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Verfasst von:Leinweber, Maria-E. [VerfasserIn]   i
 Schmandra, Thomas [VerfasserIn]   i
 Karl, Thomas [VerfasserIn]   i
 Torsello, Giovanni [VerfasserIn]   i
 Böckler, Dittmar [VerfasserIn]   i
 Walensi, Mikolaj [VerfasserIn]   i
 Geisbuesch, Phillip [VerfasserIn]   i
 Schmitz-Rixen, Thomas [VerfasserIn]   i
 Jung, Georg [VerfasserIn]   i
 Hofmann, Amun Georg [VerfasserIn]   i
Titel:Deciphering popliteal artery aneurysm patient diversity
Titelzusatz:insights from a cluster analysis of the POPART registry
Verf.angabe:Maria Elisabeth Leinweber , MD, Thomas Schmandra , MD, PhD, Thomas Karl , MD, Giovanni Torsello, MD, PhD, Dittmar Böckler , MD, PhD, Mikolaj Walensi , MD, Phillip Geisbuesch, MD, PhD, Thomas Schmitz-Rixen, MD, PhD, Georg Jung , MD, Amun Georg Hofmann , MD, on behalf of the POPART Registry collaborators*
E-Jahr:2024
Jahr:15 June 2024
Umfang:9 S.
Fussnoten:Gesehen am 10.02.2025
Titel Quelle:Enthalten in: American Heart AssociationJournal of the American Heart Association
Ort Quelle:New York, NY : Association, 2012
Jahr Quelle:2024
Band/Heft Quelle:13(2024), 12 vom: Juni, Artikel-ID e034429, Seite 1-9
ISSN Quelle:2047-9980
Abstract:BACKGROUND: Popliteal artery aneurysms (PAAs) are the most common peripheral aneurysm. However, due to its rarity, the cumulative body of evidence regarding patient patterns, treatment strategies, and perioperative outcomes is limited. This analysis aims to investigate distinct phenotypical patient profiles and associated treatment and outcomes in patients with a PAA by performing an unsupervised clustering analysis of the POPART (Practice of Popliteal Artery Aneurysm Repair and Therapy) registry. - METHODS AND RESULTS: A cluster analysis (using k-means clustering) was performed on data obtained from the multicenter POPART registry (42 centers from Germany and Luxembourg). Sensitivity analyses were conducted to explore validity and stability. Using 2 clusters, patients were primarily separated by the absence or presence of clinical symptoms. Within the cluster of symptomatic patients, the main difference between patients with acute limb ischemia presentation and nonemergency symptomatic patients was PAA diameter. When using 6 clusters, patients were primarily grouped by comorbidities, with patients with acute limb ischemia forming a separate cluster. Despite markedly different risk profiles, perioperative complication rates appeared to be positively associated with the proportion of emergency patients. However, clusters with a higher proportion of patients having any symptoms before treatment experienced a lower rate of perioperative complications. - CONCLUSIONS: The conducted analyses revealed both an insight to the public health reality of PAA care as well as patients with PAA at elevated risk for adverse outcomes. This analysis suggests that the preoperative clinic is a far more crucial adjunct to the patient's preoperative risk assessment than the patient's epidemiological profile by itself.
DOI:doi:10.1161/JAHA.124.034429
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.1161/JAHA.124.034429
 DOI: https://doi.org/10.1161/JAHA.124.034429
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Aged
 Aged, 80 and over
 Aneurysm
 cluster analysis
 Cluster Analysis
 Endovascular Procedures
 Female
 Germany
 Humans
 Male
 Middle Aged
 outcomes
 peripheral aneurysm
 phenomapping
 Popliteal Artery
 popliteal artery aneurysm
 Popliteal Artery Aneurysm
 Postoperative Complications
 Registries
 Risk Assessment
 Risk Factors
 Treatment Outcome
K10plus-PPN:1916804543
Verknüpfungen:→ Zeitschrift

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