MO843: Prevalence of Knee Pain in Maintenance Hemodialysis Patients and its Relation to Quality of Life, Depression and Anxiety
Notice bibliographique
Résumé
Abstract BACKGROUND AND AIMS Maintenance hemodialysis (MHD) patients have higher morbidity and mortality compared with general population. Musculoskeletal symptoms causing chronic pain are prevalent among them. Knee pain is one of these symptoms, which may lead to impaired physical ability and health-related quality of life (HRQOL) as well as it may afflict mental state of these patients. Thus, the aims of the current study are to assess prevalence of knee pain, and its relation to HRQOL, anxiety and depression in MHD patients. METHOD This cross-sectional multi-centric study was conducted on 271 patients who had been on hemodialysis (HD) for >6 months. These patients were recruited from multiple HD centers in two governorates in Egypt from June to December 2021. Socioeconomic, clinical and laboratory data were obtained from the patients. The Western Ontario and McMaster Universities Arthritis Index (WOMAC) was used to evaluate knee pain [1]. Mood disorders in the form of anxiety and depression were assessed by the hospital anxiety and depression scale (HADS). Kidney Disease Quality of Life (KDQOLTM-36) was used to measure HRQOL of these patients. The studied patients were divided into 2 groups according to the presence of knee pain. The severity of knee pain was defined by visual analogue scale as follows: mild (1–3), moderate (4–6) and sever (7–10). Comparison between two groups of patients was carried out as regards socioeconomic, clinical and laboratory data, anxiety, depression and 5 components of HRQOL. RESULTS The present study involved 271 (160 males). The median age of the patients was 51 years with median duration of HD of 6 years. Knee pain was present in 158 patients (58.3%). Patients with knee pain were significantly older than those without (P = 0.013). Females (50% versus 28.3%), patients who not had a job (34.8% vas 26.5%) and patients with psychiatric disorders (5.7% versus 0) constituted significantly higher percentages in group of patients with knee pain than other group. On the other hand, there were no statistically significant differences between both groups regarding marital status, residence, educational level, socioeconomic status and smoking. HD duration was significantly longer in patients with knee pain than those without (P = 0.004). Patients with knee pain had significantly lower blood hemoglobin than without (10.26 ± 1.3 versus 10.67 ± 1.3, P = 0.02). Median and min-max of WOMAC scores were 34.4(0–36), 55.2(12–78 and 53.1(4–100) in mild, moderate, and sever knee pain, respectively. Patients with abnormal anxiety score were significantly more in group of patients with knee pain than those without (P = 0.002). Four components of HRQOL were significantly worse MHD patients with knee pain (Table 1). CONCLUSION Knee pain is prevalent among MHD patients. Older age, female gender, longer duration of hemodialysis, and psychiatric disorders are risk factors that may contribute to knee pain. Knee pain in MHD patients is associated with impaired HRQOL and anxiety. Pain, stiffness and physical function are worsening with increased severity of knee pain among these patients.
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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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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) | 0,000 | 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 ».