ArticleJournal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract2021
Preoperative Nomogram Predicts Non-home Discharge in Patients Undergoing Pancreatoduodenectomy.
Article in Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 3 citations in OpenAlex.
- Alternative discharge destination following lobectomy: Analysis of a national quality improvement database.JTCVS open · 2024Article
- Geographic Proximity of Family Members and Healthcare Utilization After Complex Surgical Procedures.Annals of surgery · 2022Article
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn 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.
methodsPatients 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.
resultsSeven 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%.
conclusionA prediction model to reliably assess the likelihood of non-home discharge after pancreatoduodenectomy was developed and validated in the present study.
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