MétaCan
Menu
Back to cohort

CUFF-BASED AND INTRAARTERIAL BRACHIAL BLOOD PRESSURE MISMATCH AND ITS POTENTIAL IMPACT ON ANTIHYPERTENSIVE TREATMENT AND ESTIMATION OF AORTIC BLOOD PRESSURE

2021· article· en· W3156833171 on OpenAlexaff
Rémi Goupil, Cédric Kowalski, Katie Yang, Thierry Charron, Michel Doucet, Raja Hatem, Rémi Kouz, Donald Palisaitis, Érick Schampaert, Paul Terriault, Pierre Tessier, Mohsen Agharazii

Bibliographic record

VenueJournal of Hypertension · 2021
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsUniversité LavalUniversité de MontréalHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsMedicineCuffBrachial arteryBlood pressureCardiologyInternal medicineDiastoleSurgery

Abstract

fetched live from OpenAlex

Objective: Cuff-based brachial blood pressure (BP) is universally used as a guide to treat hypertension, although it can differ from the intraarterial BP. In this study, we examine the potential impact of cuff-to-intraarterial brachial systolic BP (bSBP) mismatch phenotypes on BP treatment and its impact on determination of central BP. Design and method: In 379 hypertensive subjects undergoing cardiac catheterization through the radial artery, non-invasive brachial cuff and central BPs were measured using the Mobil-o-Graph device simultaneously to intraarterial brachial and aortic BP. According to the difference between cuff-based bSBP (CUFF-bSBP) and intraarterial bSBP (IA-bSBP), we identified three phenotypes: Underestimation Mismatch group (CUFF-bSBP < IA-bSBP by more than 10 mmHg); No Mismatch group (CUFF-bSBP within 10 mmHg of IA-bSBP); Overestimation Mismatch group (CUFF-bSBP > IA-bSBP by more than 10 mmHg). Influence on ACC/AHA BP categories was evaluated and accuracy was determined following ARTERY society recommendations (mean difference <=5 ± 8 mmHg). Results: The Underestimation (n = 190), No Mismatch (n = 155) and Overestimation (n = 34) groups, despite overall similar clinical characteristics, showed only minor differences in CUFF-bSBP (127 ± 17, 123 ± 15, 126 ± 19 mmHg) despite highly different IA-bSBP (147 ± 18, 126 ± 16 vs 108 ± 18 mmHg, p < 0.001) and aortic SBP (136 ± 20, 122 ± 16, 109 ± 18 mmHg, p < 0.001). ACC/AHA BP categories were concordant in 33%, 68% and 44% of the Underestimation, No Mismatch and Overestimation groups. The Underestimation Mismatch group had 64% of individuals at risk of undertreatment compared to 16% in the No Mismatch Group, while in the Overestimation Mismatch Group 50% were at risk of overtreatment compared to 17% in the No Mismatch group. Cuff bSBP accurately estimated the aortic SBP only in the No Mismatch Group (mean difference 1.7 ± 8.2 mmHg) whereas central BP with the Mobil-o-Graph device did not reach the strict ARTERY criteria for accuracy in any groups. Conclusions: Our study shows that the brachial cuff underestimates and overestimates intraarterial brachial BP in a significant proportion of hypertensive subjects, potentially leading to an increased risk of BP mismanagement, and inaccurate non-invasive estimation of central BPs. This underlines the importance of improving the accuracy of cuff-based brachial and central BP monitors, ideally taking into consideration invasive BP phenotypes.

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)0.002
metaresearch head score (Gemma)0.009
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 score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.020
GPT teacher head0.265
Teacher spread0.246 · 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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of HypertensionSame topicBlood Pressure and Hypertension StudiesFrench-language works237,207