Awareness of Hypertension in Reproductive-Aged Women Living With Chronic Kidney Disease
Bibliographic record
Abstract
Background: Hypertension is the most important modifiable cardiovascular risk factor among women. Chronic kidney disease (CKD), which affects 1 in 10 reproductive-aged women, increases the risk of hypertension; however, awareness of hypertension in this population is unknown. This study aimed to determine hypertension awareness among reproductive-aged women living with chronic kidney disease. Methods: Women aged 18 to 50 years with CKD were recruited from nephrology clinics in Calgary, Alberta, Canada. Participants completed a semistructured interview and focused chart review, serum and urine laboratory assessment, and a physical examination that included anthropomorphic measurements and 2 automated office blood pressure readings. Hypertension was defined according to the use of ≥ 1 antihypertensive medications and/or an automated office blood pressure reading of ≥ 135/85 mm Hg. Data were stratified by hypertension status, as well as by awareness, and descriptively presented as mean ± standard deviation, numerical values, and percentages. Results: Sixty-three participants with CKD were included. Thirty-eight (60%) participants had hypertension according to study definitions. Of those with hypertension, 30 participants (79%) were aware of their hypertension status. Conclusions: Hypertension awareness is relatively high in reproductive-aged women living with CKD. However, hypertension awareness is the critical component for hypertension management, and further work is necessary to optimize reduction of cardiovascular risk in this important population.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".