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1.
EuropePMC; 2022.
Preprint in English | EuropePMC | ID: ppcovidwho-331571

ABSTRACT

Coronavirus Disease-2019 (COVID-19) is an emerging acute infectious disease around the world. Therefore, it is crucial to identify the risk factors of in-hospital mortality and disease severity for COVID-19 patients. We firstly proposed a biomarker ratio, lactate dehydrogenase to albumin ratio (LAR) may be more reliable to assess the predictive value of LAR for in-hospital mortality and early identification of critical COVID-19 patients. A retrospective study was conducted including patients (≥18 years old) with laboratory-confirmed COVID-19 infection who had been discharged or had died from 1 February to 29 February, 2020. The study included 321 patients and the median age of the 321 patients was 63.0 (IQR 51.0-70.0), ranging from 19 to 95 years old and 180 (56.1%) patients were male. 142 (44.2%) patients had 1 or more coexisting comorbidity. The most common symptoms on admission were fever(289[90%]) and cough(258[80.4%]). In multivariable logistic regression, only older age (OR, 1.11;95% CI, 1.05-1.16), WBC count (OR, 1.26;95% CI, 1.11-1.44), lymphocyte count (OR, 0.78;95% CI, 0.62-0.99) and LAR (OR, 1.29;95% CI, 1.18-1.40) were found to be significantly associated with in-hospital death. ROC analysis showed that LAR had a higher AUC (0.917) and the highest specificity(84.0%) and sensitivity(84.6%). Furthermore, the results showed that LAR had a higher AUC (0.931) to differentiate critical from mild patients and had a sensitivity of 87.7% and a specificity of 82.1%. Besides, LAR had an AUC (0.861) to differentiate critical from severe patients and had a sensitivity of 86.0% and a specificity of 73.8% and the role of LAR to distinguish severe from mild patients was the worst. To the best of our knowledge, a high LAR appears to predict higher odds of mortality and differentiate critical patients from mild or severe COVID-19 patients.

2.
Bioinformatics ; 2022 Mar 25.
Article in English | MEDLINE | ID: covidwho-1764501

ABSTRACT

MOTIVATION: Detection and identification of viruses and microorganisms in sequencing data plays an important role in pathogen diagnosis and research. However, existing tools for this problem often suffer from high runtimes and memory consumption. RESULTS: We present RabbitV, a tool for rapid detection of viruses and microorganisms in Illumina sequencing datasets based on fast identification of unique k-mers. It can exploit the power of modern multi-core CPUs by using multi-threading, vectorization, and fast data parsing. Experiments show that RabbitV outperforms fastv by a factor of at least 42.5 and 14.4 in unique k-mer generation (RabbitUniq) and pathogen identification (RabbitV), respectively. Furthermore, RabbitV is able to detect COVID-19 from 40 samples of sequencing data (255GB in FASTQ format) in only 320 seconds. AVAILABILITY: RabbitUniq and RabbitV are available at https://github.com/RabbitBio/RabbitUniq and https://github.com/RabbitBio/RabbitV. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

