PSYCHO-EMOTIONAL ASPECTS IN THE FORMATION OF PAIN SYNDROME CHARACTERISTICS IN PATIENTS WITH MULTIPLE SCLEROSIS
Notice bibliographique
Résumé
Introduction: Pain syndromes, anxiety, and depression are common syndromes in multiple sclerosis (MS). Comorbidity of pain and depression or pain and anxiety exists in up to one-third of MS patients. Based on the biopsychosocial model of pain, given the high prevalence of these symptoms and their frequent combination in MS, which is significantly higher than in the general population, we can hypothesize the relationship between the characteristics of pain and anxiety and depression in patients with MS. Objectives: To assess the prevalence of anxiety and depression among MS patients with pain syndromes and analyze the relationship between anxiety and depression with pain syndromes' characteristics in patients with MS. Methods: Data were collected prospectively at Lviv Regional Multiple Sclerosis Center. 120 randomly selected patients with a confirmed diagnosis of multiple sclerosis were examined. 104 of them had pain syndromes during the last month. Complaints and medical history, analysis of medical records, neurological and general medical examination of the patients were collected. Depressive symptoms and anxiety were assessed in all patients using the Hospital Anxiety and Depression Scale (HADS) questionnaire. In patients with pain syndromes, the Visual analogue scale (VAS), Short-form McGill Pain Questionnaire 2 (SF-MPQ-2), Pain Detect were used to assess pain characteristics. Results: The levels of anxiety and depression were higher in the group of MS patients with pain. The level of anxiety was 9.0 [6,0; 12,75] in the group with pain and 7.0 [4,0; 9,25] in the group without pain (p=0.04). The level of depression was 7.0 [4,0; 10,0] in the group with pain and 4.0 [1,75; 6,0] in the group without pain (p<0,01). It was found that part of MS patients with pain syndromes with anxiety was 36.5%, and 29.8% had a subclinical level of anxiety; part of MS patients with pain syndromes with depression was 19.23%. The proportion of patients with anxiety was highest in patients with neuropathic pain: 56.3% ± 8.8% vs. 22.4% ± 6.0% with nociceptive, p<0.01. A similar situation is observed in patients with depression. The share of patients with depression was higher in the group with neuropathic pain 37.5% ± 8.6%, compared to 14.3% ± 5.0% with nociceptive, p=0.02. The proportion of patients with MS without signs of anxiety and depression is significantly higher among patients with nociceptive pain (p<0,05). Also, the correlational relationship between the level of anxiety and depression with the level of the neuropathic type of pain manifestation was found (r=0,40; p<0,01 and r=0,30; p<0,01). Levels of anxiety and depression correlated with the average pain intensity per month (r = 0,21; p=0,03) and did not have a statistically significant relationship with pain intensity at the time of examination and the strongest pain for the last month. The anxiety and depression had correlations with all components of the structure of pain syndromes (according to sfMPQ-2), but the most pronounced direct correlation was found between anxiety and the affective component of pain (r=0,57; p<0,01). It was also found that the level of anxiety was proved to be higher in patients who have 2-3 pain syndromes, than in patients with one pain syndrome: 12.0 [8,0; 14,0] points against 8.0 [5,0; 11,0] points, p<0.01. Besides, this localization of pain in the arms, shoulders and back was related to higher levels of anxiety (r=0.22; p=0.03). Conclusion: Pain syndromes, anxiety, and depression are widespread among patients with MS and there is a relationship between them. MS patients with pain have higher levels of anxiety and depression than MS patients without pain. It is also noteworthy that among MS patients with pain syndromes, high levels of anxiety are detected. Anxiety and depression also have a pronounced relationship with a neuropathic component of pain in patients with MS. Besides this, the presence of more than one pain syndrome, high average pain intensity per month is associated with higher levels of anxiety and depression. The localization of pain in the arms, shoulders and back is related to higher anxiety levels. These discoveries, combined with modern neuroimaging technologies used in the next step of our study, will provide a better understanding of both pain and its structure, as well as anxiety and depression
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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 | 0,006 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,002 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».