Continuous care can effectively improve the quality of life, self-management ability and health outcomes of lung transplant recipients, and is important for reducing readmission rates and medical costs, but there are no standardized criteria for evaluating the quality of continuous care for lung transplant recipients. Based on the Donabedian three-dimensional quality evaluation model, this paper presents a review of the indicators for evaluating the quality of continuous care for lung transplant recipients, and analyses the current state of the art of assessing the quality of care in the current literature, in order to provide reference for the development of a multi-dimensional, highly sensitive and specific evaluation index system for lung transplant recipients′ continuous care, as well as providing a direction for future research and clinical application.

OBJECTIVE To observe the isolation rates and drug resistance rates of Acinetobacter baumannii strains isolated from intensive care unit(ICU)patients in 8 consecutive years so as to provide bases for reasonable clinical application of antibiotics and control of infections.METHODS The isolation rates and specimens from which the A.baumannii and carbapenem-resistant A.baumannii(CRAB)strains were isolated from ICU patients of the First People's Hospital of Changzhou between 2017 and 2024 were retrospectively analyzed.The trends of the drug resistance rates were observed.RESULTS Totally 2078(18.03％)strains of A.baumannii were isolated from the ICU patients from 2017 to 2024,and there was no significant difference in the changing trend among the years(x2=-1.573,P=0.116).Among the A.baumannii strains that were isolated from 2017 to 2024,58.08％were isolated from sputum,and 24.25％from lavage fluid specimens;the percentage of sputum specimens showed a downward trend in the 8 years(x2=-8.257,P＜0.001),while the percentage of lavage fluid speci-mens showed an upward trend(x2=12.964,P＜0.001).The isolation rate of the CRAB strains was 91.48％in 2017,92.61％in 2018,92.56％in 2019,82.53％in 2020,52.44％in 2021,showing a down-ward trend,and it began to rise in 2022-2024,there was significant difference(x2=-2.277,P=0.012).The isolation rates of the CRAB strains from both sputum and lavage fluid specimens showed downward trends and then upward trends(all P＜0.05).The drug resistance rates of the A.baumannii strains to piperacillin and minocycline showed slow upward trends,while the drug resistance rates to gentamicin and tigecycline showed downward trends,and there were significant differences(P＜0.05).The drug resistance rates of the A.bau-mannii strains to imipenem and meropenem remained more than 90％.CONCLUSIONS Acinetobacter spp is the major pathogen causing the hospital-acquired infection.The isolation rate of CRAB strains shows a downward trend then a upward trend in recent two years.It is necessary for the hospital to standardize the submission of spu-tum specimens and increase the aseptic submission.The A.baumannii strains show high drug resistance rates to the commonly used antibiotics.Polymyxin B,tigecycline and minocycline are the major antibiotics for treatment of CRAB infection.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Objective:To develop and validate a 30-day readmission risk prediction model for patients with chronic obstructive pulmonary disease (COPD) using multiple machine learning algorithms.Methods:Convenience sampling was used to select 1 450 COPD patients hospitalized at Tianjin Medical University General Hospital from January 2017 to December 2023 as study subjects. Twenty-nine variables associated with readmission were included. LASSO was used to screen for primary characteristic variables associated with 30-day readmission. The 1 450 patients were divided into a training set ( n=870) and a test set ( n=580) in a 6∶4 ratio. Ten machine learning methods, including random forest, AdaBoost, extreme radient Boosting (XGB), decision tree and so on, were used for model training and testing to identify the optimal prediction model. The optimal model and SHAP were employed to analyze key features and rank characteristic importance. Results:Among 1 450 COPD patients, the 30-day readmission rate was 24.48% (355/1 450). There were no significant differences in the general information between patients in test set and training set ( P>0.05). LASSO regression analysis identified seven variables with the highest predictive value, namely regular weekly exercise, hospital stay, mean arterial pressure, forced expiratory volume in one second/forced vital capacity (FEV1/FVC), C-reactive protein, body mass index, and medication adherence. Machine learning showed that in the training set, XGB had the highest area under the receiver operating characteristic curve ( AUC), sensitivity, and F1 score of 0.943, 0.926, and 0.930, respectively. In the test set, the AUC and accuracy of XGB were 0.882 and 0.858, respectively, and XGB's various scores showed that it had good generalization and predictive performance. XGB analysis showed that medication adherence, FEV1/FVC, and regular weekly exercise were negatively correlated with the 30-day readmission risk, while body mass index, C-reactive protein, mean arterial pressure, and hospital stay were positively correlated. The characteristics ranked in order of importance were medication adherence, body mass index, C-reactive protein, mean arterial pressure, FEV1/FVC, hospital stay and regular weekly exercise. Conclusions:The XGB model has strong predictive performance and good generalization ability, which can effectively predict the 30-day readmission risk of COPD patients, assist in clinical identification of high-risk patients, implement nursing interventions, and reduce readmission rates.

