OBJECTIVE To investigate the distribution and drug resistance of multidrug-resistant bacteria in the neonatal intensive care unit of a three-A children's hospital in Henan Province,and to provide reference for ational drug use in clinical practice.METHODS Clinical specimens from hospitalized newborns in neonatal intensive care unit from a three-A children's hospital from Jan.1,2019 to Dec.31,2023 were subjected to etiological exam-ination and drug sensitivity test,and to analyze the distribution and drug resistance of multidrug-resistant bacteri-a in hospitalized newborns.RESULTS During the 5-year period,1139 strains of multidrug-resistant bacteria were i-solated,including 229 gram-positive bacteria(20.11％)and 910 gram-negative bacteria(79.89％).There were 92 strains of methicillin-resistant Staphylococcus aureus(MRSA)(accounting for 8.08％),57 strains(accounting for 5.00％)of methicillin-resistant coagulase-negative Staphylococcus epidermidis and 28 strains(accounting for 2.46％)of methicillin-resistant coagulase-negative human Staphylococcus.370 strains(accounting for 32.48)of carbapenem-resistant Klebsiella pneumoniae(CRKP),268 strains(accounting for 23.53％)of extenspectrum β-lactamase-producing Escherichia coli and 85 strains(accounting for 7.46％)of K.pneumoniae,there were 767 sputum specimens(67.34％),160 blood specimens from peripheral intravenous puncture and central venous cath-eterization(PICC)(14.05％),63 bronchoalveolar lavage fluid specimens(5.53％),29 secretion specimens(eye and wound secretions)(2.54％),and 120 other specimens(10.54％).K.pneumoniae and E.coli producing su-per-broad spectrum β-lactamase,CRKP and MRSA were the main drug-resistant bacteria.CONCLUSION The sit-uation of drug resistance in neonatal intensive care unit is serious,therefore monitoring bacterial resistance should be strengthened according to the clinical laboratory results,and antibiotics should be applied rationally.

OBJECTIVE To standardize the strategies for prevention and control of Chikungunya(CHIK)in healthcare in-stitutions so as to reduce the risk of transmission in the institutions.METHODS A working group comprising the ex-perts in hospital infection control,infectious diseases,and microbiology systematically reviewed domestic and international evidence and current guidelines,integrated China's vector ecology and healthcare realities,conducted two rounds of Delphi to achieve expert consensus,and graded the evidence and recommendation strength using the Oxford Centre for Evidence Based Medicine system.RESULTS The consensus issues 18 actionable recommendations on triage,patient mosquito-proof isolation,integrated vector control,protection of susceptible populations,environmental cleaning and disinfection,specimen management,medical textile handling,and outbreak emergency response,with each statement assigned an evi-dence level and recommendation strength.CONCLUSION This consensus is for the first time in China to provide evidence-graded strategies for control of CHIK in healthcare institutions,offering work flow-oriented,implementable guidance for clinicians,laboratorians,and infection-control personnel under different risk scenarios and enhancing the comprehensive coping capacity of the healthcare institutions.

Objective To address the challenges of constructing large language models for traditional Chinese medicine(TCM)classics,which are complex and expensive to fine-tune,this study explores a lightweight fine-tuning method for such models,aiming to develop a question-answering model centered on TCM classics,particularly various editions of Shang Han Lun through the ages.Methods Dataset construction involved designing prompts to guide GPT-4 in generating Q&A pairs based on Shang Han Lun and integrating them with the ShenNong_TCM_Dataset and cMedQA2 datasets.Five general-purpose large models were selected for Lora fine-tuning.The best model was chosen through evaluation,and the performance of multiple quantized versions was validated.Results After fine-tuning,the BLEU,ROUGE-1,ROUGE-2,and ROUGE-L metrics for the Qwen-7B-Chat model improved by 17.61,19.63,14.3,and 21.4,respectively,compared to the base model.Conclusion The selected model in this study is capable of effectively understanding and utilizing professional terms and concepts from TCM classics,such as Shang Han Lun,to provide accurate answers to user queries.Compared to similar models,it requires lower fine-tuning costs and computational power,contributing to the dissemination of TCM knowledge and the development of intelligent systems.

