Purpose To investigate the clinical and patho-logical characteristics,molecular characteristics,treatments and prognosis of adenoid cystic carcinoma(AdCC)of the breast.Methods A retrospective analysis was conducted on the clini-cal pathology of 14 breast AdCC patients,and HE,immunohis-tochemistry,FISH testing,and follow-up were performed.Re-sults All cases were female,aged 43～70 years.10 cases of classic AdCC and 4 cases of solid-basal cell AdCC(SB-AdCC)were included.The tumor was composed of epithelial,myoepi-thelial and basal-like cells arranged in sieve,tubular and solid pattern with fibrous mucinous or glassy changes in the stroma.The tumor cells of SB-AdCC were moderately to severely atypical with frequent mitosis and necrosis,accompanied by ductal carci-noma in situ(DCIS).Expression of ER(1/14),PR(1/14),HER2(0/14),CK7(14/14),p63(12/14),CK5/6(14/14),CD117(13/14),MYB(9/14)was detected;Ki67 index was 13.2％and 46.1％in classic AdCC and SB-AdCC,respec-tively.The MYB rearrangement rates in classic AdCC and SB-AdCC were 55.6％(5/9)and 25％(1/4),respectively.All patients were underwent surgical resection and/or radiotherapy and chemotherapy.During the follow-up period(2-62 months),1 SB-AdCC patient died due to lung and liver metasta-sis,while the other 10 patients survived without tumors.Con-clusion SB-AdCC is more invasive than classical AdCC with lower frequency of MYB gene rearrangement,and immunohisto-chemical detection of MYB protein has potential value in assis-ting the diagnosis of SB-AdCC.

Objective To investigate the microbiota composition and diversity between autogenous and anautogenous Culex pipiens pallens, so as to provide insights into unraveling the pathogenesis of autogeny in Cx. pipiens pallens. Methods Autogenous and anautogenous adult Cx. pipiens pallens samples were collected at 25 ℃, and the hypervariable regions of the microbial 16S ribosomal RNA (16S rRNA) gene was sequenced on the Illumina NovaSeq 6000 sequencing platform. The microbiota abundance and diversity were evaluated using the alpha diversity index, and the difference in the microbiota structure was examined using the beta diversity index. The microbiota with significant differences in the abundance between autogenous and anautogenous adult Cx. pipiens pallens samples was identified using the linear discriminant analysis effect size (LEfSe). Results The microbiota in autogenous and anautogenous Cx. pipiens pallens samples belonged to 18 phyla, 28 classes, 70 orders, 113 families, and 170 genera, and the dominant phyla included Proteobacteria, Bacteroidetes, and so on. At the genus level, Wolbachia was a common dominant genus, and the relative abundance was (77.6 ± 11.3)% in autogenous Cx. pipiens pallens samples and (47.5 ± 8.5)% in anautogenous mosquito samples, while Faecalibaculum (0.4% ± 0.1%), Dubosiella (0.5% ± 0.0%) and Massilia (0.5% ± 0.1%) were specific species in autogenous Cx. pipiens pallens samples. Alpha diversity analysis showed that higher Chao1 index and ACE index in autogenous Cx. pipiens pallens samples than in anautogenous samples (both P values > 0.05), and lower Shannon index (P > 0.05) and Simpson index (P < 0.05) in autogenous Cx. pipiens pallens samples than in anautogenous samples. LEfSe analysis showed a total of 48 significantly different taxa between autogenous and anautogenous Cx. pipiens pallens samples (all P values < 0.05). Conclusion There is a significant difference in the microbiota diversity between autogenous and anautogenous Cx. pipiens pallens.

