Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ² = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ² = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ² = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ² = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ² = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ² = 5.604, P_adjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.

OBJECTIVE To optimize the prescription pre-review system in our hospital and evaluate its application effects. METHODS Aiming at the problems of imperfect rule base and high false positive rate in the early operation of the system， optimization measures were taken， including improving the content of the rule base， adjusting the interception level and prompt mode， refining the working model of prescription review pharmacists， and strengthening clinical communication. A retrospective cohort study was conducted， with prescription data from June to December 2023 （before optimization） as the control group and June to December 2024 （after optimization） as the observation group. Through inter group comparative analysis， the actual effect of optimizing the prescription pre-approval system was evaluated. RESULTS The prescription qualified rate increased from （82.51± 4.04）% before optimization to （90.98±1.55）% after optimization； the false positive rate decreased from （20.87±1.64）% before optimization to （7.41±2.04）% after optimization. The monthly range of prescription qualified rate narrowed from 10.24% to 4.11%， and the coefficient of variation decreased from 4.92% to 1.73%. The monthly range of false positive rate slightly increased from 4.40% to 5.34%， the coefficient of variation rose from 8.32% to 26.18%. CONCLUSIONS Through multi-dimensional optimizations of the prescription pre-review system in our hospital， its prescription review efficiency has been significantly enhanced， the quality of prescriptions has steadily improved， and the accuracy of reviews has notably improved.

ObjectiveTo analyze the distribution, drug resistance characteristics, and changing trends of Acinetobacter baumannii (AB) isolated from environmental surfaces and healthcare workers’ hands in a grade Ⅱ level A general hospital in Xuhui District of Shanghai from 2018 to 2023, and to provide reference for infection control in the hospital. MethodsEnvironmental samples were collected quarterly from critical surfaces and healthcare workers’ hands in the intensive care unit (ICU), geriatrics, and respiratory departments from 2018 to 2023. Clinical isolates were obtained from all patients with AB infections in ICU, geriatrics, respiratory department, rehabilitation department, infectious diseases department, emergency department, cardiology department, and orthopedics of the hospital from 2018 to 2023. Retrospective analyses were performed on AB detection rates, strain origins, resistance rates to commonly used antimicrobial agents, and resistance gene features, comparing the antimicrobial resistance between clinically isolated strains and environmentally isolated strains. ResultsFrom 2018 to 2023, a total of 1 416 samples were collected from the hospital and a total of 272 strains of AB were detected, with a positive detection rate of 19.21%. The detection rate gradually decreased year-on-year (χ²_trend=45.290, P<0.001). The majority of samples originated from patient-contacted items (34.56%, 94/272), followed by shared items (26.84%, 73/272) and healthcare worker-contacted items (15.07%, 41/272). From 2018 to 2023, the resistance rate of AB on environmental surfaces and healthcare workers’ hands to commonly tested antibiotics in the hospital ranged from 10% to 40%. The resistance rates to cefotaxime (42.52%) and piperacillin (38.58%) were relative high, while the resistance to polymyxin E (1.57%), polymyxin B (2.36%), and doxycycline (3.94%) maintained low. The annual fluctuations in resistance to cefotaxime, piperacillin, ceftriaxone, tobramycin, doxycycline, minocycline and cotrimoxazole were statistically significant (all P<0.05). There were statistically significant differences in the resistance of clinical and environmental isolates to ampicillin/sulbactam, cefepime, ceftazidime, subamphetamine, meropenem, piperacillin, aztreonam, gentamicin, tobramycin, minocycline, ciprofloxacin, levofloxacin, and cotrimoxazole in the hospital from 2018 to 2023 (all P<0.05). The resistance rate of clinical isolates was generally high, especially to β-lactam and quinolone drugs, which were mostly above 80% [such as cefepime (93.86%), cefotaxime (97.37%), imipenem (98.25%), and ciprofloxacin (99.12%)]. The resistance rate of environmental isolated strains to similar antibiotics was relatively lower, mostly concentrated at 10%‒30%. The whole-genome sequencing of 34 carbapenem-resistant Acinetobacter baumannii (CRAB) strains isolated from the hospital environment in 2023 revealed that the main resistance mechanism was overexpression of efflux pumps (51.97%), followed by changes in target sites (32.46%). Among the 34 CRAB strains, carbapenem resistance genes OXA-23 and OXA-51 were detected in 6 strains (17.65%), while genes such as KPC, IMP, VIM, and SIM were not detected. ConclusionFrom 2018 to 2023, AB in the hospital environment exhibited high resistance rates to certain antimicrobial agents and carried multiple resistance genes, indicating a potential transmission risk. It is necessary to further strengthen bacterial resistance monitoring and hospital infection control, and use antibiotics reasonably.

