Infection and Predictors of Outcome of Cirrhotic Patients after Emergency Care Hospital Admission

• Published in: Annals of hepatology Vol. 17; no. 6; pp. 948 - 10
• Main Authors: Safi, Wajima, Elnegouly, Mayada, Schellnegger, Raphael, Umgelter, Katrin, Geisler, Fabian, Reindl, Wolfgang, Saugel, Bernd, Hapfelmeier, Alexander, Umgelter, Andreas
• Format: Journal Article
• Language: English
• Published: Mexico 01-11-2018
• Subjects: Infection; Cirrhosis; Emergency care; Prognostication; Akaike Information Criterion
• ISSN: 1665-2681
• DOI: 10.5604/01.3001.0012.2230

We aimed to explore the impact of infection diagnosed upon admission and of other clinical baseline parameters on mortality of cirrhotic patients with emergency admissions.
We performed a prospective observational monocentric study in a tertiary care center. The association of clinical parameters and established scoring systems with short-term mortality up to 90 days was assessed by univariate and multivariable Cox regression analysis. Akaike's Information Criterion (AIC) was used for automated variable selection. Statistical interaction effects with infection were also taken into account.
218 patients were included. 71.2% were male, mean age was 61.1 ± 10.5 years. Mean MELD score was 16.2 ± 6.5, CLIF-consortium Acute on Chronic Liver Failure-score was 34 ± 11. At 28, 90 and 365 days, 9.6%, 26.0% and 40.6% of patients had died, respectively. In multivariable analysis, respiratory organ failure [Hazard Ratio (HR) = 0.15], albumin substitution (HR = 2.48), non-HCC-malignancy (HR = 4.93), CLIF-C-ACLF (HR = 1.10), HCC (HR = 3.70) and first episode of ascites (HR = 0.11) were significantly associated with 90-day mortality. Patients with infection had a significantly higher 90-day mortality (36.3 vs. 20.1%, p = 0.007). Cultures were positive in 32 patients with resistance to cephalosporins or quinolones in 10, to ampicillin/sulbactam in 14 and carbapenems in 6 patients.
Infection is common in cirrhotic ED admissions and increases mortality. The proportion of resistant microorganisms is high. The predictive capacity of established scoring systems in this setting was low to moderate.