Key result
Random Forest outperforms LASSO in predicting chronic renal failure hospitalization expenses with an R2 of ~0.79.
Why the study?
Research examining relationships among anxiety, depression, self-perceived burden, and psychological resilience, along with determinants of psychological resilience, in patients with chronic renal failure on maintenance hemodialysis is limited.
Observational (n=1,635)
Yes
Absolute Event Rate: 0.7946% vs 0.6992%
In patients with chronic renal failure on maintenance hemodialysis, anxiety, depression, and self-perceived burden are negatively correlated with psychological resilience.
May aid hospitalization cost prediction in chronic renal failure; hypothesis-generating and leaves open prospective validation.
BACKGROUND Research examining the relationships among anxiety, depression, self-perceived burden (SPB), and psychological resilience (PR), along with the determinants of PR, in patients with chronic renal failure (CRF) receiving maintenance hemodialysis (MHD) is limited. AIM To investigate the correlation between anxiety, depression, SPB, and PR in patients with CRF on MHD. METHODS This study included 225 patients with CRF on MHD who were admitted between June 2021 and June 2024. The anxiety level was evaluated using the Self-Rating Anxiety Scale (SAS); the depression status was assessed using the Self-Rating Depression Scale (SDS); the SPB was measured using the SPB Scale (SPBS); and the PR was determined using the Connor–Davidson Resilience Scale (CD-RISC). The correlations among the SAS, SDS, SPB, and CD-RISC were analyzed using Pearson’s correlation coefficients. Univariate and multivariate analyses were performed to identify the factors that influence the PR of patients with CRF on MHD. RESULTS The SAS, SDS, SPB, and CD-RISC scores of the 225 patients were 45.25 ± 15.36, 54.81 ± 14.68, 32.31 ± 11.52, and 66.48 ± 9.18, respectively. Significant negative correlations were observed between SAS, SDS, SPB, and CD-RISC. Furthermore, longer dialysis vintage (P = 0.015), the absence of religious beliefs (P = 0.020), lower monthly income (P = 0.008), higher SAS score (P = 0.013), and higher SDS score (P = 0.006) were all independent factors that adversely affected the PR of patients with CRF on MHD. CONCLUSION Patients with CRF on MHD present with varying degrees of anxiety, depression, and SPB, all of which exhibit a significant negative correlation with their PR. Moreover, longer dialysis vintage, the absence of religious beliefs, lower monthly income, higher SAS score, and higher SDS score were factors that negatively affected the PR of patients with CRF on MHD.
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Ye et al. (2025) conducted an observational in Chronic renal failure (n=1,635). Random Forest prediction model vs. LASSO regression model was evaluated on Coefficient of determination (R2) for predicting hospitalization expenses. The Random Forest prediction model outperformed the LASSO regression model in predicting hospitalization expenses for patients with chronic renal failure, achieving an R2 of 0.7946 compared to 0.6992.
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