A model based on two-dimensional shear wave elastography for acute-on-chronic liver failure development in patients with acutely decompensated hepatitis B cirrhosis

Construction and Application of Patient-Participated Health Care Guidance Plan for Patients with Decompensated Hepatitis B Cirrhosis

Objective

The goal of this study was to develop and assess the effectiveness of a patient-engaged healthcare guidance plan for individuals with decompensated hepatitis B cirrhosis.

Methods

This study employed literature review, situational analysis, and expert consultations to create a healthcare guidance plan that includes patient participation for those suffering from decompensated hepatitis B cirrhosis. Between January 2022 and January 2023, 86 patients with this condition admitted to our hospital were selected through convenience sampling and randomly assigned into two groups using a random number table. The control group (n=43) received standard care, while the intervention group (n=43) received the novel patient-engaged healthcare guidance in addition to standard care. We compared both groups in terms of anxiety and depression levels, self-care capability, uncertainty about their illness, and overall quality of life.

Results

Upon discharge, scores for the Self-Rating Anxiety Scale (SAS), Self-Rating Depression Scale (SDS), and Mishel's Uncertainty in Illness Scale (MUIS) decreased in both groups compared to their scores at admission (P<0.05), with the intervention group showing more significant improvements than the control group (P<0.05). Additionally, scores for the Self-Care Ability Scale (ESCA) and the component threshold scores of the Health Survey Short Form (SF-36) increased for both groups from admission to discharge (P<0.05), with the intervention group showing greater improvements than the control group (P<0.05).

Conclusion

The patient-engaged healthcare guidance plan developed for individuals with decompensated hepatitis B cirrhosis proved to be highly effective. It significantly reduced patient anxiety and depression, enhanced self-care capabilities, diminished illness uncertainty, and improved overall quality of life.

Shear wave elastography-based deep learning model for prognosis of patients with acutely decompensated cirrhosis

PURPOSE

This study aimed to develop and validate a deep learning model based on two-dimensional (2D) shear wave elastography (SWE) for predicting prognosis in patients with acutely decompensated cirrhosis.

METHODS

We prospectively enrolled 288 acutely decompensated cirrhosis patients with a minimum 1-year follow-up, divided into a training cohort (202 patients, 1010 2D SWE images) and a test cohort (86 patients, 430 2D SWE images). Using transfer learning by Resnet-50 to analyze 2D SWE images, a SWE-based deep learning signature (DLswe) was developed for 1-year mortality prediction. A combined nomogram was established by incorporating deep learning SWE information and laboratory data through a multivariate Cox regression analysis. The performance of the nomogram was evaluated with respect to predictive discrimination, calibration, and clinical usefulness in the training and test cohorts.

RESULTS

The C-index for DLswe was 0.748 (95% CI 0.666-0.829) and 0.744 (95% CI 0.623-0.864) in the training and test cohorts, respectively. The combined nomogram significantly improved the C-index, accuracy, sensitivity, and specificity of DLswe to 0.823 (95% CI 0.763-0.883), 86%, 75%, and 89% in the training cohort, and 0.808 (95% CI 0.707-0.909), 83%, 74%, and 85% in the test cohort (both p < 0.05). Calibration curves demonstrated good calibration of the combined nomogram. Decision curve analysis indicated that the nomogram was clinically valuable.

CONCLUSIONS

The 2D SWE-based deep learning model holds promise as a noninvasive tool to capture valuable prognostic information, thereby improving outcome prediction in patients with acutely decompensated cirrhosis.

Two-dimensional shear wave elastography utilized in patients with ascites: a more reliable method than transient elastography for noninvasively detecting the liver stiffness-an original study with 170 patients

Background

Two dimensional shear wave elastography (2D-SWE) is an ultrasound elastography technique based on shear waves implemented on a diagnostic ultrasound system. Transient elastography (TE) uses an ultrasound displacement M-mode and A-mode image produced by the system. So, TE mechanically induced impulse at tissue surface and difficultly across water. This paper compared the reliability and reproducibility of 2D-SWE with that of TE in patients with chronic hepatic disease. Comparisons were made in terms of the success rate, reliability, reproducibility, operation time, and influence of operator experience.

Methods

A total of 170 patients were included in this study. Participants underwent 2D-SWE and TE performed by 2 different operators (a novice and veteran) on the same day. Nonparametric statistical tests were used to compare the technical success rate and reliable measurement rate, and inter-operator reproducibility was evaluated using intra-class correlation coefficients (ICCs).

Results

The 2D-SWE technique showed a higher technical success rate than TE. Either 2D-SWE or TE can be utilized in patients with ascites lamella of less than 10 mm or ascites lamella plus skin-capsular distance of less than 25 mm. However, although the reliability rate of liver stiffness measurement with 2D-SWE did not significantly differ between the novice and veteran operators, for TE, there was a significant difference when body mass index (BMI) ≤25 kg/m². When performed by the novice and veteran operators, 2D-SWE and TE both showed excellent inter-operator agreement, with ICCs of 0.968 and 0.973, respectively. Both 2D-SWE and TE displayed reliable measurement and excellent reproducibility in patients with chronic liver disease, were minimally influenced by operator experience.

Conclusions

2D-SWE may be a more reliable method for clinical application in noninvasive detecting the liver stiffness.

Research progress on short-term prognosis of acute-on-chronic liver failure

INTRODUCTION

Acute-on-chronic liver failure (ACLF) is a clinical syndrome characterized as a severe condition with rapid progression, poor therapeutic response and poor prognosis. Early and timely evaluation of the prognosis is helpful for providing appropriate clinical intervention and prolonging patient survival.

AREAS COVERED

Currently, there are no specific dynamic and comprehensive approaches to assess the prognosis of patients with ACLF. This article reviews the progress in evaluating the short-term prognosis of ACLF to provide future directions for more dynamic prospective large-scale multicenter studies and a basis for individualized and precise treatment for ACLF patients. We searched PubMed and Web of Science with the term 'acute on chronic liver failure' and 'prognosis.' There was no date or language restriction, and our final search was on 26 October 2022.

EXPERT OPINION

ACLF is a dynamic process, and the best prognostic marker is the clinical evolution of organ failure over time. New prognostic markers are developing not only in the fields of genetics and histology but also toward diversification combined with imaging. Determining which patients will benefit from continued advanced life support is a formidable challenge, and accurate short-term prognostic assessments of ACLF are a good approach to addressing this issue.