Low Level of 25(OH)D Aggravates Target Organ Damage of Elderly Type 2 Diabetes
Bibliographic record
Abstract
BACKGROUND: It is unclear about the association between vitamin D level and target organ damage in elderly patients with type 2 diabetes in China. Aim of this study was to investigate the relationship between vitamin D level and target organ damage in elderly patients with type 2 diabetes of Chinese population. METHODS: A retrospective study was performed on 254 elderly patients with type 2 diabetes (148 males and 106 females). According to assay of 25-hydroxy vitamin D [25(OH)D], the participants were divided into a deficiency group (n=129), an insufficiency group (n=77) and a sufficiency group (n=48). The clinical indicators of target organ damages among these groups were analyzed, and multivariate logistic regression analysis was performed to predict the target organ damage. RESULTS: Approximately 81.1% of patients were the low level of 25(OH)D with mean 25(OH)D below 30ng/ml. When compared with those in the sufficiency group, the level of left ventricular absolute mass index (LVMI), the morning urine albumin/uric creatinine ratio (ACR) and carotid intimal medial thickness (cIMT) increased significantly and creatinine clearance rate (CcR) decreased significantly in the deficiency group (P<0.05). The level of ACR and cIMT in the insufficiency group also increased significantly (P<0.05). There was a higher proportion in kidney, brain, artery and total target organ damage in the deficiency group or insufficiency group than those in the sufficiency group (P<0.05). Logistic regression analysis showed that low-level 25(OH)D (< 30ng/ml) was independently associated with total target organ damage in patients with elderly type 2 diabetes (OR = 3.58; 95%CI: 1.60-8.02,P =0.002) CONCLUSIONS: A condition of hypovitaminosis D is commonly present in Chinese patients with elderly type 2 diabetes. The low level of 25(OH)D may contribute to aggravate target organ damage of elderly type 2 diabetes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".