ArticleBMC anesthesiology2023
A novel nomogram for predicting the prolonged length of stay in post-anesthesia care unit after elective operation.
Article in BMC anesthesiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 13 citations in OpenAlex.
- Over-night monitoring in intensive care unit and short-term monitoring in post anesthesia care unit costs analysis after elective hepato-pancreatic-biliary surgery: a retrospective study.Updates in surgery · 2026Article
- Domain-Aware Interpretable Machine Learning Model for Predicting Postoperative Hospital Length of Stay from Perioperative Data: A Retrospective Observational Cohort Study.Bioengineering (Basel, Switzerland) · 2026Article
- Risk factors associated with prolonged stay in the post-anesthesia care unit: a case-control study.Frontiers in medicine · 2026Article
- Incidence, risk factors, and predictive modeling of pulmonary infection after high-risk surgery for lung cancer: a retrospective case-control study.Journal of thoracic disease · 2025Article
- Interpretable multi-label classification model for predicting post-anesthesia care unit complications: a prospective cohort study.BMC anesthesiology · 2025Article
- Post-Anesthesia Care Unit (PACU) readiness predictions using machine learning: a comparative study of algorithms.BMC medical informatics and decision making · 2025Article
- Risk factors for the delayed discharge from anesthesia intensive care unit: a single-center retrospective study.BMC anesthesiology · 2025Article
- Development and validation of a nomogram for predicting lung cancer based on acoustic-clinical features.Frontiers in medicine · 2025Article
- Predictive effect of postoperative recovery in general anesthesia patients using interpretable models based on swarm intelligence machine learning.Frontiers in physiology · 2025Article
- Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication.JAMA surgery · 2024Article
- Predictive model for prolonged hospital stay risk after gastric cancer surgery.Frontiers in oncology · 2024Article
- Development and Validation of a Clinical Model for Predicting Delay in Postoperative Transfer Out of the Post-Anesthesia Care Unit: A Retrospective Cohort Study.Journal of multidisciplinary healthcare · 2024Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundProlonged length of stay in post-anesthesia care unit (PLOS in PACU) is a combination of risk factors and complications that can compromise quality of care and operating room efficiency. Our study aimed to develop a nomogram to predict PLOS in PACU of patients undergoing elective surgery.
methodsData from 24017 patients were collected. Least absolute shrinkage and selection operator (LASSO) was used to screen variables. A logistic regression model was built on variables determined by a combined method of forward selection and backward elimination. Nomogram was designed with the model. The nomogram performance was evaluated with the area under the receiver operating characteristic curve (AUC) for discrimination, calibration plot for consistency between predictions and actuality, and decision curve analysis (DCA) for clinical application value.
resultsA nomogram was established based on the selected ten variables, including age, BMI < 21 kg/m
conclusionsThis study presented a nomogram to facilitate individualized prediction of PLOS in PACU for patients undergoing elective surgery.
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