ObjectiveTo analyze the adverse reactions associated with the clinical use of Banxia （Rhizoma Pinelliae）- Wutou （Aconitum） in the same formula， with the aim of providing a reference for the safety of their clinical application. MethodsLiterature on the clinical application of antagonistic herbs "Banxia-Wutou" used in the same formula， published from January 1st， 2014， to June 30th， 2023， was retrieved from databases including CNKI， VIP， Wanfang， SinoMed， PubMed， Cochrane Library， and Embase. A database was established， and information related to adverse reactions was extracted， including descriptions， classifications， specific manifestations， management and outcomes， patients' primary diseases （western medicine diseases and traditional Chinese medicine diagnoses and syndromes）， and medication information （dosage， ratio， administration routes， and dosage forms）. ResultsA total of 79 researches simultaneously used antagonistic herbs Banxia-Wutou in the same formula and reported associated advers reactions. Gastrointestinal adverse reactions were the most common， with 8 studies reporting management of adverse reactions and 3 studies reporting improvement with no intervention. Among the 11 researches， the adverse reaction relieved to extant， while other 69 researches didn't report the managment of adverse reaction and its prognosis. For the primary disease in western medicine system， chronic bronchitis and chronic obstructive pulmonary disease （COPD） were most common， while gastric pain was the most common symptom in traditional Chinese medicine with spleen and kidney deficiency and spleen stomach cold deficiency being the most frequent syndromes. The most common Banxia dosage was 10 g， while for the Wutou， Fuzi （Radix Aconiti Lateralis Praeparata） was predominant with the highest dose at 15 g. The most frequent herbal combination was Banxia-fuzi， with a 1∶1 ratio. The main administration route was oral， and the primary dosage form was decoction. ConclusionGastrointestinal adverse reactions are the most common in the clinical use of Banxia-Wutou antagonistic herb combinations. Research on the safety of "Banxia-Wutou" combinations should focus on respiratory system diseases and spleen-stomach related conditions.

Objective To investigate the distribution and antibiotic resistance profiles of the bacterial strains isolated from urine samples in a tertiary Traditional Chinese Medicine hospital in Shanghai in the 12-year period from 2010 through 2021 for better empirical antibiotic use in clinical practice.Methods The clinical data of patients with urinary tract infection,including the species and antibiotic resistance of the bacterial strains isolated from urine samples from January 2010 to December 2021 were retrospectively analyzed.Results A total of 5 231 nondupliate bacterial strains were isolated,among which E.coli was the most common(52.8％),followed by Enterococcus spp(19.1％)and Klebsiella spp(11.1％).Most of the urinary isolates(76.0％)were isolated from the elderly aged 60-89,and only 3.1％of the strains were isolated from the young people aged under 44.Most of the bacterial strains were isolated from female patients(75.8％),however,more P.aeruginosa and A.baumannii were isolated from male patients compared to female patients(55.3％vs 44.7％and 67.7％vs 32.3％).About 13.7％of the strains were collected from the Department of Nephrology,more than the strains from any other clincial department.In intensive care unit(ICU),the proportion of E.coli was the lowest,while the proportion of Enterococcus spp was the highest.Enterobacterales showed lower resistance raets to carbapenems,cephamycin,amikacin,cefepime,and β-lactam/β-lactamase inhibitor combinations.P.aeruginosa showed higher susceptibility rates to carbapenems,aminoglycosides and β-lactam/β-lactamase inhibitor combinations compared to A.baumannii(≥54.6％vs≤39.8％).Gram-positive cocci were highly sensitive to glycopeptide antibiotics.No SS.aureus or E.faecalis isolates were found resistant to vancomycin.About 2.7％of the E.faecium isolates were resistant to vancomycin.The prevalence of drug-resistant bacteria was the highest in elderly patients,and in the strains isolated from ICU and emergency department.Conclusions Compared with general hospitals,a high proportion of elderly patients were treated in this hospital.It should be more cautious in the treatment of patients with urinary tract infection.The major bacterial species isolated from urine were E.coli,Enterococcus,and K.pneumoniae.Empirical treatment should be prescribed considering patient age and gender as well as the species and distribution of pathogenic bacteria.Urine culture and antibiotic susceptibility testing should be performed proactively.Appropriate antimicrobial agents should be selected according to the results of antimicrobial susceptibility testing.Antimicrobial ressitance surveillance should also be strengthened.

