Journal article
Drug-Induced Parkinsonism: Too Many Cooks in the Kitchen
Curēus (Palo Alto, CA), v 15(9), 44896
08 Sep 2023
PMID: 37814773
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Drug-induced parkinsonism (DIP) is a condition characterized by the development of parkinsonian symptoms as a result of medication use. It is often misdiagnosed and can be challenging to differentiate from Parkinson's disease (PD). In this case presentation, we describe the clinical course of a 64-year-old male who presented with parkinsonian symptoms while using atypical antipsychotics, which was originally misdiagnosed as PD. The case highlights the importance of recognizing the potential iatrogenic effects of medications with antidopaminergic properties, such as antipsychotics and antiepileptic drugs, which are common culprits in causing DIP. We discuss DIP management, long-term impacts, and differentiating DIP from PD through clinical findings and imaging, emphasizing the utility of the (123)I-ioflupane single-photon emission computerized tomography (SPECT) scan in aiding diagnosis. This case serves as a reminder to healthcare providers to remain vigilant in monitoring patients for adverse effects, polypharmacy, and harmful medication interactions.
Metrics
7 Record Views
Details
- Title
- Drug-Induced Parkinsonism: Too Many Cooks in the Kitchen
- Creators
- Mark Liotta - Thomas Jefferson University HospitalHarrison Bell - Thomas Jefferson University HospitalAnh-Thu Vu - Thomas Jefferson UniversityMichael Stillman - Thomas Jefferson University Hospital
- Publication Details
- Curēus (Palo Alto, CA), v 15(9), 44896
- Publisher
- Springer Nature
- Number of pages
- 4
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- MD (Doctor of Medicine) Program; Neurology
- Web of Science ID
- WOS:001163223500013
- Other Identifier
- 991021962192304721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Medicine, General & Internal