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Cluster Analysis Revealed Two Hidden Phenotypes of Cluster Headache

OBJECTIVE: To investigate the possible subgroups of patients with Cluster Headache (CH) by using K-means cluster analysis. METHODS: A total of 209 individuals (mean (SD) age: 39.8 (11.3) years), diagnosed with CH by headache experts, participated in this cross-sectional multi-center study. All patie...

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Autores principales: Yalinay Dikmen, Pinar, Ari, Cagla, Sahin, Erdi, Ertas, Mustafa, Mayda Domac, Fusun, Ilgaz Aydinlar, Elif, Sahin, Aysenur, Ozge, Aynur, Ozguner, Hilal, Karadas, Omer, Shafiyev, Javid, Vuralli, Doga, Aktan, Cile, Oguz-Akarsu, Emel, Karli, Necdet, Zarifoglu, Mehmet, Bolay, Hayrunisa, Ekizoglu, Esme, Kocasoy Orhan, Elif, Tasdelen, Bahar, Baykan, Betul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163308/
https://www.ncbi.nlm.nih.gov/pubmed/35669872
http://dx.doi.org/10.3389/fneur.2022.898022
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author Yalinay Dikmen, Pinar
Ari, Cagla
Sahin, Erdi
Ertas, Mustafa
Mayda Domac, Fusun
Ilgaz Aydinlar, Elif
Sahin, Aysenur
Ozge, Aynur
Ozguner, Hilal
Karadas, Omer
Shafiyev, Javid
Vuralli, Doga
Aktan, Cile
Oguz-Akarsu, Emel
Karli, Necdet
Zarifoglu, Mehmet
Bolay, Hayrunisa
Ekizoglu, Esme
Kocasoy Orhan, Elif
Tasdelen, Bahar
Baykan, Betul
author_facet Yalinay Dikmen, Pinar
Ari, Cagla
Sahin, Erdi
Ertas, Mustafa
Mayda Domac, Fusun
Ilgaz Aydinlar, Elif
Sahin, Aysenur
Ozge, Aynur
Ozguner, Hilal
Karadas, Omer
Shafiyev, Javid
Vuralli, Doga
Aktan, Cile
Oguz-Akarsu, Emel
Karli, Necdet
Zarifoglu, Mehmet
Bolay, Hayrunisa
Ekizoglu, Esme
Kocasoy Orhan, Elif
Tasdelen, Bahar
Baykan, Betul
author_sort Yalinay Dikmen, Pinar
collection PubMed
description OBJECTIVE: To investigate the possible subgroups of patients with Cluster Headache (CH) by using K-means cluster analysis. METHODS: A total of 209 individuals (mean (SD) age: 39.8 (11.3) years), diagnosed with CH by headache experts, participated in this cross-sectional multi-center study. All patients completed a semi-structured survey either face to face, preferably, or through phone interviews with a physician. The survey was composed of questions that addressed sociodemographic characteristics as well as detailed clinical features and treatment experiences. RESULTS: Cluster analysis revealed two subgroups. Cluster one patients (n = 81) had younger age at diagnosis (31.04 (9.68) vs. 35.05 (11.02) years; p = 0.009), a higher number of autonomic symptoms (3.28 (1.16) vs. 1.99(0.95); p < 0.001), and showed a better response to triptans (50.00% vs. 28.00; p < 0.001) during attacks, compared with the cluster two subgroup (n = 122). Cluster two patients had higher rates of current smoking (76.0 vs. 33.0%; p=0.002), higher rates of smoking at diagnosis (78.0 vs. 32.0%; p=0.006), higher rates of parental smoking/tobacco exposure during childhood (72.0 vs. 33.0%; p = 0.010), longer duration of attacks with (44.21 (34.44) min. vs. 34.51 (24.97) min; p=0.005) and without (97.50 (63.58) min. vs. (83.95 (49.07) min; p = 0.035) treatment and higher rates of emergency department visits in the last year (81.0 vs. 26.0%; p< 0.001). CONCLUSIONS: Cluster one and cluster two patients had different phenotypic features, possibly indicating different underlying genetic mechanisms. The cluster 1 phenotype may suggest a genetic or biology-based etiology, whereas the cluster two phenotype may be related to epigenetic mechanisms. Toxic exposure to cigarettes, either personally or secondarily, seems to be an important factor in the cluster two subgroup, inducing drug resistance and longer attacks. We need more studies to elaborate the causal relationship and the missing links of neurobiological pathways of cigarette smoking regarding the identified distinct phenotypic classes of patients with CH.
