ObjectiveTo investigate the clinical features and outcomes of recompensation in patients with autoimmune hepatitis （AIH）-related decompensated cirrhosis， to identify independent predictive factors， and to construct a nomogram prediction model for the probability of recompensation. MethodsA retrospective cohort study was conducted among the adult patients with AIH-related decompensated cirrhosis who were admitted to The Fifth Medical Center of PLA General Hospital from January 2015 to August 2023 （n=211）. The primary endpoint was achievement of recompensation， and the secondary endpoint was liver-related death or liver transplantation. According to the outcome of the patients at the end of the follow-up， the patients were divided into the recompensation group （n=16） and the persistent decompensation group（n=150）.The independent-samples t test was used for comparison of normally distributed continuous data with homogeneity of variance， and the Mann-Whitney U rank sum test was used for comparison of non-normally distributed continuous data with heterogeneity of variance； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups； the Kaplan-Meier method was used for survival analysis； the Cox proportional-hazards regression model was used to identify independent predictive factors， and a nomogram model was constructed and validated. ResultsA total of 211 patients were enrolled， with a median age of 55.0 years and a median follow-up time of 44.0 months， and female patients accounted for 87.2%. Among the 211 patients， 61 （with a cumulative proportion of 35.5%） achieved recompensation. Compared with the persistent decompensation group， the recompensation group had significantly higher white blood cell count， platelet count （PLT）， total bilirubin （TBil）， alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， total bile acid， prothrombin time， international normalized ratio （INR）， SMA positive rate， Model for End-Stage Liver Disease （MELD） score， Child-Pugh score， and rate of use of glucocorticoids （all P0.05）， as well as significantly lower age at baseline， number of complications， and death/liver transplantation rate （all P0.05）. At 3 and 12 months after treatment， the recompensation group had continuous improvements in AST， TBil， INR， IgG， MELD score， and Child-Pugh score， which were significantly lower than the values in the persistent decompensation group （all P0.05）， alongside with continuous increases in PLT and albumin， which were significantly higher than the values in the persistent decompensation group （P0.05）. The multivariate Cox regression analysis showed that baseline ALT （hazard ratio ［HR］=1.067， 95% confidence interval ［CI］： 1.010 — 1.127， P=0.021）， IgG （HR=0.463，95%CI：0.258 — 0.833， P=0.010）， SMA positivity （HR=3.122，95%CI：1.768 — 5.515， P0.001）， and glucocorticoid therapy （HR=20.651，95%CI：8.744 — 48.770， P0.001） were independent predictive factors for recompensation， and the nomogram model based on these predictive factors showed excellent predictive performance （C-index=0.87，95%CI：0.84 — 0.90）. ConclusionAchieving recompensation significantly improves clinical outcomes in patients with AIH-related decompensated cirrhosis. Baseline SMA positivity， a high level of ALT， a low level of IgG， and corticosteroid therapy are independent predictive factors for recompensation. The predictive model constructed based on these factors can provide a basis for decision-making in individualized clinical management.

Objective:To explore the predictive value of lactic acid for the adverse prognostic outcomes in patients with acute-on-chronic liver failure combined with infection.Methods:A retrospective analysis was conducted on the clinical data of 208 cases of ACLF combined with infection who were hospitalized from January 2014 to March 2016. Patients were divided into a survival group ( n = 83) and a mortality group ( n = 125) according to the results of a 90-day follow-up. The clinical data were statistically analyzed between the two groups. Multivariate logistic regression with two categorical variables was used to analyze the independent risk factors for 90-day disease mortality and establish a new prediction model. The receiver operating characteristic curve (ROC curve) was used to evaluate the predictive value of lactic acid, the MELD score, the MELD-Na score, lactic acid combined with the MELD score, lactic acid combined with the MELD-Na score, and the new model. Results:The 90-day mortality rate of 208 cases of ACLF combined with infection was 60.1%. There were statistically significant differences in white blood cell count, neutrophil count, total bilirubin (TBil), serum creatinine (Cr), blood urea nitrogen (BUN), blood ammonia, the international normalized ratio (INR), lactic acid (LAC), procalcitonin, the MELD score, the MELD-Na score, hepatic encephalopathy (HE), acute kidney injury (AKI), and bleeding between the two groups. Multivariate logistic regression analysis showed that TBil, INR, LAC, HE, and bleeding were independent risk factors for 90-day mortality in patients with ACLF combined with infection. After the establishment of MELD-LAC, MELD-Na-LAC, and a new prediction model, the ROC curve revealed that the AUC (95% confidence interval) of MELD-LAC and MELD-Na LAC were 0.819 (0.759 ~ 0.870) and 0.838 (0.780 ~ 0.886), respectively, and was superior than the MELD score [0.766 (0.702 ~ 0.823)] and MELD-Na score [0.788 (0.726 ~ 0.843)], with P < 0.05, while the new model had an AUC of 0.924, the sensitivity of 83.9%, specificity of 89.9%, and accuracy of 87.8%, which was higher than LAC, MELD score, MELD-Na score, MELD-LAC, and MELD-Na-LAC ( P < 0.01). Conclusion:Lactic acid is an independent risk factor for mortality in patients with ACLF combined with infection, and it improves the clinical predictive value of MELD and MELD-Na for the prognosis of mortality.