3.
PLoS ONE Vol 16(5), 2021, ArtID e0250770 ; 16(5), 2021.
Article in English | APA PsycInfo | ID: covidwho-1756155

ABSTRACT

Background & aim: The coronavirus disease 2019 (COVID-19) pandemic has affected the life and work of people worldwide. The present study aimed to evaluate the rhythm disruptions of life, work, and entertainment, and their associations with the psychological impacts during the initial phase of the COVID-19 pandemic. Method: A cross-sectional study was conducted from the 10th to 17th March 2020 in China. A structured e-questionnaire containing general information, the Chinese version of Brief Social Rhythm Scale, and Zung's self-rating scales of depression and anxiety (SDS and SAS) was posted and collected online through a public media (i.e. EQxiu online questionnaire platform). Scores in sleeping, getting up, and socializing (SGS) rhythm and eating, physical practice, and entertainment (EPE) rhythm were compared among and between participants with different sociodemographic backgrounds including gender, age, education, current occupation, annual income, health status, and chronic disease status. Correlations of SDS and SAS with SGS-scale and EPE-scale were also analyzed. Results: Overall, 5854 participants were included. There were significant differences in the scores of SGS-scale and EPE-scale among people with different sociodemographic backgrounds. The scores were significantly higher in the groups with female gender, low education level, lower or higher than average income, poor health status, ages of 26-30 years or older than 61 years, nurses and subjects with divorce or widow status. There were also significant differences in SAS and SDS scores among people with different sociodemographic backgrounds (all P< 0.05). The overall prevalence of depression and anxiety was 24.3% and 12.6%, respectively, with nurses having the highest rates of depression (32.94%) and anxiety (18.98%) among the different occupational groups. SGS-scale was moderately correlated with SDS and SAS, and disruption of SGS rhythm was an independent risk factor for depression and anxiety. Conclusion: Social rhythm disruption was independently associated with depression and anxiety. Interventions should be applied to people vulnerable to the rhythm disruption during the COVID-19 pandemic. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

4.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-325137

ABSTRACT

Background: Currently, coronavirus disease-2019 (COVID-19) is continuously and rapidly circulating, resulting in serious and extensive impact on human health. Due to the absence of antiviral medicine for COVID-19 thus far, it is desperately need to develop the effective medicine. Traditional Chinese medicine (TCM) has been widely applied in the treatment of epidemic diseases in China, hoping to produce clinical efficacy and decrease the use of antibiotics and glucocorticoid. The aim of this study is to evaluate the efficacy and safety of Baidu Jieduan granule in curing COVID-19. Methods: /design: This multicenter, open-label randomized controlled trial is conducted 300 cases with COVID-19. The patients will be randomly (1:1) divided into treatment group or control group. All cases will receive standard therapy at the same time. The experiment group will receive Baidu Jieduan granule treatment twice a day for 14 days. The outcomes are assessed at baseline and at 3, 5, 7, 14 days after treatment initiation. The primary outcome is the rate of symptom (fever, fatigue, and coughing) recovery. Adverse events (AEs) will be monitored throughout the trial. Discussion: The study will provide a high-quality clinical evidence to support the efficacy and safety of Baidu Jieduan granule in treatment of moderate COVID-19, and also enrich the theory and practice of TCM in treating COVID-19. Trial registration : Chinese Clinical Trial Registry, ChiCTR2000029869. Registered on 15 February 2020

5.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-324486

ABSTRACT

BACKGROUND and OBJECTIVE The rhythms of life, work and entertainment behaviours are considered as the external behavioural manifestations of biological rhythm.To evaluate the distinctive disrupted rhythms of behaviours and their associations with mental health problems in people with different backgrounds under the stress of COVID-19 epidemic. SUBJECTS AND METHODS A cross-sectional study was conducted from 10-17 March 2020 under the stress of COVID-19 epidemic.A structured e-questionnaire containing general information,rhythm scale(subscale1 for life-work rhythms and subscale2 for entertainment rhythm) and Zung's self-rating depression and anxiety scale(SDS and SAS) were filled and the data were analysed. RESULTS Overall 5854 participants were included.Significant differences were found in rhythm, SDS and SAS scores among people with different backgrounds (all P <0.05). Subjects with female gender and poor health status were mostly suffered from disrupted rhythms of life- work-entertainment behaviours, combined with depression and anxiety. Nurses and subjects being divorced or with chronic disease with psychosomatic diseases were mostly suffered from disrupted rhythms of life-work behaviours, combined with depression and anxiety. Subjects with aged 26-30 years, or annual income of 50,000-100,000CY were mostly suffered from disrupted rhythms of life-work combined with depression. Subjects with income over 300,000CY were mostly suffered from disrupted rhythm of entertainment combined with anxiety.The prevalence rates of depression and anxiety in people with the high-scores of rhythm disruption increased by 34.50% and 47.16%, respectively, compared with those with low-scores.People with the high-scores of rhythm disruption had higher SDS and SAS scores, compared to those with low scores (all P <0.001). The independent related factors of disrupted rhythms included gender,age,marital status, health status,annual income and chronic diseases with psychosomatic diseases using logistic regression.The disrupted rhythms of life and work behaviours was positively correlated with both SDS and SAS scores. CONCLUSIONS The disrupted rhythms of life, work and entertainment behaviours were closely associated with mental health problems.The disrupted rhythms of behaviours are frequent and fluxible,triggering more severe mental health problems under the stress of COVID-19 epidemic.The physicians should be aware of their importance when evaluating their interviewees or patients’ mental health and achieving maximization of therapeutic efficacy by integrating the intervention of circadian rhythm and its behaviour.

