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2.
Travel Med Infect Dis ; 48: 102334, 2022.
Article in English | MEDLINE | ID: covidwho-1799699

ABSTRACT

BACKGROUND: It has been found that patients recovered from COVID 19 may still test Reverse Transcriptase- Polymerase Chain Reaction (RT- PCR) positive without being infectious; the reasons are unclear. The occurrence of false-negative results of RT- PCR interferes with a proper diagnosis. The objectives of that work were to determine factors associated with persistently detectable SARS-CoV-2 RNA among recovered hospitalized patients and to determine the incidence of false-negative RT-PCR results and associated factors. METHODS: Relevant data were collected from 482 COVID 19 patients hospitalized in six referral centers from four countries. RESULTS: The median duration of RT- PCR conversion to negative was 20 days. Out of 482 studied patients, 8.7% tested positive after more than four weeks and were considered prolonged convertors. Binary logistic regression analysis revealed headache as an independent risk factor for short conversion time while fever, hypertension, chronic obstructive pulmonary disease, lymphopenia, elevated erythrocyte sedimentation rate, and the number of lobes affected, and bilateralism were found to be independent risk factors for prolonged positivity. Eighteen patients had initial negative results then turned positive after 24-48 h. Associated factors and outcomes were identified. CONCLUSION: Identifying patients with a high likelihood of COVID-19 despite a negative RT-PCR is critical for effective clinical care. However, patient isolation resumption depending on positive RT-PCR despite clinical and radiological recovery is an overrating that greatly burdens the health sector.


Subject(s)
COVID-19 , SARS-CoV-2 , COVID-19/diagnosis , Humans , RNA, Viral , Respiratory System , Reverse Transcriptase Polymerase Chain Reaction
3.
SSRN; 2022.
Preprint in English | SSRN | ID: ppcovidwho-329046

ABSTRACT

Objectives: To date, the world has experienced three waves of the Coronavirus disease- 19 (COVID-19) pandemic, and the fourth wave is going on. Patients infected during the third wave were the subject of this study. Objectives were to describe their clinical manifestations, to explain their laboratory and radiological findings, to conclude factors contributing to clinical outcomes, and to evaluate treatment protocols used. Methods: Relevant data were collected from patients admitted to six referral centers in four countries. Results: Data analysis identified symptomatology and variables related to acquisition and infection outcome. The commonest symptoms were cough (81.5%), body aches (74.1%), and fever (71.6%). Binary regression model revealed those to be independent risk factors for mortality;age, vomiting and epigastric pain, diabetes, obesity, oxygen saturation less than 90%, leukocytosis, neutrophilia, lymphopenia, thrombocytopenia, elevated creatinine, high glucose level, lung ground glass opacities with consolidation, affection of four lobes and bilateralism. Neither d-dimer nor lactate dehydrogenase nor ferritin foretells death possibility. The efficacy of medications used was convenient. Conclusions: Assessing the clinical features of different COVID-19 waves, identifying predictors of outcomes, and conclude the efficacy of treatment protocols provides insight into patients’ response and viral behaviors, which help in proper diagnosis and treatment of subsequent surges.

4.
EXCLI J ; 21: 93-103, 2022.
Article in English | MEDLINE | ID: covidwho-1667813

ABSTRACT

The aim of this study was to investigate the COVID-19 vaccination acceptance rate and its determinants among healthcare workers in a multicenter study. This was a cross-sectional multi-center survey conducted from February 5 to April 29, 2021. The questionnaire consisted of 26 items in 6 subscales. The English version of the questionnaire was translated into seven languages and distributed through Google Forms using snowball sampling; a colleague in each country was responsible for the forward and backward translation, and also the distribution of the questionnaire. A forward stepwise logistic regression was utilized to explore the variables and questionnaire factors tied to the intention to COVID-19 vaccination. 4630 participants from 91 countries completed the questionnaire. According to the United Nations Development Program 2020, 43.6 % of participants were from low Human Development Index (HDI) regions, 48.3 % high and very high, and 8.1 % from medium. The overall vaccination hesitancy rate was 37 %. Three out of six factors of the questionnaire were significantly related to intention to the vaccination. While 'Perceived benefits of the COVID-19 vaccination' (OR: 3.82, p-value<0.001) and 'Prosocial norms' (OR: 5.18, p-value<0.001) were associated with vaccination acceptance, 'The vaccine safety/cost concerns' with OR: 3.52, p-value<0.001 was tied to vaccination hesitancy. Medical doctors and pharmacists were more willing to take the vaccine in comparison to others. Importantly, HDI with OR: 12.28, 95 % CI: 6.10-24.72 was a strong positive determinant of COVID-19 vaccination acceptance. This study highlighted the vaccination hesitancy rate of 37 % in our sample among HCWs. Increasing awareness regarding vaccination benefits, confronting the misinformation, and strengthening the prosocial norms would be the primary domains for maximizing the vaccination coverage. The study also showed that the HDI is strongly associated with the vaccination acceptance/hesitancy, in a way that those living in low HDI contexts are more hesitant to receive the vaccine.

5.
Rev. Soc. Bras. Med. Trop ; 53:e20200231-e20200231, 2020.
Article in English | LILACS (Americas), Grey literature | ID: grc-742140
6.
Rev. Soc. Bras. Med. Trop ; 53: e20200231, 2020. graf
Article in English | WHO COVID, LILACS (Americas) | ID: covidwho-512677
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