Evidence map›Paper›PMID 40464871›Full record

ArticleJournal of nephrology2025

Primary hyperoxaluria type 1 diagnosis in adult dialysis patients: prediction model assessment in a group of Italian patients.

Pietro Manuel Ferraro, Eloisa Arbustini, Diego Bellino, Chiara Caletti, Irene Capelli, Giovanna Capolongo, Maria Rosa Caruso, Paola Cianfrone, Maria Michela D'Alessandro, Marina Di Luca and 7 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

17 authors.

Pietro Manuel FerraroSection of Nephrology, Department of Medicine, Università degli Studi di Verona, Piazzale L.A. Scuro 10, 37134, Verona, Italy. simonetta.papa@polistudium.it.ORCID http://orcid.org/0000-0002-1379-022X
Eloisa ArbustiniCenter for Inherited Cardiovascular Diseases, Scientific Department, IRCCS Foundation, Policlinico San Matteo, Pavia, Italy.
Diego BellinoClinica Nefrologica Dialisi e Trapianto, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Chiara CalettiSection of Nephrology, Department of Medicine, Università degli Studi di Verona, Piazzale L.A. Scuro 10, 37134, Verona, Italy.
Irene CapelliNephrology, Dialysis and Renal Transplant Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Alma Mater Studiorum, University of Bologna, Bologna, Italy.
Giovanna CapolongoDepartment of Translational Medical Sciences, Unit of Nephrology, University of Campania "Luigi Vanvitelli", Naples, Italy.
Maria Rosa CarusoPapa Giovanni XXIII Hospital, Bergamo, Italy.
Paola CianfroneNephrology and Dialysis Unit, Magna Graecia University Hospital, Catanzaro, Italy.
Maria Michela D'AlessandroPediatria ad Indirizzo Nefrologico e Dialisi, P.O. G. Di Cristina, A.R.N.A.S. Ospedali Civico Di Cristina Benfratelli, Palermo, Italy.
Marina Di LucaDepartment of Nephrology and Dialysis, Ospedale Santa Croce, Azienda Sanitaria Territoriale n 1, Fano, Pesaro-Urbino, Italy.
Giovanni GambaroSection of Nephrology, Department of Medicine, Università degli Studi di Verona, Piazzale L.A. Scuro 10, 37134, Verona, Italy.
Alessandra PalmisanoNephrology Unit, Department of Medicine and Surgery, University Hospital of Parma, Parma, Italy.
Andrea RanghinoNephrology, Dialysis and Renal Transplantation Unit, Azienda Ospedaliero Universitaria delle Marche, Ancona, Italy.
Gaia Santagostino BarboneNefrologia e Dialisi, Ospedale Bassini, ASST Nord Milano, Cinisello Balsamo, Milan, Italy.
Francesca ViazziClinica Nefrologica Dialisi e Trapianto, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Loretta ZambianchiSection of Nephrology, Department of Medicine, Ospedale Nuovo Morgagni, Forlì, Italy.
Giorgia MandrileGenetic Unit and Thalassemia Center, San Luigi Gonzaga University Hospital, Orbassano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo increase the diagnostic rate of primary hyperoxaluria type 1 (PH1) in the adult dialysis setting, a prediction model based on five readily available clinical parameters was recently developed and validated in an adult hemodialysis population. To further test the prediction model in clinical practice, this case series describes the retrospective application of the diagnostic algorithm in a group of adult dialysis patients with PH1 treated at different Italian nephrology centers.

methodsBetween January and May 2023, adult patients (≥ 18 years) undergoing chronic hemodialysis with a genetic diagnosis of PH1, followed at 14 Italian nephrology centers, were selected for the retrospective application of the prediction model.

resultsThe presence of at least one red flag of the diagnostic algorithm was reported in most patients (14 out of 15; 93%), two red flags were present in four patients (27%), and three red flags in two patients (13%). A history of active nephrolithiasis was the most common clinical feature (87% of patients), followed by early dialysis initiation, nephrocalcinosis and a family history of CKD (20-27%).

conclusionsOur study provides further evidence on the real-world application of a simple algorithm, implemented by easily accessible clinical parameters, to be used as a screening tool for diagnosing PH1 in adult patients undergoing dialysis. The successful implementation of this prediction model has the potential to facilitate timely diagnosis, improve patient outcomes, and inform targeted therapeutic interventions in this patient setting.

Indexed as

Hyperoxaluria, PrimaryRenal DialysisAdultAgedAlgorithmsFemaleHumansItalyMaleMiddle AgedPredictive Value of TestsRetrospective StudiesDiagnostic algorithmPH1Primary hyperoxaluriaRed flags

Identifiers

PMID40464871
PMCPMC12630283

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.