Serum biochemical profile in patients with decompensated heart failure with preserved ejection fraction depending on obesity
Bibliographic record
Abstract
Aim . To analyze a complex of cardiac markers, adipocytokines, heat shock proteins (HSPs) and extracellular matrix remodeling biomarkers in patients with acute decompensated heart failure with preserved ejection fraction (ADHFpEF) depending on the presence and degree of obesity. Material and methods . A total of 151 patients with ADHFpEF aged 47-95 years were divided into 2 following groups: main group — 85 patients with ADHFpEF and obesity (body mass index ≥30 kg/m 2 ); comparison group — 66 patients with ADHFpEF without obesity (body mass index <30 kg/m 2 ) as the comparison group. The level of biochemical blood parameters was determined using routine biochemical methods on BS800M1 (Mindray, China) and Maglumi 2000 (Snibe, China) systems, as well as by the enzyme immunoassay using a Multiskan FC photometer (Thermo, USA) and reagent kits from Vector-Best (Russia), Ray-Biotech (USA), Cloud-Clone (China), DBC (Canada) and Biovendor (Czech Republic). Results. In patients with ADHFpEF and obesity, significantly highermedian leptin levels and leptin/adiponectin ratio were found than in patients with ADHFpEF without obesity, while adiponectin and HSP70 levels in obesity were significantly lower. The median [Q25-Q75] HSP27 concentration in morbid obesity was 4,7 [1,2-24,2] ng/ml and was statistically significantly higher than in patients with class I and II obesity — 1,3 [0,3-2,7] and 0,6 [0,3-1,3] ng/ml, respectively. In patients with ADHFpEF with epicardial fat thickness ≥5 mm, not only higher leptin concentration and leptin/adiponectin ratio were found, but also increased blood myoglobin levels. Conclusion. We revealed a number of obesity-related serum biochemical features in patients with ADHFpEF, including differences in the main adipocytokine complex parameters, as well as cellular stress biomarkers — HSP27 and HSP70. This may indicate the involvement of obesity in heart failure pathogenesis and the pathophysiological processes in heart failure decompensation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".