JD-R model on job insecurity and the moderating effect of COVID-19 perceived susceptibility.

The present research applied a triangulation approach in order to examine the mediating effect of job insecurity and the moderating effect of perceived susceptibility to COVID-19 (PSC) in the Job demands and resources model (JD-R model). Questionnaire and follow-up interview data were collected at two points in time from 292 hotel front-line employees and 15 hotel senior and department managers in Phuket, Thailand. Quantitative results indicated that job insecurity fully mediated the relationship between job demands and job burnout, as well as the relationship between job demands and work engagement. In addition, PSC partially moderated the research model. More specifically, the impact of job insecurity on work engagement is reduced when PSC is low and increased when PSC is high; the impact of job insecurity on job burnout is reduced when PSC is high and increased when PSC is low. Qualitative results further verified the findings of the quantitative study.

Effects of a online brief modified mindfulness-based stress reduction therapy for anxiety among Chinese adults: A randomized clinical trial

The COVID-19 pandemic has exacerbated anxiety and related symptoms among the general population. In order to cope with the mental health burden, we developed an online brief modified mindfulness-based stress reduction (mMBSR) therapy. We performed a parallel-group randomized controlled trial to evaluate the efficacy of the mMBSR for adult anxiety with cognitive-behavioral therapy (CBT) as an active control. Participants were randomized to mMBSR, CBT or waitlist group. Those in the intervention arms performed each therapy for 6 sections in 3 weeks. Measurements were conducted at baseline, post-treatment and 6 months post-treatment by Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, Patient Health Questionnaire-15, reverse scored Cohen Perceived Stress scale, Insomnia Severity Index, and Snaith-Hamilton Pleasure Scale. 150 participants with anxiety symptoms were randomized to mMBSR, CBT or waitlist group. Post intervention assessments showed that mMBSR improved the scores of all the six mental problem dimensions (anxiety, depression, somatization, stress, insomnia, and the experience of pleasure) significantly compared to the waitlist group. During 6-month post treatment assessment, the scores of all six mental problem dimensions in the mMBSR group still showed improvement compared to baseline and showed no significant difference with the CBT group. Our results provide positive evidence for the efficacy and feasibility of an online brief modified MBSR program to alleviate anxiety and related symptoms of individuals from the general population, and the therapeutic benefits of mMBSR persisted for up to six months. This low resource-consuming intervention could facilitate the challenges of supplying psychological health therapy to large scale of population.

Effects of a online brief modified mindfulness-based stress reduction therapy for anxiety among Chinese adults: A randomized clinical trial.

The COVID-19 pandemic has exacerbated anxiety and related symptoms among the general population. In order to cope with the mental health burden, we developed an online brief modified mindfulness-based stress reduction (mMBSR) therapy. We performed a parallel-group randomized controlled trial to evaluate the efficacy of the mMBSR for adult anxiety with cognitive-behavioral therapy (CBT) as an active control. Participants were randomized to mMBSR, CBT or waitlist group. Those in the intervention arms performed each therapy for 6 sections in 3 weeks. Measurements were conducted at baseline, post-treatment and 6 months post-treatment by Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, Patient Health Questionnaire-15, reverse scored Cohen Perceived Stress scale, Insomnia Severity Index, and Snaith-Hamilton Pleasure Scale. 150 participants with anxiety symptoms were randomized to mMBSR, CBT or waitlist group. Post intervention assessments showed that mMBSR improved the scores of all the six mental problem dimensions (anxiety, depression, somatization, stress, insomnia, and the experience of pleasure) significantly compared to the waitlist group. During 6-month post treatment assessment, the scores of all six mental problem dimensions in the mMBSR group still showed improvement compared to baseline and showed no significant difference with the CBT group. Our results provide positive evidence for the efficacy and feasibility of an online brief modified MBSR program to alleviate anxiety and related symptoms of individuals from the general population, and the therapeutic benefits of mMBSR persisted for up to six months. This low resource-consuming intervention could facilitate the challenges of supplying psychological health therapy to large scale of population.

