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Patient Profiling Based on Spectral Clustering for an Enhanced Classification of Patients with Tension-Type Headache

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Patient Profiling Based on Spectral Clustering for an Enhanced Classification of Patients with Tension-Type Headache

dc.contributor.author	Pellicer Valero, Oscar José
dc.contributor.author	Fernández de las Peñas, César
dc.contributor.author	Martín Guerrero, José David
dc.contributor.author	Navarro Pardo, Esperanza
dc.contributor.author	Cigarán Méndez, Margarita I.
dc.contributor.author	Florencio, Lidiane L.
dc.date.accessioned	2021-02-04T16:35:57Z
dc.date.available	2021-02-04T16:35:57Z
dc.date.issued	2020
dc.identifier.citation	Pellicer Valero, Oscar José Fernández de las Peñas, César Martín Guerrero, José David Navarro Pardo, Esperanza Cigarán Méndez, Margarita I. Florencio, Lidiane L. 2020 Patient Profiling Based on Spectral Clustering for an Enhanced Classification of Patients with Tension-Type Headache Applied Sciences-Basel 10 24 (9109) 1 13
dc.identifier.uri	https://hdl.handle.net/10550/77601
dc.description.abstract	Profiling groups of patients in clusters can provide meaningful insights into the features of the population, thus helping to identify people at risk of chronification and the development of specific therapeutic strategies. Our aim was to determine if spectral clustering is able to distinguish subgroups (clusters) of tension-type headache (TTH) patients, identify the profile of each group, and argue about potential di erent therapeutic interventions. A total of 208 patients (n = 208) with TTH participated. Headache intensity, frequency, and duration were collected with a 4-week diary. Anxiety and depressive levels, headache-related burden, sleep quality, health-related quality of life, pressure pain thresholds (PPTs), dynamic pressure thresholds (DPT) and evoked-pain, and the number of trigger points (TrPs) were evaluated. Spectral clustering was used to identify clusters of patients without any previous assumption. A total of three clusters of patients based on a main difference on headache frequency were identified: one cluster including patients with chronic TTH (cluster 2) and two clusters including patients with episodic TTH (clusters 0-1). Patients in cluster 2 showed worse scores in all outcomes than those in clusters 0-1. A subgroup of patients with episodic TTH exhibited pressure pain hypersensitivity (cluster 0) similarly to those with chronic TTH (cluster 2). Spectral clustering was able to confirm subgrouping of patients with TTH by headache frequency and to identify a group of patients with episodic TTH with higher sensitization, which may need particular attention and specific therapeutic programs for avoiding potential chronification.
dc.language.iso	eng
dc.relation.ispartof	Applied Sciences-Basel, 2020, vol. 10, num. 24 (9109), p. 1-13
dc.subject	Psicologia
dc.title	Patient Profiling Based on Spectral Clustering for an Enhanced Classification of Patients with Tension-Type Headache
dc.type	journal article	es_ES
dc.date.updated	2021-02-04T16:35:58Z
dc.identifier.doi	10.3390/app10249109
dc.identifier.idgrec	142244
dc.rights.accessRights	open access	es_ES