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Record W4396777400 · doi:10.1093/ehjacc/zuae036.134

Impact of intra-aortic balloon pump diastolic augmentation on survival in patients with cardiogenic shock

2024· article· en· W4396777400 on OpenAlexaff
Balimkiz Senman, Sean van Diepen, Carlos L. Alviar, Veraprapas Kittipibul, Garima Dahiya, Bret L. Pinsker, Shamit Soneji, William Ratliff, Bradley J. Hintze, A Kochar, Allison Dupont, J.N. Katz

Bibliographic record

VenueEuropean Heart Journal Acute Cardiovascular Care · 2024
Typearticle
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCardiogenic shockIntra-aortic balloon pumpCardiologyInternal medicineBalloonMedicineIntra-Aortic Balloon PumpingShock (circulatory)DiastoleMyocardial infarctionBlood pressure

Abstract

fetched live from OpenAlex

Abstract Funding Acknowledgements Type of funding sources: Other. Main funding source(s): PI funded - Jason Katz, MD Background Temporary MCS devices are routinely used in pts with CS. The most commonly used temporary MCS device worldwide is the IABP, which increases DBP, enhances coronary perfusion, and improves cardiac output. No randomized controlled trial has demonstrated its superiority over standard care practices and observational data suggest heterogeneity in its hemodynamic effect. IABP response likely depends on optimizing several pt- and device-related factors, most notably the ability to augment DBP. Unfortunately, a notable gap exists in defining the association of augmented DBP (aDBP) with mortality, and none of the contemporary clinical trials have systematically assessed this concept. Purpose In a cohort of pts with CS, the goal was to investigate the association between aDBP and survival in those supported with an IABP. Methods In a retrospective analysis of prospectively collected data from pts with CS who underwent IABP placement at Duke from 1/2010-6/2021 we describe baseline characteristics and discharge outcomes stratified by aDBP. Pre-insertion DBP was measured immediately prior to IABP, while post-insertion aDBP was collected 2 hrs following device placement. Success was defined as survival to hospital discharge. Death prior to discharge, hospice care, or escalation to ECMO, Impella, durable LVAD, or heart transplant were all considered a non-successful result. A multivariate logistic regression model was created to assess the association of aDBP on outcome, adjusting for pre-IABP DBP, age, sex, race, history of MI and HF. Results 514 CS pts were identified, of which 470 (91%) had available pre-insertion DBP and post-insertion aDBP. The modal age was 65-74 yrs, 75% were male, 54% were white, 85% had prior HF, and 34% had prior MI. Figure 1A shows the distribution of pre-insertion DBP (median 67 mmHg) and post-insertion aDBP (median 106 mmHg). Overall, 49% of pts had a successful outcome. There was a u-shaped relationship between aDBP and the likelihood of success; as an example, for a modeled pt (65-75yo male, pre-insertion DBP of 66 mmHg, no HF or MI), the predicted probability of a successful outcome increased from 10% to 65% as aDBP rose to 120 mmHg, followed by a subsequent decline (Figure 1B). The relationship between either absolute or relative change in aDBP over baseline, on the other hand, was no longer u-shaped, but rather linear. After multivariate adjustment, only aDBP was associated with success such that every 10mmHg increase in aDBP over baseline was associated with improved survival to hospital discharge (OR 1.12, p=0.03). Conclusions In a cohort of pts with CS managed with an IABP, we report for the first time that aDBP is associated with improved survival to hospital discharge. Future prospective and randomized analyses should aim to capture degree of augmentation when studying counterpulsation devices, and this may help to clarify the currently controversial role of the IABP in contemporary CS care.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.549
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.235
Teacher spread0.223 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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