The Mechanisms of Inflammatory Factors and the Total Load of Cerebral Small Vessel Disease in Diabetic Retinopathy and Cognitive Impairment
Bibliographic record
Abstract
INTRODUCTION: The purpose of this study was to explore the roles and methods of inflammatory factors and total load of cerebral small vessel disease (CSVD) in diabetic retinopathy (DR) and cognitive impairment. MATERIALS AND METHODS: In total, 1860 patients with type 2 diabetes mellitus (T2DM) were divided into a DR group and a non-diabetic retinopathy (NDR) group, and nonproliferative DR was divided into mild and moderate-to-severe according to the severity. The patients' baseline data were recorded, and imaging indicators were collected to evaluate CSVD. Monofactor analysis was performed to identify the risk factors associated with DR and cognitive impairment, and a logistic regression model was used to determine independent risk factors. Finally, Nomogram and receiver operating characteristic (ROC) curves were constructed to evaluate the prediction effect of the model. RESULTS: (1) 693 patients (37.26%) had DR and 1167 patients (62.74%) had no DR. In the DR group, hypertension, disease course, low-density lipoprotein cholesterol (LDL-C), uric acid (UA), glycosylated hemoglobin (HbA1c), triglyceride glucose index (TyG), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) were all significantly higher than in the NDR group (p < 0.001). Multivariate logistic regression analysis further verified that hypertension, LDL-C, PLR, and SII were independent risk factors for DR. (2) Among 612 patients with nonproliferative DR, the levels of hypertension, UA, HbA1c, TyG index, interleukin-6 (IL-6), monocyte-to-lymphocyte ratio (MLR), and SII in the moderate-to-severe nonproliferative DR group were significantly higher than those in the mild nonproliferative DR group (p < 0.01). (3) Patients with moderate-to-severe nonproliferative DR were divided into a cognitive impairment group and a non-cognitive impairment group. Smoking history, drinking history, fasting blood glucose, HbA1c, TyG index, PLR, MLR, SII, total CSVD magnetic resonance imaging (MRI) load, and white matter hyperintensities (WMHs) were significantly associated with cognitive impairment (p < 0.01). Smoking history, fasting blood glucose, HbA1c, TyG index, SII, total CSVD load, and lacunar infarction (LI) were independent risk factors for cognitive impairment in patients with moderate-to-severe DR. In addition, total MRI load (r = 0.711, p < 0.05), TyG index (r = 0.712, p < 0.05), SII (r = 0.703, p < 0.05), and PLR (r = 0.724, p < 0.05) were significantly negatively correlated with Montreal Cognitive Assessment (MoCA) score. CONCLUSIONS: This study identified hypertension history, LDL-C, PLR, and SII as factors independently associated with the presence of DR in patients with T2DM. In addition, UA, TyG, SII, total CSVD load, and WMHs were significantly associated with more severe stages of DR.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".