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Record W3089612515 · doi:10.1681/asn.2020050723

Early Change in Albuminuria with Canagliflozin Predicts Kidney and Cardiovascular Outcomes: A Post Hoc Analysis from the CREDENCE Trial

2020· article· en· W3089612515 on OpenAlexaff
Megumi Oshima, Brendon L. Neuen, Jingwei Li, Vlado Perkovic, David M. Charytan, Dick de Zeeuw, Robert Edwards, Tom Greene, Adeera Levin, Kenneth W. Mahaffey, Luca De Nicola, Carol A. Pollock, Norman Rosenthal, David C. Wheeler, Meg Jardine, Hiddo J.L. Heerspink

Bibliographic record

VenueJournal of the American Society of Nephrology · 2020
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsUniversity of British Columbia
FundersJanssen Research and DevelopmentJanssen Scientific Affairs
KeywordsCanagliflozinAlbuminuriaPost-hoc analysisMedicineCredenceInternal medicinePost hocEndocrinologyKidney diseaseDiabetes mellitusStatisticsType 2 diabetesMathematics

Abstract

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Significance Statement Studies of renin-angiotensin system inhibitors have consistently shown that the magnitude of albuminuria reduction during the first months of treatment is associated with risk reduction for kidney and cardiovascular outcomes. Whether or not the association between early changes in albuminuria and these outcomes also occurs with sodium-glucose cotransporter 2 (SGLT2) inhibition is unclear. This post hoc analysis of the Canagliflozin and Renal Events in Diabetes with Established Nephropathy Clinical Evaluation (CREDENCE) trial demonstrated that, in people with type 2 diabetes and CKD, treatment with the SGLT2 inhibitor canagliflozin results in an early and sustained reduction in albuminuria. It also shows that early changes in albuminuria were independently associated with long-term kidney and cardiovascular outcomes. These findings highlight the importance of monitoring albuminuria during canagliflozin treatment to assess kidney and cardiovascular prognosis. Background The association between early changes in albuminuria and kidney and cardiovascular events is primarily based on trials of renin-angiotensin system blockade. It is unclear whether this association occurs with sodium-glucose cotransporter 2 inhibition. Methods The Canagliflozin and Renal Events in Diabetes with Established Nephropathy Clinical Evaluation (CREDENCE) trial enrolled 4401 patients with type 2 diabetes and CKD (urinary albumin-creatinine ratio [UACR] >300 mg/g). This post hoc analysis assessed canagliflozin’s effect on albuminuria and how early change in albuminuria (baseline to week 26) is associated with the primary kidney outcome (ESKD, doubling of serum creatinine, or kidney death), major adverse cardiovascular events, and hospitalization for heart failure or cardiovascular death. Results Complete data for early change in albuminuria and other covariates were available for 3836 (87.2%) participants in the CREDENCE trial. Compared with placebo, canagliflozin lowered UACR by 31% (95% confidence interval [95% CI], 27% to 36%) at week 26, and significantly increased the likelihood of achieving a 30% reduction in UACR (odds ratio, 2.69; 95% CI, 2.35 to 3.07). Each 30% decrease in UACR over the first 26 weeks was independently associated with a lower hazard for the primary kidney outcome (hazard ratio [HR], 0.71; 95% CI, 0.67 to 0.76; P <0.001), major adverse cardiovascular events (HR, 0.92; 95% CI, 0.88 to 0.96; P <0.001), and hospitalization for heart failure or cardiovascular death (HR, 0.86; 95% CI, 0.81 to 0.90; P <0.001). Residual albuminuria levels at week 26 remained a strong independent risk factor for kidney and cardiovascular events, overall and in each treatment arm. Conclusions In people with type 2 diabetes and CKD, use of canagliflozin results in early, sustained reductions in albuminuria, which were independently associated with long-term kidney and cardiovascular outcomes.

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 score0.107
Threshold uncertainty score0.747

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.022
GPT teacher head0.253
Teacher spread0.231 · 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".

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Citations172
Published2020
Admission routes1
Has abstractyes

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