OBJECTIVE: Kidney transplantation is recognized as the only potentially curative treatment for end-stage renal failure. But many psychiatric problems are associated with the procedure. The purpose of this study was to identify predictors of a risk for depression after kidney transplantation. MATERIALS AND METHODS: This retrospective cohort study recruited 116 first kidney-only Japanese recipients whose mean age was 50.2 +/- 11.87 years include a male/female ratio of 63/53. They underwent transplantation between 1990 and 2008. At enrollment, we used the Zung Self-rating Depression Scale score as well as characterized demographic and clinical features of recipients and donors. Comparisons between depressed and non-depressed patients concerning sociodemographic and clinical characteristics were used chi(2) tests for categorical variables and Student's t-tests for continuous variables. Risk factors with significant correlation coefficients (P < .05) were entered into a stepwise logistic regression model to identify the best single risk factor for depression after kidney transplantation. RESULT: The prevalence of depression in this study was 41.4%. Depressed patients were significantly more likely to not have regular incomes, nor to have desired kidney transplantation, to have experienced a rejection episode, and to live alone (P < .05). The single best predictor of future depression was living alone; subjects living alone were 2.51 times more likely to be depressed as those living with others (adjusted odds ratio [OR], 2.51; 95% confidence interval [CI], 1.31-5.22; P < .05). CONCLUSION: Although depression after kidney transplantation is driven by multiple, complex, and often overlapping risk factors, we observed characteristic features of recipients including their social environment and follow-up treatment.
OBJECTIVE: Kidney transplantation is recognized as the only potentially curative treatment for end-stage renal failure. But many psychiatric problems are associated with the procedure. The purpose of this study was to identify predictors of a risk for depression after kidney transplantation. MATERIALS AND METHODS: This retrospective cohort study recruited 116 first kidney-only Japanese recipients whose mean age was 50.2 +/- 11.87 years include a male/female ratio of 63/53. They underwent transplantation between 1990 and 2008. At enrollment, we used the Zung Self-rating Depression Scale score as well as characterized demographic and clinical features of recipients and donors. Comparisons between depressed and non-depressedpatients concerning sociodemographic and clinical characteristics were used chi(2) tests for categorical variables and Student's t-tests for continuous variables. Risk factors with significant correlation coefficients (P < .05) were entered into a stepwise logistic regression model to identify the best single risk factor for depression after kidney transplantation. RESULT: The prevalence of depression in this study was 41.4%. Depressedpatients were significantly more likely to not have regular incomes, nor to have desired kidney transplantation, to have experienced a rejection episode, and to live alone (P < .05). The single best predictor of future depression was living alone; subjects living alone were 2.51 times more likely to be depressed as those living with others (adjusted odds ratio [OR], 2.51; 95% confidence interval [CI], 1.31-5.22; P < .05). CONCLUSION: Although depression after kidney transplantation is driven by multiple, complex, and often overlapping risk factors, we observed characteristic features of recipients including their social environment and follow-up treatment.
Authors: Helge H Müller; Matthias Englbrecht; Michael S Wiesener; Stephanie Titze; Katharina Heller; Teja W Groemer; Georg Schett; Kai-Uwe Eckardt; Johannes Kornhuber; Juan Manuel Maler Journal: PLoS One Date: 2015-11-11 Impact factor: 3.240
Authors: Courtenay M Holscher; Joseph Leanza; Alvin G Thomas; Madeleine M Waldram; Christine E Haugen; Kyle R Jackson; Sunjae Bae; Allan B Massie; Dorry L Segev Journal: BMC Nephrol Date: 2018-09-04 Impact factor: 2.388