OS07.9.A Gliocova: Impact of surgeon and centre volume on 30-day mortality, readmission and risk of complication after first surgical intervention in brain tumour patients in England diagnosed between 2013-2018

Abstract Background The Gliocova dataset uses linked English national cancer data on all 51,775 adult primary brain tumour patients diagnosed between 2013-2018. Here we are investigating the effect of surgeon and centre volume on post-surgical outcomes such as 30-day mortality, readmission and risk of complication. Material and Methods We selected patients from our dataset that have undergone surgical debulking or biopsy for the first time. We calculated surgeon and centre volume per 6 year period. To exclude non-tumour surgeons who might do occasional tumour cases as an emergency, we removed those that performed less than 12 operations over the 6 year period and to remove newly qualified/ near retirement surgeons we removed those that did not perform at least 1 operation within the 6 first months of 2013 and last 6 months of 2018. We developed univariate regression models to link surgeon and centre volume with 30-day mortality, readmission and risk of complication and are currently working on multivariate models including other predictors such as age, sex, Elixhauer comorbidity index, deprivation status, type of intervention (biopsy vs surgical debulking), and tumour type (i.e., Glioblastoma versus other types of brain tumours). Results We identified 29,258 patients (out of 51,775) that have undergone a surgical intervention (28,173 surgical debulking; and 1,207 biopsy). In-hospital mortality was 0.99% (N = 289), 30-day mortality was 2.3% (N = 677) and 30-day readmission was 12.7% (N = 3,725). No surgeons performed less than 1 operation during the first 6 months of 2013 or last 6 months of 2018. In univariate analyses, centre volume predicted the risk of 30-day mortality (p-value