Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective To investigate the failure distribution characteristics of semiconductor coolers for medical devices and to analyze the failure mechanisms at different time periods.Methods Firstly,a sample of a pilot semiconductor cooler used in some medical device was used as the object,and all the failure data within the last 4 years were collected,screened and organized.Secondly,the failure data were fitted based on the Weibull distribution,and the failure distribution characteristics were analyzed by shape parameters.Finally,based on the failure distribution characteristics,mechanism analysis was carried out with the typical failure samples selected from three time periods of early failure,random failure and wear-out failure,and the causes of failure were found out.Results The failures of semiconductor coolers occurring in the three time periods presented different types of mechanisms,and the failure distribution conformed to the Weibull distribution.The causes included the mechanical stress damage for early failures,the process defect for random failures and water vapour penetration due to sealant aging after long-term operation of the semiconductor cooler.Conclusion The failure patterns of semiconductor coolers for medical devices are revealed effectively,providing a scientific basis for the design,improvement and reliability assessment of semiconductor coolers used in medical equipment.[Chinese Medical Equipment Journal,2025,46(5):34-38]

OBJECTIVE: To identify prognostic genes associated with lysosome-dependent cell death (LDCD) in patients with gastric cancer (GC). METHODS: Differentially expressed genes (DEGs) were identified using The Cancer Genome Atlas - Stomach Adenocarcinoma. Weighted gene co-expression network analysis was performed to identify the key module genes associated with LDCD score. Candidate genes were identified by DEGs and key module genes. Univariate Cox regression analysis, and least absolute shrinkage and selection operator regression and multivariate Cox regression analyses were performed for the selection of prognostic genes, and risk module was established. Subsequently, key cells were identified in the single-cell dataset (GSE183904), and prognostic gene expression was analyzed. Cell proliferation and migration were assessed using the Cell Counting Kit-8 assay and the wound healing assay. RESULTS: A total of 4,465 DEGs, 95 candidate genes, and 4 prognostic genes, including C19orf59, BATF2, TNFAIP2, and TNFSF18, were identified in the analysis. Receiver operating characteristic curves indicated the excellent predictive power of the risk model. Three key cell types (B cells, chief cells, and endothelial/pericyte cells) were identified in the GSE183904 dataset. C19orf59 and TNFAIP2 exhibited predominant expression in macrophage species, whereas TNFAIP2 evolved over time in endothelial/pericyte cells and chief cells. Functional experiments confirmed that interfering with C19orf59 inhibited proliferation and migration in GC cells. CONCLUSION C19orf59, BATF2, TNFAIP2, and TNFSF18 are prognostic genes associated with LDCD in GC. Furthermore, the risk model established in this study showed robust predictive power.
Stomach Neoplasms/pathology* ; Humans ; Prognosis ; Lysosomes/physiology* ; RNA-Seq ; Cell Death ; Single-Cell Analysis ; Gene Expression Regulation, Neoplastic ; Cell Proliferation ; Single-Cell Gene Expression Analysis

Objective To investigate the failure distribution characteristics of semiconductor coolers for medical devices and to analyze the failure mechanisms at different time periods.Methods Firstly,a sample of a pilot semiconductor cooler used in some medical device was used as the object,and all the failure data within the last 4 years were collected,screened and organized.Secondly,the failure data were fitted based on the Weibull distribution,and the failure distribution characteristics were analyzed by shape parameters.Finally,based on the failure distribution characteristics,mechanism analysis was carried out with the typical failure samples selected from three time periods of early failure,random failure and wear-out failure,and the causes of failure were found out.Results The failures of semiconductor coolers occurring in the three time periods presented different types of mechanisms,and the failure distribution conformed to the Weibull distribution.The causes included the mechanical stress damage for early failures,the process defect for random failures and water vapour penetration due to sealant aging after long-term operation of the semiconductor cooler.Conclusion The failure patterns of semiconductor coolers for medical devices are revealed effectively,providing a scientific basis for the design,improvement and reliability assessment of semiconductor coolers used in medical equipment.[Chinese Medical Equipment Journal,2025,46(5):34-38]

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective To explore the efficacy and safety of recombinant human anti-severe acute respiratory syn-drome coronavirus 2(anti-SARS-CoV-2)monoclonal antibody injection(F61 injection)in the treatment of patients with coronavirus disease 2019(COVID-19)combined with renal damage.Methods Patients with COVID-19 and renal damage who visited the PLA General Hospital from January to February 2023 were selected.Subjects were randomly divided into two groups.Control group was treated with conventional anti-COVID-19 therapy,while trial group was treated with conventional anti-COVID-19 therapy combined with F61 injection.A 15-day follow-up was conducted after drug administration.Clinical symptoms,laboratory tests,electrocardiogram,and chest CT of pa-tients were performed to analyze the efficacy and safety of F61 injection.Results Twelve subjects(7 in trial group and 5 in control group)were included in study.Neither group had any clinical progression or death cases.The ave-rage time for negative conversion of nucleic acid of SARS-CoV-2 in control group and trial group were 3.2 days and 1.57 days(P=0.046),respectively.The scores of COVID-19 related target symptom in the trial group on the 3rd and 5th day after medication were both lower than those of the control group(both P＜0.05).According to the clinical staging and World Health Organization 10-point graded disease progression scale,both groups of subjects improved but didn't show statistical differences(P＞0.05).For safety,trial group didn't present any infusion-re-lated adverse event.Subjects in both groups demonstrated varying degrees of elevated blood glucose,elevated urine glucose,elevated urobilinogen,positive urine casts,and cardiac arrhythmia,but the differences were not statistica-lly significant(all P＞0.05).Conclusion F61 injection has initially demonstrated safety and clinical benefit in trea-ting patients with COVID-19 combined with renal damage.As the domestically produced drug,it has good clinical accessibility and may provide more options for clinical practice.

