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Record W2796354637 · doi:10.14740/gr972w

Clinical Predictors for Repeat Hospitalizations in Left Ventricular Assist Device (LVAD) Patients With Gastrointestinal Bleeding

2018· article· en· W2796354637 on OpenAlexvenueno aff
Charles V. Welden, Wiley Truss, Gerald McGwin, Frederick Weber, Shajan Peter

Bibliographic record

VenueGastroenterology Research · 2018
Typearticle
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineVentricular assist deviceGastrointestinal bleedingBleedHeart failureDestination therapyRetrospective cohort studyIncidence (geometry)Internal medicineCohortCardiologySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Patients implanted with left ventricular assist devices (LVAD) carry an increased risk of gastrointestinal bleeding (GIB), estimated at 25% in most studies. Significant efforts are employed in localizing and stopping the source of bleeding, but the rates of repeat hospitalization for GIB remain surprisingly high. Given the increasing incidence of LVAD-dependent end-stage heart failure and the excessive costs associated with repetitive endoscopic investigations, risk factors associated with re-bleeding need to be determined. The aim of our study was to investigate clinical predictors associated with repeat hospitalizations for GIB in patients implanted with a LVAD. METHODS: We conducted a retrospective cohort using the prospectively assembled ventricular assist device database at the University of Alabama at Birmingham. We identified all end-stage heart failure patients who were implanted with a continuous-flow (CF) LVAD between Jan 1, 2009 and Dec 31, 2013. We excluded pulsatile devices, biventricular assist devices (BiVADs), right ventricular assist devices (RVADs), and patients under 19 years of age. RESULTS: There were 102 patients implanted with a CF-LVAD within the specified time period. With an average follow-up of 127 weeks, 32 (31.4%) patients developed GIB requiring 79 separate hospitalizations. Average time from LVAD implantation to first bleed was 343 days. The re-bleeding rate requiring readmission was 56.3% in those admitted with GIB, with eight (25%) of the patients necessitating multiple readmissions. The average hospital stay for a primary diagnosis of GIB was 9.45 days. Totally, 68 (86%) patients required endoscopic evaluation during their hospitalization, with 35 (44%) necessitating multiple procedures during the same admission. The average time to first endoscopy was 2.5 days with a median of 2 days. Patients receiving early endoscopy (< 48 h from admission) were 57% less likely to require future readmission for GIB compared to patients undergoing late endoscopy (> 48 h) (OR: 0.43, CI: 0.19 - 0.9). Other factors associated with repeat admissions for GIB included indication for LVAD (bridge to transplant had OR: 0.07, CI: 0.02 - 0.27), male gender (OR: 10.4, CI: 1.8 - 59), length of initial hospital stay (OR: 0.83, CI: 0.71 - 0.97), and INR on admission (OR: 3.6, CI: 1.46 - 8.8). Although not statistically significant, patients undergoing subsequent endoscopies during a single admission were 84% less likely to develop re-bleeding in the future (OR: 0.158, CI: 0.025 - 1.02). CONCLUSIONS: GIB in LVAD patients is a significant problem with high rates of readmission despite extensive endoscopic investigations and anticoagulant adjustments. Our experience revealed that early endoscopy, longer initial hospital stay, and better INR control were all associated with decreased rates of readmission for GIB in this population. These modifiable factors should be emphasized and addressed in the future to reduce the burdens associated with repeated hospitalizations.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.015
Threshold uncertainty score0.724

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 integrity0.0000.001
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 head0.038
GPT teacher head0.328
Teacher spread0.290 · 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".

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Citations10
Published2018
Admission routes1
Has abstractyes

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