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Record W7142723770 · doi:10.21802/artm.2021.3.19.43

THE ROLE OF NEUROHORMONAL FACTORS - GALECTIN-3 AND ALDOSTERONE IN THE FORMATION OF THE CLINICAL PROFILE OF THE PATIENT AND THE INFLUENCE ON THE STRUCTURAL REMODELING OF THE HEART AND VESSELS IN PATIENTS WITH HYPERTONIC DISEASE

2021· article· W7142723770 on OpenAlexaboutno aff
N. Y. Osovska, T. P. Onyshchuk, O. V. Iuzvyshyna, N. V. Shchepina, O. L. Baranova, Y. V. Savitska

Bibliographic record

VenueArt of Medicine · 2021
Typearticle
Language
FieldImmunology and Microbiology
TopicGalectins and Cancer Biology
Canadian institutionsnot available
Fundersnot available
KeywordsAldosteroneHeart failureHemodynamicsCirculatory systemRenin–angiotensin systemMineralocorticoid

Abstract

fetched live from OpenAlex

The article is devoted to the study of the urgent problem of modern cardiology with regard to improving the prediction of the course of Essential arterial hypertension (AH), stage II, in patients of young and middle age based on the study of the role of age-related and neurohumoral factors - galectin-3 and aldosterone in the formation of the clinical profile and structural remodeling of the heart and vessels. The study was conducted according to the protocol of the current clinical and performed at the Department of Therapeutic Disciplines and Family Medicine of the Faculty of Postgraduate Education, Vinnytsya National Pirogov Memorial Medical University. The material was collected on the basis of the Khmelnytsky Regional Cardiovascular Center of the Khmelnytsky Regional Council in the period from January 2016 to April 2017. Patients with hypertension, who participated in the study, were divided into 4 groups depending on age: groups of young and middle age. The group of young patients included men and women (40 people), aged 18 to 44 years. The middle-aged groups included men and women (40 people), aged 45 to 60 years. The total number of the examined patients which we surveyed and were included in the study was 160 persons. The control group included 27 relatively healthy persons (male and female). The average age and the percentage of young and middle-aged patients did not differ significantly. Verification of the diagnosis of hypertension was carried out on the basis of the existing criteria and recommendations. In the course of study, all the patients have undergone laboratory tests (determination of the level of galectin-3 and aldosterone, glucose, creatinine, electrolytes (Na 2+, K +), total cholesterol, triglycerides, high, low and ultra-low density lipoprotein cholesterol), instrumental tests (electrocardiography (ECG ) in 12 leads, 24-hour ambulatory blood pressure monitoring (ABPM), echocardiographic (Echo CG) in M, B-, D modes, the structural state of the carotid arteries (CA) based on the assessment of the thickness of the intima-media (TIM) and statistical studies. Aldosterone level was determined by the enzyme-linked immunosorbent assay ELISA using reagents of IBL International GmbH (Canada). Aldosterone level of 40-160 pg/ml was considered as the reference values. The level of galectin-3 in serum was determined by the solid-phase enzyme linked immunosorbent assay using a set of reagents of Human Galectin-3 Platinum Elisa (Bender MedSystems GmbH, Austria). Scores reflect the prognostic value of indicators. The most valuable for predicting relatively high levels of galectin-3 are obesity, carotid artery Intima Media > 0.91 mm and left atrial volume index > 34 ml/m2 (echocardiography), while aldosterone is obesity, the presence of a non-dipper profile according to аverage blood pressure (24 hour blood pressure monitoring) > 32 ml/m2 (еchocardiography) and nightly average heart rate > 62 (24 hour blood pressure monitoring). When determining the IV level of galectin-3 and/or aldosterone, a more severe course of hypertension should be envisaged, and the patient should be referred to the group of high risk of complications from the heart and blood vessels and, possibly, an earlier indication of mineralocorticoids should be considered.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.233
Teacher spread0.223 · 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 teacher head, not a consensus.

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

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