JOURNAL ARTICLE

Antibiotic Consumption and Bloodstream Infections in Patients With Chronic-limb Threatening Ischemia Following Endovascular Therapy in East-west Germany, 2019–2020.

  • Published In: Angiology, 2026, v. 77, n. 3. P. 315 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Salm, Jonas; Hofbauer-Milan, Valeska; Wüstholz, Elisabeth; Schneider, Olaf; Westermann, Dirk; Zeller, Thomas 3 of 3

Abstract

This article examines the increased risk of systemic infections, specifically bloodstream infections (BSI), in patients with chronic-limb threatening ischemia (CLTI), the most advanced form of peripheral artery obstructive disease (PAOD), compared to PAOD patients without CLTI. Using administrative data from the German statutory health insurance AOK Baden-Wuerttemberg, the study found that CLTI patients (Rutherford-Becker categories 5 and 6) had a 3.9-fold higher risk of BSI and a 5.6-fold higher risk of Staphylococcus aureus BSI than those with less severe PAOD (RBC 1-4). Infection-related causes accounted for 7.7% of 30-day hospital readmissions following endovascular treatment (EVT) in CLTI patients. The study also identified that outpatient antibiotic prescriptions for infected ischemic ulcers frequently included aminopenicillins with β-lactamase inhibitors, clindamycin, and cefuroxime, with concerns raised about the appropriateness of clindamycin and cefuroxime use. These findings highlight the need for optimized antibiotic therapy and a comprehensive, interdisciplinary approach to managing infections in CLTI patients.

Additional Information

  • Source:Angiology. 2026/03, Vol. 77, Issue 3, p315
  • Document Type:Article
  • Subject Area:Consumer Health
  • Publication Date:2026
  • ISSN:0003-3197
  • DOI:10.1177/00033197251319600
  • Accession Number:191147492
  • Copyright Statement:Copyright of Angiology is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.