Liver failure after delivery

CT-based radiomics for predicting pathological grade in hepatocellular carcinoma

Objective

To construct and validate radiomics models for hepatocellular carcinoma (HCC) grade predictions based on contrast-enhanced CT (CECT).

Methods

Patients with pathologically confirmed HCC after surgery and underwent CECT at our institution between January 2016 and December 2020 were enrolled and randomly divided into training and validation datasets. With tumor segmentation and feature extraction, radiomic models were constructed using univariate analysis, followed by least absolute shrinkage and selection operator (LASSO) regression. In addition, combined models with clinical factors and radiomics scores (Radscore) were constructed using logistic regression. Finally, all models were evaluated using the receiver operating characteristic (ROC) curve with the area under the curve (AUC), calibration curve, and decision curve analysis (DCA).

Results

In total 242 patients were enrolled in this study, of whom 170 and 72 formed the training and validation datasets, respectively. The arterial phase and portal venous phase (AP+VP) radiomics model were evaluated as the best for predicting HCC pathological grade among all the models built in our study (AUC = 0.981 in the training dataset; AUC = 0.842 in the validation dataset) and was used to build a nomogram. Furthermore, the calibration curve and DCA indicated that the AP+VP radiomics model had a satisfactory prediction efficiency.

Conclusions

Low- and high-grade HCC can be distinguished with good diagnostic performance using a CECT-based radiomics model.

Acute liver failure in Budd-Chiari syndrome and a model to predict mortality

BACKGROUND AND OBJECTIVE

Acute liver failure (ALF) occurs in approximately 1-2% of patients with Budd-Chiari syndrome (BCS). The primary objective of our study was to study the outcome of patients with BCS-ALF using the National Inpatient Sample (NIS) database and develop a mortality prediction model.

DESIGN

We identified all adult patients with BCS, with and without ALF, using ICD-9 or ICD-10. Using clinical variables, we identified risk factors for in-hospital mortality and developed a prediction model using logistic regression analysis. The model was built and validated in a training and validation datasets.

RESULTS

Between 2008 and 2017, of the estimated total of 5,306 (weighted sample size 26,110) BCS discharges, 325 (6.1%) patients (weighted sample size 1,598) presented with ALF. Of 325 BCS-ALF patients, 114 (34.7%, weighted n = 554) died and in contrast only 267 of 4,981 (5%, weighted n = 1310) without ALF died during the hospitalization. The independent risk factors that predicted mortality were age 50 years or older, acute respiratory failure, spontaneous bacterial peritonitis, sepsis and cancers. The prediction model that incorporated these risk factors had an area under the receiver operating characteristic curve (AUROC) of 0.85 (95% CI 0.80-0.90) for training data and 0.80 (95% CI 0.71-0.89) for validation data. The predicted mortality risk with low (score < 6), intermediate (score 6-16), and high risk (score ≥ 17) scores were 8%, 37% and 71%, respectively.

CONCLUSION

ALF due to BCS is associated with a very high in-hospital mortality that could be predicted with reasonable accuracy.

Budd-chiari syndrome causing acute liver failure: A multicenter case series

Budd-Chiari syndrome (BCS) is a rare disease resulting from obstruction of the hepatic venous outflow tract that typically presents with abdominal pain, jaundice, and ascites without frank liver failure. However, BCS may also evolve more rapidly to acute liver failure (ALF). In this study, we describe the clinical features, treatment, and outcomes of ALF due to BCS and compare our results with those in the published literature. Twenty of the 2344 patients enrolled in the Acute Liver Failure Study Group (ALFSG) registry since 1998 presented with a clinical diagnosis of BCS. An additional 19 patients of ALF-BCS in the English language literature were reviewed and compared with the ALFSG cases. Most ALF-BCS patients were white (84%) and female (84%) in their fourth decade. A hypercoagulable state was noted in 63% of patients. BCS was diagnosed by Doppler ultrasonography or abdominal computed tomography in all patients. Liver biopsies (n = 6) all had evidence of severe pericentral necrosis. Treatments used included most commonly anticoagulation (71%), but also transjugular intrahepatic portosystemic shunt (TIPS; 37%) and orthotopic liver transplantation (37%). In-hospital mortality was approximately 60%. In conclusion, BCS is a rare cause of ALF and mandates prompt diagnosis and management for successful outcomes. Once the diagnosis is confirmed, prompt anticoagulation is recommended in conjunction with evaluation for malignancy or thrombophilic disorder. Mortality may have improved in recent years with use of TIPS and/or orthotopic liver transplantation compared with prior published reports. Liver Transplantation 23 135-142 2017 AASLD.