Predictors of in-hospital mortality in patients undergoing elective surgery in a university hospital: a prospective cohort

• Published in: Revista brasileira de anestesiologia 2018-10, Vol.68 (5), p.492-498
• Main Authors: Adriene Stahlschmidt, Betânia Novelo, Luiza Alexi Freitas, Sávio Cavalcante Passos, Jairo Alberto Dussán-Sarria, Elaine Aparecida Félix, Patrícia Wajnberg Gamermann, Wolnei Caumo, Luciana Paula Cadore Stefani
• Format: Article
• Language: English
• Subjects: Hospital mortality; Non-elective surgeries; Perioperative care; Postoperative complications
• ISSN: 1806-907X
• DOI: 10.1016/j.bjane.2018.04.009

Abstract Introduction Morbidity and mortality associated with urgent or emergency surgeries are high compared to elective procedures. Perioperative risk scores identify the non-elective character as an independent factor of complications and death. The present study aims to characterize the population undergoing non-elective surgeries at the Hospital de Clínicas de Porto Alegre and identify the clinical and surgical factors associated with death within 30 days postoperatively. Methodology A prospective cohort study of 187 patients undergoing elective surgeries between April and May 2014 at the Hospital de Clínicas, Porto Alegre. Patient-related data, pre-operative risk situations, and surgical information were evaluated. Death in 30 days was the primary outcome measured. Results The mean age of the sample was 48.5 years, and 84.4% of the subjects had comorbidities. The primary endpoint was observed in 14.4% of the cases, with exploratory laparotomy being the procedure with the highest mortality (47.7%). After multivariate logistic regression, age (odds ratio [OR] 1.0360, p < 0.05), anemia (OR 3.961, p < 0.05), acute or chronic renal insufficiency (OR 6.075, p < 0.05), sepsis (OR 7.027, p < 0.05), and patient-related risk factors for mortality, in addition to the large surgery category (OR 7.502, p < 0.05) were identified. Conclusion The high mortality rate found may reflect the high complexity of the institution's patients. Knowing the profile of the patients assisted helps in the definition of management priorities, suggesting the need to create specific care lines for groups identified as high risk in order to reduce perioperative complications and deaths.