Effectiveness of inactivated COVID-19 vaccines against mild disease, pneumonia, and severe disease among persons infected with SARS-CoV-2 Omicron variant: Real-world study in Jilin Province, China.

BACKGROUND: : It is critical to determine the real-world performance of vaccines against coronavirus disease 2019 (COVID-19) so that appropriate treatments and policies can be implemented. There was a rapid wave of infections by the Omicron variant in Jilin Province (China) during spring 2022. We examined the effectiveness of inactivated vaccines against Omicron using real-world data from this epidemic. METHODS: . This retrospective case-case study of vaccine effectiveness (VE) examined infected patients who were quarantined and treated from April 16 to June 8, 2022 and responded to an electronic questionnaire. Data were analyzed by univariable and multivariable analyses. RESULTS: . A total of 2968 cases with SARS-CoV-2 infections (asymptomatic: 1029, mild disease: 1858, pneumonia: 108, severe disease: 21) were enrolled in the study. Multivariable regression indicated that the risk for pneumonia or severe disease was greater in those who were older or had underlying diseases, but was less in those who received COVID-19 vaccines. Relative to no vaccination, VE against the composite of pneumonia and severe disease was significant for those who received 2 doses (60.1%, 95%CI: 40.0%, 73.5%) or 3 doses (68.1%, 95%CI: 44.6%, 81.7%), and VE was similar in the subgroups of males and females. However, VE against the composite of all three classes of symptomatic diseases was not significant overall, nor after stratification by sex. There was no statistical difference in the VE of vaccines from different manufacturers. CONCLUSION: . The inactivated COVID-19 vaccines protected patients against pneumonia and severe disease from Omicron infection, and booster vaccination enhanced this effect.

Association of nirmatrelvir/ritonavir treatment on upper respiratory SARS-CoV-2 RT-PCR negative conversion rates among high-risk patients with COVID-19.

BACKGROUND: Acceleration of negative respiratory conversion of SARS-CoV-2 in patients with coronavirus disease 2019 (COVID-19) might reduce viral transmission. Nirmatrelvir/ritonavir is a new antiviral agent recently approved for treatment of COVID-19 that has the potential to facilitate negative conversion. METHODS: A cohort of hospitalized adult patients with mild-to-moderate COVID-19 who had a high-risk for progression to severe disease were studied. These patients presented with COVID-19 symptoms between March 5 and April 5, 2022. The time from positive to negative upper respiratory RT-PCR conversion was assessed by Kaplan-Meier plots and Cox proportional hazards regression with the adjustment for patients baseline demographic and clinical characteristics. RESULTS: There were 258 patients treated with nirmatrelvir/ritonavir and 224 non-treated patients who had mild-to-moderate COVID-19. The median (interquartile range) time for patients who converted from positive to negative RT-PCR was 10 days (7-12 days) in patients treated ≤5 days after symptom onset and 17 days (12-21 days) in non-treated patients, respectively. The proportions of patients with a negative conversion at day 15 were 89.7% and 42.0% in treated patients and non-treated patients, corresponding to a hazard ratio of 4.33 (95% CI, 3.31-5.65). Adjustment for baseline differences between the groups had little effect on the association. Subgroup analysis on treated patients suggests that time to negative conversion did not vary with the patients' baseline characteristics. CONCLUSION: This cohort study of high-risk patients with mild-to-moderate COVID-19 found an association between nirmatrelvir/ritonavir treatment and accelerated negative RT-PCR respiratory SARS-CoV-2 conversion that might reduce the risk of viral shedding and disease transmission.

Modeling the social influence of COVID-19 via personalized propagation with deep learning.

Social influence prediction has permeated many domains, including marketing, behavior prediction, recommendation systems, and more. However, traditional methods of predicting social influence not only require domain expertise, they also rely on extracting user features, which can be very tedious. Additionally, graph convolutional networks (GCNs), which deals with graph data in non-Euclidean space, are not directly applicable to Euclidean space. To overcome these problems, we extended DeepInf such that it can predict the social influence of COVID-19 via the transition probability of the page rank domain. Furthermore, our implementation gives rise to a deep learning-based personalized propagation algorithm, called DeepPP. The resulting algorithm combines the personalized propagation of a neural prediction model with the approximate personalized propagation of a neural prediction model from page rank analysis. Four social networks from different domains as well as two COVID-19 datasets were used to analyze the proposed algorithm's efficiency and effectiveness. Compared to other baseline methods, DeepPP provides more accurate social influence predictions. Further, experiments demonstrate that DeepPP can be applied to real-world prediction data for COVID-19.

