Navigation überspringen
Universitätsbibliothek Heidelberg
Standort: ---
Exemplare: ---
heiBIB
 Online-Ressource
Verfasst von:Nußhag, Christian [VerfasserIn]   i
 Theobald, Vivienne [VerfasserIn]   i
 Wortmann, Markus [VerfasserIn]   i
 Kaimann, Philipp [VerfasserIn]   i
 Dietrich, Maximilian [VerfasserIn]   i
 Gruneberg, Daniel [VerfasserIn]   i
 Tourelle, Kevin M. [VerfasserIn]   i
 Forst, Maik von der [VerfasserIn]   i
 Weigand, Markus A. [VerfasserIn]   i
 Bischoff, Moritz [VerfasserIn]   i
 Böckler, Dittmar [VerfasserIn]   i
 Schmitt, Felix [VerfasserIn]   i
Titel:Biomarker-guided detection of acute kidney injury in abdominal aortic surgery
Titelzusatz:the new and the old
Verf.angabe:Christian Nusshag, Vivienne Theobald, Markus Wortmann, Philipp Kaimann, Maximilian Dietrich, Daniel Gruneberg, Kevin Tourelle, Maik von der Forst, Markus A. Weigand, Moritz S. Bischoff, Dittmar Böckler and Felix C.F. Schmitt
E-Jahr:2024
Jahr:03 July 2024
Umfang:10 S.
Fussnoten:Gesehen am 11.11.2024
Titel Quelle:Enthalten in: Frontiers in medicine
Ort Quelle:Lausanne : Frontiers Media, 2014
Jahr Quelle:2024
Band/Heft Quelle:11(2024) vom: 3. Juli, Artikel-ID 1386018, Seite 1-10
ISSN Quelle:2296-858X
Abstract:Introduction: Acute kidney injury (AKI) is a common complication in patients undergoing major vascular surgery. Despite significant research efforts in this area, the incidence of AKI remains high, posing a significant challenge to healthcare systems, especially in situations where resources are limited. Early prediction of AKI severity and individualized postoperative care is therefore essential. Methods: The primary objective of this exploratory study was to assess the diagnostic value of urine cell-cycle arrest biomarkers [(TIMP-2) × (IGFBP7)] and soluble urokinase plasminogen activator receptor (suPAR) for predicting moderate or severe AKI within 24 h after open aortic surgery, and compared to routine kidney biomarkers. Seventy-five patients undergoing elective aortic surgery were included. Clinical parameters, urine and blood samples were collected preoperatively, immediately postoperatively, and 24 h later. AKI was defined using KDIGO criteria. Individual and combined diagnostic performance of biomarkers were evaluated. Results: Of the 75 patients, 61% developed AKI, of which 28% developed moderate or severe AKI within 24 h of surgery. Baseline demographics, comorbidities and kidney parameters did not differ between patients with moderate or severe AKI (AKI II/III) and none or mild AKI (AKI 0/I), except for higher preoperative suPAR levels in later AKI II/III patients. Urine osmolality, Cystatin C and serum creatinine had the highest predictive power for AKI II/III with AUCs of 0.75-0.72. (TIMP-2) × (IGFBP7), and neither (TIMP-2) × (IGFBP7) nor suPAR individually showed superior diagnostic value. Combining CysC or SCr with urine osmolality and 6 h urine output gave the best performance with AUCs of 0.86 (95% CI, 0.74-0.96) and 0.85 (95% CI, 0.75-0.95) respectively. Conclusion: Our study suggests that routine parameters like urine osmolality, CysC, SCr and 6 h urine output perform best in predicting postoperative AKI after aortic surgery compared to the new biomarkers (TIMP-2) × (IGFBP7) and suPAR. Combining biomarkers, particularly CysC or SCr with urine output, urine osmolality, may enhance diagnostic accuracy. Further validation in larger cohorts and clinical settings is warranted to establish their clinical utility.
DOI:doi:10.3389/fmed.2024.1386018
URL:kostenfrei: Volltext: https://doi.org/10.3389/fmed.2024.1386018
 kostenfrei: Volltext: https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2024.1386018/full
 DOI: https://doi.org/10.3389/fmed.2024.1386018
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Acute Kidney Injury
 aortic sugery
 biomarkers
 cell cycle arrest
 intensive care medicine
 soluble urokinase plasminogen activator receptor
K10plus-PPN:1908220007
Verknüpfungen:→ Zeitschrift
 
 
Lokale URL UB: Zum Volltext

Permanenter Link auf diesen Titel (bookmarkfähig):  https://katalog.ub.uni-heidelberg.de/titel/69272373   QR-Code
zum Seitenanfang