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2.
Front Public Health ; 9: 671400, 2021.
Article in English | MEDLINE | ID: covidwho-1256411

ABSTRACT

The prevalence and related factors of mental health impact among medical staffs who experienced the second wave of the COVID-19 pandemic in China is unknown. Therefore, this survey was conducted to investigate the prevalence and related factors of depressive, anxiety, acute stress, and insomnia symptoms in medical staffs in Kashi, Xinjiang, China during the second wave of the COVID-19 pandemic. A cross-sectional online survey was conducted among medical staffs working in First People's Hospital of Kashi, Xinjiang. The questionnaire collected demographic data and self-design questions related to the COVID-19 pandemic. The Impact of Events Scale-6, the Insomnia Severity Index, the Patient Health Questionnaire-9, the Generalized Anxiety Disorder Scale-7, the Perceived Social Support Scale, the Chinese Big Five Personality Inventory-15, and the Trait Coping Style Questionnaire were used to measure psychological symptoms or characteristics. Binary logistic regression was carried out to examine the associations between socio-demographic factors and symptoms of depression, anxiety, stress, and insomnia. In total, data from 123 participants were finally included, among which the prevalence rate of depressive, anxiety, acute stress, and insomnia symptoms is 60.2, 49.6, 43.1, and 41.1%, respectively. The regression model revealed that minority ethnicity, being worried about infection, spending more time on following pandemic information, and neurotic personality were positively associated with the mental health symptoms, while extraversion personality, higher education level, and better social support were negatively associated. In our study, the prevalence of mental health impact was high among medical staffs in Kashi, China who experienced the second wave of the COVID-19 pandemic. Several factors were found to be associated with mental health conditions. These findings could help identify medical staffs at risk for mental health problems and be helpful for making precise mental health intervention policies during the resurgence. Our study may pave way for more research into Xinjiang during the COVID-19 pandemic.


Subject(s)
COVID-19 , Sleep Initiation and Maintenance Disorders , Anxiety/epidemiology , China/epidemiology , Cross-Sectional Studies , Depression/epidemiology , Humans , Medical Staff , Pandemics , Prevalence , SARS-CoV-2 , Sleep Initiation and Maintenance Disorders/epidemiology
3.
J Psychiatr Res ; 137: 393-400, 2021 05.
Article in English | MEDLINE | ID: covidwho-1135471

ABSTRACT

The coronavirus disease 2019 (COVID-19) pandemic has imposed both physical and psychological burdens on healthcare workers (HCWs). What is more, few studies have focused on the gender differences in mental health problems (MHPs) among HCWs during such an outbreak. Thus, the current study investigated the prevalence and gender differences of various MHPs among HCWs in China during the COVID-19 outbreak. This nationwide survey was conducted online from January 29 to February 3, 2020. General information was collected by questions about socio-demographics, work-related factors, and living situations. Depressive, anxiety, stress, and insomnia symptoms were assessed by the Patient Health Questionnaire-9, the Generalized Anxiety Disorder-7, the Impact of Event Scale-Revised, and the Insomnia Severity Index, respectively. Among the 2198 contacted HCWs, 1563 (71.1%) responded with valid data, of whom 1293 (82.7%) were females. The prevalences of depressive, anxiety, stress, and insomnia symptoms in participants were 50.7%, 44.7%, 52.5%, and 36.1%, respectively. Female HCWs had significantly higher scores in all four scales (p < 0.001) and higher prevalences in all MHPs involved (range, odds ratio [OR] 1.55-1.97). After adjusting for potential confounders, female HCWs still had higher risks for all MHPs involved than males (range, adjusted OR 1.36-1.96). HCWs present high prevalences of depressive, anxiety, stress, and insomnia symptoms during the COVID-19 outbreak. Furthermore, female HCWs are more vulnerable to all MHPs involved. These findings highlight the need for timely, special care and support for HCWs during the outbreak, especially for females.


Subject(s)
COVID-19/epidemiology , Health Personnel/psychology , Health Personnel/statistics & numerical data , Mental Health/statistics & numerical data , Adolescent , Adult , Anxiety/epidemiology , China/epidemiology , Cross-Sectional Studies , Depression/epidemiology , Disease Outbreaks , Female , Humans , Male , Middle Aged , Sex Factors , Sleep Initiation and Maintenance Disorders/epidemiology , Stress, Psychological/epidemiology , Young Adult
4.
Sleep Med ; 2021 Jan 18.
Article in English | MEDLINE | ID: covidwho-1065597

