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EFFECT OF UNDERCUFFING ON AUSCULTATORY AND OSCILLOMETRIC BLOOD PRESSURE MEASUREMENT

2021· article· en· W3155289035 on OpenAlexaff
Nila Larisse Silva de Albuquerque, Raj Padwal, Thelma Leite de Araújo

Bibliographic record

VenueJournal of Hypertension · 2021
Typearticle
Languageen
FieldMedicine
TopicBody Composition Measurement Techniques
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineCuffSphygmomanometerAuscultationBlood pressureCircumferenceCardiologyInternal medicineSurgeryMathematics

Abstract

fetched live from OpenAlex

Abstract Objective: The objective of the present investigation was to identify the effect of using a blood pressure (BP) cuff size smaller than that appropriate for patient's arm circumference (undercuffing) on auscultatory and oscillometric measurements. Design and method: It was a single-centre equivalence trial that recruited 47 adult subjects with upper arm circumferences between 35 and 44 cm. After ten minutes rest, six sequential BP measurements were performed 30 and, at most, 60 seconds apart while seated. First, third and fifth measurements were performed using blinded, simultaneous, two-observer auscultation using a calibrated anaeroid sphygmomanometer and requiring a between-observer agreement equal to or less than 4 mmHg. Second, fourth and sixth were performed with the Omron HBP-1100 oscillometric monitor. The first two measurements (one auscultatory and one oscillometric) were performed using a large adult cuff (16 x 36 cm), which represented appropriate cuffing for the study subjects. Third, fourth, fifth and sixth measurements were performed with a standard adult cuff size (16 × 30 cm). BP differences were calculated using device – observer measurement. A paired t-test was used to identify statistically significant differences between BP readings in each method. Results: 282 complete measurements were available. Mean upper arm circumference size was 38.38 (±2.85) cm. Mean SBP and DBP when the appropriate cuff was used was 115.08 ± 18.32/70.25 ± 12.3 mmHg using the auscultatory method vs. 120.91 ± 17.15/72.57 ± 11.74 mmHg using the oscillometric method (p-value < 0.005). When smaller cuff size was used, mean SBP and DBP was 119.97 ± 15.88/76.78 ± 12.03 mmHg in the auscultatory method vs. 126.95 ± 16.17/74.56 ± 10.97 mmHg in the oscillometric method (p-value < 0.005). The mean device-observer disagreement for SBP (Fig 1) was 5.82 (±9.12) when appropriate cuff size was used and 6.98 (±8.06) with a smaller cuff size (p-value = 0.79). For DBP (Fig 2), the disagreement was 2.31 (±6.28) vs. -2.22 (±5.88) (p-value < 0.005). Conclusions: Using a smaller cuff size overestimates SBP and DBP, in both auscultatory and oscillometric methods and also results in a greater systolic disagreement between these two measurement methods.

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)0.009
metaresearch head score (Gemma)0.043
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.043
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.041
GPT teacher head0.268
Teacher spread0.227 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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