Publications by authors named "J Caridi"
Study Design: A retrospective cohort study.
Objective: The purpose of this study is to develop a machine learning algorithm to predict nonhome discharge after cervical spine surgery that is validated and usable on a national scale to ensure generalizability and elucidate candidate drivers for prediction.
Summary Of Background Data: Excessive length of hospital stay can be attributed to delays in postoperative referrals to intermediate care rehabilitation centers or skilled nursing facilities.
Article Synopsis
- The study investigates how spinopelvic parameters and global spine morphology affect fracture location, fracture type, and neurological outcomes in patients with thoracolumbar trauma.
- After reviewing 2,896 patients, 514 were selected based on specific criteria; data such as age, injury mechanism, and body type were collected, differentiating between high pelvic incidence (PI) and low PI patients.
- Results revealed that high PI patients had fewer lower lumbar spine fractures than low PI patients, with fall from height being a major cause of neurological deficits, especially among those with certain types of injuries.
Opioid dependence is a national crisis, with 30 million patients annually at risk of becoming persistent opioid users after receiving opioids for post-surgical pain management. Translational Pain Services (TPS) demonstrate effectiveness for behavioral health improvements but its effectiveness in preventing persistent opioid use is less established, especially amongst opioid exposed patients. Prohibitive costs and accessibility challenges have hindered TPS program adoption.
View Article and Find Full Text PDFPurpose: Predict nonhome discharge (NHD) following elective anterior cervical discectomy and fusion (ACDF) using an explainable machine learning model.
Methods: 2227 patients undergoing elective ACDF from 2008 to 2019 were identified from a single institutional database. A machine learning model was trained on preoperative variables, including demographics, comorbidity indices, and levels fused.
Background: Spine abnormalities are a common manifestation of Neurofibromatosis Type 1 (NF1); however, the outcomes of surgical treatment for NF1-associated spinal deformity are not well explored. The purpose of this study was to investigate the outcome and risk profiles of multilevel fusion surgery for NF1 patients.
Methods: The National Inpatient Sample was queried for NF1 and non-NF1 patient populations with neuromuscular scoliosis who underwent multilevel fusion surgery involving eight or more vertebral levels between 2004 and 2017.