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Record W4396989655 · doi:10.1681/asn.20223311s1226a

Association Between CKD Progression and Heart Failure: A Retrospective Cohort Study

2022· article· en· W4396989655 on OpenAlexaffabout
Silvia Juliana Leon Mantilla, Reid Whitlock, Clara Bohm, Paul Komenda, Claudio Rigatto, Navdeep Tangri

Bibliographic record

VenueJournal of the American Society of Nephrology · 2022
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsUniversity of ManitobaSeven Oaks General Hospital
Fundersnot available
KeywordsMedicineRetrospective cohort studyInternal medicineHeart failureCohortCohort studyKidney diseaseCardiologyIntensive care medicine

Abstract

fetched live from OpenAlex

Background: Heart failure (HF) and chronic kidney disease (CKD) are strongly interlinked through multifaceted inter-organ cross-talk that increase the risk of the coexistence of both conditions. HF and CKD separately and in combination, are associated with high symptom burden, mortality risk and increased healthcare costs. We sought to determine if heart failure is a risk factor for adverse renal outcomes and death in patients with CKD and to quantify the magnitude of its effect. Methods: We conducted a retrospective cohort study using administrative health data from Manitoba, Canada. We included all adults (≥ 18 years) with prevalent CKD (as defined by KDIGO using CDK-EPI eGFR <60 mL/min/1.73 m2 and/or proteinuria for over 3 months) between January 1st, 2007, and Jan 1st, 2018. We identified a subgroup of patients with HF at baseline. We examined the association of interim HF event (as timedependent exposure) with study outcomes using time-dependent Cox models adjusted for demographics, comorbidities, eGFR, UACR, and medications (e.g., RAASi, beta blockers). The primary composite outcome was ≥ 40% decline in estimated glomerular filtration rate (eGFR), renal replacement therapy (chronic dialysis or kidney transplant), or all-cause mortality: DD40 events. Results: Of the 18,880 prevalent CKD, 3,650 (19%) had history of HF at baseline. The mean eGFR was 51 ± 26 mL/min/1/.73m2 and the median UACR was 6.20 mg/mmol (IQR: 1.4 - 32.4). There were 4,546 (24%) patients with at least 1 interim HF event, with a median time to first interim HF event of 1.9 years. In time-dependent analysis, those with HF at baseline had a higher risk of DD40 events as well as its components after an interim HF event compared to those without interim HF events adjusted HR for DD40 (aHR): 1.98; 95%CI: 1.81-2.17. Similarly, in those without HF at baseline, interim HF hospitalization was associated with higher risk of DD40 events compared to those without interim HF events (aHR: 1.59; 95%CI: 1.50-1.69). Conclusions: Interim heart failure is associated with an increased risk of a composite outcome of all-cause mortality, ESKD, and ≥ 40% decline in eGFR in patients with CKD irrespective of history of HF. These findings strongly support efforts to optimize treatment for primary and secondary prevention of heart failure hospitalizations in patients with CKD. Funding: Private Foundation Support

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)0.002
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 score0.177
Threshold uncertainty score0.352

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.001
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 head0.011
GPT teacher head0.293
Teacher spread0.282 · 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

Citations0
Published2022
Admission routes2
Has abstractyes

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