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Dietz N, Alkin V, Agarwal N, Bjurström MF, Ugiliweneza B, Wang D, Sharma M, Drazin D, Boakye M. Polypharmacy in spinal cord injury: Matched cohort analysis comparing drug classes, medical complications, and healthcare utilization metrics with 24-month follow-up. J Spinal Cord Med 2024:1-10. [PMID: 39037335 DOI: 10.1080/10790268.2024.2375892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/23/2024] Open
Abstract
OBJECTIVE Polypharmacy in spinal cord injury (SCI) is common and predisposes patients to increased risk of adverse events. Evaluation of long-term health consequences and economic burden of polypharmacy in patients with SCI is explored. DESIGN Retrospective cohort. METHODS The IBM Marketscan Research Databases claims-based dataset was queried to search for adult patients with SCI with a 2-year follow-up. PARTICIPANTS Two matched cohorts were analyzed: those with and without polypharmacy, analyzing index hospitalization, readmissions, payments, and health outcomes. RESULTS A total of 11 569 individuals with SCI were included, of which 7235 (63%) were in the polypharmacy group who took a median of 11 separate drugs over two years. Opioid analgesics were the most common medication, present in 57% of patients with SCI meeting the criteria of polypharmacy, followed by antidepressant medications (46%) and muscle relaxants (40%). Risk of pneumonia was increased for the polypharmacy group (58%) compared to the non-polypharmacy group (45%), as were urinary tract infection (79% versus 63%), wound infection (30% versus 21%), depression (76% versus 57%), and adverse drug events (24% versus 15%) at 2 years. Combined median healthcare payments were higher in polypharmacy at 2 years ($44 333 vs. $10 937, P < .0001). CONCLUSION Majority of individuals with SCI met the criteria for polypharmacy with nearly 60% of those prescribed opioids and taking drugs from high-risk side effect profiles. Polypharmacy in SCI was associated with a greater risk of pneumonia, depression, urinary tract infections, adverse drug events, and emergency room visits over two years with four times higher overall healthcare payments at 1-year post-injury.
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Affiliation(s)
- Nicholas Dietz
- Department of Neurosurgery, University of Louisville, Louisville, Kentucky, USA
| | - Victoria Alkin
- Department of Neurosurgery, University of Louisville, Louisville, Kentucky, USA
| | - Nitin Agarwal
- Department of Neurosurgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | | | | | - Dengzhi Wang
- Department of Neurosurgery, University of Louisville, Louisville, Kentucky, USA
| | - Mayur Sharma
- Department of Neurosurgery, University of Louisville, Louisville, Kentucky, USA
| | - Doniel Drazin
- Department of Neurosurgery, Pacific Northwest University of Health Sciences, Yakima, Washington, USA
| | - Maxwell Boakye
- Department of Neurosurgery, University of Louisville, Louisville, Kentucky, USA
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Herrity AN, Dietz N, Ezzo A, Kumar C, Aslan SC, Ugiliweneza B, Elsamadicy A, Williams C, Mohamed AZ, Hubscher CH, Behrman A. An evidence-based approach to the recovery of bladder and bowel function after pediatric spinal cord injury. J Clin Neurosci 2023; 118:103-108. [PMID: 39491976 DOI: 10.1016/j.jocn.2023.10.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 10/18/2023] [Accepted: 10/23/2023] [Indexed: 11/05/2024]
Abstract
INTRODUCTION Bladder dysfunction and associated complications of the urinary system negatively impact the quality of life in children living with spinal cord injury (SCI). Pediatric lower urinary tract deficits include bladder over-activity, inefficient emptying, decreased compliance, and incontinence. Recent evidence in adults with SCI indicates significant improvements in bladder capacity and detrusor pressure following participation in an activity-based recovery locomotor training (ABR-LT) rehabilitative program. Additionally, anecdotal self-reports from parents in our Pediatric NeuroRecovery Program reference changes in bladder function, ranging from awareness of bladder fullness to gains in voluntary control while undergoing ABR-LT. CASE PRESENTATION In a within-subjects repeated measures study, we investigated the effect of ABR-LT on bladder function in three children (ages: 2.5, 3, and 6 years) who sustained upper motor neuron SCI. Each child received at least 60 sessions of ABR-LT (5x/week) for 12-14 weeks. Bladder function was assessed via urodynamics and the Common Data Elements questionnaires. Awareness of bladder filling during cystometry was present in all children and detrusor leak point pressure (LPP) was reduced post-ABR-LT relative to pre-training. A decrease in LPP after locomotor training was observed in all three participants. One out of the three participants had substantial improvements in bladder capacity post-ABR-LT and experienced less bowel incontinence following training. DISCUSSION Like our evidence in adults, the changes in bladder function suggest an interaction between lumbosacral networks regulating spinal reflex control of bladder filling, voiding, and afferent input (including potential descending supraspinal commands) and those activated by ABR-LT. Locomotor training may be associated with increased bladder capacity, enhanced perception of bladder filling, and decreased LPP as well as improvements in bowel control in pediatric SCI. This research suggests that children and adolescents with traumatic SCI could experience dynamic improvements in bladder and bowel function with the aid of various therapies. Studies assessing the durability of training on the recovery of bladder and bowel dysfunction in children with SCI are needed.
