- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05083013
Diabetes In Relation to Hospitalized COVID-19 Patents At Assiut University Hospital
Outcomes of Diabetes In Hospitalized COVID-19 Patients At Assiut University Hospital
Study Overview
Status
Conditions
Detailed Description
Knowing about the family of coronaviruses is that they are the cause of a variety of well-known diseases affecting humans, ranging from common cold to the Middle East Respiratory Syndrome (MERS) and Acute Severe Respiratory Syndrome (SARS), and now the COVID-19 as a new problematic family member.
Regarding DM as a knowing old health problem, it has been found that we can use it in predicting the prognosis of the COVID-19 as admission to intensive care unit, invasive ventilation or even death.
Previous studies confirmed that uncontrolled DM can badly affects innate immunity which considered as the first line of defence mechanism against COVID-19 infection.
In addition, DM has a pro-inflammatory effect through exaggeration of cytokine response which appears clearly through higher results of serum levels of interleukin-6 (IL-6), C-reactive protein and ferritin, this suggests that people with DM are more venerable to cytokine storm which leads to Acute Respiratory Distress Syndrome (ARDS), shock and rapid deterioration of the case.
On the other hand, on looking to previous studies and data collected about the prior SARS outbreak in 2003, which suggested that COVID-19 can lead to worsening of glycemic control in known diabetic patients and above that caused by the stressful nature of a critical illness.
In addition, COVID-19 can lead to increasing insulin resistance specially in patients with type II DM. Also, the medications used in the management of COVID-19 having an indirect role on worsening of blood sugar levels also should be taken in our consideration, Corticosteroids as an example, used in the management of patients having ARDS or sepsis can lead to changes in their glycemic profile.
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Contact
- Name: Raafat T. Ebrahem, MD
- Phone Number: +201006155517
- Email: raafatelsokkary1@gmail.com
Study Contact Backup
- Name: Ahmed M. Azozz, MD
- Phone Number: +201002163907
- Email: ahmedmetwally@aun.edu.eg
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
All patients admitted to Assiut University Hospital from the 1st of Oct. 2021 to 1st of Oct. 2022 with confirmed COVID-19 infection, will be included, based on WHO case definitions of COVID-19 All patients will be surveyed and scored by the criteria of COVID-19 severity index, and accordingly categorized into low, moderate, high and critically ill cases All patients will be screened for DM according to history and blood glucose measurements as well as HbA1C.
Accordingly, the patients will be divided into two groups, diabetic and non-diabetic group.
Diabetic patients' group will be categorized according to their glycemic control by using their glycated hemoglobin (HBA1C) used to determine their past two to three-month glycemic control, into good control, fair control and poor control
Description
Inclusion Criteria:
- Cases aged 18 years and over.
- Cases diagnosed as COVID-19 positive.
- Cases admitted to Assiut University Hospitals.
Exclusion Criteria:
- Age less than 18 years.
- Outpatient management (even in confirmed cases of COVID-19).
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
COVID-19 with DM
All patients will be screened for diabetes according to history and blood glucose measurements as well as HbA1C. Accordingly, the patients will be divided into two groups, diabetic and non-diabetic group. |
For SARS Corona Virus 2 (COV2) confirmation
Other Names:
Diabetic patients' group will be categorized according to their glycemic control by using their glycated haemoglobin (HBA1C) into good control, fair control and poor control
Other Names:
with the coronavirus disease 2019 Reporting and Data System (CO-RADS) classification grade 5 for SARS COV2 confirmation
Other Names:
Blood Sugar will be measured before each meal and before bed time during hospitalization.
|
|
COVID-19 without DM
All patients will be screened for diabetes according to history and blood glucose measurements as well as HbA1C. Accordingly, the patients will be divided into two groups, diabetic and non-diabetic group. |
For SARS Corona Virus 2 (COV2) confirmation
Other Names:
Diabetic patients' group will be categorized according to their glycemic control by using their glycated haemoglobin (HBA1C) into good control, fair control and poor control
Other Names:
with the coronavirus disease 2019 Reporting and Data System (CO-RADS) classification grade 5 for SARS COV2 confirmation
Other Names:
Blood Sugar will be measured before each meal and before bed time during hospitalization.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Mortality rates
Time Frame: up to 1 year
|
mortality rate among diabetic and non diabetic COVID-19 patients
|
up to 1 year
|
|
Hospital stays
Time Frame: up to 1 year
|
for how long patients admitted to hospital
|
up to 1 year
|
|
Need for ICU admission
Time Frame: up to 1 year
|
who will need ICU admission during patient hospitalization
|
up to 1 year
|
|
Need for ventilatory support
Time Frame: up to 1 year
|
who will need for ventilatory support (Non-Invasive ventilation (NIV), High Flow Nasal Cannula (HFNC) and Invasive Mechanical Ventilation (IMV).
