Abstract
BackgroundThe value of individual variable contributions to post-hepatectomy length of stay (LOS) are difficult to quantify within bundled care pathways. MethodsPoisson regression and marginal effects models for prolonged post-hepatectomy LOS (>25% median) included Kawaguchi-Gayet (KG) complexity, perioperative variables, and pathways (minimally-invasive = MIS; low-intermediate-risk = KGI/II; high-risk = KGIII; combination). ResultsMedian LOS was 2, 4, 5, and 5 days for MIS, KGI/II, KGIII and combination pathways (N = 978). Poisson regression identified age, intraoperative fluids, delayed diet tolerance, and combination cases as associated with increased LOS (p < 0.01). Marginal effects analysis demonstrated the following added probability of longer LOS: each year of age 0.03x, 250 mL intraoperative fluids 0.06x, each operative hour 0.2x, additional day before diet tolerance 0.4x, combination cases 0.7x. MIS was associated with 1.2x increased probability of shorter LOS. ConclusionsOptimizing intraoperative fluids, operative time, and postoperative diet, while favoring MIS approach when feasible, may maximize effects of post-hepatectomy care pathways to reduce LOS.
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