MP736INFLUENCE OF MEDICAL AND PSYCHOLOGICAL FACTORS ON DEPRESSION IN HEMODIALYSIS PATIENTS
Notice bibliographique
Résumé
INTRODUCTION AND AIMS: Patients receiving maintenance hemodialysis (HD) with end-stage renal disease are increasing steadily every year. These patients have not only renal problems but also have various underlying diseases, which are very high mortality rates compared to the general population. Physical and mental limitations arise due to regular visits to the hospital for HD treatment. Psychiatric disorders are common due to a variety of causes, and the prevalence of depression is reported to range from 20 to 70%. However, since psychiatric diseases including depression are overlooked by nephrologists, the control of symptoms is very insufficient. The purpose of this study is to investigate the prevalence of depression in HD patients and to investigate the significant clinical factors and psychological factors including quality of life associated with depression. METHODS: The study included 160 patients who were undergoing HD. Patients receiving HD with acute kidney injury were excluded. Depression was assessed by the Hospital Anxiety Depression Scale, and was diagnosed when the scores for depression subscale were 8 points or higher. We evaluated clinical factors, including albumin, Kt/V as a marker of dialysis adequacy, normalized protein catabolic rate and duration of HD. Psychological factors were assessed using Multidimensional Scale of Perceived Social Support, Montreal Cognitive Assessment, and Pittsburgh Sleep Quality Index. World Health Organization Quality of Life Questionnaire-Brief Version (WHOQOL-BREF) was used to evaluate quality of life. RESULTS: The prevalence of depression in HD patients was 60.6% and the mean depression score was 8.91 ± 4.49 points. The mean age was 58.17 ± 11.87 years and 91 (56.9%) were men. The mean WHOQOL-BREF scores for each domain were as follows: 17.58 ± 5.51 in the physical health, 15.45 ± 4.68 in the psychological, 7.87 ± 2.47 in the social relationships and 20.97 ± 6.09 in the environmental. Depression was significantly associated with anxiety (p<0.001), social support (p=0.044), insomnia (p<0.001) and quality of life: physical health (p<0.001), psychological (p<0.001), social relationships (p=0.05), respectively. Multiple regression analysis showed that anxiety (p=0.002) and insomnia (p=0.02) were independent factors of depression. CONCLUSIONS: This study confirmed that depression occurs in many HD patients. Anxiety and insomnia appeared to be independent risk factors that negatively affect depression. Therefore, through the collaboration with psychiatrist, an accurate diagnosis and active treatment of depression are needed. We should develop programs to improve psychological factors such as anxiety and insomnia rather than improvement of clinical factors.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».