Large retrospective study analysing predictive factors of primary treatment failure, recurrence and death in pyogenic liver abscesses

• DOI: 10.1007/s15010-022-01793-z
• Publication Date: 2022-03-22T15:12:32Z
• Authors: Geoffrey Rossi; Yann Nguyen; Emmanuel Lafont; Benjamin Rossi; Etienne Canouï; Olivier Roux; Safi Dokmak; Frédéric Bert; Bruno Fantin; Agnès Lefort
• Keywords: 03 medical and health sciences; 0302 clinical medicine; Liver Abscess, Pyogenic; Cholangitis; Risk Factors; Humans; Thrombosis; Treatment Failure; Enterococcus; Retrospective Studies; 3. Good health

Pyogenic liver abscess (PLA) is a severe disease, which unfavourable evolution remains frequent. Our objective was to assess predictive factors of unfavourable outcome in patients with PLA.We conducted a retrospective study in a French tertiary care centre. All patients admitted for PLA between 2010 and 2018 were included. Unfavourable course was defined as the occurrence of a primary treatment failure (PTF), recurrence of PLA after an initial cure, or death within 3 months after diagnosis. Hazard ratios (95% CI) were calculated with multivariable Cox proportional hazard models.302 patients were included among which 91 (30.1%) patients had an unfavourable outcome because of PTF, recurrence or death in 55 (18.2%), 28 (9.2%) and 32 (10.6%) patients, respectively. Hepatic metastases (HR 2.08; 95% CI 1.04-4.15), a nosocomial infection (2.25; 1.14-4.42), portal thrombosis (2.12; 1.14-3.93), and the isolation of Enterococcus spp. (2.18; 1.22- 3.90) were independently associated with PTF. Ischemic cholangitis (6.30; 2.70-14.70) and the isolation of Streptococcus spp. (3.72; 1.36-10.16) were associated with the risk of recurrence. Charlson comorbidity index (HR 1.30 per one point; 95% CI 1.15-1.46; p < 0.001), portal thrombosis (3.53; 1.65-7.56) and the presence of multi-drug-resistant organisms (3.81; 1.73-8.40) were associated with mortality within 3 months following PLA diagnosis. PLA drainage was the only factor associated with a lower mortality (0.14; 0.06-0.34).Identification of specific risk factors may help to improve the management of PLA and to elaborate targeted recommendations according to patient's and disease's characteristics.