A nomogram integrating HbA1c, sleep quality, social support, and vision-related quality of life predicts depression risk in patients with type 2 diabetic retinopathy
This cross-sectional study of 490 diabetic retinopathy patients found that a nomogram combining four predictors (HbA1c, PSQI score, SSRS score, and VRQoL score) achieved excellent discrimination for depression risk (AUC=0.918 in training, 0.867 in internal validation, 0.875 in temporal validation). The prevalence of depressive symptoms was 29.18%. The nomogram can aid early screening of high-risk individuals.
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A nomogram integrating HbA1c, sleep quality, social support, and vision-related quality of life predicts depression risk in patients with type 2 diabetic retinopathy The current body of evidence comprises 1 study. EvidenceHub rates the overall confidence at 34/100 (low).
The Claim
A nomogram integrating HbA1c, sleep quality, social support, and vision-related quality of life predicts depression risk in patients with type 2 diabetic retinopathy
This conclusion is most relevant to: Patients with type 2 diabetic retinopathy (n=490, mean age not specified).
What the Research Shows
The conclusion draws on 1 linked study. Highlights from the cited literature:
- ▸Vision-Focused Nomogram for Assessing the Risk of Depression in Diabetic Retinopathy: Integrating Visual Function, Metabolic Factors and Psychosocial Status. (Diabetes, metabolic syndrome and obesity : targets and therapy, 2026) —
How It Works
The proposed biological pathway:
- ▸Higher HbA1c (OR=1.716) indicates poor glycemic control, which may contribute to depression via metabolic and vascular pathways
- ▸Higher PSQI score (OR=1.306) reflects poor sleep quality, which is a known risk factor for depression
- ▸Lower SSRS score (OR=0.883) indicates reduced social support, increasing depression vulnerability
- ▸Higher VRQoL score (OR=1.138) suggests worse vision-related quality of life, leading to psychological distress and depression
Who Might Benefit
Evidence fit by population:
- ▸Patients with type 2 diabetic retinopathy (n=490, mean age not specified)
Recommended Dose
N/A
Limitations & Caveats
Important context when interpreting this evidence:
- ▸Cross-sectional design prevents causal inference
- ▸Single-center study with internal and temporal validation from the same center, limiting generalizability
- ▸No external validation from other centers or diverse populations
Frequently Asked Questions
What is the prevalence of depression in diabetic retinopathy patients?▼
The prevalence was 29.18% (143 out of 490 patients) in this study.
Which factors are most important for predicting depression in diabetic retinopathy?▼
The four independent predictors are HbA1c, sleep quality (PSQI), social support (SSRS), and vision-related quality of life (VRQoL). SHAP analysis identified VRQoL as the most influential predictor.
How accurate is the nomogram in predicting depression risk?▼
The nomogram showed excellent discrimination with AUCs of 0.918 in the training cohort, 0.867 in internal validation, and 0.875 in temporal validation.
Can this nomogram be used in clinical practice?▼
Yes, it is designed as an interpretable tool for early screening of high-risk DR patients, but external validation is needed before widespread use.
References
- 1.Tang M, Wang J, Yang Y, Cheng R, Jiang X, Zhu J. “Vision-Focused Nomogram for Assessing the Risk of Depression in Diabetic Retinopathy: Integrating Visual Function, Metabolic Factors and Psychosocial Status..” Diabetes, metabolic syndrome and obesity : targets and therapy, 2026. PMID: 42549345 DOI: 10.2147/DMSO.S610034