Download
13613_2024_Article_1349.pdf 2,32MB
WeightNameValue
1000 Titel
  • Predictive enrichment for the need of renal replacement in sepsis-associated acute kidney injury: combination of furosemide stress test and urinary biomarkers TIMP-2 and IGFBP-7
1000 Autor/in
  1. Palmowski, Lars |
  2. Lindau, Simone |
  3. Henk, Laura Contreras |
  4. Marko, Britta |
  5. Witowski, Andrea |
  6. Nowak, Hartmuth |
  7. Stoll, Sandra E. |
  8. Zacharowski, Kai |
  9. Böttiger, Bernd W. |
  10. Peters, Jürgen |
  11. Adamzik, Michael |
  12. Dusse, Fabian |
  13. Rahmel, Tim |
1000 Verlag Springer International Publishing
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-07-13
1000 Erschienen in
1000 Quellenangabe
  • 14(1):111
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s13613-024-01349-4 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11246358/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>In sepsis, initial resuscitation with fluids is followed by efforts to achieve a negative fluid balance. However, patients with sepsis-associated acute kidney injury (SA-AKI) often need diuretic or renal replacement therapy (RRT). The dilemma is to predict whether early RRT might be advantageous or diuretics will suffice. Both the Furosemide Stress Test (FST) and measurements of the urinary biomarkers TIMP-2*IGFBP-7, if applied solely, do not provide sufficient guidance. We tested the hypothesis that a combination of two tests, i.e., an upstream FST combined with downstream measurements of urinary TIMP-2*IGFBP-7 concentrations improves the accuracy in predicting RRT necessity.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>In this prospective, multicenter study 100 patients with sepsis (diagnosed &lt; 48h), AKI stage ≥ 2, and an indication for negative fluid balance were included between 02/2020 and 12/2022. All patients received a standardized FST and urinary biomarkers TIMP-2*IGFBP-7 were serially measured immediately before and up to 12 h after the FST. The primary outcome was the RRT requirement within 7 days after inclusion.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>32% (n = 32/99) of SA-AKI patients eventually required RRT within 7 days. With the FST, urine TIMP-2*IGFBP-7 decreased within 2 h from 3.26 ng<jats:sup>2</jats:sup>/mL<jats:sup>2</jats:sup>/1000 (IQR: 1.38–5.53) to 2.36 ng<jats:sup>2</jats:sup>/mL<jats:sup>2</jats:sup>/1000 (IQR: 1.61–4.87) in RRT and 1.68 ng<jats:sup>2</jats:sup>/mL<jats:sup>2</jats:sup>/1000 (IQR: 0.56–2.94) to 0.27 ng<jats:sup>2</jats:sup>/mL<jats:sup>2</jats:sup>/1000 (IQR: 0.12–0.89) and non-RRT patients, respectively. While TIMP-2*IGFBP-7 concentrations remained low for up to 12 h in non-RRT patients, we noted a rebound in RRT patients after 6 h. TIMP-2*IGFBP-7 before FST (accuracy 0.66; 95%-CI 0.55–0.78) and the FST itself (accuracy 0.74; 95%-CI: 0.64–0.82) yielded moderate test accuracies in predicting RRT requirement. In contrast, a two-step approach, utilizing FST as an upstream screening tool followed by TIMP-2*IGFBP-7 quantification after 2 h improved predictive accuracy (0.83; 95%-CI 0.74–0.90, p = 0.03) compared to the FST alone, resulting in a positive predictive value of 0.86 (95%-CI 0.64–0.97), and a specificity of 0.96 (95%-CI 0.88–0.99).</jats:p> </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> <jats:p>The combined application of an upstream FST followed by urinary TIMP-2*IGFBP-7 measurements supports highly specific identification of SA-AKI patients requiring RRT. Upcoming interventional trials should elucidate if this high-risk SA-AKI subgroup, identified by our predictive enrichment approach, benefits from an early RRT initiation.</jats:p> </jats:sec>
1000 Sacherschließung
lokal Insulin-like growth factor-binding protein-7
lokal Precision medicine
lokal FST
lokal Tissue inhibitor of metalloproteinases-2
lokal Research
lokal RRT
lokal SA-AKI
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/UGFsbW93c2tpLCBMYXJz|https://frl.publisso.de/adhoc/uri/TGluZGF1LCBTaW1vbmU=|https://frl.publisso.de/adhoc/uri/SGVuaywgTGF1cmEgQ29udHJlcmFz|https://frl.publisso.de/adhoc/uri/TWFya28sIEJyaXR0YQ==|https://frl.publisso.de/adhoc/uri/V2l0b3dza2ksIEFuZHJlYQ==|https://frl.publisso.de/adhoc/uri/Tm93YWssIEhhcnRtdXRo|https://frl.publisso.de/adhoc/uri/U3RvbGwsIFNhbmRyYSBFLg==|https://frl.publisso.de/adhoc/uri/WmFjaGFyb3dza2ksIEthaQ==|https://frl.publisso.de/adhoc/uri/QsO2dHRpZ2VyLCBCZXJuZCBXLg==|https://frl.publisso.de/adhoc/uri/UGV0ZXJzLCBKw7xyZ2Vu|https://frl.publisso.de/adhoc/uri/QWRhbXppaywgTWljaGFlbA==|https://frl.publisso.de/adhoc/uri/RHVzc2UsIEZhYmlhbg==|https://orcid.org/0000-0002-7039-6288
1000 Hinweis
  • DeepGreen-ID: 25dce2df97884f9d9cc0ea5cf47aa108 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. Universitätsklinikum Knappschaftskrankenhaus Bochum GmbH |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Universitätsklinikum Knappschaftskrankenhaus Bochum GmbH |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6492118.rdf
1000 Erstellt am 2025-02-03T16:44:00.327+0100
1000 Erstellt von 322
1000 beschreibt frl:6492118
1000 Zuletzt bearbeitet 2025-08-05T07:18:32.431+0200
1000 Objekt bearb. Tue Aug 05 07:18:32 CEST 2025
1000 Vgl. frl:6492118
1000 Oai Id
  1. oai:frl.publisso.de:frl:6492118 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source