Milder symptoms and shorter course in patients with re-positive COVID-19: A cohort of 180 patients from Northeast China.

China experienced another widespread Coronavirus disease 2019 (COVID-19) outbreak recently caused by the Omicron variant, which is less severe but far more contagious than the other COVID-19 variants, leading local governments to focus efforts on eliminating the spread of the disease. Previous studies showed that after "recovering" from the virus, some patients could re-test positive for COVID-19 with nucleic acid tests, challenging the control of disease spread. In this study, we aimed to analyze the clinical and laboratory characteristics of re-positive COVID-19 patients in Northeast China. We retrospectively analyzed data from confirmed reverse transcription polymerase chain reaction (RT-PCR) re-positive COVID-19 patients who were admitted to the First Hospital of Jilin University, Jilin Province, China, from March to June 2022. Detailed clinical symptoms, medical history, anti-Corona Virus (CoV) IgG and IgM levels, and CoV nucleic acid cycle threshold (Ct) values during the re-positive period were collected and analyzed. A total of 180 patients were included in this study, including 62 asymptomatic cases and 118 mild cases. The cohort included 113 men and 67 women, with an average age of 45.73 years. The median time between recovery from the virus and re-positivity was 13 days. Our results showed that the proportion of re-positive patients with symptoms was lower, and the nucleic acid test-positive duration was shorter during the re-positive period. Furthermore, in patients with underlying disease, the proportion of patients with symptoms was higher, anti-CoV IgG levels were lower, and the total disease duration was longer. In conclusion, during the re-positive period, the symptoms were milder, and the CoV nucleic acid test-positive course was shorter. The concomitant underlying disease is an important factor associated with clinical symptoms, and the overall course of COVID-19 re-positive patients may be associated with lower anti-CoV IgG levels. Large-scale and multicenter studies are recommended to better understand the pathophysiology of recurrence in patients with COVID-19.

Adapting careers to the COVID crisis: The impact of the pandemic on employees' career orientations.

This paper draws on event system theory and the literatures on career orientations and career shocks to examine the impact of the COVID-19 pandemic on employees' career orientations. Factor analyses in three samples allow us to group seven career orientations into two dimensions: needs-based career orientations (those related to security, lifestyle, and health) and talent- and value-based career orientations (related to job content). We use a three-wave survey of Chinese employees to examine how these two broad orientations evolved in two time windows-one representing high, the other low event strength. We find that the two types of career orientations evolved in different ways during the pandemic: employees' needs-based career orientations were more salient during the COVID crisis than their talent- and value-based career orientations, and the salience of needs-based career orientations did not decrease as event strength abated. Employees' personal exposure to the crisis was positively related to the salience of their needs-based career orientations, but not to the salience of talent- and value-based career orientations. We also show that the salience of needs-based career orientations differed across employee groups: it was weaker among more experienced and successful employees (those higher in the managerial hierarchy and with steeper past pay increases).

Adapting careers to the COVID crisis: The impact of the pandemic on employees' career orientations☆

This paper draws on event system theory and the literatures on career orientations and career shocks to examine the impact of the COVID-19 pandemic on employees' career orientations. Factor analyses in three samples allow us to group seven career orientations into two dimensions: needs-based career orientations (those related to security, lifestyle, and health) and talent- and value-based career orientations (related to job content). We use a three-wave survey of Chinese employees to examine how these two broad orientations evolved in two time windows—one representing high, the other low event strength. We find that the two types of career orientations evolved in different ways during the pandemic: employees' needs-based career orientations were more salient during the COVID crisis than their talent- and value-based career orientations, and the salience of needs-based career orientations did not decrease as event strength abated. Employees' personal exposure to the crisis was positively related to the salience of their needs-based career orientations, but not to the salience of talent- and value-based career orientations. We also show that the salience of needs-based career orientations differed across employee groups: it was weaker among more experienced and successful employees (those higher in the managerial hierarchy and with steeper past pay increases).

