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1.
Article in English | MEDLINE | ID: mdl-37883746

ABSTRACT

Objective: In the initial stages of the COVID-19 epidemic, frontline medical staff faced numerous psychological pressures, such as shortages of medical supplies, lack of treatment experience, and high risk of infection. This study plans to understand the mental resilience and psychosomatic status of first-line anti-epidemic medical team members to provide a reference for managing their mental health status and the improvement of mental resilience. Methods: From March 3 to March 5, 2020 a medical team serving as a first-line medical rescue group in Wuhan was chosen as the research subject, with 160 cases. The staff status questionnaire and the Chinese Version of the mental resilience scale were used simultaneously in a mobile phone questionnaire survey on the selected subjects using a cluster sampling method, which refers to the sampling strategy considering an independent cluster as a unit. (Chinese Version of the CD-RISC). Results: The participants were frontline medical staff against COVID-19. A total of 156 samples were effective, with a 97.5% effective sample rate. The 156 cases investigated included 77 males (49.4%) and 79 females (51.6%), with an average age of 36.50±8.50. There were 22 (14.1%) cases with a junior college diploma or less, 97 (62.2%) cases with a bachelor's degree, and 37 (23.7%) cases with a master's degree or higher. Conversely, men were more tenacious than women (Cohen's d = 0.319, t = 1.997, P = .048). In terms of the psychosomatic state influence score, women had a greater psychosomatic influence than men (F = 3.076, P = .006). Conclusion: The anti-epidemic task significantly impacts the psychosomatic state of first-line medical personnel, who may require improved social and psychological support. Women experience more stress than men. Frontline medical personnel should seek social support and learn positive stress management techniques. When facing medical emergencies, medical decision-makers also need to pay attention to strengthening the psychosocial support of frontline personnel.

2.
BMC Pulm Med ; 21(1): 64, 2021 Feb 24.
Article in English | MEDLINE | ID: mdl-33627118

ABSTRACT

OBJECTIVES: We aimed to identify high-risk factors for disease progression and fatality for coronavirus disease 2019 (COVID-19) patients. METHODS: We enrolled 2433 COVID-19 patients and used LASSO regression and multivariable cause-specific Cox proportional hazard models to identify the risk factors for disease progression and fatality. RESULTS: The median time for progression from mild-to-moderate, moderate-to-severe, severe-to-critical, and critical-to-death were 3.0 (interquartile range: 1.8-5.5), 3.0 (1.0-7.0), 3.0 (1.0-8.0), and 6.5 (4.0-16.3) days, respectively. Among 1,758 mild or moderate patients at admission, 474 (27.0%) progressed to a severe or critical stage. Age above 60 years, elevated levels of blood glucose, respiratory rate, fever, chest tightness, c-reaction protein, lactate dehydrogenase, direct bilirubin, and low albumin and lymphocyte count were significant risk factors for progression. Of 675 severe or critical patients at admission, 41 (6.1%) died. Age above 74 years, elevated levels of blood glucose, fibrinogen and creatine kinase-MB, and low plateleta count were significant risk factors for fatality. Patients with elevated blood glucose level were 58% more likely to progress and 3.22 times more likely to die of COVID-19. CONCLUSIONS: Older age, elevated glucose level, and clinical indicators related to systemic inflammatory responses and multiple organ failures, predict both the disease progression and the fatality of COVID-19 patients.


Subject(s)
Blood Glucose/metabolism , COVID-19/blood , COVID-19/mortality , Disease Progression , Hyperglycemia/blood , Adult , Age Factors , Aged , Aged, 80 and over , Bilirubin/blood , C-Reactive Protein/metabolism , China/epidemiology , Critical Illness , Female , Fever/virology , Humans , Hyperglycemia/complications , L-Lactate Dehydrogenase/blood , Lymphocyte Count , Male , Middle Aged , Proportional Hazards Models , Retrospective Studies , SARS-CoV-2 , Serum Albumin/metabolism , Time Factors
3.
J Clin Hypertens (Greenwich) ; 23(2): 218-231, 2021 02.
Article in English | MEDLINE | ID: mdl-33369066

ABSTRACT

It is widely recognized that hypertension is one of the major risk factor for disease severity and mortality in patients with coronavirus disease 2019 (COVID-19). However, type 2 diabetes mellitus (T2DM) and hypertension are frequent comorbid conditions, complicating the assessment of hypertension's individual contribution to the risk. The aims of this study were to evaluate the contributions of hypertension alone, T2DM alone, or their combination to the risk of death, acute respiratory distress syndrome (ARDS)/respiratory failure, and severe COVID-19 infection. Additionally, we assessed risks associated with elevated blood pressure and fasting blood glucose on the same three clinical outcomes. Multivariate logistic models were used for these analyses. Among the 3400 patients, 3327(97.9%) survived and 73(2.1%) died. Compared to patients having neither hypertension nor T2DM (n = 1392), the risk of mortality was significantly higher in patients with T2DM alone (n = 226, OR 5.26 [95% CI: 2.39-11.58]) or with T2DM in combination with hypertension (n = 507, OR 3.02, [95% CI: 1.48-6.15]). Similarly, T2DM was a risk factor for development of ARDS/respiratory failure and severe infection. Hypertension alone (n = 1275) only conferred additional risk for the development of severe infection (OR 1.22 [95% CI: 1.00-1.51]). In conclusion, neither hypertension nor elevated blood pressure was independent risk factors for death or ARDS/respiratory failure but hypertension marginally increased the risk of severe COVID-19 infection. The risk associated with hypertension is accentuated through its confounding effect on T2DM.


