How does leader conscientiousness influence frontline staff under conditions of serious anxiety? An empirical study from integrated resorts (IRs)

Purpose>The objective of this study was to improve understanding of frontline staff's subjective happiness and anxiety during the COVID-19 pandemic by investigating the roles of employees' busy mindset and leader conscientiousness.Design/methodology/approach>The link between employee anxiety and subjective happiness was also explored, and the cross-level mediating effect of employee anxiety was tested using a multilevel design. A survey of 373 frontline staffers and 74 team leaders in the integrated resorts (IRs) was conducted in three waves: April (Time 1), May (Time 2) and June (Time 3) in 2020. The data were analysed with SPSS and Mplus using a hierarchical linear modelling (HLM) method.Findings>The results indicated that during the COVID-19 pandemic, a busy mindset increased frontline staff's anxiety and thus decreased their subjective happiness, and leader conscientiousness remedied the effect of anxiety on subjective happiness.Practical implications>The findings are relevant to frontline staffers, team leaders in the hospitality industry and corporate service departments. Against the background of COVID-19, conscientious leaders can significantly help employees to overcome their anxiety and insecurity and improve their subjective happiness, answering the urgent call to deal with the challenges of the new work–life environment.Originality/value>The study differs from previous other studies in two dimensions: First, the authors explored the interactions of the affective events from the cross-level perspectives, i.e. both team level and individual level. Second, the authors conducted this research on the mental issues of the hospitality frontline staffers in the context of the COVID-19 pandemic, which remains a black box to be explored.

Tocilizumab for Severe COVID-19 Pneumonia: Experience from 5 Geriatric Chinese Patients with 6 Months Follow-up

Objective To enable physicians to understand the efficacy and safety of Tocilizumab (TCZ) in patients with severe coronavirus disease-2019 (COVID-19) Methods We respectively reviewed the clinical records, laboratory results, and chest computed tomography (CT) scans of 5 geriatric patients with severe COVID-19 treated with TCZ during their inpatient hospitalization period in Wuhan from February 08, 2020 to April 04, 2020. The survival status of the patients in the third and the sixth month after being discharged was followed up and recorded. Results On the fourteenth day after TCZ administration, periphery oxygen saturation rate (SpO2) returned to normal in 4 patients. The serum Interleukin-6 (IL-6) levels altered in five patients after TCZ infusion. One patient rapidly progressed to acute respiratory distress syndrome (ARDS) and died of multiple organ failures eventually. The other 4 patients were cured and discharged from the hospital. During the inpatient hospitalization period, two patients suffered from virus shedding periods (VSPs) delay, and one patient had mild upper respiratory tract infection. One patient died of esophageal carcinoma one month after being discharged. The other 3 patients survived despite mild cough and insomnia. Serum-specific IgG type antibody titer was decreased in one patient. Six months after being discharged, the other three patients were in good condition. Conclusion TCZ may be an efficient therapeutic option for patients with COVID-19. However, the possibility of VSPs delay, secondary infection, serum protective antibody tilter attenuation, and long-term survival status should be addressed before TCZ therapy initiation.

Driving force of COVID-19 among people living with HIV in Wuhan, China.

BACKGROUND: Although people living with HIV (PLWH) were considered to be at increased risk of SARS-CoV-2 infection, the driving force among this group of individuals is still not clear. METHODS: We investigated 1,709 PLWH through a telephone interview and identified 11 COVID-19 patients in four districts of Wuhan, China. The demographic features and major clinical characteristics of these patients were retrieved from the information management systems for COVID-19 patients of the four districts' CDC. Statistical analysis was performed to find out the driving force of COVID-19 among PLWH. RESULTS: The prevalence of COVID-19 in PLWH is 0.6% (95% CI: 0.2% - 1.0%), which is comparable to the overall population prevalence in Wuhan city (0.6%). Nine out of the 11 COVID-19 patients had relatively high CD4+ T lymphocyte count (>200/µl) and undetectable HIV viral load (<20 copies/ml), and ten of them were on antiretroviral therapy. Older PLWH with low CD4 + count, got HIV infected through homosexual activity, and had been diagnosed with HIV for a long time, were more likely to develop COVID-19. CONCLUSIONS: COVID-19 related morbidity rates were comparable between PLWH and the general population. Older age with low CD4 count, an extended period of HIV diagnosis, and treatment-naivety were potential driving forces of COVID-19 prevalence among PLWH. Strategies for preventing SARS-CoV-2 infection among PLWH with weak immune responses are required.

