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| Name | Class |
|---|---|
| University of KwaZulu | OTHER |
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The infectious disease COVID-19, caused by coronavirus SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2), has been declared a pandemic and an international healthcare emergency by the World Health Organization (WHO). It has spread across the globe, overwhelming healthcare systems by causing high rates of critical illness. Mortality from COVID-19 exceeds 4%, with older people with comorbidities being extremely vulnerable. It is expected that between 50-80% of the world's population may contract SARS-CoV-2 over the next two years. It is expected that the outcomes will be potentially worse in Africa, because firstly, there is a limited workforce, and secondly there are limited intensive care facilities and critical care resources across Africa to provide sufficient care. It is important therefore to establish what resources, comorbidities and interventions are potentially associated with either mortality or survival in patients with COVID-19 who are referred for critical care in Africa. Rapid dissemination of these findings may help mitigate mortality from COVID-19 in critical care patients in Africa. These points provide the rationale for the African COVID-19 Critical Care Outcomes Study (ACCCOS).
The infectious disease COVID-19, caused by coronavirus SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2), has been declared a pandemic and an international healthcare emergency by the World Health Organization (WHO). It has spread across the globe, overwhelming healthcare systems by causing high rates of critical illness. Mortality from COVID-19 exceeds 4%, with older people with comorbidities being extremely vulnerable.It is expected that between 50-80% of the world's population may contract SARS-CoV-2 over the next two years.
It is expected the outcomes to be potentially worse in Africa, because firstly, there is a limited workforce, and secondly there are limited intensive care facilities and critical care resources across Africa to provide sufficient care. It is estimated that there are 0.8 (95% confidence interval 0.3 to 1.45) critical care beds per 100,000 population in Africa. It is likely that the volume of unplanned admissions associated with COVID-19 will further adversely affect critical care outcomes in Africa,especially as the ability of healthcare systems in Africa to adapt and expand during the pandemic to meet the clinical workload is unknown. Furthermore, the patient outcomes in critical care is poorly documented in this under-resourced environment.
Most countries in Africa are still in the early phase of the epidemic which provides the opportunity to study the utilization of critical care resources and their impact on patient outcomes. It is important therefore to establish what resources, comorbidities and interventions are potentially associated with either mortality or survival in Africa. Rapid dissemination of these findings may help inform appropriate resource prioritisation and utilisation during the COVID-19 pandemic in Africa. These points provide the rationale for the African Covid-19 Critical Care Outcomes Study (ACCCOS).
Research questions
Primary outcome The primary outcome is in-hospital mortality in adult patients referred to intensive care or high-care units following suspected or known COVID-19 infection in Africa.
Secondary outcomes To determine the risk factors (resources, comorbidities and interventions) associated with mortality in adult patients with suspected or known COVID-19 infection in Africa.
The study is an African national multi-centre prospective observational cohort study of adult (≥18 years) patients referred to intensive care or high-care units in Africa with suspected or known COVID-19 infection in Africa. Patient follow up will be for a maximum of 30 days in-hospital.