Subject(s)
COVID-19/mortality , Diabetes Mellitus, Type 2/complications , Hypertension/complications , Respiratory Distress Syndrome/mortality , Adult , Aged , Blood Glucose/analysis , COVID-19/diagnosis , COVID-19/epidemiology , COVID-19/virology , Case-Control Studies , China/epidemiology , Comorbidity , Diabetes Mellitus, Type 2/diagnosis , Fasting/blood , Female , Humans , Hypertension/diagnosis , Hypertension/physiopathology , Male , Middle Aged , Outcome Assessment, Health Care , Respiratory Distress Syndrome/epidemiology , Respiratory Distress Syndrome/etiology , Retrospective Studies , Risk Factors , SARS-CoV-2/genetics , Severity of Illness Index
4.
J Med Virol ; 93(5): 2782-2789, 2021 05.
Article in English | MEDLINE | ID: mdl-33085103

ABSTRACT

Coronavirus disease 2019 (COVID-19) has rapidly evolved into a global pandemic. A total of 1578 patients admitted into a newly built hospital specialized for COVID-19 treatment in Wuhan, China, were enrolled. Clinical features and the levels of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) immunoglobulin (Ig)M and IgG were analyzed. In total, 1532 patients (97.2%) were identified as laboratory-confirmed cases. Seventy-seven patients were identified as asymptomatic carriers (n = 64) or SARS-CoV-2 RNA positive before symptom onset (n = 13). The positive rates of SARS-CoV-2 IgM and IgG were 80.4% and 96.8%, respectively. The median of IgM and IgG titers were 37.0A U/ml (interquartile range [IQR]: 13.4-81.1 AU/ml) and 156.9 AU/ml (IQR: 102.8-183.3 AU/ml), respectively. The IgM and IgG levels of asymptomatic patients (median titers, 8.3 AU/ml and 100.3 AU/ml) were much lower than those in symptomatic patients (median titers, 38.0 AU/ml and 158.2 AU/ml). A much lower IgG level was observed in critically ill patients 42-60 days after symptom onset. There were 153 patients with viral RNA shedding after IgG detection. These patients had a higher proportion of critical illness during hospitalization (p < .001) and a longer hospital stay (p < .001) compared to patients with viral clearance after IgG detection. Coronary heart disease (odds ratio [OR], 1.89 [95% confidence interval [CI], 1.11-3.24]; p = .020), and intensive care unit admission (OR, 2.47 [95% CI, 1.31-4.66]; p = .005) were independent risk factors associated with viral RNA shedding after IgG detection. Symptomatic patients produced more antibodies than asymptomatic patients. The patients who had SARS-CoV-2 RNA shedding after developing IgG were more likely to be sicker patients.


Subject(s)
Antibodies, Viral/immunology , Antibody Formation , COVID-19 Drug Treatment , COVID-19/immunology , Adolescent , Adult , Aged , COVID-19/physiopathology , China , Female , Hospitalization , Hospitals , Humans , Immunoglobulin G/immunology , Immunoglobulin M/immunology , Male , Middle Aged , Pandemics , RNA, Viral , Retrospective Studies , Risk Factors , SARS-CoV-2 , Virus Shedding , Young Adult
5.
Emerg Microbes Infect ; 9(1): 2020-2029, 2020 Dec.
Article in English | MEDLINE | ID: mdl-32799618

ABSTRACT

COVID-19 is caused by SARS-CoV-2 infection and was initially discovered in Wuhan. This outbreak quickly spread all over China and then to more than 20 other countries. SARS-CoV-2 fluorescent microsphere immunochromatographic test strips were prepared by the combination of time-resolved fluorescence immunoassay with a lateral flow assay. The analytical performance and clinical evaluation of this testing method was done and the clinical significance of the testing method was verified. The LLOD of SARS-CoV-2 antibody IgG and IgM was 0.121U/L and 0.366U/L. The specificity of IgM and IgG strips in healthy people and in patients with non-COVID-19 disease was 94%, 96.72% and 95.50%, 99.49%, respectively; and sensitivity of IgM and IgG strips for patients during treatment and follow-up was 63.02%, 37.61% and 87.28%, 90.17%, respectively. The SARS-CoV-2 antibody test strip can provide rapid, flexible and accurate testing, and is able to meet the clinical requirement for rapid on-site testing of virus. The ability to detect IgM and IgG provided a significant benefit for the detection and prediction of clinical course with COVID-19 patients.


Subject(s)
Antibodies, Viral/analysis , COVID-19 Serological Testing/methods , COVID-19/diagnosis , Immunoglobulin G/analysis , Immunoglobulin M/analysis , COVID-19/immunology , Fluorescent Antibody Technique , Humans , SARS-CoV-2/immunology , Sensitivity and Specificity
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