6.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-315632

ABSTRACT

Background: Coronavirus Disease-2019 (COVID-19) is an emerging acute infectious disease that was first discovered in Wuhan, Hubei Province, China. Since then, it has quickly spread to over one hundred cities around the world. Therefore, it is crucial to identify the risk factors of in-hospital mortality and disease severity for COVID-19 patients. MethodsWe firstly proposed a biomarker ratio, lactate dehydrogenase(LDH) to albumin ratio (LAR) may be more reliable to assess the predictive value of LAR for in-hospital mortality and early identification of critical COVID-19 patients. A retrospective study was conducted including patients (≥18 years old) with laboratory-confirmed COVID-19 infection who had been discharged or had died from 1 February to 29 February, 2020. ResultsThe study included 321 patients with COVID-19. The median age of the 321 patients was 63.0 (IQR 51.0-70.0), ranging from 19 to 95 years old and 180 (56.1%) patients were male. 142 (44.2%) patients had 1 or more coexisting comorbidity. The most common symptoms on admission were fever(289[90%]) and cough(258[80.4%]). In multivariable logistic regression, only older age (OR, 1.11;95% CI, 1.05-1.16), WBC count (OR, 1.26;95% CI, 1.11-1.44), lymphocyte count (OR, 0.78;95% CI, 0.62-0.99) and LAR (OR, 1.29;95% CI, 1.18-1.40) were found to be significantly associated with in-hospital death. ROC analysis showed that LAR had a higher AUC (0.917) and the highest specificity(84.0%) and sensitivity(84.6%). Furthermore, the results showed that LAR had a higher AUC (0.931) to differentiate critical from mild patients and had a sensitivity of 87.7% and a specificity of 82.1%. Besides, LAR had an AUC (0.861) to differentiate critical from severe patients and had a sensitivity of 86.0% and a specificity of 73.8% and the role of LAR to distinguish severe from mild patients was the worst. ConclusionsTo the best of our knowledge, this study is the first for us to explore the predictive value of LAR for in-hospital mortality and disease severity. A high LAR appears to predict higher odds of mortality and differentiate critical patients from mild or severe COVID-19 patients.

7.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-308326

ABSTRACT

Background: Since December 2019, an increasing number of SARS-CoV-2 infected pneumonia cases have been identified in Wuhan and its surrounding areas. As of March 2020 more than 150 countries, areas or territories have reported the infected cases of SARS-CoV-2 and still the infected number is rapidly increasing globally. Methods The whole outbreak period in Shaanxi Province (from Jan 23, 2020 to Feb 20, 2020) was split into two consecutive stages. Epidemiological feature like exposure-history type and characteristics of the confirmed SARS-CoV-2 infected patients in Shaanxi Province were analyzed. Results A total of 245 patients were confirmed with SARS-CoV-2 infection in Shaanxi Province, among whom 133 (54.29%) were male and 112 (45.71%) were female. The percentage of the imported cases dropped from 53.94% in earlier stage (Jan 23-Feb 5, 2020) to 16.25% in second stage (Feb 6-Feb 20, 2020) while that of cases with no definite exposure history and other types increased from 27.88–70.00%. Conclusions As control measures were taken in earlier stage much less cases were confirmed in second stage. Our study contributes to the understanding of SARS-CoV-2 epidemiology and helps evaluate the effectiveness of control measures on local transmission.