Carbon peak and its mitigation implications for China in the post-pandemic era.

China's carbon peak greatly impacts global climate targets. Limited studies have comprehensively analyzed the influence of the COVID-19 pandemic, changing emission network, and recent carbon intensity (CI) reduction on the carbon peak and the corresponding mitigation implications. Using a unique dataset at different levels, we project China's CO2 emission by 2035 and analyze the time, volume, driver patterns, complex emission network, and policy implications of China's carbon peak in the post- pandemic era. We develop an ensemble time-series model with machine learning approaches as the projection benchmark, and show that China's carbon peak will be achieved by 2021-2026 with > 80% probability. Most Chinese cities and counties have not achieved carbon peaks response to the priority-peak policy and the current implementation of CI reduction should thus be strengthened. While there is a "trade off" between the application of carbon emission reduction technology and economic recovery in the post-pandemic era, a close cooperation of interprovincial CO2 emission is also warranted.

Intravenous vitamin C use and risk of severity and mortality in COVID-19: A systematic review and meta-analysis.

The administration of intravenous vitamin C (IV-VC) in treating patients with coronavirus disease 2019 (COVID-19) is still highly controversial. There have been no previous studies on the effect of IV-VC on the severity and mortality of COVID-19. Hence, we conducted a systematic review and meta-analysis to compare the disease severity and mortality in patients with COVID-19 who promptly received IV-VC treatment vs those who did not. We performed a comprehensive systematic search of seven health science databases, including PubMed, Embase, Cochrane Library, MEDLINE, Web of Science, China National Knowledge Infrastructure, and Wanfang Data, up to June 23, 2021. We identified a total of seven related articles, which were included in this study. This meta-analysis showed that IV-VC treatment did not affect disease severity compared with placebo treatment or usual care (odds ratio [OR], 0.70; 95% CI, 0.45 to 1.07; P = 0.10). In addition, no statistically significant difference in mortality was observed between patients who received IV-VC treatment and those who did not (OR, 0.64; 95% CI, 0.41 to 1.00; P = 0.05). Moreover, the adjusted meta-analysis revealed that the use of IV-VC did not influence disease severity (OR, 0.67; 95% CI, 0.34 to 1.31; P = 0.242) or mortality (OR, 1.02; 95% CI, 0.75 to 1.40; P = 0.877) in comparison with a control group. The results of this meta-analysis demonstrated that short-term IV-VC treatment did not reduce the risk of severity and mortality in patients with COVID-19.

The effect of previous oral anticoagulant use on clinical outcomes in COVID-19: A systematic review and meta-analysis.

Data on the prognosis of patients treated with oral anticoagulation (OAC) prior to hospital admission for COVID-19 remains controversial and insufficient. Therefore, we endeavored to perform a systematic review and meta-analysis to evaluate the effect of chronic use of OAC prior to the diagnosis of COVID-19 on intensive care unit (ICU) admission and mortality. An electronic search of the Pubmed, Embase, Cochrane library databases was conducted. Meta-analysis and statistical analyses were completed with using the RevMan 5.3 and Stata 12.0. A total of 13 articles representing data from 1,266,231 participants were included in this study. The meta-analysis of unadjusted results showed no decrease in mortality (OR = 1.31, 95% CI: 0.99 to 1.73, P = 0.059) or ICU admission rate (OR = 0.71, 95% CI: 0.29 to 1.77, P = 0.46) in COVID-19 patients with prior OAC therapy at hospital admission compared to patients without prior use of OAC. Moreover, the meta-analysis of adjusted results showed no lower risk of mortality (OR = 1.08, 95% CI: 0.90 to 1.30, P = 0.415) or ICU admission (OR = 1.50, 95% CI: 0.72 to 3.12, P = 0.284) in patients with prior OAC use compared to patients without previous OAC use. In conclusion, the results of this study revealed that the use of OAC prior to hospital admission appeared to be ineffective in reducing the risk of intensive care need and mortality in COVID-19 patients. Randomized controlled trials are needed to evaluate and optimize the use of OAC in COVID-19 infection.

