Medical equipment, as an important indicator of smart hospital evaluation, plays a vital role in hospital operations. To ensure the safe and efficient operation of medical equipment, a reasonable performance evaluation system is indispensable. This study introduces a platform based on Internet of Things (IoT) technology that connects medical devices and collects data, achieving standardized and structured data processing, and supporting online operational supervision. Through the Delphi method, a performance evaluation system for large medical equipment is constructed, including 4 primary indicators and 22 secondary indicators. DICOM data acquisition devices are used to achieve functions such as efficiency analysis, benefit analysis, usage evaluation, and decision-making support for medical equipment. The study is still in its early stages, and in the future, it is expected to integrate more types of equipment, achieve rational resource allocation, and significantly impact decision-making for the development of public hospitals.
Internet of Things ; Delphi Technique

Astragali Radix (AR), a traditional Chinese medicine (TCM), has demonstrated therapeutic efficacy against various diseases, including cardiovascular conditions, over centuries of use. While doxorubicin serves as an effective chemotherapeutic agent against multiple cancers, its clinical application remains constrained by significant cardiotoxicity. Research has indicated that AR exhibits protective properties against doxorubicin-induced cardiomyopathy (DIC); however, the specific bioactive components and underlying mechanisms responsible for this therapeutic effect remain incompletely understood. This investigation seeks to identify the protective bioactive components in AR against DIC and elucidate their mechanisms of action. Through network medicine analysis, astragaloside IV (AsIV) and formononetin (FMT) were identified as potential cardioprotective agents from 129 AR components. In vitro experiments using H9c2 rat cardiomyocytes revealed that the AsIV-FMT combination (AFC) effectively reduced doxorubicin-induced cell death in a dose-dependent manner, with optimal efficacy at a 1∶2 ratio. In vivo, AFC enhanced survival rates and improved cardiac function in both acute and chronic DIC mouse models. Additionally, AFC demonstrated cardiac protection while maintaining doxorubicin's anti-cancer efficacy in a breast cancer mouse model. Lipidomic and metabolomics analyses revealed that AFC normalized doxorubicin-induced lipid profile alterations, particularly by reducing fatty acid accumulation. Gene knockdown studies and inhibitor experiments in H9c2 cells demonstrated that AsIV and FMT upregulated peroxisome proliferator activated receptor γ coactivator 1α (PGC-1α) and PPARα, respectively, two key proteins involved in fatty acid metabolism. This research establishes AFC as a promising therapeutic approach for DIC, highlighting the significance of multi-target therapies derived from natural herbals in contemporary medicine.
Animals ; Doxorubicin/adverse effects* ; Saponins/administration & dosage* ; Isoflavones/pharmacology* ; Rats ; Cardiomyopathies/prevention & control* ; Mice ; Fatty Acids/metabolism* ; Myocytes, Cardiac/metabolism* ; Triterpenes/administration & dosage* ; Male ; Drugs, Chinese Herbal/administration & dosage* ; Humans ; Cardiotonic Agents/administration & dosage* ; Mice, Inbred C57BL ; Cell Line ; Astragalus Plant/chemistry* ; Astragalus propinquus

Objective To explore the relationship between serum long non-coding RNA X-inactive specific transcript(LncRNA XIST)and microRNA-122-5p(miR-122-5p)expression and the severity of brain injury and prognosis in patients with sepsis-associated encephalopathy(SAE).Methods A total of 108 SAE patients(SAE group)and 52 patients with sepsis only(non-SAE group)admitted to the Ankang Hospital of Tradi-tional Chinese Medicine from January 2019 to December 2023 were selected as the study subjects.According to the degree of brain injury,the SAE patients were categorized into mild brain injury group[Glasgow Coma Scale(GCS)score 13-14,27 cases],moderate brain injury group(GCS score 9-12,36 cases),and severe brain injury group(GCS score 3-8,45 cases).Based on the 28-day prognosis,they were divided into death group(51 cases)and survival group(57 cases).Serum LncRNA XIST and miR-122-5p expression levels were measured using real-time quantitative PCR.The binding site of LncRNA XIST and miR-122-5p was predicted using the StarBase database,and Pearson correlation analysis was performed to evaluate the relationship be-tween serum LncRNA XIST and miR-122-5p expression in SAE patients.Multivariate unconditional Logistic regression was used to determine the association between serum LncRNA XIST,miR-122-5p expression,and prognosis in SAE patients.Receiver operating characteristic curves were used to assess the predictive efficacy of LncRNA XIST and miR-122-5p expression for SAE prognosis.Results Compared with non-SAE group,se-rum LncRNA XIST expression was increased and miR-122-5p expression was decreased in SAE group,with statistical significance(P＜0.05).There were binding sites between LncRNA XIST and miR-122-5p,and the expression of LncRNA XIST in serum of SAE patients was negatively correlated with that of miR-122-5p(P＜0.05).Serum LncRNA XIST expression in mild brain injury group,middle brain injury group and severe brain injury group was increased successively,while miR-122-5p expression was decreased successively,with statistical significance(P＜0.05).The 28-day mortality rate of SAE patients after admission was 47.22％(51/108).Compared with the survival group,the expression of serum LncRNA XIST was higher in the death group,and the expression of miR-122-5p was lower,with statistical significance(P＜0.05).High sequential organ failure assessment(SOFA)score and high expression of LncRNA XIST were independent risk factors for death in SAE patients,while high GCS scores and high miR-122-5p expression of were independent protec-tive factors(P＜0.05).The combined expression of serum LncRNA XIST and miR-122-5p predicted the death of SAE patients with greater area under the curve than that of serum LncRNA XIST and miR-122-5p a-lone(P＜0.05).Conclusion Elevated serum LncRNA XIST and decreased miR-122-5p expression levels are associated with the severity of brain injury and poor prognosis in SAE patients.The combined detection of Ln-cRNA XIST and miR-122-5p has a high predictive value for SAE prognosis.