Three-month outcomes of recovered COVID-19 patients: prospective observational study.

AIMS: A novel coronavirus SARS-CoV-2 has resulted in an ongoing global pandemic of Coronavirus disease 2019 (COVID-19). However, the outcomes of recovered patients have not been well defined. METHODS: This is a prospective observational follow-up study of survivors with COVID-19 from a designated tertiary center in Hefei, China. We examined chest computed tomography (CT) scanning, pulmonary function, 6-min walk distance (6MWD), and 36 item Short Form General Health Survey (SF-36). RESULTS: Among 81 enrolled patients, 62 (77%) patients and 61 (75%) patients, respectively, completed 1-month and 3-month follow-ups. Abnormal CT findings were still present in 73% of patients at 1 month and 54% at 3 months, whereas chest CT scan scores improved progressively at 1-month (5.0 ± 5.1) and 3-month follow up (3.0 ± 4.5) compared with that during hospitalization (11 ± 6.8). Mild restrictive pulmonary impairment was detected in 11% and 10% of patients at 1-month and 3-month follow up, respectively. The 6MWD was 523 ± 77 m in male patients and 484 ± 58 m in female patients, which was significantly lower than in healthy controls (606 ± 68 m, 568 ± 78 m, p < 0.001). SF-36 scores were significantly impaired in the domains of role physical (RP), role emotional (RE), and social functioning (SF) compared with the normal age-matched population. RP was improved at 3-month compared with 1-month follow up in the 41-64 years group (p < 0.01). Multivariable analysis showed that older age (over 40 years) and steroid administration during hospitalization were independently associated with worse chest CT scores at 3-month follow up. CONCLUSIONS: At 3 months, chest CT abnormalities were present in one half of COVID-19 survivors and worse chest CT scores were independently associated with older age and steroid administration during hospitalization. Residual pulmonary function impairments were modest, whereas exercise capacity and SF-36 scores were significantly lower than the general population. Support program and further follow-up evaluations may be needed.The reviews of this paper are available via the supplemental material section.

Acute psychological impact on COVID-19 patients in Hubei: a multicenter observational study.

We conducted a multicentre cross-sectional survey of COVID-19 patients to evaluate the acute psychological impact on the patients with coronavirus disease 2019 (COVID-19) during isolation treatment based on online questionnaires from 2 February to 5 March 2020. A total of 460 COVID-19 patients from 13 medical centers in Hubei province were investigated for their mental health status using online questionnaires (including Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, Patient Health Questionnaire-15, and Insomnia Severity Index scales). Among all 460 COVID-19 patients, 187 (40.65%) of them were healthcare workers (HCWs). 297 (64.57%) of them were females. The most common psychological problems were somatization symptoms (66.09%, n = 304), followed by depression (53.48%, n = 246), anxiety (46.30%, n = 213), problems of insomnia (42.01%, n = 171), and then self-mutilating or suicidal thoughts (23.26%, n = 107). Of all the patients, 15.65% (n = 72) had severe somatization symptoms, and 2.83% (n = 13) had severe (almost every day) self-mutilating or suicidal thoughts. The most common psychological problems for HCWs were somatization symptoms (67.84%, n = 125), followed by depression (51.87%, n = 97), anxiety (44.92%, n = 84), problems of insomnia (36.18%, n = 55), and then self-mutilating or suicidal thoughts (20.86%, n = 39). Patients with lower education levels were found to be associated with higher incidence of self-mutilating or suicidal thoughts (odds ratio [OR], 2.68, 95% confidence interval [95% CI], 1.66-4.33 [P < 0.001]). Patients with abnormal body temperature were found to be associated with higher incidence of self-mutilating or suicidal thoughts (OR, 3.97, 95% CI, 2.07-7.63 [P < 0.001]), somatic symptoms (OR, 2.06, 95% CI, 1.20-3.55 [P = 0.009]) and insomnia (OR, 1.66, 95% CI, 1.04-2.65 [P = 0.033]). Those with suspected infected family members displayed a higher prevalence of anxiety than those without infected family members (OR, 1.61, 95% CI, 1.1-2.37 [P = 0.015]). Patients at the age of 18-44 years old had fewer somatic symptoms than those aged over 45 years old (OR, 1.91, 95% CI, 1.3-2.81 [P = 0.001]). In conclusion, COVID-19 patients tended to have a high prevalence of adverse psychological events. Early identification and intervention should be conducted to avoid extreme events such as self-mutilating or suicidal impulsivity for COVID-19 patients, especially for those with low education levels and females who have undergone divorce or bereavement.

