- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04484597
Predictors of COVID-19 Infection and Disease Progression (Portsaiduni)
Study Overview
Detailed Description
The COVID-19 pandemic put tremendous pressures on the public health system and the health workers in almost every country around the world. Egypt was no exception, one of the main challenges faced is the limited number of CPR centers, equipment and kits which consequently affecting the number of tests that could be performed.
Although testing is critical, clinical judgement is the first mean to evaluate patients for COVID-19. Ancillary Diagnostic Tests and Chest imaging are also important tools before proceeding to the PCR testing. However, important gaps remain in screening asymptomatic persons in the incubation phase, as well as in the accurate determination of live viral shedding during convalescence to inform decisions to end isolation. The main objectives of the study: To set an evidence-based protocol with some criteria and procedures to reach - as accurate as possible - diagnosis without compromising the limited available resources. Such protocol shall make full use of the three main traditional pillars: Clinical picture, Ancillary Diagnostic Tests and Chest imaging before proceeding to the PCR testing:
- Clinical Picture: Symptomatic COVID-19 presents with a recognizable clinical syndrome that is predictable prior to testing. Clinical judgement remains important, particularly when interpreting negative test results;
- Biomarkers Associated with COVID-19 Patients: The most common laboratory features reported in patients with COVID-19 include: • Decreased albumin; • Elevated C-reactive protein ; • Elevated lactate dehydrogenase levels ; and • Lymphopenia .
- Other biomarkers that have been reported include increased erythrocyte sedimentation rates; elevated aspartate aminotransferase, alanine aminotransferase, and creatine kinase levels, leukopenia, leukocytosis, increased bilirubin and creatinine levels. No biomarker or combination of biomarkers currently exists that is sensitive or specific enough to establish a diagnosis of COVID-19, or to pragmatically predict its clinical course.
- Radiographic Tests: Many centers have evaluated the utility of chest imaging for diagnosis: • On chest radiography, bilateral pneumonia is the most frequently reported feature (range,11.8% to 100%) and is more common than a unilateral focus; • Computed tomography is regarded as more sensitive than radiography, with several cohort studies reporting that most patients (77.8% to 100%) had ground glass opacities. Other features commonly reported with COVID-19 on chest computed tomography include a peripheral distribution, fine reticular opacities, and vascular thickening. Compared with serial nasopharyngeal sampling, chest computed tomography may be more sensitive than an RT-PCR test at a single time point for the diagnosis of COVID-19. In addition, artificial intelligence may help distinguish COVID-19 from other etiologic agents of community-acquired pneumonia. However, these findings are not completely specific to COVID-19 and do not exclude a co-infection or an alternative diagnosis.
CPR: Who Should Be Tested? The current situation exemplifies the challenge of how to best utilize testing during outbreaks of novel pathogens. The initial testing criteria were too narrow to monitor and control the spread of the disease, but the sudden pivot to a far broader testing approach, even as capacity remains limited, may be an overcorrection. As of March 4, CDC discontinued specific guidance and recommends that "clinicians should use their judgment to determine if a patient has signs and symptoms compatible with COVID-19 and whether the patient should be tested," advising that "decisions on which patients receive testing should be based on the local epidemiology of COVID-19, as well as the clinical course of illness." High priorities for testing include patients with serious, unexplained respiratory illness and contacts of known cases, Methods: It is a comparative study between tests to diagnose COVID-19. In developed countries (in which Egypt is one of them) PCR is high cost. Though much of cases escape Diagnosis and clinician depend on clinical picture only. This study would allow to find what degree of dependence on other tests. In this study, 100 cases positive COVID-19 by PCR will be analyzed and tested for other ancillary tests and CT chest to compare them and find out which is the most sensitive in both moderate and severe clinical condition.
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Locations
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Port Said, Egypt, 22223
- Recruiting
- Prof. Refat Sadeq
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Contact:
- Refat A. Sadeq, Ph D
- Phone Number: 01003737012
- Email: refat.sadek@med.psu.edu.eg
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- All cases positive COVID 19 RT PCR
Exclusion Criteria:
- cases with chronic diseases ( cancers, diabetes Liver or Kidney )
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
correlation of COVID-19 antibody to PCR
Time Frame: 1 year
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Finding the correlation between the results of COVID-19 RT PCR, antibody to PCR COVID-19 IgM & IgG and the severity of the clinical picture
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1 year
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
correlation of ancillaey tests to PCR
Time Frame: 1 year
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Finding the correlation between the results of the ancillary tests (CRP, ESR, LFT, Ferritin, D dimer) and the severity of the clinical picture
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1 year
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Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- Prof. Refat Sadeq
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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