Studying Erythromelalgia Using Doppler Flowmetry Perfusion Signals and Wavelet Analysis—An Exploratory Study

Detalhes bibliográficos
Autor(a) principal: Rodrigues, Luis Monteiro
Data de Publicação: 2023
Outros Autores: Caetano, Joana, Andrade, Sergio Faloni, Rocha, Clemente, Alves, José Delgado, Ferreira, Hugo Alexandre
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/162421
Resumo: Funding Information: This research was financed by national funds through FCT—Foundation for Science and Technology, I.P. (Portugal), under the [UIDB/04567/2020] and [UIDP/04567/2020] programs. All imaging instrumentation was provided by ALIES-COFAC. Publisher Copyright: © 2023 by the authors.
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spelling Studying Erythromelalgia Using Doppler Flowmetry Perfusion Signals and Wavelet Analysis—An Exploratory Studyerythromelalgialaser doppler flowmetryskin perfusionwavelet analysisMedicine (miscellaneous)Biochemistry, Genetics and Molecular Biology(all)Funding Information: This research was financed by national funds through FCT—Foundation for Science and Technology, I.P. (Portugal), under the [UIDB/04567/2020] and [UIDP/04567/2020] programs. All imaging instrumentation was provided by ALIES-COFAC. Publisher Copyright: © 2023 by the authors.Erythromelalgia (EM) is a rare disease, which is still poorly characterized. In the present paper, we compared the hand perfusion of one female EM patient, under challenges, with a healthy control group. Using a laser Doppler flowmeter (LDF) with an integrated thermal probe, measurements were taken in both hands at rest (Phase I) and after two separate challenges—post-occlusive hyperemia (PORH) in one arm (A) and reduction of skin temperature (cooling) with ice in one hand (B) (Phase II). The final measurement periods corresponded to recovery (Phases III and IV). The control group involved ten healthy women (27.3 ± 7.9 years old). A second set of measurements was taken in the EM patient one month after beginning a new therapeutic approach with beta-blockers (6.25 mg carvedilol twice daily). Z-scores of the patient’s LDF and temperature fluctuations compared to the control group were assessed using the Wavelet transform (WT) analysis. Here, fluctuations with |Z| > 1.96 were considered significantly different from healthy values, whereas positive or negative Z values indicated higher or lower deviations from the control mean values. Cooling elicited more measurable changes in LDF and temperature fluctuations, especially in higher frequency components (cardiac, respiratory, and myogenic), whereas PORH notably evoked changes in lower frequency components (myogenic, autonomic, and endothelial). No significant Z-score deviations were observed in the second measurement, which might signify a stabilization of the patient’s distal perfusion following the new therapeutic approach. This analysis involving one EM patient, while clearly exploratory, has shown significant deviations in WT-derived physiological components’ values in comparison with the healthy group, confirming the interest in using cold temperature as a challenger. The apparent agreement achieved with the clinical evaluation opens the possibility of expanding this approach to other patients and pathologies in vascular medicine.NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)RUNRodrigues, Luis MonteiroCaetano, JoanaAndrade, Sergio FaloniRocha, ClementeAlves, José DelgadoFerreira, Hugo Alexandre2024-01-17T22:36:48Z2023-122023-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/162421eng2227-9059PURE: 81473814https://doi.org/10.3390/biomedicines11123327info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:45:20Zoai:run.unl.pt:10362/162421Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:58:53.988587Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Studying Erythromelalgia Using Doppler Flowmetry Perfusion Signals and Wavelet Analysis—An Exploratory Study
title Studying Erythromelalgia Using Doppler Flowmetry Perfusion Signals and Wavelet Analysis—An Exploratory Study
spellingShingle Studying Erythromelalgia Using Doppler Flowmetry Perfusion Signals and Wavelet Analysis—An Exploratory Study
Rodrigues, Luis Monteiro
erythromelalgia
laser doppler flowmetry
skin perfusion
wavelet analysis
Medicine (miscellaneous)
Biochemistry, Genetics and Molecular Biology(all)
title_short Studying Erythromelalgia Using Doppler Flowmetry Perfusion Signals and Wavelet Analysis—An Exploratory Study
title_full Studying Erythromelalgia Using Doppler Flowmetry Perfusion Signals and Wavelet Analysis—An Exploratory Study
title_fullStr Studying Erythromelalgia Using Doppler Flowmetry Perfusion Signals and Wavelet Analysis—An Exploratory Study
title_full_unstemmed Studying Erythromelalgia Using Doppler Flowmetry Perfusion Signals and Wavelet Analysis—An Exploratory Study
title_sort Studying Erythromelalgia Using Doppler Flowmetry Perfusion Signals and Wavelet Analysis—An Exploratory Study
author Rodrigues, Luis Monteiro
author_facet Rodrigues, Luis Monteiro
Caetano, Joana
Andrade, Sergio Faloni
Rocha, Clemente
Alves, José Delgado
Ferreira, Hugo Alexandre
author_role author
author2 Caetano, Joana
Andrade, Sergio Faloni
Rocha, Clemente
Alves, José Delgado
Ferreira, Hugo Alexandre
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
RUN
dc.contributor.author.fl_str_mv Rodrigues, Luis Monteiro
Caetano, Joana
Andrade, Sergio Faloni
Rocha, Clemente
Alves, José Delgado
Ferreira, Hugo Alexandre
dc.subject.por.fl_str_mv erythromelalgia
laser doppler flowmetry
skin perfusion
wavelet analysis
Medicine (miscellaneous)
Biochemistry, Genetics and Molecular Biology(all)
topic erythromelalgia
laser doppler flowmetry
skin perfusion
wavelet analysis
Medicine (miscellaneous)
Biochemistry, Genetics and Molecular Biology(all)
description Funding Information: This research was financed by national funds through FCT—Foundation for Science and Technology, I.P. (Portugal), under the [UIDB/04567/2020] and [UIDP/04567/2020] programs. All imaging instrumentation was provided by ALIES-COFAC. Publisher Copyright: © 2023 by the authors.
publishDate 2023
dc.date.none.fl_str_mv 2023-12
2023-12-01T00:00:00Z
2024-01-17T22:36:48Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/162421
url http://hdl.handle.net/10362/162421
dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 2227-9059
PURE: 81473814
https://doi.org/10.3390/biomedicines11123327
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