Clinical features and short-term outcomes of patients with COVID-19 due to different exposure history.

An ongoing outbreak of Coronavirus Disease 2019 (COVID-19) has spread around the world. However, the clinical characteristics and outcomes of patients with COVID-19 related to different modes of exposure have not been well defined. We aimed to explore the clinical features and outcomes of COVID-19 related to one-time community exposure versus continuous household exposure.Retrospective case-control study involving COVID-19 patients admitted to a tertiary designated center in China was performed. Patients were enrolled if they had known exposure history of one-time community exposure or continuous household exposure. Twenty patients were compared in terms of demographic characteristics, clinical presentation, chest CT images, laboratory results, treatments, and clinical outcomes at 1-month follow-up.There were 10 patients in one-time community and continuous household exposure groups respectively. Males compromised 80% and 40% while the median ages were 37.5 and 51 years old in the 2 groups, respectively. Fever and cough were most common symptoms. Ground-glass opacities were presented on chest CT scan in 90% and 70% of the patients, and the median CT scores were 7 and 16 on admission, respectively. Three patients ranked severe in the community exposure group while 7 patients were severe or critical in household exposure group. On 1-month follow-up, all patients were improved clinically but COVID-19 IgG antibody detected positive. Median follow-up CT scores were 0 and 13 while pulmonary function test abnormalities were 0/9 and 2/7 in the 2 groups, respectively.COVID-19 patients with one-time community exposure tended to be mild in severity and had better outcomes, comparing to those with continuous household exposure.

Evaluating a Widely Implemented Proprietary Deterioration Index Model among Hospitalized Patients with COVID-19.

Rationale: The Epic Deterioration Index (EDI) is a proprietary prediction model implemented in over 100 U.S. hospitals that was widely used to support medical decision-making during the coronavirus disease (COVID-19) pandemic. The EDI has not been independently evaluated, and other proprietary models have been shown to be biased against vulnerable populations. Objectives: To independently evaluate the EDI in hospitalized patients with COVID-19 overall and in disproportionately affected subgroups. Methods: We studied adult patients admitted with COVID-19 to units other than the intensive care unit at a large academic medical center from March 9 through May 20, 2020. We used the EDI, calculated at 15-minute intervals, to predict a composite outcome of intensive care unit-level care, mechanical ventilation, or in-hospital death. In a subset of patients hospitalized for at least 48 hours, we also evaluated the ability of the EDI to identify patients at low risk of experiencing this composite outcome during their remaining hospitalization. Results: Among 392 COVID-19 hospitalizations meeting inclusion criteria, 103 (26%) met the composite outcome. The median age of the cohort was 64 (interquartile range, 53-75) with 168 (43%) Black patients and 169 (43%) women. The area under the receiver-operating characteristic curve of the EDI was 0.79 (95% confidence interval, 0.74-0.84). EDI predictions did not differ by race or sex. When exploring clinically relevant thresholds of the EDI, we found patients who met or exceeded an EDI of 68.8 made up 14% of the study cohort and had a 74% probability of experiencing the composite outcome during their hospitalization with a sensitivity of 39% and a median lead time of 24 hours from when this threshold was first exceeded. Among the 286 patients hospitalized for at least 48 hours who had not experienced the composite outcome, 14 (13%) never exceeded an EDI of 37.9, with a negative predictive value of 90% and a sensitivity above this threshold of 91%. Conclusions: We found the EDI identifies small subsets of high-risk and low-risk patients with COVID-19 with good discrimination, although its clinical use as an early warning system is limited by low sensitivity. These findings highlight the importance of independent evaluation of proprietary models before widespread operational use among patients with COVID-19.

