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1.
Clin Rheumatol ; 36(7): 1511-1519, 2017 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-28451872

RESUMO

We hypothesized that clinical outcomes might be influenced by personality type (A, B, C, D) in rheumatoid arthritis (RA) and ankylosing spondylitis (AS). One hundred ninety-four patients (104 with RA, 90 with AS) participated in a questionnaire study. We evaluated health-related quality of life (HRQoL) using the Medical Outcome Study Short-Form 36 (SF-36), personality type A/B with the Jenkins Activity Survey, type C with the State-Trait Anger Expression Inventory Anger-in Scale, type D with the Type D Personality Scale, and disease activity with Disease Activity Score with 28 joints for RA and Bath Ankylosing Spondylitis Disease Activity Index for AS. We used Pearson's correlation coefficient, independent samples t tests, and multivariate analyses of variance. In the RA group, type D personality was significantly correlated with 7/12 SF-36 components. AS patients with type D personality had deficits in all SF-36 subscales. Type D was related with higher disease activity in RA and AS. Both RA and AS type C patients had more active disease forms and negatively affected HRQoL subscales. In the RA group, type A personality did not correlate with HRQoL, but it positively influenced pain visual analog scale scores. In AS patients, type A personality was linked with higher HRQoL and with less active disease. Type C and type D personality types were correlated with decreased HRQoL and higher disease activity in RA and AS patients. Type A personality was associated with less active disease and higher HRQoL in AS patients and with less pain in RA patients.


Assuntos
Artrite Reumatoide/psicologia , Personalidade , Qualidade de Vida/psicologia , Espondilite Anquilosante/psicologia , Adulto , Idoso , Idoso de 80 Anos ou mais , Artrite Reumatoide/diagnóstico , Feminino , Nível de Saúde , Humanos , Masculino , Pessoa de Meia-Idade , Determinação da Personalidade , Índice de Gravidade de Doença , Espondilite Anquilosante/diagnóstico , Adulto Jovem
2.
J Med Life ; 7(4): 604-10, 2014.
Artigo em Inglês | MEDLINE | ID: mdl-25713631

RESUMO

From the three Eustachian tube (ET) functions: middle ear protection, secretion clearance and middle ear ventilation, the ventilatory function is unanimously considered the most important one, because proper hearing is established only when tympanic membrane compliance is normal. This requires equilibrium between the middle ear and ambient gas pressure, which makes the normal functioning of active ET opening of critical importance. There are several methods and tests that can assess such a complex and variable mechanism. Sonotubometry is one such method; despite the fact that it has been continuously improved in the last 20 years, it is not yet systematically used to evaluate the ET ventilatory function, because its measurement pattern, context mapping (patient, clinic data, medication, treatment), validation, reproducibility and value for clinic practice, have not yet been fully consolidated and integrated in a knowledge-based, service-oriented system, that can provide decision support or even diagnostic. The paper reviews the role of tubal sonometry as a non-invasive, physiologic and easy to use method in assessing the ventilatory function and investigates the validity and reproducibility of a measuring pattern and test in a group of children. The paper describes the test pattern used, and the computer-based platform based on: (1) Digital Signal Processing (DSP) for sound acquisition and low-level processing; (2) Artificial Intelligence techniques to extract significant sound features from sonotubograms and learn a manifold context database. Results are reported from test series carried out in healthy children; a similar study between tests is included in the final Discussions section.


Assuntos
Tuba Auditiva/diagnóstico por imagem , Ventilação da Orelha Média/instrumentação , Acústica , Criança , Pré-Escolar , Deglutição , Feminino , Humanos , Masculino , Reprodutibilidade dos Testes , Processamento de Sinais Assistido por Computador , Ultrassonografia
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