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Short term effect of sodium glucose cotransporter 2 inhibitors and sacubitril/valsartan on comprehensive geriatric assessment and oxidative stress in elderly with chronic heart failure (from MAGIC-HF)

2023· article· en· W4388599898 on OpenAlexaboutno aff
Giuseppe Armentaro, Marcello Magurno, Velia Cassano, Carlo Alberto Pastura, Elvira Clausi, Vittoria Monaco, Maria Rosangela Scarcelli, Valentino Condoleo, Sofia Miceli, Raffaele Maio, Franco Arturi, Maria Perticone, Giorgio Sesti, Angela Sciacqua

Bibliographic record

VenueEuropean Heart Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHeart failureInternal medicineMontreal Cognitive AssessmentEjection fractionGeriatric Depression ScaleCardiologyTolerabilityPopulationValsartanDiabetes mellitusCognitive declineEndocrinologyDementiaBlood pressureDiseaseAdverse effect

Abstract

fetched live from OpenAlex

Abstract Background Sodium Glucose Cotransporter 2 inhibitors (SGLT2i) and Sacubitril/Valsartan (Sac/Val) have improved clinical prognosis in patients affected by heart failure (HF) with reduced ejection fraction (HFrEF). Cognitive impairment, depression, and poor physical functional performance are a very common comorbidity in patients with HF and result in a worse prognosis. Purpose The aim of this study was to evaluate the potential effects of SGLT2i on functional, humoral, and cognitive aspects, assessed by performing a comprehensive geriatric assessment (CGA), and on oxidative stress and platelets activation biomarkers, in a cohort of HFrEF elderly, and any differences between men and women. Methods We enrolled 91 HFrEF patients (63 men and 28 women, mean age 73.7±4.7 years) in the "MAgna GraecIa evaluation of Comorbidities in patients with Heart Failure STUDY (MAGIC-HF STUDY). Men and women differed for use of glucagon-like-peptide 1 receptor agonists, antiplatelet drugs, and circulating levels of NADPH Oxidase 2 (Nox-2). SGLT2i therapy was introduced in patients already treated with Sac/Val for at least 12 months who were taking an average dose of 273.6±102.0 mg/die. Results After 3 months follow-up, we observed a significant improvement in cognitive, humoral and functional parameters of CGA, NTpro-BNP levels and echocardiographic parameters. Changes (Δ) in Montreal Cognitive Assessment (MoCA) (p=0.015) and Cardiac Index (CI) which were greater in men (p<0.0001) and Geriatric Depression Scale (GDS) which were greater in women (p=0.029). In the whole population, multivariate analysis shows that Δ of CI, Homeostatic model assessment (HOMA), Sp-Selectina, Nox-2 and 8-Isoprostane contributed for 19.7% (p<0.0001), 9.4% (p=0.001), 6.4% (p=0.002), 3.8% (p=0.013) and 2.9% (p=0.024) to Mini mental state examination (MMSE) variability, respectively, and the whole model accounted for a 42.2% of MMSE variation; moreover Δ of HOMA, Sp-Selectina and highly sensitive c-reactive protein (hs-CRP) contributed for 21.6% (p<0.0001), 5.7% (p=0.002) and 4.0% (p=0.014) to MoCA variability, respectively, and the whole model accounted for a 33.3% of MoCA variation. In addition, Δ of Sp-Selectina, Nox-2, CI and HOMA globally contributed for 37.5% of GDS variation (p<0.05); and Δ of HOMA and Sp-Selectina contributed for 30.9% of Short performance physical battery variation (p<0.0001). Conclusions This represents the first real-world study carried out in an elderly population suffering from chronic HFrEF with several comorbidities, in which the addition of SGLT2i, in patients already treated with the best medical therapy including Sac/Val, after three months induced important improvements in clinical, humoral, hemodynamic, functional outcomes and cognitive performance. This study shows that echocardiographic and cognitive improvements are greater in men than in women, instead metabolic and humoral improvements are greater in women.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0000.000

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 head0.014
GPT teacher head0.280
Teacher spread0.265 · 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 designNon-randomized trial
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
Published2023
Admission routes1
Has abstractyes

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