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Cardiovascular complications of surgery for musculoskeletal conditions

Grant number: 14/50674-0
Support Opportunities:Regular Research Grants
Duration: May 01, 2015 - April 30, 2017
Field of knowledge:Health Sciences - Medicine - Surgery
Convênio/Acordo: University of Sydney
Mobility Program: SPRINT - Projetos de pesquisa - Mobilidade
Principal Investigator:Lais Helena Navarro e Lima
Grantee:Lais Helena Navarro e Lima
Principal researcher abroad: Manuela Ferreira
Institution abroad: University of Sydney, Australia
Host Institution: Faculdade de Medicina (FMB). Universidade Estadual Paulista (UNESP). Campus de Botucatu. Botucatu , SP, Brazil
Associated research grant:12/18870-9 - Intravenous fluid therapy in major open abdominal surgery: comparing standard of care versus bolus therapy, AP.R


Surgery for musculoskeletal (MSK) conditions is among the fastest growing groups of surgical procedures across the world. At present, however, we lack robust data on cardiovascular (CV) outcomes for the MSK surgical procedures. Objectives: To describe and analyze adverse events associated with MSK surgical procedures, with particular focus on CV outcomes and cause-specific mortality. Methods: We propose a data linkage study, linking questionnaire data from the 45 and Up Study and from the NSW Register of Births Deaths and Marriages to follow-up data on hospitalization and mortality at The George Institute for Global Health (Australia). In Brazil, an adapted questionnaire data, based on the 45 and Up Study, and data from the electronic medical records at the Clinics Hospital of Botucatu Medical School will be recorded. Patients admitted to hospital to undergo surgical procedures performed for hip, knee, or spine will be included. Measures of health care use, such as length of hospital stay and costs of care, will be also evaluated. CV disease development up to 2 years post-procedure will also be analyzed. Statistical methods: Linked data will be analyzed using Cox proportional hazards modelling of individual outcomes relating to CV complications. Comparisons among procedures will be performed using t tests. Univariate and multivariate Cox regression modelling will be used to quantify the risk of surgical complications and health care. (AU)

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