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PD55-06 EARLY PRENATAL DETECTION OF LUTO IS ASSOCIATED WITH INCREASED RISK OF KIDNEY TRANSPLANTATION—A MULTI-INSTITUTIONAL TRANS-ATLANTIC EXPERIENCE

2024· article· en· W4394801859 on OpenAlexaboutno aff
Franziska Juliane Richter, Luke Harper, Silvia Pecorelli, Massimo Garriboli, Giulia Lanfranchi, Hayley Good, Joana Dos Santos, Jin K. Kim, Shiri Shinar, Tim Van Mieghem, Armando J. Lorenzo, Mandy Rickard

Bibliographic record

VenueThe Journal of Urology · 2024
Typearticle
Languageen
FieldMedicine
TopicPediatric Urology and Nephrology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTransplantationKidney diseasePrenatal diagnosisPregnancyFetusSurgeryInternal medicine

Abstract

fetched live from OpenAlex

You have accessJournal of UrologyPediatrics VI (PD55)1 May 2024PD55-06 EARLY PRENATAL DETECTION OF LUTO IS ASSOCIATED WITH INCREASED RISK OF KIDNEY TRANSPLANTATION—A MULTI-INSTITUTIONAL TRANS-ATLANTIC EXPERIENCE Franziska Juliane Richter, Luke Harper, Silvia Pecorelli, Massimo Garriboli, Giulia Lanfranchi, Hayley Good, Joana Dos Santos, Jin K. Kim, Shiri Shinar, Tim Van Mieghem, Armando J. Lorenzo, and Mandy Rickard Franziska Juliane RichterFranziska Juliane Richter , Luke HarperLuke Harper , Silvia PecorelliSilvia Pecorelli , Massimo GarriboliMassimo Garriboli , Giulia LanfranchiGiulia Lanfranchi , Hayley GoodHayley Good , Joana Dos SantosJoana Dos Santos , Jin K. KimJin K. Kim , Shiri ShinarShiri Shinar , Tim Van MieghemTim Van Mieghem , Armando J. LorenzoArmando J. Lorenzo , and Mandy RickardMandy Rickard View All Author Informationhttps://doi.org/10.1097/01.JU.0001008908.82706.9f.06AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Prenatal detection of lower urinary tract obstruction (LUTO) early in pregnancy is thought to be associated with poor postnatal outcomes. However, there is limited evidence on postnatal prognosis when detected in the 2nd or 3rd trimester with respect to progression to chronic kidney disease (CKD) and renal replacement therapy. Herein, we aim to determine prevalence and trends of CKD, end stage kidney disease (ESKD) and transplantation in prenatally-detected LUTO patients stratified by trimester of diagnosis. METHODS: Following multi-institutional review of prenatal LUTO cases from France, England and Canada, patients were assigned to groups based on time of first detection (2nd or 3rd trimester). Assessed variables included prematurity, creatinine and eGFR levels at first visit (baseline), 1 and 5 years of age and last follow-up, and progression to transplantation/ESKD. RESULTS: LUTO was suspected in 124 male patients during the second (n=57, 20.0 weeks, IQR 13, 27) or third trimester (n=67, 32.0 weeks, IQR 27, 38). Median creatinine levels at baseline (p=0.4256), 1 year of age (p=0.0759) and after 5 years (p=0.2505) as well as progression to CKD3-4 (p>0.9999) were similar. However, progression to renal replacement therapy was more pronounced in the second trimester vs. third trimester groups, and 2nd trimester progression was significantly worse for transplantation and ESKD/CKD5 (Dialysis: 13.6% vs. 2.4% [p=0.0685]; transplantation: 15.8% vs. 2.9% [p=0.0227] and ESKD/CKD5: 37% vs. 10.7% [p=0.0286]) at median follow up of 54.5 and 59.8 months, respectively (Table 1). CONCLUSIONS: Detection of LUTO during the second trimester appears to portent worse outcomes during childhood, as reflected by significantly increased rates of kidney transplantation. As we accrue more data, validation will carry important prognostic and counseling implications. Source of Funding: None © 2024 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 211Issue 5SMay 2024Page: e1152 Advertisement Copyright & Permissions© 2024 by American Urological Association Education and Research, Inc.Metrics Author Information Franziska Juliane Richter More articles by this author Luke Harper More articles by this author Silvia Pecorelli More articles by this author Massimo Garriboli More articles by this author Giulia Lanfranchi More articles by this author Hayley Good More articles by this author Joana Dos Santos More articles by this author Jin K. Kim More articles by this author Shiri Shinar More articles by this author Tim Van Mieghem More articles by this author Armando J. Lorenzo More articles by this author Mandy Rickard More articles by this author Expand All Advertisement PDF downloadLoading ...

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)0.001
metaresearch head score (Gemma)0.002
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 score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.246
Teacher spread0.235 · 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
Published2024
Admission routes1
Has abstractyes

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