Objective:To propose automatic measurement of global and local tessellation density on color fundus images based on a deep convolutional neural network (DCNN) method.Methods:An applied study. An artificial intelligence (AI) database was constructed, which contained 1 005 color fundus images captured from 1 024 eyes of 514 myopic patients in the Northern Hospital of Qingdao Eye Hospital from May to July, 2021. The images were preprocessed by using RGB color channel re-calibration method (CCR algorithm), CLAHE algorithm based on Lab color space, Retinex algorithm for multiple iterative illumination estimation, and multi-scale Retinex algorithm. The effects on the segmentation of tessellation by adopting the abovemetioned image enhancement methods and utilizing the Dice, Edge Overlap Rate and clDice loss were compared and observed. The tessellation segmentation model for extracting the tessellated region in the full fundus image as well as the tissue detection model for locating the optic disc and macular fovea were built up. Then, the fundus tessellation density (FTD), macular tessellation density (MTD) and peripapillary tessellation density (PTD) were calculated automatically.Results:When applying CCR algorithm for image preprocessing and the training losses combination strategy, the Dice coefficient, accuracy, sensitivity, specificity and Jordan index for fundus tessellation segmentation were 0.723 4, 94.25%, 74.03%, 96.00% and 70.03%, respectively. Compared with the manual annotations, the mean absolute errors and root mean square errors of FTD, MTD, PTD automatically measured by the model were 0.014 3, 0.020 7, 0.026 7 and 0.017 8, 0.032 3, 0.036 5, respectively.Conclusion:The DCNN-based segmentation and detection method can automatically measure the tessellation density in the global and local regions of the fundus of myopia patients, which can more accurately assist clinical monitoring and evaluation of the impact of fundus tessellation changes on the development of myopia.

ObjectiveTo investigate the clinical features of infection in patients with acute-on-chronic liver failure (ACLF) and bacterial infection and the influencing factors for 90-day survival rate. MethodsThe patients with ACLF who were admitted to The Fifth Medical Center of Chinese PLA General Hospital from January 2014 to December 2015 were enrolled, and related clinical data were collected and analyzed, including infection time and site, microbial culture, biochemical parameters and inflammatory markers, and 28- and 90-day prognosis after infection. The t-test or the Mann-Whitney U test was used for comparison of continuous data between two groups, and the chi-square test was used for comparison of categorical data between two groups. The life-table method was used to plot survival curves. The indices affecting prognosis in the univariate analysis were further included in the multivariate logistic regression analysis. ResultsA total of 1074 patients with ACLF were admitted, among whom 609 had bacterial infection, and the incidence rate of bacterial infection was 567%. Among these 609 patients, 16 underwent liver transplantation within 90 days and related data statistics were obtained for the remaining 593 patients. As for infection site, among the patients with infection, 70.15% had abdominal infection, 41.15% had pulmonary infection, 11.97% had sepsis, 5.40% had urinary system infection, 4.89% had thoracic infection, and 8.6% had infection at other sites. Among the patients with infection, 64.76% had infection at a single site. The positive rates of microbial culture of ascites, phlegm, urine, and pleural effusion were 22.70%, 52.82%, 40.63%, and 35.71%, respectively. Escherichia coli was the most common bacterium in ascites and accounted for 43.82%; Klebsiella pneumoniae, Pseudomonas aeruginosa, and Acinetobacter baumannii accounted for 22.67%, 2400%, and 22.67%, respectively, in phlegm; Escherichia coli, Klebsiella pneumoniae, and Staphylococcaceae accounted for 33.80%, 29.58%, and 15.49%, respectively, in blood culture. The 90-day survival rate after infection was 38.11% (226/593) in the patients with ACLF, and the multivariate logistic regression analysis showed that age (P=0.006), stage of hepatic encephalopathy (HE) (P＜0001), stage of liver failure (P＜0.001), and acute kidney injury (AKI) (P＜0.001) were independent risk factors for 90-day survival in patients with ACLF and infection. ConclusionThere is a high incidence rate of infection in patients with ACLF. The 90-day survival rate is relatively low, and the presence of AKI, HE stage III or above, and advanced liver failure may indicate poor prognosis.

