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Christopher Hess

Christopher Hess

· The Jill F. And Richard W. Cope Professorship; Associate Professor Of Neurology; Movement Disorders Fellowship Director And Medical Director; Director, Neurotechnology Program For Movement Disorders And Neurorestoration; Norman Fixel InstituteVerified

University of Florida · Neurology

Active 1993–2026

h-index41
Citations3.7k
Papers13133 last 5y
Funding$3.0M
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About

Christopher W. Hess, MD, is an associate professor of neurology at the University of Florida College of Medicine. He serves as the director of the Veterans Administration Parkinson’s Disease Consortium Center at the North Florida/South Georgia VA Medical Center. Dr. Hess received his medical degree from the Albert Einstein College of Medicine and completed his neurology residency, serving as chief resident, at Columbia University Medical Center. He also completed subspecialty fellowship training in movement disorders at Columbia under Dr. Stanley Fahn, with additional training in neurophysiology and intraoperative mapping for deep brain stimulation. His research interests include the study of wearable devices in movement disorders and the cortical oscillations associated with voluntary movements in dystonia. Dr. Hess has published extensively on topics such as movement disorders, neurophysiology, tremor analysis, neuroimaging, brain stimulation techniques in Parkinson’s disease, and substance abuse in movement disorders. He is a member of the International Parkinson and Movement Disorders Society and the American Academy of Neurology, and is board-certified by the American Board of Neurology and Psychiatry.

Research topics

  • Computer Science
  • Neuroscience
  • Psychology
  • Medicine
  • Physical medicine and rehabilitation
  • Human–computer interaction
  • Engineering
  • Engineering ethics

Selected publications

  • Five-year risk of cardiovascular events and falling in Parkinson's disease with orthostatic hypotension: A nationwide cohort study

    Parkinsonism & Related Disorders · 2026-01-29 · 2 citations

    articleSenior author
  • Machine Learning Prediction of Discharge Destination in Patients with Parkinson’s Disease; A Nationwide Cohort Study

    Research Square · 2026-01-08 · 1 citations

    preprintOpen accessSenior author
  • Urinary Tract Infections in Hospitalized Patients with Parkinson's Disease: Risk Factors and Outcomes

    Movement Disorders Clinical Practice · 2026-02-16 · 1 citations

    articleSenior authorCorresponding

    BACKGROUND: Urinary tract infections (UTIs) are common complications among hospitalized patients with Parkinson's disease (PD) and are associated with delirium and prolonged hospitalization. OBJECTIVES: To determine the prevalence of UTI, identify modifiable risk factors, and evaluate associated outcomes among hospitalized patients with PD. METHODS: We conducted a retrospective cohort study using the PINC-AI Healthcare Database including PD-related hospitalizations from 2019 to 2023. UTIs diagnosed on admission or during hospitalization were identified, and multivariable analyses were performed. RESULTS: Among more than 321,000 PD hospitalizations, 18.9% were associated with UTI. Emergent admission, inter-facility transfer, dementia, and indwelling urinary catheter use were independently associated with UTI, whereas male sex was protective. UTI was associated with prolonged length of stay and delirium. CONCLUSIONS: UTIs are frequent among hospitalized patients with PD and are associated with several modifiable risk factors. These findings may inform PD-specific inpatient strategies for UTI prevention and risk stratification.

  • Machine learning prediction of discharge destination in patients with Parkinson’s disease; a nationwide cohort study

    npj Parkinson s Disease · 2026-03-28

    articleOpen accessSenior author

    Risk stratification during hospitalization may support real-world discharge planning. We developed and validated machine learning models and an interpretable risk score to predict discharge destination among patients hospitalized with Parkinson's disease using a nationwide administrative claims database. Adults aged ≥50 years hospitalized between November 2017 and June 2023 were included, and the first hospitalization was defined as the index admission. Discharge destination was categorized as home, facility, or in-hospital death. The dataset was randomly divided into training (80%) and testing (20%) cohorts. Random forest models were constructed for all discharge outcomes, and an elastic net logistic regression model was developed for facility discharge. Among 281,664 index admissions, 48.0% were discharged home, 44.8% to a facility, and 7.2% died in hospital. The random forest models achieved AUCs of 0.775 for home discharge, 0.774 for facility discharge, and 0.832 for mortality. The elastic net model demonstrated an AUC of 0.752. A seven-item risk score identified a high-risk group with a 73.8% facility discharge rate compared with 40.6% in the low-risk group. These models provide clinically interpretable risk stratification to support multidisciplinary discharge planning.