Objective:To conduct a scoping review of research on the use of cosmetic care in breast cancer patients.Methods:Using Arksey and O'Malley's scoping review framework, PubMed, Web of Science, CINAHL, Embase, Cochrane Library, China National Knowledge Infrastructure, Wanfang Database, VIP and China Biology Medicine disc were searched for studies related to the application of cosmetic care in breast cancer patients. The search time limit was from the date construction to December 5th, 2023. The included literature were summarized and analyzed.Results:A total of 14 articles were included in this study. The intervention forms of cosmetic care were mainly education and training, group meetings, hands-on training, interviews, communication and sharing, lectures, and seminars; the content of the interventions included appearance knowledge training, image advice, make-up seminars, wig counseling and care, facial care, body care, face fixation, and prosthetic wear; and the endpoint indicators were mainly quality of life indicators, physiological indicators, psychological indicators, and social indicators.Conclusions:The content elements of the cosmetic care program were diversified, and the application of the program to breast cancer patients showed effectiveness in four aspects: quality of life, physiology, psychology, and society.

Objective:To construct and validate a risk-scoring model for predicting delayed onset of lactogenesis stage Ⅱ (DOL Ⅱ) in mothers separated from their premature infants.Methods:This was a retrospective study. (1) Modeling group: This group enrolled 310 mothers who were separated from their premature infants after delivery at Wuxi Maternal and Child Health Hospital from December 2021 to November 2022. They were further divided into the DOL Ⅱ group (144 cases) and the non-DOL Ⅱgroup (166 cases) according to whether they had DOL Ⅱ or not. Based on the results of multivariate logistic regression analysis, each risk factor was assigned a score, and a risk prediction scoring model was established. (2) Validation group: This group included 130 mothers of premature infants who experienced mother-infant separation after delivery at Wuxi Maternal and Child Health Hospital from December 2022 to March 2023. The area under the receiver operating characteristic (ROC) curve was used to evaluate the discrimination, and the Hosmer-Lemeshow test was used to assess the goodness of fit. The Chi-square test (or Fisher's exact probability test) or Wilcoxon rank sum test were used for inter-group data comparison. Results:This risk prediction scoring model included 10 risk factors [maternal age≥35 years old, hypertensive disorders of pregnancy, anemia, gestational diabetes mellitus, preterm rupture of membrane, start breastfeeding >6 hours, postpartum admission of maternal intensive care unit, cesarean section, score of Edinburgh Postpartum Depression Scale >9.5, postpartum neutrophil-to-lymphocyte ratio ≥4.369, Fatigue Scale-14 ≥7.5, body mass index in the first trimester ≥23.719 kg/m 2, postpartum BMI≥27.661 kg/m 2,and increase of BMI during pregnancy ≥5.393 kg/m 2], with an area under the ROC curve of 0.838 (95% CI: 0.795-0.882, P<0.001), a maximum Yoden index of 0.526, a specificity of 0.825, a sensitivity of 0.701, and an optimal threshold of 4.5. After rounding the score off to the nearest whole number, those with a score≥5 were defined as at high risk of DOL Ⅱ, while those with a score<5 were at low risk. Hosmer-Lemeshow test showed χ2=3.43 and P=0.634. The positive predictive value, the negative predictive value, and the accuracy were 77.7%, 76.1%, and 76.8%, respectively. In the modeling group, 130 out of the 310 cases (41.9%) were predicted to be at high risk by the model with 101 (32.6%) experiencing DOL Ⅱ, while 180 cases (58.1%) were predicted to be at low risk with 43 (13.9%) experiencing DOL Ⅱ. Among the 130 cases in the validation group, 59 (45.4%) were predicted to be at high risk with 39 (30.0%) experiencing DOL Ⅱ, while 71 (54.6%) were predicted to be at low risk with 19 (14.6%) experiencing DOL Ⅱ. The model validation results showed that the area under the ROC curve was 0.774 (95% CI: 0.693-0.855, P<0.001) and the Hosmer-Lemeshow test showed χ2=3.09 and P=0.687, with the positive predictive value of 66.1%, the negative predictive value of 73.2%, and the accuracy of 70.0%. Conclusions:This study preliminarily establishes a risk scoring model for predicting DOL Ⅱ in mothers separated from their premature infants which is of certain predictive value and can provide a reference for developing predictive lactation support measures.

