1. Markers for Major Complications at Day-One Postoperative in Fast-Track Metabolic Surgery: Updated Metabolic Checklist.
- Author
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Hart, J. W. H. 't, Takken, R., Hogewoning, C. R. C., Biter, L. U., Apers, J. A., Zengerink, H., Dunkelgrün, M., and Verhoef, C.
- Subjects
SURGICAL complications ,LEUKOCYTE count ,GASTRIC bypass ,CLINICAL prediction rules - Abstract
Introduction: In fast-track metabolic surgery, the window to identify complications is narrow. Postoperative checklists can be useful tools in the decision-making of safe early discharge. The aim of this study was to evaluate the predictive value of a checklist used in metabolic surgery. Methods: Retrospective data from June 2018 to January 2021 was collected on all patients that underwent metabolic surgery in a high-volume bariatric hospital in the Netherlands. Patients without an available checklist were excluded. The primary outcome was major complications and the secondary outcomes were minor complications, readmission, and unplanned hospital visits within 30 days postoperatively. Results: Major complications within 30 days postoperatively occurred in 62/1589 (3.9%) of the total included patients. An advise against early discharge was significantly more seen in patients with major complications compared to those without major complications (90.3% versus 48.1%, P < 0.001, respectively), and a negative checklist (advice for discharge) had a negative predictive value of 99.2%. The area under the curve for the total checklist was 0.80 (P < 0.001). Using a cut-off value of ≥3 positive points, the sensitivity and specificity were 65% and 82%, respectively. Individual parameters from the checklist: oral intake, mobilization, calf pain, willingness for discharge, heart rate, drain (>30 ml/24 h), hemoglobin, and leukocytes count were also significantly different between groups. Conclusion: This checklist is a valuable tool to decide whether patients can be safely discharged early. Heart rate appeared to be the most predictive parameter for the development of major complications. Future studies should conduct prediction models to identify patients at risk for major complications. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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