Objective:To explore the effectiveness of a modified puncture method in hemodialysis patients with difficult internal fistula.Methods:From January 2022 to October 2023, patients with difficult internal fistula undergoing dialysis at the Blood Purification Center of Qingdao Municipal Hospital were selected for the study using the convenience sampling method. According to the hemodialysis time, patients dialyzed on Mondays, Wednesdays, and Fridays were included in the conventional group, and patients dialyzed on Tuesdays, Thursdays, and Saturdays were included in the experimental group, with 56 cases in each group. Internal fistula puncture was performed in the conventional group using the traditional puncture method and in the experimental group using the modified puncture method. The success rate of one-time puncture of internal fistula and the injury rate of internal fistula were compared between the two groups of patients.Results:The success rate of one-time puncture of internal fistula in the experimental group was higher than that in the conventional group, with a statistical difference ( P<0.05). The injury rate of the internal fistula vessel of the experimental group was lower than that of the conventional group, and the difference was statistically significant ( P<0.05) . Conclusions:Modified puncture methods have a positive effect on increasing the success rate of a one-time puncture of the internal fistula and decreasing the rate of internal fistula injuries in patients with difficult internal fistula.

Objective To address the challenges of constructing large language models for traditional Chinese medicine(TCM)classics,which are complex and expensive to fine-tune,this study explores a lightweight fine-tuning method for such models,aiming to develop a question-answering model centered on TCM classics,particularly various editions of Shang Han Lun through the ages.Methods Dataset construction involved designing prompts to guide GPT-4 in generating Q&A pairs based on Shang Han Lun and integrating them with the ShenNong_TCM_Dataset and cMedQA2 datasets.Five general-purpose large models were selected for Lora fine-tuning.The best model was chosen through evaluation,and the performance of multiple quantized versions was validated.Results After fine-tuning,the BLEU,ROUGE-1,ROUGE-2,and ROUGE-L metrics for the Qwen-7B-Chat model improved by 17.61,19.63,14.3,and 21.4,respectively,compared to the base model.Conclusion The selected model in this study is capable of effectively understanding and utilizing professional terms and concepts from TCM classics,such as Shang Han Lun,to provide accurate answers to user queries.Compared to similar models,it requires lower fine-tuning costs and computational power,contributing to the dissemination of TCM knowledge and the development of intelligent systems.

Objective:To explore the effectiveness of a modified puncture method in hemodialysis patients with difficult internal fistula.Methods:From January 2022 to October 2023, patients with difficult internal fistula undergoing dialysis at the Blood Purification Center of Qingdao Municipal Hospital were selected for the study using the convenience sampling method. According to the hemodialysis time, patients dialyzed on Mondays, Wednesdays, and Fridays were included in the conventional group, and patients dialyzed on Tuesdays, Thursdays, and Saturdays were included in the experimental group, with 56 cases in each group. Internal fistula puncture was performed in the conventional group using the traditional puncture method and in the experimental group using the modified puncture method. The success rate of one-time puncture of internal fistula and the injury rate of internal fistula were compared between the two groups of patients.Results:The success rate of one-time puncture of internal fistula in the experimental group was higher than that in the conventional group, with a statistical difference ( P<0.05). The injury rate of the internal fistula vessel of the experimental group was lower than that of the conventional group, and the difference was statistically significant ( P<0.05) . Conclusions:Modified puncture methods have a positive effect on increasing the success rate of a one-time puncture of the internal fistula and decreasing the rate of internal fistula injuries in patients with difficult internal fistula.

OBJECTIVE To investigate the distribution and drug resistance of multidrug-resistant bacteria in the neonatal intensive care unit of a three-A children's hospital in Henan Province,and to provide reference for ational drug use in clinical practice.METHODS Clinical specimens from hospitalized newborns in neonatal intensive care unit from a three-A children's hospital from Jan.1,2019 to Dec.31,2023 were subjected to etiological exam-ination and drug sensitivity test,and to analyze the distribution and drug resistance of multidrug-resistant bacteri-a in hospitalized newborns.RESULTS During the 5-year period,1139 strains of multidrug-resistant bacteria were i-solated,including 229 gram-positive bacteria(20.11％)and 910 gram-negative bacteria(79.89％).There were 92 strains of methicillin-resistant Staphylococcus aureus(MRSA)(accounting for 8.08％),57 strains(accounting for 5.00％)of methicillin-resistant coagulase-negative Staphylococcus epidermidis and 28 strains(accounting for 2.46％)of methicillin-resistant coagulase-negative human Staphylococcus.370 strains(accounting for 32.48)of carbapenem-resistant Klebsiella pneumoniae(CRKP),268 strains(accounting for 23.53％)of extenspectrum β-lactamase-producing Escherichia coli and 85 strains(accounting for 7.46％)of K.pneumoniae,there were 767 sputum specimens(67.34％),160 blood specimens from peripheral intravenous puncture and central venous cath-eterization(PICC)(14.05％),63 bronchoalveolar lavage fluid specimens(5.53％),29 secretion specimens(eye and wound secretions)(2.54％),and 120 other specimens(10.54％).K.pneumoniae and E.coli producing su-per-broad spectrum β-lactamase,CRKP and MRSA were the main drug-resistant bacteria.CONCLUSION The sit-uation of drug resistance in neonatal intensive care unit is serious,therefore monitoring bacterial resistance should be strengthened according to the clinical laboratory results,and antibiotics should be applied rationally.

