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1.
J Hepatol ; 2024 Mar 11.
Artigo em Inglês | MEDLINE | ID: mdl-38479614

RESUMO

BACKGROUND AND AIMS: The management of acute kidney injury (AKI) in cirrhosis is challenging. The EASL guidelines proposed an algorithm, but this has never been validated. We aimed to prospectively evaluate this algorithm in clinical practice. METHODS: Prospective cohort study of consecutive hospitalized patients with cirrhosis and AKI. EASL management algorithm includes identification/treatment of precipitating factors, 2-day albumin infusion in patients with AKI ≥ stage 1B, and treatment with terlipressin in patients with hepatorenal syndrome (HRS-AKI). Primary outcome was treatment response, which included both full and partial response. Secondary outcomes were survival and adverse events associated with terlipressin therapy. RESULTS: A total of 202 AKI episodes in 139 patients were included. Overall treatment response was 80%, while renal replacement therapy was required in only 8%. Response to albumin infusion was achieved in 1/3 of episodes. Of patients not responding to albumin, most (74%) did not meet the diagnostic criteria of HRS-AKI, with ATN being the most common phenotype. Response rate in patients not meeting criteria of HRS-AKI was 70%. Only 30 patients met the diagnostic criteria HRS-AKI, and response rate to terlipressin was 61%. Median time from AKI diagnosis to terlipressin initiation was only 2.5 days. While urinary neutrophil gelatinase-associated lipocalin (uNGAL) could differentiate acute tubular necrosis (ATN) vs other phenotypes (AUROC 0.78), it did not predict response to therapy in HRS-AKI. Ninety-day transplant-free survival was negatively associated with MELD-Na, ATN and HRS-AKI as well as uNGAL. Three patients treated with terlipressin developed pulmonary edema. CONCLUSIONS: The application of the EASL AKI algorithm is associated with very good response rates and does not significantly delay initiation of terlipressin therapy.

2.
Gut ; 73(1): 156-165, 2023 Dec 07.
Artigo em Inglês | MEDLINE | ID: mdl-37884354

RESUMO

BACKGROUND: Patients with decompensated cirrhosis experience high mortality rates. Current prognostic scores, including the model for end-stage liver disease (MELD), may underperform in settings other than in those they were initially developed. Novel biomarkers have been proposed to improve prognostication accuracy and even to predict development of complications. METHODS: We performed a systematic review and meta-analysis on novel urine and blood biomarkers and their ability to predict 90-day mortality in patients with decompensated cirrhosis. Secondary outcomes included 28-day and 1-year mortality, and development of acute-on-chronic liver failure, acute kidney injury and other complications. To overcome differences in units, temporal changes in assays and reporting heterogeneity, we used the ratio of means (RoM) as measure of association for assessing strength in predicting outcomes. An RoM>1 implies that the mean biomarker level is higher in those that develop the outcome than in those that do not. RESULTS: Of 6629 unique references, 103 were included, reporting on 29 different biomarkers, with a total of 31 362 biomarker patients. Most studies were prospective cohorts of hospitalised patients (median Child-Pugh-Turcotte score of 9 and MELD score of 18). The pooled 90-day mortality rate was 0.27 (95% CI 0.24 to 0.29). The RoM for predicting 90-day mortality was highest for interleukin 6 (IL-6) (2.56, 95% CI 2.39 to 2.74), followed by urinary neutrophil gelatinase-associated lipocalin (uNGAL) (2.42, 95% CI 2.20 to 2.66) and copeptin (2.33, 95% CI 2.17 to 2.50). These RoMs were all higher than for MELD (1.44, 95% CI 1.42 to 1.46). CONCLUSION: Novel biomarkers, including IL-6, uNGAL and copeptin, can probably improve prognostication of patients with decompensated cirrhosis compared with MELD alone.


Assuntos
Doença Hepática Terminal , Cirrose Hepática , Humanos , Prognóstico , Estudos Prospectivos , Cirrose Hepática/complicações , Interleucina-6 , Índice de Gravidade de Doença , Biomarcadores
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