8.
J Clin Invest ; 132(4)2022 02 15.
Article in English | MEDLINE | ID: covidwho-1685790

ABSTRACT

Infection with SARS-CoV-2, the causative agent of COVID-19, causes mild to moderate disease in most patients but carries a risk of morbidity and mortality. Seriously affected individuals manifest disorders of hemostasis and a cytokine storm, but it is not understood how these manifestations of severe COVID-19 are linked. Here, we showed that the SARS-CoV-2 spike protein engaged the CD42b receptor to activate platelets via 2 distinct signaling pathways and promoted platelet-monocyte communication through the engagement of P selectin/PGSL-1 and CD40L/CD40, which led to proinflammatory cytokine production by monocytes. These results explain why hypercoagulation, monocyte activation, and a cytokine storm are correlated in patients severely affected by COVID-19 and suggest a potential target for therapeutic intervention.


Subject(s)
Blood Platelets/physiology , COVID-19/blood , Inflammation/blood , Monocytes/metabolism , SARS-CoV-2 , Spike Glycoprotein, Coronavirus/physiology , Blood Platelets/metabolism , CD40 Antigens/blood , CD40 Ligand/blood , Cell Communication , Cytokine Release Syndrome , Cytokines , HEK293 Cells , Humans , P-Selectin/blood
9.
Cell ; 185(6): 1008-1024.e15, 2022 03 17.
Article in English | MEDLINE | ID: covidwho-1664732

ABSTRACT

Vaccine-mediated immunity often relies on the generation of protective antibodies and memory B cells, which commonly stem from germinal center (GC) reactions. An in-depth comparison of the GC responses elicited by SARS-CoV-2 mRNA vaccines in healthy and immunocompromised individuals has not yet been performed due to the challenge of directly probing human lymph nodes. Herein, through a fine-needle aspiration-based approach, we profiled the immune responses to SARS-CoV-2 mRNA vaccines in lymph nodes of healthy individuals and kidney transplant recipients (KTXs). We found that, unlike healthy subjects, KTXs presented deeply blunted SARS-CoV-2-specific GC B cell responses coupled with severely hindered T follicular helper cell, SARS-CoV-2 receptor binding domain-specific memory B cell, and neutralizing antibody responses. KTXs also displayed reduced SARS-CoV-2-specific CD4 and CD8 T cell frequencies. Broadly, these data indicate impaired GC-derived immunity in immunocompromised individuals and suggest a GC origin for certain humoral and memory B cell responses following mRNA vaccination.

10.
Jpn J Infect Dis ; 74(4): 359-366, 2021 Jul 21.
Article in English | MEDLINE | ID: covidwho-1380104

ABSTRACT

This study aimed to develop and validate a bedside risk analysis system for predicting the clinical severity and prognosis of patients with coronavirus disease 2019 (COVID-19). In total, 444 COVID-19 patients were included and randomly assigned in a 2:1 ratio to 2 groups: derivation group and validation group. The new scoring system comprised of the following 8 variables: history of malignant diseases, history of diabetes mellitus, dyspnea, respiratory rate >24 breaths/min, C-reactive protein level >14 mg/L, white blood cell count >8×109/L, platelets count <180 × 1012/L, and lymphocyte count <1 × 109/L. The sensitivity analysis revealed that this new scoring system was more efficient than the sequential organ failure assessment scoring system on the first day of admission. The receiver characteristic curve analysis revealed that the new risk scoring predicted the severe cases of COVID-19 infection with an area under the curve of 0.831 (95% confidence interval [CI]: 0.783-0.879) and 0.798 (95% CI: 0.727-0.869) in the derivation and validation groups, respectively. This proposed risk score system is a fairly reliable and robust tool for evaluating the severity and prognosis of patients with COVID-19. This may help in the early identification of severe COVID-19 patients with poor prognosis, requiring more intense interventions.


