Publications by authors named "D E Herrick"
Article Synopsis
- The study investigates how machine learning models, particularly Gradient Boosting Machine (GBM), can better predict readmission rates after posterior cervical fusion (PCF) compared to traditional logistic regression (LR).
- Using data from 4,130 patients who underwent PCF, it was found that patient discharge status and comorbidities significantly influenced readmission predictions.
- The GBM model outperformed the LR model in accuracy and also projected greater cost savings, suggesting that machine learning can provide more effective tools for predicting patient readmissions in healthcare.
Study Design: A retrospective cohort study.
Objective: To identify the factors associated with readmissions after PLF using machine learning and logistic regression (LR) models.
Summary Of Background Data: Readmissions after posterior lumbar fusion (PLF) place significant health and financial burden on the patient and overall health care system.
Objective: To determine postoperative complications and quality outcomes of single-stage and multistage surgical management for lumbar degenerative disease (LDD).
Methods: This retrospective cohort study using a national administrative database identified patients who underwent surgery for LDD between 2007 and 2016. Patients were stratified based on whether their surgeon chose to perform single-stage or multistage LDD surgery, and these cohorts were mutually exclusive.
Study Design: This is a retrospective cohort study using a nationally representative administrative database.
Objective: To identify the impact of obesity on postoperative outcomes in patients undergoing thoracolumbar adult spinal deformity (ASD) surgery.
Background: The obesity rate in the United States remains staggering, with approximately one-third of all Americans being overweight or obese.
Study Design: This was an epidemiological study using national administrative data from the MarketScan database.
Objective: To investigate the impact of early versus delayed adjuvant radiotherapy (RT) on wound healing following surgical resection for spinal metastatic disease.
Methods: We queried the MarketScan database (2007-2016), identifying patients with a diagnosis of spinal metastasis who also underwent RT within 8 weeks of surgery.