Central blood pressures in early chronic kidney disease: an analysis of CARTaGENE
Bibliographic record
Abstract
BACKGROUND: Vascular stiffness and advanced chronic kidney disease (CKD) are strong determinants of higher central blood pressure (BP) and are associated with high cardiovascular morbidity and mortality. Whether mild-to-moderate CKD is associated with higher central BP independently of other comorbid conditions remains uncertain. METHODS: We evaluated the central hemodynamic profile [central systolic BP, central pulse pressure (PP), augmentation index, PP amplification, augmented pressure] of Stage 3 CKD patients and compared it with participants with estimated glomerular filtration rate (eGFR) >60 mL/min/1.73 m 2 in the CARTaGENE populational cohort through propensity score matching and multivariate regression analyses. RESULTS: Of the 20 004 participants, 13 114 had valid pulse wave analysis and eGFRs >30 mL/min/1.73 m 2 , of which 515 had Stage 3 CKD. These 515 patients had significantly higher peripheral systolic BP (127 ± 16 versus 125 ± 15 mmHg, P = 0.01) and central PP (43.0 ± 11.4 versus 39.7 ± 10.0 mmHg, P <0.001) than the control group (eGFR >60 mL/min/1.73 m 2 ). Propensity score matching allowed the creation of 500 pairs with similar clinical characteristics. In this matched cohort, central BPs were similar in Stage 3 CKD patients compared with controls (central PP 42.9 ± 11.3 versus 43.7 ± 11.3 mmHg, P = 0.3). Multivariate analysis using data from all patients also found that the higher central hemodynamic readings found in Stage 3 CKD patients disappeared after adjusting for comorbid conditions. In a subset of 609 participants in whom albuminuria levels were measured, urine albumin excretion was not independently associated with higher central hemodynamic indices. CONCLUSION: In this large cohort from the general population, early CKD and albuminuria was not independently associated with detrimental central hemodynamic parameters.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".