Background: Differences in symptom burden, treatment satisfaction and autonomy between patients receiving peritoneal dialysis and haemodialysis could be reflected by a difference in symptom... Show moreBackground: Differences in symptom burden, treatment satisfaction and autonomy between patients receiving peritoneal dialysis and haemodialysis could be reflected by a difference in symptom dimensions of anxiety and depression. The aim of this study is to assess differences in prevalence and symptom dimensions of anxiety and depression between patients receiving peritoneal dialysis and haemodialysis. Methods: Baseline data from the Depression Related Factors and Outcomes in Dialysis Patients With Various Ethnicities and Races Study were used. Symptoms of anxiety and depression were measured with the Beck Anxiety Inventory and Beck Depression Inventory- second edition. Linear and logistic regression models were used to compare anxiety and depression total scores and somatic and subjective/cognitive symptom dimension scores between patients receiving peritoneal dialysis and haemodialysis, adjusted for potential confounders. Results: In total, 84 patients receiving peritoneal dialysis and 601 patients receiving haemodialysis were included. Clinically significant symptoms of anxiety and depression were present in respectively 22% and 43% of the patients, with no differences between dialysis modality. Both modalities scored high on the somatic symptom dimensions and on individual somatic items. Almost all patients reported symptoms related to loss of energy and sleep. Conclusion: No differences in symptom dimensions of anxiety and depression were found between patients receiving peritoneal dialysis and haemodialysis. The high prevalence of somatic symptom dimensions in both groups underscores the possible interaction between somatic and psychiatric symptoms in dialysis patients and the need for early recognition and treatment of symptoms of anxiety and depression regardless of treatment modalities. Show less
Schouten, R.W.; Harmse, V.J.; Dekker, F.W.; Ballegooijen, W. van; Siegert, C.E.H.; Honig, A. 2019
Objective Unraveling specific dimensions of depressive symptoms may help to improve screening and treatment in dialysis patients. We aimed to identify the best-fitting factorial structure for the... Show moreObjective Unraveling specific dimensions of depressive symptoms may help to improve screening and treatment in dialysis patients. We aimed to identify the best-fitting factorial structure for the Beck Depression Inventory-II (BDI) in dialysis patients and to assess the relation of these structure dimensions with quality of life (QoL), hospitalization, and mortality. Methods This prospective study included chronic dialysis patients from 10 dialysis centers in five hospitals between 2012 and 2017. Dimensions of depressive symptoms within the BDI were analyzed using confirmatory factor analysis. To investigate the clinical impact of these dimensions, the associations between symptom dimensions and QoL, hospitalization rate, and mortality were investigated using logistic, Poisson, and Cox proportional hazard regression models. Multivariable regression models included demographic, social, and clinical variables. Results In total, 687 dialysis patients were included. The factor model that included a general and a somatic factor provided the best-fitting structure of the BDI-II. Only the somatic dimension scores were associated with all-cause mortality (hazard ratio of 1.7 [1.2-2.5], p < .007) in the multivariable model. All dimensions were associated with increased hospitalization rate and reduced QoL. Conclusions The somatic dimension of the BDI-II in dialysis patients was associated with all-cause mortality, increased hospitalization rate, and reduced QoL. Other dimensions were associated with hospitalization rate and decreased QoL. These findings show that symptom dimensions of depression have differential association with adverse clinical outcomes. Future studies should take symptom dimensions into account when investigating depression-related pathways, screening, and treatment effects in dialysis patients. Show less