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Affiliation(s)
- April N Herrity
- Department of Neurological Surgery, University of Louisville, Louisville, KY, United States; Department of Physiology, University of Louisville, Louisville, KY, United States; Kentucky Spinal Cord Injury Research Center, University of Louisville, Louisville, KY, United States; School of Medicine, University of Louisville, Louisville, KY, United States.
| | - Nicholas Dietz
- Department of Neurological Surgery, University of Louisville, Louisville, KY, United States; Kentucky Spinal Cord Injury Research Center, University of Louisville, Louisville, KY, United States
| | - Ashley Ezzo
- Kentucky Spinal Cord Injury Research Center, University of Louisville, Louisville, KY, United States
| | - Chitra Kumar
- University of Cincinnati, School of Medicine, Cincinnati, OH, United States
| | - Sevda C Aslan
- Department of Neurological Surgery, University of Louisville, Louisville, KY, United States; Kentucky Spinal Cord Injury Research Center, University of Louisville, Louisville, KY, United States; School of Medicine, University of Louisville, Louisville, KY, United States
| | - Beatrice Ugiliweneza
- Department of Neurological Surgery, University of Louisville, Louisville, KY, United States; Kentucky Spinal Cord Injury Research Center, University of Louisville, Louisville, KY, United States; School of Medicine, University of Louisville, Louisville, KY, United States; Department of Health Management and Systems Sciences, University of Louisville, Louisville, KY, United States
| | - Aladine Elsamadicy
- Department of Neurosurgery, Yale University School of Medicine, New Haven Connecticut, CT, United States
| | - Carolyn Williams
- School of Medicine, University of Louisville, Louisville, KY, United States; Department of Urology, University of Louisville, Louisville, KY, United States
| | - Ahmad Z Mohamed
- School of Medicine, University of Louisville, Louisville, KY, United States; Department of Urology, University of Louisville, Louisville, KY, United States
| | - Charles H Hubscher
- Kentucky Spinal Cord Injury Research Center, University of Louisville, Louisville, KY, United States; School of Medicine, University of Louisville, Louisville, KY, United States; Department of Anatomical Sciences and Neurobiology, University of Louisville, Louisville, KY, United States
| | - Andrea Behrman
- Department of Neurological Surgery, University of Louisville, Louisville, KY, United States; Kentucky Spinal Cord Injury Research Center, University of Louisville, Louisville, KY, United States; School of Medicine, University of Louisville, Louisville, KY, United States
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Dietz N, Vaitheesh Jaganathan, Alkin V, Mettille J, Boakye M, Drazin D. Machine learning in clinical diagnosis, prognostication, and management of acute traumatic spinal cord injury (SCI): A systematic review. J Clin Orthop Trauma 2022; 35:102046. [PMID: 36425281 PMCID: PMC9678757 DOI: 10.1016/j.jcot.2022.102046] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 08/23/2022] [Accepted: 10/18/2022] [Indexed: 11/19/2022] Open
Abstract
Background Machine learning has been applied to improve diagnosis and prognostication of acute traumatic spinal cord injury. We investigate potential for clinical integration of machine learning in this patient population to navigate variability in injury and recovery. Materials and methods We performed a systematic review using PRISMA guidelines through PubMed database to identify studies that use machine learning algorithms for clinical application toward improvements in diagnosis, management, and predictive modeling. Results Of the 132 records identified, a total of 13 articles met inclusion criteria and were included in final analysis. Of the 13 articles, 5 focused on diagnostic accuracy and 8 were related to prognostication or management of traumatic spinal cord