Follow-up of urolithiasis patients after treatment: an algorithm from the EAU Urolithiasis Panel

Objective To develop a follow-up algorithm for urinary stone patients after definitive treatment. Materials and methods The panel performed a systematic review on follow-up of urinary stone patients after treatment (PROSPERO: CRD42020205739). Given the lack of comparative studies we critically evaluated the literature and reached a consensus on the follow-up scheme. Results A total of 76 studies were included in the analysis, including 17 RCTs. In the stone-free general population group, 71–100% of patients are stone-free at 12 months while 29–94% remain stone-free at 36 months. We propose counselling these patients on imaging versus discharge after the first year. The stone-free rate in high-risk patients not receiving targeted medical therapy is < 40% at 36 months, a fact that supports imaging, metabolic, and treatment monitoring follow-up once a year. Patients with residual fragments ≤ 4 mm have a spontaneous expulsion rate of 18–47% and a growth rate of 10–41% at 12 months, supporting annual imaging follow-up. Patients with residual fragments > 4 mm should be considered for surgical re-intervention based on the low spontaneous expulsion rate (13% at 1 year) and high risk of recurrence. Plain film KUB and/or kidney ultrasonography based on clinicians’ preference and stone characteristics is the preferred imaging follow-up. Computed tomography should be considered if patient is symptomatic or intervention is planned. Conclusions Based on evidence from the systematic review we propose, for the first time, a follow-up algorithm for patients after surgical stone treatment balancing the risks of stone recurrence against the burden of radiation from imaging studies..

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:42

Enthalten in:

World journal of urology - 42(2024), 1 vom: 28. März

Sprache:

Englisch

Beteiligte Personen:

Lombardo, Riccardo [VerfasserIn]
Tzelves, Lazaros [VerfasserIn]
Geraghty, Robert [VerfasserIn]
Davis, Niall F. [VerfasserIn]
Neisius, Andreas [VerfasserIn]
Petřík, Ales [VerfasserIn]
Gambaro, Giovanni [VerfasserIn]
Türk, Christian [VerfasserIn]
Somani, Bhaskar [VerfasserIn]
Thomas, Kay [VerfasserIn]
Skolarikos, Andreas [VerfasserIn]

Links:

Volltext [lizenzpflichtig]

BKL:

44.88

Themen:

Algorithm
Follow-up
Imaging
Metabolic
Urinary stone treatment

Anmerkungen:

© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

doi:

10.1007/s00345-024-04872-y

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

SPR055331270