This study will run between May to December 2020, with an interim analysis after 250 to 300 deaths registered in the study, or in June or July 2020 if this number of deaths has not been reported in the study. The reason for the interim analysis, is to potentially provide data which may be associated with improved outcomes in Africa, in timeous manner for possible implementation during this COVID-19 pandemic.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Adult patients with COVID-19 referred to intensive care | Prospective observational cohort study of adult (≥18 years) patients referred to intensive care or high-care units in Africa with suspected or known COVID-19 infection in Africa |
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| Measure | Description | Time Frame |
|---|---|---|
| In-hospital mortality | The primary outcome is in-hospital mortality in adult patients referred to intensive care or high-care units following suspected or known COVID-19 infection in Africa. | 8-12 months |
| Measure | Description | Time Frame |
|---|---|---|
| Risk factors (resources, comorbidities and interventions) associated with mortality | To determine the risk factors (resources, comorbidities and interventions) associated with mortality in adult patients with suspected or known COVID-19 infection in Africa. | 8-12 months |
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Inclusion Criteria:
Exclusion Criteria:
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Adult (≥18 years) patients referred to intensive care or high-care units in Africa with suspected or known COVID-19 infection in Africa.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Bruce M Biccard | Contact | +27214045015 | bruce.biccard@uct.ac.za |
| Name | Affiliation | Role |
|---|---|---|
| Bruce Biccard | University of Cape Town | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Groote Schuur Hospital | Recruiting | Cape Town | Western Cape | 7599 | South Africa |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 32171076 | Background | 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. | |
| 29306587 |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Sep 8, 2020 | Sep 8, 2020 | Prot_SAP_000.pdf |
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| Biccard BM, Madiba TE, Kluyts HL, Munlemvo DM, Madzimbamuto FD, Basenero A, Gordon CS, Youssouf C, Rakotoarison SR, Gobin V, Samateh AL, Sani CM, Omigbodun AO, Amanor-Boadu SD, Tumukunde JT, Esterhuizen TM, Manach YL, Forget P, Elkhogia AM, Mehyaoui RM, Zoumeno E, Ndayisaba G, Ndasi H, Ndonga AKN, Ngumi ZWW, Patel UP, Ashebir DZ, Antwi-Kusi AAK, Mbwele B, Sama HD, Elfiky M, Fawzy MA, Pearse RM; African Surgical Outcomes Study (ASOS) investigators. Perioperative patient outcomes in the African Surgical Outcomes Study: a 7-day prospective observational cohort study. Lancet. 2018 Apr 21;391(10130):1589-1598. doi: 10.1016/S0140-6736(18)30001-1. Epub 2018 Jan 3. |
| 28492122 | Background | Skinner DL, De Vasconcellos K, Wise R, Esterhuizen TM, Fourie C, Goolam Mahomed A, Gopalan PD, Joubert I, Kluyts HL, Mathivha LR, Mrara B, Pretorius JP, Richards G, Smith O, Spruyt MGL, Pearse RM, Madiba TE, Biccard BM, The South African Surgical Outcomes Study Sasos Investigators OBO. Critical care admission of South African (SA) surgical patients: Results of the SA Surgical Outcomes Study. S Afr Med J. 2017 Apr 25;107(5):411-419. doi: 10.7196/SAMJ.2017.v107i5.11455. |
| 22998715 | Background | Pearse RM, Moreno RP, Bauer P, Pelosi P, Metnitz P, Spies C, Vallet B, Vincent JL, Hoeft A, Rhodes A; European Surgical Outcomes Study (EuSOS) group for the Trials groups of the European Society of Intensive Care Medicine and the European Society of Anaesthesiology. Mortality after surgery in Europe: a 7 day cohort study. Lancet. 2012 Sep 22;380(9847):1059-65. doi: 10.1016/S0140-6736(12)61148-9. |
| 26716164 | Background | Biccard BM, Madiba TE; South African Surgical Outcomes Study Investigators. The South African Surgical Outcomes Study: A 7-day prospective observational cohort study. S Afr Med J. 2015 Jun;105(6):465-75. doi: 10.7196/samj.9435. |
| 18929686 | Background | Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009 Apr;42(2):377-81. doi: 10.1016/j.jbi.2008.08.010. Epub 2008 Sep 30. |
| 8970487 | Background | Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol. 1996 Dec;49(12):1373-9. doi: 10.1016/s0895-4356(96)00236-3. |
| 34022988 | Derived | African COVID-19 Critical Care Outcomes Study (ACCCOS) Investigators. Patient care and clinical outcomes for patients with COVID-19 infection admitted to African high-care or intensive care units (ACCCOS): a multicentre, prospective, observational cohort study. Lancet. 2021 May 22;397(10288):1885-1894. doi: 10.1016/S0140-6736(21)00441-4. |