The five-item modified frailty index is predictive of 30-day postoperative complications in patients undergoing spine surgery
…, H Alas, A Brown, B Diebo, A Schoenfeld, M Raad… - Spine, 2021 - journals.lww.com
Study Design. Retrospective cohort study. Objective. This study aimed to evaluate the utility
of the modified frailty index (mFI-5) in a population of patients undergoing spine surgery. …
of the modified frailty index (mFI-5) in a population of patients undergoing spine surgery. …
[HTML][HTML] Racial disparity in time to surgery and complications for hip fracture patients
…, M Marrache, I Ali, J Bressner, M Raad… - Clinics in Orthopedic …, 2020 - ncbi.nlm.nih.gov
Methods We queried the National Surgical Quality Improvement Program database from
2011 to 2017 for patients (> 65 years) with hip fractures who underwent surgical fixation. …
2011 to 2017 for patients (> 65 years) with hip fractures who underwent surgical fixation. …
Are preoperative depression and anxiety associated with patient-reported outcomes, health care payments, and opioid use after anterior discectomy and fusion?
AB Harris, M Marrache, V Puvanesarajah, M Raad… - The Spine Journal, 2020 - Elsevier
BACKGROUND CONTEXT Depression and anxiety are common psychiatric conditions
among US adults, and anterior cervical discectomy and fusion (ACDF) is one of the most …
among US adults, and anterior cervical discectomy and fusion (ACDF) is one of the most …
Cost–utility analysis of rhBMP-2 use in adult spinal deformity surgery
Study Design. Economic modeling of data from a multicenter, prospective registry. Objective.
The aim of this study was to analyze the cost utility of recombinant human bone …
The aim of this study was to analyze the cost utility of recombinant human bone …
Chronic opioid use following anterior cervical discectomy and fusion surgery for degenerative cervical pathology
BACKGROUND CONTEXT Although prescribing opioid medication on a limited basis for
postoperative pain control is common practice, few studies have focused on chronic opioid use …
postoperative pain control is common practice, few studies have focused on chronic opioid use …
Sacropelvic fixation: a comprehensive review
MH El Dafrawy, M Raad, L Okafor, KM Kebaish - Spine deformity, 2019 - Springer
Sacropelvic fixation is indicated in various clinical settings, most notably long spinal
arthrodesis, reduction of high-grade spondylolisthesis, and complex sacral fractures. The …
arthrodesis, reduction of high-grade spondylolisthesis, and complex sacral fractures. The …
Pediatric Gartland type-IV supracondylar humeral fractures have substantial overlap with flexion-type fractures
Background: Knowledge is limited about the diagnosis and treatment of modified Gartland
type-IV supracondylar humeral fractures. We determined the prevalence of type-IV fractures, …
type-IV supracondylar humeral fractures. We determined the prevalence of type-IV fractures, …
Using predictive modeling and supervised machine learning to identify patients at risk for venous thromboembolism following posterior lumbar fusion
…, J Babu, A Margalit, M Raad… - Global Spine …, 2023 - journals.sagepub.com
Study Design: Retrospective review. Objective: To use predictive modeling and machine
learning to identify patients at risk for venous thromboembolism (VTE) following posterior …
learning to identify patients at risk for venous thromboembolism (VTE) following posterior …
Clinical impact and economic burden of hospital-acquired conditions following common surgical procedures
Study Design. Retrospective review of prospectively collected data. Objective. To assess
the clinical impact and economic burden of the three most common hospital-acquired …
the clinical impact and economic burden of the three most common hospital-acquired …
Using predictive modeling and machine learning to identify patients appropriate for outpatient anterior cervical fusion and discectomy
KY Wang, KV Suresh, V Puvanesarajah, M Raad… - Spine, 2021 - journals.lww.com
Study Design. Retrospective, case–control. Objective. The aim of this study was to use predictive
modeling and machine learning to develop novel tools for identifying patients who may …
modeling and machine learning to develop novel tools for identifying patients who may …