OBJECTIVE To standardize the strategies for prevention and control of Chikungunya(CHIK)in healthcare in-stitutions so as to reduce the risk of transmission in the institutions.METHODS A working group comprising the ex-perts in hospital infection control,infectious diseases,and microbiology systematically reviewed domestic and international evidence and current guidelines,integrated China's vector ecology and healthcare realities,conducted two rounds of Delphi to achieve expert consensus,and graded the evidence and recommendation strength using the Oxford Centre for Evidence Based Medicine system.RESULTS The consensus issues 18 actionable recommendations on triage,patient mosquito-proof isolation,integrated vector control,protection of susceptible populations,environmental cleaning and disinfection,specimen management,medical textile handling,and outbreak emergency response,with each statement assigned an evi-dence level and recommendation strength.CONCLUSION This consensus is for the first time in China to provide evidence-graded strategies for control of CHIK in healthcare institutions,offering work flow-oriented,implementable guidance for clinicians,laboratorians,and infection-control personnel under different risk scenarios and enhancing the comprehensive coping capacity of the healthcare institutions.

Objective To investigate whether activation of mitochondrial acetal dehydrogenase 2(ALDH2)alleviates hypoxic pulmonary hypertension by regulating the SIRT1/PGC-1α signaling pathway.Methods Thirty 8-week-old C57 BL/6 mice were randomized into control,hypoxia,and hypoxia+Alda-1(an ALDH2 activator)group(n=10),and the mice in the latter two groups,along with 10 ALDH2 knockout(ALDH2-/-)mice,were exposed to hypoxia(10%O2,90%N2)with or without daily intraperitoneal injection of Alda-1 for 4 weeks.The changes in right ventricular function and pressure(RVSP)of the mice were evaluated by echocardiography and right ventricular catheter test,and pulmonary artery pressure was estimated based on RVSP.Pulmonary vascular remodeling,right ventricular injury,myocardial α-SMA expression,distal pulmonary arteriole muscle normalization,right ventricular cross-sectional area,myocardial cell hypertrophy,and right cardiac hypertrophy index were assessed with HE staining,immunofluorescence staining and WGA staining,and the expressions of ALDH2,SIRT1,PGC-1α,P16INK4A and P21CIP1 were detected.In pulmonary artery smooth muscle cells with hypoxic exposure,the effect of Alda-1 and EX527 on cell senescence and protein expressions was evaluated using β-galactose staining and Western blotting.Results The wild-type mice with hypoxic exposure showed significantly increased RVSP,right ventricular free wall thickness and myocardial expressions of P16INK4A and P21CIP1,which were effectively lowered by treatment with Alda-1 but further increased in ALDH2-/-mice.In cultured pulmonary artery smooth muscle cells,hypoxic exposure significantly increased senescent cell percentage and cellular expressions of P16INK4A and P21CIP1,which were all lowered by treatment with Alda-1,but its effect was obviously attenuated by EX527 treatment.Conclusion ALDH2 alleviates hypoxia-induced senescence of pulmonary artery smooth muscle cells by upregulating the SIRT1/PGC-1α signaling pathway to alleviate pulmonary hypertension in mice.

With the advent of big data era and improvement of computer performance, the artificial intelligence (AI) technology has rapidly boosted in the field of stomatology. Dental caries is one of the cutting-edge research domains in stomatology. The application of AI in dental caries is expected to promote intelligent, precise and high-efficient diagnosis and treatment of caries. This article focuses on the application of AI in medical-aided diagnosis, treatment and risk prediction of caries and discusses their challenges.