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1.
researchsquare; 2024.
Preprint em Inglês | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-3925942.v1

RESUMO

[Purpose]Analyse the factors that influence the rate of Omicron infection, symptom severity, symptom duration and antibody levels in PLWH, in particular the role of vaccination. [Methods]We randomly investigated the Omicron infection status in 338 PLWH at multiple centers and examined their WT and Omicron specific antibodies, separately. [Results]Age was the only factor that affected the rate of Omicron infection, severity of symptoms, and duration of symptoms in PLWH. Infection, number of vaccination, ART regimen and time all affect antibody levels.With the increase of number of vaccination, both WT and BA.5 specific antibodies were gradually increased, and the overall antibody levels of PLWH with hybrid immunity were higher than those of PLWH with only vaccine immune. [Conclusions]The prevalence of Omicron is higher and symptoms is more severe in PLWH younger than 40 years, but the duration of symptoms is shorter in PLWH younger than 40 years. Although vaccination does not reduce the infection rate of SARS-CoV-2, it can significantly not only enhance the antibody level against the original strain, but also expand the antibody response against the newly emerged virus variant strain. What’s more, although breakthrough infections still occur, antibody levels can be significantly increased after hybrid immunization. For PLWH at high risk of infection, booster vaccination may be beneficial for them to cope with SARS-CoV-2 normalized infection.


Assuntos
Dor Irruptiva , Síndrome Respiratória Aguda Grave
2.
Lancet Reg Health West Pac ; 3: 100032, 2020 Oct.
Artigo em Inglês | MEDLINE | ID: covidwho-2258904

RESUMO

BACKGROUND: In response to the COVID-19 epidemic, China implemented a series of interventions that impacted tuberculosis (TB) control in the country. METHODS: Based on routine surveillance data and questionnaires, the study analyzed TB notification, follow-up examinations, and treatment outcomes. The data were split into three phases in relation to outbreak, lockdown and reopen when the nationwide COVID-19 response started in 2020: control (11 weeks prior), intensive (11 weeks during and immediately after), and regular (4 additional weeks). Data from 2017-2019 were used as baseline. FINDINGS: The notified number of TB patients decreased sharply in the 1st week of the intensive period but took significantly longer to rebound in 2020 compared with baseline. The percentages of TB patients undergoing sputum examination within one week after 2 months treatment and full treatment course in the intensive period were most affected and decreased by 8% in comparison with control period. 75•2% (221/294) of counties reallocated CDC and primary health care workers to fight the COVID-19 epidemic, 26•9% (725/2694) of TB patients had postponed or missed their follow-up examinations due to travel restrictions and fear of contracting COVID-19. INTERPRETATION: In the short term, the COVID-19 epidemic mostly affected TB notification and follow-up examinations in China, which may lead to a surge of demand for TB services in the near future. To cope with this future challenge, an emergency response mechanism for TB should be established. FUNDING: National Health Commission of China-Bill & Melinda Gates Foundation TB Collaboration project (OPP1137180).

3.
Journal of Cardiothoracic and Vascular Anesthesia ; 34(6):1397-1401, 2020.
Artigo em Inglês | CAB Abstracts | ID: covidwho-1409855

RESUMO

The outbreak of a new coronavirus (severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2]) in China in December 2019 has brought serious challenges to disease prevention and public health. Patients with severe coronavirus disease 2019 (COVID-19) who undergo cardiovascular surgery necessitate extremely high demands from anesthesia personnel, and face high risks of mortality and morbidity. Based on the current understanding of COVID-19 and the clinical characteristics of cardiovascular surgical patients, the authors provide anesthesia management guidelines for cardiovascular surgery along with the prevention and control of COVID-19.

4.
Sci Rep ; 11(1): 13854, 2021 07 05.
Artigo em Inglês | MEDLINE | ID: covidwho-1297314

RESUMO

To describe the long-term health outcomes of patients with COVID-19 and investigate the potential risk factors. Clinical data during hospitalization and at a mean (SD) day of 249 (15) days after discharge from 40 survivors with confirmed COVID-19 (including 25 severe cases) were collected and analyzed retrospectively. At follow-up, severe cases had higher incidences of persistent symptoms, DLCO impairment, and higher abnormal CT score as compared with mild cases. CT score at follow-up was positively correlated with age, LDH level, cumulative days of oxygen treatment, total dosage of glucocorticoids used, and CT peak score during hospitalization. DLCO% at follow-up was negatively correlated with cumulative days of oxygen treatment during hospitalization. DLCO/VA% at follow-up was positively correlated with BMI, and TNF-α level. Among the three groups categorized as survivors with normal DLCO, abnormal DLCO but normal DLCO/VA, and abnormal DLCO and DLCO/VA, survivors with abnormal DLCO and DLCO/VA had the lowest serum IL-2R, IL-8, and TNF-α level, while the survivors with abnormal DLCO but normal DLCO/VA had the highest levels of inflammatory cytokines during hospitalization. Altogether, COVID-19 had a greater long-term impact on the lung physiology of severe cases. The long-term radiological abnormality maybe relate to old age and the severity of COVID-19. Either absent or excess of inflammation during COVID-19 course would lead to the impairment of pulmonary diffusion function.


Assuntos
COVID-19/epidemiologia , Pulmão/virologia , Transtornos Respiratórios/virologia , SARS-CoV-2/patogenicidade , Sobreviventes , Adulto , Idoso , Seguimentos , Humanos , Pulmão/fisiopatologia , Masculino , Pessoa de Meia-Idade , Transtornos Respiratórios/fisiopatologia , Fenômenos Fisiológicos Respiratórios , Estudos Retrospectivos , Sobreviventes/estatística & dados numéricos
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