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Clinical Trial Details — Status: Withdrawn

Administrative data

NCT number NCT04427345
Other study ID # MI-COVID
Secondary ID
Status Withdrawn
Phase
First received
Last updated
Start date April 30, 2020
Est. completion date May 12, 2022

Study information

Verified date May 2022
Source University of Milano Bicocca
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

This is a monocentric retro-prospective observational study that will be conducted on all COVID19 positive patients hospitalized at the S. Gerardo Hospital in Monza.


Description:

BACKGROUND: The Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2) pandemic is severely testing the health systems of the most advanced countries. Clinicians are faced with a new pathology of an emerging virus. There is therefore an urgent need to collect real-time clinical data that informs about outcome predictive variables. Furthermore, there are currently no antiviral drugs approved for the treatment of SARS-CoV-2 infection, off-label therapies are being used with drugs already in use for other pathologies that have shown some efficacy in vitro, and some treatments obtained for compassionate use with other drugs that are being tested. It is more than ever necessary to collect clinical practice data both retrospectively on the work done so far, and in a longitudinal perspective, and analyze them quickly to optimize current treatments and define protocols for the future. Having a good clinical data base also offers the possibility of collaborating with numerous international networks on translational research, which aims to correlate clinical data with virological and immunological data, aimed at the rapid identification of possible specific viral virulence factors, or particular immune structures of the guests who once again define the final clinical outcome. STUDY DESIGN: All COVID19 positive patients admitted to San Gerardo Hospital will be enrolled in the study. After patient signs the informed consent, the following data will be collected: - birth data - sex - demographic data - comorbidity - blood chemistry data at the entrance A series of variables will then be collected relating to the treatment procedure, the therapies, the team's choice to maximize the care ceiling in the individual patient and the entire clinical study of the patient. STATISTICAL ANALISYS: Central tendency and dispersion measurements will be used for descriptive analysis of continuous variables while absolute and relative frequencies will be used to describe categorical variables.


Recruitment information / eligibility

Status Withdrawn
Enrollment 0
Est. completion date May 12, 2022
Est. primary completion date May 2021
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: - Patients 18 years old or above - Diagnosis of SARS-CoV-2 pneumonia Exclusion Criteria: - Explicit refusal to participate in the study

Study Design


Related Conditions & MeSH terms


Intervention

Other:
Predictive factors for clinical response in patients with COVID-19.
Identify the risk factors for intra-hospital mortality in patients hospitalized in the COVID + hospital wards of the San Gerardo hospital and build a prognostic score through which it is possible to define a stratification that immediately guides the therapeutic choices and the intensity of care .

Locations

Country Name City State
Italy ASST Monza-Ospedale San Gerardo Monza

Sponsors (1)

Lead Sponsor Collaborator
University of Milano Bicocca

Country where clinical trial is conducted

Italy, 

References & Publications (6)

Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, Qiu Y, Wang J, Liu Y, Wei Y, Xia J, Yu T, Zhang X, Zhang L. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020 Feb 15;395(10223):507-513. doi: 10.1016/S0140-6736(20)30211-7. Epub 2020 Jan 30. — View Citation

Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, Liu L, Shan H, Lei CL, Hui DSC, Du B, Li LJ, Zeng G, Yuen KY, Chen RC, Tang CL, Wang T, Chen PY, Xiang J, Li SY, Wang JL, Liang ZJ, Peng YX, Wei L, Liu Y, Hu YH, Peng P, Wang JM, Liu JY, Chen Z, Li G, Zheng ZJ, Qiu SQ, Luo J, Ye CJ, Zhu SY, Zhong NS; China Medical Treatment Expert Group for Covid-19. Clinical Characteristics of Coronavirus Disease 2019 in China. N Engl J Med. 2020 Apr 30;382(18):1708-1720. doi: 10.1056/NEJMoa2002032. Epub 2020 Feb 28. — View Citation

Rosenbaum L. Facing Covid-19 in Italy - Ethics, Logistics, and Therapeutics on the Epidemic's Front Line. N Engl J Med. 2020 May 14;382(20):1873-1875. doi: 10.1056/NEJMp2005492. Epub 2020 Mar 18. — View Citation

Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, Wang B, Xiang H, Cheng Z, Xiong Y, Zhao Y, Li Y, Wang X, Peng Z. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. JAMA. 2020 Mar 17;323(11):1061-1069. doi: 10.1001/jama.2020.1585. Erratum in: JAMA. 2021 Mar 16;325(11):1113. — View Citation

Wu C, Chen X, Cai Y, Xia J, Zhou X, Xu S, Huang H, Zhang L, Zhou X, Du C, Zhang Y, Song J, Wang S, Chao Y, Yang Z, Xu J, Zhou X, Chen D, Xiong W, Xu L, Zhou F, Jiang J, Bai C, Zheng J, Song Y. Risk Factors Associated With Acute Respiratory Distress Syndrome and Death in Patients With Coronavirus Disease 2019 Pneumonia in Wuhan, China. JAMA Intern Med. 2020 Jul 1;180(7):934-943. doi: 10.1001/jamainternmed.2020.0994. Erratum in: JAMA Intern Med. 2020 Jul 1;180(7):1031. — View Citation

Wu Z, McGoogan JM. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention. JAMA. 2020 Apr 7;323(13):1239-1242. doi: 10.1001/jama.2020.2648. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary Identify risk factors for intra-hospital mortality. Identify risk factors for intra-hospital mortality in patients admitted to the COVID + hospital wards of San Gerardo hospital. Until patient discharge from the hospital (approximately 1 year)
Primary Identify risk factors to build a prognostic score. Identify the risk factors to build a prognostic score through which it is possible to define a stratification that immediately guides the therapeutic choices. Until patient discharge from the hospital (approximately 1 year)
Primary Identify risk factors to build a prognostic score. Identify the risk factors to build a prognostic score through which it is possible to define a stratification that immediately directs towards the right intensity of care. Until patient discharge from the hospital (approximately 1 year)
Secondary Predictive factors for the hospitalization duration. Description of the predictive factors for the hospitalization duration. Until patient discharge from the hospital (approximately 1 year)
Secondary Predictive factors for clinical status patients based on "Ordinal Scale for Clinical Improvement" Description of the predictive factors for the clinical status of patients based on "Ordinal Scale for Clinical Improvement" defined by OMS ( Until patient discharge from the hospital (approximately 1 year)
Secondary Describe the anti-viral therapies used commonly in this emergency in terms of efficacy Description of efficacy of the anti-viral therapies used today without particular restrictions, but on which solid clinical functioning tests are lacking. Until patient discharge from the hospital (approximately 1 year).
Secondary Describe the anti-viral therapies used commonly used in this emergency in terms of safety Description of safety of the anti-viral therapies used today without particular restrictions, but on which solid clinical functioning tests are lacking. Until patient discharge from the hospital (approximately 1 year).
Secondary Monitor the clinical course of the disease in discharged patients. Description of the disease clinical course in patients 12 months after discharge (mortality, neurological, respiratory and cardiac outcomes). 12 month after discharge
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