Objective:To explore the predictive value of changes in prealbumin for the prognosis of patients with hepatitis B virus-associated acute-on-chronic liver failure (HBV-ACLF) after artificial liver treatment.Methods:From January 1, 2018 to December 31, 2021, the clinical data (including prealbumin, platelet count, lymphocyte count, alanine transaminase (ALT), etc.) of 87 patients with HBV-ACLF who received artificial liver treatment at the Department of Gastroenterology of the General Hospital of Western Theater Command PLA were retrospectively collected. The 90-day survival status of all the patients was followed up, and the patients were divided into the survival group and the mortality group according to the survival status. The clinical characteristics and the changes of prealbumin on day 1 to 3, day 3 to 7, and day 1 to 7 after artificial liver treatment were compared between the 2 groups. Multivariate logistic regression analysis was used to analyze the independent influencing factors of the 90-day prognosis of HBV-ACLF patients after artificial liver treatment, and the nomogram prediction model was established and the receiver operating characteristic curve (ROC) was drawn to assess the area under the curve (AUC). Hosmer-Lemeshow goodness-of-fit test, calibration curve and clinical decision curve were performed to evaluate the goodness of fit, consistency and clinical value of the prediction model. Paired t-test and Mann-Whitney U test were used for statistical analysis. Results:There were 69 cases enrolled into the survival group, and 18 cases enrolled into the mortality group. The levels of albumin, prealbumin, platelet count, lymphocyte count, and ALT before treatment, and the level of prealbumin at the 3rd day after treatment of the survival group were all higher than those of the mortality group (32.5 (30.6, 35.2) g/L vs. 29.4 (27.6, 32.3) g/L, 66.0 (52.5, 81.5) mg/L vs. 56.5 (39.2, 65.0) mg/L, 103.0 (72.5, 145.0)×10 9/L vs. 63.5 (40.0, 92.5)×10 9/L, 1.1 (0.8, 1.4)×10 9/L vs. 0.9 (0.5, 1.1)×10 9/L, (514.7±86.4) U/L vs. (328.2±93.4) U/L, 90.0 (69.5, 102.5) mg/L vs.68.5(60.0, 75.8) mg/L), and the age, the level of total bilirubin, international normalized ratio, and prothrombin time before treatment of the survival group were all lower than those of the mortality group (48.0 (42.0, 57.0) years old vs. 48.5 (47.0, 56.0) years old, 323.9 (261.2, 409.2) μmol/L vs. 452.2 (405.8, 510.8) μmol/L, 1.5 (1.3, 1.9) vs. 1.9 (1.4, 2.1), 17.3 (14.6, 20.8) s vs. 21.4 (16.6, 23.2) s), and the differences were statistically significant ( Z=-3.38, -2.87, -2.38 and -2.01, t=2.39, Z=-4.11, 3.00, 3.64, 2.18 and 2.37; all P<0.05). The change of prealbumin on day 1 to 3 after treatment in the mortality group was greater than that in the survival group (-0.182 (-0.321, -0.026) vs. -0.043 (-0.133, 0.093)), and the difference was statistically significant ( Z=-3.42, P=0.001). The results of multivariate logistic regression analysis showed that the age, total bilirubin before treatment, and the change of prealbumin on day 1 to 3 after treatment were independent influencing factors for the 90-day prognosis in HBV-ACLF patients after artificial liver treatment (all P<0.05), and the nomogram model was established based on the above 3 factors. The results of ROC analysis showed that the AUC of the prediction model was 0.933 (95% confidence interval: 0.866 to 1.000, P<0.001), with a sensitivity of 0.933 and a specificity of 0.825. The results of the Hosmer-Lemeshow goodness-of-fit test showed that the prediction model had a good fit( P=0.700). The results of calibration curve analysis indicated that the actual curve of the prediction model was close to the calibration curve, with an average absolute error of 0.034, the consistency between the predicted probability and the actual probability was good. The clinical decision curve analysis suggested that the prediction model had significant clinical benefits. Conclusions:The changes of prealbumin after artificial liver treatment in HBV-ACLF patients can reflect the recovery of liver function. The nomogram prediction model based on the change of prealbumin on day 1 to 3 after treatment, age, and total bilirubin before treatment can better predict the 90-day prognosis of HBV-ACLF patients after artificial liver treatment.

