Risk score for Cancer patients undergoing non-cardiac surgery (SCANS)

• Grant number: 23/06785-1
• Support Opportunities: Scholarships in Brazil - Doctorate (Direct)
• Start date: June 01, 2024
• End date: May 31, 2027
• Field of knowledge: Health Sciences - Medicine - Medical Clinics
• Principal Investigator: Ludhmila Abrahão Hajjar
• Grantee: Lucas Takeshi Ikeoka
• Host Institution: Instituto do Coração Professor Euryclides de Jesus Zerbini (INCOR). Hospital das Clínicas da Faculdade de Medicina da USP (HCFMUSP). Secretaria da Saúde (São Paulo - Estado). São Paulo , SP, Brazil

Abstract

Patients with cancer are at higher risk of developing cardiovascular complications and account for more than 9 million surgeries annually. Despite this precedence, these patients continue to be assessed preoperatively through cardiovascular indexes developed for general population. Hypothesis: The analysis of the particularities of the cancer patient will enable the development of an surgical risk index with superior discriminative power than those used nowadays. Study objectives: Primary: development and validation of a surgical risk index for postoperative complications in 30 days or until hospital discharge Secondary: Evaluate the incidence of cardiovascular, infectious, neurologic and respiratory and surgical complications in 30 days or until hospital discharge. Study design: Observational, unicentric, longitudinal and prospective. Methodology: Demographic, clinical and cirurgical data collection and outcome follow-up through institutional patient records. Development of a data-bank specific to the study. Duration of the study: 3 years Alocation: 1st year of recruitment: derivation group 2nd year of recruitment: validation group Primary outcome: Major postoperative complications in patients with cancer undergoing non-cardiac surgery in 30 days or until hospital discharge. Follow-up duration: Patients will be followed for approximately 45 since its preoperative evaluation until 30 days post surgery (or until hospital discharge in prolonged hospitalizations) Sample size: 5.000 Statistical analysis: Univariate analysis followe by multivariate logistic regression through stepwise procedure for the selection of variables with p<0.1 in the univariate analysis Study goal: Develop a specific surgical risk index for patients with cancer undergoing non-cardiac surgery. (AU)