Evaluating nutrition in advanced ovarian cancer: which biomarker works best?

Background: Advanced epithelial ovarian cancer (OC) patients often present with malnutrition; however, the ideal nutritional evaluation tool is unclear. We aimed to evaluate the role of preoperative albumin, Prognostic Nutritional Index [PNI], neutrophil-to-lymphocyte ratio [NLR], and platelet-to-lymphocyte ratio [PLR] as independent predictors of severe postoperative complications and 90-day mortality in OC patients who underwent primary cytoreductive surgery to identify the ideal tool.

Methods: OC patients who underwent surgery at Mayo Clinic (2003-2018) were included; biomarkers were retrospectively retrieved and established cut-offs were utilized. Outcomes included severe complications (Accordion grade ≥ 3) and 90-day mortality. Univariate and multivariable logistic regression models were performed. Biomarkers were evaluated in separate models adjusted for age and American Society of Anesthesiologists (ASA) score for 90-day mortality, and adjusted for age, ASA score, stage, and surgical complexity for severe complications.

Results: Albumin <3.5 g/dL, PNI < 45, NLR > 6 and PLR ≥ 200 were univariately associated with 90-day mortality (all p < 0.05) in 627 patients that met inclusion criteria. Each marker remained significant in adjusted models with albumin having the highest OR: 6.04 [95% CI:2.80-13.03] and AUC (0.83). Univariately, PNI <45, NLR >6, and PLR ≥200 were significant predictors of severe complications(all p < 0.05), however failed to reach significance in adjusted models. Albumin was not associated with severe complications.

Conclusion: All biomarkers were associated with 90-day mortality in adjusted models, with albumin being the easiest predictor to attain clinically; none with severe complications. Future research should focus less on methods of nutritional assessment and more on strategies to improve nutrition during OC tumor-directed therapy.