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1.
Nutr Clin Pract ; 2023 Apr 11.
Article in English | MEDLINE | ID: covidwho-2292815

ABSTRACT

BACKGROUND: This study aimed to determine the factors affecting the time to negative conversion of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in children and adolescents, with particular reference to nutrition risk assessment on admission. METHODS: This retrospective observational study was conducted in a sentinel hospital for novel coronavirus in Quanzhou, China. The study population comprised children and adolescents with COVID-19 admitted to the isolation wards between March 25 and April 12, 2022. Based on the Screening Tool for the Assessment of Malnutrition in Paediatrics (STAMP), nutrition risk screening was performed within 24 h of admission. Univariate and multivariate analyses were used to identify independent factors for the time to negative viral RNA conversion. RESULTS: A total of 185 patients with confirmed COVID-19 were included in this study. The median time to viral RNA conversion (from the first day of a positive nucleic acid test to the first day of consecutive negative results) was 15 days (IQR 12-18 days), ranging from 4 to 25 days. High nutrition risk (hazard ratio [HR]: 0.543, 95% CI: 0.334-0.881) and fever (HR: 0.663; 95% CI: 0.483-0.910) were independent factors influencing the negative conversion of SARS-CoV-2 RNA. CONCLUSION: High nutrition risk and fever were independently associated with delayed viral clearance in children and adolescents with SARS-CoV-2 infection, so these factors should be considered during the treatment plans for infected children and adolescents.

2.
Zhongguo Dang Dai Er Ke Za Zhi ; 25(1): 5-10, 2023 Jan 15.
Article in Chinese | MEDLINE | ID: covidwho-2306473

ABSTRACT

OBJECTIVES: To study the clinical features of children with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant infection. METHODS: A retrospective analysis was performed on the medical data of 201 children with coronavirus disease 2019 (COVID-19) who were hospitalized and diagnosed with SARS-CoV-2 Omicron variant infection in Quanzhou First Hospital from March 14 to April 7, 2022. Among the 201 children, there were 34 children with asymptomatic infection and 167 with symptomatic infection. The two groups were compared in terms of clinical features, results of experimental examinations, and outcome. RESULTS: Of all the 201 children, 161 (80.1%) had a history of exposure to COVID-19 patients and 132 (65.7%) had a history of COVID-19 vaccination. Among the 167 children with symptomatic infections, 151 had mild COVID-19 and 16 had common COVID-19, with no severe infection or death. Among the 101 children who underwent chest CT examination, 16 had ground glass changes and 20 had nodular or linear opacities. The mean time to nucleic acid clearance was (14±4) days for the 201 children with Omicron variant infection, and the symptomatic infection group had a significantly longer time than the asymptomatic infection group [(15±4) days vs (11±4) days, P<0.05]. The group vaccinated with one or two doses of COVID-19 vaccine had a significantly higher positive rate of IgG than the group without vaccination (P<0.05). The proportions of children with increased blood lymphocyte count in the symptomatic infection group was significantly lower than that in the asymptomatic infection group (P<0.05). Compared with the asymptomatic infection group, the symptomatic infection group had significantly higher proportions of children with increased interleukin-6, increased fibrinogen, and increased D-dimer (P<0.05). CONCLUSIONS: Most of the children with Omicron variant infection have clinical symptoms, which are generally mild. The children with symptomatic infection are often accompanied by decreased or normal blood lymphocyte count and increased levels of interleukin-6, fibrinogen, and D-dimer, with a relatively long time to nucleic acid clearance. Some of them had ground glass changes on chest CT.


Subject(s)
COVID-19 , Nucleic Acids , Child , Humans , Asymptomatic Infections , COVID-19/diagnosis , COVID-19/immunology , COVID-19/virology , COVID-19 Vaccines , Fibrinogen , Interleukin-6 , Retrospective Studies , SARS-CoV-2
3.
Front Public Health ; 10: 911868, 2022.
Article in English | MEDLINE | ID: covidwho-1971132

ABSTRACT

Objective: This study aimed to elicit the stated job preferences of Chinese medical staff in the post-pandemic era and identify the relative importance of different factors in the practice environment. Methods: We used an online discrete choice experiment (DCE) survey instrument to elicit the job preferences of medical staff (doctors and nurses) in tertiary hospitals in Anhui, China. Attributes and levels were generated using qualitative methods, and four attributes were considered: career development, workload, respect from society, and monthly income. A set of profiles was created using a D-efficient design. The data were analyzed considering potential preference heterogeneity, using the conditional logit model and the latent class logit (LCL) model. Results: A total of 789 valid questionnaires were included in the analysis, with an effective response rate of 73.33%. Career development, workload, respect from society, and monthly income were significant factors that influenced job preferences. Three classes were identified based on the LCL model, and preference heterogeneity among different medical staff was demonstrated. Class 1 (16.17%) and Class 2 (43.51%) valued respect from society most, whereas Class 3 (40.32%) prioritized monthly income. We found that when respect from society was raised to a satisfactory level (50-75% positive reviews), the probability of medical staff choosing a certain job increased by 69.9%. Conclusion: Respect from society was the most preferred attribute, while workload, monthly income, and career development were all key factors in the medical staff's job choices. The heterogeneity of the medical professionals' preferences shows that effective policy interventions should be customized to accommodate these drive preferences.


Subject(s)
Career Choice , Choice Behavior , China , Humans , Medical Staff , Pandemics
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