Objective:To explore the mechanism of zoledronic acid (ZOL) affects osteogenic differentiation and bone formation through the regulation of sirtuin 3 (SIRT3) / P53 expression.Methods:Bone marrow mesenchymal stem cells (BMSCs) were induced to differentiate into osteogenic cells, the expression of SIRT3 in the cells was detected, and the targeting regulation relationship between SIRT3 and P53 was analyzed. The intracellular expressions of SIRT3 and P53 were intervened and ZOL was used to treat the cells. MTT method, Western blot method and kit were used to detect cell viability, osteogenesis-related genes Osteoprotegerin (OPG), runt-related transcription factor 2 (Runx2) expression, alkaline phosphatase (ALP) activity and alizarin red S (ARS) staining, respectively. Ovariectomy (OVX) was used to construct a rat model and explore the effect of ZOL on the progression of osteoporosis (OP) in vivo.Results:ZOL promoted osteogenic differentiation of BMSCs. The expression of SIRT3 was down-regulated in the serum of OP patients (0.78±0.23) compared with that of healthy subjects (1.00±0.26 vs. 0.78±0.23. t=3.85, P<0.001). During the osteogenic differentiation of BMSCs, the expression level of SIRT3 gradually increased with the prolonged induction of osteogenesis. Compared with the p53 protein expression and BMSCs activity in the control group, SIRT3 knockout could increase the expression level of p53 protein (0.59±0.05 vs. 1.01±0.11. t=6.02, P=0.004) but inhibited the activity of BMSCs (100.00±8.41 vs. 51.26±5.59. t=8.36, P=0.001). After ZOL treatment, the inhibitory effect of SIRT3 on cell viability (49.61±5.11 vs. 87.61±7.31. t=7.38, P=0.002) and osteogenesis was relieved, and the level of P53 was inhibited (1.10±0.10 vs. 0.69±0.04. t=6.59, P=0.003). P53 overexpression partially offseted the effects of ZOL on cell viability (84.61±6.52 vs. 66.54±5.47. t=3.68, P=0.021) and osteogenesis. Compared with the sham surgery group, the OVX group showed inhibition of osteogenesis in rats, and ZOL treatment significantly improved osteogenic inhibition. ZOL treatment increased the expression level of SIRT3 protein in bone tissue of OVX rats, but inhibited the expression level of P53. Conclusion:ZOL promoted osteogenic differentiation and bone formation of BMSCs by promoting the ubiquitination and degradation of P53 by SIRT3.

Objective To investigate the influencing factors of falls and serious falls among individuals aged 45 years and above in China,as well as explore the association between falls and multimorbidity,thereby pro-viding empirical evidence for the formulation of effective strategies to prevent falls.Methods The study utilized data from the CHARLS 2020 dataset and employed various statistical methods,including descriptive statistics,χ2 test,quadratic regression,and logistic regression.Additionally,subgroup analyses were conducted on key vari-ables.Results The prevalence of falls and serious falls among individuals aged 45 and above in China was found to be 17.42%and 6.86%,respectively.Multimorbidity emerged as a significant determinant influencing both falls and serious falls,with a higher number of diseases being associated with an increased prevalence of these events.Conclusion In order to effectively address the issue of falls in middle-aged and elderly individuals,particularly those with multimorbidity,it is imperative to integrate multimorbidity considerations into the comprehensive fall intervention process.

Objective To establish a dynamic prediction model of fatal massive hemorrhage in trauma based on the vital signs time series data and machine learning algorithms.Methods Retrospectively analyze the vital signs time series data of 7522 patients with trauma in the Medical Information Mart for Intensive Care-Ⅳ(MIMIC-Ⅳ)database from 2008 to 2019.According to the occurrence of posttraumatic fatal massive hemorrhage,the patients were divided into two groups:fatal massive hemorrhage group(n=283)and non-fatal massive hemorrhage group(n=7239).Six machine learning algorithms,including logistic regression(LR),support vector machine(SVM),random forests(RF),adaptive boosting(AdaBoost),gated recurrent unit(GRU),and GRU-D were used to develop a dynamic prediction models of fatal massive hemorrhage in trauma.The probability of fatal massive hemorrhage in the following 1,2,and 3 h was dynamically predicted.The performance of the models was evaluated by accuracy,sensitivity,specificity,positive predictive value,negative predictive value,Youden index,and area under receiver operating characteristic curve(AUC).The models were externally validated based on the trauma database of the Chinese PLA General Hospital.Results In the MIMIC-Ⅳ database,the set of dynamic prediction models based on the GRU-D algorithm was the best.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.946±0.029,0.940±0.032,and 0.943±0.034,respectively,and there was no significant difference(P=0.905).In the trauma dataset,GRU-D model achieved the best external validation effect.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.779±0.013,0.780±0.008,and 0.778±0.009,respectively,and there was no significant difference(P=0.181).This set of models was deployed in a public web calculator and hospital emergency department information system,which is convenient for the public and medical staff to use and validate the model.Conclusion A set of dynamic prediction models has been successfully developed and validated,which is greatly significant for the early diagnosis and dynamic prediction of fatal massive hemorrhage in trauma.

