ABSTRACT
Objective To investigate COVID-19 vaccination status and relevant adverse reactions in patients with psoriasis treated with biological agents, and to explore the effect of COVID-19 vaccination on psoriatic lesions. Methods Clinical data were collected from 572 psoriasis patients aged 18-60 years, who were registered in the management system of psoriasis patients treated with biological agents in the University of Hong Kong-Shenzhen Hospital from May 2019 to June 2021. The COVID-19 vaccination status was investigated by telephone interviews, and the vaccination-related information was obtained by fixed healthcare workers during a fixed time period according to a predesigned questionnaire. Measurement data were compared between two groups by using t test, and enumeration data were compared by using chi- square test or Fisher's exact test. Results The COVID-19 vaccination coverage rate was 43.13%226 casesamong the 524 patients who completed the telephone interview, and was significantly lower in the biological agent treatment group30.79%, 105/341than in the traditional drug treatment group66.12%, 121/183;chi2 = 60.60, P < 0.001. The main reason for not being vaccinated was patients' fear of vaccine safety49.66%, 148/298, followed by doctors' not recommending26.51%, 79/298. In the biological agent treatment group after vaccination, the exacerbation of psoriatic lesions was more common in patients receiving prolonged-interval treatment42.86%, 6/14compared with those receiving regular treatment 4.40%, 4/91;Fisher's exact test, P < 0.001. Skin lesions were severely aggravated in two patients after COVID-19 vaccination, who ever experienced allergic reactions and whose skin lesions did not completely subside after the treatment with biological agents. Conclusions The COVID-19 vaccination coverage rate was relatively low in the psoriasis patients treated with biological agents, and no serious adverse reaction was observed after vaccination. Prolonged-interval treatment due to COVID-19 vaccination ran the risk of exacerbation of skin lesions.Copyright © The Author(s) 2023.
ABSTRACT
Objective To investigate COVID-19 vaccination status and relevant adverse reactions in patients with psoriasis treated with biological agents, and to explore the effect of COVID-19 vaccination on psoriatic lesions. Methods Clinical data were collected from 572 psoriasis patients aged 18-60 years, who were registered in the management system of psoriasis patients treated with biological agents in the University of Hong Kong-Shenzhen Hospital from May 2019 to June 2021. The COVID-19 vaccination status was investigated by telephone interviews, and the vaccination-related information was obtained by fixed healthcare workers during a fixed time period according to a predesigned questionnaire. Measurement data were compared between two groups by using t test, and enumeration data were compared by using chi- square test or Fisher's exact test. Results The COVID-19 vaccination coverage rate was 43.13%(226 cases)among the 524 patients who completed the telephone interview, and was significantly lower in the biological agent treatment group(30.79%, 105/341)than in the traditional drug treatment group(66.12%, 121/183;chi2 = 60.60, P < 0.001). The main reason for not being vaccinated was patients' fear of vaccine safety(49.66%, 148/298), followed by doctors' not recommending(26.51%, 79/298). In the biological agent treatment group after vaccination, the exacerbation of psoriatic lesions was more common in patients receiving prolonged-interval treatment(42.86%, 6/14)compared with those receiving regular treatment (4.40%, 4/91;Fisher's exact test, P < 0.001). Skin lesions were severely aggravated in two patients after COVID-19 vaccination, who ever experienced allergic reactions and whose skin lesions did not completely subside after the treatment with biological agents. Conclusions The COVID-19 vaccination coverage rate was relatively low in the psoriasis patients treated with biological agents, and no serious adverse reaction was observed after vaccination. Prolonged-interval treatment due to COVID-19 vaccination ran the risk of exacerbation of skin lesions.Copyright © The Author(s) 2023.
ABSTRACT
Everything is further datafied and digitised during the period of COVID-19 in mainland China;a process that directly and strongly confirms three overlapping attitudes towards data in young people’s everyday existence. One is the common sense that there is no way to protect private data from official supervisory control. The second one is cynical - it is difficult to understand the way social and political life is represented because the world is structured and confused by algorithms as well as bureaucracy. Based on these two judgements, the final attitude is that the most important fight is to save all data connected to useful information or critical comments before its being forbidden (by the State) or deleted completely by the technical system. These overlapping attitudes form the basis of today’s datafication education. This chapter focuses on two teaching examples from an undergraduate course in cultural studies, exploring how students understand the meaning of deletion and algorithm-writing apps. The chapter describes tensions and difficulties involved in the struggle between experiences of critical pedagogy and students’ lived realities. It argues a critical way to do this is to save and recode data to make cultural facts (from Émile Durkheim’s social facts) in order to avoid deletion. © 2022 selection and editorial matter, Luci Pangrazio, Julian Sefton-Green;individual chapters, the contributors.
ABSTRACT
Objective To explore the predictive value of low-dose biphasic (inspiratory and expiratory) CT air trapping sign and semi-quantitative score in predicting abnormal blood gas parameters and progression to severe disease in COVID-19 patients. Methods Patients with non-severe COVID-19 who were diagnosed by nucleic acid testing and hospitalized in designated hospitals in Wuxi City from January 23 to February 29, 2020 were prospectively and consecutively recruited. All patients received low-dose biphasic CT examination on admission and repeated CT examination at regular intervals during the course. On the inspiratory phase admission of the bipolar CT, the scope of the lesion was evaluated by semi-quantitative score, and the air trapping sign on bipolar CT was assessed. The differences of semi-quantitative score, the presence of the air trapping sign and other clinical factors were compared between the patients with abnormal and the normal blood gas index, as well as between the cases progressed to severe disease and cases without disease progression using the independent sample t-test or χ2test. The area under the curve (AUC) of receiver operating characteristic (ROC) and the comprehensive discriminant improvement index (IDI) were used to evaluate the predictive effectiveness of the semi-quantitative scores, air trapping sign, and combination of two factors in differentiating cases with abnormal and normal blood gas indexes, as well as in differentiating cases with and without disease progression to severe COVID-19 cases. Results In total 51 non-severe COVID-19 cases were included, with 16 cases showed air trapping sign during the first biphasic CT examination on admission. During the course of the disease, there were 13 patients with abnormal blood gas index, and 9 cases displaying air trapping sign (9/13). All 7 cases with progression to severe cases showed air trapping sign (7/7). Patients with advanced age, air trapping sign and higher semi-quantitative score were found more likely to have abnormal blood gas index (t=3.10, χ2=9.38, t=3.34, P<0.05);patients with advanced age, underlying diseases, air trapping sign and higher semi-quantitative score were more likely to develop into severe disease (t=2.68, χ2=6.65, χ2=4.25, t=4.33, P<0.05). The AUC of semi-quantitative score, air trapping sign and combination of two factors in distinguishing abnormal blood gas index from normal blood gas index was 0.803, 0.754 and 0.794 respectively. The AUC of semi-quantitative score, air trapping sign and combination of two factors in distinguishing cases with progression to severe cases from non-progression was 0.881, 0.898 and 0.932, respectively. Air trapping sign combined with semi-quantitative score significantly improved the prediction effectiveness of disease progression, compared with semi-quantitative score or air trapping sign (IDI=0.271, 0.117). Conclusion Air trapping sign and semi-quantitative score might be used as effective indicators to predict the progression of COVID-19 cases, and the combination of these two factors might be more helpful to predict the disease progression.