BACKGROUND:Stable intertrochanteric fractures can be treated by closed reduction and internal fixation,but there is no absolute advantage for unstable intertrochanteric fractures with osteoporosis. OBJECTIVE:To investigate the efficacy of arthroplasty in the treatment of unstable intertrochanteric fractures in the elderly with osteoporosis by comparing the indexes related to closed reduction internal fixation and arthroplasty. METHODS:Clinical data of 102 elderly patients with unstable intertrochanteric fractures of the femur treated in Affiliated Hospital of Qingdao University from January 2017 to January 2020 were retrospectively analyzed.Patients were divided into two groups according to the surgical method.In the Gamma3 group,62 cases received Gamma3 internal fixation system.In the joint replacement group,40 cases received an artificial femoral head replacement or total hip replacement.Surgical information,hospitalization,hip function,and postoperative complications were compared between the two groups. RESULTS AND CONCLUSION:(1)There were statistical differences between the Gamma3 group and the joint replacement group in weight-bearing time(P＜0.001),hospital stay(P＜0.05),intraoperative bleeding(P＜0.001),and length of surgery(P＜0.001).The mean weight-bearing time and hospital stay were shorter in the joint replacement group than in the Gamma3 group.Intraoperative bleeding and duration of surgery were better in the Gamma3 group than in the joint replacement group.(2)There was no significant difference in Harris hip score,subitem centesimal hip score,and postoperative complications 12 months after surgery in both groups(P=0.526,0.788,0.228).(3)It is indicated that arthroplasty has achieved better outcomes in the treatment of elderly unstable intertrochanteric fractures combined with osteoporosis,enabling early weight bearing and functional exercise.Careful selection of the appropriate patient and prosthesis type for arthroplasty will result in greater patient benefit.

Objective:To identify the effect of multidisciplinary intervention based on integrated theory of health behavior change on improving medication adherence in postoperative gastrointestinal stromal tumor patients,thus providing evidence for improving patients′ outcomes and facilitating the comprehensive patient management.Methods:Employing with a semi-experimental research design, 100 participants diagnosed with gastrointestinal stromal tumor were recruited in the Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from January to December 2022 through the convenience sampling method, and were divided into the control group (50 cases) and the intervention group (50 cases) according to the admission time, with the control group adopting the conventional nursing intervention and the intervention group adopting the multidisciplinary intervention based on integrated theory of health behavior change, and the intervention time was 3 months. 8 item Morisky Medication Adherence Scale, Beliefs about Medicines Questionnaire, Perceived Social Support Scale, MD Anderson Symptom Inventory and medication adherence rate were used to evaluate the intervention effect.Results:A total of 100 patients were recruited, including 30 males and 20 females with the age of (55.78 ± 11.96) years old in the intervention group, and 28 males and 22 females with the age of (57.06 ± 12.16) years old in the control group. The medication adherence rates after the intervention of the intervention group and the control group were 94.0% (47/50) and 76.0% (38/50), respectively, with a statistically significant difference ( χ2=6.35, P<0.05). There were no significant differences in the baseline survey including the medication adherence, belief about medication, perceived social support, somatic symptom experience and distress score between the two groups ( P>0.05). The score of medication adherence, belief about medication, perceived social support, somatic symptom experience and distress at the time of follow-up were (7.17 ± 1.37), (40.14 ± 9.66), (70.58 ± 8.29), (3.24 ± 2.26), (2.98 ± 2.05) points in the intervention group, which were better than those in the control group (6.04 ± 1.35), (33.48 ± 10.34), (65.78 ± 10.78), (4.36 ± 2.72), (4.04 ± 2.42) points, with the statistically significant differences ( t values were -2.37-4.15, all P<0.05). Conclusions:Multidisciplinary intervention based on the integrated theory of health behavior change can help to improve patients′medication adherence, as well as enhance patients′ beliefs about medication and perceived social support levels, and improve patients′ symptom experience and distress levels.

