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Record W4408975176 · doi:10.1080/08037051.2025.2486284

Clinical characterization of blood pressure phenotypes: the BP phenotype score

2025· article· en· W4408975176 on OpenAlexaff
Maha A. Al‐Mohaissen, Maisa A. Al Zohaifi, Terry Lee, Nada Almalki, Hend Aleiban, Rabah Al-Mehisen

Bibliographic record

VenueBlood Pressure · 2025
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicinePhenotypeBlood pressureInternal medicineCardiologyGeneGenetics

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.031
GPT teacher head0.298
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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