Subject(s)
COVID-19/pathology , COVID-19/virology , Risk Assessment/methods , Aged , Female , Hospitalization , Humans , Male , Middle Aged , Prognosis , Retrospective Studies , Risk Factors , Severity of Illness Index
11.
Trials ; 22(1): 476, 2021 Jul 22.
Article in English | MEDLINE | ID: covidwho-1322945

ABSTRACT

BACKGROUND: Currently, coronavirus disease-2019 (COVID-19) is continuously and rapidly circulating, resulting in serious and extensive effects on human health. Due to the absence of antiviral medicine for COVID-19 thus far, there is a desperate need to develop effective medicine. Traditional Chinese medicine (TCM) has been widely applied in the treatment of epidemic diseases in China, with the aim of achieving clinical efficacy and decreasing the use of antibiotics and glucocorticoids. The aim of this study was to evaluate the efficacy and safety of Baidu Jieduan granules in treating COVID-19. METHODS/DESIGN: This multicentre, open-label, randomized controlled trial will be conducted in 300 patients with COVID-19. The patients will be randomly (1:1) divided into a treatment group and a control group. All patients will receive standard therapy at the same time. Patients in the experimental group will receive Baidu Jieduan granule treatment twice a day for 14 days. The outcomes will be assessed at baseline and at 3, 5, 7 and 14 days after treatment initiation. The primary outcome will be the rate of symptom (fever, fatigue and coughing) recovery. Adverse events (AEs) will be monitored throughout the trial. DISCUSSION: The study will provide high-quality clinical evidence to support the efficacy and safety of Baidu Jieduan granules in the treatment of moderate COVID-19, and enrich the theory and practice of TCM in treating COVID-19. TRIAL REGISTRATION: Chinese Clinical Trial Registry ChiCTR2000029869 . Registered on 15 February 2020.


Subject(s)
COVID-19 , Medicine, Chinese Traditional , Antiviral Agents/therapeutic use , China , Humans , Multicenter Studies as Topic , Randomized Controlled Trials as Topic , SARS-CoV-2 , Treatment Outcome
12.
Phytomedicine ; 89: 153612, 2021 Aug.
Article in English | MEDLINE | ID: covidwho-1253470

ABSTRACT

BACKGROUND: Coronavirus disease 2019 (COVID-19) is still a pandemic, with a high mortality rate in severe/critical cases. Therapies based on the Shenghuang Granule have proved helpful in viral infection and septic shock. HYPOTHESIS/PURPOSE: The objective of the current study was to compare the efficacy and safety of the traditional Chinese medicine, Shenhuang Granule, with standard care in hospitalized patients with severe/critical COVID-19. STUDY DESIGN AND METHODS: This was an open-label, multicenter, randomized, controlled clinical trial. At 4 medical centers, a total of 111 severe/critical patients were randomly assigned to receive Shenhuang Granule (SHG group) twice a day for 14 days, in addition to standard care, or to receive standard care alone (Control group). The maximal follow up time was 75 days. The clinical endpoint was clinical improvement and mortality. RESULTS: 54 patients were assigned to the control group and 57 to the SHG group. The overall mortality was 75.9% (41/54) in the control group, and 38.6% (22/57) in the SHG group (p < 0.01 vs. control). The post hoc analysis showed that in the severe category, the mortality of the control group vs. the SHG group was 58.8% (10/17) vs. 5.3% (1/19) (p < 0.01); while in the critical category, it was 83.8% (31/37) vs. 55.3% (21/38) (p < 0.05). In the severe category, the mortality of patients who eventually received an invasive ventilator in the control vs. the SHG group was 58.8% (10/17) vs. 0 (0/19) (p < 0.01). Administration of SHG was associated with increased lymphocytes and decreased adverse events. CONCLUSION: Shenhuang Granule is a promising integrative therapy for severe and critical COVID-19.


Subject(s)
COVID-19 , Drugs, Chinese Herbal/therapeutic use , Medicine, Chinese Traditional , COVID-19/drug therapy , COVID-19/mortality , Critical Illness , Humans , Pandemics , Treatment Outcome
13.
Int J Soc Psychiatry ; 68(3): 628-638, 2022 May.
Article in English | MEDLINE | ID: covidwho-1072870

ABSTRACT

AIMS: To investigate the differences in disrupted rhythms between healthy people and patients with functional gastrointestinal disorders (FGIDs) and their associations with mood disorders during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: The rhythm scales were composed of subscales 1 and 2 for the assessment of life-work and entertainment rhythms, respectively; Zung's Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) were used to assess mood disorders. RESULTS: A total of 671 patients with FGIDs and 4373 healthy people successfully participated. The scores of subscales 1 and 2 for patients with FGIDs were significantly higher than those for healthy people (p < .005). The SAS and SDS scores, their prevalence rates were significantly higher than those for the healthy group (all p < .001). Health status, current occupation, life-work rhythm, SDS, and SAS were independent related factors of FGIDs. The score of life-work-entertainment rhythm was significantly positively correlated with SDS and SAS (both p < .001). CONCLUSION: Disrupted rhythms in patients with FGIDs under the COVID-19 pandemic were more frequently and significantly positively associated with mood disorders.


