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 parainfluenza virus (PIV) infection in children hospitalized in Hainan between March 2012 and December 2022, and to analyze its epidemiological characteristics. Methods　The samples were obtained from 62 553 kids with respiratory infections who were hospitalized in the Department of Pediatrics of multiple hospitals in various regions of Hainan from March 2012 to December 2022. Indirect immunofluorescence was employed to detect IgM antibodies in serum for nine respiratory pathogens, including PIV, adenovirus, influenza A virus, Legionella pneumophila, respiratory syncytial virus, Mycoplasma pneumoniae, influenza B virus, Coxiella burnetii, and Chlamydia pneumoniae. Epidemiological and clinical data (time, gender, age, season, etc.) of PIV-IgM antibody-positive cases were analyzed in a descriptive study. Results　The total PIV-IgM antibody positive rate of 62 553 respiratory tract infected children was 3.29% (2 015/62 553), with the highest positive rate of 11.01% (385/3 496) in 2017, and the second highest positive rate of 8.37% (351/4 196) in 2016, which were significantly higher than the positive rate of the rest of the years (P<0.001). The PIV positive rate was 3.18% (1 248/39 225) in males and 3.29% (767/23 328) in females, with no statistically significant difference (P>0.05). PIV infection occurred in all age groups, with the highest positive rate in the 6 to <12 years group at 4.50% (357/7 941), followed by the 3 to <6 years group at 4.47% (656/14 689), significantly higher than other age groups (P<0.001). The highest positive rate for PIV was in summer at 4.30% (693/16 093), followed by 3.78% (598/15 804) in spring, and the lowest rate of 2.27% (342/15 065) in winter, with statistically significant differences (P<0.001). Single PIV infection accounted for 63.08% (1 271/2 015), while mixed infections accounted for 36.92% (744/2 015), and the most common co-infection being with Mycoplasma pneumoniae infection at 23.13% (466/2 015). Conclusions　PIV is an important pathogen for children's acute respiratory infections in Hainan Province, exhibiting year-round sporadic occurrence with alternating high and low periods characteristics. PIV infection is to the gender of the child, predominantly affects preschool and school-age children, peaks in spring and summer, and commonly co-infects with Mycoplasma pneumoniae infection.

OBJECTIVE: To study bioactive compounds from the endophytic fungus Penicillium sp. HJT-A-6 isolated from stem of Rhodiola tibetica, and evaluate its allelopathic activity. METHODS: The chemical constituents were isolated and purified by silica gel, Sephadex LH-20 column chromatography and semi-preparative HPLC. Their structures were elucidated by extensive spectroscopic analysis and electronic circular dichroism (ECD) calculations. In addition, the allelopathic activity of compound 1 was evaluated by measuring the seed germination rate of R. tibetica. RESULTS: Two new polyketides 4-hydroxy-3,6-dimethyl-2H-pyran-2-one (1) and penilactone E (2), together with six known compounds walterolactone A (3), 5-hydroxyhexan-4-olide (4), 3-methyl-2-penten-5-olide (5), chaetoquadrin F (6), (Z)-6-acetyl-3-(1,2-dihydroxypropylidene)-5-hydroxy-8-methylchroman-2-one (7) and 4-hydroxy-3-(4-hydroxyhexanoyl)-5-methylfuran-2(5H)-one (8) were isolated from Penicillium sp. HJT-A-6. Compound 1 showed moderate seed-germination-promoting activity at a concentration of 0.001 mg/mL while inhibiting the seed germination at concentrations of 0.1 and 0.01 mg/mL. Compared with the positive drug 6-benzyladenine (6-BA), compound 1 could extend the seed-germination period of R. tibetica (up to 11 d). CONCLUSION Two new compounds were isolated from R. tibetica endophytic fungus Penicillium sp. HJT-A-6. Compound 1 displayed plant hormone-like activity, which inhibited the seed germination of the host plant at high concentrations and promoted the seed germination of the host plant at low concentrations. The results not only enrich the chemical constituents of the endophytic fungi isolated from Rhodiola tibetica, but also provide a theoretical basis for understanding the interaction mechanism between Rhodiola tibetica endophytic fungi and the host plant.

