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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT04409574
Other study ID # COVID19 among HCWs
Secondary ID
Status Not yet recruiting
Phase
First received
Last updated
Start date June 2020
Est. completion date June 2021

Study information

Verified date June 2020
Source Assiut University
Contact Mariam elkhayat, lecturer
Phone 00201003708261
Email mariam.elkhayat@aun.edu.eg
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

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


Description:

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).


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 31
Est. completion date June 2021
Est. primary completion date March 2021
Accepts healthy volunteers No
Gender All
Age group 18 Years to 50 Years
Eligibility Inclusion Criteria:

- Covid 19 infected healthcare workers.

Exclusion Criteria:

- Risky healthcare workers (diabetic hypertensive and more than 50 years)

Study Design


Related Conditions & MeSH terms


Locations

Country Name City State
n/a

Sponsors (1)

Lead Sponsor Collaborator
Assiut University

References & Publications (4)

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. Review. — View Citation

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. — View Citation

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. — View Citation

Woo PC, Huang Y, Lau SK, Yuen KY. Coronavirus genomics and bioinformatics analysis. Viruses. 2010 Aug;2(8):1804-20. doi: 10.3390/v2081803. Epub 2010 Aug 24. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary the time of Covid 19 viral clearance in medical healthcare workers and its relation to clinical presentation, severity among and resolution of symptoms. different relations between different symptoms, investigation results and time of viral clearness basline
Secondary knowledge and practice of infection control measures good and bad knowledge or practice baseline
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