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 early right heart function management strategy and prognosis after left ventricular assist device(LVAD) implantation in patients with preoperative right ventricular dysfunction.Methods:A retrospective study was conducted. From March 2022 to April 2024, a total of 28 patients with end-stage heart failure underwent LVAD implantation at Nanjing First Hospital and were admitted to the intensive care unit(ICU) after surgery. Among them, patients with preoperative right ventricular dysfunction were enrolled. All patients were implanted with Corheart 6 implantable left ventricular assist device. The clinical data, occurrence of postoperative right heart failure and postoperative survival situations of enrolled patients were collected and analyzed.Results:A total of 12 patients were included in this study, including 11 males and 1 female, the mean age was(58.4±7.6) years old. Upon postoperative admission to ICU, the most commonly used positive inotropic agent was epinephrine(9 cases), followed by dobutamine(8 cases). By the second day after surgery, the most frequently utilized vasoactive medications were epinephrine and phosphodiesterase type Ⅲ inhibitors, both with 9 cases of usage. None of the enrolled patients utilized temporary mechanical circulatory assist devices. The LVAD pump speed of the patients enrolled in the study was set at approximately 2 700 revolutions per minute, and the pump flow was approximately 3 liters per minute. During the first two days after the operation, the fluid balance of the enrolled patients ranged from(-523.4±775.6)ml to(-1 248.0±1 023.9)ml. At 48 h following the operation, the mean pulmonary artery pressure(MPAP)[(26.2±4.8) mmHg vs.(32.1±6.5) mmHg(1 mmHg=0.133 kPa), P=0.042] and the pulmonary artery wedge pressure(PAWP)[(15.6±5.5)mmHg vs.(24.9±5.9) mmHg, P=0.003) ] of the enrolled patients were significantly decreased compared to preoperative levels, while the cardiac index(CI) was significantly improved[(2.7±0.2)L·min -1·m -2 vs.(2.1±0.5)L·min -1·m -2,P=0.024]. Echocardiography showed that the left atrial diameter(LAD)[(51.5±7.6)mm vs.(57.2±9.0)mm, P=0.005] and left ventricular end diastolic diameter(LVDd)[(73.5±11.5)mm vs.(78.3 ± 12.3)mm, P=0.012) ] were significantly reduced post LVAD implantation as compared to before LVAD implantation, while there was no significant difference in tricuspid annular plane systolic excusion(TAPSE). Postoperative total bilirubin(TBIL) decreased significantly compared to preoperative levels[(15.5±5.0)μmol/L vs.(27.5±17.0)μmol/L, P=0.038]. Three patients experienced right heart failure after the LVAD implantation, with an incidence rate of 25%. Nevertheless, the right heart failure was rectified during the ICU treatment period. The mean ICU treatment time for all enrolled patients was(8.6±2.9) days, the average postoperative hospital stay was(24.3±4.8) days. All enrolled patients survived at 3 months after LVAD implantation. Conclusion:Despite the presence of right ventricular dysfunction in patients before LVAD implantation, with strict fluid management, reasonable LVAD parameters, and appropriate vasoactive drugs, they are able to smoothly pass through the perioperative period, achieve the goals of left ventricular decompression, increase cardiac output, improve perfusion of the end organs, and obtain favorable short-term therapeutic effects.

