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Record W4318821528 · doi:10.30978/mg-2019-4-12

Ultrasound investigation of the brachial artery diameter as a non-invasive method for exposure of endothelial dysfunction in patients with ischemic heart disease and concomitant gastroesophageal reflux disease

2019· article· en· W4318821528 on OpenAlexaboutno aff
O. A. Oparin, A. S. Vnukova

Bibliographic record

VenueModern Gastroenterology · 2019
Typearticle
Languageen
FieldMedicine
TopicPeripheral Artery Disease Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineConcomitantBrachial arteryInternal medicineSupine positionCoronary artery diseaseCardiologyEndothelial dysfunctionReactive hyperemiaGERDRefluxDiseaseBlood pressureBlood flow

Abstract

fetched live from OpenAlex

Objective — to assess endothelial dysfunction in patients with ischemic heart disease (IHD) with concomitant gastroesophageal reflux disease (GERD) with the use of high-quality ultrasound imaging of the brachial artery.Materials and methods. The study involved 100 patients, who were divided into two groups. The first group included 60 patients (43 male (71.7 %), 17 female (28.3 %)) aged 42 to 60 years (the mean age 53.79 ± 3.9 years) with IHD and concomitant nonerosive form of GERD. Second group included 40 patients (28 (70 %) male, 12 (30 %) female) aged 39 to 60 years (the mean age 53.0 ± 4.6 years) with IHD without comorbidites. The control group consisted of 20 healthy participants with matching age (mean 47 ± 6.1 years old) and gender (7 (35 %) male, 13 (65 %) female). The IHD diagnosis was established according to ICD-10, Unified clinical protocol for primary, secondary and tertiary care «Stable ischemic heart disease», 2013 European Society of Cardiology guidelines on the management of stable coronary artery disease. The GERD diagnosis was made according to ICD-10 and The Montreal definition and classification of gastroesophageal reflux disease (2006). BP was measured by the Scipione Riva-Rocci/Korotkoff method using Microlife BP AG1 — 20 sphygmomanometer (Switzerland) after 10 minutes rest in sitting and supine positions to measure systolic BP. Measurements of endothelial dysfunction were conducted using reactive hyperemia test and nitroglycerine test. Brachial artery (BA) diameter measurement was conducted on Aloka-SSD-650 ultrasound scanner (Japan) using high-definition linear probe. All collected data were entered into the electronic database. Statistical processing was performed with variation and nonparametric biomedical statistics using Excel for Windows, Statistica 6.0 and SPSS Statistics statistical software. Statistical significance was determined using Student’s t-test and Wilcoxon signed-rank test. The difference in results was considered statistically significant with p-value < 0.05.Results. The obtained results showed a significant difference in BA diameter measurements between both groups of patients and control group. At the same time, the difference in BA diameter measurements between first and second study groups was not significant, while difference in BA diameter measurements between second study group and control group was significant. After conducting reactive hyperemia tests, the significantly decreased rate of BA diameter increase (p < 0.001) was noted in patients with IHD with concomitant GERD, both compared to control group and patients with IHD without comorbidities. After sublingual nitroglycerine, the significantly (p < 0.001) increased rate of BA diameter increase was defined in all study groups, evidencing the probe adequacy.Conclusions. The non-invasive high-quality ultrasound Doppler scan method to determine brachial artery dilatation during occlusion test can be used to evaluate degree of endothelial dysfunction both in people with cardiovascular diseases and people with other pathologies with underlying abnormal endothelial function.

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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.006
GPT teacher head0.219
Teacher spread0.213 · 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
Published2019
Admission routes1
Has abstractyes

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