Sex hormone-binding globulin and heart failure hospitalizations in patients with dysglycemia - Experiences from the Outcome Reduction with an Initial Glargine Intervention (ORIGIN) trial
Bibliographic record
Abstract
Abstract Background Sex hormone-binding globulin (SHBG), which binds most of the circulating testosterone in blood, is linked to both dysglycemia and a variety of cardiovascular (CV) events. However, few studies have investigated the link between SHBG and heart failure. Purpose To investigate the relationship between SHBG levels and heart failure hospitalizations in men and women with dysglycemia. Methods The Outcome Reduction with an Initial Glargine Intervention (ORIGIN) trial followed individuals with dysglycemia (impaired fasting glucose, impaired glucose tolerance or diabetes) and high cardiovascular risk for a median of 6.2 years. Incident CV events, including heart failure hospitalizations (defined as heart failure requiring overnight stay at hospital or attendance in an acute care setting) were collected and adjudicated. A subset of patients (n = 8,494) in whom blood samples were stored had SHBG levels analysed. Cox regression was used to estimate hazard ratios (HRs) of heart failure hospitalizations per standard deviation increase of SHBG. Adjustments were made for age, comorbidities, biochemical data (including testosterone) and pharmacological treatment. Analyses were performed separately in men and women. Results A total of 5,553 men and 2,848 women were included in whom heart failure hospitalizations were reported in 349 men and 123 women. Median SHBG levels were 35 nmol/L (25-47) in men and 39 nmol/L (27-55) in women. The primary outcome was more frequent in men with SHBG levels above median (n = 208/349 [59.6 %]; p<0.01) whilst no difference was seen for women (n = 69/123 [56.1%]; p = 0.24). A higher SHBG was associated with increased risk of heart failure hospitalizations in men (adjusted HR 1.15, 95% CI 1.03-1.28; p = 0.011) but not in women (adjusted HR 1.13; 95% CI 0.96-1.39; p = 0.14). Conclusions In this biomarker substudy within the ORIGIN trial comprising patients with dysglycemia and at high CV risk, increasing levels of SHBG were associated with heart failure hospitalizations independent of testosterone levels in men but not in women.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".