This article presents a case study of a patient who visited the Geriatric Department of Peking Union Medical College Hospital due to "palpitations, shortness of breath for more than 2 years, limb weakness for 6 months, edema, and nocturnal dyspnea for 2 months". The patient exhibited decreased muscle strength in the limbs and involvement of swallowing and respiratory muscles, alongside complications of heart failure and various arrhythmias which were predominantly atrial. Laboratory tests revealed the presence of multiple autoantibodies and notably anti-mitochondrial antibodies. Following a comprehensive multidisciplinary evaluation, the patient was diagnosed with anti-mitochondrial antibody-associated inflammatory myopathy. Treatment involved a combination of glucocorticoids and immunosuppressants, along with resistance exercises for muscle strength and rehabilitation training for lung function, resulting in significant improvement of clinical symptoms. The case underscores the importance of collaborative multidisciplinary approaches in diagnosing and treating rare diseases in elderly patients, where careful consideration of clinical manifestations and subtle abnormal clinical data can lead to effective interventions.

The pathogenesis of osteoarthritis (OA) is related to a variety of factors such as mechanical overload, metabolic dysfunction, aging, etc., and is a group of total joint diseases characterized by intra-articular chondrocyte apoptosis, cartilage fibrillations, synovial inflammation, and osteophyte formation. At present, the treatment methods for osteoarthritis include glucosamine, non-steroidal anti-inflammatory drugs, intra-articular injection of sodium hyaluronate, etc., which are difficult to take effect in a short period of time and require long-term treatment, so the patients struggle to adhere to doctor’s advice. Some methods can only provide temporary relief without chondrocyte protection, and some even increase the risk of cardiovascular disease and gastrointestinal disease. In the advanced stages of OA, patients often have to undergo joint replacement surgery due to pain and joint dysfunction. Mitochondrial dysfunction plays an important role in the development of OA. It is possible to improve mitochondrial biogenesis, quality control, autophagy balance, and oxidative stress levels, thereby exerting a protective effect on chondrocytes in OA. Therefore, compared to traditional treatments, improving mitochondrial function may be a potential treatment for OA. Here, we collected relevant literature on mitochondrial research in OA in recent years, summarized the potential pathogenic factors that affect the development of OA through mitochondrial pathways, and elaborated on relevant treatment methods, in order to provide new diagnostic and therapeutic ideas for the research field of osteoarthritis.

Objective:To investigate the trend of radiological diagnostic examination frequency and the related influencing factors in a general hospital in recent four years.Methods:The hospital information system and the radiology information system were used to collect the information on the numbers of the outpatients, the emergency patients, and the inpatients and the radiology examination information from 2019 to 2022. The examination frequency and proportion of various imaging equipment were counted by using the perspective table of data, and the examination items and the proportion of the radiological diagnostic examinations were calculated. The positive rates of the radiological examinations were measured from 2019 to 2022. The gender and age distribution of the patients were analyzed. Spearman correlation analysis was used to analyze the relationships between the numbers of the patients undergoing radiological examinations and the numbers of the outpatients, emergency patients and the inpatients.Results:The annual frequency of radiological diagnostic examinations from 2019 to 2022 were 307 306, 245 418, 317 250 and 325 625, respectively, with a total of 1 195 599. Among them, the proportions of CT, X-rays, bedside X-rays, bone density, gastrointestinal imaging and mammography were 59.74%, 38.04%, 1.39%, 0.42%, 0.21% and 0.19%, respectively. In each year, the proportion of CT in all radiological diagnostic examinations was 49.58%, 63.40%, 60.40% and 65.20%, respectively. The frequency of emergency CT and emergency chest CT was correlated with the number of emergency patients( r =0.63, 0.61, P<0.05), and the frequency of non-emergency CT was correlated with the number of outpatients and inpatients ( r =0.61, 0.66, P<0.05). The positive rates of the CT examinations were higher than 80% except the lowest of 79.95% in 2021. Conclusions:Radiological examinations especially CT examinations have increased significantly, and played an important role in the diagnosis of diseases. However, attention should be paid to the Justification of the CT examinations. Timely statistical analysis of radiological examination information can provide data supports and references for scientific management of radiological examinations.

