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Record W4388607953 · doi:10.1001/jamacardio.2023.4664

Decline in Estimated Glomerular Filtration Rate After Dapagliflozin in Heart Failure With Mildly Reduced or Preserved Ejection Fraction

2023· article· en· W4388607953 on OpenAlexaff
Finnian R. Mc Causland, Brian Claggett, Muthiah Vaduganathan, Akshay S. Desai, Pardeep S. Jhund, Orly Vardeny, James C. Fang, Rudolf A. de Boer, Kieran F. Docherty, Adrian F. Hernandez, Silvio E. Inzucchi, Mikhail Kosiborod, Carolyn S.P. Lam, Felipe A. Martínez, José Francisco Kerr Saraiva, Martina M. McGrath, Sanjiv J. Shah, Subodh Verma, Anna Maria Langkilde, Magnus Petersson, John J.V. McMurray, Scott D. Solomon

Bibliographic record

VenueJAMA Cardiology · 2023
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsUniversity of Toronto
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institutes of HealthAstraZenecaAmgenPfizerBristol-Myers SquibbEli Lilly and CompanyNovo NordiskAmerican Heart Association
KeywordsMedicineDapagliflozinEjection fractionHeart failureRenal functionHeart failure with preserved ejection fractionPlaceboInternal medicineCardiologyDialysisKidney diseaseDiabetes mellitusHazard ratioType 2 diabetesEndocrinologyConfidence interval

Abstract

fetched live from OpenAlex

Importance: An initial decline in estimated glomerular filtration rate (eGFR) is expected after initiating a sodium-glucose cotransporter-2 inhibitor (SGLT2i) and has been observed across patients with diabetes, chronic kidney disease, and heart failure. Objective: To examine the implications of initial changes in eGFR among patients with heart failure with mildly reduced ejection fraction (HFmrEF) or preserved ejection fraction (HFpEF) enrolled in the Dapagliflozin Evaluation to Improve the Lives of Patients With Preserved Ejection Fraction Heart Failure (DELIVER) trial. Design, Setting, and Participants: This was a prespecified analysis of the results of the DELIVER randomized clinical trial, which was an international multicenter study of patients with EF greater than 40% and eGFR greater than or equal to 25. The DELIVER trial took place from August 2018 to March 2022. Data for the current prespecified study were analyzed from February to October 2023. Intervention: Dapagliflozin, 10 mg per day, or placebo. Main Outcomes and Measures: In this prespecified analysis, the frequency of an initial eGFR decline (baseline to month 1) was compared between dapagliflozin and placebo. Cox models adjusted for baseline eGFR and established prognostic factors were fit to estimate the association of an initial eGFR decline with cardiovascular (cardiovascular death or heart failure event) and kidney (≥50% eGFR decline, eGFR<15 or dialysis, death from kidney causes) outcomes, landmarked at month 1, stratified by diabetes. Results: Study data from 5788 participants (mean [SD] age, 72 [10] years; 3253 male [56%]) were analyzed. The median (IQR) change in eGFR level from baseline to month 1 was -1 (-6 to 5) with placebo and -4 (-9 to 1) with dapagliflozin (difference, -3; P < .001). A higher proportion of patients assigned to dapagliflozin developed an initial eGFR decline greater than 10% vs placebo (1144 of 2892 [40%] vs 737 of 2896 [25%]; odds ratio, 1.9; 95% CI, 1.7-2.1; P difference <.001). An initial eGFR decline of greater than 10% (vs ≤10%) was associated with a higher risk of the primary cardiovascular outcome among those randomized to placebo (adjusted hazard ratio [aHR], 1.33; 95% CI, 1.10-1.62) but not among those randomized to dapagliflozin (aHR, 0.90; 95% CI, 0.74-1.09; P for interaction = .01). Similar associations were observed when alternative thresholds of initial eGFR decline were considered and when analyzed as a continuous measure. An initial eGFR decline of greater than 10% was not associated with adverse subsequent kidney composite outcomes in dapagliflozin-treated patients (aHR, 0.94; 95% CI, 0.49-1.82). Conclusions and Relevance: Among patients with HFmrEF or HFpEF treated with dapagliflozin, an initial eGFR decline was frequent but not associated with subsequent risk of cardiovascular or kidney events. These data reinforce clinical guidance that SGLT2is should not be interrupted or discontinued in response to an initial eGFR decline. Trial Registration: ClinicalTrials.gov Identifier: NCT03619213.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.023
Threshold uncertainty score0.480

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.023
GPT teacher head0.287
Teacher spread0.264 · 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.

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

Citations38
Published2023
Admission routes1
Has abstractyes

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