ABSTRACT

OBJECTIVE: Rapidly increasing numbers of confirmed cases and deaths during the 2019 coronavirus disease outbreak (COVID-19) resulted in widespread psychological problems in the Chinese population. The purpose of this study was to investigate the sleep quality and changes in sleep patterns before and during the outbreak in the general population in China and to determine factors related to sleep quality. METHODS: This cross-sectional study was conducted using an online questionnaire from 20 February to 29 February 2020 in China. Socio-demographic data, self-designed COVID-19-related characteristics, sleep patterns, and Pittsburgh Sleep Quality Index (PSQI) scores were obtained. Single factor analysis and multivariate binary logistic regression analysis were used. RESULTS: A total of 1897 individuals were included in our study, and 30.0% of participants reported suffering poor sleep quality (PSQI≥8). Logistic regression analysis found that the factors related to sleep quality included poor physical health (OR = 3.382, p < 0.001), respiratory disease (OR = 1.629, p = 0.008), other diseases (OR = 2.504, p = 0.012), suspected case of COVID-19 in the same community (OR = 1.928, p = 0.002), confirmed case of COVID-19 in the same community (OR = 2.183, p = 0.007), worry about being infected (OR = 2.336, p < 0.001), ≥1 h/day spent hearing COVID-19 information (OR = 1.960, p < 0.001), time difference in midpoint time in bed (OR = 1.230, p < 0.001), and time difference in time in bed (OR = 0.711, p < 0.001). CONCLUSIONS: Our study revealed that more than one-fourth of the participants suffered poor sleep quality during the COVID-19 outbreak. In addition to the poor health status and COVID-19-related anxiety, delayed sleep phase and reduced time in bed impacted sleep quality in the general population in China.

5.
Frontiers in Neuroscience ; 2021.
Article | ProQuest Central | ID: covidwho-1044856

ABSTRACT

Objective: In the current global home confinement due to COVID-19, most individuals are facing unprecedented stress which can induce situational insomnia. We explored the efficacy of self-guided online Cognitive Behavioral Treatment for Insomnia (CBTI) on situational insomnia during COVID-19. Methods: Participants were recruited from March to April in 2020 in Guangzhou, China. A one-week Internet CBTI intervention was performed for all individuals with situational insomnia. Pre-Sleep Arousal Scale (PSAS), Insomnia Severity Index (ISI) and Hospital Anxiety and Depression Scale (HADS) were measured before and after the intervention and compared between individuals who completed and those who didn’t. Results: One-hundred and ninety four patients with situational insomnia were included. For PSAS score, significant group effects were found on total score (p = 0.003), somatic score (p = 0.014) and cognitive score (p = 0.009). Time effect was significant on total score (p = 0.004) and cognitive score (p < 0.001). There was a significant group × time effect of the somatic score (p = 0.025). For ISI total score, there were significant time effect (p < 0.001) and group × time effect (p = 0.024). For the HAD score, a significant group effect was found on the anxiety score (p = 0.045). The HAD scales were all found significant time effects for the total score, anxiety, and depressive symptoms (all p < 0.001). Conclusion: Our study suggests well efficacy of CBTI on situational insomnia during COVID-19 for adults in the community, as well as on pre-sleep somatic hyperarousal symptom.

6.
Applied Surface Science ; : 149064, 2021.
Article | ScienceDirect | ID: covidwho-1039276

ABSTRACT

The COVID-19 outbreak begin in winter in 2020, and there is a shortage of cryogenic batteries for thermometers. Herein, an effective strategy is designed to improve the electrochemical performance of Co3O4 nanoflowers, so as to solve the dilemma that the energy storage device cannot work normally due to too low temperature. Note that the incorporation of point defects (oxygen vacancies) into the primitive lattice of Co3O4 nanoflowers provide additional electrochemical active sites and greatly shorten the ion diffusion distance. The defect-type Co3O4 (D-Co3O4) nanoflowers exhibit enhance specific capacitance of 1630 mF cm-2 at 1 mA cm-2 and conspicuous cycle stability of 91% up to 5000 cycles, as well as outstanding low temperature performance. The assemble symmetrical supercapacitor (SSC, D-Co3O4;;D-Co3O4) device offer a wider voltage window of 1.4 V and obtain the maximum volume energy density of 0.94 mW h cm-3 and the power density of 3.5 mW cm-3. Meanwhile, the D-Co3O4 nanoflowers has good electrocatalytic activity in basic solution for oxygen evolution reaction (OER), and display the lowest initial potential and small overpotential. Therefore, this work highlights the role of the design defects of materials for building di-functional electrode materials for energy storage and conversion.