The potential mechanism of coronavirus disease 2019 and the treatment effect of mesenchymal stem cells

The coronavirus disease 2019 (COVID-19) is highly infectious, and the mortality of severe patients with the novel coronavirus pneumonia is high. Its pathogenesis is still unclear, and there is a lack of specific treatment method. The cytokine storm and imbalance of immune response may be the pathophysiological basis of acute respiratory distress syndrome (ARDS), multiple organ failure (MOF) and even death for the novel coronavirus pneumonia. Mesenchymal stem cells (MSC) has shown initial efficacy and clinical prospect in the treatment of severe patients by the immune regulation, tissue repair and anti-fibrosis properties. This article reviews the potential pathogenic mechanism of the COVID-19, the possible mechanism and application of MSC in the treatment of the COVID-19, which will provide reference for clinical treatment.

Prevalence of psychological disorders in the COVID-19 epidemic in China: A real world cross-sectional study.

OBJECTIVE: This study aimed to explore the prevalence of psychological disorders and associated factors at different stages of the COVID-19 epidemic in China. METHODS: The mental health status of respondents was assessed via the Patient Health Questionnaire-9 (PHQ-9), Insomnia Severity Index (ISI) and the Generalized Anxiety Disorder 7 (GAD-7) scale. RESULTS: 5657 individuals participated in this study. History of chronic disease was a common risk factor for severe present depression (OR 2.2, 95% confidence interval [CI], 1.82-2.66, p < 0.001), anxiety (OR 2.41, 95% CI, 1.97-2.95, p < 0.001), and insomnia (OR 2.33, 95% CI, 1.83-2.95, p < 0.001) in the survey population. Female respondents had a higher risk of depression (OR 1.61, 95% CI, 1.39-1.87, p < 0.001) and anxiety (OR 1.35, 95% CI, 1.15-1.57, p < 0.001) than males. Among the medical workers, confirmed or suspected positive COVID-19 infection as associated with higher scores for depression (confirmed, OR 1.87; suspected, OR 4.13), anxiety (confirmed, OR 3.05; suspected, OR 3.07), and insomnia (confirmed, OR 3.46; suspected, OR 4.71). LIMITATION: The cross-sectional design of present study presents inference about causality. The present psychological assessment was based on an online survey and on self-report tools, albeit using established instruments. We cannot estimate the participation rate, since we cannot know how many potential subjects received and opened the link for the survey. CONCLUSIONS: Females, non-medical workers and those with a history of chronic diseases have had higher risks for depression, insomnia, and anxiety. Positive COVID-19 infection status was associated with higher risk of depression, insomnia, and anxiety in medical workers.

Risk factors for severe cases of COVID-19: a retrospective cohort study.

BACKGROUND: SARS-CoV-2 has raged around the world since March, 2020. We aim to describe the clinical characteristics and risk factors of severe patients with COVID-19 in Guangzhou. RESULTS: The severity and mortality of COVID-19 was 10.4% and 0.3% respectively. And each 1-year increase in age (OR, 1.057; 95% CI, 1.018-1.098; P=0.004), Wuhan exposure history greater than 2 weeks (OR, 2.765; 95% CI, 1.040-7.355; P=0.042), diarrhea (OR, 24.349; 95% CI, 3.580-165.609; P=0.001), chronic kidney disease (OR, 6.966; 95% CI, 1.310-37.058; P = 0.023), myoglobin higher than 106 µg/L (OR, 8.910; 95% CI, 1.225-64.816; P=0.031), white blood cell higher than 10×109/L (OR, 5.776; 95% CI, 1.052-31.722; P=0.044), and C-reactive protein higher than 10 mg/L (OR, 5.362; 95% CI, 1.631-17.626; P=0.006) were risk factors for severe cases. CONCLUSION: Older age, Wuhan exposure history, diarrhea, chronic kidney disease, elevated myoglobin, elevated white blood cell and C-reactive protein were independent risk factors for severe patients with COVID-19 in Guangzhou. METHODS: We included 288 adult patients with COVID-19 and compared the data between severe and non-severe group. We used univariate and multivariate logistic regression methods to explore risk factors of severe cases.

