Back to search

Article

Development and validation of a novel nomogram to predict the risk of the prolonged postoperative length of stay for lumbar spinal stenosis patients

2023-02-02

Abstract excerpt

<h4>Background: </h4> Lumber spinal stenosis (LSS) is the increasingly reason for spine surgery for elder patients since China is facing the fastest-growing aging population. The aim of this research was to create a model to predict the probabilities of requiring a prolonged postoperative length of stay (PLOS) for lumbar spinal stenosis patients, minimizing the healthcare burden. <h4>Methods: </h4>: A total of 540...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
cb0a2698-c3fc-5993-b9bf-4223adbf2b4f
DOI
10.21203/rs.3.rs-2514932/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Development and validation of a novel nomogram to predict the risk of the prolonged postoperative length of stay for lumbar spinal stenosis patientsDOI 10.21203/rs.3.rs-2514932/v1
Predicting Post-Anesthesia Care Unit (PACU) Length of Stay (LOS) Using Machine Learning for Patients Undergoing Lumbar Spinal Stenosis SurgerySemantic proximity
Development and validation of a predictive model for increased drainage after open transforaminal lumbar posterior fusionSemantic proximity
Analysis of the Impact of C-DRG Reform on Hospitalization Costs and Length of Stay in Patients with Lumbar Spinal StenosisSemantic proximity
Development and validation of a machine learning-based risk model for prolonged length of stay after laparoscopic gastrointestinal surgery in women: A secondary analysis of the FDP-PONV trailSemantic proximity
Feasibility of subarachnoid combined with monitoring anesthesia care for unilateral biportal endoscopic decompression in elderly with lumbar spinal stenosis:A Propensity-Matched AnalysisSemantic proximity
Perioperative risk factors related to complications of lumbar spine fusion surgery in patients with an average age of 80 years oldSemantic proximity
Comparison of the short-term effects of Quadrant channel fenestration decompression and Delta large channel endoscopy in the treatment of elderly patients with lumbar spinal stenosisSemantic proximity
A Random Forest Algorithm-Based Prediction Model for Moderate to Severe Acute Postoperative Pain After Orthopedic Surgery Under General AnesthesiaSemantic proximity
Predictive factors for degenerative lumbar spinal stenosis: A model obtained from a machine learning algorithm techniqueSemantic proximity
Current concepts and recent advances in understanding and managing lumbar spine stenosisSemantic proximity
Development and Temporal External Validation of an XGBoost-Based Clinical Prediction Model for PACU Hypoxemia in Elderly Thoracic Surgery PatientsSemantic proximity
Peri-anesthesia Period Machine-Learning Model for Poor Outcome in Emergency Surgery PatientsSemantic proximity
Select a neighboring publication to make it the new centre.