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    The cost of complications following major resection of malignant neoplasia

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    Background: Rising healthcare costs have led to increased focus on the need to achieve a higher value of care. As value-maximization efforts expand to include more complex surgical patients, evidence to support meaningful implementation of complication-based initiatives is lacking. The objective of this study was to compare incremental costs of complications following major gastrointestinal (GI) resections for organ-specific malignant neoplasia using nationally representative data. Methods: National (Nationwide) Inpatient Sample data, 2001-2014, were queried for adult (≥ 18 years) patients undergoing major resections for malignant neoplasia. Based on system-based complications considered relevant to the long-term treatment of GI disease, stratified differences in risk-adjusted incremental hospital costs and complication probabilities were compared. Differences in surgical outcomes and costs over time were also assessed. Results: A total of 293,967 patients were included, weighted to represent 1,408,117 patients nationwide. One fourth (26.1%; 95% CI, 25.7-26.4%) experienced ≥ 1 pre-discharge complication (range, 45.3% esophagectomy to 24.0% rectal resection). Resultant annual risk-adjusted incremental hospital costs totaled 540millionnationwide(19.5540 million nationwide (19.5% of the overall cost of care and an average of 20,900 per patient). Costs varied substantially with both cancer/resection type and complication group, ranging from 76.7millionforcolectomieswithinfectiouscomplicationsto76.7 million for colectomies with infectious complications to 0.2 million for rectal resections with urinary complications. For each resection type, infectious (154.7million),GI(154.7 million), GI (85.5 million), and pulmonary ($77.9 million) complications were among the most significant drivers of increased hospital cost. Conclusions: Quantifying and comparing the impact of complications on an indication-specific level in more complex patients offers an important step toward allowing providers/payers to meaningfully prioritize the design of novel and adaptation of existing value-maximization approache
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