MétaCan
Menu
Back to cohort

INCREASED PREVALENCE AND HIGHER 1-YEAR MORTALITY OF PATIENT HOSPITALIZED FOR AORTIC STENOSIS WITH COMORBID CHRONIC KIDNEY DISEASE IN THE PROVINCE OF QUEBEC, CANADA

2021· article· en· W3154625526 on OpenAlexaffabout
N. Khélifi, Denis Hamel, Sonia Jean, Claudia Blais, Fabrice Mac‐Way

Bibliographic record

VenueJournal of Hypertension · 2021
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsInstitut National de Santé Publique du QuébecUniversité Laval
Fundersnot available
KeywordsMedicineKidney diseaseDialysisStenosisInternal medicineComorbidityPopulationCardiologyEnvironmental health

Abstract

fetched live from OpenAlex

Abstract Objective: Development of aortic stenosis is associated with valvular calcifications which are highly prevalent in chronic kidney disease (CKD). The objective of this study was to evaluate the temporal trends in the prevalence and 1-year mortality of patients hospitalized for aortic stenosis according to comorbid CKD status in the province of Quebec, between 2000–2017. Design and method: Using the Quebec Integrated Chronic Disease Surveillance System, we identified patients aged 20 years and older with incident aortic stenosis using International Classification of Diseases diagnostic codes versions 9 and 10, in the hospital discharge database. We subsequently combined hospital discharges and physician billing claims databases to identify patients with comorbid CKD in the two years prior to aortic stenosis’ diagnosis. Three subgroups of CKD were considered: 1) non-CKD, 2) pre-dialysis and 3) dialysis. The distribution of the 2016–2017 aortic stenosis population was used for age-standardization of prevalence, 1-year all-cause and cardiovascular mortality. Results: We included 108 780 patients with incident aortic stenosis (females: 51.8%; mean age (±SD): 76.4 ± 11.7; comorbid CKD status: 80 768 non-CKD; 26 809 pre-dialysis; 1 203 dialysis). During the study period, the age-standardized prevalence of non-CKD patients decreased by 14% (80.72% [95% CI 77.56–83.99] to 69.56% [95% CI 67.23–71.94]; Figure 1). Inversely, the age-standardized prevalence of pre-dialysis and dialysis patients increased by 58% (18.52% [95% CI 16.93–20.21] to 29.33% [95% CI 27.82–30.91]) and 46% (0.76% [95% CI 0.51–1.11] to 1.11% [95% CI 0.84–1.44]), respectively. Age-standardized 1-year all-cause and cardiovascular mortality decreased over time but remained higher in patients with comorbid CKD. In 2015–2016, age-standardized relative risk of 1-year all-cause mortality was significantly higher in pre-dialysis (RR = 1.56 [95% CI 1.44, 1.69]) and dialysis (RR = 2.04 [95% CI 1.62–2.61]) than in non-CKD patients. Age-standardized relative risk of 1-year cardiovascular mortality was also significantly higher in pre-dialysis (RR = 1.83 [95% CI 1.66–2.03]) and dialysis (RR = 2.28 [95% CI 1.68–3.09]) than in non-CKD patients. Conclusions: Prevalence of patients with incident aortic stenosis and comorbid CKD increased between 2000–2017. 1-year all-cause and cardiovascular mortality improved over time but remain higher in aortic stenosis patients with comorbid CKD.

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)0.000
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 score0.013
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.260
Teacher spread0.249 · 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
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueJournal of HypertensionSame topicCardiac Valve Diseases and TreatmentsFrench-language works237,207