Subject(s)
COVID-19 , Anxiety/epidemiology , Anxiety/psychology , COVID-19/epidemiology , Depression/epidemiology , Health Status , Humans , Pandemics
14.
Nurs Outlook ; 69(1): 6-12, 2021.
Article in English | MEDLINE | ID: covidwho-1065514

ABSTRACT

BACKGROUND: During an epidemic of a novel infectious disease, frontline nurses suffer from unprecedented psychological stress. This study aimed to assess the immediate psychological impact on frontline nurses in China. METHODS: A multicenter, cross-sectional survey of frontline nurses was conducted via online questionnaires. Symptoms of depression, anxiety, somatic disorders, and suicidal ideation were evaluated. Demographic, stress, and support variables were entered into logistic regression analysis to identify the impact factors. FINDINGS: Of the 4,692 nurses who completed the survey, 9.4% (n = 442) were considered to have depressive symptoms, 8.1% (n = 379) represented anxiety, and 42.7% (n = 2,005) had somatic symptom. About 6.5% (n = 306) respondents had suicidal ideation. DISCUSSION: The study showed that the overall mental health of frontline nurses was generally poor during COVID-19 outbreak, and several impact factors associated with nurses' psychological health were identified. Further research is needed to ascertain whether training and support strategies are indeed able to mitigate psychological morbidities.


Subject(s)
Anxiety/epidemiology , COVID-19/epidemiology , Depression/epidemiology , Disease Outbreaks , Nursing Staff, Hospital/psychology , Somatoform Disorders/epidemiology , Suicidal Ideation , Adult , China/epidemiology , Cross-Sectional Studies , Female , Hospitals, Public , Humans , Male , Nursing Staff, Hospital/statistics & numerical data , Surveys and Questionnaires , Young Adult
15.
Front Pharmacol ; 11: 600592, 2020.
Article in English | MEDLINE | ID: covidwho-1024518

ABSTRACT

Background: D-dimer is a small protein fragment and high levels of D-dimer have been associated with increased mortality in patients presenting to emergency departments with infection. Previous studies have reported increased levels of D-dimer in COVID-19; however, it is unclear whether an increased D-dimer level provides early warning of poor prognosis. Therefore, this study aimed to assess the usefulness of D-dimer as an early indicator of prognosis in patients with coronavirus disease (COVID-19). Methods: We conducted a retrospective study of patients with COVID-19 admitted to Leishenshan Hospital in Wuhan, China, from February 15 to March 30, 2020. The final date of follow-up was April 11, 2020. Results: Of the 1,643 patients with COVID-19, 691 had elevated D-dimer levels. Their median age was 65 years. Of the patients with elevated D-dimer levels, 45% had comorbidities, with cardiovascular disease (205 [29.7%]) being the most common. Patients with elevated D-dimer were more likely to require treatment with high-flow oxygen, anticoagulation, antibiotics, and admission to the intensive care unit They were also more likely to have increased interleukin-6, monocytes, and lymphocytes. Patients with elevated D-dimer levels had significantly higher mortality than those with normal or low D-dimer levels. Conclusion: In patients with COVID-19, elevated D-dimer was associated with abnormal immunity, underlying disease, increased disease severity, and increased mortality. Taken together, D-dimer may be a marker for the early warning of disease severity and increased risk of death. These findings provide insights into the potential risk of elevated D-dimer in patients with COVID-19.

