Study of Cardiac Features in Adults with Down Syndrome
Bibliographic record
Abstract
Down Syndrome (DS) has a significant impact on the development of many tissues, most notably in the heart and in the brain. According to the clinical need to better investigate these aspects, the main aim of this study was to make an overview on the cardiac features in adult individuals with DS. The following data of 37 individuals with DS (range: 18-60 years) were collected and analysed: age, gender, height, weight, waist to height ratio (WHER), smoking history and cardiac parameters (heart rate and blood pressure), blood glucose level or glycaemia, cholesterol (total, high-density lipoprotein – HDL - and low-density lipoprotein - LDL - cholesterol) and triglycerides. In addition, their gait pattern were quantified with 3D Gait Analysis. BMI, WHER and cholesterol HDL results were above the upper limits of the recommended range in people with DS; on the contrary, blood pressure, heart rate, glycaemia, cholesterol-LDL and triglycerides were within the recommended range. Comparing males and females in the DS group, the females showed statistically different values for cholesterol-total, and triglycerides values, with lower values in comparison to males. In motor performance, people with DS presented abnormal gait patterns. Some significant correlations were found: age with LDL, WHER with weight and BMI, systolic with diastolic blood pressure, total cholesterol with LDL and triglycerides. Our results showed that adults with DS suffer from a high prevalence of physical disorders, including overweight and obesity, and abnormal cholesterol values, together with abnormal gait pattern.
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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".