Objective:To examine the impact of intrinsic capacity(IC), comorbidity, and their interaction on the occurrence of adverse outcomes in community-dwelling older adults.Methods:This 2-year observational cohort study included 230 residents aged 75 and above who lived in the Beijing Taikang Yanyaun community active area from June to August 2018.The study evaluated the IC scale, Charlson comorbidity index(CCI), and activity of daily living(ADL).In September 2020, adverse outcomes such as functional decline(defined as a decline of at least one point on the ADL scores at 2-year follow-up compared with baseline)and falls were assessed.The structure equation model(SEM)path analysis was employed to examine the direct and indirect effects of IC and CCI on adverse outcomes.Results:Among the 212 older adults who completed a 2-year follow-up, aged 75-93(mean age 83.8±4.4)years, 59.4%(126 cases)were female.Out of these participants, 51.4%(109 cases)experienced functional decline and 33.5%(71 cases)had falls.Path analysis revealed that the direct effects of IC on functional decline and falls were significantly positive, with standardized coefficients of 0.430 and 0.369, respectively.However, the effect of CCI was not found to be significant.The multi-variable Logistic regression model showed that the total effect of IC on functional decline and falls remained significantly positive, with values of 1.184 and 0.915, respectively.CCI acted as a mediating factor, with indirect effects on functional decline and falls accounting for 5.4% and 0.8%, respectively.In terms of the relationship between age and adverse outcomes, the indirect effect of IC was significantly higher than that of CCI(functional decline: 0.192 vs.0.037; falls: 0.158 vs.0.017). Conclusions:The maintenance of IC in the health management of community-dwelling older adults should be given more attention as it can significantly affect the incidence of functional decline and falls.Comorbidity, on the other hand, has a weaker influence.

Objective:To explore the distribution characteristics and antibiotic resistance of pathogen in children with hematological disorders and cancers complicated with sepsis in pediatric intensive care unit (PICU).Methods:The clinical data of children with hematological disorders and cancers complicated with sepsis hospitalized at Shenzhen Children′s Hospital affiliated to China Medical University from January 2016 to August 2023 were retrospectively analyzed. Patients were divided into survival group and death group based on the outcome of sepsis on 28 days after diagnosis.Results:A total of 202 sepsis episodes occurred in 176 children were enrolled in this study. Among all, 144 (71.3%) cases of bloodstream infection, 59 (29.2%) cases of pulmonary infection, 21 (10.4%) cases of abdominal infection, 9 (4.5%) cases of soft tissue infection, 9 (4.5%) cases of nervous system infection, and 3 (1.5%) cases of urinary tract infection. A total of 244 pathogenic strains were identified, in which 74 (30.3%) cases were gram-positive bacteria. The top 3 pathogens isolated were Coagulase negative Staphylococcus (21 strains), Staphylococcus aureus (19 strains) and Streptococcus pneumoniae (13 strains). Gram-negative bacteria accounted for 122 (50.0%) strains, in which top 3 were Klebsiella pneumonia (33 strains), Escherichia coli (25 strains), and Pseudomonas aeruginosa (23 strains). Fungi comprised 48 (19.7%) strains:the top 3 were Candida tropicalis (14 strains), Candida albicans (10 strains), Aspergillus and Pneumocystis jirovecii (7 strains each). The incidence of Acinetobacter baumannii, Stenotrophomonas maltophilia, and Pseudomonas aeruginosa were significantly higher in death group compared to survival group[9.0%（6/67）vs. 2.3%（4/177）, χ2＝3.971 ，P＝0.046; 9.0%（6/67）vs. 1.1%（2/177）, χ2＝7.080 ，P＝0.008;16.4%（11/67）vs. 6.8%（12/177）, χ2＝5.288 ，P＝0.021]. The samples of 57 cases were simultaneously detected by both culture and metagenomic next-generation sequencing (mNGS). Pathogens were detected in 25 cases by both culture and mNGS. In 30 cases, pathogen detection were mNGS positive but culture negative. Two cases showed positive results only with culture. A total of 79 (46.8%) strains were multi-drug resistant bacteria, including 27 (34.2%) strains of gram-positive bacteria and 52 (65.8%) strains of gram-negative bacteria. A total of 174 (86.1%) children with sepsis received empirical anti-infective drugs within 24 hours of fever onset. A total of 124 (61.4%) cases were appropriately covered by the initial empirical antibiotics, while 40 (19.8%) cases were not adequately covered and 10 (5.0%) cases had incomplete coverage. Despite the inclusion of pathogenic in the coverage, resistance to initial antibiotics was observed in 22 (10.9%) cases. Fifty-one patients died. Conclusion:The predominant pathogens responsible for sepsis in PICU with hematological disorders and cancers is gram-negative bacteria, followed by gram-positive bacteria and fungi. In comparison to healthy children with sepsis, there is a higher incidence of fungal infections among hematological disorders and cancers. The proportion of multi-drug resistant bacteria infection is high. Early identification and combination of local etiological distribution and drug resistance, along with the empirical selection of appropriate anti-infection treatment strategies, can greatly enhance survival rate.

