Microbiological landscape of pyogenic liver abscesses

Purpose of the study. To study the features of the microbial landscape of AP at different stages of their formation. Materials and methods. The results of examination and treatment of 80 patients with pyogenic liver abscesses for the period 2019–2020 were analyzed. The average age of patients was 48...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Сучасні медичні технологіЈі 2021-09 (3), p.9-12
Hauptverfasser: Novak, V. V., Yareshko, V. G., Shapoval, S. D.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Purpose of the study. To study the features of the microbial landscape of AP at different stages of their formation. Materials and methods. The results of examination and treatment of 80 patients with pyogenic liver abscesses for the period 2019–2020 were analyzed. The average age of patients was 48,4 ± 4,7 years. The duration of the disease at the time of hospitalization averaged 10,2 ± 3,4 days. The condition of all patients was assessed as moderate and severe, hospitalization was carried out on urgent indications. The inclusion criterion was the presence of pyogenic liver abscesses, the exclusion criteria were cholangiogenic and specific abscesses. Microbiological studies of the species composition of pathogens and their sensitivity to antibiotics were performed in all patients during surgery and in the dynamics of the postoperative period. Results. The microbial landscape of pyogenic abscesses in their different stages of formation differed both in quantitative and qualitative ratio. Seeding of aerobic monoinfection from purulent foci in stage I was predominant (P 0,05). There have been cases of seeding of facultative anaerobes of the genus Peptostreptococcacea and facultative anaerobic bacteria of the genus Clostridium. Conclusion. Carrying out of adequate combined ABT to patients with AP according to the developed algorithms, allowed to reduce terms of recovery of patients: for 3–4 days normalization of body temperature (t = 5,66176; P
ISSN:2072-9367
DOI:10.34287/MMT.3(50).2021.2