Spectrum of Neuroimaging Abnormalities in Brain in Patients of Acute-on-Chronic Liver Failure

Background and aims

Acute-on-chronic liver failure (ACLF) is associated with high short-term mortality. There is a paucity of data about the spectrum of neuroimaging abnormalities in the brain in ACLF patients. The present study was aimed to study the prevalence of cerebral edema and other parenchymal changes in MR imaging of the brain in patients with ACLF.

Methods

In this prospective observational study, MR imaging was done in patients with ACLF (n = 41), and findings were compared with age and sex-matched patients with acute decompensation (AD) (n = 13) and those with cirrhosis but without any decompensation at recruitment (n = 21).

Results

Forty-one patients with ACLF (24.4% Grade 1 and Grade 2, 51.2% Grade 3) with 14 (34.1%) having cerebral failure were included in the study. T2-weighted (T2W) diffuse white matter hyperintensities (WMHs) and focal WMHs were seen in 17 (41.4%) and 7 (17%) patients, respectively. T1W basal ganglia hyperintensities in 20 (48.7%), cerebral microbleeds (CMBs) in 6 (14.6%), and 2 (4.8%) patients had cerebral edema. In patients with AD, T2W diffuse WMHs were seen in 3 (23%), T2W focal WMHs in 3 (23%) patients. None of the patients with AD had cerebral edema or CMBs. In compensated cirrhosis patients, T2W diffuse WMHs were present in 7 (33.3%), T2W focal WMHs in 5 (23.8%), while 3 (14.2%) patients had CMBs. T1 weighted hyperintensities in basal ganglia were more common in AD [9 (69.2%)] and compensated cirrhosis [15 (71.4%)] as compared to ACLF patients [20 (48.7%)], P = 0.174. The survival time of 30 and 90 days for patients with diffuse T2W WMHs was significantly lesser than patients without T2W WMHs (P = 0.007).

Conclusion

Cerebral edema is uncommon in ACLF patients, and T2-weighted diffuse white matter hyperintensities may be associated with worse outcomes. However, due to the limited scope of the present study, the same needs to be explored further in larger cohorts.

Development and validation of a dynamic survival prediction model for patients with acute-on-chronic liver failure

Background & Aims

Acute-on-chronic liver failure (ACLF) is usually associated with a precipitating event and results in the failure of other organ systems and high short-term mortality. Current prediction models fail to adequately estimate prognosis and need for liver transplantation (LT) in ACLF. This study develops and validates a dynamic prediction model for patients with ACLF that uses both longitudinal and survival data.

Methods

Adult patients on the UNOS waitlist for LT between 11.01.2016-31.12.2019 were included. Repeated model for end-stage liver disease-sodium (MELD-Na) measurements were jointly modelled with Cox survival analysis to develop the ACLF joint model (ACLF-JM). Model validation was carried out using separate testing data with area under curve (AUC) and prediction errors. An online ACLF-JM tool was created for clinical application.

Results

In total, 30,533 patients were included. ACLF grade 1 to 3 was present in 16.4%, 10.4% and 6.2% of patients, respectively. The ACLF-JM predicted survival significantly (p <0.001) better than the MELD-Na score, both at baseline and during follow-up. For 28- and 90-day predictions, ACLF-JM AUCs ranged between 0.840-0.871 and 0.833-875, respectively. Compared to MELD-Na, AUCs and prediction errors were improved by 23.1%-62.0% and 5%-37.6% respectively. Also, the ACLF-JM could have prioritized patients with relatively low MELD-Na scores but with a 4-fold higher rate of waiting list mortality.

Conclusions

The ACLF-JM dynamically predicts outcome based on current and past disease severity. Prediction performance is excellent over time, even in patients with ACLF-3. Therefore, the ACLF-JM could be used as a clinical tool in the evaluation of prognosis and treatment in patients with ACLF.

Lay summary

Acute-on-chronic liver failure (ACLF) progresses rapidly and often leads to death. Liver transplantation is used as a treatment and the sickest patients are treated first. In this study, we develop a model that predicts survival in ACLF and we show that the newly developed model performs better than the currently used model for ranking patients on the liver transplant waiting list.

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ACLF is a dynamic disease that can rapidly change over time, which greatly influences patient survival without LT.

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Currently, the MELD-Na score is used to prioritize patients for LT, but MELD-Na underestimates ACLF disease severity.

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The ACLF joint model (ACLF-JM) was developed to dynamically predict survival.

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The ACLF-JM significantly outperformed the MELD-Na score for the prediction of mortality on the LT waiting list.

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The ACLF-JM can be used online to predict survival in individual patients.

Approach to the patient with acute severe autoimmune hepatitis

Autoimmune hepatitis is associated with varied clinical presentations and natural history, as well as somewhat unpredictable treatment responses. Understanding how to stratify patients who require further escalation of therapy will help clinicians manage these patients. The presentation of acute severe autoimmune hepatitis (AS-AIH) is relatively uncommon, although its prevalence is potentially greater than currently perceived. Previous studies consist of small retrospective single-centre series and are not directly comparable due to the diversity of presentations, disease definitions and non-standardised treatment regimens. We define AS-AIH as those who present acutely with AIH and are icteric with an international normalised ratio ≥1.5 and no evidence of hepatic encephalopathy. Those with hepatic encephalopathy should be defined as having AS-AIH with acute liver failure. In this review, we provide a structured practical approach for diagnosing and managing this unique group of patients.

Granulocyte Colony-Stimulating Factor Use in Decompensated Cirrhosis: Lack of Survival Benefit

BACKGROUND

Granulocyte colony-stimulating factor (GCSF) has been utilized in decompensated cirrhosis (DC) for improving transplant-free survival (TFS). Data from multiple centers are conflicting with regard to patient outcomes. In this retrospective study, we present our 'real-world experience' of GCSF use in a large group of DC.

METHODS

From September 2016 to September 2018, 1231 patients with cirrhosis were screened, of which 754 were found to have decompensation(s). Seventy-three patients with active ascites, jaundice, or both completed GCSF treatment (10 mcg/kg per day for 5 days, followed by 5 mcg/kg/day once every third day for total 12 doses). Per-protocol analysis (n = 56) was performed to study clinical events, liver disease severity, and outcomes at 3, 6, and 12 months after treatment. Modified intention-to-treat (mITT, n = 100) analysis was performed to study overall survival at 180 days. Outcomes were compared with a matched historical control (HC) group (n = 24).

RESULTS

Nine (16%, n = 56), 24 (43%, n = 56), and 36 (75%, n = 48) patients died at 3, 6, and 12-month follow-up after GCSF. The commonest cause of death was sepsis (53%) followed by progressive liver failure (33%). Nine percent of patients developed hepatocellular carcinoma on follow-up at the end of 1 year. Acute variceal bleeds, overt hepatic encephalopathy, intensive unit admissions, and liver disease severity scores were higher after treatment at the end of 1 year. The Child-Pugh score >11 and model for end-stage liver disease-sodium score >25 and > 20 predicted worse outcomes at all time points and at 6 and 12 months after GCSF, respectively. Compared to a matched HC group, patients receiving GCSF had higher mortality (75% vs 46%, P = 0.04) at one year. mITT analysis revealed poor overall survival at 6 months compared to HCs (48% vs 75%, P = 0.04).

CONCLUSION

Survival in DC was shorter than what was expected in the natural history of the disease after GCSF use.