[Effect of Heroin on DLG4 Expression in Hippocampus, Amygdala and Frontal Cortex of Rats].

OBJECTIVE: To observe the expression of discs large homolog 4 (DLG4) protein in hippocampus, amygdala and frontal cortex of rats and evaluate postsynaptic density in heroin dependence. METHODS: The rat heroin dependent model was established by increasing intraperitoneal injection of heroin. DLG4 proteins in hippocampus, amygdala and frontal cortex of heroin dependent 9, 18, 36 days rats were detected with immunohistochemical staining and compared with that in the control group. RESULTS: DLG4 proteins in hippocampus, amygdala and frontal cortex were gradually reduced with extension of heroin dependent time. CONCLUSION: Heroin dependence can affect postsynaptic density of hippocampus, amygdala and frontal cortex. The changes become more apparent with extension of heroin dependence time.

Non-alcoholic fatty liver disease and risk of in-stent restenosis after bare metal stenting in native coronary arteries.

In-stent restenosis (ISR) remains the most common complication of percutaneous coronary intervention. Due to shared risk factors, it is postulated that non-alcoholic fatty liver disease (NAFLD) patients have an increased risk of ISR. This study aimed to determine the association between NAFLD and ISR in patients after bare metal stenting. This study included a cohort of 210 consecutive patients (150 men and 60 women) undergoing follow-up angiography. The primary end-point was angiographic ISR. Multivariate logistic regression analysis was used to identify independent risk factors for ISR. The cumulative ISR rate during follow-up was analyzed by Kaplan-Meier method. Subgroup analyses were also done for different gender. The ISR rate was 29.5%. Patients with NAFLD had a significantly higher prevalence of ISR than patients without NAFLD (43.3 vs. 16.0%, P < 0.001). In logistic regression analysis, NAFLD was associated with increased ISR, independent of low-density lipoprotein cholesterol, body mass index (adjusted odds ratio: 2.688, 95% confidence intervals: 1.285-5.537, P < 0.001). Male NAFLD patients had a higher prevalence of ISR than patients without NAFLD (48.4 vs. 15.3%, P < 0.001), while the prevalence of ISR in female patients with and without NAFLD were comparable (7.7 vs. 17.0%, P = 0.404). Kaplan-Meier analysis showed a significant association between NAFLD and ISR in all patients (log-rank P = 0.008) and in male subgroup (log-rank P = 0.033), but not in female subgroup (log-rank P = 0.313). This preliminary study suggests that NAFLD could independently associate with a high prevalence of ISR, especially in male patients.

Stratified alpha-fetoprotein pattern accurately predicts mortality in patients with acute-on-chronic hepatitis B liver failure.

BACKGROUND: Alpha-fetoprotein (AFP) has been shown to predict the prognosis of liver disease in several studies. This study aimed to evaluate the prognostic value of stratified AFP in patients with acute-on-chronic hepatitis B liver failure (ACHBLF). METHODS: A total of 192 patients were included and AFP were categorized into quartiles. The prognostic value was determined for overall survival (OS) and assessed by Kaplan-Meier analysis. Univariate and multivariate Cox proportional hazard regression analyses studied the association of all independent parameters with disease prognosis. RESULTS: The optimal cut-off points of AFP were: (Q1) 252.3-4800.0 ng/ml, (Q2) 76.0-252.2 ng/ml, (Q3) 18.6-75.9 ng/ml, and (Q4) 0.7-18.5 ng/ml. Based on the Kaplan-Meier analysis of the OS, each AFP quartile revealed a progressively worse OS and apparent separation (log-rank P = 0.006). The second-highest quartiles of AFP (Q2) always demonstrated an extremely favorable short-term survival. Combining the lowest AFP quartiles with a serum sodium < 131mmol/L or an INR ≥ 3.3 showed a poor outcome (90-days survival of 25.0% and 11.9% respectively). CONCLUSIONS: Stratified AFP could strengthen the predictive power for short-term survival of patients with ACHBLF. Combining AFP quartiles with low serum sodium and high INR may better predict poor outcome in ACHBLF patients.

Conditional survival estimate of acute-on-chronic hepatitis B liver failure: a dynamic prediction based on a multicenter cohort.

OBJECTIVES: Counseling patients with acute-on-chronic hepatitis B liver failure (ACHBLF) on their individual risk of short-term mortality is challenging. This study aimed to develop a conditional survival estimate (CSE) for predicting individualized mortality risk in ACHBLF patients. METHODS: We performed a large prospective cohort study of 278 ACHBLF patients from December 2010 to December 2013 at three participating medical centers. The Kaplan-Meier method was used to calculate the cumulative overall survival (OS). Cox proportional hazard regression models were used to analyze the risk factors associated with OS. 4-week CSE at "X" week after diagnostic established were calculated as CS4 = OS(X+4)/OS(X). RESULTS: The actual OS at 2, 4, 6, 8, 12 weeks were 80.5%, 71.8%, 69.3%, 66.0% and 63.7%, respectively. Using CSE, the probability of surviving an additional 4 weeks, given that the patient had survived for 1, 3, 5, 7, 9 weeks was 74%, 86%, 92%, 93%, 97%, respectively. Patients with worse prognostic feathers, including MELD > 25, Child grade C, age > 45, HE, INR > 2.5, demonstrated the greatest increase in CSE over time, when compared with the "favorable" one (Δ36% vs. Δ10%; Δ28% vs. Δ16%; Δ29% vs. Δ15%; Δ60% vs. Δ12%; Δ33% vs. Δ12%; all P < 0.001; respectively). CONCLUSIONS: This easy-to-use CSE can accurately predict the changing probability of survival over time. It may facilitate risk communication between patients and physicians.

Establishment and validation of ALPH-Q score to predict mortality risk in patients with acute-on-chronic hepatitis B liver failure: a prospective cohort study.

Currently, there are no robust models for predicting the outcome of acute-on-chronic hepatitis B liver failure (ACHBLF). We aimed to establish and validate a new prognostic scoring system, named ALPH-Q, that integrates electrocardiography parameters that may be used to predict short-term mortality of patients with ACHBLF. Two hundred fourteen patients were included in this study. The APLH-Q score was constructed by Cox proportional hazard regression analysis and was validated in an independent patient cohort. The area under the receiver-operating characteristic curve was used to compare the performance of different models, including APLH-Q, Child-Pugh score (CPS), model of end-stage liver disease (MELD), and a previously reported logistic regression model (LRM). The APLH-Q score was constructed with 5 independent risk factors, including age (HR = 1.034, 95% CI: 1.007-1.061), liver cirrhosis (HR = 2.753, 95% CI: 1.366-5.548), prothrombin time (HR = 1.031, 95% CI: 1.002-1.062), hepatic encephalopathy (HR = 2.703, 95% CI: 1.630-4.480), and QTc (HR = 1.008, 95% CI: 1.001-1.016). The performance of the ALPH-Q score was significantly better than that of MELD and CPS in both the training (0.896 vs 0.712, 0.896 vs 0.738, respectively, both P < 0.05) and validation cohorts (0.837 vs 0.689, 0.837 vs 0.585, respectively, both P < 0.05). Compared with LRM, APLH-Q also showed a better performance (0.896 vs 0.825, 0.837 vs 0.818, respectively).We have developed a novel APLH-Q score with greater performance than CPS, MELD, and LRM for predicting short-term mortality of patients with ACHBLF.