Objective:To evaluate the clinical utility of machine learning model based radiomics in predicting high-risk molecular subtypes of lower-grade gliomas(LrGGs).Methods:This was a cross-sectional study. A total of 287 patients diagnosed with LrGGs in the First Hospital of Shanxi Medical University, Shanxi Provincial People′s Hospital, and the Third Hospital of Shanxi Medical University from January 2011 to September 2023 were retrospectively collected, including 166 males and 121 females; 114 cases of high-risk molecular subtypes and 173 cases of non-high-risk molecular subtypes. All patients were divided into 201 cases in the training set and 86 cases in the test set according to 7∶3 in simple randomized grouping method. All patients underwent contrast-enhanced T 1WI (CE-T 1WI) and T 2-weighted fluid-attenuated inversion recovery sequence imaging (T 2-FLAIR), and the imaging features of high-risk and non-high-risk molecular subtypes were analyzed. Analysis of variance, recursive feature elimination, and Kruskal-Wallis were used for radiomics feature screening, and a support vector machine (SVM) classifier was used to construct a radiomics-based classifier model. Univariate and multivariate logistic regression were used to analyze clinical variables independently influencing high-risk molecular subtypes of LrGGs to construct a clinical model; a combined model was developed by integrating radiomics labels and clinical variables. Receiver operating characteristic curve and area under the curve (AUC), calibration curve, and decision curve were used to compare the predictive performance of different models. Results:The patient′s age ( OR=1.042, 95% CI 1.018-1.068, P=0.001), pathological grade ( OR=2.270, 95% CI 1.212-4.311, P=0.011), MGMT methylation status ( OR=0.456, 95% CI 0.238-0.866, P=0.017), and ependymal involvement ( OR=7.335, 95% CI 2.929-18.370, P<0.001) were independent influencing factors for the high-risk molecular subtype of LrGGs, and a clinical model was developed based on these factors. An SVM model was constructed based on 12 radiomics features (3 radiomics features based on CE-T 1WI and 9 radiomics features based on T 2-FLAIR). The radiomics score of the probability output by the SVM model was combined with age, pathological grade, MGMT methylation status, and ependymal involvement to develop a combined model. The AUC values of the SVM model for predicting the high-risk molecular subtype of LrGGs were 0.824 and 0.859 in the training set and test set, respectively; the AUC values of the clinical model in the training set and test set were 0.759 and 0.721, respectively; and the AUC values of the combined model in the training set and test set were 0.823 and 0.815, respectively. The combined model had a high clinical net benefit. Conclusion:The machine learning MRI radiomics model can preoperatively predict high risk molecular subtypes of LGGrs, assist in individualized treatment decisions.

To investigate the efficacy and safety of aromatase inhibitors (AI) combined with recombinant human growth hormone (r-hGH) in improving the final height (FH) of boys in late puberty.

Objective To analyze the reverse mechano-electric effect of the layered structure of articular cartilage and its influencing factors.Methods The cartilage samples were classified according to their physiological thickness(approximately 0.4 mm for the upper layer,1 mm for the middle layer,and 0.6 mm for the lower layer).Through a non-contact external electric field testing method,how different influencing factors affected the reverse mechano-electric effect of articular cartilage was analyzed.Results When the electric field spacing decreased,water content increased,and in vitro time decreased,the displacement of normal layered cartilage in a non-contact electric field increased by 18,10,15 μm,respectively.In the case of simulated arthritis defects,as the defect depth and radius increased,the overall deviation deflection of articular cartilage gradually decreased by about 7 μm.Conclusions The three-layer cartilage differed in their reverse mechano-electricity effects,showing the greatest deflection in the middle layer at 90％water content,under 7 mm electric field spacing,and after 12 hours ex vivo.

G protein-coupled receptor 120(GPR120)is one of the membrane receptors for long chain free fatty acids and is distributed in alveolus macrophages and airway epithelial Club cells.GPR120 activation alleviates the inflammation of respiratory tract,improves airway hyper-responsiveness,stimulates proliferation of Club cells and promotes the repair of respiratory epithelium,which may attenuate asthma and acute lung injury.

Objective To investigate the correlation of plasma homocysteine(Hcy)level and the polymorphisms of its key metabolic enzymes methylenetetrahy-drofolate reductase(MTHFR)gene with ischemic stroke(IS).Methods A total of 310 patients with IS were enrolled as the case group and 330 healthy subjects during the same period were selected as the control group.Plasma Hcy concentration was detected by enzyme cycling method,and the real-time fluorescent quantitative PCR(RT-qPCR)was used to detecte the genotypes of MTHFR C677T.Results The frequencies of TT genotype(36.13%),CT genotype(10.00%)and T allele(28.06%)of MTHFR gene C677T locus in stroke patients were significantly higher than that in control group(P＜0.05).The frequency of the TT genotype was significantly higher in IS group compared to control group,indicating a recessive mode of inheritance(P＜0.05);In the dominant mode of inheritance,the frequency of CT+TT genotype in IS group was also significantly higher than that in control group(P＜0.05);The plasma Hay concentration of MTHFR C677T genotype TT,CT and CC patients was statistically different(P＜0.05),which were(20.91±6.78)μmol/L(17.20±5.39)μmol/L,(14.35±4.32)μmol/L,respectively;The area under the ROC curve(AUC)of plas-ma total Hcy level was 0.610(95%CI:0.566～0.653,P＜0.001).It indicated that it might play an impor-tant role in predicting the risk of suffering from IS.Multivariate Logistic regression analysis showed that plasma Hcy level and MTHFR C677T gene polymorphism were important risk factors of IS.Conclusions Elevated plasma Hcy level is associated with IS,and the synergistic effect of elevated Hcy level and MTHFR C677T gene mutation may increase the risk of IS.

