Purpose:To estimate the curative effects and side effects obtained from high-dose epirubicin (EPI) combination therapy in the treatment of advanced chest malignant tumors. Methods:Forty-eight cases with advanced chest malignant tumor(32 cases with non-small-cell lung cancer; eleven cases with breast cancer and five cases with mediastinal malignant lymphomas) were treated with the combination therapy of high-dose EPI. Results:The response rate in non-small-cell lung cancer was 56.3%, in breast cancer was 72.7%, in mediastinal malignant lymphomas was 100%. The most frequent toxicities were neutropenia.Conclusions:The combined chemotherapy of high-does EPI is an effective and safe treatment in advanced chest malignant tumor.

Objective To investigate the subjective quality of life(SQOL)in schizophrenia outpatients and explore the relationships among symptomology,drug-induced extrapyramidal side effects(EPS)and SQOL.Methods198 eligible subjects were recruited and interviewed using standard instruments.Multiple linear regression with stepwise method was used.ResultsEPS was found to significantly predict physical SQOL domain while anxiety and positive symptoms predicted psychological,social and environmental SQOL domains,respectively.ConclusionSQOL of schizophrenia outpatients could be improved if their anxiety and positive symptoms and EPS are effectively controlled.

BACKGROUND:More recently, the focus has been on searching for a compound Chinese medicine for reinforcing kidney, which cannot only inhibit bone absorption, but also promote osteogenesis to protect against osteoporosis. OBJECTIVE:To explore effects of drug serum of Jianbuhuqian pil s on proliferation and function of osteoblast-like cel s in vitro. METHODS:Twenty-four adult female Sprague-Dawley rats were randomly divided into low-dose, medium-dose, high-dose and normal saline groups, and given intragastric administration of 1.5, 3.0, and 6 g/kg Jianbuhuqian pills and equal volume of normal saline, respectively twice daily for 1 week. At 1 hour after final gavage, rats were decapitated to prepare drug sera used for culturing osteoblast-like cells. At 24, 48 and 72 hours of culture, the cellular morphology was observed, as well as the cell proliferation and alkaline phosphatase activity was detected by MTT assay and alkaline phosphatase staining, respectively. RESULTS AND CONCLUSION:Compared with the normal saline group, the cel density began to increase significantly in three Jianbuhuqian groups at 24 hours after culture, mitotic figures were easy to be observed, cel s were in overlapping growth, much secretions and matrix accumulation appeared, especial y in the high-dose group. The obsorbance values in Jianbuhuqian groups were significantly higher than that in the normal saline group. After 24 hours of culture, the obsorbance values in the medium-dose and high-dose groups were significantly increased compared with the low-dose group, and the values showed significant differences among three Jianbuhuqian groups after 48 and 72-hour culture. In addition, the alkaline phosphatase activity presented overt increase in the Jianbuhuqian groups compared with the normal saline group, and significant differences could be found among Jianbuhuqian groups. To conclude, the drug serum of Jianbuhuqian pil s can promote the activity of osteoblast-like cel s in a time-and concentration-dependent manner.

Abstract: Objective　To investigate the antimicrobial activity of omadacycline (OMC) against clinical Streptococcus agalactiae (GBS) isolates, as well as its relationship with biofilm formation, resistance genes and virulence genes. Methods　A total of 136 strains of Streptococcus agalactiae isolated from Shenzhen Nanshan People's Hospital between 2015 to 2020. The minimum inhibitory concentration (MIC) of OMC against Streptococcus agalactiae was determined by broth microdilution. Crystal violet staining was used to detect the biofilm formation ability of GBS. Resistance genes (tetM, tetO, tetK, ermB, OptrA) and virulence genes (cpsⅢ, bca, fbsA, cpsA, scpB) were investigated by polymerase chain reaction (PCR). Results　Among the 136 clinical isolates of GBS, 20 strains (14.7%) were resistant to OMC, 64 (47.1%) were intermediate, and 52 (38.2%) were sensitive. Fifty-seven strains (41.9%) were biofilm-positive, 20 of which (35.1%) were sensitive to OMC. Seventy-nine strains (58.1%) were biofilm-negative, 32 of which (40.5%) were susceptible to OMC. There was a statistically significant difference in the sensitivity rates between the two groups of strains (χ2=63.062, P<0.001), but there was no significant difference in the sensitivity of OMC among the biofilm-positive strains (Fisher's exact test, P=0.824). The resistance rates of tetM, tetO, ermB and OptrA positive strains were higher than those of negative strains, while tetK was opposite. The presence of tetM (Z=0.815, P=0.415), tetO (Z=0.151, P=0.88), tetK (Z=0.567, P=0.571), ermB (Z=1.198, P=0.231) resistance genes in Streptococcus agalactiae had no significant impact on the sensitivity of OMC. However, the presence of the OptrA resistance gene showed a statistically significant effect on the sensitivity of OMC (Z=2.913, P=0.004). The virulence factors cpsⅢ, bca, fbsA, cpsA and scpB were all detected at a rate higher than 50%. The presence of the virulence genes cpsⅢ (Z=0.222, P=0.824), bca (Z=0.141, P=0.888), fbsA (Z=0.813, P=0.416), and cpsA (Z=1.615, P=0.106) in Streptococcus agalactiae had no significant impact on the sensitivity of OMC. However, there was a significant inter-group difference in the scpB virulence gene (Z=2.844, P=0.004), but the rank mean values and resistance rates of scpB-positive strains were lower than those of the negative strains. Conclusions　The formation of biofilm in Streptococcus agalactiae reduces its sensitivity to OMC, but there was no significant difference in the sensitivity to OMC among the biofilm-positive strains. The presence of resistance genes tetM, tetO, tetK, ermB, and virulence genes cpsⅢ, bca, fbsA, cpsA, scpB in Streptococcus agalactiae is not associated with OMC resistance, but the presence of the resistance gene OptrA is correlated with OMC resistance..