Objective:To evaluate direct and indirect costs for schizophrenia,major depressive disorder(MDD)and bipolar disorder,and to compare their differences of cost composition,and to explore the drivers of the total costs.Methods:A total of 3 175 inpatients with schizophrenia,MDD,and bipolar disorder were recruited.In-patient's self-report total direct of medical costs outpatient and inpatient,out-of-pocket costs,and direct non-medical costs were regarded as direct costs.Productivity loss and other loss caused by damaging properties were defined as indirect costs.The perspectives of this study included individual and societal levels.Multivariate regression analysis was applied for detecting the factors influencing disease costs.Results:The total cost of schizophrenia was higher than those of MDD and bipolar disorder at individual and societal levels.The indirect costs of three mental disorders were higher than the direct costs,and the indirect cost ratio of bipolar disorder was higher than those of schizophre-nia and MDD.Age,gender,working condition and marital status(P＜0.05)were the important drivers of total costs.Conclusion:The economic burden of the three mental disorders is relatively heavy.Schizophrenia has heaviest disease burden,and the productivity loss due to mental disorders is the driving force of the soaring disease cost

Objective:To describe demographic,clinical and physiological characteristics,treatment between first-episode major depressive disorder(MDD)and relapse MDD,and to explore characteristics of relapse MDD.Methods:Totally 858 patients who met the diagnostic criteria for depression of the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5),were included by using the Mini International Neuropsychiatric Interview(MINI),Clinician-Rated Dimensions of Psychosis Symptom Severity,and Hamilton Depression Scale etc.Among them,529(58.6％)were first-episode depression and 329(36.0％)were relapsed.The differences of demographic characteristics,clinical and physiological characteristics,treatment were compared byx2test and Kruskal-Wallis rank sum test.Multivariate logistic regression was used to explore the characteristics of MDD recur-rence.Results:Compared to first-episode MDD,relapse MDD had more comorbidity(OR=2.11,95％CI:1.00-4.44),more days out of role(OR=1.26,95％CI:1.01-1.56),more history of using psychiatric drug more than one month(OR=1.41,95％CI:1.02-1.97)and electroconvulsive therapy(OR=3.23,95％CI:1.42-7.36),and higher waist-hip ratio(OR=33.88,95％CI:2.88-399.32).Conclusion:Relapse MDD has positive as-sociation with comorbidity of mental disorders,out of role,and higher waist-hip ratio.

Objective To select high-quality and cost-effective dural(spinal)membrane repair materials,in order to reduce the cost of consumables procurement,save medical insurance funds,and optimize hospital operation and management.Methods Taking the BS06B disease group(spinal cord and spinal canal surgery without extremely severe or severe complications and comorbidities,mainly diagnosed as congenital tethered cord syndrome)as an example,a retrospective analysis was conducted on the relevant data of surgical treatment for congenital tethered cord syndrome conducted in our hospital from January 2021 to June 2023.Safety and efficacy indicators in clinical application(incidence of postoperative epidural hemorrhage,incidence of postoperative purulent cerebrospinal meningitis,incidence of cerebrospinal fluid leakage,surgical duration,and postoperative hospital stay)were compared.Results There was no difference in safety and effectiveness between different brands of dura mater repair materials.Conclusion For the repair of small incisions in dura mater surgery,high-quality and cost-effective dura mater repair materials can be selected to reduce hospital costs and control expenses for the disease group.

