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Acute-on-chronic liver failure (ACLF) is a dynamic syndrome, and sequential assessments can reflect its prognosis more accurately. Our aim was to build and validate a new scoring system to predict short-term prognosis using baseline and dynamic data in ACLF. We conducted a retrospective cohort analysis of patients with ACLF from three different hospitals in China. To construct the model, we analyzed a training set of 541 patients from two hospitals. The model’s performance was evaluated in a validation set of 130 patients from another center. In the training set, multivariate Cox regression analysis revealed that age, WGO type, basic etiology, total bilirubin, creatinine, prothrombin activity, and hepatic encephalopathy stage were all independent prognostic factors in ACLF. We designed a dynamic trend score table based on the changing trends of these indicators. Furthermore, a logistic prediction model (DP-ACLF) was constructed by combining the sum of dynamic trend scores and baseline prognostic parameters. All prognostic scores were calculated based on the clinical data of patients at the third day, first week, and second week after admission, respectively, and were correlated with the 90-day prognosis by ROC analysis. Comparative analysis showed that the AUC value for DP-ACLF was higher than for other prognostic scores, including Child–Turcotte–Pugh, MELD, MELD-Na, CLIF-SOFA, CLIF-C ACLF, and COSSH-ACLF. The new scoring model, which combined baseline characteristics and dynamic changes in clinical indicators to predict the course of ACLF, showed a better prognostic ability than current scoring systems. Prospective studies are needed to validate these results.

Acute-on-chronic liver failure (ACLF) exhibits etiological heterogeneity across regions, with hepatitis B virus (HBV)-related ACLF predominant in China and alcohol-related ACLF dominating Western populations. This multicenter retrospective study systematically compared clinical profiles of HBV-related (n = 659) and alcohol-related ACLF (n = 296) stratified by the World Gastroenterology Organization (WGO) A/B/C classification, reflecting underlying chronic liver disease severity. Compared to HBV-related ACLF, alcohol-related ACLF showed higher systemic inflammation (leukocytosis, neutrophilia), bacterial infection ( P  < 0.001), extrahepatic organ failures (single-organ: renal, brain and respiratory, all P  < 0.05; multi-organ: P  < 0.001) and higher CLIF-C ACLF/COSSH-ACLF II scores. Conversely, HBV-related ACLF exhibited acute hepatocellular injury (elevated ALT/AST), and higher MELD/MELD-Na scores. These etiological disparities were most pronounced in type C ACLF. Despite these distinct profiles, mortality did not differ between etiologies. Type C ACLF demonstrated poorest profiles and uniformly high 90-day mortality (> 45%) regardless of etiology driven by cumulative organ failure burden. Importantly, CLIF-C ACLF and COSSH-ACLF II scores outperformed MELD and MELD-Na scores in predicting outcomes for type C patients. These findings underscore the critical influence of diverse etiologies and severity stages of underlying chronic liver diseases on ACLF profiles and outcomes, thereby necessitating stratified management approaches tailored to underlying chronic liver disease to ultimately improve patient outcomes.