Objective:To explore the predictive value of changes in prealbumin for the prognosis of patients with hepatitis B virus-associated acute-on-chronic liver failure (HBV-ACLF) after artificial liver treatment.Methods:From January 1, 2018 to December 31, 2021, the clinical data (including prealbumin, platelet count, lymphocyte count, alanine transaminase (ALT), etc.) of 87 patients with HBV-ACLF who received artificial liver treatment at the Department of Gastroenterology of the General Hospital of Western Theater Command PLA were retrospectively collected. The 90-day survival status of all the patients was followed up, and the patients were divided into the survival group and the mortality group according to the survival status. The clinical characteristics and the changes of prealbumin on day 1 to 3, day 3 to 7, and day 1 to 7 after artificial liver treatment were compared between the 2 groups. Multivariate logistic regression analysis was used to analyze the independent influencing factors of the 90-day prognosis of HBV-ACLF patients after artificial liver treatment, and the nomogram prediction model was established and the receiver operating characteristic curve (ROC) was drawn to assess the area under the curve (AUC). Hosmer-Lemeshow goodness-of-fit test, calibration curve and clinical decision curve were performed to evaluate the goodness of fit, consistency and clinical value of the prediction model. Paired t-test and Mann-Whitney U test were used for statistical analysis. Results:There were 69 cases enrolled into the survival group, and 18 cases enrolled into the mortality group. The levels of albumin, prealbumin, platelet count, lymphocyte count, and ALT before treatment, and the level of prealbumin at the 3rd day after treatment of the survival group were all higher than those of the mortality group (32.5 (30.6, 35.2) g/L vs. 29.4 (27.6, 32.3) g/L, 66.0 (52.5, 81.5) mg/L vs. 56.5 (39.2, 65.0) mg/L, 103.0 (72.5, 145.0)×10 9/L vs. 63.5 (40.0, 92.5)×10 9/L, 1.1 (0.8, 1.4)×10 9/L vs. 0.9 (0.5, 1.1)×10 9/L, (514.7±86.4) U/L vs. (328.2±93.4) U/L, 90.0 (69.5, 102.5) mg/L vs.68.5(60.0, 75.8) mg/L), and the age, the level of total bilirubin, international normalized ratio, and prothrombin time before treatment of the survival group were all lower than those of the mortality group (48.0 (42.0, 57.0) years old vs. 48.5 (47.0, 56.0) years old, 323.9 (261.2, 409.2) μmol/L vs. 452.2 (405.8, 510.8) μmol/L, 1.5 (1.3, 1.9) vs. 1.9 (1.4, 2.1), 17.3 (14.6, 20.8) s vs. 21.4 (16.6, 23.2) s), and the differences were statistically significant ( Z=-3.38, -2.87, -2.38 and -2.01, t=2.39, Z=-4.11, 3.00, 3.64, 2.18 and 2.37; all P<0.05). The change of prealbumin on day 1 to 3 after treatment in the mortality group was greater than that in the survival group (-0.182 (-0.321, -0.026) vs. -0.043 (-0.133, 0.093)), and the difference was statistically significant ( Z=-3.42, P=0.001). The results of multivariate logistic regression analysis showed that the age, total bilirubin before treatment, and the change of prealbumin on day 1 to 3 after treatment were independent influencing factors for the 90-day prognosis in HBV-ACLF patients after artificial liver treatment (all P<0.05), and the nomogram model was established based on the above 3 factors. The results of ROC analysis showed that the AUC of the prediction model was 0.933 (95% confidence interval: 0.866 to 1.000, P<0.001), with a sensitivity of 0.933 and a specificity of 0.825. The results of the Hosmer-Lemeshow goodness-of-fit test showed that the prediction model had a good fit( P=0.700). The results of calibration curve analysis indicated that the actual curve of the prediction model was close to the calibration curve, with an average absolute error of 0.034, the consistency between the predicted probability and the actual probability was good. The clinical decision curve analysis suggested that the prediction model had significant clinical benefits. Conclusions:The changes of prealbumin after artificial liver treatment in HBV-ACLF patients can reflect the recovery of liver function. The nomogram prediction model based on the change of prealbumin on day 1 to 3 after treatment, age, and total bilirubin before treatment can better predict the 90-day prognosis of HBV-ACLF patients after artificial liver treatment.

