Postoperative Complications in Major Surgery

The primary objective of this study is to develop and validate a multivariable risk prediction model for 30-day major postoperative complications and mortality in patients undergoing major surgery across participating international centers. Despite advancements in perioperative care, surgical complications remain a leading cause of global morbidity and preventable death, particularly in resource-limited or low- and middle-income country (LMIC) settings. This study utilizes a prospective, multicenter, international cohort design. Data will be collected on patient-level risk factors (e.g., age, frailty, comorbidities), hospital-level infrastructure (e.g., nurse-to-patient ratios, rescue capacity), and perioperative safety processes (e.g., adherence to the WHO Surgical Safety Checklist). Patients will be followed prospectively for up to 30 days post-surgery. The collected data will be used to construct robust predictive models to identify individual patient risk and uncover actionable system-level factors to optimize surgical safety globally.

This description comes directly from the study's public registry record.

Norton Perez-Gutiérrez, MD  ·  +573112517471  ·  norton.perez@hotmail.com

Emma I Rodriguez-Darabos, MSc  ·  3112517538  ·  emmaisa1@hotmail.com

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