COVID 19 Viral Clearance Among the Infected Healthcare Workers In Assiut University Hospitals

NCT ID: NCT04409574

Last Updated: 2020-06-04

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

31 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-06-30

Study Completion Date

2021-06-30

Brief Summary

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This work was aimed to determine the time of COVID 19 viral clearance in healthcare workers, assessment of clinical presentation and severity of COVID 19 infection among healthcare workers and discover relation between the time of COVID 19 viral clearance resolution of symptoms

Detailed Description

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COVID-19 has been spreading rapidly globally, with a considerable impact on global morbidity, mortality and healthcare utilization. This viral disease is caused by the Coronaviruses (CoV) which belong to the genus'coronavirus' of the Coronaviridae family.

Coronaviruses are enveloped positive strand RNA viruses with the largest known RNA genomes-30-32 kb-with a 50 -cap structure and 30 -poly-A tail (Lei et al.2018). The transcription works through the replication-transcription complex (RCT) organized in double-membrane vesicles and via the synthesis of subgenomic RNAs (sgRNAs) sequences. Of note, transcription termination occurs at transcription regulatory sequences, located between the so-called open reading frames (ORFs). In the atypical CoV genome, at least six ORF scan could be present (Woo et al., 2020) .

Health workers are at the front line of the COVID-19 outbreak response and as such are exposed to hazards that put them at risk of infection (Li e al.,2020). thus keeping the implementation of infection prevention and control (IPC) and its knowledge and practice are of great importance in healthcare settings to protect them from infections (Wang et al., 2020).

Conditions

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Infection, Coronavirus

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

CROSS_SECTIONAL

Eligibility Criteria

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Inclusion Criteria

* Covid 19 infected healthcare workers.

Exclusion Criteria

* Risky healthcare workers (diabetic hypertensive and more than 50 years)
Minimum Eligible Age

18 Years

Maximum Eligible Age

50 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Assiut University

OTHER

Sponsor Role lead

Responsible Party

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Mariam Roshdy Elkhayat

lecturer

Responsibility Role PRINCIPAL_INVESTIGATOR

Central Contacts

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Mariam elkhayat, lecturer

Role: CONTACT

00201003708261 ext. 00201003708261

Azza Ezzeldin, professor

Role: CONTACT

01001918207

References

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Li Q, Guan X, Wu P, Wang X, Zhou L, Tong Y, Ren R, Leung KSM, Lau EHY, Wong JY, Xing X, Xiang N, Wu Y, Li C, Chen Q, Li D, Liu T, Zhao J, Liu M, Tu W, Chen C, Jin L, Yang R, Wang Q, Zhou S, Wang R, Liu H, Luo Y, Liu Y, Shao G, Li H, Tao Z, Yang Y, Deng Z, Liu B, Ma Z, Zhang Y, Shi G, Lam TTY, Wu JT, Gao GF, Cowling BJ, Yang B, Leung GM, Feng Z. Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia. N Engl J Med. 2020 Mar 26;382(13):1199-1207. doi: 10.1056/NEJMoa2001316. Epub 2020 Jan 29.

Reference Type BACKGROUND
PMID: 31995857 (View on PubMed)

Lei J, Kusov Y, Hilgenfeld R. Nsp3 of coronaviruses: Structures and functions of a large multi-domain protein. Antiviral Res. 2018 Jan;149:58-74. doi: 10.1016/j.antiviral.2017.11.001. Epub 2017 Nov 8.

Reference Type BACKGROUND
PMID: 29128390 (View on PubMed)

Wang J, Zhou M, Liu F. Reasons for healthcare workers becoming infected with novel coronavirus disease 2019 (COVID-19) in China. J Hosp Infect. 2020 May;105(1):100-101. doi: 10.1016/j.jhin.2020.03.002. Epub 2020 Mar 6. No abstract available.

Reference Type BACKGROUND
PMID: 32147406 (View on PubMed)

Woo PCY, Huang Y, Lau SKP, Yuen KY. Coronavirus genomics and bioinformatics analysis. Viruses. 2010 Aug;2(8):1804-1820. doi: 10.3390/v2081803. Epub 2010 Aug 24.

Reference Type BACKGROUND
PMID: 21994708 (View on PubMed)

Other Identifiers

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COVID19 among HCWs

Identifier Type: -

Identifier Source: org_study_id

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