ObjectiveBased on the quality evaluation experience of "it is better to have a fragrant and strong aroma" summarized by materia medica of past dynasties， the chemical components of Sojae Semen Nigrum（SSN） and Sojae Semen Praeparatum（SSP） were systematically compared and analyzed， and the main fermentation products in different fermentation time were quantitatively analyzed， so as to clarify the transformation law of internal components in the processing process and provide scientific basis for the modern quality control of SSP. MethodUltra performance liquid chromatography-quadrupole tandem time-of-flight mass spectrometry（UPLC-Q-TOF-MS） was used for the structural identification of the chemical constituents of SSN and SSP， and with the aid of Progenesis QI v2.3 software， the negative ion mode was employed for principal component analysis（PCA） pattern recognition， and the data were analyzed with the aid of orthogonal partial least squares-discriminant analysis（OPLS-DA） for two-dimensional data to obtain S-plot， and components with |P|>0.1 were selected as the differential constituents. The contents of isoflavonoids in SSP during fermentation was determined by UPLC， and the samples were taken every 8 h in the pre-fermentation period and every 2 d in the post-fermentation period， and the dynamic changes of isoflavonoid contents in different fermentation stages were analyzed. The contents of amino acids and nucleosides in SSP and SSN from different fermentation stages were quantitatively analyzed by phenyl isothiocyanate（PITC） pre-column derivatization and high performance liquid chromatography（HPLC） gradient elution， and the contribution of flavor substances to the "delicious" taste of SSP was discussed by taste intensity value（TAV）. ResultA total of 19 kinds of differential components were screened out， mainly soybean saponins and isoflavones， and their contents decreased significantly or even disappeared after fermentation. In the pre-fermentation process of SSP， glycoside bond hydrolysis mainly occurred， and isoflavone glycosides in SSN were degraded and converted into the corresponding aglycones， the content of flavor substances such as amino acids increased gradually. In the post-fermentation process， protein degradation mainly occurred， after 8 d of post-fermentation， the content of isoflavones was basically stable， while the total content of amino acids increased by 8-40 times on average. Different amino acids form the special flavor of SSP， such as the TAV of glutamate is always ahead of other flavor substances， and sweet substances such as alanine and valine have made relatively great contributions to SSP. ConclusionBased on the law of constituent transformation， combined with the traditional evaluation index of "fragrant and strong"， it is difficult to control the fermentation degree of SSP by the existing standards in the 2020 edition of Chinese Pharmacopoeia. It is suggested that description of the characteristics of SSP be refined and changed to "fragrant， delicious and slightly sweet"， and at the same time， the post-fermentation index compounds such as glutamic acid， alanine and valine should be added as the quality control indicators of SSP， so as to standardize the production process and improve the quality of SSP.

Objective To explore the prognostic impact and clinical application value of therapeutic plasma exchange(TPE)intervention timing and liver injury periodization in patients with exertional heat stroke(EHS).Methods Data of 127 EHS patients from the First Medical Center of the General Hospital of the People′s Liberation Army from January 2011 to December 2023 were collected,then divided into the death group and the survival group based on therapeutic outcomes and into 5 stages according to the dynamic changes of ALT,AST,TBIL and DBIL.According to propensity score matching analysis,11 patients in the survival group and 12 patients in the death group were included in the statistical analysis,and 20 of them were treated with TPE.The changes in indicators and clinical outcomes before and after TPE were observed,in order to evaluate the impact of intervention timing on prognosis.Results Among the 23 patients,14 had no liver injury or could progress to the repair phase,resulting in 3 deaths(with the mortality rate of 21.43%),while 9 patients failed to pro-gress to the repair phase,resulting in 9 deaths(with the mortality rate of 100%),with significant differences(P＜0.05).The mortality rate of the first TPE intervention before the third stage of liver injury was 23.08%(3/13),while that of interven-tion after reaching or exceeding the third stage was 85.71%(6/7),and the difference was statistically significant(P＜0.05).Conclusion TPE should be executed actively in EHS patients combined with liver injury before the third phase to lock its pathological and physiological processes,thereby improving prognosis and reducing mortality.