Relationship between lung injury extent and phenotype manifested in non-contrast CT and cardiac injury during acute stage of COVID-19.

PURPOSE: This study evaluated the diagnostic values of the extent of lung injury manifested in non-contrast enhanced CT (NCCT) images, the inflammatory and immunological biomarkers C-reactive protein (CRP) and lymphocyte for detecting acute cardiac injury (ACI) in patients with COVID-19. The correlations between the NCCT-derived parameters and arterial blood oxygen level were also investigated. METHODS: NCCT lung images and blood tests were obtained in 143 patients with COVID-19 in approximately two weeks after symptom onset, and arterial blood gas measurement was also acquired in 113 (79%) patients. The diagnostic values of normal, moderately and severely abnormal lung parenchyma volume relative to the whole lungs (RVNP, RVMAP, RVSAP, respectively) measured from NCCT images for detecting the heart injury confirmed with high-sensitivity troponin I assay was determined. RESULTS: RVNP, RVMAP and RVSAP exhibited similar accuracy for detecting ACI in COVID-19 patients. RVNP was significantly lower while both RVMAP and RVSAP were significantly higher in the patients with ACI. All of the NCCT-derived parameters exhibited poor linear and non-linear correlations with PaO2 and SaO2. The patients with ACI had a significantly higher CRP level but a lower lymphocyte level compared to the patients without ACI. Combining one of these two biomarkers with any of the three NCCT-derived parameter further improved the accuracy for predicting ACI in patients with COVID-19. CONCLUSION: The NCCT-delineated normal and abnormal lung parenchmyma tissues were statistically significant predictors of ACI in patients with COVID-19, but both exhibited poor correlations with the arterial blood oxygen level. The incremental diagnostic values of lymphocyte and CRP suggested viral infection and inflammation were closely related to the heart injury during the acute stage of COVID-19.

Risk factors for mortality in hemodialysis patients with COVID-19: a systematic review and meta-analysis.

BACKGROUND: New evidence from studies on risk factors for mortality in hemodialysis (HD) patients with COVID-19 became available. We aimed to review the clinical risk factors for fatal outcomes in these patients. METHODS: We performed meta-analysis using the PubMed, EMBASE, and Cochrane databases. A fixed- or random-effects model was used for calculating heterogeneity. We used contour-enhanced funnel plot and Egger's tests to assess potential publication bias. RESULTS: Twenty-one studies were included. The proportion of males was lower in the survivor group than in the non-survivor group (OR = 0.75, 95% CI [0.61, 0.94]). The proportion of respiratory diseases was significantly lower in the survivor group than in the non-survivor group (OR = 0.42, 95% CI [0.29, 0.60]). The proportion of patients with fever, cough, and dyspnea was significantly lower in the survivor group (fever: OR = 0.53, 95% CI [0.31, 0.92]; cough: OR = 0.50, 95% CI [0.38, 0.65]; dyspnea: OR = 0.25, 95% CI [0.14, 0.47]) than in the non-survivor group. Compared with the non-survivor group, the survivor group had higher albumin and platelet levels and lower leucocyte counts. CONCLUSIONS: Male patients might have a higher risk of developing severe COVID-19. Comorbidities, such as respiratory diseases could also greatly influence the clinical prognosis of COVID-19. Clinical features, such as fever, dyspnea, cough, and abnormal platelet, leucocyte, and albumin levels, could imply eventual death. Our findings will help clinicians identify markers for the detection of high mortality risk in HD patients at an early stage of COVID-19.

Hydroxychloroquine/chloroquine in patients with COVID-19 in Wuhan, China: a retrospective cohort study.

