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Application of enhanced external counterpulsation in treating patients with stable ischemic heart disease

2021· article· en· W4200298951 on OpenAlexaboutno aff
K. S. Karaganov, А. С. Лишута, Yu. N. Belenkov

Bibliographic record

VenueEuropean Heart Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicPain Management and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCardiologyInternal medicineCoronary artery diseaseEjection fractionCanadian Cardiovascular SocietyAnginaVentricleBlood pressureHeart failureMyocardial infarction

Abstract

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Abstract Introduction Currently, enhanced external counterpulsation (EECP) is one of the safest non-invasive treatments for patients with coronary artery disease (CAD). In combination with traditional drug therapy, EECP can significantly improve the quality of life of patients by increasing coronary perfusion, improving myocardial contractile function, and improving endothelial function. Aim To study the effect of EECP on clinical status, quality of life (QL) and structural-functional state of blood vessels in patients with stable coronary artery disease. Materials and methods In the present study 67 CAD patients were included (average age 65.7±5.66 years; men 71.9%, angina pectoris of functional class II-III (FC)). All patients were on optimal medical therapy (ACE inhibitors, beta-blockers, antiplatelet agents, statins, nitrates), which remained unchanged during the follow-up. Patients were given a course of EECP (35 procedures 220–280 mmHg.art.). Test 6-minute walk (T6MW), QL (Minnesota Satisfaction Questionnaire (MSQ)), echocardiography (ejection fraction of the left ventricle (LVEF)) were performed at baseline and after 6 months. In addition, all the patients underwent laser photoplethysmography (Stiffness index (SI, m/s), phase shift (PS m/s) occlusion index (OI), nail fold videocapillaroscopy (capillary density at rest, after reactive hyperemia and venous occlusion (CDr, CDrh, CDvo, respectively, cap/mm2) and applanation tonometry (central aortic systolic pressure (CASP), (radial augmentation index (RAI)) in order to assess structural and functional characteristics of blood vessels. Results In six months after EECP, significant improvement in patient's condition was found. T6MW distance (212±32 vs 251±29 m, p<0.05), QL MSQ (20.1±6.2 vs 41,6±7,1, p<0.05) and LVEF (40.9±7,6% vs 45.2±10.1%, p<0.05) increased significantly. Stiffness of large vessels was found to be decreased. CASP, RAI and SI decreased significantly, (CASP: 131±15.8 vs 129±14.8 mmHg, p<0.05), (RAI: 97.2±25.1 vs 97±21.6%, p<0.05), (SI: 8.9±1.5 vs 8.8±,1.6 m/s, p<0.05), Functional characteristics of large blood vessels significantly improved (PS (5.6±1.2 vs 6.8±1.4 m/s, p<0.05). Microcirculation - Reflection index (106.7 vs 95.3%, p<0.05) and OI (1.5±0.3 vs 1.66±0.26, p<0.05) for all. Increase CDrest (44±12.2–44.6±11.5 capillaries, p>0.05), in samples with CDrh (45±14 vs 57±16 capillaries, p<0.05) and CDvo (55±15–56 vs 4±14.2 capillaries, p<0.05). Conclusion ECCP treatment of patients with stable CAD, in addition to optimal drug therapy, led to an increase in load tolerance and improvement of the QL, myocardial contractile function, accompanied by improvement of the structural and functional state of large vessels and microcirculatory bed. Funding Acknowledgement Type of funding sources: None.

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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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.012
GPT teacher head0.263
Teacher spread0.252 · 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 designNot applicable
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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