Objective: To explore the feasibility of remotely obtaining complex information on traditional Chinese medicine (TCM) pulse conditions through voice signals. Methods: We used multi-label pulse conditions as the entry point and modeled and analyzed TCM pulse diagnosis by combining voice analysis and machine learning. Audio features were extracted from voice recordings in the TCM pulse condition dataset. The obtained features were combined with information from tongue and facial diagnoses. A multi-label pulse condition voice classification DNN model was built using 10-fold cross-validation, and the modeling methods were validated using publicly available datasets. Results: The analysis showed that the proposed method achieved an accuracy of 92.59% on the public dataset. The accuracies of the three single-label pulse manifestation models in the test set were 94.27%, 96.35%, and 95.39%. The absolute accuracy of the multi-label model was 92.74%. Conclusion Voice data analysis may serve as a remote adjunct to the TCM diagnostic method for pulse condition assessment.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

To summarize the nursing care experience of a case of idiopathic multicentric Castleman's disease TAFRO syndrome complicated with diffuse alveolar hemorrhage.Key points of nursing:prone position ventilation with high blood risk nursing observation and bleeding prevention;early rehabilitation exercise and the reduction of the lymphedema;the optimization of transitional care to avoid unplanned returns to the ICU.The patient was transferred to the respiratory ward for further treatment after 19 days,and 33 days later,she recovered and was discharged.At 1 month of follow-up after discharge,the patient recovered well.

Objective:To investigate the changes of exam scores of retrained peritoneal dialysis (PD) operators (patients, family members, or nannies) with an internal of one year during COVID-19 epidemic and provide basis for targeted training.Methods:It was a cross-sectional survey study. The maintenance PD patients who participated in two trainings with an interval of one year during COVID-19 epidemic from November 1, 2019 to February 28, 2021 in Department of Nephrology in Peking University People's Hospital were enrolled. During COVID-19 epidemic, retraining was extended from once every six months to once a year. The clinical data were collected, the self-designed training exam score table including theoretical knowledge and operational skills assessment was used to investigate the exam scores of two trainings, and the total exam scores and sub-item scores of PD operators before and after one year were compared. Logistic regression analysis was used to analyze the associated factors of the reduction of exam scores.Results:A total of 59 patients were enrolled, with 35 males (59.32%), age of (58.41±14.52) years, and dialysis duration of 42 (12, 84) months. There were 54 patients (91.53%) operating by themselves, 22 operators (37.29%) having college degree or above, and 35 operators (59.32%) having decreased exam scores. The total exam scores were 83.17±7.90 and 80.61±8.20 before and after one year, respectively ( t=2.732, P=0.008). In the six contents of itemized scoring, compared with one year ago, the exam scores of complication treatment ( t=4.928, P<0.001) and self-monitoring ( t=3.222, P=0.002) were significantly decreased. There was no statistically significant difference in the exam scores of environment and hygiene, dialysate replacement operation, exit nursing and diet before and after one year (all P>0.05). The total exam scores in patients with dialysis duration <12 months and 36-60 months after one year were significantly lower than before one year ( t=2.309, P=0.041; t=3.086, P=0.009). There was no statistically significant difference in the exam scores of PD operators with dialysis duration of 12-<36 months and >60 months before and after one year (both P>0.05). Logistic regression analysis showed that dialysis duration was an independent associated factor of exam scores reduction (dialysis duration 36-60 months/>60 months, OR=6.233, 95% CI 1.035-37.529, P=0.046). Conclusions:During COVID-19 epidemic, the reduced frequency of retraining reduces the training exam scores of PD operators, especially in patients with dialysis duration of 36-60 months. The weak points are focused on complication management and self-monitoring. Training should be strengthened for key patients and key contents if regular retraining is not possible due to special circumstances.