Objective To investigate the relationship between methylenetetra-hydrofolatereductase(MTHFR)gene polymorphism and serum homocysteine(Hcy)level and subtypes of ischemic stroke(IS).Methods The study was conducted according to the matched principle of case-control design,310 patients with IS and 330 healthy people during the same period were selected as the case group and the control group.Recycling enzyme method and the real-time fluorescent quantitative PCR(RT-qPCR)method were used to detect the level of serum Hcy and the genotypes of MTHFR C677T,respectively.Results There was a significantly difference in MTHFR C677T genotype and allele frequency between the case and control groups(P＜0.05).The correlation analysis with different subtypes indicated that the frequencies of CT genotype(38.02%),TT genotype(10.74%),and T allele(29.75%)were significantly different in the LAA group(OR=1.662,95%CI:1.058-2.608,P＜0.05;OR=2.373,95%CI:1.110-5.073,P＜0.05;OR=1.663,95%CI:1.190-2.323,P＜0.05);The frequencies of TT genotype(10.53%)and T allele(27.30%)in SAO group were also significantly different(OR=2.130,95%CI:1.046-4.336,P＜0.05;OR=1.474,95%CI:1.075-2.021,P＜0.05).Further analysis of serum Hcy level showed that LAA group(19.55±5.61)μmol/L and SAO group(16.37±5.20)μmol/L were significantly higher than the control group(14.46±4.61)μmol/L(P＜0.001);Among the patients of both subtypes the serum Hcy levels in those with CT genotypes and TT genotypes were significantly higher than those in patients of CC genotypes(P＜0.001).Conclusions The gene polymorphism of MTHFR C677T has a significant effect on Hcy level in pa-tients with LAA and SAO stroke.

BACKGROUND: Senescent human skin primary fibroblast (FB) models have been established for studying aging-related, proliferative, and inflammatory skin diseases. The aim of this study was to compare the transcriptome characteristics of human primary dermal FBs from children and the elderly with four senescence models. METHODS: Human skin primary FBs were obtained from healthy children (FB-C) and elderly donors (FB-E). Senescence models were generated by ultraviolet B irradiation (FB-UVB), D-galactose stimulation (FB-D-gal), atazanavir treatment (FB-ATV), and replication exhaustion induction (FB-P30). Flow cytometry, immunofluorescence staining, real-time quantitative polymerase chain reaction, co-culturing with immune cells, and bulk RNA sequencing were used for systematic comparisons of the models. RESULTS: In comparison with FB-C, FB-E showed elevated expression of senescence-related genes related to the skin barrier and extracellular matrix, proinflammatory factors, chemokines, oxidative stress, and complement factors. In comparison with FB-E, FB-UVB and FB-ATV showed higher levels of senescence and expression of the genes related to the senescence-associated secretory phenotype (SASP), and their shaped immune microenvironment highly facilitated the activation of downstream immune cells, including T cells, macrophages, and natural killer cells. FB-P30 was most similar to FB-E in terms of general transcriptome features, such as FB migration and proliferation, and aging-related characteristics. FB-D-gal showed the lowest expression levels of senescence-related genes. In comparisons with the single-cell RNA sequencing results, FB-E showed almost complete simulation of the transcriptional spectrum of FBs in elderly patients with atopic dermatitis, followed by FB-P30 and FB-UVB. FB-E and FB-P30 showed higher similarity with the FBs in keloids. CONCLUSIONS Each senescent FB model exhibited different characteristics. In addition to showing upregulated expression of natural senescence features, FB-UVB and FB-ATV showed high expression levels of senescence-related genes, including those involved in the SASP, and FB-P30 showed the greatest similarity with FB-E. However, D-galactose-stimulated FBs did not clearly present aging characteristics.
Humans ; Fibroblasts/drug effects* ; Cellular Senescence/physiology* ; Skin/metabolism* ; Child ; Transcriptome/genetics* ; Aged ; Ultraviolet Rays ; Cells, Cultured ; Galactose/pharmacology*