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COVID-19 has significant detrimental impacts on surgical systems and patient outcomes. CovidSurg has provided the best available evidence to guide delivery of safe surgery during the pandemic. However, CovidSurg data were collected in 2020 when the wildtype SARS-CoV-2 virus was dominant, and therefore there is a need to for renewed rapid data to guide global practice during Omicron COVID-19 waves.
CovidSurg-3 is an extension to CovidSurg and was initiated in response to the emergence of the Omicron variant.
CovidSurg-3 has two separate components:
Data collected in 2020 found patients with perioperative SARS-CoV-2 infection to be at increased risk of postoperative mortality (up to 24% at 30-days), pulmonary complications (up to 51% at 30-days), and venous thromboembolism1-5. Perioperative SARS-CoV-2 infection has been associated with increased mortality, morbidity, longer length of stay, and increased health system burdens compared to SARS-CoV-2 negative patients6-8.
During the first COVID-19 wave, over 28 million elective operations worldwide were either cancelled or delayed9. This enabled redistribution of staff and resources to meet COVID-19 demand, but resulted in substantial treatment delays, including for cancer patients10-11. COVID-19 lockdowns were associated with one in seven patients awaiting cancer surgery not being operated, and those patients who were operated experienced delays10.
In 2020 CovidSurg captured outcomes on over 190,000 patients across >2,000 hospitals in 116 countries. This resulted in data-driven guidance for surgical systems during the pandemic, including:
The Omicron SARS-CoV-2 variant of concern was first reported on 25 November 2021 and has spread globally rapidly15. There is a high-level of evidence indicating Omicron has increased transmissibility and potential to evade immunity16-18. However, there is little robust evidence regarding disease severity associated with Omicron in both vaccinated and unvaccinated patients (including in surgical patients), nor is there data to guide patient risk stratification during Omicron COVID-19 waves18.
COVID-19 has significant detrimental impacts on surgical systems and patient outcomes. CovidSurg has provided the best available evidence to guide delivery of safe surgery during the pandemic. However, CovidSurg data were collected in 2020 when the wildtype SARS-CoV-2 virus was dominant, and therefore there is a need to for renewed rapid data to guide global practice during Omicron COVID-19 waves.
The primary objective is to determine 30-day mortality in patients with peri-operative SARS-CoV-2 infection. This will inform future risk stratification, decision making, and patient consent.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Control (normal practice) | Patients that underwent surgery (across all specialities), performed by a surgeon in an operating theatre, AND had a positive SARS-CoV-2 PCR swab or rapid antigen test (if PCR swab is not available) within 7 days before or 30 days after surgery. Patients can be included regardless of whether a specific variant is suspected or unknown |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Surgery (across all specialities) | Procedure | Surgery performed by a surgeon in an operating theatre during the patient inclusion period |
|
| Measure | Description | Time Frame |
|---|---|---|
| To determine 30-day mortality in patients with peri-operative SARS-CoV-2 infection | Collection of outcome data (up to 30 days post-surgery) for patients with peri-operative SARS-CoV-2 | Up to 30 days post-surgery |
| Measure | Description | Time Frame |
|---|---|---|
| Rates of post-operative pulmonary complication and venous thromboembolism | To determine 30-day postoperative pulmonary complication and venous thromboembolism rates in patients with peri-operative SARS-CoV-2 infection | Up to 30 days post-surgery |
| Evaluate implementation of SARS-CoV-2 mitigations and adaptations (vaccination, preoperative testing, COVID-free surgical pathways, patient selection) |
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Inclusion Criteria:
Exclusion Criteria:
All consecutive patients fulfilling inclusion criteria across all specialities should be captured.
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All patients that underwent a surgical procedure during the patient inclusion period - 13 December 2021 to 28 February 2022 inclusive, regardless of surgical indication (benign surgery, cancer surgery, trauma, obstetric), anaesthetic type (local, regional, general), surgical approach (minimally invasive surgery, open surgery), or whether it is day-case or in-patient surgery
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Dmitri Nepogodiev | Contact | +44 (0)121 6272949 | D.Nepogodiev@bham.ac.uk | |
| Harvinder Mann | Contact | hmann@hotmail.co.uk |
| Name | Affiliation | Role |
|---|---|---|
| Aneel Bhangu | University of Birmingham | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Birmingham | Birmingham | United Kingdom |
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| ID | Term |
|---|---|
| D000086382 | COVID-19 |
| ID | Term |
|---|---|
| D011024 | Pneumonia, Viral |
| D011014 | Pneumonia |
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
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| ID | Term |
|---|---|
| D013514 | Surgical Procedures, Operative |
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Data collected will help inform future risk stratification and decision making |
| Recruitment period (mid Dec 2021 - end Feb 2022) |
| Frequency of peri-operative SARS-CoV-2 infection | To determine the frequency of peri-operative SARS-CoV-2 infection by collecting aggregated case-mix data at a hospital-level over blocks of 7 consecutive days | 56 days |
| Frequency of same-day elective surgery cancellations | To determine the frequency of same-day elective surgery cancellations over blocks of 7 consecutive days | 56 days |
| D014777 |
| Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |