Perfil dos pacientes atendidos no centro multidisciplinar de dor do Hospital das Clínicas da Universidade Federal de Minas Gerais
Notice bibliographique
Résumé
OBJECTIVE: To assess chronic pain in a multidimensional way and examine its influence on socioeconomic status, functionality, quality of life and psychiatric disorders. METHODS: 103 patients from the Multidisciplinary Pain Center of the Hospital das Clínicas of UFMG (Federal University of Minas Gerais) were interviewed, by applying questionnaires on mobile devices and its own computer program. Socioeconomic data and tools for multidimensional pain assessment were collected. The population of the study was stratified into mild, moderate and severe pain, and subsequently descriptive, comparative and multivariate analyzes were performed in order to identify variables that contributed to the analyzed outcome. RESULTS: The patients had a median age of 55 years, were predominantly female, married, white and had completed high school. Most patients were retired due to disability and financial impacts presented correlations with pain intensity. Age was a risk factor for pain intensity, while gender, family income and duration of pain behaved as protective factors. The analysis showed severe disability and low quality of life for patients. 16.5% of the patients were diagnosed with anxiety, 13.59% with depression and 34.95% presented both anxiety and depression. Those with worse scores in psychosocial functioning were more likely to be associated with anxiety and depression, while patients with better results in quality of life were less likely to be associated with anxiety and depression. In the qualitative assessment of pain, using the McGill Questionnaire, patients with greater pain intensity had higher Pain Indexes in the affective component. There was a positive correlation between the McGill Pain Index and the presence of anxiety and depression and a negative correlation with quality-of- life assessment parameters. Of the entire group studied, 74.76% had severe difficulty sleeping. CONCLUSION: Chronic pain was associated with severe disability and leaving the job market, with the associated negative impact on financial condition. Age, gender, family income and duration of pain were directly linked to pain intensity. In the presence of symptoms of anxiety and depression, chronic pain generated severe functional and psychosocial disability, and also low quality of life, directly relating to pain intensity. Furthermore, the presence of anxiety and depression altered the qualitative assessment of pain, making it more unpleasant. Sleep disorders were very prevalent, posing as one more factor that contributed to the deterioration of quality of life.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,002 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».