The purpose of this study is to provide a culture for mouse bone marrow-derived macrophages (BMDM) and peritoneal macrophages (PM) and to characterize their molecular and cellular biology. The cell number and purity from the primary culture were assessed by cell counter and flow cytometry, respectively. Morphological features were evaluated by inverted microscope. Phagocytosis by macrophages was detected by the neutral red dye uptake assay. Phenotypic markers were analyzed by real-time fluorescent quantitative PCR. Our results show that the cell number was much higher from culture of BMDM than PM, while there was no significant difference regarding the percentage of F4/80+CD11b+ cells (98.30%±0.53% vs. 94.83%±1.42%; P>0.05). The proliferation rate of BMDM was significantly higher than PM in the presence of L929 cell conditioned medium, by using CCK-8 assay. However, PM appeared to adhere to the flask wall and extend earlier than BMDM. The phagocytosis capability of un-stimulated BMDM was significantly higher than PM, as well as lipopolysaccharide (LPS)-stimulated BMDM, except the BMDM stimulated by low dose LPS (0.1 μg/mL). Furthermore, Tnfα expression was significantly higher in un-stimulated BMDM than PM, while Arg1 and Ym1 mRNA expression were significantly lower than PM. The expression difference was persistent if stimulated by LPS+IFN-γ or IL-4. Our data indicate that bone marrow can get larger amounts of macrophages than peritoneal cavity. However, it should be aware that the molecular and cellular characteristics were different between these two culture systems.
Animals ; Bone Marrow Cells ; physiology ; Cells, Cultured ; Culture Media, Conditioned ; Lipopolysaccharides ; metabolism ; Macrophages ; classification ; physiology ; Mice ; Phagocytosis

Objective:To investigate the incidence rate, influencing factors and prognosis of infection-induced acute renal injury (AKI) in patients with acute-on-chronic liver failure (ACLF).Methods:516 cases with acute-on-chronic liver failure complicated with infection that were hospitalized in our hospital during 2014 to 2016 were retrospectively studied. General conditions and clinical characteristics of the patients were collected, and grouped according to the presence or absence of incidence and severity of AKI. General conditions, laboratory results, occurrence of complications and survival were compared and analyzed.Results:The main causes were HBV infection (67.8%) and alcoholic liver disease (20.0%). The most common sites of infection were abdominal cavity, lung and blood. Multivariate analysis showed that neutrophil count, TBIL, lactate and septic shock were independent risk factors for infection-induced AKI in ACLF patients. The cumulative mortality in patients with AKI after infection at 28, 90 and 360 days was significantly higher than those without AKI (51.6% and 20.5%, 70.2% and 40.3%, 73.4% and 45.9%; P < 0.01). In both groups, deaths had occurred mainly in the early (0 ~ 28 d) and middle (29 ~ 90 d) stage of follow-up period. In the late follow-up period (91-360 d), there was no statistically significant difference in mortality rate between the two groups. Conclusion:Infection is an important inducing cause of AKI in ACLF patients. The underlying liver disease and the severity of infection are significantly related to the infection-induced AKI in ACLF patients, and once AKI occurs after infection, the mortality rate of the patients is significantly increased.

To investigate the characteristics of traditional Chinese medicine (TCM) syndromes and their elements in people with subhealth fatigue.