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Abstract 11319: Post-Operative Dialysis in Failing Fontan Patients Undergoing Heart Transplant: How Well Does the Pre-Transplant Creatinine Clearance Risk-Stratify Patients?

2022· article· en· W4380794046 on OpenAlexaff
Humera Ahmed, John C. Dykes, Sharon Chen, M. Chrisant, Kevin P. Daly, Rebecca Ameduri, Kenneth R. Knecht, Marc E. Richmond, Kimberly Y. Lin, Simon Urschel, Jacob Simmonds, Kathleen E. Simpson, Kurt R. Schumacher, Christopher S. Almond

Bibliographic record

VenueCirculation · 2022
Typearticle
Languageen
FieldMedicine
TopicTransplantation: Methods and Outcomes
Canadian institutionsStollery Children's Hospital
Fundersnot available
KeywordsMedicineRenal functionDialysisCreatinineInternal medicineTransplantationHeart failureCardiologyHeart transplantationUrology

Abstract

fetched live from OpenAlex

Introduction: The need for dialysis early post-heart transplant (HT) can be suprisng when it occurs in the setting of purportedly normal renal function pre-HT, as has been described in failing Fontan (FF) patients. Hypothesis: We hypothesized that FF patients may have an increased incidence of post-operative dialysis (POD). Methods: The Pediatric Heart Transplant Society (PHTS) database was used to identify all children ≥2 years of age with failing Fontan (FF) physiology or cardiomyopathy (CM, benchmark lesion) who underwent isolated HT from 2005-2019. The primary endpoint was POD, defined as any form of dialysis within the first 30 days post-HT. Pre-transplant estimated glomerular filtration rate (eGFR) was calculated using the modified Schwartz formula, and a subset of patients with provided supplemental data additionally had renal function evaluated by a non-creatinine-based method. Results: Of 2003 children who met the inclusion criteria, 263 had FF (13%) and 1740 had CM (87%). Whereas the mean ages were similar (FF 11.2 vs CM 12.2 years, P=0.3), FF patients were 11% shorter (134 vs. 148, P<0.001) and 9 kg lighter (31.2 vs. 40.2, P<0.001), and had a lower serum creatinine (0.57 vs. 0.64 mg/dl, P=0.001) but similar eGFR pre-transplant (110.2 vs. 106.7 L/min/1.73m 2 , P=0.26). In a subset of 22 FF patients with available results from 24-hour urine collection or nuclear medicine scan, the Schwartz formula overestimated the GFR in 15/22 patients by an average of 40.2 ml/min/1.73 m2 (range 2.6 to 91.8). Overall, compared to CM patients, FF patients had a 4.7-fold higher risk of requiring POD (3.8% vs. 0.8%, P<0.001). Of those who required POD, the difference in 30 day post-HT mortality was not significant (40% vs. 14%, 0.3). Multivariable analysis revealed that pre-HT ECMO and longer CPB times were independently associated with POD; there was a trend toward association of higher pre-HT eGFR (P=0.06). Conclusions: Fontan patients have a ~5-fold higher risk of post-operative dialysis compared to cardiomyopathy patients, and despite a normal or even supraphysiological pre-transplant estimated CrCl. Non-creatinine-based methods independent of malnutrition status should be considered in the FF 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)0.002
metaresearch head score (Gemma)0.007
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 score0.002
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.272
Teacher spread0.261 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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