Alexandria Paige Petridis

Ms. Alexandria Paige Petridis

Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
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Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 March 2025 in Cancers
Verified
Journal Article
Open access
PDF file
APAlexandria Paige Petridis
Alexandria Paige Petridis
Cherry KohCherry Koh
Cherry Koh
MSMichael J Solomon
Michael J Solomon
SKSascha Karunaratne
Sascha Karunaratne
KAKate Alexander
Kate Alexander
Daniel SteffensDaniel Steffens
Daniel Steffens
Background/Objective: Despite surgery being the primary curative treatment for cancer, patients with compromised preoperative physical, nutritional, and psychological status are often at a higher risk for complications. While various screening tools exist to assess physical, nutritional, and psychological status, there is currently no standardised self-reporting tool, or established cut-off points for comprehensive risk assessment. This study aims to develop, validate, and implement an online self-reporting preoperative screening tool that identifies modifiable risk factors in cancer surgery patients. Methods: This mixed-methods study consists of three distinct stages: (1) Development—(i) a scoping review to identify available physical, nutritional, and psychological screening tools; (ii) a Delphi study to gain consensus on the use of available screening tools; and (iii) a development of the online screening tool to determine patients at high risk of postoperative complications. (2) Testing—a prospective cohort study determining the correlation between at-risk patients and postoperative complications. (3) Implementation—the formulation of an implementation policy document considering feasibility. Conclusions: The timely identification of high-risk patients, based on their preoperative physical, nutritional, and psychological statuses, would enable referral to targeted interventions. The implementation of a preoperative online screening tool would streamline this identification process while minimising unwarranted variation in preoperative treatment optimisation. This systematic approach would not only support high-risk patients but also allow for more efficient provision of surgery to low-risk patients through effective risk stratification.