Evidence map›Paper›PMID 41141853›Full record

ArticleFrontiers in physiology2025

Predictors of lower-limb arterial occlusion pressure across commonly used cuff widths.

Isaac J Wedig, Isaac M Lennox, Erich J Petushek, John J Durocher, John McDaniel, Steven J Elmer

Abstract read
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Article in Frontiers in physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Isaac J WedigSchool of Health and Human Performance, Northern Michigan University, Marquette, MI, United States.
Isaac M LennoxDepartment of Kinesiology and Integrative Physiology, Michigan Technological University, Houghton, MI, United States.
Erich J PetushekHealth Research Institute, Michigan Technological University, Houghton, MI, United States.
John J DurocherDepartment of Biological Sciences and Integrative Physiology and Health Sciences Center, Purdue University Northwest, Hammond, IN, United States.
John McDanielDepartment of Exercise Physiology, Kent State University, Kent, OH, United States.
Steven J ElmerDepartment of Biological Sciences and Integrative Physiology and Health Sciences Center, Purdue University Northwest, Hammond, IN, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We compared predictors of lower-limb arterial occlusion pressure (AOP) across commonly used blood flow restriction (BFR) cuff widths (11, 13, 18 cm) and developed prediction equations to estimate AOP for each cuff. Participants (n = 116) underwent measurements of thigh circumference (TC), systolic (SBP) and diastolic (DBP) blood pressure, and AOP was assessed using Doppler ultrasound in a seated position. Multiple linear regression models with commonality analysis and mixed-effects models were used to identify and compare predictors of AOP between each cuff. LASSO regression with bootstrap resampling was used to develop and internally validate prediction equations. TC, SBP, DBP, age, and sex explained 60%-70% of total variance in AOP, with greater predictive power in narrower cuffs. As cuff width increased, TC uniquely accounted for less (36%, 26%, 11% for 11, 13, 18 cm, respectively) and SBP uniquely accounted for more (2%, 6%, 12% for 11, 13, 18 cm, respectively) variance. A cuff width × TC interaction indicated that limb size had greater influence on AOP with narrower cuffs. In contrast, the relationship between SBP and AOP remained stable across cuff widths. Prediction equations demonstrated good predictability and calibration, with limits of agreement ranging from ±18.4 to ±28.6 mmHg and statistical equivalence between predicted and measured AOP. Internal validation showed minimal overfitting. These findings highlight the importance of accounting for cuff width in BFR pressure prescription, with narrower cuffs requiring consideration primarily of TC, and wider cuffs requiring consideration of both TC and SBP. These cuff-specific equations may offer a practical alternative to direct AOP measurement.

Indexed as

blood flow restrictionkaatsulimb occlussion pressuresystolic blood pressurevascular occlusion

Identifiers

PMID41141853
PMCPMC12549662

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.