Objective Acute kidney injury (AKI) is a common and life-threatening complication of liver failure. The purpose of this study is to construct a nomogram and online calculator to predict the development of hospital-acquired acute kidney injury (HA-AKI) in patients with acute-on-chronic liver failure (ACLF), which may contribute to the prognosis of ACLF. Methods 574 ACLF patients were evaluated retrospectively. AKI was defined by criteria proposed by International Club of Ascites (ICA) and divided into community-acquired and hospital-acquired AKI (CA-AKI and HA-AKI). The difference between CA-AKI and HA-AKI, factors associated with development into and recovered from AKI periods. The risk factors were identified and nomograms were developed to predict the morbidity of HA-AKI in patients with ACLF. Results Among 574 patients, 217(37.8%) patients had AKI, CA-AKI and HA-AKI were 56 (25.8%) and 161 (74.2%) respectively. The multivariate logistic regression model (KP-AKI) for predicting the occurrence of HA-AKI were age, gastrointestinal bleeding, bacterial infections, albumin, total bilirubin, blood urea nitrogen and prothrombin time. The AUROC of the KP-AKI in internal and external validations were 0.747 and 0.759, respectively. Among 217 AKI patients, 81(37.3%), 96(44.2%) and 40(18.4%) patients were with ICA-AKI stage progression, regression and fluctuated in-situ, respectively. The 90-day mortality of patients with AKI was 55.3% higher than non-AKI patients 21.6%. The 90-day mortality of patients with progression of AKI was 88.9%, followed by patients with fluctuated in-situ 40% and regression of AKI 33.3%. Conclusions The nomogram constructed by KP-AKI can be conveniently and accurately in predicting the development of HA-AKI, and AKI can increase the 90-day mortality significantly in ACLF patients. Trial registration Chinese clinical trials registry: ChiCTR1900021539.

Background The manifestations and prognoses of acute-on-chronic liver failure (ACLF) with different precipitating events remain heterogeneous. We aimed to investigate the characteristics and prognosis of patients with hepatotropic viral insult (HVI)-induced hepatitis B-related ACLF (HBV-ACLF). Methods 452 patients with confirmed diagnosis of ACLF were screened in three medical centers in China, and 203 HBV-ACLF patients with definite acute precipitating events were retrospectively analyzed. According to the precipitating events, HBV-ACLF patients induced by HBV reactivation and super-infection with HAV were classified as the hepatotropic viral insult group and those induced by other factors, as the non-virus insult (NVI) group. The clinical characteristics, predictive scoring model, and prognosis of the two groups were compared. Results Hepatitis B virus reactivation accounted for the largest proportion (39.9%) among all precipitating events. Exacerbation time frame of the HVI group was significantly longer than that of the NVI group (20 days vs. 10 days, P < 0.001). Comparison of intergroup prognosis showed that there was no significant difference in the 28 day mortality (20.9 vs. 13.7%, P = 0.125), while the 90 day and 1 year mortality in the HVI group were higher than those in the NVI group (36.3 vs. 24.4%, P = 0.014; 39.5% vs. 27.5%, P = 0.020, respectively). In the HVI group, the lactic acid-free APASL-ACLF Research Consortium (AARC) had better predictive value for 90 day mortality (0.741). Conclusions The 90 day and 1 year survival rate was lower in HBV-ACLF patients induced by HVI than by NVI. The lactate-free AARC score was a better predictor of short- and long-term prognosis in patients with HVI-induced HBV-ACLF.

HBV-related acute-on-chronic liver failure (HBV-ACLF) is a severe liver disease which results in a high mortality in China. To early predict the prognosis of the patients may prevent the complications and improve the survival. This study was aimed to develop a new prognostic index to estimate the survival related to HBV-ACLF. Consecutive patients with HBV-ACLF were included in a prospective observational study. Serum Cystatin C concentrations were measured by using the particle-enhanced immunonephelometry assay. All of the patients were followed for at least 3 months. Cox regression analysis was carried out to identify which factors were predictive of mortality. The area under the receiver operating characteristic curve (AUC) was used to evaluate the efficacy of the variates for early predicting mortality. Seventy-two patients with HBV-ACLF were recruited between January 2012 and January 2013. Thirty patients died (41.7%) during 3-months followed up. Cox multivariate regression analysis identified serum cystatin C (CysC) and total bilirubin (TBil) were independent factors significantly (P < 0.01) associated with survival. Our results further showed that new prognostic index (PI) combining serum CysC with TBil was a good indicator for predicting the mortality of patients with HBV-ACLF. Specifically, the PI had a higher accuracy than the CTP, MELD, or MELD-Na scoring for early prediction short-term survival of HBV-ACLF patients with normal levels of serum creatinine (Cr). The survival rate in low risk group (PI < 3.91) was 94.3%, which was markedly higher than those in the high-risk group (PI ≥ 3.91) (17.4%, P < 0.001). We developed a new prognostic index combining serum CysC with TBil which early predicted the short-term mortality of HBV-ACLF patients.