  • Unraveling the Intertwined Relationship of DBS, Parkinson’s Disease Subtype and LEDD: A Retrospective Study (P9-5.014)

    Neurology · 2025-04-07

    article

    To assess the impact of deep brain stimulation (DBS) target and Parkinson’s disease (PD) motor subtype on the total levodopa equivalent daily dose (LEDD) following surgery.

  • The Role of a Social Worker in the Deep Brain Stimulation Preoperative Evaluation: The <scp>DBS</scp>‐<scp>FACTS</scp> Screening Tool

    Movement Disorders Clinical Practice · 2025-03-10 · 5 citations

    articleOpen access

    BACKGROUND: Social workers (SW) are part of multidisciplinary teams for many surgical disciplines. Their role in deep brain stimulation (DBS) presurgical evaluations has not been defined. OBJECTIVES: The goal was to characterize the role of SWs in a multidisciplinary DBS presurgical evaluation team and to construct a screening tool to identify patients who could benefit from a preoperative SW consultation. METHODS: A retrospective chart review was conducted on 100 consecutive patients. RESULTS: Ninety-seven subjects met with the SW. The median age was 68 years; 52% were female. Eight roles for the DBS SW were identified. The SW recommended follow-up for two subjects, and four additional subjects contacted the SW subsequently. CONCLUSIONS: This study revealed how SWs could be integrated into DBS presurgical evaluations. Because most patients do not have specific SW needs, the mnemonic DBS-FACTS (finances, advance care planning, caregivers, transportation, and suicide risk) may identify patients who could benefit from SW consultation.

  • Energy Consumption of MRI Systems: An Evaluation of the Relative Contribution of Chillers

    Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · 2025-09-16

    article

    Motivation: We sought to understand the relative contribution of cooling systems on the overall energy use of MRI systems. Goal(s): To identify the potential for energy savings. Approach: Power meters were installed on three MRI (0.55T, 1.5, 3T) and their supporting chillers to independently assess energy consumption of each component. Power draw and energy consumption were evaluated during periods where MRI were idle and actively scanning. Results: Overall, the chillers were found to consume at least a third of the overall energy being expended, including substantial energy consumption during non-productive periods. Impact: Energy consumption by MRI systems is an important contributor to the carbon footprint of health care. A clear understanding of the relative contribution that system cooling plays will help develop impactful ways to improve MRI energy efficiency.

  • Five-year Risk of Cardiovascular events and Fall in Parkinson’s disease with Orthostatic Hypotension: A Nationwide Cohort Study

    SSRN Electronic Journal · 2025-01-01

    preprintOpen accessSenior author
  • Five-year Risk of Cardiovascular events and Fall in Parkinson’s disease with Orthostatic Hypotension: A Nationwide Cohort Study

    SSRN Electronic Journal · 2025-01-01

    preprintOpen accessSenior author
  • Reply: Letter to the Editor on “The Role of a Social Worker in the Deep Brain Stimulation Preoperative Evaluation: The <scp>DBS</scp> ‐ <scp>FACTS</scp> Screening Tool”

    Movement Disorders Clinical Practice · 2025-07-11

    letter

    Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

Recent grants

Frequent coauthors

  • Nelson M. Oyesiku

    256 shared
  • Zachary Litvack

    Neuroscience Institute

    256 shared
  • Chirag G. Patil

    Cedars-Sinai Medical Center

    256 shared
  • Bob S. Carter

    256 shared
  • Luis M. Tumialán

    Barrow Neurological Institute

    256 shared
  • Maria Fleseriu

    Oregon Health & Science University

    256 shared
  • Gabriel Zada

    256 shared
  • James Y. Chen

    256 shared

Labs

Education

  • M.D.

    Albert Einstein College of Medicine

  • Other, Neurology

    Columbia University Medical Center

  • Other, Movement Disorders

    Columbia University Medical Center

Awards & honors

  • The Jill F. And Richard W. Cope Professorship
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