BMC Oral Health | |
Profiling the clinical presentation of diagnostic characteristics of a sample of symptomatic TMD patients | |
Cláudio Rodrigues Leles2  Cláudio de Góis Nery1  Marianita Batista de Macedo Nery3  Luciana Pimenta e Silva Machado3  | |
[1] School of Dentistry, Federal University of Goias, Goiania, Goias, Brazil;DPRO/Faculdade de Odontologia, Praça Universitária, s/n. Setor Universitário, CEP 74.605-220, Goiania, Goias, Brazil;Private practice, Goiania, Goias, Brazil | |
关键词: Diagnosis-related groups; Clinical diagnosis; Cluster analysis; Temporomandibular disorders; | |
Others : 1126422 DOI : 10.1186/1472-6831-12-26 |
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received in 2012-01-06, accepted in 2012-07-26, 发布年份 2012 | |
【 摘 要 】
Background
Temporomandibular disorder (TMD) patients might present a number of concurrent clinical diagnoses that may be clustered according to their similarity. Profiling patients’ clinical presentations can be useful for better understanding the behavior of TMD and for providing appropriate treatment planning. The aim of this study was to simultaneously classify symptomatic patients diagnosed with a variety of subtypes of TMD into homogenous groups based on their clinical presentation and occurrence of comorbidities.
Methods
Clinical records of 357 consecutive TMD patients seeking treatment in a private specialized clinic were included in the study sample. Patients presenting multiple subtypes of TMD diagnosed simultaneously were categorized according to the AAOP criteria. Descriptive statistics and two-step cluster analysis were used to characterize the clinical presentation of these patients based on the primary and secondary clinical diagnoses.
Results
The most common diagnoses were localized masticatory muscle pain (n = 125) and disc displacement without reduction (n = 104). Comorbidity was identified in 288 patients. The automatic selection of an optimal number of clusters included 100% of cases, generating an initial 6-cluster solution and a final 4-cluster solution. The interpretation of within-group ranking of the importance of variables in the clustering solutions resulted in the following characterization of clusters: chronic facial pain (n = 36), acute muscle pain (n = 125), acute articular pain (n = 75) and chronic articular impairment (n = 121).
Conclusion
Subgroups of acute and chronic TMD patients seeking treatment can be identified using clustering methods to provide a better understanding of the clinical presentation of TMD when multiple diagnosis are present. Classifying patients into identifiable symptomatic profiles would help clinicians to estimate how common a disorder is within a population of TMD patients and understand the probability of certain pattern of clinical complaints.
【 授权许可】
2012 Machado et al.; licensee BioMed Central Ltd.
【 预 览 】
Files | Size | Format | View |
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20150218142953473.pdf | 253KB | download | |
Figure 1. | 72KB | Image | download |
【 图 表 】
Figure 1.
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