Objective To analyze the status and risk factors of Helicobacter pylori (Hp) infection in permanent residents in a certain area. Methods The clinical data of 6 792 permanent residents surveyed from January 2021 to December 2023 were retrospectively analyzed. All subjects underwent 13C-urea breath test，and relevant general information was collected to analyze Hp infection status. According to whether Hp infection occurred, they were divided into positive group (n=4 283) and negative group (n=2 509). The differences in general information, living habits, and dietary habits between the two groups of subjects were analyzed, and multivariate logistic regression analysis was conducted. Results Among the 6 792 permanent residents surveyed from January 2021 to December 2023, 4283 were positive for 13C-urea breath test, accounting for 63.05% of the total. There were statistically significant differences in age distribution, gender, BMI, tableware cleaning, personal hygiene products use, chopsticks use, and raw food and vegetable cleaning between the positive group and the negative group (P<0.05). The single factors of Hp infection were substituted into multivariate logistic regression analysis equation, and it was found that age ≥45 years old, male, BMI≥24, no use of detergents to clean utensils, sharing personal hygiene products, not using public chopsticks, having a habit of eating raw food, and not cleaning vegetables before eating were independent risk factors for Hp infection. Conclusion The positive rate of Hp infection in this area is relatively high, and the infection factors are related to age, gender, and some lifestyle and dietary habits.

Objective To evaluate the accuracy and reproducibility of AlignRT-guided positioning by comparing two positioning workflows for pelvic tumor radiotherapy,and to further explore the feasibility of using it to replace skin marker alignment.Methods Forty cases of pelvic tumor treated with radiotherapy using Infinity accelerator in Sun Yat-sen University Cancer Center between March 2022 and March 2023 were included in the study,with 20 cases using the skin marker alignment workflow and the other 20 adopting AlignRT-guided positioning workflow.The translational errors(LAT,LNG,VRT)and rotational errors(Yaw,Pitch,Roll)were determined by the registration of pre-treatment cone-beam CT(CBCT)with planned CT.Both CBCT shifts and error offset distributions were analyzed;planning target volume(PTV)margins were calculated;and correlation analyses were conducted among six-dimensional errors,and between body mass index and setup errors.Results The median translational and rotational setup errors of skin marker alignment workflow vs AlignRT-guided positioning workflow were 0.19-0.34 cm vs 0.10-0.15 cm and 0.50°-1.30°vs 0.50°-0.70°,with the maximum offset ranges of 1.20-1.70 cm vs 0.42-0.47 cm and 2.00°-5.50° vs 1.80°-2.00°,respectively.Additionally,for skin marker alignment workflow,inter-fractional errors>0.5 cm and>3° were observed in 23.3%and 9.8%of fractions.The PTV margins of AlignRT-guided positioning workflow were 0.37,0.38 and 0.34 cm in the left-right,superior-inferior and anterior-posterior directions,respectively,which were much smaller than those of skin marker alignment workflow(0.67,1.22 and 0.95 cm).No correlation was found between six-dimensional errors in two positioning workflows.When using AlignRT-guided positioning workflow,the setup errors in LAT,LNG and Pitch directions had low correlations with body mass index.Conclusion In pelvic tumor radiotherapy,AlignRT-guided positioning can reduce translational and rotational errors,achieve precise setup and excellent inter-fractional reproducibility and stability,and replace traditional skin marker alignment while being used in conjunction with CBCT.

Teicoplanin,currently one of the preferred drugs for treating infections caused by multidrug-resistant Staphylococcus aureus and Enterococcus in clinical practice,has a high plasma protein binding rate.Most of the drug binds to protein after entering the body,only a portion of the drug exists in a free form.Since the free drug can pass through biological membranes and enter the target tissue to exert its therapeutic effect,monitoring the free teicoplanin blood concentration is clinically important and plays a role in guiding individualized drug therapy.This article summarizes and compares the current methods for determining the concentration of free teicoplanin in the blood,and analyzes their advantages and disadvantages.Based on this,it analyzes the possible factors affecting the concentration of free teicoplanin in the blood,providing a reference for the development of new methods for detecting free teicoplanin concentration and providing more accurate individualized medication plans based on free concentration.