Literature DB >> 26470868

SIRS at Admission Is a Predictor of AKI Development and Mortality in Hospitalized Patients with Severe Alcoholic Hepatitis.

R Maiwall1, S S Chandel1, Z Wani1, S Kumar2, S K Sarin3.   

Abstract

BACKGROUND: Systemic inflammatory response syndrome (SIRS) is associated with an increased risk of hepatic encephalopathy, renal failure, and poor outcome in patients with cirrhosis; however, there is a paucity of studies on this entity for severe alcoholic hepatitis (SAH). AIM: To evaluate SIRS at baseline as a predictor of development of acute kidney injury (AKI) and mortality in patients with SAH.
METHODS: Consecutive in-patients with SAH (discriminant function ≥ 32) without AKI at baseline were followed up for the development and progression of AKI (AKIN criteria).
RESULTS: Of the 365 patients (mean age 45.5 ± 9.5, 356 males), SIRS at baseline was present in 236 (64.6%). AKI developed in 122 (33.4%), of which 50 (40.9%) had progression of AKI. SIRS was associated with bacterial infections in 96 (40.6%) and in 140 (59.3%) occurred in the absence of proven infection microbiologically. The presence of SIRS predicted both AKI development (p < 0.001, OR 2.9, 95% CI 1.7-4.8) and AKI progression (p = 0.002, OR 3.27, 95% CI 1.48-7.21). Resolution of AKI also had a significant inverse association with SIRS (p = 0.001). High MELD score (p = 0.002, HR 1.1, 95% CI 1.02-1.09), in-hospital progression of AKI (p = 0.04, HR 1.54, 95% CI 1.003-2.38), and SIRS (p = 0.004, HR 1.98, 95% CI 1.25-3.1) were significant predictors of 90-day mortality (model 1), while high MELD score (p < 0.001, HR 1.1, 95% CI 1.04-1.12) and bacterial infections (p = 0.001, HR 1.8, 95% CI 1.27-2.6) were independent predictors of mortality in the second multivariate model (model 2).
CONCLUSION: SIRS at admission predicts both the development of AKI and 90-day mortality in patients with SAH. This could definitely have a therapeutic and prognostic implication.

Entities:  

Keywords:  AKI; AKI progression; SIRS; Severe alcoholic hepatitis

Mesh:

Year:  2015        PMID: 26470868     DOI: 10.1007/s10620-015-3921-4

Source DB:  PubMed          Journal:  Dig Dis Sci        ISSN: 0163-2116            Impact factor:   3.199


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