|
up to 1 year
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Glycemic control
Time Frame: up to 1 year
|
monitoring of glycemic control among patient groups
|
up to 1 year
|
|
Newly onset DM will appear among non-diabetic patients
Time Frame: up to 1 year
|
who will develop DM among non-diabetic group
|
up to 1 year
|
|
Acute complications of diabetes
Time Frame: up to 1 year
|
as hypoglycaemia, diabetic ketoacidosis and hyperosmolar nonketotic coma
|
up to 1 year
|
|
Exacerbation of chronic complications of diabetes
Time Frame: up to 1 year
|
as diabetic retinopathy, nephropathy and neuropathy
|
up to 1 year
|
|
Changes of diabetes management plan
Time Frame: up to 1 year
|
who will be shifted from oral to insulin therapy and who will be changed of their insulin regimen or introduction form from subcutaneous to intravenous infusion
|
up to 1 year
|
|
Incidence of other complications
Time Frame: up to 1 year
|
as hypertension renal and liver diseases
|
up to 1 year
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Martina S. Lamey Eskander, MBBCH., Assiut University
Publications and helpful links
General Publications
- Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, Xiang J, Wang Y, Song B, Gu X, Guan L, Wei Y, Li H, Wu X, Xu J, Tu S, Zhang Y, Chen H, Cao B. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020 Mar 28;395(10229):1054-1062. doi: 10.1016/S0140-6736(20)30566-3. Epub 2020 Mar 11. Erratum In: Lancet. 2020 Mar 28;395(10229):1038. Lancet. 2020 Mar 28;395(10229):1038.
- 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.
- Grasselli G, Zangrillo A, Zanella A, Antonelli M, Cabrini L, Castelli A, Cereda D, Coluccello A, Foti G, Fumagalli R, Iotti G, Latronico N, Lorini L, Merler S, Natalini G, Piatti A, Ranieri MV, Scandroglio AM, Storti E, Cecconi M, Pesenti A; COVID-19 Lombardy ICU Network. Baseline Characteristics and Outcomes of 1591 Patients Infected With SARS-CoV-2 Admitted to ICUs of the Lombardy Region, Italy. JAMA. 2020 Apr 28;323(16):1574-1581. doi: 10.1001/jama.2020.5394. Erratum In: JAMA. 2021 May 25;325(20):2120.
- Prokop M, van Everdingen W, van Rees Vellinga T, Quarles van Ufford H, Stoger L, Beenen L, Geurts B, Gietema H, Krdzalic J, Schaefer-Prokop C, van Ginneken B, Brink M; COVID-19 Standardized Reporting Working Group of the Dutch Radiological Society. CO-RADS: A Categorical CT Assessment Scheme for Patients Suspected of Having COVID-19-Definition and Evaluation. Radiology. 2020 Aug;296(2):E97-E104. doi: 10.1148/radiol.2020201473. Epub 2020 Apr 27.
- Kassir R. Risk of COVID-19 for patients with obesity. Obes Rev. 2020 Jun;21(6):e13034. doi: 10.1111/obr.13034. Epub 2020 Apr 13. No abstract available.
- Guan WJ, Liang WH, Zhao Y, Liang HR, Chen ZS, Li YM, Liu XQ, Chen RC, Tang CL, Wang T, Ou CQ, Li L, Chen PY, Sang L, Wang W, Li JF, Li CC, Ou LM, Cheng B, Xiong S, Ni ZY, Xiang J, Hu Y, Liu L, Shan H, Lei CL, 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, Cheng LL, Ye F, Li SY, Zheng JP, Zhang NF, Zhong NS, He JX; China Medical Treatment Expert Group for COVID-19. Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis. Eur Respir J. 2020 May 14;55(5):2000547. doi: 10.1183/13993003.00547-2020. Print 2020 May.
- Jafar N, Edriss H, Nugent K. The Effect of Short-Term Hyperglycemia on the Innate Immune System. Am J Med Sci. 2016 Feb;351(2):201-11. doi: 10.1016/j.amjms.2015.11.011.
- Guo W, Li M, Dong Y, Zhou H, Zhang Z, Tian C, Qin R, Wang H, Shen Y, Du K, Zhao L, Fan H, Luo S, Hu D. Diabetes is a risk factor for the progression and prognosis of COVID-19. Diabetes Metab Res Rev. 2020 Mar 31;36(7):e3319. doi: 10.1002/dmrr.3319. Online ahead of print.
- Huespe I, Carboni Bisso I, Di Stefano S, Terrasa S, Gemelli NA, Las Heras M. COVID-19 Severity Index: A predictive score for hospitalized patients. Med Intensiva (Engl Ed). 2020 Dec 29;46(2):98-101. doi: 10.1016/j.medin.2020.12.001. Online ahead of print. No abstract available.
- Moftakhar L, Moftakhar P, Piraee E, Ghaem H, Valipour A, Azarbakhsh H. Epidemiological characteristics and outcomes of COVID-19 in diabetic versus non-diabetic patients. Int J Diabetes Dev Ctries. 2021 Jul;41(3):383-388. doi: 10.1007/s13410-021-00930-y. Epub 2021 Feb 9.
Study record dates
Study Major Dates
Study Start (Anticipated)
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
Additional Relevant MeSH Terms
- Glucose Metabolism Disorders
- Metabolic Diseases
- Coronavirus Infections
- Coronaviridae Infections
- Nidovirales Infections
- RNA Virus Infections
- Virus Diseases
- Infections
- Respiratory Tract Infections
- Respiratory Tract Diseases
- Pneumonia, Viral
- Pneumonia
- Lung Diseases
- Endocrine System Diseases
- COVID-19
- Diabetes Mellitus
- Physiological Effects of Drugs
- Peripheral Nervous System Agents
- Analgesics
- Sensory System Agents
- Anti-Inflammatory Agents, Non-Steroidal
- Analgesics, Non-Narcotic
- Anti-Inflammatory Agents
- Antirheumatic Agents
- Chrysarobin
Other Study ID Numbers
- outcomes of DM in COVID-19
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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