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Record W3038565842 · doi:10.1097/hjh.0000000000002492

Heart failure and renal outcomes according to baseline and achieved blood pressure in patients with type 2 diabetes: results from EMPA-REG OUTCOME

2020· article· en· W3038565842 on OpenAlexaff
Michael Böhm, David Fitchett, Anne Pernille Ofstad, Martina Brueckmann, Stefan Kaspers, Jyothis T. George, Isabella Zwiener, Bernard Zinman, Christoph Wanner, Nikolaus Marx, Giuseppe Mancia, Stefan D. Anker, Felix Mahfoud

Bibliographic record

VenueJournal of Hypertension · 2020
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsMount Sinai HospitalUniversity of TorontoLunenfeld-Tanenbaum Research InstituteSt. Michael's Hospital
Fundersnot available
KeywordsEmpagliflozinMedicineHeart failureMaceInternal medicineBlood pressureCardiologyPlaceboType 2 diabetesDiabetes mellitusMyocardial infarctionEndocrinology

Abstract

fetched live from OpenAlex

BACKGROUND: The sodium-glucose co-transporter 2 (SGLT2) inhibitor empagliflozin reduced cardiovascular death or heart failure hospitalizations in type 2 diabetes (T2D) in addition to a reduction of SBP. As heart failure patients often present with low SBP, which can challenge treatment initiation, we explored if empagliflozin's effect on SBP was independent of baseline SBP and heart failure status, and if the effect on cardiovascular and heart failure outcomes was influenced by updated mean SBP or by an early change in SBP after drug initiation. METHODS AND RESULTS: A total of 7020 patients were treated with empagliflozin 10 mg, 25 mg or placebo and followed for a median of 3.1 years. All of them had BP measurement at baseline. We evaluated changes in SBP in the context of heart failure status at baseline and according to baseline SBP categories (<120, 120--<130, 130--<140, 140--<160, ≥160 mmHg). The updated mean SBP during the trial was calculated as a time-dependent variable. We then assessed the association of baseline and updated mean SBP with three-point major adverse cardiovascular events (3P-MACE), hospitalization for heart failure, cardiovascular death, hospitalization for heart failure or cardiovascular death, all-cause death, and incident/worsening nephropathy, and whether treatment effect of empagliflozin vs. placebo on these outcomes differed if adjusted for updated mean SBP. Finally, we evaluated the impact of early decline in SBP (≥5 mmHg at week 4) on the treatment effect of empagliflozin vs. placebo on these outcomes. Analyses were performed via Cox regression adjusting for baseline risk factors including a term for treatment subgroup interaction, and by landmark analyses starting at week 4. The difference in SBP reduction at week 12 between empagliflozin and placebo was 3--5 mmHg and similar regardless of baseline SBP category or HF status at baseline. Baseline SBP and updated mean SBP categories showed no association with cardiovascular outcomes, but was associated with new/worsening nephropathy. The treatment effects of empagliflozin on all explored outcomes were independent of updated mean SBP as well of the early drop in SBP on treatment. CONCLUSION: In addition to decreasing SBP, empagliflozin reduced cardiovascular, heart failure and renal outcomes independently of updated mean SBP during the trial, and of the early SBP drop. These results suggest a BP-independent effect of empagliflozin on cardiovascular and heart failure outcomes. CLINICALTRIALS. GOV IDENTIFIER: NCT01131676.

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)0.003
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 score0.003
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.021
GPT teacher head0.230
Teacher spread0.208 · 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".

Quick stats

Citations24
Published2020
Admission routes1
Has abstractyes

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