With the progress of society and the continuous improvement of people′s living standards in China, the public′s demand for medical services is becoming increasingly diversified. How to move hospital services forward and improve medical services centered on patients has become a key consideration for hospitals to enhance patients′ sense of medical satisfaction. A certain hospital has established a one-stop patient service hotline, integrating functions such as number inquiry, medical consultation, appointment registration, appointment examination, praise and suggestions, complaint follow-up, etc., injecting a complaint handling management mode, and responding to and solving patient feedback problems in a timely manner. Since the launch of the patient service hotline, it has effectively solved the problems that patients encountered during their visits, effectively reduced the hospital′s complaint rate, and initially formed a service closed-loop management. From March to October 2023, the demand ratio of the 12345 hotline in the hospital has continuously decreased, and was significantly lower than the average level of 22 municipal hospitals in Beijing. In the future, we should further improve the communication skills between doctors and patients, focus on managing appeals and services, and continue to strengthen proactive governance.

Objective:To investigate the role of p-AKT-mTOR-P70S6K signaling pathway in radiation therapy for polyploid cervical cancer cells.Methods:Human cervical cancer HeLa cell lines were selected and HeLa cells were radiated under 7 Gy of 6 MV X-ray. The morphological changes of the cells were observed with an inverted microscope on day 5 after radiation induction. All cells were divided into the 7 Gy group (7 Gy X-ray radiation but not transfected polyploidy HeLa cells) and the control group (the non-radiation-induced and not transfected HeLa cells). In addition, the plasmid carrying pcDNA3 negative control sequence and the plasmid carrying pcDNA3-TT-AKT sequence were transfected into HeLa cells, respectively, which were induced by 7 Gy X-ray radiation after 48 h of transfection, and then they were recorded as the pcDNA3 + 7 Gy group and the pcDNA3-TT-AKT + 7 Gy group. Cell proliferation ability was detected by using CCK-8 assay, cell cycle was detected by using flow cytometry, cell apoptosis was detected by using mitochondrial membrane potential assay, the relative expression levels of cell proliferation, cell cycle, apoptosis and autophagy related proteins were tested by using Western blot.Results:Most of the normal HeLa cells in the 7 Gy group died on day 5 after radiation induction, and only a few surviving cells increased in size with multiple nuclei. The results of Western blot showed that the relative expression levels of p-AKT, p-mTOR and p-P70S6K in HeLa cells of the 7 Gy group were lower than those of the control group (all P < 0.05). CCK-8 assay showed that the absorbance ( A) values were 0.45±0.06, 0.65±0.06 after 48 h of culture and 0.75±0.05, 1.05±0.02 after 72 h of culture, respectively in the pcDNA3 + 7 Gy group and the pcDNA3-TT-AKT + 7 Gy group, and the differences were statistically significant (all P < 0.05), and the A values in the pcDNA3-TT-AKT + 7 Gy group were all higher than those in the pcDNA3 +7 Gy group. Flow cytometry results showed that the proportion of cells was (29.2±3.6)%, (26.7±1.7)% in G 0/G 1 phase and (29.6±1.6)%, (30.3±0.6)% in G 2/M phase, respectively in the pcDNA3 + 7 Gy group and the pcDNA3-TT-AKT + 7 Gy group, and the differences were not statistically significant (all P > 0.05); the proportion of cells in S phase was (10.2±0.9)% and (14.6±1.5)%, respectively in the pcDNA3 + 7 Gy group and the pcDNA3-TT-AKT + 7 Gy group, and the differences were statistically significant ( t = 2.86, P = 0.043). Mitochondrial membrane potential assay showed that the green fluorescence proportion was (23.1±2.5)% and (14.3±1.9)%, respectively in the pcDNA3 + 7 Gy group and the pcDNA3-TT-AKT + 7 Gy group, and the different was statistically significant ( t = 4.82, P = 0.009). Western blot results showed that the relative expression level of p-cdc25c (Ser216) in the pcDNA3-TT-AKT+7 Gy group was higher than that in the pcDNA3+7 Gy group ( P < 0.001); and the relative expression levels of Bak and LC3-Ⅱ/Ⅰ in the pcDNA3-TT-AKT+7Gy group were lower than those in the pcDNA3 +7 Gy group, respectively (all P < 0.05). Conclusions:The p-AKT-mTOR-P70S6K signaling pathway may be involved in the regulation of radiation-induced polyploidy HeLa cell proliferation, cell cycle and cell apoptosis.