16.
Psychiatry Res ; 296: 113654, 2021 02.
Article in English | MEDLINE | ID: covidwho-997443

ABSTRACT

The COVID-19 pandemic put global medical systems under massive pressure for its uncertainty, severity, and persistence. For detecting the prevalence of suicidal and self-harm ideation (SSI) and its related risk factors among hospital staff during the COVID-19 pandemic, this cross-sectional study collected the sociodemographic data, epidemic-related information, the psychological status and need, and perceived stress and support from 11507 staff in 46 hospitals by an online survey from February 14 to March 2, 2020. The prevalence of SSI was 6.47%. Hospital staff with SSI had high family members or relatives infected number and the self-rated probability of infection. Additionally, they had more perceived stress, psychological need, and psychological impact. On the contrary, hospital staff without SSI reported high self-rated health, willingness to work in a COVID-19 ward, confidence in defeating COVID-19, and perceived support. Furthermore, they reported better marital or family relationship, longer sleep hours, and shorter work hours. The infection of family members or relatives, poor marital status, poor self-rated health, the current need for psychological intervention, perceived high stress, perceived low support, depression, and anxiety were independent factors to SSI. A systematic psychological intervention strategy during a public health crisis was needed for the hospital staff's mental well-being.


Subject(s)
Anxiety Disorders/epidemiology , COVID-19/epidemiology , Depressive Disorder/epidemiology , Personnel, Hospital/statistics & numerical data , Self-Injurious Behavior/epidemiology , Suicidal Ideation , Adult , Anxiety Disorders/psychology , COVID-19/psychology , China , Cross-Sectional Studies , Depressive Disorder/psychology , Female , Humans , Incidence , Male , Personnel, Hospital/psychology , Self-Injurious Behavior/psychology , Uncertainty , Young Adult
17.
SSRN; 2020.
Preprint | SSRN | ID: ppcovidwho-785

ABSTRACT

Background: In December 2019, 2019-nCoV appeared in Wuhan, China. Some of these cases led to death. Here, we describe the epidemiologic and clinical characteri

18.
Front Cell Dev Biol ; 8: 683, 2020.
Article in English | MEDLINE | ID: covidwho-723529

ABSTRACT

The recent outbreak of the coronavirus disease-2019 (COVID-19) caused serious challenges to the human society in China and across the world. COVID-19 induced pneumonia in human hosts and carried a highly inter-person contagiousness. The COVID-19 patients may carry severe symptoms, and some of them may even die of major organ failures. This study utilized the machine learning algorithms to build the COVID-19 severeness detection model. Support vector machine (SVM) demonstrated a promising detection accuracy after 32 features were detected to be significantly associated with the COVID-19 severeness. These 32 features were further screened for inter-feature redundancies. The final SVM model was trained using 28 features and achieved the overall accuracy 0.8148. This work may facilitate the risk estimation of whether the COVID-19 patients would develop the severe symptoms. The 28 COVID-19 severeness associated biomarkers may also be investigated for their underlining mechanisms how they were involved in the COVID-19 infections.

19.
Biosaf Health ; 2(3): 164-168, 2020 Sep.
Article in English | MEDLINE | ID: covidwho-645110

ABSTRACT

This study described the epidemiologic and clinical characteristics of patients who died from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, and pointed out the potential risk factors associated with fatal outcomes. Retrospective data from 42 death cases due to SARS-CoV-2 infection at Tongji Hospital Affiliated to Huazhong University of Science and Technology, Wuhan, China was analyzed. Demographics, clinical detection, laboratory findings, and treatments of the deceased were collected and analyzed. The average time between onset of symptoms and admission to the hospitals was 11 ± 5 days of hospitalization. Among the deceased, 60% were with co-morbidities. All of them were having fever and bilateral pneumonia on computed tomography, abnormal infection-related biomarkers, and renal impairment. Abnormal blood coagulation parameters that appeared in more than half of them, were consistent with disseminated intravascular coagulation. All of the patients were treated in the ICU. Based on the fact that SARS-CoV-2 infection carries a risk of mortality, we may infer a few older male patients with underlying comorbidities are likely to have the increased risk. Impaired consciousness level, markers of renal impairment and coagulation abnormalities may be poor prognostic factors.

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