This paper summarized the key points and methods in terms of the establishment of the guideline working group and the management of conflict of interests， trying to provide reference for the development of clinical practice guidelines for Chinese patent medicine （CPM）. The establishment of the working group is the first important step for developing CPM guidelines. Considering the characteristics of the clinical practice guidelines for CPM， this study suggests that the three key elements of ‘multidisciplinarity’， ‘clinical relevance’ and ‘geographical representativeness’ should be put focus on when forming the working group. The guideline advisory committee， clinical expert group， evidence systematic evaluation group， secretary group and the external review group should be established. All group members should clarify the conflict of interest， and the process and management method of the conflict of interest should be clearly reported.

Recommendations for Chinese patent medicine （CPM） based on key information on rational drug use are one of the important conditions for enhancing guideline enforceability as well as facilitating guideline implementation. In this study， we discussed in detail of the key information on the rational use of CPM in five aspects， which are dosage， drug discontinuation， drug-drug and drug-food interactions， safety and economy. Following the process of multi-source search， synthesis and prioritization， it is suggested to collect key information on the rational use of CPM from a multi-source search of drug instructions， policy documents， literature， and clinical experts' experiences. Then the searched information should be summarized and prioritized with the principle that taking drug instructions as the basis and other-sources information for check and supplementation. Finally， methodological recommendations for the retrieval and synthesis of key information on rational drug use in guideline recommendations has been formed.

Objective To investigate the protective effect of cardamomine(CAR)on anthracycline-induced cardiotoxicity in rats by regulating the pyroptosis mediated by Notch/nuclear factor-κB(NF-κB)signal pathway.Methods The rat model of cardiotoxicity was established by intraperitoneal injection of doxorubicin(DOX).The model rats were randomly divided into DOX group,CAR-L group,CAR-H group and Jagged1 group.Another 10 rats were taken as the control group.The control group and the DOX group were given the same amount of 0.9％NaCl.The CAR-L group and CAR-H group were given 40 and 80 mg·kg-1 CAR by gavage,respectively.The Jagged1 group was given 80 mg·kg-1 CAR+and 25 ng·kg-1 Jagged1 by gavage once a day for 4 weeks.Myocardial injury markers creatine kinase isoenzyme(CK-MB)and troponin Ⅰ(cTn Ⅰ)were detected by kit.The expression of pyroptosis protein Nod-like receptor protein 3(NLRP3)and desquamate D(GSDM-D)were observed by immunohistochemistry.The expression of Notch1 and phosphorylated NF-κB p65(p-NF-κB p65)protein in myocardial tissue was detected by Western blotting.Results The levels of CK-MB in control group,DOX group,CAR-L group,CAR-H group and Jagged1 group were(48.51±5.39),(175.93±13.27),(106.83±9.73),(83.71±8.39)and(126.08±9.74)U·L-1;the levels of cTn Ⅰ were(1.95±0.18),(12.46±1.83),(7.15±0.64),(4.13±0.38)and(8.01±0.78)ng·mL-1;the average optical density of NLRP3 protein were 0.19±0.07,0.36±0.05,0.25±0.05,0.21±0.03 and 0.31±0.06;the average optical density of GSDM-D were 0.18±0.04,0.43±0.06,0.24±0.03,0.19±0.04 and 0.32±0.05.There were significant differences in the above indexes between DOX group and control group(all P＜0.05).There were significant differences in the above indexes between CAR-L group,CAR-H group and DOX group(all P＜0.05),and there were significant differences between CAR-L group and CAR-H group(all P＜0.05).The above indexes in Jagged1 group were significantly different from those in CAR-H group(all P＜0.05).Conclusion CAR can improve myocardial injury in DOX cardiotoxic rats,reduce oxidative stress,inflammatory reaction and pyroptosis,and its mechanism may be related to the inhibition of Notch/NF-κB pathway.

With the development of clinical,basic medicine and metabolomics,intestinal flora has gradually become a focus of research and has been used in the diagnosis and treatment of several intestinal diseases.Lactobacillus can produce and regulate a variety of intestinal metabolites,and participate in lipid metabolism,thrombosis,inflammation and oxidative stress,and even ferroptosis,which may have an impact on the occurrence and development of cardiovascular diseases.This article reviews the role of lactobacillus in the regulation of metabolism,involvement in the pathophysiological mechanism of myocardial infarction and its clinical application in acute myocardial infarction,providing a new reference for the prevention and treatment of AMI.