Cells are the fundamental structural and functional units of biological organisms,with inherent differences in composition and interactions with exogenous substances,known as cellular heterogeneity.Single cell inductively coupled plasma-mass spectrometry(SC-ICP-MS)allows for the high-throughput introduction of individual cells,enabling the highly sensitive detection and quantification of elements within a single cell,thus effectively providing information on cellular heterogeneity.This review outlined the SC-ICP-MS sample preparation process for different types of cells(single-cell systems,aggregation-prone and adherent cell systems,animal tissues,and plant tissues),including steps such as separation,washing,and fixation,as well as the advantages and existing issues of the current sample introduction systems and quantification methods.The recent applications of SC-ICP-MS in detecting endogenous substances(endogenous elements and proteins),exogenous substances(heavy metals,metal-based drugs and nanoparticles),and the simultaneous detection of both endogenous and exogenous substances were summarized.Finally,the perspectives on the future development of SC-ICP-MS in analytical methods and application fields were presented,including the optimization of single-cell sample preparation,transport efficiency,evaluation standards of ionization efficiency,and the establishment of multiparametric cell analysis platforms.

Purpose/Significance Taking Jiashan county's chronic disease management mode based on blockchain as an example,new strategies for chronic disease management under the integrated county medical community mode are discussed.Method/Process U-sing the PEST-SWOT analysis method,the paper analyzes the strengths,weaknesses,opportunities and threats of the chronic disease management mode based on blockchain in Jiashan county from 4 aspects:politics,economy,society,and technology.Result/Conclu-sion The chronic disease management mode based on blockchain technology can ensure seamless connection and sharing of data,guaran-tee the security and traceability of patients'personal information and health records,and promote the common development of blockchain technology and chronic disease management in Jiashan county.

BACKGROUND: Previous studies have extensively investigated traditional predictors of cardiovascular disease (CVD) development, progression, and prognosis. However, the influence of novel indicators such as Klotho, on CVD prevalence and prognosis in the general population remains unclear. METHOD: This was an observational study that utilized cross-sectional and longitudinal methods to examine the general population in the National Health and Nutrition Examination Survey (NHANES) 2007-2016. The participants were divided into four groups according to the Klotho quartiles. Primary outcome was CVD [coronary artery disease (CAD), congestive heart failure, and stroke], secondary outcomes were all-cause mortality and cardiovascular mortality. Survey-weighted binary logistic regression analysis was used to analyze the association between Klotho and the prevalence of primary outcome, and the restricted cubic spline (RCS) curve was used to further analyze the nonlinear relationship. Subgroup analyses were conducted to investigate the association between Klotho values and CVD prevalence using survey-weighted binary logistic regression. The incidence of the secondary outcomes among four groups was assessed through Kaplan-Meier survival analysis. Additionally, the relationship between Klotho values and secondary endpoints was explored using survey-weighted Cox proportional hazards regression across various patient subpopulations. RESULTS: A total of 12,146 participants (56.8 ± 10.7 years, 48.5% male) were included in our study. The total incidence of CVD was 9.9% (n = 1201), of which 4.7% (n = 574) were CAD, 3.7% (n = 454) were congestive heart failure, and 4.1% (n = 497) were stroke. Binary logistics regression analysis showed that higher Klotho quartiles were associated with the decreased prevalence of CVD [Quartile 4 vs. Quartile 1: odds ratio (OR) (95% CI): 0.77 (0.64-0.93), P = 0.006] and congestive heart failure [Quartile 4 vs. Quartile 1: 0.75 (0.56-0.99), P = 0.048], However, no significant associations were found between Klotho levels and the outcomes of CAD or stroke. RCS curve illustrated a high Klotho value was negatively correlated with the prevalence of CVD (nonlinear P = 0.838), congestive heart failure (nonlinear P = 0.110) and stroke (nonlinear P = 0.972). No significant interactions were observed in any subgroups regarding the associations between Klotho and prevalence of CVD. After a median follow-up period of 93 months (range: from 1 to 160 months), there were 1228 cases (10.1%) of all-cause mortality in the general population, including 296 cases (2.4%) of cardiovascular mortality. The Kaplan-Meier curves indicated that lower Klotho levels were associated with a significant increase in all-cause mortality across the general population, CVD population, and non-CVD population. As Klotho levels decreased, there was also a notable rise in cardiovascular mortality in both the general population and the CVD population. In the overall population, Cox regression analyses demonstrated that higher Klotho values were associated with a decreased risk of both all-cause and cardiovascular mortality. And no significant interaction was observed in the CVD subgroup regarding the association between Klotho and mortality. CONCLUSION High Klotho level was associated with low prevalence of CVD and low risk of mortality in general population.