Blood Pressure Assessments in Different Subtypes of Hypertensive Pregnant Women: Office Versus Home Patient- or Nurse-Measured Blood Pressure
Bibliographic record
Abstract
OBJECTIVE: To explore the difference between distinct methods of assessing blood pressure (BP) in pregnant women with different hypertensive disorders. METHODS: We compared office BP to home patient- and nurse-measured diastolic BP in pregnant women with essential chronic hypertension (CH), preeclampsia (PE) and isolated hypertension (IOH). RESULTS: Office BP was lower or similar to home patient- and nurse-measured BP in women with CH. Office BP was higher than home patient-measured BP in women with PE and in women with IOH (p < 0.0001). Nurse-measured BP was higher than patient-measured BP in women with PE (p < 0.01). CONCLUSIONS: BP assessments in women with PE are significantly influenced by the environment, which should be considered in managing these women.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 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".