points before and after vaccination. Serum TRAB levels showed dynamic changes that decreased significantly at 1 month before vaccination (p=0.000), no significant differences at 1 month after vaccination (p=0.583), and reflected an upward trend at 3 months after vaccination (p=0.034). Serum FT3 and FT4 levels showed similar trends to serum TRAB levels before and after vaccination. Instead, the serum TSH levels showed a continuous upward trend over time. Conclusion: Based on the results obtained in both retrospective and prospective studies, we concluded that serum TRAB levels decreased less after inactivated SARS-CoV-2 vaccination and showed an upward trend, which may be related to humoral immunity induced by vaccination.

Development of early warning and rapid response system for patients with novel coronavirus pneumonia (COVID-19): A research protocol.

BACKGROUND: Coronavirus disease 2019 (COVID-19) has caused serious damage to public health. COVID-19 has no vaccine or specific therapy; its mortality rate increases significantly once patients deteriorate. Furthermore, intensive monitoring of COVID-19 is limited by insufficient medical resources and increased risks of exposure to medical staff. We therefore aim to build an early warning and rapid response system (EWRRS) to address these problems. METHOD: The research is designed as a prospective cohort study, to verify a dynamic and interactive evaluation system; it includes patient self-reporting, active monitoring, early alarming and treatment recommendations. Adult patients diagnosed with COVID-19 will be recruited from Sept 2020 to Aug 2021 at a tertiary contagious hospital. Patients with life expectancy <48 hours, pregnant or lactating, in immunosuppression states or end-stage diseases will be excluded. The intervention is implementation of EWRRS to detect early signs of clinical deterioration of COVID-19 patients, to provide timely and efficient treatment suggestions by the system. EWRRS can determine the classification and interactive evaluation of patient information; the determination is based on the application of 3 different scenario modules, separately driven by patients, nurses, and physicians. The primary outcome is change in disease severity category after treatment. Secondary outcomes include the proportion of patients with different disease severity types; critical deterioration events; patients who had unplanned transfers to an intensive care unit (ICU) and required critical care interventions; intervals from warning to implementation of clinical interventions; hospital mortality; length of ICU and hospital stay; workload of medical staff and risks of exposure to COVID-19. DISCUSSION: Our hypothesis is that EWRRS provides an example of an early identification, warning, and response system for COVID-19. In addition, EWRRS can potentially be extended to use as a grading metric for general critically ill patients in an ICU setting.

Assessment of Chinese medicine for coronavirus-related pneumonia: A protocol for systematic review and meta-analysis.

BACKGROUND: The 2019 novel coronavirus disease has caused a global pandemic with substantial morbidity and mortality. Chinese medicine has been extensively employed in the coronavirus-related pandemic in China. We aim to assess the efficacy and safety of Chinese medicine in treatment of coronavirus-related pneumonia with the updated results of relevant clinical trials. METHODS: Six electronic databases including PubMed, EMBASE, Cochrane Library, China National Knowledge Infrastructure, Chongqing VIP, and SinoMed will be searched to identify randomized controlled trials up to May 2020. Patients diagnosed with coronavirus-related pneumonia including severe acute respiratory syndrome, Middle East respiratory syndrome, and 2019 novel coronavirus disease and administrated with Chinese medicine will be included. The primary outcome is the all cause mortality at the longest follow up available. The second outcomes include the length of stay in hospital and intensive care units, the duration of mechanical ventilation, and adverse events. The pooled effects will be analyzed and reported as risk ratios for dichotomous data using the Mantel-Haenszel method or mean differences for continuous data using the inverse-variance method. Sensitivity and subgroup analyses will be performed to test the robustness of the results and to explore the potential sources of heterogeneities. The Egger test and/or funnel plots will be used for the examination of publication bias. The grades of recommendation assessment, development, and evaluation methodology will be used to summarize the quality of evidence. The trial sequential analysis will be conducted to test whether the meta-analysis has a sufficient sample size after adjustment of the increased type I and II error risks. RESULTS: The evidence to date of Chinese medicine in treatment of coronavirus-related pneumonia will be systematically reviewed and meta-analyzed. CONCLUSION: The relevant studies will be summarized and further evidence will be provided.PROSPERO registration number: CRD42020178879.