Objective To construct a MRI-based radiomics nomogram for predicting the Cyelin-Dependent Kinase Inhibitor 2A/B(CDKN 2A/B)homozygous deletion status in patients with isocitrate dehydrogenase(IDH)-mutant astrocytoma.Methods A total of 200 patients with IDH-mutant astrocytoma(103 CDKN 2A/B homozygous deletion and 97 CDKN 2A/B non-homozygous dele-tion)were enrolled in a training cohort(n=140)and a test cohort(n=60).A total of 1 946 features were respectively extracted in tumor edema area and tumor parenchyma area,and 3 892 features were extracted in overall tumor area.All features were extracted from T2 fluid attenuated inversion recovery(T2 FLAIR)and T1 WI contrast enhancement sequences.The t test and the least absolute shrinkage and selection operator(LASSO)model were used to select radiomics features,and a radiomics nomogram was constructed by using age,gen-der and the above radiomics features.Results The t test concluded that the overall tumor radiomics signature had the best perform-ance[area under the curve(AUC):training cohort=0.951,test cohort=0.779]and the radiomics nomogram had a good ability to pre-dict the CDKN 2A/B homozygous deletion in IDH-mutant astrocytoma.The clinical usefulness of the nomogram in predicting the CDKN 2A/B homozygous deletion was further confirmed by decision curve analysis(DCA).Conclusion The nomogram combined with age,gender,and the radiomics features provides a clinically useful approach to predict the CDKN 2A/B homozygous deletion and facilitated MRI-based clinical decision-making in patients with IDH-mutant astrocytoma.

Background::In vitro fertilization (IVF) has emerged as a transformative solution for infertility. However, achieving favorable live-birth outcomes remains challenging. Current clinical IVF practices in IVF involve the collection of heterogeneous embryo data through diverse methods, including static images and temporal videos. However, traditional embryo selection methods, primarily reliant on visual inspection of morphology, exhibit variability and are contingent on the experience of practitioners. Therefore, an automated system that can evaluate heterogeneous embryo data to predict the final outcomes of live births is highly desirable. Methods::We employed artificial intelligence (AI) for embryo morphological grading, blastocyst embryo selection, aneuploidy prediction, and final live-birth outcome prediction. We developed and validated the AI models using multitask learning for embryo morphological assessment, including pronucleus type on day 1 and the number of blastomeres, asymmetry, and fragmentation of blastomeres on day 3, using 19,201 embryo photographs from 8271 patients. A neural network was trained on embryo and clinical metadata to identify good-quality embryos for implantation on day 3 or day 5, and predict live-birth outcomes. Additionally, a 3D convolutional neural network was trained on 418 time-lapse videos of preimplantation genetic testing (PGT)-based ploidy outcomes for the prediction of aneuploidy and consequent live-birth outcomes.Results::These two approaches enabled us to automatically assess the implantation potential. By combining embryo and maternal metrics in an ensemble AI model, we evaluated live-birth outcomes in a prospective cohort that achieved higher accuracy than experienced embryologists (46.1% vs. 30.7% on day 3, 55.0% vs. 40.7% on day 5). Our results demonstrate the potential for AI-based selection of embryos based on characteristics beyond the observational abilities of human clinicians (area under the curve: 0.769, 95% confidence interval: 0.709–0.820). These findings could potentially provide a noninvasive, high-throughput, and low-cost screening tool to facilitate embryo selection and achieve better outcomes. Conclusions::Our study underscores the AI model’s ability to provide interpretable evidence for clinicians in assisted reproduction, highlighting its potential as a noninvasive, efficient, and cost-effective tool for improved embryo selection and enhanced IVF outcomes. The convergence of cutting-edge technology and reproductive medicine has opened new avenues for addressing infertility challenges and optimizing IVF success rates.

BACKGROUND:Nanocomposite hydrogel has great research prospects and application potential in the treatment of osteoarthritis. OBJECTIVE:To review the research progress of nanocomposite hydrogel in osteoarthritis and cartilage repair. METHODS:Databases such as CNKI and PubMed were searched.The English key words were"nanocomposite hydrogel,nanogel,osteoarthritis,cartage,physical encapsulation,electrostatic interaction,covalent crosslinking",and the Chinese key words were"nanocomposite hydrogel,nanogel,osteoarthritis,cartage,physical encapsulation,physical encapsulation,electrostatic effect,covalent cross-linking".After an initial screening of all articles based on inclusion and exclusion criteria,71 articles with high correlation were retained for review. RESULTS AND CONCLUSION:In cell or animal experiments,nanocomposite hydrogel has the effect of improving osteoarthritis.Nanocomposite hydrogel can promote cartilage repair,improve the internal environment of osteoarthritis,and achieve the therapeutic purpose of osteoarthritis by improving the mechanical environment between joints,carrying targeted drugs,and promoting the chondrogenesis of seed cells.At present,the research of nanocomposite hydrogel in osteoarthritis disease still has a huge space to play.It is expected to open up a new way for the clinical treatment of osteoarthritis by continuing to deepen the research of material preparation and actively carrying out cell and animal experiments.