OBJECTIVE: There is little information on the relationship between depressive symptoms and survival in peritoneal dialysis (PD) patients. We examined whether a single measurement of depressive symptoms using a simple self-administered tool predicts survival. DESIGN: Screening test of depressive symptoms as a predictor of outcome. SETTING: Three dialysis centers in Southwestern Pennsylvania. PARTICIPANTS: 66 adult PD subjects were screened in 1997-1998 for depression using the Zung scale. MAIN OUTCOME MEASURES: Baseline data collection included assessments of comorbidity, residual renal function, total Kt/V, nPNA, previous renal transplant, and serum albumin. Outcomes were collected prospectively after completion of the depression survey to 12/01. Cox regression analysis of patient survival was performed using all cofactors with p < 0.05 on univariate analysis. RESULTS: One third of patients had depressive symptoms. Compared to nondepressed patients, depressive symptom patients were older (62.5 vs 52.5 years, p = 0.012), had borderline lower serum albumin levels (3.47 vs 3.70 g/dL, p = 0.058), and were more disabled (Karnofsky score 70 vs 90, p< 0.001), but had similar Kt/V, residual renal function, and previous time on PD at the point of the testing. Using multivariate analysis and controlling for comorbidity (using a measurement that includes diabetes mellitus and age) and serum albumin, the survival of patients with depressive symptoms was significantly reduced compared to nondepressed patients. CONCLUSION: A single measurement of depressive symptoms using a simple self-administered test was an independent predictor of death in a cohort of PD patients, which extends observations in hemodialysis patients. Screening for depressive symptoms should be routine for dialysis patients, and those depressed should have thorough assessment and treatment. Whether treating depression will have an impact on survival is unclear and needs to be studied.
OBJECTIVE: There is little information on the relationship between depressive symptoms and survival in peritoneal dialysis (PD) patients. We examined whether a single measurement of depressive symptoms using a simple self-administered tool predicts survival. DESIGN: Screening test of depressive symptoms as a predictor of outcome. SETTING: Three dialysis centers in Southwestern Pennsylvania. PARTICIPANTS: 66 adult PD subjects were screened in 1997-1998 for depression using the Zung scale. MAIN OUTCOME MEASURES: Baseline data collection included assessments of comorbidity, residual renal function, total Kt/V, nPNA, previous renal transplant, and serum albumin. Outcomes were collected prospectively after completion of the depression survey to 12/01. Cox regression analysis of patient survival was performed using all cofactors with p < 0.05 on univariate analysis. RESULTS: One third of patients had depressive symptoms. Compared to nondepressed patients, depressive symptom patients were older (62.5 vs 52.5 years, p = 0.012), had borderline lower serum albumin levels (3.47 vs 3.70 g/dL, p = 0.058), and were more disabled (Karnofsky score 70 vs 90, p< 0.001), but had similar Kt/V, residual renal function, and previous time on PD at the point of the testing. Using multivariate analysis and controlling for comorbidity (using a measurement that includes diabetes mellitus and age) and serum albumin, the survival of patients with depressive symptoms was significantly reduced compared to nondepressed patients. CONCLUSION: A single measurement of depressive symptoms using a simple self-administered test was an independent predictor of death in a cohort of PDpatients, which extends observations in hemodialysis patients. Screening for depressive symptoms should be routine for dialysis patients, and those depressed should have thorough assessment and treatment. Whether treating depression will have an impact on survival is unclear and needs to be studied.
Authors: S Susan Hedayati; Abu T Minhajuddin; Masoud Afshar; Robert D Toto; Madhukar H Trivedi; A John Rush Journal: JAMA Date: 2010-05-19 Impact factor: 56.272
Authors: Diana L Vork; Terry D Schneekloth; Adam C Bartley; Lisa E Vaughan; Maria I Lapid; Sheila G Jowsey-Gregoire; Ziad M El-Zoghby; Sandra M Herrmann; Cheryl L Tran; Robert C Albright; LaTonya J Hickson Journal: Mayo Clin Proc Date: 2018-03 Impact factor: 7.616
Authors: Huseyin Atalay; Yalcin Solak; Murat Biyik; Zeynep Biyik; Mehdi Yeksan; Faruk Uguz; Ibrahim Guney; Halil Zeki Tonbul; Suleyman Turk Journal: Int Urol Nephrol Date: 2009-12-02 Impact factor: 2.370