Elevated Transferrin Saturation, Health-Related Quality Of Life and Telomere Length
Bibliographic record
Abstract
Abstract Context Increased risk of heart disease, diabetes, dementia, cancer, and death has been found among individuals with elevated transferrin saturation (TS). Although TS has been linked to specific diseases, little research has focused on the relationship between elevated TS and current health status. Purpose This study examined the relationship between elevated TS and measures of health status (telomere length and patient-reported health-related quality of life) to assess whether elevated TS is associated with negative patient outcomes beyond increased risk for morbidity and mortality. Methods We conducted an analysis of the Hemochromatosis and Iron Overload Screening (HEIRS) Study supplemented with assays for leukocyte telomere length in adults (>25 years old). The HEIRS Study identified individuals through a multiethnic, multicenter sample of 101,168 US and Canadian adults. Screening was done with serum biochemical tests of iron status and hemochromatosis (HFE) gene mutation testing. Our sample was comprised of HEIRS subjects with responses on health-related quality of life (general health (GH) and mental health (MH) subscales of the SF-36 Health Survey), and known leukocyte telomere length (n=669). Leukocyte telomere length was assessed through a quantitative PCR-based technique (qPCR). Unadjusted mean values of the general health status subscale, the mental health status subscale and telomere length were compared between groups with elevated TS (>45% for women and >50% for men) versus non-elevated TS (<45% for women and <50% for men) using t-tests. Comparisons also were made between mean values for the general and mental health status subscales and telomere length for the group with TS >60% versus with non-elevated TS (<45% for women and <50% for men). For each of the quantitative outcomes of GH, MH, and telomere length, separate general linear regression models were formed with TS elevation as a dichotomous predictor, controlled for demographic characteristics as well as health conditions associated with iron overload. Results Among individuals with elevated TS (>45% for women and >50% for men), who also had a usual source of care, only 5.2% reported ever being told by a doctor that they had an elevated iron condition. Mean values for GH and MH, and telomere length were significantly lower in those with elevated TS (Table 1; p<0.01, p<0.001, and p<0.001, respectively), indicating worse general and mental health and shorter telomere length. In a fully adjusted model, elevated TS versus non-elevated TS was associated with worse general health status, mental health status and shorter telomere length. GH and MH status scores were progressively lower in individuals with increasing levels of TS (e.g., TS >60%) versus non-elevated TS. Conclusions Increased surveillance of elevated TS may be in order as elevated TS is associated with decreased health status and very few patients with elevated TS are aware of their condition. Disclosures: No relevant conflicts of interest to declare.
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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 | 0.002 |
| 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".