Cluster Analysis Revealed Two Hidden Phenotypes of Cluster Headache

Dikmen, Pınar Yalınay; Ari, Cagla; Şahin, Erdi; Ertaş, Mustafa; Domaç, Füsun Mayda; Aydınlar, Elif Ilgaz; Sahin, Aysenur; Özge, Aynur; Ozguner, Hilal; Karadaş, Ömer; Shafiyev, Javid; Vurallı, Doğa; Aktan, Çile; Oguz‐Akarsu, Emel; Karlı, Necdet; Zarifoğlu, Mehmet; Bolay, Hayrünnisa; Eki̇zoğlu, Esme; Orhan, Elif Kocasoy; Taşdelen, Bahar; Baykan, Betül

doi:10.3389/fneur.2022.898022

Cited by 3 publications

(2 citation statements)

References 44 publications

(46 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…age, Hikikomori score) data. Therefore, a two-step cluster analysis would be recommended as it could simultaneously analyze nominal and continuous data (Chan et al , 2022; Yalinay et al , 2022). According to the silhouette measure (low 0.2, acceptable 0.2–0.4, sufficiently good 0.5–1.0), clusters are more clearly distinguished (Chan et al , 2021; Al Saadi et al , 2022).…”

Section: Methodsmentioning

confidence: 99%

Cluster analysis of hikikomori-like idiom of distress in Oman

Chan,

Al-Sibani,

Al-Huseini

et al. 2024

JPMH

View full text Add to dashboard Cite

Purpose The phenomenon of social withdrawal, known as the hikikomori-like idiom of distress (HLID), has been reported in many countries. This study aimed to explore profiles of Omanis who have HLID. Design/methodology/approach A cross-sectional online survey of 673 out of 1,529 Omanis identified with HLID using the Hikikomori Questionnaire (HQ-25) score of 42+. Findings Two profile groups were determined through cluster analysis according to socio-demographic and HQ-25 outcomes. Subjects in cluster 1 (n = 168, 24.9%) are significantly younger (p < 0.001) and more educated (p = 0.019), spend more time online (p < 0.001) and are living alone (p < 0.001) than subjects in cluster 2 (n = 505, 75.1%). More subjects in cluster 1 had a past mental illness (p = 0.037) but less previous childhood physical/emotional abuse (p = 0.029) than subjects in cluster 2. In contrast, subjects in cluster 2 had a low lack of socialization (p < 0.001), less active isolation (p < 0.001) and total HQ-25 scores (p < 0.001) than cluster 1. Subjects in Cluster 1 have more serious social withdrawal issues than those in Cluster 2, especially on a lack of socialization and isolation. Research limitations/implications One limitation that might influence the results of this online study was that information was collected via self-report, and a cross-sectional design limits its results because it cannot assess causal inference. This study has contributed valuably to exploring different profile groups of HDLD, especially in the Arabian Gulf. The authors’ findings facilitate the development by creating innovative interventions strategically tackling different hikikomori groups. Originality/value While social withdrawal characterized by HLID has been reported proliferating in different parts of the world, little research has been forthcoming from Arabian Gulf countries. These findings suggest that there are two orthogonal clusters of HLID among Omanis. This study provides a foundation for further research on HLID, which has recently been reported in different parts of the world.

show abstract

Section: Methodsmentioning

confidence: 99%

Cluster analysis of hikikomori-like idiom of distress in Oman

Chan,

Al-Sibani,

Al-Huseini

et al. 2024

JPMH

View full text Add to dashboard Cite

show abstract

“…Other real-world studies have noted that patients can obtain relief from less than 6 mg (15) and there appears to be no tachyphylaxis (14,16,17). Studies of predictors for triptan response have shown that patients with eCH (as opposed to cCH), younger patients, and patients with shorter and less frequent attacks may be more responsive to triptans (18–20). One genetic study identified a common GNB3 variant as a predictor of triptan response in CH (21), though testing for GNB3 is not commonplace in clinical practice.…”

