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1.
Psychological Medicine ; 52(7):1386-1392, 2022.
Article in English | ProQuest Central | ID: covidwho-1872001

ABSTRACT

BackgroundNo studies have reported on how to relieve distress or relax in medical health workers while wearing medical protective equipment in coronavirus disease 2019 (COVID-19) pandemic. The study aimed to establish which relaxation technique, among six, is the most feasible in first-line medical health workers wearing medical protective equipment.MethodsThis was a two-step study collecting data with online surveys. Step 1: 15 first-line medical health workers were trained to use six different relaxation techniques and reported the two most feasible techniques while wearing medical protective equipment. Step 2: the most two feasible relaxation techniques revealed by step 1 were quantitatively tested in a sample of 65 medical health workers in terms of efficacy, no space limitation, no time limitation, no body position requirement, no environment limitation to be done, easiness to learn, simplicity, convenience, practicality, and acceptance.ResultsKegel exercise and autogenic relaxation were the most feasible techniques according to step 1. In step 2, Kegel exercise outperformed autogenic relaxation on all the 10 dimensions among the 65 participants while wearing medical protective equipment (efficacy: 24 v. 15, no space limitation: 30 v. 4, no time limitation: 31 v. 4, no body position requirement: 26 v. 4, no environment limitation: 30 v. 11, easiness to learn: 28 v. 5, simplicity: 29 v. 7, convenience: 29 v. 4, practicality: 30 v. 14, acceptance: 32 v. 6).ConclusionKegel exercise seems a promising self-relaxation technique for first-line medical health workers while wearing medical protective equipment among COVID-19 pandemic.

2.
EuropePMC;
Preprint in English | EuropePMC | ID: ppcovidwho-328671

ABSTRACT

An ultrasensitive assay for the detection of antibodies to SARS-CoV-2 is critically needed for evaluating the adaptive humoral immune response and infection rates in immunocompromised subpopulations. Here, we report an Ultrasensitive CRISPR-based Antibody Detection (UCAD) assay that translates the detection of serum antibodies against the receptor binding domain (RBD) of SARS-CoV-2 spike protein into CRISPR-based nucleic acid testing in a homogeneous solution and is thus 10,000 times more sensitive than the commercial immunoassay. The UCAD assay, which has been validated with 65 clinical anti-RBD-positive and 72 anti-RBD-negative sera collected from the general population, achieves 100% sensitivity and 97.2% specificity. We finally deployed UCAD to evaluate the levels of serum anti-RBD IgG and IgM in a cohort of 85 vaccinated kidney transplant recipients (KTRs), an especially vulnerable patient population with reported seroconversion rates of only 4-48%. Among the 85 vaccinated KTRs, UCAD successfully identified 68 seroconversion positive sera that were previously determined to contain “undetectable” levels of anti-SARS-CoV-2 using a clinical chemiluminescent immunoassay (CLIA) and has revealed significant differences in the levels of plasmablasts, type-2 T helper (Th2) cells, and type-17 T helper (Th17) cells between the UCAD-identified seroconversion positive and negative groups. As UCAD is a solution-based ultrasensitive assay that does not require specialized equipment or tedious operational and washing steps, we anticipate that it will find wide applications for clinical uses in both centralized laboratories and point-of-care settings.

3.
J Clin Lab Anal ; 35(12): e24100, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1508785

ABSTRACT

OBJECTIVES: This study aimed to explore clinical indexes for management of severe/critically ill patients with COVID-19, influenza A H7N9, and H1N1 pneumonia by comparing hematological and radiological characteristics. METHODS: Severe/critically ill patients with COVID-19, H7N9, and H1N1 pneumonia were retrospectively enrolled. The demographic data, clinical manifestations, hematological parameters, and radiological characteristics were compared. RESULTS: In this study, 16 cases of COVID-19, 10 cases of H7N9, and 13 cases of H1N1 who met severe/critically ill criteria were included. Compared with COVID-19, H7N9 and H1N1 groups had more chronic diseases (80% and 92.3% vs. 25%, p < 0.05), higher APACHE Ⅱ scores (16.00 ± 8.63 and 15.08 ± 6.24, vs. 5.50 ± 2.58, p < 0.05), higher mortality rates (40% and 46.2% vs. 0%, p < 0.05), significant lymphocytopenia (0.59 ± 0.31 × 109 /L and 0.56 ± 0.35 × 109 /L vs. 0.97 ± 0.33 × 109 /L, p < 0.05), and elevated neutrophil-to-lymphocyte ratio (NLR; 14.67 ± 6.10 and 14.64 ± 10.36 vs. 6.29 ± 3.72, p < 0.05). Compared with the H7N9 group, ground-glass opacity (GGO) on chest CT was common in the COVID-19 group (p = 0.028), while pleural effusion was rare (p = 0.001). CONCLUSIONS: The NLR can be used as a clinical parameter for the predication of risk stratification and outcome in COVID-19 and influenza A pneumonia. Manifestations of pleural effusion or GGO in chest CT may be helpful for the identification of different viral pneumonia.


Subject(s)
COVID-19/blood , COVID-19/diagnostic imaging , Influenza, Human/blood , Influenza, Human/diagnostic imaging , Aged , Aged, 80 and over , Blood Cell Count , COVID-19/etiology , Chronic Disease , Critical Illness , Female , Humans , Influenza A Virus, H1N1 Subtype , Influenza A Virus, H7N9 Subtype , Influenza, Human/etiology , Influenza, Human/virology , Male , Middle Aged , Pneumonia, Viral/blood , Pneumonia, Viral/diagnostic imaging , Pneumonia, Viral/mortality , Pneumonia, Viral/virology , Retrospective Studies , Sex Factors
4.
American Behavioral Scientist ; : 00027642211003153, 2021.
Article in English | Sage | ID: covidwho-1153808

ABSTRACT

Although studies have investigated cyber-rumoring previous to the pandemic, little research has been undertaken to study rumors and rumor-corrections during the COVID-19 (coronavirus disease 2019) pandemic. Drawing on prior studies about how online stories become viral, this study will fill that gap by investigating the retransmission of COVID-19 rumors and corrective messages on Sina Weibo, the largest and most popular microblogging site in China. This study examines the impact of rumor types, content attributes (including frames, emotion, and rationality), and source characteristics (including follower size and source identity) to show how they affect the likelihood of a COVID-19 rumor and its correction being shared. By exploring the retransmission of rumors and their corrections in Chinese social media, this study will not only advance scholarly understanding but also reveal how corrective messages can be crafted to debunk cyber-rumors in particular cultural contexts.

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