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Record W4403396746 · doi:10.1161/hyp.81.suppl_1.p310

Abstract P310: Subclinical primary aldosteronism is associated with an increased risk of major adverse cardiovascular events

2024· article· en· W4403396746 on OpenAlexaff
Amel Merabtine, Gregory L. Hundemer, François Madore, Mohsen Agharazii, Rémi Goupil

Bibliographic record

VenueHypertension · 2024
Typearticle
Languageen
FieldMedicine
TopicHormonal Regulation and Hypertension
Canadian institutionsOttawa HospitalCentre hospitalier universitaire de QuébecHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsPrimary aldosteronismSubclinical infectionMedicineAdverse effectInternal medicineAldosteroneCardiologyEndocrinology

Abstract

fetched live from OpenAlex

Background: Subclinical primary aldosteronism (PA), defined as renin-independent aldosterone production without overt PA, has recently been associated with adverse cardiac remodelling, unfavorable indices of arterial stiffness and incident hypertension. The objective of this study was to evaluate whether subclinical PA is linked to an increased risk of cardiovascular events. Methods: This study used data from CARTaGENE, a populational cohort of randomly selected individuals aged 40-69 years, with prospective outcomes data obtained from linkage with governmental administrative databases. The outcome of interest was major adverse cardiovascular events (MACE), a composite of cardiovascular death, myocardial infarction, stroke and heart failure, assessed from enrollment (2009-2010) to March 2021. All individuals with available plasma renin and aldosterone measurements, outcomes data and nutritional assessment were included in this study. Cox regression models were used to test the associated between MACE and the log-transformed aldosterone-to-renin ratio (ARR), with adjustments for sex, age, height, weight, race, diabetes, prior cardiovascular disease, smoking status, systolic BP, heart rate, estimated glomerular filtration rate, sodium and potassium levels, LDL- and total-cholesterol, antihypertensive drugs (listed as individual classes), statin and aspirin use, and 24-hour nutritional intake of sodium and potassium. Multiple imputation was used for missing data. Results: In 2,055 participants with available data (45.5% female, mean age 55.6 years, 6.6% diabetes, 2.9% prior cardiovascular disease, mean baseline systolic BP 128.5 mmHg), 58 MACEs occurred over a median follow-up of 10.8 years (IQR 10.6-11.0). In the Cox regression analysis, the log-transformed ARR was predictive of MACE with a hazard ratio (HR) of 2.86 (95% CI 1.34 to 6.10, p=0.007). Results were similar when participants taking any anti-hypertensive drug were excluded (HR 3.05, 95% CI 1.38 to 6.71, p=0.006). Conclusion: In a representative sample of the general population, a higher ARR appears to be highly predictive of adverse cardiovascular events. This indicates that subclinical PA could be an important and yet unrecognized risk factor for cardiovascular diseases, and may warrant screening in a broader population.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.030
GPT teacher head0.259
Teacher spread0.229 · 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
Published2024
Admission routes1
Has abstractyes

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