Elevated Transferrin Saturation, Health-Related Quality Of Life and Telomere Length
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».