Clinical features and risk factors for ICU admission in COVID-19 patients with cardiovascular diseases.

Previous studies on coronavirus disease 2019 (COVID-19) have focused on the general population. However, cardiovascular disease (CVD) is a common comorbidity that has rarely been investigated in detail. This study aims to describe clinical characteristics and determine risk factors for intensive care unit (ICU) admission of COVID-19 patients with CVD. In this retrospective cohort study, we included 288 adult patients with COVID-19 in Guangzhou Eighth People's Hospital from January 15, 2020 to March 10, 2020. Demographic characteristics, laboratory results, radiographic findings, complications, and treatments were recorded and compared between CVD and non-CVD groups. A binary logistic regression model was used to identify risk factors associated with ICU admission for infected patients with underlying CVD. COVID-19 patients in the CVD group were older and had higher levels of troponin I (TnI), C-reactive protein (CRP), and creatinine. They were also more prone to develop into severe or critically severe cases, receive ICU admission, and require respiratory support treatment. Multivariate regression analysis showed that the following were risk factors for ICU admission in COVID-19 patients with CVD: each 1-year increase in age (odds ratio (OR), 1.08; 95% confidence interval (CI), 1.02-1.17; p = 0.018); respiratory rate over 24 times per min (OR, 25.52; 95% CI, 5.48-118.87; p < 0.0001); CRP higher than 10 mg/L (OR, 8.12; 95% CI, 1.63-40.49; p = 0.011); and TnI higher than 0.03 µg/L (OR, 9.14; 95% CI, 2.66-31.43; p < 0.0001). Older age, CRP greater than 10 mg/L, TnI higher than 0.03 µg/L, and respiratory rate over 24 times per minute were associated with increasing odds of ICU admission in COVID-19 patients with CVD. Investigating and monitoring these factors could assist in the risk stratification of COVID-19 patients with CVD at an early stage.

Successful recovery of recurrence of positive SARS-CoV-2 RNA in COVID-19 patient with systemic lupus erythematosus: a case report and review.

COVID-19 has become a global concern. A large number of reports have explained the clinical characteristics and treatment strategies of COVID-19, but the characteristics and treatment of COVID-19 patient with systemic lupus erythematosus (SLE) are still unclear. Here, we report the clinical features and treatment of the first SLE patient with confirmed COVID-19 pneumonia. This was a 39-year-old woman, diagnosed with SLE 15 years ago, whose overall clinical characteristics (symptoms, laboratory tests, and chest CTs) were similar to those of the general COVID-19 patients. She continued to take the previous SLE drugs (doses of glucocorticoids, hydroxychloroquine, and immunosuppressive agents were not reduced) and was treated with strict antiviral and infection prevention treatment. After the first discharge, she got a recurrence of COVID-19 during her home isolation, and then returned to hospital and continued the previous therapy. Finally, this long-term immune suppressive patient's COVID-19 was successfully cured. The successful recovery of this case has significant reference value for the future treatment of COVID-19 patients with SLE. Key Points • COVID-19 patients with SLE is advocated to continue the medical treatment for SLE. • Hydroxychloroquine may have potential benefits for COVID-19 patients with SLE. • COVID-19 patients with SLE is prone to relapse, and multiple follow-ups are necessary.

Expert consensus on prevention and control of COVID-19 in the neurological intensive care unit (first edition).

During the COVID-19 epidemic, the treatment of critically ill patients has been increasingly difficult and challenging. During the epidemic, some patients with neurological diseases also have COVID-19, which could be misdiagnosed and cause silent transmission and nosocomial infection. Such risk is high in a neurological intensive care unit (NCU). Therefore, prevention and control of epidemic in critically ill patients is of utmost importance. The principle of NCU care should include comprehensive screening and risk assessment, weighing risk against benefits and reducing the risk of COVID-19 transmission while treating patients as promptly as possible.