Objective: QL1604 is a highly selective, humanized monoclonal antibody against programmed death protein 1. We assessed the efficacy and safety of QL1604 plus chemotherapy as first-line treatment in patients with advanced cervical cancer. Methods: This was a multicenter, open-label, single-arm, phase II study. Patients with advanced cervical cancer and not previously treated with systemic chemotherapy were enrolled to receive QL1604 plus paclitaxel and cisplatin/carboplatin on day 1 of each 21-day cycle for up to 6 cycles, followed by QL1604 maintenance treatment. Results: Forty-six patients were enrolled and the median follow-up duration was 16.5 months. An 84.8% of patients had recurrent disease and 13.0% had stage IVB disease. The objective response rate (ORR) per Response Evaluation Criteria in Advanced Solid Tumors (RECIST) v1.1 was 58.7% (27/46). The immune ORR per immune RECIST was 60.9% (28/46).The median duration of response was 9.6 months (95% confidence interval [CI]=5.5–not estimable). The median progression-free survival was 8.1 months (95% CI=5.7–14.0). Fortyfive (97.8%) patients experienced treatment-related adverse events (TRAEs). The most common grade≥3 TRAEs (>30%) were neutrophil count decrease (50.0%), anemia (32.6%), and white blood cell count decrease (30.4%). Conclusion QL1604 plus paclitaxel-cisplatin/carboplatin showed promising antitumor activity and manageable safety profile as first-line treatment in patients with advanced cervical cancer. Programmed cell death protein 1 inhibitor plus chemotherapy may be a potential treatment option for the patient population who have contraindications or can’t tolerate bevacizumab, which needs to be further verified in phase III confirmatory study.

Objective The objective of this study was to analyze the longitudinal trend of multidimensional treatment quality of breast cancer based on the latent growth mixture model(LGMM),identify potential change patterns and influencing factors,and pro-vide scientific basis for improving treatment quality and patient prognosis.Methods The quality monitoring data of breast cancer from four consecutive years were obtained in the National"Quality Monitoring System for Specific(single)Disease";Based on the item response theory(IRT),the treatment quality of breast cancer in the three dimensions of preoperative examination,treatment,and out-come was calculated;LGMM was constructed to analyze the independent and joint change trend of breast cancer treatment quality in all dimensions,and the optimal model was determined based on practical significance and statistical indicators.Results In the inde-pendent trend analysis,2 potential categories were identified for preoperative examination,treatment,and outcome dimensions.Among them,9%showed a rapid upward trend in the preoperative examination dimension,and 91%showed a relatively stable trend;The sta-ble growth accounted for 23%and slow decline accounted for 77%in the treatment dimension;13%of the outcome dimensions showed an upward trend,while 87%showed a downward trend.In the joint trend analysis of changes,2 potential categories were identified:the first category accounted for about 8%,and the preoperative examination dimension of this category had a good treatment quality,with mean intercepts and slopes of 3.326 and 3.367,respectively.The treatment quality in the treatment and outcome dimensions had steadily improved;The second category accounted for about 92%,and the treatment quality in this dimension was relatively good.Its mean intercept and slope were 0.548 and 0.018,respectively.There is still room for improvement in the treatment quality of the pre-operative examination and outcome dimensions;BMI and M stage in patient characteristics are important influencing factors on the trend of combined changes in treatment quality.Conclusion The treatment quality of breast cancer during this study period has im-proved to varying degrees in all dimensions of preoperative examination,treatment and outcome;In the joint trend analysis of the three dimensions,the improvement of treatment quality in the preoperative examination dimension can provide feasible references for subse-quent treatment and achieve the goal of reducing complications.