Recent studies have shown that stress can substantially facilitate breast cancer metastasis,which can be reduced by nonselective β1/β2-adrenergic receptor(β1/β2-AR)blocker.However,several side effects were identified.Thus,it is extremely warranted to explore more effective and better-tolerated β2-AR blocker.Currently,we demonstrated that baicalin(BA),a major bioactive component of Scutellaria bai-calensis Georgi,could significantly attenuate stress hormones especially epinephrine(Epi)-induced breast cancer cell migration and invasion in vitro.Mechanistically,we identified that β2-AR was a direct target of BA via the drug affinity responsive target stability(DARTS)combined with mass spectrum assay,and BA photoaffinity probe with pull-down assay,which was further confirmed by a couple of bio-physical and biochemical assays.Furthermore,we demonstrated that BA could directly bind to the Phe-193 and Phe-289 of β2-AR,subsequently inhibit cyclic adenosine monophosphate-protein kinase A-focal adhesion kinase(cAMP-PKA-FAK)pathway,and thus impede epithelial-mesenchymal transition(EMT),thereby hindering the metastatic progression of the chronic stress coupled with syngeneic and xenograft in vivo orthotopic and tail vein mouse model.These findings firstly identify BA as a potential β2-AR inhibitor in the treatment of stress-induced breast cancer metastasis.

Objective To analyze and discuss the medication rule of professor Ruan Yan in the treatment of children with allergic rhinitis by using data mining method,and to provide reference for the clinical research and patented drugs development for the treatment of children with allergic rhinitis.Methods The outpatient medical records of professor Ruan Yan for the treatment of children with allergic rhinitis were collected.Microsoft Excel 2010 software was used for frequency statistics.SPSS Clementine 12.0 software was used for association rule analysis,cluster analysis and factor analysis to obtain the data.The frequency of use of various drugs and the association rules between drugs were obtained.Then the medication rules in professor Ruan Yan's prescription were analyzed.Results A total of 308 Chinese medicine compounds were included,involving 80 kinds of Chinese medicines,among which relieving drugs and qi-invigorating herbs were high-frequently used.The distribution of traditional Chinese medicine syndrome types was mainly characterized by lung-qi deficiency-cold syndrome and lung-spleen qi deficiency syndrome.The medicinal properties were mainly spicy,warm and sweet,and most of them belonged to the lung,spleen and stomach meridians.Five core prescriptions were extracted by factor analysis.Four drug combinations were obtained by systematic cluster analysis.Conclusion Ventilating lung and opening the orifices,expelling wind and removing cold,strengthening the spleen and replenishing qi are basic therapeutic principles for professor Ruan Yan in the treatment of children with allergic rhinitis.The treatment mainly focused on dispelling evil,ventilating lung and opening the orifices,expelling wind and removing cold during the acute stage of allergic rhinitis.In the remission period,according to the principle of"treating disease must be based on its origin",the treatment should enhance children's physical fitness,tonify lung and strengthen spleen,thereby reducing recurrence.

Objective To observe the value of lightweight U-Net(L-U-Net)model for segmentation of breast cancer ultrasound images.Methods A total of 1 009 ultrasound images of 779 female cases with breast cancer were retrospectively analyzed,including 807 images in training set and 202 images in test set.MobileNetV2 and MobileViT modules were embedded into encoding end of U-Net model to construct L-U-Net models,i.e.conventional lightweight L-U-Net(L-U-Net 1)and sub lightweight L-U-Net(L-U-Net 2)models.The segmentation accuracy and lightweight degree of L-U-Net models were evaluated taken manually annotating lesion areas by physicians as the reference standards.Results The pixel accuracy,intersection over union and Dice similarity coefficient of L-U-Net models for segmentation of breast cancer ultrasound images were similar to those of U-Net model,and the number of parameters,floating point operation and memory usage of L-U-Net model were lower but inference time were higher than those of U-Net model.U-Net and L-U-Net models had better segmentation efficacy for ultrasound images of breast cancer with clear boundaries.For images with blurred lesion boundaries but still recognizable,U-Net model was prone to mislabeling non lesion areas,while L-U-Net models could provide more accurate segmentation results.For images with blurred lesion boundaries difficult to identify with naked eyes,all 3 models had incomplete segmentation,among which U-Net and L-U-Net 1 models had larger missing areas but L-U-Net 2 model had smaller missing areas.Conclusion L-U-Net 2 model could be used for segmentation of breast cancer ultrasound images with good lightweight degree and segmentation accuracy.