OBJECTIVE To quantitatively and qualitatively analyze the progress of potentially inappropriate medication （PIM） research by means of bibliometrics， and to predict the hotspots and trends of PIM， so as to provide reference for PIM research in China. METHODS The research literature related to PIM were searched from Web of Science core database， and the publication trend of the literature was analyzed on the bibliometric online analysis platform and CiteSpace 5.8.R3 software. The research results were visualized and analyzed， and the research hotspots of PIM were summarized through gCLUTO. RESULTS About PIM research， the annual number of the literature issued from 2012 to 2021 showed a continuous growth trend totally； the United States had the largest number of literature （241 pieces）； the University of Sydney in Australia was the research institution with the largest number of literature （59 pieces）； O’Mahony D from University College Cork， Ireland， published the most literature （23 pieces）； the research of PIM involved 57 disciplines， among which there was the largest number of literature about gerontology （384 pieces）； International Journal of Clinical Pharmacy was the journal with the largest number of literature （61 pieces）； Journal of the American Geriatrics Society was cited most frequently （1 197 times）. The hotspots of PIM research mainly focused on seven aspects： the standard of PIM， the safety and economy research of PIM， the risk factors research of PIM， the PIM research of chronic patients， the PIM research of antipsychotics， the research of pharmacists’ participation in PIM management， and the PIM research about palliative care of tumor patients. CONCLUSIONS The heat of research on PIM has been on the rise， and there is little cooperation between countries and institutions， and more cooperation is needed. In the future， the focus of Chinese pharmacists’ research on PIM may be on the deep localization of PIM standards， PIM intervention and precise medication guidance， and PIM management of specific diseases and drugs.

To efficiently remove all recurrent lymph nodes (rLNs) and minimize complications, we developed a combination approach that consisted of ⁶⁸Gallium prostate-specific membrane antigen (PSMA) ligand positron emission tomography (PET)/computed tomography (CT) and integrated indocyanine green (ICG)-guided salvage lymph node dissection (sLND) for rLNs after radical prostatectomy (RP). Nineteen patients were enrolled to receive such treatment. ⁶⁸Ga-PSMA ligand PET/CT was used to identify rLNs, and 5 mg of ICG was injected into the space between the rectum and bladder before surgery. Fluorescent laparoscopy was used to perform sLND. While extensive LN dissection was performed at level I, another 5 mg of ICG was injected via the intravenous route to intensify the fluorescent signal, and laparoscopy was introduced to intensively target stained LNs along levels I and II, specifically around suspicious LNs, with ⁶⁸Ga-PSMA ligand PET/CT. Next, both lateral peritonea were exposed longitudinally to facilitate the removal of fluorescently stained LNs at levels III and IV. In total, pathological analysis confirmed that 42 nodes were rLNs. Among 145 positive LNs stained with ICG, 24 suspicious LNs identified with ⁶⁸Ga-PSMA ligand PET/CT were included. The sensitivity and specificity of ⁶⁸Ga-PSMA ligand PET/CT for detecting rLNs were 42.9% and 96.6%, respectively. For ICG, the sensitivity was 92.8% and the specificity was 39.1%. At a median follow-up of 15 (interquartile range [IQR]: 6-31) months, 15 patients experienced complete biochemical remission (BR, prostate-specific antigen [PSA] <0.2 ng ml^-1), and 4 patients had a decline in the PSA level, but it remained >0.2 ng ml^-1. Therefore, ⁶⁸Ga-PSMA ligand PET/CT integrating ICG-guided sLND provides efficient sLND with few complications for patients with rLNs after RP.
Gallium Isotopes ; Gallium Radioisotopes ; Humans ; Indocyanine Green ; Ligands ; Lymph Node Excision ; Lymphatic Metastasis/diagnostic imaging* ; Male ; Neoplasm Recurrence, Local/surgery* ; Positron Emission Tomography Computed Tomography ; Prostate ; Prostatectomy ; Prostatic Neoplasms/surgery* ; Salvage Therapy

Objective:To investigate the effects of anxiety and depressive symptoms in mediation of pain catastrophizing on disability in patients with low back pain.Methods:A cross-sectional survey was conducted among 97 patients with low back pain in the Changjiang Subdistrict community health center from July to October 2021. Oswestry Disability Index, pain catastrophic subscale in Coping Strategies Questionnaire-24, Generalized Anxiety Disorder Scale-short version, Patient Health Depression Questionnaire-short version were used to evaluate the activity dysfunction, pain catastrophic cognition and anxiety and depression levels of patients,respectively. Path analysis was implemented to test the mediation model, and the indirect effects were assessed using the bootstrap procedure with bias-corrected 95 %CI. Results:Results suggested significant positive correlations among pain catastrophizing, anxiety, depressive symptoms and disability of patients. In addition, both anxiety and depressive symptoms significantly mediated the impact of pain catastrophizing on disability (standardized indirect effects were 0.183 and 0.197, P<0.05). Patients with higher levels of pain catastrophic cognition showed higher levels of anxiety and depressive symptoms (β=0.757, 0.720; P<0.01), and reported more severe motor dysfunction (β=0.241, 0.274; P<0.05). Conclusions:Our findings suggest that anxiety and depression may be the psychological pathways through which pain catastrophizing predicts disability in patients with low back pain. Effective psychological interventions, such as emotion regulation and stress reduction strategies should be considered in treatment and supportive care for patients with low back pain.