Continuous care can effectively improve the quality of life, self-management ability and health outcomes of lung transplant recipients, and is important for reducing readmission rates and medical costs, but there are no standardized criteria for evaluating the quality of continuous care for lung transplant recipients. Based on the Donabedian three-dimensional quality evaluation model, this paper presents a review of the indicators for evaluating the quality of continuous care for lung transplant recipients, and analyses the current state of the art of assessing the quality of care in the current literature, in order to provide reference for the development of a multi-dimensional, highly sensitive and specific evaluation index system for lung transplant recipients′ continuous care, as well as providing a direction for future research and clinical application.

The triple energizer is the pathway for the transportation and metabolism of qi,blood and body fluid in the body,and the xuanfu(sweat pores)is the way for the ascending,descending,exiting,and entering of qi movement in the muscular striae and the exterior.Professor Li Huilin believes that the pathogenesis of acne is usually due to the dysfunction of triple energizer and the stagnation of depressed yang-heat,which result into the abnormal opening and closing of the xuanfu and the accumulation of heat-toxin in the muscular striae.For the treatment of acne with traditional Chinese medicine,it is necessary to pay attention to the regulation of triple energizer-xuanfu.The treatment should be based on unblocking therapy,and the therapeutic principle of unblocking triple energizer and opening xuanfu should be taken into account.In clinical practice,it is necessary to identify the syndromes of upper energizer,middle energizer and lower energizer.The syndrome of the upper energizer is often due to fire-heat,which results from the wind-heat in lung meridian or the exuberance of heart fire.The upper-energizer syndrome can be treated by the therapy of relieving and clearing the pathogens with light and mild drugs,expelling fire-heat to open sweat pores,and through the modified use of Mahuang Lianqiao Chixiaodou Decoction,Ma Xing Shi Gan Decoction,or Puji Xiaodu Decoction.The syndrome of the middle energizer is usually due to the qi stagnation,which results from intense stomach-heat,damp-heat in the spleen and stomach,liver depression and qi stagnation,or spleen deficiency with dampness accumulation.The middle-energizer syndrome can be treated by the therapy of regulating qi movement to relieve stagnation and open sweat pores,and through the modified use of Qingwei san,Sanren Decoction,Huanglian Wendan Decoction,Chaihu Shugan Powder,or Heqi Powder.The syndrome of the lower energizer is often due to healthy-qi deficiency,which results from yin deficiency of liver and kidney,or deficiency-cold in lower energizer.The lower-energizer syndrome can be treated by the therapy of cultivating the vital essence and consolidating vital base,supplementing deficiency to open sweat pores,and through the modified use of Liuwei Dihuang Pills or Yanghe Decoction.

Objective To investigate the acupoint selection patterns for treating diabetic cardiac autonomic neuropathy(DCAN)using data mining techniques,providing evidence for clinical practice.Methods Literature on acupuncture treatment for DCAN was retrieved from CNKI,Wanfang,VIP,and PubMed.The publication dates of the included literature ranged from the inception of each database to April 2024.Descriptive analysis,association rule analysis,and cluster analysis were performed on acupoint prescriptions,with the selection patterns of meridians and acupoints were summarized.Results A total of 27 articles were included,involving 18 acupoints.The top 10 high-frequency acupoints were Neiguan(PC6),Xinshu(BL15),Pishu(BL20),Zusanli(ST36),Sanyinjiao(SP6),Shenmen(HT7),Taixi(KI3),Lingtai(GV10),Shendao(GV11),and Shenshu(BL23).The primary meridians selected were the bladder meridian of foot-taiyang and the pericardium meridian of hand-jueyin.Specific acupoint categories predominantly included back-shu points and five transport points.Association rule and cluster analyses identified core acupoint combinations centered on Xinshu,Neiguan,Pishu,and Zusanli.Conclusion The core acupoint combination for treating DCAN with acupuncture comprises Xinshu,Neiguan,Pishu,and Zusanli.

