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: * Patient-level component: Collection of outcome data for patients with peri-operative SARS-CoV-2. * Hospital-level component: Collection of aggregated case-mix data. Hospitals in countries with low community SARS-CoV-2 infection rates can contribute towards this component.
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: * Guidance regarding the optimal delay prior to surgery following SARS-CoV-2 infection4. * The establishment of COVID-19-free surgical pathways to reduce nosocomial infection and complication2. * The non-effectiveness avoidance of preoperative isolation12. * Optimal preoperative SARS-CoV-2 screening protocols13. * Potential benefits of preoperative vaccination14. 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.
Study Type
OBSERVATIONAL
Enrollment
2,000
Surgery performed by a surgeon in an operating theatre during the patient inclusion period
University of Birmingham
Birmingham, United Kingdom
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
Time frame: Up to 30 days post-surgery
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
Time frame: Up to 30 days post-surgery
Evaluate implementation of SARS-CoV-2 mitigations and adaptations (vaccination, preoperative testing, COVID-free surgical pathways, patient selection)
Data collected will help inform future risk stratification and decision making
Time frame: 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
Time frame: 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
Time frame: 56 days
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