7.
Curr Probl Cardiol ; 46(3): 100693, 2021 Mar.
Article in English | MEDLINE | ID: covidwho-841119

ABSTRACT

Coronavirus disease 2019 (COVID-19) pandemic poses great challenge on public health globally. To clarify the impact of COVID-19 pandemic on in-hospital management and outcomes for ST-segment elevation myocardial infarction (STEMI) patients in the nonepicenter. We enrolled consecutive STEMI patients who visited Fuwai Hospital from January to March, 2020 (N = 73) and also established a historical control including all consecutive STEMI patients in the same period of 2019 (N = 95). The primary outcome was defined as a composite endpoint of all-cause death, heart failure, cardiac shock, and cardiac arrest during hospitalization. Emergency response for COVID-19 resulted in a significant 77.6% reduction in the number of primary percutaneous coronary intervention, and a trend toward higher rate of primary composite endpoint (15.1% vs 11.6%, P = 0.51). COVID-19 pandemic results in a significant reduction in emergent reperfusion therapy, and a trend toward higher in-hospital adverse events risk.


Subject(s)
COVID-19/epidemiology , Pandemics , Percutaneous Coronary Intervention/methods , Public Health , ST Elevation Myocardial Infarction/surgery , Beijing/epidemiology , Comorbidity , Coronary Angiography , Humans , SARS-CoV-2 , ST Elevation Myocardial Infarction/diagnosis , ST Elevation Myocardial Infarction/epidemiology , Time-to-Treatment
8.
Preprint | SSRN | ID: ppcovidwho-532

ABSTRACT

Background: The outbreak of 2019 novel coronavirus disease (COVID-19) caused not only extraordinary public health concerns but also tremendous psychological dis

9.
Interdiscip Sci ; 12(4): 555-565, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-778130

ABSTRACT

The novel coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a major pandemic outbreak recently. Various diagnostic technologies have been under active development. The novel coronavirus disease (COVID-19) may induce pulmonary failures, and chest X-ray imaging becomes one of the major confirmed diagnostic technologies. The very limited number of publicly available samples has rendered the training of the deep neural networks unstable and inaccurate. This study proposed a two-step transfer learning pipeline and a deep residual network framework COVID19XrayNet for the COVID-19 detection problem based on chest X-ray images. COVID19XrayNet firstly tunes the transferred model on a large dataset of chest X-ray images, which is further tuned using a small dataset of annotated chest X-ray images. The final model achieved 0.9108 accuracy. The experimental data also suggested that the model may be improved with more training samples being released. COVID19XrayNet, a two-step transfer learning framework designed for biomedical images.


Subject(s)
Clinical Laboratory Techniques/methods , Coronavirus Infections/diagnosis , Deep Learning , Lung/diagnostic imaging , Models, Biological , Neural Networks, Computer , Pneumonia, Viral/diagnosis , X-Rays , Algorithms , Betacoronavirus , COVID-19 , COVID-19 Testing , Coronavirus , Coronavirus Infections/complications , Coronavirus Infections/diagnostic imaging , Coronavirus Infections/virology , Databases, Factual , Datasets as Topic , Humans , Machine Learning , Pandemics , Pneumonia/diagnosis , Pneumonia/diagnostic imaging , Pneumonia/etiology , Pneumonia/virology , Pneumonia, Viral/complications , Pneumonia, Viral/diagnostic imaging , Pneumonia, Viral/virology , Radiography/methods , Reference Values , SARS-CoV-2 , Tomography, X-Ray Computed/methods
10.
Catheter Cardiovasc Interv ; 97(4): E475-E483, 2021 03.
Article in English | MEDLINE | ID: covidwho-684468

ABSTRACT

BACKGROUND: During coronavirus disease 2019 (COVID-19) epidemic, reducing the number of invasive procedure and choosing conservative medication strategy for patients with non-ST-segment elevation myocardial infarction (NSTEMI) is unavoidable. Whether this relatively conservative strategy will impact in-hospital outcome for NSTEMI patients remains unclear. METHODS AND RESULTS: The current study included all consecutive NSTEMI patients who visited the emergency department in Fuwai Hospital from February 1 to March 31, 2020 and all the NSTEMI patients in the same period of 2019 as a historical control. Very-high-risk patients were defined as clinical presentation of heart failure, cardiac shock, cardiac arrest, recurrent chest pain, and life-threatening arrhythmias. The primary outcome was in-hospital major adverse cardiac events (MACE), defined as a composite of all-cause death, recurrent myocardial infarction, or heart failure. A total of 115 NSTEMI patients were enrolled since the outbreak of COVID-19, and a total of 145 patients were included in the control group. There was a tendency toward higher MACE risk in 2020 compared with 2019 (18.3% vs. 11.7%, p = .14). Among very-high-risk patients, early percutaneous coronary intervention (PCI) strategy in 2019 was associated with reduced MACE risk compared with delayed PCI in 2020 (60.6% [20/33] in 2020 vs. 27.9% [12/43] in 2019, p = .01). CONCLUSIONS: COVID-19 pandemic results in a significant reduction in immediate/early PCI and a trend toward higher adverse event rate during hospitalization, particular in very-high-risk patients.