Objective To explore the medication rules of Professor Li Huilin in treating Hashimoto's thyroiditis(HT)complicated with hypothyroidism using data mining techniques based on the R language.Methods Prescription data of the patients with HT complicated with hypothyroidism treated by Professor Li Huilin in outpatient clinics from March 2023 to March 2024 were collected.A database was established using Microsoft Excel 2021,and R language was employed to analyze the frequency,efficacy,properties and flavors,and meridian tropism of the medicinals from Chinese herbal prescriptions.Additionally,correlation analysis,association rule analysis,and cluster analysis were performed on the medicines from Chinese herbal prescriptions.Results A total of 57 Chinese herbal prescriptions involving 125 medicinals with 782 medication frequencies were included.The top 10 frequently-used medicinals were Glycyrrhizae Radix et Rhizoma Praeparata cum Melle(Zhigancao),Angelicae Sinensis Radix(Danggui),Atractylodis Macrocephalae Rhizoma(Baizhu),Astragali Radix(Huangqi),Bupleuri Radix(Chaihu),Cinnamomi Ramulus(Guizhi),Leonuri Herba(Yimucao),Paeoniae Radix Alba(Baishao),Poria(Fuling),and Fici Simplicissimae Radix(Wuzhimaotao).Most of the medicinals had therapeutic action of tonifying deficiency.The analysis of properties and flavors showed that the majority of medicinals were mild or warm in nature,and sweet in flavor.The top three meridians having the tropism of medicinals were the liver,lung,and spleen meridians.Correlation analysis identified five strongly-correlated herbal combinations.Association rule mining revealed a core herbal combination consisting of seven medicinals of Zhigancao,Huangqi,Danggui,Chaihu,Codonopsis Radix(Dangshen),Baizhu,and Cyperi Rhizoma(Xiangfu).Cluster analysis of medicinals with a frequency of≥5 yielded five groups of herbal combination.Conclusion For the treatment of HT complicated with hypothyroidism,Professor Li Huilin follows the principle of addressing the root cause of the disease,and focuses on strengthening the spleen and replenishing qi.Moreover,attention is given to soothing the liver and regulating qi,harmonizing qi and blood simultaneously,and treating symptoms and root cause simultaneously.

OBJECTIVE To explore the implementation and standardized management of infection control core ele-ments in grass-roots medical institutions within county-level medical communities.METHODS From Mar.2024 to Apr.2024,the current status of implementation of infection control core elements in the grass-roots medical institu-tions within county-level medical communities was investigated by means of questionnaire survey and qualita-tive interview,and the implementation strategies were further explored.RESULTS The infection management or-ganizational system and functions of the two county-level medical institutions within the county medical communi-ties were completed,there is no independent hospital infection management department in the primary medical in-stitutions.The infection management personnel in the 16 grass-roots medical institutions were part-time person-nel,the personnel with the educational background below junior college accounted for 84.21％,the personnel with the professional background of nursing accounted for 100.00％,the personnel with less than 5 years of working experience accounted for 78.95％,none of them had an on-the-job training certificate.The monitoring programs of the county-level medical institutions within the county medical communities were completed,there was no infec-tion management monitoring information platform in the grass-roots medical institutions.The infection cases,hand hygiene,environmental health and occupational exposures were monitored by people.The grass-roots medi-cal institutions had the highest requirements for various professional trainings and increase of training contents of prevention and control of public health infectious diseases(100.00％).The county-level medical institutions had inadequate capabilities of professional examination of medical equipment replacement and construction of medi-cal architecture.CONCLUSION It is necessary for the country and local levels of governments to attach great importance to the implementation of the infection control core elements in the grass-roots medical institutions within the county-lev-el medical communities,establish the county-level regional information platform,formulate the corresponding surveil-lance indexes and homogenized management systems,complete the cultivation of talents,and offer financial support.

Objective:To investigate the regulatory role of the tumor suppressor gene ARID1A(AT-rich interaction domain 1A)in the proliferation of lung adenocarcinoma(LUAD)cells and its molecular mechanism associated with the protein kinase B(AKT)signaling pathway.Methods:Stable ARID1A-overexpressing A549/H1299 cell models were constructed via lentiviral transfection,with transfection efficiency validated by RT-PCR and Western blot.Cell viability was assessed using the CCK-8 assay,proliferation rate was evaluated using EdU staining,and migration capacity was analyzed by scratch assay.Cell death was evaluated through Calcein/PI live/dead staining and trypan blue exclusion.The phosphorylation level of AKT(p-AKT/AKT ratio)was detected by Western blot.The role of AKT in proliferation regulation was further validated by treating overexpressing cells with the AKT inhibitor MK-2206(1 μmol/L).Results:ARID1A overexpression significantly inhibited the proliferation and migration of A549/H1299 cells while upregulating p-AKT levels.MK-2206 treatment abolished the inhibitory effects of ARID1A overexpression on proliferation.Cell death assays demonstrated no significant impact of ARID1A overexpression on LUAD cell mortality.Conclusion:ARID1A specifically suppresses LUAD cell proliferation and migration by activating the AKT signaling pathway,suggesting that targeting AKT may provide a potential therapeutic strategy for LUAD patients with ARID1A deficiency.