Purpose To investigate the clinical and patho-logical characteristics,molecular characteristics,treatment and prognosis of systemic ALK-negative anaplastic large cell lympho-ma(ALCL).Methods Retrospective analysis was conducted on the clinical pathology,immunophenotype,molecular charac-teristics,treatment and prognosis of 18 cases of systemic ALK-ALCL.HE,immunohistochemistry,FISH,and NGS tests were performed,and relevant literatures were reviewed.Results Systemic ALK-ALCL tended to occur in elderly men,often in the advanced stage,mainly in lymph node lesions.The extran-odal primary sites included the primary pancreas and primary thoracic vertebrae.Morphological examination showed 17 cases belong to common type,1 case belong to"Hodgkin like"type.CD30 was diffuse and strongly positive in tumor cells(＞75％),CD2(16/17),CD3(13/18),CD5(4/18),CD7(8/18),CD4(14/18),TIA-1(16/18),CD8(2/16),GATA-3(10/12),EMA(3/5),MUM1(12/12),CD43(6/6)and CD56(2/8)were positive to varying degrees.The Ki67 proliferation index of 30％to 90％,PD-L1(22C3)(TPS=0-100％),ALK,CD15,CD79α and CD20 were all negative.FISH detection:5 cases of TP63 deficiency and 2 cases of DUSP22 deficiency;NGS detection:16 cases of gene mutations occurred,with a fre-quency of 0-11 gene mutations and an average of 4.2 gene mu-tations;ALK-ALCL with TP63 rearrangement was more likely to occur in women,mostly in lymph nodes,late clinical staging,susceptibility to p53 gene abnormalities,low PD-L1 expression rate and high mortality rate.Conclusion Systemic ALK-ALCL with TP63 rearrangement is associated with many adverse factors,the clinical process is often invasive with poor progno-sis.

Objective To analyze the effect of Meleis transition theory in the intervention of family caregivers of advanced lung cancer patients.Methods From January 2022 to June 2023,94 patients with advanced lung cancer and their family caregivers treated in 4 hospitals of a tertiary A hospital in Zhejiang Province were selected by convenience sampling method,and they were divided into a control group(n=47)and an experimental group(n=47)according to random number table method.The family caregivers of the experimental group received a four-week intervention based on the Meleis transition theory on the basis of routine nursing education,including role recognition,disease knowledge,life care,psychological support,and social resource connection.Family caregivers in the control group received routine nursing education,caregiving education and guidance.The differences in the readiness,caring ability,psychological burden and patients'quality of life were compared between the 2 groups.Results There was no lost follow-up cases in the control group and experimental group.After intervention,the preparation,ability,and quality of life of family caregivers in the experimental group were better than those in the control group,and the psychological burden of caregivers was significantly lower than that in the control group(P＜0.05).Conclusion The intervention of caregiving ability of family caregivers based on Meleis transition theory can effectively improve the caregiving ability of caregivers,reduce the psychological burden of caregivers,improve the quality of care,and improve the quality of life of patients.

Objective To review the application of shared decision making in acute coronary syndrome,so as to provide references for future research and application.Methods Based on the scoping review methodology,a systematic search was conducted in SinoMed,CNKI,Wanfang,PubMed,Embase,Cochrane Library,Web of Science,and CINAHL.The search time limit was from the establishment of the database to January 8,2023,and the included literature was summarized and analyzed.Results A total of 17 articles were included.The application of shared decision making in acute coronary syndromes includes diagnosis,treatment,primary and secondary prevention.5 patient decision aids were retrieved.The influencing factors include patient factors,medical staff factors and implementation process factors.The clinical application has good effectiveness and feasibility.Conclusion Shared decision making can help patients with acute coronary syndrome to increase their decision making knowledge,improve their decision-making experience and improve the quality of decision making.In the future,we should broaden the application scope of shared decision making in acute coronary syndromes,develop scientific and practical decision aids,take targeted measures,and explore the application of shared decision making in clinical diagnosis and treatment in China.

