Background and Goal of Study: The SAS is wholly part of surgical safety monitoring programmes and is derived from calculating 3 intraoperative variables: estimated blood loss (EBL), low heart rate (L-HR) and low mean arterial pressure (L-MAP). 
Evidence shows its superiority in stratifying surgical risk, as well as its possible use in predicting postoperative morbidity after major abdominal surgery. 
Gastric malignancies are highly prevalent. Although gastrectomy followed by limphadenectomy imposes significant post-operative morbidity, it still the chosen treatment. 
The aim of this study is to assess the post-operative morbidity and mortality predictive value of the SAS in total and subtotal gastrectomies. 
Materials and Methods: Retrospective study based on the review of sociodemographical and clinical data relating to total or subtotal gastrectomies due to oncological pathology occurring between January 2014 and June 2016 in our hospital. 94 procedures were analysed. 
The following groups of variables were considered: 
i) preoperative (gender; age; ASA classification, Body Mass Index (BMI); the TNM stage of neoplasia;
ii) intraoperative (type of surgery, duration, SAS, L-HR; EBL; L-MAP);
iii) postoperative (duration of hospitalisation; occurrence and characterisation of morbidity and mortality).
Patients were categorised according to their functional stage (ASA) and SAS.
Sstatistical analysis was carried out using standardized significance and confidence levels.
Results and Discussion: 58 partial and 34 total gastrectomies were analysed, achieving a mean SAS of 7.8 (± 1.49) and a mean duration of 186 minutes (±73.43). Low SAS were significantly associated with postoperative complications and longer hospitalisations (p< 0.05). 
Among the 55.3 % of patients who developed complications, more precarious prior functional stages and lower mean SAS (p< 0.05)were observed (p< 0.05). There was no statistically significant association between SAS and early or late postoperative mortality (p>0.05). 
Monitoring of the SAS can be a valuable tool in predicting postoperative morbidity, providing an early indication of the need for further care. 
Proper recording of morbidity indicators may lead to a continuous improvement of practices and optimisation of clinical decisions. 
Conclusion(s): The present study stresses the potential role of SAS, complemented with rigorous stratification of patients, in preemptive planning of care in order to mitigate post-surgical morbidity.

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