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spelling pubmed-91633082022-06-05 Cluster Analysis Revealed Two Hidden Phenotypes of Cluster Headache Yalinay Dikmen, Pinar Ari, Cagla Sahin, Erdi Ertas, Mustafa Mayda Domac, Fusun Ilgaz Aydinlar, Elif Sahin, Aysenur Ozge, Aynur Ozguner, Hilal Karadas, Omer Shafiyev, Javid Vuralli, Doga Aktan, Cile Oguz-Akarsu, Emel Karli, Necdet Zarifoglu, Mehmet Bolay, Hayrunisa Ekizoglu, Esme Kocasoy Orhan, Elif Tasdelen, Bahar Baykan, Betul Front Neurol Neurology OBJECTIVE: To investigate the possible subgroups of patients with Cluster Headache (CH) by using K-means cluster analysis. METHODS: A total of 209 individuals (mean (SD) age: 39.8 (11.3) years), diagnosed with CH by headache experts, participated in this cross-sectional multi-center study. All patients completed a semi-structured survey either face to face, preferably, or through phone interviews with a physician. The survey was composed of questions that addressed sociodemographic characteristics as well as detailed clinical features and treatment experiences. RESULTS: Cluster analysis revealed two subgroups. Cluster one patients (n = 81) had younger age at diagnosis (31.04 (9.68) vs. 35.05 (11.02) years; p = 0.009), a higher number of autonomic symptoms (3.28 (1.16) vs. 1.99(0.95); p < 0.001), and showed a better response to triptans (50.00% vs. 28.00; p < 0.001) during attacks, compared with the cluster two subgroup (n = 122). Cluster two patients had higher rates of current smoking (76.0 vs. 33.0%; p=0.002), higher rates of smoking at diagnosis (78.0 vs. 32.0%; p=0.006), higher rates of parental smoking/tobacco exposure during childhood (72.0 vs. 33.0%; p = 0.010), longer duration of attacks with (44.21 (34.44) min. vs. 34.51 (24.97) min; p=0.005) and without (97.50 (63.58) min. vs. (83.95 (49.07) min; p = 0.035) treatment and higher rates of emergency department visits in the last year (81.0 vs. 26.0%; p< 0.001). CONCLUSIONS: Cluster one and cluster two patients had different phenotypic features, possibly indicating different underlying genetic mechanisms. The cluster 1 phenotype may suggest a genetic or biology-based etiology, whereas the cluster two phenotype may be related to epigenetic mechanisms. Toxic exposure to cigarettes, either personally or secondarily, seems to be an important factor in the cluster two subgroup, inducing drug resistance and longer attacks. We need more studies to elaborate the causal relationship and the missing links of neurobiological pathways of cigarette smoking regarding the identified distinct phenotypic classes of patients with CH. Frontiers Media S.A. 2022-05-20 /pmc/articles/PMC9163308/ /pubmed/35669872 http://dx.doi.org/10.3389/fneur.2022.898022 Text en Copyright © 2022 Yalinay Dikmen, Ari, Sahin, Ertas, Mayda Domac, Ilgaz Aydinlar, Sahin, Ozge, Ozguner, Karadas, Shafiyev, Vuralli, Aktan, Oguz-Akarsu, Karli, Zarifoglu, Bolay, Ekizoglu, Kocasoy Orhan, Tasdelen and Baykan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Yalinay Dikmen, Pinar
Ari, Cagla
Sahin, Erdi
Ertas, Mustafa
Mayda Domac, Fusun
Ilgaz Aydinlar, Elif
Sahin, Aysenur
Ozge, Aynur
Ozguner, Hilal
Karadas, Omer
Shafiyev, Javid
Vuralli, Doga
Aktan, Cile
Oguz-Akarsu, Emel
Karli, Necdet
Zarifoglu, Mehmet
Bolay, Hayrunisa
Ekizoglu, Esme
Kocasoy Orhan, Elif
Tasdelen, Bahar
Baykan, Betul
Cluster Analysis Revealed Two Hidden Phenotypes of Cluster Headache
title Cluster Analysis Revealed Two Hidden Phenotypes of Cluster Headache
title_full Cluster Analysis Revealed Two Hidden Phenotypes of Cluster Headache
title_fullStr Cluster Analysis Revealed Two Hidden Phenotypes of Cluster Headache
title_full_unstemmed Cluster Analysis Revealed Two Hidden Phenotypes of Cluster Headache
title_short Cluster Analysis Revealed Two Hidden Phenotypes of Cluster Headache
title_sort cluster analysis revealed two hidden phenotypes of cluster headache
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163308/
https://www.ncbi.nlm.nih.gov/pubmed/35669872
http://dx.doi.org/10.3389/fneur.2022.898022
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