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Impact of changes in weight and haematocrit on the reduction in systolic office and ambulatory blood pressure with empagliflozin in patients with type 2 diabetes

2021· article· en· W3217154890 on OpenAlexaff
Abhinav Sharma, Christoph Wanner, Anne Pernille Ofstad, Michaela Mattheus, Bettina J. Kraus, Bernard Zinman, João Pedro Ferreira

Bibliographic record

VenueEuropean Heart Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsUniversity of TorontoMount Sinai HospitalLunenfeld-Tanenbaum Research InstituteMcGill University Health Centre
FundersEli Lilly and Company
KeywordsEmpagliflozinEMPAMedicineBlood pressureDiabetes mellitusAmbulatory blood pressureType 2 diabetesInternal medicineAmbulatoryType 2 Diabetes MellitusCardiologyEndocrinology

Abstract

fetched live from OpenAlex

Abstract Background There is uncertainty on how empagliflozin (EMPA) reduces blood pressure (BP), and in particular the potential role for changes in weight and haematocrit in mediating these effects. Purpose To assess the contributions of changes in weight and haematocrit on EMPA induced changes in BP in patients with type 2 diabetes mellitus (T2DM) in the EMPA-BP and EMPA-REG OUTCOME trials. Methods Patients received placebo (PBO), EMPA 10 mg or EMPA 25 mg. In EMPA-BP (12-week study), 823 patients with T2DM and hypertension (mean [SD] age 60.2 [9.0] years, HbA1c 7.90 [0.74] %, BMI 32.6 [5.1] kg/m2) were studied. In EMPA-REG OUTCOME, of the 7,020 treated patients with T2DM and cardiovascular disease (mean [SD] age 63.1 [8.6] years, HbA1c 8.07 [0.85] %, BMI 30.6 [5.3] kg/m2), 95.0% were on anti-hypertensive treatment at baseline. ANCOVA/MMRM models were applied to assess changes in systolic BP (SBP) at week 12 associated with, and independent of, changes in weight and haematocrit (Hct). SBP measurements are based on mean 24-h measurements from an ambulatory blood pressure monitoring (ABPM) device in EMPA-BP and seated office measurements in EMPA-REG OUTCOME. Results Mean (SD) baseline SBP was 131.7 (11.8), 131.3 (13.0) and 131.2 (12.1) mmHg in the PBO, EMPA 10 mg and EMPA 25 mg groups, respectively in EMPA-BP (mean 24-h SBP) and 135.8 (17.2), 134.9 (16.8) and 135.6 (17.0) mmHg (office SBP), respectively in EMPA-REG OUTCOME. In these relatively young patients with T2DM and mildly elevated mean SBP, EMPA reduced mean SBP by 3.4–4.2 mmHg compared with PBO (table) at week 12. Mean (SE) weight was reduced with EMPA (10 and 25mg) vs PBO treatment by −1.5 (0.2) kg and −2.0 (0.2) kg in EMPA-BP and by −1.2 (0.1) kg and −1.5 (0.1) kg in EMPA-REG OUTCOME at week 12. Mean (SE) haematocrit was increased by 2.1 (0.2) % and 1.8 (0.2) % versus placebo in EMPA-BP and by 2.2 (0.1) % and 2.5 (0.1) % in EMPA-REG OUTCOME with EMPA 10 mg and EMPA 25 mg, respectively. Weight loss accounted for 21–24% of the SBP reduction with EMPA treatment in EMPA-BP and 9–11% in EMPA-REG OUTCOME. Changes in Hct accounted for negligible (between −10% to 1%) SBP reduction with EMPA. Conclusion The reduction in SBP is modestly mediated through a reduction in weight. There was no meaningful effect of EMPA induced changes in Hct on SBP. Results were consistent using ABPM or office SBP. These findings suggest that EMPA's effects on SBP are likely mediated through other mechanisms such as natriuresis or reduction in arterial stiffness. Funding Acknowledgement Type of funding sources: Private company. Main funding source(s): Boehringer Ingelheim and Eli Lilly and Company. Table 1

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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)0.002
metaresearch head score (Gemma)0.002
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 score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.235
Teacher spread0.222 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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