Clinical characterization of blood pressure phenotypes: the BP phenotype score
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Evidence has linked blood pressure (BP) phenotypes with certain clinical, psychosocial, and occupational features, and characteristic BP variability. OBJECTIVE: We aimed to evaluate the value of a diagnostic score developed from these characteristics in predicting BP phenotypes, when used in a manner comparable to the application of out-of-office techniques. METHODS: Adult patients with no prior diagnosis of hypertension attending their office appointments, were prospectively enrolled. Their clinical, psychosocial, and occupational data were collected. 3-consecutive pre-appointment BP measurements, and BP variability with standing and the 6-minute walk test (6MWT) were obtained. All participants underwent 24-hour BP monitoring which was paired with office BP as the reference standard for BP phenotyping. Two scores were developed from the variables selected using linear regression analysis to differentiate between masked hypertension (MH) and normotension, and sustained hypertension (SH) and white coat hypertension (WCH). RESULTS: In total 212 participants completed the study. Among office-normotensives, a score of 7 (calculated from, variables (points): dyslipidemia (3), irritable bowel syndrome (IBS) (3), orthostatic increase in SBP >5 mmHg (1), SBP increase >10 after 6MWT (1), and BP ≥130/80 after 6MWT (3)) identified MH with 90% sensitivity, 86% specificity, 70% positive predictive value (PPV), and 96% negative predictive value (NPV). Conversely, among office-hypertensives, a score of 6 (male sex (2), no IBS (2), ≥3 metabolic syndrome criteria (3), obesity (3), standing BP ≥140/90 (3), BP ≥140/90 after 6MWT (1)) identified SH with 82% sensitivity, 78% specificity, 90% PPV, and 64% NPV. CONCLUSIONS: BP phenotypes correspond to distinct clinical phenotypes and can be predicted with acceptable sensitivity and specificity using BP phenotype scores. This novel approach to BP phenotyping provides an accessible addition, not a replacement, to available out-of-office techniques, particularly useful for screening for MH, and to support office diagnosis of SH when out-of-office measures are unavailable or not tolerated.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 it