Objective:Based on Web of Science database, this study aimed to explore the current status, research hotspots and development trends of countries regarding clinical management of osteoporotic fractures using bibliometrics and visualized analysis.Methods:We collected literatures in the field of clinical management of osteoporotic fractures included in Web of Science database, and applied bibliometrics to analyze the publication dates, countries, institutions, journals, authors, highly cited literatures and research hotspots. Visualization was drawn by VOSviewer software.Results:Analysis of the 2 508 articles revealed 3 types of data. (1) The analysis of basic information of the literature showed that: ①The country with the largest number of publications was the United States, which published 672 articles, followed by the United Kingdom and Canada, and China ranked fourth; ②The top three authors in the number of publications were Kanis JA, Cooper C and McCloskey EV respectively; ③The institution with the highest number of publications was the University of Sheffield, UK, followed by the University of Southampton, UK and the University of Toronto, Canada. (2) Network visualization of highly cited literatures showed that 118 highly cited literatures were mainly divided into 5 clusters, which were related to osteoporotic fracture diagnosis, treatment, medication adherence, management consensus and strategies of preventing refracture. (3) Temporal overlay visualization of research hotspots showed that early research mainly focused on traditional therapeutic drugs, and current research hotspots were mainly molecular targeted drugs, trabecular bone score and fracture liaison services.Conclusion:This study shows that the research activity of clinical management of osteoporotic fractures is increasing worldwide, and there is still a huge gap between China and Europe or the United States. Current research hotspots and development trends mainly focus on molecular targeted drugs, osteoporotic fracture treatment concepts, emerging fracture risk assessment tools, and fracture prevention and management models.

Objective:To observe any effect of transcranial direct current stimulation (tDCS) on the cognition of stroke survivors and the integrity of their white matter fibers.Methods:Thirty persons with post-stroke cognitive impairment (PSCI) were randomly divided into an experimental group ( n=15) and a control group ( n=15). In addition to basic drug therapy and routine cognition training, the experimental group received 20 minutes of tDCS daily, 5 days per week for 3 weeks, while the control group received sham tDCS stimulation. Before and after the treatment, both groups′ cognitive functioning was evaluated using the mini-mental state examination (MMSE) and the Montreal cognitive assessment scale (MoCA). Their ability in the activities of daily living (ADL) was quantified using the modified Barthel index (MBI). Diffusion tensor imaging (DTI) was employed to observe any changes in the integrity of their white matter fibers. Results:The average MMSE, MOCA and MBI scores of both groups had improved significantly after the treatment, but the improvement in the experimental group was significantly greater than among the controls. The average fractional anisotroposy value of the affected inferior fronto-occipital fasciculus in both groups was positively correlated with the group′s average MMSE score and MoCA score.Conclusion:tDCS can effectively improve the cognition and functioning in the activities of daily living of stroke survivors. Its mechanism may be related to improving the integrity of the white matter fibers involved.

Objective:To evaluate the safety of mass vaccination of inactivated 2019-nCoV vaccine in population aged ≥3 years in Guizhou Province.Methods:The open-label study was conducted in eligible volunteers in Yanhe County of Guizhou from June 2021 to July in 2022. In the study, two doses of the inactivated 2019-nCoV vaccine were given at (0, 28) days according to the immunization schedule. The information about adverse reaction (AR) within 30 minutes and during 0-28 days after vaccination were collected, and the incidence of AR was analyzed by age, doses, and health status.Results:The overall incidence of AR was 1.51% (294/19 458), all ARs, mainly pain at injection site, occurred within 7 days after the vaccination, the AR grade was 1-2. The incidence of AR was 1.01% in age group 3- years (58/5 721), 2.44% in age group 18- years (220/9 017), and 0.34% in age group ≥60 years (16/4 720). The differences were significant ( P<0.001). The incidence of AR after the first dose vaccination (1.20%, 233/19 458) was significantly higher than that after the second dose (0.37%, 61/16 368), the difference was significant ( P<0.001). In the elderly aged ≥60 years, the incidence of AR was 0.36% (9/2 520) in healthy group and 0.32% (7/2 200) in group with underlying medical conditions, the differences were not significant ( P=0.818). Conclusion:The domestic inactivated 2019-nCoV vaccine showed good safety in mass vaccination in population aged ≥3 years, including the elderly in both healthy group and group with underlying medical conditions.