Subject(s)
COVID-19 , Cardiology Service, Hospital/trends , Cardiovascular Agents/therapeutic use , Coronary Artery Bypass/trends , Emergency Service, Hospital/trends , Non-ST Elevated Myocardial Infarction/therapy , Percutaneous Coronary Intervention/trends , Public Health/trends , Aged , Beijing , Cardiovascular Agents/adverse effects , Coronary Artery Bypass/adverse effects , Coronary Artery Bypass/mortality , Female , Heart Failure/etiology , Hospital Mortality/trends , Humans , Male , Middle Aged , Non-ST Elevated Myocardial Infarction/complications , Non-ST Elevated Myocardial Infarction/diagnosis , Non-ST Elevated Myocardial Infarction/mortality , Percutaneous Coronary Intervention/adverse effects , Percutaneous Coronary Intervention/mortality , Recurrence , Retrospective Studies , Risk Assessment , Risk Factors , Time Factors , Treatment Outcome
11.
Front Psychiatry ; 11: 306, 2020.
Article in English | MEDLINE | ID: covidwho-151710

ABSTRACT

Objective: The outbreak of the 2019 novel coronavirus disease (COVID-19) not only caused particularly large public health problems, but also caused great psychological distress, especially for medical staff. We aimed to investigate the prevalence rate of insomnia and to confirm the related social psychological factors among medical staff in hospitals during the COVID-19 outbreak. Method: Medical staff members in China were recruited, including frontline medical workers. The questionnaire, administered through the WeChat program, obtained demographic data and asked self-design questions related to the COVID-19 outbreak, insomnia/depressive/anxiety symptoms, and stress-related symptoms. We used a logistic regression analysis to examine the associations between sociodemographic factors and insomnia symptoms. Result: There were a total of 1,563 participants in our study. Five-hundred-and-sixty-four (36.1%) participants had insomnia symptoms according to the Insomnia Severity Index (ISI) (total score ≥ 8). A multiple binary logistic regression model revealed that insomnia symptoms were associated with an education level of high school or below (OR = 2.69, p = 0.042, 95% CI = 1.0-7.0), being a doctor (OR = 0.44, p = 0.007, 95% CI = 0.2-0.8), currently working in an isolation unit (OR = 1.71, p = 0.038, 95% CI = 1.0-2.8), is worried about being infected (OR = 2.30, p < 0.001, 95% CI = 1.6-3.4), perceived lack of helpfulness in terms of psychological support from news or social media with regard to COVID-19 (OR = 2.10, p = 0.001, 95% CI = 1.3-3.3), and having very strong uncertainty regarding effective disease control (OR = 3.30, p = 0.013, 95% CI = 1.3-8.5). Conclusion: Our study found that more than one-third of the medical staff suffered insomnia symptoms during the COVID-19 outbreak. The related factors included education level, an isolation environment, psychological worries about the COVID-19 outbreak, and being a doctor. Interventions for insomnia among medical staff are needed considering the various sociopsychological factors at play in this situation.

12.
Acta Pharm Sin B ; 10(7): 1205-1215, 2020 Jul.
Article in English | MEDLINE | ID: covidwho-88716

ABSTRACT

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection can cause acute respiratory distress syndrome, hypercoagulability, hypertension, and multiorgan dysfunction. Effective antivirals with safe clinical profile are urgently needed to improve the overall prognosis. In an analysis of a randomly collected cohort of 124 patients with COVID-19, we found that hypercoagulability as indicated by elevated concentrations of D-dimers was associated with disease severity. By virtual screening of a U.S. FDA approved drug library, we identified an anticoagulation agent dipyridamole (DIP) in silico, which suppressed SARS-CoV-2 replication in vitro. In a proof-of-concept trial involving 31 patients with COVID-19, DIP supplementation was associated with significantly decreased concentrations of D-dimers (P < 0.05), increased lymphocyte and platelet recovery in the circulation, and markedly improved clinical outcomes in comparison to the control patients. In particular, all 8 of the DIP-treated severely ill patients showed remarkable improvement: 7 patients (87.5%) achieved clinical cure and were discharged from the hospitals while the remaining 1 patient (12.5%) was in clinical remission.

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