Relationship Between Volume and In-hospital Mortality in Digestive Oncological Surgery

Autor: Marisa Baré, Ángel Touma-Fernández, Antonio Sarría-Santamera, Paloma Pérez-López
Rok vydání: 2016
Předmět:
Zdroj: Cirugía Española (English Edition). 94:151-158
ISSN: 2173-5077
DOI: 10.1016/j.cireng.2016.02.019
Popis: Introduction The results previously obtained in Spain in the study of the relationship between surgical caseload and in-hospital mortality are inconclusive. The aim of this study is to evaluate the volume–outcome association in Spain in the setting of digestive oncological surgery. Methods An analytical, cross-sectional study was conducted with data from patients who underwent surgical procedures with curative intent of esophageal, gastric, colorectal and pancreatic neoplasms between 2006 and 2009 with data from the Spanish MBDS. In-hospital mortality was used as outcome variable. Control variables were patient, health care and hospital characteristics. Exposure variable was the number of interventions for each disease, dividing the hospitals in 3 categories: high volume (HV), mid volume (MV) and low volume (LV) according to the number of procedures. Results An inverse, statistically significant relationship between procedure volume and in-hospital mortality was observed for both volume categories in both gastric (LV: OR = 1.50 [IC 95%: 1.28–1.76]; MV: OR = 1.49 (IC 95%: 1.28–1.74)) and colorectal (LV: OR = 1.44 [IC 95%: 1.33–1.55]; MV: OR = 1.24 [IC 95%: 1.15–1.33]) cancer surgery. In pancreatic procedures, this difference was only statistically significant between LV and HV categories (LV: OR = 1.89 [IC 95%: 1.29–2.75]; MV: OR = 1.21 [IC 95%: 0.82–1.79]). Esophageal surgery also showed an inverse relationship, which was not statistically significant (LV: OR = 1.89 [IC 95%: 0.98–3.64]; MV: OR = 1.05 [IC 95%: 0.50–2.21]). Conclusions The results of this study suggest the existence in Spain of an inverse relationship between caseload and in-hospital mortality in digestive oncological surgery for the procedures analysed.
Databáze: OpenAIRE