Objective To establish a risk warning model for surgical site infection(SSI), provide support for screening high risk population and finding suspected cases.Methods Clinical data of 5 067 patients who underwent abdominal surgery in 6 domestic hospitals from January 2013 to December 2015 were collected retrospectively, all cases were randomly divided into modeling group and validation group according to a 6:4 ratio, warning model was established by employing logistic regression, the area under the receiver operating characteristic curve (AUC) was used to evaluate discriminant ability of evaluation model, the maximum Youden index was as the optimum cut-off point.Results For the warning model of high-risk patients, AUC was 0.823, sensitivity and specificity were 78.81% and 74.33% respectively, positive predictive value and negative predictive value were 19.67% and 97.78% respectively.For the discriminant model of suspected infection cases, AUC was 0.978, sensitivity and specificity were 93.38% and 95.62% respectively, positive predictive value and negative predictive value were 62.95% and 99.45% respectively.Conclusion The early-warning model established in this study has better discrimination ability, which can provide a reference for the development of early warning and discrimination of healthcare-associated infection information system.

Objective To understand the current situation and existing problems in the training of healthcare-asso-ciated infection(HAI)management,and provide scientific basis for strengthening the management of HAI preven-tion and control system.Methods A questionnaire survey was adopted to investigate situation of training on HAI in 15 provincial-level HAI training agencies in China during the past 30 years,and basic condition of training on HAI management in recent 5 years.Results Among 15 provincial-level training agencies,66.67%(n=10)were respon-sible by HAI management quality control centers,80.00% have already conducted training in each city,53.33%carried out training for 10 to 20 times,33.34% performed training for ≤2 times per year.Of 33 728 trainees in 2011-2015,41.30% were 41-50 years old,61.82% were nursing staff,50.56% had bachelor degree,43.96%were with the intermediate professional title.Most trainers were HAI prevention and control experts in their respec-tive province,accounting for 68.07%,the curriculums were mainly designed on professional course,and only 26.78% were involved in management.Conclusion Professional structure of HAI management personnel is not reasonable,faculty is imbalance,knowledge update is lacking,and HAI training and education system need to be improved further.

BACKGROUND: Sarcopenia is an age-related progressive skeletal muscle disorder involving the loss of muscle mass or strength and physiological function. Efficient and precise AI algorithms may play a significant role in the diagnosis of sarcopenia. In this study, we aimed to develop a machine learning model for sarcopenia diagnosis using clinical characteristics and laboratory indicators of aging cohorts. METHODS: We developed models of sarcopenia using the baseline data from the West China Health and Aging Trend (WCHAT) study. For external validation, we used the Xiamen Aging Trend (XMAT) cohort. We compared the support vector machine (SVM), random forest (RF), eXtreme Gradient Boosting (XGB), and Wide and Deep (W&D) models. The area under the receiver operating curve (AUC) and accuracy (ACC) were used to evaluate the diagnostic efficiency of the models. RESULTS: The WCHAT cohort, which included a total of 4057 participants for the training and testing datasets, and the XMAT cohort, which consisted of 553 participants for the external validation dataset, were enrolled in this study. Among the four models, W&D had the best performance (AUC = 0.916 ± 0.006, ACC = 0.882 ± 0.006), followed by SVM (AUC =0.907 ± 0.004, ACC = 0.877 ± 0.006), XGB (AUC = 0.877 ± 0.005, ACC = 0.868 ± 0.005), and RF (AUC = 0.843 ± 0.031, ACC = 0.836 ± 0.024) in the training dataset. Meanwhile, in the testing dataset, the diagnostic efficiency of the models from large to small was W&D (AUC = 0.881, ACC = 0.862), XGB (AUC = 0.858, ACC = 0.861), RF (AUC = 0.843, ACC = 0.836), and SVM (AUC = 0.829, ACC = 0.857). In the external validation dataset, the performance of W&D (AUC = 0.970, ACC = 0.911) was the best among the four models, followed by RF (AUC = 0.830, ACC = 0.769), SVM (AUC = 0.766, ACC = 0.738), and XGB (AUC = 0.722, ACC = 0.749). CONCLUSIONS: The W&D model not only had excellent diagnostic performance for sarcopenia but also showed good economic efficiency and timeliness. It could be widely used in primary health care institutions or developing areas with an aging population. TRIAL REGISTRATION Chictr.org, ChiCTR 1800018895.
Humans ; Aged ; Sarcopenia/diagnosis* ; Deep Learning ; Aging ; Algorithms ; Biomarkers