Objective To explore the potential mechanism of action of paeoniflorin in diabetes mellitus,the related targets and pathways were preliminarily discussed,based on the network pharmacology and molecular docking technology.Methods Analyze the potential targets of paeoniflorin using the Swiss Target Prediction database.Genecards and OMIM databases yielded the genes of diabetes-related illnesses.After taking the intersection of the two,protein-protein interaction network(PPI)was established using STRING and Cytoscape programs to search for key genes with strong correlation and complete gene ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis.Use AutoDockTools and Pymol programs to complete protein molecule docking validation.Results The pharmacologically-related study revealed 63 targets associated with paeoniflorin,4 758 genes related to diabetes,and 50 intersection targets.15 key genes including vascular endothelial growth factor A(VEGFA),epidermal growth factor receptor(EGFR),V-Ha-ras harvey(HRAS),V-src sarcoma(SRC)and heat shock protein hs 90-alpha(HSP90AA1)were screened.RAs-associated protein 1,Ras,calcium and other signaling pathways were obtained by KEGG pathway analysis.Molecular docking results showed that paeoniflorin had good binding ability with key genes.Conclusion Paeoniflorin can treat diabetes through multiple targets and pathways,and this mechanism can provide a basis for the application of paeoniflorin in anti diabetes and drug research and development.

Objective:To investigate the incidence of postoperative complications in Chinese patients with gastric or colorectal cancer, and to evaluate the risk factors for postoperative complications.Methods:This was a national, multicenter, prospective, registry-based, cohort study of data obtained from the database of the Prevalence of Abdominal Complications After Gastro- enterological Surgery (PACAGE) study sponsored by the China Gastrointestinal Cancer Surgical Union. The PACAGE database prospectively collected general demographic characteristics, protocols for perioperative treatment, and variables associated with postoperative complications in patients treated for gastric or colorectal cancer in 20 medical centers from December 2018 to December 2020. The patients were grouped according to the presence or absence of postoperative complications. Postoperative complications were categorized and graded in accordance with the expert consensus on postoperative complications in gastrointestinal oncology surgery and Clavien-Dindo grading criteria. The incidence of postoperative complications of different grades are presented as bar charts. Independent risk factors for occurrence of postoperative complications were identified by multifactorial unconditional logistic regression.Results:The study cohort comprised 3926 patients with gastric or colorectal cancer, 657 (16.7%) of whom had a total of 876 postoperative complications. Serious complications (Grade III and above) occurred in 4.0% of patients (156/3926). The rate of Grade V complications was 0.2% (7/3926). The cohort included 2271 patients with gastric cancer with a postoperative complication rate of 18.1% (412/2271) and serious complication rate of 4.7% (106/2271); and 1655 with colorectal cancer, with a postoperative complication rate of 14.8% (245/1655) and serious complication rate of 3.0% (50/1655). The incidences of anastomotic leakage in patients with gastric and colorectal cancer were 3.3% (74/2271) and 3.4% (56/1655), respectively. Abdominal infection was the most frequently occurring complication, accounting for 28.7% (164/572) and 39.5% (120/304) of postoperative complications in patients with gastric and colorectal cancer, respectively. The most frequently occurring grade of postoperative complication was Grade II, accounting for 65.4% (374/572) and 56.6% (172/304) of complications in patients with gastric and colorectal cancers, respectively. Multifactorial analysis identified (1) the following independent risk factors for postoperative complications in patients in the gastric cancer group: preoperative comorbidities (OR=2.54, 95%CI: 1.51-4.28, P<0.001), neoadjuvant therapy (OR=1.42, 95%CI:1.06-1.89, P=0.020), high American Society of Anesthesiologists (ASA) scores (ASA score 2 points:OR=1.60, 95% CI: 1.23-2.07, P<0.001, ASA score ≥3 points:OR=0.43, 95% CI: 0.25-0.73, P=0.002), operative time >180 minutes (OR=1.81, 95% CI: 1.42-2.31, P<0.001), intraoperative bleeding >50 mL (OR=1.29,95%CI: 1.01-1.63, P=0.038), and distal gastrectomy compared with total gastrectomy (OR=0.65,95%CI: 0.51-0.83, P<0.001); and (2) the following independent risk factors for postoperative complications in patients in the colorectal cancer group: female (OR=0.60, 95%CI: 0.44-0.80, P<0.001), preoperative comorbidities (OR=2.73, 95%CI: 1.25-5.99, P=0.030), neoadjuvant therapy (OR=1.83, 95%CI:1.23-2.72, P=0.008), laparoscopic surgery (OR=0.47, 95%CI: 0.30-0.72, P=0.022), and abdominoperineal resection compared with low anterior resection (OR=2.74, 95%CI: 1.71-4.41, P<0.001). Conclusion:Postoperative complications associated with various types of infection were the most frequent complications in patients with gastric or colorectal cancer. Although the risk factors for postoperative complications differed between patients with gastric cancer and those with colorectal cancer, the presence of preoperative comorbidities, administration of neoadjuvant therapy, and extent of surgical resection, were the commonest factors associated with postoperative complications in patients of both categories.

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.