Peri-operative SARS-CoV-2 infection increases postoperative mortality. The aim of this study was to determine the optimal duration of planned delay before surgery in patients who have had SARS-CoV-2 infection. This international, multicentre, prospective cohort study included patients undergoing elective or emergency surgery during October 2020. Surgical patients with pre-operative SARS-CoV-2 infection were compared with those without previous SARS-CoV-2 infection. The primary outcome measure was 30-day postoperative mortality. Logistic regression models were used to calculate adjusted 30-day mortality rates stratified by time from diagnosis of SARS-CoV-2 infection to surgery. Among 140,231 patients (116 countries), 3127 patients (2.2%) had a pre-operative SARS-CoV-2 diagnosis. Adjusted 30-day mortality in patients without SARS-CoV-2 infection was 1.5% (95%CI 1.4-1.5). In patients with a pre-operative SARS-CoV-2 diagnosis, mortality was increased in patients having surgery within 0-2 weeks, 3-4 weeks and 5-6 weeks of the diagnosis (odds ratio (95%CI) 4.1 (3.3-4.8), 3.9 (2.6-5.1) and 3.6 (2.0-5.2), respectively). Surgery performed ≥ 7 weeks after SARS-CoV-2 diagnosis was associated with a similar mortality risk to baseline (odds ratio (95%CI) 1.5 (0.9-2.1)). After a ≥ 7 week delay in undertaking surgery following SARS-CoV-2 infection, patients with ongoing symptoms had a higher mortality than patients whose symptoms had resolved or who had been asymptomatic (6.0% (95%CI 3.2-8.7) vs. 2.4% (95%CI 1.4-3.4) vs. 1.3% (95%CI 0.6-2.0), respectively). Where possible, surgery should be delayed for at least 7 weeks following SARS-CoV-2 infection. Patients with ongoing symptoms ≥ 7 weeks from diagnosis may benefit from further delay.

Patients exposed to a surgical safety checklist experience better postoperative outcomes, but this could simply reflect wider quality of care in hospitals where checklist use is routine.

Objective We sought to determine whether race or ethnicity is independently associated with mortality or intensive care unit (ICU) length of stay (LOS) among critically ill patients after accounting for patients' clinical and demographic characteristics including socioeconomic status and resuscitation preferences. Design Historical cohort study of patients hospitalized in intensive care units. Setting Adult intensive care units in 35 California hospitals during the years 2001-2004. Patients A total of 9,518 ICU patients (6334 white, 655 black, 1917 Hispanic and 612 Asian/Pacific Islander patients). Measurements and Main Results The primary outcome was risk-adjusted mortality and a secondary outcome was risk-adjusted ICU LOS. Crude hospital mortality was 15.9% among the entire cohort. Asian patients had the highest crude hospital mortality at 18.6% and black patients had the lowest at 15.0%. After adjusting for age and gender, Hispanic and Asian patients had a higher risk of death compared to white patients, but these differences were not significant after additional adjustment for severity of illness. Black patients had more acute physiologic derangements at ICU admission and longer unadjusted ICU LOS. ICU LOS was not significantly different among racial/ethnic groups after adjustment for demographic, clinical, socioeconomic factors and do-not-resuscitate status. In an analysis restricted only to those who died, decedent black patients averaged 1.1 additional days in the ICU (95% CI – 0.26 to 2.6) compared to white patients who died, although this was not statistically significant. Conclusions Hospital mortality and ICU LOS did not differ by race or ethnicity among this diverse cohort of critically ill patients after adjustment for severity of illness, resuscitation status, SES, insurance status and admission type. Black patients had more acute physiologic derangements at ICU admission and were less likely to have a DNR order. These results suggest that among ICU patients, there are not racial or ethnic differences in mortality within individual hospitals. If disparities in ICU care exist, they may be explained by differences in the quality of care provided by hospitals that serve high proportions of minority patients.