BACKGROUND:The aims of this study were to provide data on the safety of head and neck cancer surgery currently being undertaken during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: This international, observational cohort study comprised 1137 consecutive patients with head and neck cancer undergoing primary surgery with curative intent in 26 countries. Factors associated with severe pulmonary complications in COVID-19-positive patients and infections in the surgical team were determined by univariate analysis. RESULTS: Among the 1137 patients, the commonest sites were the oral cavity (38%) and the thyroid (21%). For oropharynx and larynx tumors, nonsurgical therapy was favored in most cases. There was evidence of surgical de-escalation of neck management and reconstruction. Overall 30-day mortality was 1.2%. Twenty-nine patients (3%) tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) within 30 days of surgery; 13 of these patients (44.8%) developed severe respiratory complications, and 3.51 (10.3%) died. There were significant correlations with an advanced tumor stage and admission to critical care. Members of the surgical team tested positive within 30 days of surgery in 40 cases (3%). There were significant associations with operations in which the patients also tested positive for SARS-CoV-2 within 30 days, with a high community incidence of SARS-CoV-2, with screened patients, with oral tumor sites, and with tracheostomy. CONCLUSIONS: Head and neck cancer surgery in the COVID-19 era appears safe even when surgery is prolonged and complex. The overlap in COVID-19 between patients and members of the surgical team raises the suspicion of failures in cross-infection measures or the use of personal protective equipment. Cancer 2020;0:1-13.
Background This study aimed to determine the impact of pulmonary complications on death after surgery both before and during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. Methods This was a patient-level, comparative analysis of two, international prospective cohort studies: one before the pandemic (January–October 2019) and the second during the SARS-CoV-2 pandemic (local emergence of COVID-19 up to 19 April 2020). Both included patients undergoing elective resection of an intra-abdominal cancer with curative intent across five surgical oncology disciplines. Patient selection and rates of 30-day postoperative pulmonary complications were compared. The primary outcome was 30-day postoperative mortality. Mediation analysis using a natural-effects model was used to estimate the proportion of deaths during the pandemic attributable to SARS-CoV-2 infection. Results This study included 7402 patients from 50 countries; 3031 (40.9 per cent) underwent surgery before and 4371 (59.1 per cent) during the pandemic. Overall, 4.3 per cent (187 of 4371) developed postoperative SARS-CoV-2 in the pandemic cohort. The pulmonary complication rate was similar (7.1 per cent (216 of 3031) versus 6.3 per cent (274 of 4371); P = 0.158) but the mortality rate was significantly higher (0.7 per cent (20 of 3031) versus 2.0 per cent (87 of 4371); P < 0.001) among patients who had surgery during the pandemic. The adjusted odds of death were higher during than before the pandemic (odds ratio (OR) 2.72, 95 per cent c.i. 1.58 to 4.67; P < 0.001). In mediation analysis, 54.8 per cent of excess postoperative deaths during the pandemic were estimated to be attributable to SARS-CoV-2 (OR 1.73, 1.40 to 2.13; P < 0.001). Conclusion Although providers may have selected patients with a lower risk profile for surgery during the pandemic, this did not mitigate the likelihood of death through SARS-CoV-2 infection. Care providers must act urgently to protect surgical patients from SARS-CoV-2 infection.
To support the global restart of elective surgery, data from an international prospective cohort study of 8492 patients (69 countries) was analysed using artificial intelligence (machine learning techniques) to develop a predictive score for mortality in surgical patients with SARS-CoV-2. We found that patient rather than operation factors were the best predictors and used these to create the COVIDsurg Mortality Score (https://covidsurgrisk.app). Our data demonstrates that it is safe to restart a wide range of surgical services for selected patients.
Background: The outbreak of COVID-19 has caused ever-increasing attention and public panic all over the world. Until now, data are limited about the risk factors to virus shedding in COVID-19 infected patients. Methods: In this retrospective study, data were collected from 87 patients hospitalized with COVID-19 infection in Suzhou. Using Cox proportional hazards regression and Kaplan-Meier survival analysis, the risk factors to COVID-19 RNA shedding was to be established according to demographic information, clinical characteristics, epidemiological history, antiviral medicine and corticosteroid administration. Results: The median duration of COVID-19 RNA shedding from admission was 13.11 ± 0.76 days. There was no significant difference in viral shedding duration in terms of gender, age, history of Hubei province stay, characteristics of chest CT on admission, lymphocytopenia and clinical severity. By Cox proportional hazards model, excessive 200 mg cumulative corticosteroid (HR, 3.425 [95% CI, 1.339-7.143]), time from illness onset to hospitalization (<5 days) (HR, 2.503 [95% CI, 1.433-4.371]) and arbidol-included therapy (HR, 2.073 [95% CI, 1.185-3.626]) were the independent risk factors to delay COVID-19 RNA shedding. Besides of excessive 200 mg of cumulative corticosteroid (HR, 2.825 [95% CI, 1.201-6.649]), admission within 5 days from illness onset (HR, 2.493 [95% CI, 1.393-4.462]) and arbidol-included therapy (HR, 2.102 [95% CI, 1.073-4.120]), lymphocytopenia (HR, 2.153 [95% CI, 1.097-4.225]) was further identified as another unfavorable factor to 10-day viral shedding. Conclusions: The potential risk factors could help clinicians to identify patients with delayed viral shedding, thereby providing the rational strategy of treatment and optimal anti-viral interventions.
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