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Record W4297855248 · doi:10.1002/ehf2.14166

Influence of Diabetes on Sacubitril/Valsartan Titration and Clinical Outcomes in Patients Hospitalized for Heart Failure

2022· article· en· W4297855248 on OpenAlexaff
Klaus K. Witte, Rolf Wachter, Michele Senni, Jan Bělohlávek, Ewa Straburzyńska‐Migaj, Cândida Fonseca, Eva Lonn, Adele Noè, H. Schwende, Dmytro Butylin, YannTong Chiang, Domingo A. Pascual‐Figal

Bibliographic record

VenueESC Heart Failure · 2022
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsMcMaster UniversityPopulation Health Research Institute
FundersNovartis Pharma
KeywordsMedicineSacubitril, ValsartanTolerabilityValsartanSacubitrilInternal medicineDiabetes mellitusHeart failureEjection fractionSubgroup analysisRelative riskCardiologyAdverse effectEndocrinologyConfidence intervalBlood pressure

Abstract

fetched live from OpenAlex

AIMS: Diabetes mellitus is associated with worse outcomes and lower attainment of disease-modifying therapies in patients with heart failure with reduced ejection fraction (HFrEF). This post hoc analysis of TRANSITION compared the patterns of tolerability and uptitration of sacubitril/valsartan in patients with HFrEF stabilized after hospital admission due to acute decompensated HF depending on the presence or absence of diabetes as a co-morbidity. METHODS: TRANSITION, a randomized, open-label study compared sacubitril/valsartan initiation pre-discharge vs. post-discharge (up to14 days) in 991 patients hospitalized for acutely decompensated HFrEF. The impact of diabetes status on tolerability and safety was studied at 10-week and 26-week post-randomization. RESULTS: Among the 991 patients analysed at baseline, 460 (46.4%) had diabetes and exhibited a higher risk profile. At 10 weeks, sacubitril/valsartan target dose (97/103 mg bid) was achieved in a similar proportion of patients in each subgroup, when initiated pre-discharge or post-discharge respectively [diabetes subgroup: 47% (n = 105/226) vs. 50% (n = 115/228); relative risk ratio (RRR), 0.923; P = 0.412; non-diabetes subgroup: 45% (n = 119/267) vs. 51% (n = 133/261); RRR, 0.878; P = 0.155]. The proportions of patients achieving and maintaining either 49/51 mg or 97/103 mg bid [diabetes subgroup: 61.1% (n = 138/226) vs. 67.5% (n = 154/228); RRR, 0.909; P = 0.175; non-diabetes subgroup: 62.9% [n = 168/267] vs 69.3% [n = 181/261]; RRR, 0.906; P = 0.118] or any dose for ≥2 weeks leading to Week 10 [diabetes subgroup: 85% (n = 192/226) vs. 88.2% (n = 201/228); RRR, 0.966; P = 0.356; non-diabetes subgroup: 86.9% (n = 232/267) vs. 90.8% (n = 237/261); RRR, 0.963; P = 0.215] were also similar in each subgroup, when initiated pre-discharge or post-discharge, respectively. At 10 weeks, hypotension and renal dysfunction rates were similar, although hyperkalaemia was higher among patients with diabetes (15.9% vs. 9.5%). The rate of permanent discontinuation due to adverse events was similar in the diabetes and non-diabetes subgroups at 10 weeks, respectively: pre-discharge (7.5% vs. 7.1%) or post-discharge (5.7% vs. 4.2%). Similar patterns of uptitration and tolerability were observed at 26 weeks. Cardiac biomarkers including NT-proBNP (P < 0.005) and hs-TnT (P < 0.005) reduced significantly from baseline levels in both subgroups at Weeks 4 and 10; however, the response was greater among patients without diabetes. Mortality (diabetes vs. non-diabetes subgroups: 3.3% vs 4.0%; P = 0.438) and HF rehospitalization (diabetes vs. non-diabetes subgroups: 36.3% vs. 33.0%; P = 0.295) did not differ between the groups at 26 weeks. CONCLUSIONS: Despite a higher risk profile among patients with diabetes, sacubitril/valsartan initiation either before or shortly after discharge in hospitalized patients with HFrEF resulted in comparable rates of dose up-titration and tolerability as in those without diabetes.

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)0.001
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 score0.085
Threshold uncertainty score0.803

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.012
GPT teacher head0.296
Teacher spread0.284 · 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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Citations7
Published2022
Admission routes1
Has abstractyes

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