Sex differences in the association between albuminuria and vascular health in individuals living with chronic kidney disease
Bibliographic record
Abstract
Cardiovascular disease is the leading cause of death in chronic kidney disease (CKD). Albuminuria, a marker of CKD severity, is independently associated with cardiovascular disease, however limited studies explore the impact of sex. We aimed to explore sex differences in the association between albuminuria and vascular health in individuals living with CKD. Albuminuria was quantified through urine albumin-to-creatinine ratio (uACR) and measures of vascular health included Aortic Augmentation Index (AIx), Pulse Wave Velocity (PWV) and Mean Arterial Pressure (MAP). Multivariable linear regression analyses estimated the association between uACR and each outcome, and sex was assessed as an effect modifier. Adults living with CKD were recruited from nephrology clinics in Calgary, Canada and 66 participants (39 female, 27 male) were included in this study. A higher eGFR (89[56] versus 58[50] ml/min/1.73m2) and lower uACR (32[405] versus 386[933] mg/g) were observed in females. Sex modified the relationship between uACR and AIx; with a positive association in females ( =0.02; p<0.01), and no relationship in males ( =-0.004; p=0.16). Positive relationships between uACR and both PWV and MAP were observed, though sex did not modify either relationship. Further research to elucidate the mechanisms underpinning these sex differences are necessary to optimize and personalize cardiovascular risk reduction strategies in CKD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".