Objective To summarize the application of double valve ring enlargement combined with mitral Chimney technique (Chimney Commando) in the secondary valve replacement and to analyze the efficacy in the near and medium term. Methods Patients who underwent the secondary aortic valve and mitral valve (double valve) replacement by Chimney Commando in Wuhan Asia Heart Hospital from 2019 to 2022 were included, and their clinical data were retrospectively collected to analyze the safety and feasibility of this procedure in secondary valve replacement of small aortic root patients. Results A total of 49 patients (44 females and 5 males) were included. The body surface area was 1.64±0.17 m2. The time from the first operation was 13.10±5.90 years. Except for 4 patients whose first operation was valvuloplasty, the remaining 45 patients were all patients after valve replacement, 41 patients of double valves replacement, including 39 patients with mechanical valve and 2 patients with biological valve. The majority of the aortic valves were St.Jude regent 19 mm or St.Jude regent 21 mm, accounting for 30.61% and 34.69%, respectively. The mitral valves were predominantly St.Jude 25 mm mechanical valves, making up 65.31%. All patients underwent Chimney Commando double valve ring enlargement, and the mean time of aortic occlusion was 154.00±45.40 min. The mean size of the aortic valve was 23.90±1.40 mm and that of the mitral valve was 28.20±1.20 mm, and the transvalvular pressure difference across the aortic valve was 20.16±5.76 mm Hg at 6 months postoperatively. There was one death during hospitalization due to multi-organ failure. The follow-up time ranged from 1 to 24 months with a median time of 8 months. Two patients were implanted with permanent pacemakers during the follow-up period and 1 patient died due to massive stroke and malignant arrhythmia. Conclusion Chimney Commando is safe and effective in patients with secondary double valve replacement, and the postoperative prosthetic valves have good hemodynamics, and can achieve good clinical results in the near and medium term.

Nanozymes, a groundbreaking discovery by Chinese scientists, represent a novel and remarkable property of nanomaterials. They not only exhibit catalytic activity comparable to natural enzymes, but also boast exceptional stability, tunable reactivity, and the ability to catalyze reactions under mild conditions. The identification of nanozymes has unveiled the biocatalytic potential of inorganic nanomaterials. In parallel, inorganic minerals have long been regarded as pivotal catalysts in the origin of life, driving the synthesis of early biomolecules. These minerals not only facilitate redox reactions that convert simple inorganic compounds into organic molecules but also enable chiral selection, the synthesis of biomacromolecules, and radioprotective functions via their surface structures. Recent advances suggest that inorganic nanomaterials can delicately catalyze the formation of biomolecules, aid in macromolecular assembly, and provide radiation shielding. Furthermore, nanominerals are found in abundance across Earth and extraterrestrial environments. This paper seeks to explore the potential of nanozymes as catalytic agents in the processes that gave rise to life, integrating the catalytic roles of inorganic minerals with the unique attributes of nanozymes, which will provide a new perspective for research of origin of life.

The incidence of intrahepatic cholangiocarcinoma (ICC) continues to rise, and there are no effective drugs to treat it. The immune microenvironment plays an important role in the development of ICC and is currently a research hotspot. Icaritin (ICA) is an innovative traditional Chinese medicine for the treatment of advanced hepatocellular carcinoma. It is considered to have potential immunoregulatory and anti-tumor effects, which is potentially consistent with the understanding of "Fuzheng" in the treatment of tumor in traditional Chinese medicine. However, whether ICA can be used to treat ICC has not been reported. Therefore, in this study, sgp19/kRas, an in situ ICC mouse model with intact immune system, was selected to evaluate the efficacy of ICA in the treatment of ICC in vivo for the first time, and the effects of ICA on the tumor immune microenvironment of ICC mice were analyzed by flow cytometry. This experiment was approved by the Experimental Animal Ethics Committee of Capital Medical University (approval number: AEEI-2023-138). In this study, sgp19/kRas ICC mouse model was treated with oral gavage of 100 mg·kg^-1 ICA. We found that ICA significantly inhibited tumor growth and tumor cell proliferation in the sgp19/kRas ICC mouse model after 3 weeks of treatment. Flow cytometry analysis indicated that ICA treatment markedly reduced the proportion of M2 macrophages and increased the number of CD3⁺CD4⁺ T cells. In vitro experiments demonstrated that ICA promoted macrophage polarization towards the M1 phenotype while inhibiting polarization towards the M2 phenotype. Furthermore, transcriptomic analysis suggested that ICA enhanced Toll-like receptor 9 (TLR9) expression, influencing macrophage nitric oxide metabolism synthesis pathways and receptor-related activities, thereby regulating macrophage polarization. In summary, this study demonstrates that ICA treatment significantly delays tumor progression in sgp19/kRas ICC mouse models. Mechanistically, ICA may achieve its anti-ICC effects by upregulating TLR9 receptor expression levels, promoting macrophage polarization towards the M1 phenotype, and altering the tumor immune microenvironment.