Objective Based on polynomial logistic regression model,this study aimed to analyze the optimal length of hospi-tal stay for patients with non-small cell lung cancer(NSCLC)at different stages to achieve the best treatment quality,providing refer-ence for improving treatment quality and formulating relevant policies.Methods The data of NSCLC cases were collected and 16 di-agnosis and treatment process indicators were selected.Patients were stratified according to the stage of lung cancer.A polynomial lo-gistic regression model was constructed,including patient characteristics to analyze the impact of first hospitalization days on the quali-ty of comprehensive treatment.Results A total of 10,053 patients with NSCLC were collected in this study,with a median compre-hensive treatment quality score of 0.60.According to the staging of lung cancer,patients were divided into the early stage group(stageⅠ-Ⅱ),locally advanced stage group(stage Ⅲ),and advanced stage group(stage Ⅳ).The first hospitalization days and treatment quality of each subgroup showed a non-linear relationship.The polynomial model results showed that after adjusting the characteristics of patients,the length of hospitalization day and the quadratic term of hospital stay had a statistically significant impact on treatment quality in each subgroup:early patients had a first hospital stay of 18 days,and locally advanced and advanced patients had a first hos-pital stay of 22 days,with the highest probability of achieving high treatment quality.Conclusion Patients in different stages have va-rying degrees of illness and treatment plans,resulting in different first hospitalization days corresponding to the highest probability of obtaining high-quality treatment.Hospitals can improve the treatment quality and medical efficiency by implementing standardized di-agnosis and treatment guidelines,strengthening the management of the diagnosis and treatment process,and reasonably controlling the first hospitalization time of patients in different stages.

Objective The aim of this study was to estimate the causal effects of non-small cell lung cancer(NSCLC)treat-ment process on in-hospital mortality based on the double robust estimation(DR)method,and provide a reference basis for reducing in-hospital mortality of NSCLC.Methods According to the quality evaluation system of NSCLC treatment,the utilization rate of treatment process indicators was calculated,and patients were divided into the high-quality or low-quality groups based on the aver-age score of treatment process quality.In-hospital mortality was used as the outcome indicator,Kaplan-Meier method and Cox regres-sion adjusted for propensity score inverse probability of treatment weighting(IPTW)correction were used to analyze the impact of treat-ment process quality on in-hospital mortality in NSCLC.DR was combined to estimate the causal effects of the treatment process on in-hospital mortality.Results The median utilization rate of treatment process indicators was 66.88%,and the mean and standard de-viation of patients′ treatment process quality scores were 0.270±0.124,including 0.358±0.069 in the high-quality group,and 0.158±0.081 in the low-quality group.After the IPTW weighting,the standardized mean difference(SMD)of patients′baseline characteris-tics decreased;The difference in survival curves between the two groups of patients before and after ITPW was statistically significant(P<0.05),and the prognosis of patients in the high-quality group was better than that of patients in the low-quality group(pre-IPTW:HR=0.367,95%CI:0.275-0.491;post-IPTW:HR=0.228,95%CI:0.167-0.312).Compared with the low-quality group,the average causal effect of treatment process on in-hospital mortality was-0.026 in the high-quality group.Conclusion DR can compensate for the shortcomings of logistic or IPTW,avoid the risk of model error,and obtain for the causal effect of treatment process on in-hospital mortality.In medical practice,the utilization rate of treatment process indicators should be increased to improve patient prognosis;The study of causal effects suggests that besides the treatment process,other factors that affect in-hospital mortality cannot be ignored.