Flick, Katelyn F.Sublette, Chris M.Maatman, Thomas K.Colgate, Cameron L.Yip-Schneider, Michele T.Soufi, MazharCeppa, Eugene P.House, Michael G.Zyromski, Nicholas J.Nakeeb, AttilaSchmidt, C. Max2022-01-282022-01-282021Flick, K. F., Schmidt, C. M., Colgate, C. L., Yip-Schneider, M. T., Sublette, C. M., Maatman, T. K., Soufi, M., Ceppa, E. P., House, M. G., Zyromski, N. J., & Nakeeb, A. (2021). Preoperative Nomogram Predicts Non-home Discharge in Patients Undergoing Pancreatoduodenectomy. Journal of Gastrointestinal Surgery, 25(5), 1253–1260. https://doi.org/10.1007/s11605-020-04689-1https://hdl.handle.net/1805/27606Background In patients undergoing pancreatoduodenectomy, non-home discharge is common and often results in an unnecessary delay in hospital discharge. This study aimed to develop and validate a preoperative prediction model to identify patients with a high likelihood of non-home discharge following pancreatoduodenectomy. Methods Patients undergoing pancreatoduodenectomy from 2013 to 2018 were identified using an institutional database. Patients were categorized according to discharge location (home vs. non-home). Preoperative risk factors, including social determinants of health associated with non-home discharge, were identified using Pearson’s chi-squared test and then included in a multiple logistic regression model. A training cohort composed of 80% of the sampled patients was used to create the prediction model, and validation carried out using the remaining 20%. Statistical significance was defined as P < 0.05. Results Seven hundred sixty-six pancreatoduodenectomy patients met the study criteria for inclusion in the analysis (non-home, 126; home, 640). Independent predictors of non-home discharge on multivariable analysis were age, marital status, mental health diagnosis, functional health status, dyspnea, and chronic obstructive pulmonary disease. The prediction model was then used to generate a nomogram to predict likelihood of non-home discharge. The training and validation cohorts demonstrated comparable performances with an identical area under the curve (0.81) and an accuracy of 84%. Conclusion A prediction model to reliably assess the likelihood of non-home discharge after pancreatoduodenectomy was developed and validated in the present study.enPublisher Policynomogrampancreatoduodenectomypatient dischargeArticle