MétaCan
Menu
Back to cohort
Record W4321501159 · doi:10.1001/jamasurg.2022.8127

Association of Days Alive and Out of the Hospital After Ventricular Assist Device Implantation With Adverse Events and Quality of Life

2023· article· en· W4321501159 on OpenAlexaff
Pierre‐Emmanuel Noly, Xiaoting Wu, Hechuan Hou, Kathleen L. Grady, J. Stewart, Robert B. Hawkins, Guangyu Yang, K. Dennie Kim, Min Zhang, Lourdes Cabrera, Keith D. Aaronson, Francis D. Pagani, Donald S. Likosky, Ashraf Shaaban Abdel Aziz Abou El Ela, Paul C. Tang, Michael P. Thompson, Peter Sassalos, Supriya Shore, Thomas Cascino, Jeffrey S. McCullough, Grace S. Chung, Allison M. Janda, Alexander A. Brescia, Gardner Yost, Austin E. Airhart

Bibliographic record

VenueJAMA Surgery · 2023
Typearticle
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsUniversité de MontréalMontreal Heart Institute
FundersNational Heart, Lung, and Blood Institute
KeywordsMedicineAdverse effectCohortVentricular assist deviceRetrospective cohort studyDestination therapyIncidence (geometry)Internal medicineEmergency medicineQuality of life (healthcare)SurgeryHeart failure

Abstract

fetched live from OpenAlex

Importance: There is a need to better assess the cumulative effect on morbidity and mortality in patients undergoing durable left ventricular assist device (LVAD) implantation. This study evaluates a patient-centered performance metric (days alive and out of hospital [DAOH]) for durable LVAD therapy. Objective: To determine the incidence of percent of DAOH before and after LVAD implantation and (2) explore its association with established quality metrics (death, adverse events [AEs], quality of life). Design, Settings, and Participants: This was a retrospective national cohort study of Medicare beneficiaries implanted with a durable continuous-flow LVAD between April 2012 and December 2016. The data were analyzed from December 2021 to May 2022. Follow-up was 100% complete at 1 year. Data from The Society of Thoracic Surgeons Intermacs registry were linked to Medicare claims. Main Outcomes and Measures: The number of DAOH 180 days before and 365 days after LVAD implantation and daily patient location (home, index hospital, nonindex hospital, skilled nursing facility, rehabilitation center, hospice) were calculated. Percent of DAOH was indexed to each beneficiary's pre- (percent DAOH-BF) and postimplantation (percentage of DAOH-AF) follow-up time. The cohort was stratified by terciles of percentage of DAOH-AF. Results: Among the 3387 patients included (median [IQR] age: 66.3 [57.9-70.9] years), 80.9% were male, 33.6% and 37.1% were Interfaces Patient Profile 2 and 3, respectively, and 61.1% received implants as destination therapy. Median (IQR) percent of DAOH-BF was 88.8% (82.7%-93.8%) and 84.6% (62.1-91.5%) for percent of DAOH-AF. While DAOH-BF was not associated with post-LVAD outcomes, patients in the low tercile of percentage of DAOH-AF had a longer index hospitalization stay (mean, 44 days; 95% CI, 16-77), were less likely to be discharged home (mean. -46.4 days; 95% CI, 44.2-49.1), and spent more time in a skilled nursing facility (mean, 27 days; 95% CI, 24-29), rehabilitation center (mean, 10 days; 95% CI, 8-12), or hospice (mean, 6 days; 95% CI, 4-8). Increasing percentage of DAOH-AF was associated with patient risk, AEs, and indices of HRQoL. Patients experiencing non-LVAD-related AEs had the lowest percentage of DAOH-AF. Conclusions and Relevance: Significant variability existed in the percentage of DAOH within a 1-year time horizon and was associated with the cumulative AEs burden. This patient-centered measure may assist clinicians in informing patients about expectations after durable LVAD implantation. Validation of percentage DAOH as a quality metric for LVAD therapy across centers should be explored.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.213

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.016
GPT teacher head0.225
Teacher spread0.210 · 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.

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

Citations24
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJAMA SurgerySame topicMechanical Circulatory Support DevicesFrench-language works237,207