Objective To explore the influencing factors of rational perioperative drug use,and to establish a rationality prediction model based on machine learning to assist pharmacists in prescription review.Methods A retrospective analysis was conducted on the perioperative prescription data of neurosurgery patients from a tertiary hospital and a central hospital in Shanxi Province between March 2021 and March 2023.Univariate analysis and multivariate Logistic regression were initially used to identify factors influencing rational drug use,followed by Lasso regression and multicollinearity analysis to select important variables.The data was split into a training set and test set at a ratio of 7∶3,and decision tree(DT),multi-layer perceptron(MLP),extreme gradient boosting(XGBoost),support vector machine(SVM),and random forest(RF)learning models were constructed.Results A total of 1 500 prescriptions were included,of which 668 were classified as rational and 832 as irrational.In both the training and test sets,the AUC values of the DT,XGBoost,and RF models exceeded 0.9.The DT model showed the highest sensitivity(0.81),while the RF model demonstrated the highest specificity(0.90).In the RF model,the number of comorbidities,preoperative waiting time,total hospitalization cost,prescribing physician's title,and adverse reaction occurrence negatively impacted prescription rationality,whereas the number of drugs,age,and administration route positively influenced rationality.Conclusion The machine learning-based rational drug use prediction model demonstrates strong predictive performance,effectively assisting pharmacists in prescription review and helping to reduce the incidence of irrational drug use.

Objective:To study the association of frailty status with nutritional risk and the effect on clinical outcomes among elderly surgical inpatients.Methods:Elderly inpatients from the surgery department of Beijing Hospital were enrolled from January to June 2021. Frail scale and nutritional risk screening 2002 (NRS 2002) were used for frailty evaluation and nutrition risk screening. The influence of frailty and associated nutrition risk in elderly surgical inpatients was analyzed.Results:487 elderly surgical patients were included, of whom 131 cases were in the non-frailty group, 279 cases were in the pre-frailty group and 77 cases were in the frailty group, according to the Frail scale score. 146 cases were at nutritional risk, of whom 8 (6.1% of 131) were in the non-frailty group, 87 (31.2% of 279) in the pre-frailty group and 51 (66.2% of 77) were in the frailty group. According to univariate/multivariate logistic regression analysis of frailty in elderly surgical patients, a higher NRS 2002 score, older age, and the presence of multiple concurrent diseases (≥ 5) were significantly associated with frailty ( P < 0.001). The Frail scale score was positively correlated with NRS 2002 score ( r = 0.448, P < 0.01). Multiple comparisons showed that frailty had statistically significant effects on hospital stay and medical costs in elderly surgical patients ( P < 0.05). Conclusions:The prevalence of frailty is higher in elderly surgical patients, and the prevalence of nutritional risk increases with the progression of frailty. Frailty can lead to prolonged hospital stays and increased hospital costs in elderly surgical patients.

Objective:To analyze the correlation between nutritional status and frailty and sarcopenia in geriatric inpatients (GIPs) planning to receive major hepatopancreatobiliary (HPB) surgery.Methods:From December, 2020 to September, 2022, GIPs who were planning to receive major HPB surgery were recruited. Nutritional assessment was performed using nutritional risk screening 2002 (NRS-2002) and Global Leadership Initiative on Malnutrition (GLIM) criteria. Frailty and sarcopenia assessment were performed using Fried frailty phenotype (FFP) and Asian Working Group for Sarcopenia (AWGS) 2019 consensus on sarcopenia diagnosis and treatment. The prevalence and concurrence of malnutrition, frailty and sarcopenia were investigated, and the correlation between nutritional status and frailty and sarcopenia was analyzed.Results:A total of 144 participants at the mean age of (70.10±7.44) years were included. The prevalence of nutritional risk, malnutrition, and severe malnutrition were 73.6% ( n ?=?106), 68.1% ( n ?=?98), and 34.7% ( n ?=?50) respectively. The prevalence of frailty was 20.8% ( n ?=?30) and that of sarcopenia was 35.4% ( n ?=?51). The prevalence of severe malnutrition increased significantly in older participants and the prevalence of nutritional risk, malnutrition and severe malnutrition decreased significantly with higher BMI. The prevalence was 35.4% (51/144) for concurrent sarcopenia and malnutrition, 19.4% (28/144) for frailty and malnutrition, 14.6% (21/144) for sarcopenia and weakness, and 14.6% (21/144) for sarcopenia, malnutrition, and weakness. There was a positive correlation between nutritional risk and frailty ( r = 0.603, P < 0.001). The risk of pre-frailty and frailty in the nutritional risk group was higher than that in the non-nutritional risk group ( χ 2 = 31.830, P < 0.001). The risk of pre-frailty and frailty in the malnutrition group was higher than that in the normal nutrition group ( χ 2 = 36.727, P < 0.001). Logistic regression analysis showed that the risk of frailty in patients with severe malnutrition was 12.303 times higher than that in patients with normal nutrition status (95% CI: 2.592 to 58.409, P = 0.002). The risk of sarcopenia in the nutritional risk group was higher than that in the non-nutritional risk group ( χ 2 = 13.982, P < 0.001). The risk of sarcopenia in the malnutrition group was higher than that in the normal nutrition group ( χ 2 = 37.066, P < 0.001). Conclusions:The prevalence and concurrence rate of malnutrition, frailty, and sarcopenia are high in GIPs undergoing major HPB surgery. GIPs with malnutrition are susceptible to frailty.