Section: Acute Pharmacological Treatmentsmentioning

confidence: 99%

Management of cluster headache: Treatments and their mechanisms

Peng,

Burish

2023

Cephalalgia

View full text Add to dashboard Cite

Background The management of cluster headache is similar to that of other primary headache disorders and can be broadly divided into acute and preventive treatments. Acute treatments for cluster headache are primarily delivered via rapid, non-oral routes (such as inhalation, nasal, or subcutaneous) while preventives include a variety of unrelated treatments such as corticosteroids, verapamil, and galcanezumab. Neuromodulation is becoming an increasingly popular option, both non-invasively such as vagus nerve stimulation when medical treatment is contraindicated or side effects are intolerable, and invasively such as occipital nerve stimulation when medical treatment is ineffective. Clinically, this collection of treatment types provides a range of options for the informed clinician. Scientifically, this collection provides important insights into disease mechanisms. Methods Two authors performed independent narrative reviews of the literature on guideline recommendations, clinical trials, real-world data, and mechanistic studies. Results Cluster headache is treated with acute treatments, bridge treatments, and preventive treatments. Common first-line treatments include subcutaneous sumatriptan and high-flow oxygen as acute treatments, corticosteroids (oral or suboccipital injections) as bridge treatments, and verapamil as a preventive treatment. Some newer acute (non-invasive vagus nerve stimulation) and preventive (galcanezumab) treatments have excellent clinical trial data for episodic cluster headache, while other newer treatments (occipital nerve stimulation) have been specifically tested in treatment-refractory chronic cluster headache. Most treatments are suspected to act on the trigeminovascular system, the autonomic system, or the hypothalamus. Conclusions The first-line treatments have not changed in recent years, but new treatments have provided additional options for patients.

show abstract

Cluster and network analysis of non-headache symptoms in migraine patients reveals distinct subgroups based on onset age and vestibular-cochlear symptom interconnection

Xiao

Zhou

2023

Front. Neurol.

View full text Add to dashboard Cite

ObjectiveThe present study endeavors to identify natural subgroups of migraine patients based on the patterns of non-headache symptoms, utilizing cluster analysis. Subsequently, network analysis was performed to estimate the structure of symptoms and explore the potential pathophysiology of these findings.MethodA total of 475 patients who met the diagnostic criteria for migraine were surveyed face-to-face during the period of 2019 to 2022. The survey included collecting demographic and symptom data. Four different solutions were generated by the K-means for mixed large data (KAMILA) clustering algorithm, from which the final cluster solutions were selected based on a series of cluster metrics. Subsequently, we performed network analysis using Bayesian Gaussian graphical models (BGGM) to estimate the symptom structure across subgroups and conducted global and pairwise comparisons between structures.ResultCluster analysis identified two distinct patient groups, and the onset age of migraine proved to be an effective characteristic differentiating the two patient groups. Participants assigned to late-onset group showed a longer course of migraine, higher frequency of monthly headache attacks, and greater tendency toward medication overuse. In contrast, patients in early-onset group exhibited a higher frequency of nausea, vomiting, and phonophobia compared to their counterparts in the other group. The network analysis revealed a different symptom structure between the two groups globally, while the pairwise differences indicated an increasing connection between tinnitus and dizziness, and a decreasing connection between tinnitus and hearing loss in the early-onset group.ConclusionUtilizing clustering and network analysis, we have identified two distinct non-headache symptom structures of migraine patients with early-onset age and late-onset age. Our findings suggest that the vestibular-cochlear symptoms may differ in the context of different onset ages of migraine patients, which may contribute to a better understanding of the pathology of vestibular-cochlear symptoms in migraine.

show abstract

Cluster Analysis Revealed Two Hidden Phenotypes of Cluster Headache

Cited by 3 publications

References 44 publications

Cluster analysis of hikikomori-like idiom of distress in Oman

Cluster analysis of hikikomori-like idiom of distress in Oman

Management of cluster headache: Treatments and their mechanisms

Cluster and network analysis of non-headache symptoms in migraine patients reveals distinct subgroups based on onset age and vestibular-cochlear symptom interconnection

Contact Info

Product

Resources

About