injury. Across studies, 1983 patients with spinal cord injury were evaluated with most classifying as ASIA C or D. Retrospective designs were used in 10 of 13 studies and 3 were prospective. Studies focused on MRI evaluation and segmentation for diagnostic accuracy and prognostication, investigation of mean arterial pressure in acute care and intraoperative settings, prediction of ambulatory and functional ability, chronic complication prevention, and psychological quality of life assessments. Decision tree, random forests (RF), support vector machines (SVM), hierarchical cluster tree analysis (HCTA), artificial neural networks (ANN), convolutional neural networks (CNN) machine learning subtypes were used. Conclusions Machine learning represents a platform technology with clinical application in traumatic spinal cord injury diagnosis, prognostication, management, rehabilitation, and risk prevention of chronic complications and mental illness. SVM models showed improved accuracy when compared to other ML subtypes surveyed. Inherent variability across patients with SCI offers unique opportunity for ML and personalized medicine to drive desired outcomes and assess risks in this patient population.
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Affiliation(s)
- Nicholas Dietz
- Department of Neurosurgery, University of Louisville, 200 Abraham Flexner Hwy, Louisville, KY, 40202, USA
| | - Vaitheesh Jaganathan
- Department of Neurosurgery, University of Louisville, 200 Abraham Flexner Hwy, Louisville, KY, 40202, USA
| | | | - Jersey Mettille
- Department of Anesthesia, University of Louisville, Louisville, KY, USA
| | - Maxwell Boakye
- Department of Neurosurgery, University of Louisville, 200 Abraham Flexner Hwy, Louisville, KY, 40202, USA
| | - Doniel Drazin
- Department of Neurosurgery, Providence Regional Medical Center Everett, Everett, WA, USA
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Rodriguez GM, Gater DR. Neurogenic Bowel and Management after Spinal Cord Injury: A Narrative Review. J Pers Med 2022; 12:1141. [PMID: 35887638 PMCID: PMC9324073 DOI: 10.3390/jpm12071141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 07/02/2022] [Accepted: 07/12/2022] [Indexed: 11/16/2022] Open
Abstract
People with spinal cord injury (SCI) suffer from the sequela of neurogenic bowel and its disabling complications primarily constipation, fecal incontinence, and gastrointestinal (GI) symptoms. Neurogenic bowel is a functional bowel disorder with a spectrum of defecatory disorders as well as colonic and gastrointestinal motility dysfunction. This manuscript will review the anatomy and physiology of gastrointestinal innervation, as well as the pathophysiology associated with SCI. It will provide essential information on the recent guidelines for neurogenic bowel assessment and medical management. This will allow medical providers to partner with their patients to develop an individualized bowel plan utilizing a combination of various pharmacological, mechanical and surgical interventions that prevent complications and ensure successful management and compliance. For people with SCI and neurogenic bowel dysfunction, the fundamental goal is to maintain health and well-being, promote a good quality of life and support active, fulfilled lives in their homes and communities.
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Affiliation(s)
- Gianna M. Rodriguez
- Department of Physical Medicine and Rehabilitation, University of Michigan College of Medicine, Ann Arbor, MI 48108, USA
| | - David R. Gater
- Department of Physical Medicine and Rehabilitation, University of Miami Miller School of Medicine, Miami, FL 33136, USA;
- Christine E. Lynn Rehabilitation Center for the Miami Project to Cure Paralysis, Miami, FL 33136, USA
- The Miami Project to Cure Paralysis, University of Miami Miller School of Medicine, Miami, FL 33136, USA
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