BACKGROUND: Since the COVID-19 pandemic, several therapeutic agents have been used in COVID-19 management. However, the results were controversial. Here, we aimed to evaluate the efficacy and safety of hydroxychloroquine (HCQ)/chloroquine (CQ) in COVID-19. METHODS: We retrospectively reviewed the medical charts of patients with COVID-19 admitted to an inpatient ward in Wuhan from 2020/Feb/08 to 2020/Mar/05. Patients with HCQ/CQ and age, gender, disease severity matched ones without HCQ/CQ were selected at a 1:2 ratio. The clinical, laboratory and imaging findings were compared between these two groups. The multivariate linear regression analysis was performed to identify the factors that might influence patients' virus shedding periods (VSPs). RESULTS: A total of 14 patients with HCQ/CQ and 21 matched ones were analyzed. The HCQ/CQ treatment lasted for an average of 10.36 ± 3.12 days. The mean VSPs were longer in the HCQ/CQ treatment group (26.57 ± 10.35 days vs. 19.10 ± 7.80 days, P = 0.020). There were 3 patients deceased during inpatient period, two patients were with HCQ/CQ treatment (P = 0.551). In the multivariate linear regression analysis, disease durations at admission (t = 3.643, P = 0.001) and HCQ/CQ treatment (t = 2.637, P = 0.013) were independent parameters for patients' VSPs. One patient with CQ had recurrent first-degree atrioventricular block (AVB) and obvious QTc elongation, another one complained about dizziness and blurred vision which disappeared after CQ discontinuation. One patient with HCQ had transient AVB. CONCLUSIONS: In summary, we identify that the HCQ/CQ administration is not related to less mortality cases at later phase of COVID-19. More studies are needed to explore whether HCQ/CQ treatment would lead to SARS-Cov-2 RNA clearance delay or not.

Characterization of the Human Oropharyngeal Microbiomes in SARS-CoV-2 Infection and Recovery Patients.

Respiratory tract microbiome is closely related to respiratory tract infections, while characterization of oropharyngeal microbiome in recovered coronavirus disease 2019 (COVID-19) patients is not studied. Herein, oropharyngeal swabs are collected from confirmed cases (CCs) with COVID-19 (73 subjects), suspected cases (SCs) (36), confirmed cases who recovered (21), suspected cases who recovered (36), and healthy controls (Hs) (140) and then completed MiSeq sequencing. Oropharyngeal microbial α-diversity is markedly reduced in CCs versus Hs. Opportunistic pathogens are increased, while butyrate-producing genera are decreased in CCs versus Hs. The classifier based on eight optimal microbial markers is constructed through a random forest model and reached great diagnostic efficacy in both discovery and validation cohorts. Notably, the classifier successfully diagnosed SCs with positive IgG antibody as CCs and is demonstrated from the perspective of the microbiome. Importantly, several genera with significant differences gradually increase and decrease along with recovery from COVID-19. Forty-four oropharyngeal operational taxonomy units (OTUs) are closely correlated with 11 clinical indicators of SARS-CoV-2 infection and Hs based on Spearman correlation analysis. Together, this research is the first to characterize oropharyngeal microbiota in recovered COVID-19 cases and suspected cases, to successfully construct and validate the diagnostic model for COVID-19 and to depict the correlations between microbial OTUs and clinical indicators.

Maternal mental health and well-being during the COVID-19 pandemic in Beijing, China.

BACKGROUND: The aim of this study is to evaluate the impact of the coronavirus disease 2019 (COVID-19) pandemic on breastfeeding women and to identify predictors of maternal mental health and coping. METHODS: Mothers aged ≥ 18 years with a breast-fed infant ≤ 18 months of age during the COVID-19 pandemic in Beijing, China, completed a questionnaire. Descriptive analysis of lockdown consequences was performed and predictors of these outcomes were examined using stepwise linear regression. RESULTS: Of 2233 participants, 29.9%, 20.0% and 34.7% felt down, lonely, and worried, respectively, during the lockdown; however, 85.3% felt able to cope. Poorer maternal mental health was predicted by maternal (younger age, higher education) and infant (older age, lower gestation) characteristics, and social circumstances (husband unemployed or working from home, receiving advice from family, having enough space for the baby, living close to a park or green space). Conversely, better maternal mental health was predicted by higher income, employment requiring higher qualifications, more personal space at home, shopping or walking > once/week and lack of impact of COVID-19 on job or income. Mothers with higher education, more bedrooms, fair division of household chores and attending an online mother and baby group > once/week reported better coping. CONCLUSION: The findings highlight maternal characteristics and circumstances that predict poorer mental health and reduced coping which could be used to target interventions in any future public health emergencies requiring social restrictions.

The association between severe or death COVID-19 and solid organ transplantation: A systematic review and meta-analysis.

