Cluster Analysis to Identify Possible Subgroups in Tinnitus Patients
| Autor: | Rutger Hofman, Minke J C van den Berge, Pim van Dijk, Rolien Free, J. Marc C. van Dijk, Emile de Kleine, Rosemarie Arnold |
|---|---|
| Přispěvatelé: | Perceptual and Cognitive Neuroscience (PCN), Movement Disorder (MD) |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
medicine.medical_specialty
Referral Population Audiology principle component analysis 03 medical and health sciences Mental distress 0302 clinical medicine medicine otorhinolaryngologic diseases University medical 030212 general & internal medicine tinnitus education Original Research education.field_of_study business.industry Care group Neurology subgroup identification Expert opinion Physical therapy Neurology (clinical) HEALTH medicine.symptom Large group business heterogeneity of tinnitus 030217 neurology & neurosurgery Tinnitus Neuroscience cluster analysis |
| Zdroj: | Frontiers in Neurology, 8:115. Frontiers Media SA Frontiers in Neurology |
| ISSN: | 1664-2295 |
| DOI: | 10.3389/fneur.2017.00115 |
| Popis: | Introduction: In tinnitus treatment, there is a tendency to shift from a "one size fits all" to a more individual, patient-tailored approach. Insight in the heterogeneity of the tinnitus spectrum might improve the management of tinnitus patients in terms of choice of treatment and identification of patients with severe mental distress. The goal of this study was to identify subgroups in a large group of tinnitus patients.Methods: Data were collected from patients with severe tinnitus complaints visiting our tertiary referral tinnitus care group at the University Medical Center Groningen. Patientreported and physician-reported variables were collected during their visit to our clinic. Cluster analyses were used to characterize subgroups. For the selection of the right variables to enter in the cluster analysis, two approaches were used: (1) variable reduction with principle component analysis and (2) variable selection based on expert opinion.Results: Various variables of 1,783 tinnitus patients were included in the analyses. Cluster analysis (1) included 976 patients and resulted in a four-cluster solution. The effect of external influences was the most discriminative between the groups, or clusters, of patients. The "silhouette measure" of the cluster outcome was low (0.2), indicating a "no substantial" cluster structure. Cluster analysis (2) included 761 patients and resulted in a three-cluster solution, comparable to the first analysis. Again, a "no substantial" cluster structure was found (0.2).Conclusion: Two cluster analyses on a large database of tinnitus patients revealed that clusters of patients are mostly formed by a different response of external influences on their disease. However, both cluster outcomes based on this dataset showed a poor stability, suggesting that our tinnitus population comprises a continuum rather than a number of clearly defined subgroups. |
| Databáze: | OpenAIRE |
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