Objective:To investigate the prognosis-related factors and its predictive value in patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF).Methods:Sixty-three cases with HBV-ACLF were enrolled. According to the prognosis of 4-weeks, patients were divided into survival and death group. Univariate and multivariate analyses were performed on the clinical data of the two groups of patients to screen the risk factors affecting prognosis, evaluate its predictive value, and compare them with the MELD score, CTP score, and CLIFACLF score. The data were analyzed using t-test, Mann-Whitney U test, χ2 test. Multiple logistic regression analysis was used for multiple risk factors. Results:There were 63 cases with HBV-ACLF, with 16 cases (25.40%) in the 4-week survival group, and 47 cases (74.60%) in the death group. The survival group age was 38.38 ± 14.50 years, which was significantly lower than the age of the death group 52.28 ± 12.51 years ( P < 0.001). The survival group alpha-fetoprotein (AFP) level was 91.21 (8.38 ~ 154.10)μg/L, which was significantly higher than the level of the death group [12.60 (5.70 ~ 33.80) μg/L, P = 0.039]. The survival group alanine aminotransferase (ALT) level was 925.65 (523.43 ~ 1 364.80) U/L, which was much higher than that of the death group [371.60 (117.30 ~ 895.30) U/L, P = 0.040]. The survival group serum sodium level was (136.59 ± 4.03) mmol /L, which was significantly higher than the level of the death group [(132.22 ± 6.37) mmol/L, P = 0.013]. The survival group ascites severity level was much lower than that of the death group ( P = 0.008). The survival group creatinine level was 56.50(49.43 ~ 86.25) μmol/L, which was much lower than the level of the death group [86.20 (68.00 ~ 143.00) μmol/L, P = 0.003]. Multivariate logistic regression analysis showed that ascites ( OR = 0.470, 95% CI: 0.226 ~ 0.977) and age ( OR = 0.941, 95% CI: 0.888 ~ 0.996) were risk factors affecting the HBV-ACLF prognosis. The area under the curve predicted liver failure prognostic score for ascites and age was 0.821, and the sensitivity and specificity were 68.8% and 87.2%, which was higher than the area under the curve predicted by the MELD score, CTP score, and CLIFACLF score, respectively. Conclusion:Age and ascites can be used to predict the clinical outcome in patients with HBV-ACLF. Younger patients without ascites have a higher survival rate at 4-weeks, but older patients with ascites are more likely to have a lower survival rate.

Perineural invasion(PNI) is one of the important routes for metastasis of gastric carcinoma and results in local recurrence and cancer pain after radical gastrectomy. The dismal prognosis of gastric cancer has been intimately associated with lymph node metastasis, hematogenous metastasis that partly caused by PNI. Nerve, vascular and lymphatic constitutes the tumor microenvironment which plays a decisive role in the development of cancer. Molecular interaction and morphological change contribute to reciprocal signaling interactions between tumor cell and nerve. However, the underlying mechanism of PNI in gastric cancer is still unclear and needs further study. Here, we present a brief review of literatures on the topic of PNI in gastric cancer.
Gastrectomy ; Humans ; Lymphatic Metastasis ; Neoplasm Invasiveness ; Neoplasm Recurrence, Local ; Nerve Tissue ; Prognosis ; Signal Transduction ; Stomach Neoplasms

OBJECTIVEThe purpose of this study was to observe the behavior of bone formation around the titanium-hollow porous cylinder implant composed of bovine bone morphogentic protein(bBMP).

METHODSPorous-hollow cylinder titanium implant composed of bBMP was implanted into mandibule of dogs. Multiple fluorescent was labeled at different times and then LSCM was used to observe the newly formed bone around the complex implant.

RESULTSThe newly formed bone around the complex implant in experimental group was more obvious than that in other groups.

CONCLUSIONEarlier, longer and more new-bone formation can be induced by porous-hollow cylinder titanium implant composed of bBMP, and LSCM is an effective method to observe new bone formation around implant.

Animals ; Bone Morphogenetic Proteins ; pharmacology ; Cattle ; Dogs ; Female ; Implants, Experimental ; Male ; Mandible ; physiopathology ; surgery ; Osseointegration ; Osteogenesis ; drug effects ; Porosity ; Random Allocation ; Titanium