Higher levels of depression are associated with increased all-cause mortality in individuals with chronic kidney disease: A prospective study based on the NHANES database
Jingui Zhao , Mei Wu , Li Zhang , Xue Han , Jianrong Wu , Chaoban Wang
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引用次数: 0
Abstract
Background
Chronic kidney disease (CKD) is a progressive condition associated with high mortality rates worldwide. Although depression is common in CKD patients, it is rarely addressed in current management guidelines, possibly due to limited long-term data.
Methods
We analyzed data from the National Health and Nutrition Examination Survey and the National Death Index from 2005 to 2020. CKD patients with complete data on mortality and covariate data were included. Depression was assessed using the PHQ-9 questionnaire, categorizing participants into four groups: four levels (G1=0, G2=1–3, G3=4–9, G4≥10). A Cox regression model evaluated the relationship between depression levels and all-cause mortality.
Results
Among 4438 CKD patients (mean age 58.28 years, 48 % male), and a dose-response relationship was observed, with increasing depression severity associated with progressively higher mortality risk. After adjusting for key prognostic indicators of CKD, the Cox regression model demonstrated that the high depression group (G4) exhibited a significantly higher risk of death compared to the no depression group (G1) (model 3-G4: HR = 1.69 (1.33, 2.14), P < 0.001). Subgroup analyses further revealed consistent trends across demographics.
Conclusion
Depression is an independent predictor of increased mortality in CKD patients. Even mild depression can adversely affect survival. Identifying and treating depression in CKD patients may improve prognosis, highlighting the need for further research into this relationship.
期刊介绍:
The Journal of Affective Disorders publishes papers concerned with affective disorders in the widest sense: depression, mania, mood spectrum, emotions and personality, anxiety and stress. It is interdisciplinary and aims to bring together different approaches for a diverse readership. Top quality papers will be accepted dealing with any aspect of affective disorders, including neuroimaging, cognitive neurosciences, genetics, molecular biology, experimental and clinical neurosciences, pharmacology, neuroimmunoendocrinology, intervention and treatment trials.