Objective:To develop a grading prediction model of traumatic hemorrhage volume based on deep learning and assist in predicting traumatic hemorrhage volume.Methods:A retrospective observational study was conducted based on the experimental data of pig gunshot wounds in the time-effect assessment database for experiments on war-traumatized animals constructed by the General Hospital of the Chinese People's Liberation Army. The hemorrhage volume data of the study population were extracted, and the animals were divided into 0-300 mL, 301-600 mL, and > 600 mL groups according to the hemorrhage volume. Using vital signs indexes as the predictive variables and hemorrhage volume grading as the outcome variable, trauma hemorrhage volume grading prediction models were developed based on four traditional machine learning and ten deep learning methods. Using laboratory test indexes as predictive variables and hemorrhage volume grading as outcome variables, trauma hemorrhage volume grading prediction models were developed based on the above fourteen methods. The effect of the two groups of models was evaluated by accuracy and area under the receiver operator characteristic curve (AUC), and the optimal models in the two groups were mixed to obtain hybrid model 1. Feature selection was conducted according to the genetic algorithm, and hybrid model 2 was constructed according to the best feature combination. Finally, hybrid model 2 was deployed in the animal experiment database system.Results:Ninety-six traumatic animals in the database were enrolled, including 27 pigs in the 0-300 mL group, 40 in the 301-600 mL group, and 29 in the > 600 mL group. Among the fourteen models based on vital signs indexes, fully convolutional network (FCN) model was the best [accuracy: 60.0%, AUC and 95% confidence interval (95% CI) was 0.699 (0.671-0.727)]. Among the fourteen models based on laboratory test indexes, recurrent neural network (RNN) model was the best [accuracy: 68.9%, AUC (95% CI) was 0.845 (0.829-0.860)]. After mixing the FCN and RNN models, the hybrid model 1, namely RNN-FCN model was obtained, and the performance of the model was improved [accuracy: 74.2%, AUC (95% CI) was 0.847 (0.833-0.862)]. Feature selection was carried out by genetic algorithm, and the hybrid model 2, namely RNN-FCN* model, was constructed according to the selected feature combination, which further improved the model performance [accuracy: 80.5%, AUC (95% CI) was 0.880 (0.868-0.893)]. The hybrid model 2 contained ten indexes, including mean arterial pressure (MAP), hematocrit (HCT), platelet count (PLT), lactic acid, arterial partial pressure of carbon dioxide (PaCO 2), Total CO 2, blood sodium, anion gap (AG), fibrinogen (FIB), international normalized ratio (INR). Finally, the RNN-FCN* model was deployed in the database system, which realized automatic, continuous, efficient, intelligent, and grading prediction of hemorrhage volume in traumatic animals. Conclusion:Based on deep learning, a grading prediction model of traumatic hemorrhage volume was developed and deployed in the information system to realize the intelligent grading prediction of traumatic animal hemorrhage volume.

Objective:This study aimed to compare the detection efficacy of transrectal ultrasound-guided transrectal cognitive fusion targeted+ systematic prostate biopsy and transperineal cognitive fusion targeted + systematic biopsy in patients with suspected prostate cancer (PCa). In addition, the relative clinical characteristics of PCa were evaluated.Methods:A total of 385 patients with suspected prostate cancer in the affiliated hospital of Qingdao University from May 2019 to November 2019 were retrospectively analyzed. All patients met the prostate biopsy criterion, who underwent transrectal(n=275)and transperineal(n=110)prostate biopsy respectively. There were no significant differences of mean age [(70.7±7.3)years vs.(69.2±8.4) years], PSA [(55.12±116.96)ng/ml vs. (63.41±315.34)ng/ml], prostate volume [(55.96±35.26)ml vs. (64.35±55.99)ml] between two groups. According to preoperative prostate magnetic resonance imaging combined with intraoperative ultrasound, 2-4 needles targeted puncture of suspected lesion were performed, followed by 12 needle systematic prostate biopsy. The detection rate of prostate cancer between two biopsy ways were compared. The related factors of PCa including age, prostate volume and PSA level were collected for univariable and multivariable logistic analysis. The cancer detection rate was compared and logistic regression was used to assess the impact of patient characteristics on PCa detection.Results:For all patients, the detection rate with cancer between transrectal group and transperineal group were 121/275(40.0%) and 67/110(60.9%), respectively. The transperineal group detected a higher rate of PCa ( P=0.003)and more clinically significant prostate cancers (csPCa) (54.6% vs.36.7%, P=0.001) than that of the transrectal group, there were significant differences between two groups ( P<0.05). Univariate and multivariate logistic regression analysis revealed that PSA( OR=1.025, P=0.001) and prostate volume( OR=0.984, P=0.001)were two independent factors for the detection rate of prostate cancer between two biopsy ways( P<0.05). The effect of age on the detection rate of PCa in the transperieal group was significantly lower than that of the transrectal group( OR=0.037, P=0.238 vs. OR=0.053, P=0.002). Conclusion:The transperieal biopsy could find more PCa than the transrectal biopsy. PSA level and prostate volume could affect the detection rate of cancer between two prostate biopsy ways.