Objective:To investigate the prevalence of malnutrition in elderly patients with neurological diseases and the of nutrition, and to explore their association with clinical outcomes.Methods:A retrospective study was conducted to analyze 566 elderly patients with neurological diseases in the database of the "National Multicenter Survey on the Dynamic Changes of Nutritional Status of Hospitalized Patients" by using the Global leadership Initiative on Malnutrition(GLIM)criteria and subjective global assessment(SGA). The two diagnostic tools for malnutrition were compared to explore the correlation between malnutrition and clinical outcomes.Results:Based on the GLIM criteria, 83 cases were diagnosed with malnutrition and the incidence of malnutrition was 14.66%(83/566), with 14.72%(48/326)in men and 14.58%(35/240)in women.Patients with moderate malnutrition accounted for 8.30%(47/566)and patients with severe malnutrition accounted for 6.36%(36/566). According to the SGA, the incidence of moderate malnutrition(SGA Grade B)was 15.55%(88/566), the incidence of severe malnutrition(SGA Grade C)was 1.94%(11/566), and all cases of malnutrition(SGA Grade B+ C)accounted for 17.49% of the participants(99/566). The total length of hospital stay was(15.46±6.49)days in the malnutrition group and(13.55±5.09)days in the non-malnutrition group, with a statistical difference between the two groups( t=-3.02, P<0.01). The body weight of the malnutrition group was significantly lower than non-malnutrition group[(52.0±8.5)kg vs.(65.2±9.6)kg, t=12.92, P<0.01]. There were also statistically significant differences in BMI(19.1±2.7 kg/m 2vs.23.9±2.6 kg/m 2, t=15.48, P<0.01), upper arm circumference[(22.3±2.5)cm vs.(28.3±3.9)cm, t=7.01, P<0.01], and lower leg circumference[(28.9±3.4)cm vs.(32.5±3.3)cm, t=6.81, P<0.01]between the two groups.Laboratory tests showed that there were significant differences in lymphocytes[(5.0±8.5)×10 9/L vs.(9.4±11.8)×10 9/L, t=3.61, P<0.01]and albumin[(38.5±4.4)g/L vs.(40.7±5.1)g/L, t=3.18, P<0.01]between the malnutrition group and the non-malnutrition group.The correlation between GLIM and SGA was good, and the consistency was reasonable(AUC=0.711). Conclusions:The incidence of malnutrition in elderly patients with neurological diseases is relatively high; The GLIM criteria are suitable for the diagnosis of malnutrition in elderly patients with neurological diseases, and the diagnostic results have a good correlation with those of SGA.Malnutrition is associated with anthropometric measurements, laboratory indicators, and clinical outcomes.