Background and aim Acute-on-chronic liver failure (ACLF) is a severe form of alcoholic hepatitis (SAH). We aimed to study the natural course, response to corticosteroids (CS), and the role of the Asian Pacific Association for the Study of Liver (APASL) research consortium (AARC) score in determining clinical outcomes in AH patients. Methods Prospectively collected data from the AARC database were analyzed. Results Of the 1249 AH patients, (aged 43.8 ± 10.6 years, 96.9% male, AARC score 9.2 ± 1.9), 38.8% died on a 90 day follow-up. Of these, 150 (12.0%) had mild–moderate AH (MAH), 65 (5.2%) had SAH and 1034 (82.8%) had ACLF. Two hundred and eleven (16.9%) patients received CS, of which 101 (47.87%) were steroid responders by day 7 of Lille’s model, which was associated with improved survival [Hazard ratio (HR) 0.15, 95% CI 0.12–0.19]. AARC-ACLF grade 3 [OR 0.28, 0.14–0.55] was an independent predictor of steroid non-response and mortality [HR 3.29, 2.63–4.11]. Complications increased with degree of liver failure [AARC grade III vs. II vs I], bacterial infections [48.6% vs. 37% vs. 34.7%; p  < 0.001); extrahepatic organ failure [66.9% vs. 41.8% vs. 35.4%; p  < 0.001] respectively. The AARC score better discriminated 90-day mortality. Harrell’s C-index was 0.72 compared to other scores. Conclusion Nearly 4 of 5 patients with AH present with ACLF. Such patients have a higher risk of infections, organ failures, lower response to CS, and higher mortality. Patients with AH and ACLF with AARC grade 3 should be considered for an early liver transplant.

Objective To investigate the features of hepatitis B virus (HBV) basal core promoter/precore (BCP/PC) mutations and genotypes in a large number of mild/severe chronic hepatitis B (CHB-M/CHB-S), and acute-on-chronic liver failure (ACLF) patients and analyze the clinical implications of the virologic features. Patients and methods Sera of 793 (325 CHB-M, 170 CHB-S, and 298 ACLF) patients admitted to or who had visited Beijing 302 Hospital from January 2005 to December 2008 were collected and successfully amplified for the HBV BCP/PC and a 1225-bp-long S/Pol (nt 54–1278) gene regions. Biochemical and serological parameters and HBV DNA level were routinely performed. Viral DNA was extracted and subjected to a nested PCR. Genotypes/subgenotypes were determined based on complete genomic sequence or on analysis of the 1225-bp-long S/Pol-gene sequence. HBV genotyping was performed by direct PCR sequencing followed by molecular evolutionary analysis of the viral sequences. A P value of <0.05 (two-sided) was considered to be statistically significant. Conclusions Our findings suggest that CHB patients infected with BCP/PC mutant viruses are more susceptible to severe hepatitis and ACLF than those with the BCP/PC wild-type virus and that ACLF patients with PC mutant viruses have an increased risk of death. As such, the HBV PC mutation is a potential predictive indicator of ACLF outcome.

