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Relationship Between Remote, Ambulatory Pulmonary Artery Pressures, and All-Cause Mortality in Patients With Chronic Heart Failure

2025· article· en· W4409444991 on OpenAlexaff
Michael R. Zile, William T. Abraham, Lynne W. Stevenson, Maria Rosa Costanzo, Christiane E. Angermann, Mandeep R. Mehra, Akshay S. Desai, Anique Ducharme, Nessa Johnson, John Henderson, JoAnn Lindenfeld

Bibliographic record

VenueCirculation Heart Failure · 2025
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsMedicineHeart failureAmbulatoryCardiologyInternal medicinePulmonary arteryIntensive care medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Hemodynamically guided management of patients with chronic heart failure (HF), using a remote, ambulatory pulmonary artery (PA) pressure monitor, has been shown to reduce mortality and morbidity. These improved outcomes were associated with a reduction in PA pressure. However, several pivotal questions remain unanswered: do systolic, diastolic, or mean PA pressures each predict all-cause mortality? Do PA pressures predict mortality across the ejection fraction (EF) spectrum? Do increases or decreases in PA pressure over time predict increases or decreases in mortality? METHODS: Retrospective analyses of data from CHAMPION (CardioMEMS Heart Sensor Allows Monitoring of Pressure to Improve Outcomes in NYHA Class III Heart Failure Patients; n=550), GUIDE-HF (Hemodynamic-GUIDEed management of Heart Failure; n=2358), US PAS (CardioMEMS HF System Post Approval Study; n=1200), and MEMS-HF (CardioMEMS Monitoring Study for Heart Failure; n=234) were performed, including all enrolled patients regardless of treatment assignments (Total N=4342). PA systolic, PA diastolic, and PA mean pressures were examined in patients with HF and reduced EF (<50%, n=2562) and preserved EF (≥50%, n=1454). Baseline pressure (averaged over 14 days after implantation) and change in pressure (increase/decrease/no change) from baseline to 6 months (averaged over 14 days just before the 6-month time point) were related to all-cause mortality over a 2-year follow-up period. RESULTS: Baseline PA diastolic, independent of other covariates, was a significant predictor of mortality (hazard ratio, 1.04 [95% CI, 1.03–1.05]; P <0.0001). Change in PA diastolic from baseline to 6 months (assessed as a continuous variable) was an independent predictor of mortality after 6 months (landmark analysis; hazard ratio, 1.03 [95% CI, 1.01–1.05]; P =0.0042). Change in PA diastolic from baseline to 6 months(assessed as a categorical variable) decrease or increase of >2 mm Hg compared with no change predicted a 14.7% decrease and 26.7% increase in mortality, respectively ( P =0.0237). PA systolic and PA mean pressures in both HF with reduced EF and HF with preserved EF patients, for both baseline and change from baseline to 6 months, were also predictive of all-cause mortality. CONCLUSIONS: Baseline PAP (systolic, diastolic, and mean) and change in PAP (systolic, diastolic, and mean) from baseline to 6 months were independent predictors of 2-year mortality in patients with chronic HF in both preserved and reduced EF. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifiers: CHAMPION, NCT00531661; GUIDE-HF, NCT03387813; USPAS, NCT02279888; MEMS-HF, NCT02693691.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.028
GPT teacher head0.285
Teacher spread0.257 · 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.

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

Citations14
Published2025
Admission routes1
Has abstractyes

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