BACKGROUND: The effect of solid organ transplantation (SOT) on the severity and mortality of coronavirus disease 2019 (COVID-19) remained controversial. There is still no consensus on whether solid organ transplantation (SOT) recipients with COVID-19 are at greater risk of developing severe or fatal COVID-19. Therefore, we conducted a systematic review and meta-analysis to investigate the association between SOT, severe COVID-19 illness, and mortality. METHODS: A systemically comprehensive search in Pubmed, Embase, the Cochrane Library, Web of Science, and China National Knowledge Infrastructure was performed for relevant studies and articles. Consequently, we pooled the odds ratio (OR) from individual studies and performed heterogeneity, quality assessment and subgroup/sensitivity analysis. RESULTS: A total number of 15 articles with 265,839 participants were included in this study. Among the total number of participants, 1485 were SOT recipients. The meta-analysis results showed that transplant patients with COVID-19 were remarkably associated with a higher risk of intensive care unit admission than non-transplant patients (OR = 1.57, 95%CI: 1.07 to 2.31, P = 0.02). On the other hand, there were no statistically significant differences between SOT recipients and non-SOT recipients in mechanical ventilation need (OR = 1.55, 95%CI: 0.98 to 2.44, P = 0.06). In addition, we found that SOT recipients with COVID-19 had 1.40-fold increased odds of mortality than non-SOT recipients (OR = 1.40, 95%CI: 1.10 to 1.79, P = 0.007). Moreover, pooled analysis of adjusted results revealed that SOT recipients had a greater risk of mortality compared with non-SOT patients (HR = 1.54, 95%CI: 1.03 to 2.32, P = 0.037). LIMITATIONS: The main limitations in our study are attributed to the relatively small sample size, short follow-up period, and the fact that most of the studies included were retrospective in design. CONCLUSIONS: The results of this study indicate that SOT recipients with COVID-19 had a more significant risk of COVID-19 severity and mortality than the general population.

The impacts of import-side changes in grain supply on China's food security

Since China's entry into WTO, the scale of grain import has been increasing continuously, and the structure of grain import has been continuously optimized, which has greatly alleviated the pressure of resources and environment on domestic grain production, and effectively met the consumption demand of domestic grain market. Meanwhile, the diversification process of grain import channels has been accelerated, and the center of gravity has been constantly shifting to the regions along the Belt and Road, so as to enhance the ability of avoiding the market risks of single import channels and strengthening the initiative of grain import. The fluctuation of grain import price has been weakened, which provides favorable external conditions for the stability of domestic agricultural product prices. Meanwhile, the inversion of grain prices at home and abroad has been intensified for a time, which highlights the competitive disadvantage of the domestic grain market. The outbreak of COVID-19 in 2020 tested and strengthened China's ability to utilize foreign food resources and markets in major international public security emergencies and exposed the potential risk of price fluctuations due to China's long-standing dependence on soybean imports. Therefore, China should focus on the transformation and upgrading of domestic grain production, continue to shift the focus of grain import from the traditional layout in Europe and the United States to the countries along the Belt and Road, strengthen price risk management with agricultural financial instruments, and enrich the grain security strategy with the concept of "food security".

A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images.

Common lung diseases are first diagnosed using chest X-rays. Here, we show that a fully automated deep-learning pipeline for the standardization of chest X-ray images, for the visualization of lesions and for disease diagnosis can identify viral pneumonia caused by coronavirus disease 2019 (COVID-19) and assess its severity, and can also discriminate between viral pneumonia caused by COVID-19 and other types of pneumonia. The deep-learning system was developed using a heterogeneous multicentre dataset of 145,202 images, and tested retrospectively and prospectively with thousands of additional images across four patient cohorts and multiple countries. The system generalized across settings, discriminating between viral pneumonia, other types of pneumonia and the absence of disease with areas under the receiver operating characteristic curve (AUCs) of 0.94-0.98; between severe and non-severe COVID-19 with an AUC of 0.87; and between COVID-19 pneumonia and other viral or non-viral pneumonia with AUCs of 0.87-0.97. In an independent set of 440 chest X-rays, the system performed comparably to senior radiologists and improved the performance of junior radiologists. Automated deep-learning systems for the assessment of pneumonia could facilitate early intervention and provide support for clinical decision-making.