This study aimed to investigate the relationships of intrahepatic cccDNA with serum HBsAg and with HBV DNA in treatment-naive patients throughout acute and chronic HBV infection. A total of 120 patients who had a liver biopsy were enrolled, including 19 with acute hepatitis B (AHB), and 101 patients with chronic HBV infection (CHB) of whom were 10 in immune-tolerant (IT) phase, 59 in immune-clearance (IC) phase, 8 in low-replicative (LR) phase, and 24 in HBeAg-negative hepatitis (ENH) phase. Intrahepatic cccDNA, serum HBsAg and serum HBV DNA levels were comparatively analyzed. The median intrahepatic cccDNA levels were 0.18 4.80, 3.81, 0.22 and 0.97 copies/cell for patients with AHB, CHB-IT, CHB-IC, CHB-LR, and CHB-ENH, respectively. In AHB patients, intrahepatic cccDNA was positively correlated with serum HBsAg (r = 0.665, P = 0.003), as well as serum HBV DNA (r = 0.536, P = 0.022). In CHB patients, intrahepatic cccDNA was positively correlated with serum HBsAg in the IC phase (r = 0.392, P = 0.005), and with serum HBV DNA in the IC phase (r = 0.301, P = 0.036) and ENH phase (r = 0.588, P = 0.013). HBV replicative efficiency, defined as the ratio of serum HBV DNA to intrahepatic cccDNA, was obviously lower in AHB and CHB-LR patients than in CHB-IT, CHB-IC and CHB-ENH patients (0.70 and 0.53 vs. 1.12, 1.09 and 0.99, P<0.001, values were logarithmic transformed for analysis). In CHB-IC patients, HBV replicative efficiency was positively correlated with histological activity index of liver inflammation (r = 0.308, P = 0.009). Serum HBsAg and HBV DNA levels may reflect the amount of active intrahepatic cccDNA in treatment-naive AHB and CHB-IC patients. Reduced intrahepatic cccDNA and HBV replicative efficiency may imply effective immune control of HBV infection.

This paper studies the autonomous path planning of unmanned vehicles in a known driving environment. The path planning algorithm used is a hybrid algorithm combining bidirectional fast random search tree and artificial potential field method. On the basis of introducing the principle of the two algorithms, an improved algorithm combining Bi-RRT and artificial potential field is proposed. In order to reflect the advantages of the improved algorithm, the traditional RRT and Bi-RRT algorithms are simulated and compared in Matlab.

Background and aims Early identification of non-response to steroids is critical in patients with autoimmune hepatitis (AIH) causing acute-on-chronic liver failure (ACLF). We assessed if this non-response can be accurately identified within first few days of treatment. Methods Patients with AIH-ACLF without baseline infection/hepatic encephalopathy were identified from APASL ACLF research consortium (AARC) database. Diagnosis of AIH-ACLF was based mainly on histology. Those treated with steroids were assessed for non-response (defined as death or liver transplant at 90 days for present study). Laboratory parameters, AARC, and model for end-stage liver disease (MELD) scores were assessed at baseline and day 3 to identify early non-response. Utility of dynamic SURFASA score [− 6.80 + 1.92*(D0-INR) + 1.94*(∆%3-INR) + 1.64*(∆%3-bilirubin)] was also evaluated. The performance of early predictors was compared with changes in MELD score at 2 weeks. Results Fifty-five out of one hundred and sixty-five patients (age—38.2 ± 15.0 years, 67.2% females) with AIH-ACLF [median MELD 24 (IQR: 22–27); median AARC score 7 (6–9)] given oral prednisolone 40 (20–40) mg per day were analyzed. The 90 day transplant-free survival in this cohort was 45.7% with worse outcomes in those with incident infections (56% vs 28.0%, p  = 0.03). The AUROC of pre-therapy AARC score [0.842 (95% CI 0.754–0.93)], MELD [0.837 (95% CI 0.733–0.94)] score and SURFASA score [0.795 (95% CI 0.678–0.911)] were as accurate as ∆MELD at 2 weeks [0.770 (95% CI 0.687–0.845), p  = 0.526] and better than ∆MELD at 3 days [0.541 (95% CI 0.395, 0.687), p  < 0.001] to predict non-response. Combination of AARC score > 6, MELD score > 24 with SURFASA score ≥ − 1.2, could identify non-responders at day 3 (concomitant— 75% vs either − 42%, p  < 0.001). Conclusion Baseline AARC score, MELD score, and the dynamic SURFASA score on day 3 can accurately identify early non-response to steroids in AIH-ACLF.