Associations of microvascular dysfunction with cardiovascular outcomes: The cardiac, endothelial function and arterial stiffness in ESRD (CERES) cohort
Bibliographic record
Abstract
INTRODUCTION: Patients with end-stage renal disease (ESRD) have reduced endothelial function, but whether macro- and microvascular endothelial function correlate with baseline risk factors and cardiovascular outcomes in this population is not well understood. METHODS: Among 146 participants of the Cardiac, Endothelial Function and Arterial Stiffness in ESRD (CERES) study, we evaluated macro- and microvascular endothelial dysfunction as flow-mediated dilation (FMD) and velocity time integral (VTI), respectively. We examined cross-sectional correlations of baseline characteristics, inflammatory and cardiac markers with FMD and VTI. We followed participants for the composite outcome of cardiovascular hospitalization or all-cause death over fourteen months. Cox survival analyses were adjusted for demographics, comorbidities, medications, systolic blood pressure, inflammation, high-sensitivity troponin T (hs-TnT), and N-terminal pro B-type natriuretic peptide (NT-proBNP). FINDINGS: Impaired VTI was associated with older age and Black race (P < 0.05), as well as female gender, atherosclerosis, and hemodialysis (as opposed to peritoneal dialysis) (P < 0.2). Myocardial injury, measured as hs-TnT, inflammatory markers and NT-proBNP correlated with impaired VTI. In unadjusted analyses, VTI was significantly associated with the composite outcome (HR per SD VTI 0.65 [95%CI 0.45, 0.95]), but FMD was not (HR per SD FMD 0.97 [95%CI 0.69, 1.4]). When VTI was calculated as the ratio of (hyperemic VTI-baseline VTI)/baseline VTI, its association with the outcome persisted after multivariable adjustment. DISCUSSION: Microvascular function was associated with higher rates of cardiovascular hospitalizations and all-cause mortality among individuals with ESRD on dialysis. Further research is needed to learn whether novel therapies that target microvascular endothelial function could improve outcomes in this high-risk population.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".