Next Article in Journal
Isolation and Characterization of Novel Escherichia coli O157:H7 Phage SPEC13 as a Therapeutic Agent for E. coli Infections In Vitro and In Vivo
Previous Article in Journal
Rapid Detection of Acinetobacter baumannii Suspension and Biofilm Nanomotion and Antibiotic Resistance Estimation
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Clinical Characteristics Associated with the PLP-PLS Index, a New Potential Metric to Phenotype Phantom Limb Pain

by
Jorge Ortega-Márquez
1,*,
Justyna Garnier
2,
Lucas Mena
3,
Ana Victoria Palagi Vigano
4,
Eleonora Boschetti Grützmacher
5,
Gabriel Vallejos-Penaloza
6,7,
Valton Costa
8,9,
Daniela Martinez-Magallanes
8,
Antonio Vaz de Macedo
10,
Waynice Neiva de Paula-Garcia
11,
Denise Saretta Schwartz
12,
Felipe Fregni
8,† and
Kevin Pacheco-Barrios
8,13,*,†
1
Master of Medical Sciences in Clinical Investigation, Harvard Medical School, Boston, MA 02115, USA
2
Department of Psychology, SWPS University of Social Sciences and Humanities, 03-815 Warsaw, Poland
3
Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 05508-220, Brazil
4
Grupo de Ombro e Cotovelo, Faculdade de Medicina do ABC, Santo André 09060-870, Brazil
5
Praxis Am Lichterfelde West, 12205 Berlin, Germany
6
Departamento de Ginecología y Obstetricia, Facultad de Medicina, Clínica Alemana, Universidad del Desarrollo, Santiago 7610315, Chile
7
Departamento de Ginecología y Obstetricia, Hospital Dr Luis Valentín Ferrada, Universidad Finis Terrae, Santiago 7501014, Chile
8
Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
9
Laboratory of Neurosciences and Neurological Rehabilitation, Physical Therapy Department, Federal University of Sao Carlos, Sao Carlos 13565-905, Brazil
10
Hematology Clinic, Hospital da Polícia Militar, Belo Horizonte, Minas Gerais 30110-013, Brazil
11
AC Camargo Cancer Center, São Paulo 01509-010, Brazil
12
Departamento de Clínica Médica Faculdade de Medicina Veterinária e Zootecnia (FMVZ), Universidade de São Paulo, São Paulo 05508-220, Brazil
13
Unidad de Investigación para la Generación y Síntesis de Evidencia en Salud, Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Lima 15026, Peru
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work as a senior authors.
Biomedicines 2024, 12(9), 2035; https://doi.org/10.3390/biomedicines12092035
Submission received: 2 July 2024 / Revised: 4 August 2024 / Accepted: 5 September 2024 / Published: 6 September 2024
(This article belongs to the Section Neurobiology and Clinical Neuroscience)

Abstract

Background: Phantom limb pain (PLP) is highly prevalent after amputation. However, the influence of non-painful sensations (PLS) remains unclear. This study examines the PLP-PLS index as a novel tool to differentiate PLP from PLS and explores the association of clinical factors with the index. Methods: We conducted a cross-sectional analysis of baseline data from 112 participants in a previous factorial trial in patients with unilateral traumatic lower limb amputation. Linear regression models were used to examine the associations between the index and various demographic, psychological and clinical factors. Logistic and Poisson regression, and e-value calculation were utilized for sensitivity analyses. Results: Adjusted multivariable linear regression models demonstrated significant associations of phantom movement sensation (β: −1.532; 95% CI: −2.615 to −0.449; p = 0.006) and time since amputation (β: 0.005; 95% CI: 0.0006 to 0.0101; p = 0.026) with the PLP-PLS index. These findings were confirmed by multivariable logistic regression (phantom movement sensation OR: 0.469; 95% CI: 0.200 to 1.099, p = 0.082; time since amputation OR: 1.003; 95% CI: 1.00003 to 1.007; p = 0.048) and sensitivity analyses. Conclusions: Time since amputation and phantom movement sensation likely reflect distinct phenotypes and potential mechanisms for PLP and PLS. The PLP-PLS index is a promising clinical tool for selecting therapies to prevent/treat PLP and for measuring treatment effects to modulate phantom pain. These findings emphasize the importance of understanding the mechanisms underlying PLP and PLS for improving clinical management and guiding future research.
Keywords: phantom limb pain; phantom limb sensation; lower limb amputation; adaptive neuroplasticity phantom limb pain; phantom limb sensation; lower limb amputation; adaptive neuroplasticity

Share and Cite

MDPI and ACS Style

Ortega-Márquez, J.; Garnier, J.; Mena, L.; Palagi Vigano, A.V.; Grützmacher, E.B.; Vallejos-Penaloza, G.; Costa, V.; Martinez-Magallanes, D.; Vaz de Macedo, A.; de Paula-Garcia, W.N.; et al. Clinical Characteristics Associated with the PLP-PLS Index, a New Potential Metric to Phenotype Phantom Limb Pain. Biomedicines 2024, 12, 2035. https://doi.org/10.3390/biomedicines12092035

AMA Style

Ortega-Márquez J, Garnier J, Mena L, Palagi Vigano AV, Grützmacher EB, Vallejos-Penaloza G, Costa V, Martinez-Magallanes D, Vaz de Macedo A, de Paula-Garcia WN, et al. Clinical Characteristics Associated with the PLP-PLS Index, a New Potential Metric to Phenotype Phantom Limb Pain. Biomedicines. 2024; 12(9):2035. https://doi.org/10.3390/biomedicines12092035

Chicago/Turabian Style

Ortega-Márquez, Jorge, Justyna Garnier, Lucas Mena, Ana Victoria Palagi Vigano, Eleonora Boschetti Grützmacher, Gabriel Vallejos-Penaloza, Valton Costa, Daniela Martinez-Magallanes, Antonio Vaz de Macedo, Waynice Neiva de Paula-Garcia, and et al. 2024. "Clinical Characteristics Associated with the PLP-PLS Index, a New Potential Metric to Phenotype Phantom Limb Pain" Biomedicines 12, no. 9: 2035. https://doi.org/10.3390/biomedicines12092035

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop