Objective:To investigate the efficacy of the intelligent version of the Montreal Cognitive Assessment Scale(MoCA)in identifying mild cognitive impairment(MCI)in elderly inpatients.Methods:Seventy-five patients diagnosed with mild cognitive impairment(MCI group)from the Neurology and Geriatrics Departments of a tertiary hospital in Changsha City, along with 195 patients with normal cognitive function(normal control group), were selected between July 2020 and December 2022.Both groups underwent evaluations using the intelligent version of the Montreal Cognitive Assessment(MoCA)and the Mini Mental State Examination(MMSE), and the results were analyzed.Results:The MCI group showed significantly lower total MoCA scores and MMSE scores[(19.73±2.42) vs.(24.8±2.33)]compared to the normal control group[(24.47±2.02) vs.(26.50±1.65)], with a statistically significant difference( P<0.01).The optimal cut-off score for the MoCA was found to be 23.5 points in diagnosing MCI, showing higher sensitivity, specificity, and kappa value(96.0%, 82.1%, and 0.690)compared to the MMSE scale(90.0%, 62.6%, and 0.428). Conclusions:The intelligent MoCA has a high screening accuracy for identifying MCI in this population, demonstrating superior sensitivity and specificity compared to the MMSE.

Objective To address the challenges of poor performance and lack of interpretability in existing models,the SHAP algorithm is used to develop an interpretable machine learning model that offers a novel approach to wound age estimation,Methods Based on the previous discovery of the expression of 35 wound age healing-related genes in contused skeletal muscle,the woun age estimaton model was constructed using four algorithms,namly,Multilayer Perceptron(MLP),Random Forest(RF),LightGBM(LGBM),and Support Vector Machine(SVM).The SHAP(Shapley Additive Explanation)algorithm was used to rank the importance of genetic features,eliminate redundant attributes,and optimize the model for accurate wound age estimation.the genetic features of the optimal model were analyzed using SHAP's local interpretation capabilities.Results The best results were obtained using model of MLP(area under the curve(AUC)=0.99)The wound ages were classified into four categories:4～12 h,16～24 h,28～36 h,and 40～48 h,using only 15 gene features.According to SHAP analysis,Fam210a was identified as the most relevant gene.Local analysis revealed that high expression of Fam210a contributed to an increase in the predicted probability of 4 h～12 h,while high expression of Rae1 contributed to an increase in the predicted probability of 16 h～24 h.Additionally,low expression of Tbx18 contributed to an increase in the predicted probability of 28 h～36 h,whereas high expression of Tbx18 contributed to an increase in the predicted probability of 40 h～48 h.Conclusions The combined MLP and SHAP model can be used to predict wound age.Using the SHAP interpreter can better understand the degree of contribution of feature genes to the model prediction,and lay the foundation for further in-depth study of wound age estimation.

The global COVID-19 coronavirus pandemic has infected over 109 million people, leading to over 2 million deaths up to date and still lacking of effective drugs for patient treatment. Here, we screened about 1.8 million small molecules against the main protease (M^pro) and papain like protease (PL^pro), two major proteases in severe acute respiratory syndrome-coronavirus 2 genome, and identified 1851M^pro inhibitors and 205 PL^pro inhibitors with low nmol/l activity of the best hits. Among these inhibitors, eight small molecules showed dual inhibition effects on both M^pro and PL^pro, exhibiting potential as better candidates for COVID-19 treatment. The best inhibitors of each protease were tested in antiviral assay, with over 40% of M^pro inhibitors and over 20% of PL^pro inhibitors showing high potency in viral inhibition with low cytotoxicity. The X-ray crystal structure of SARS-CoV-2 M^pro in complex with its potent inhibitor 4a was determined at 1.8 Å resolution. Together with docking assays, our results provide a comprehensive resource for future research on anti-SARS-CoV-2 drug development.
Humans ; Antiviral Agents/chemistry* ; COVID-19 ; COVID-19 Drug Treatment ; High-Throughput Screening Assays ; Molecular Docking Simulation ; Protease Inhibitors/chemistry* ; SARS-CoV-2/enzymology* ; Viral Nonstructural Proteins

OBJECTIVES: Acute ischemic stroke (AIS) is one of the main causes of disability in middle-aged and elderly people, and early activity plays an important role in functional recovery. This study aims to understand the factors that affect the implementation of early activity in patients with AIS and to provide reference for promoting early activity implementation and developing intervention strategies for AIS patients. METHODS: Using purposive sampling, 19 AIS patients and their caregivers who visited at Stroke Center in the Third Xiangya Hospital of Central South University and the Third Hospital of Changsha from June to December 2021, as well as 19 medical staff, hospital administrators, or community workers providing medical health services to stroke patients, were selected as interviewes. A semi-structured interview was conducted based on the social ecological theory model, and the Colaizzi seven-step method was used to analyze the interview data. RESULTS: According to qualitative interview results, the factors affecting early activity in AIS patients were summarized into 4 themes and 12 sub-themes: medical staff factors (insufficient knowledge and skills, insufficient knowledge of early activity, unclear division of responsibilities), patient factors (severity of the disease, lack of knowledge, psychological pressure, fear of falling), social environmental factors (lack of social support, shortage of human resources and rehabilitation equipment, insufficient medical insurance support), and evidence and norms (the evidence for early activity needs improvement, lack of standardized early activity procedures). CONCLUSIONS Early activity in AIS patients is impacted by factors at multiple levels, including medical staff, patients, social environment, and evidence and norms. Developing comprehensive intervention strategies to address these factors can promote early activity implementation in AIS patients.
Aged ; Middle Aged ; Humans ; Ischemic Stroke ; Accidental Falls ; Fear ; Social Environment ; Stroke

Objective:To understand the current situation of early mobilization in elder patients with acute ischemic stroke, and to analyze the influencing factors of early mobilization in patients with different degrees of neurological deficits, aiming to provide evidence for promoting early mobilization in patients with stroke and for formulating intervention strategies.Methods:Patients with acute ischemic stroke admitted to the stroke centers of two class A tertiary hospitals in Hunan Province between January and December 2021 were enrolled.The degree of neurological impairment, activities of daily living and muscle strength were evaluated within 24 hours after admission, and patients' performance of early mobilization was recorded.Based on whether patients performed out-of-bed activities such as sitting at the bedside, standing or walking, transferring from bed to chair within 48 hours after admission, they were divided into an early ambulation group and a non-early ambulation group.Univariate analysis and Logistic regression analysis were then used to examine the influencing factors of early ambulation in patients with mild to moderate neurological deficits.Results:Among 257 patients with acute ischemic stroke, 60.7%(156 cases)conducted early mobilization.The rate of early mobilization for patients with moderate neurological deficits was only 12.9%(12/193), significantly lower than that for patients with mild neurological deficits(87.8%, 144/164)( χ2=139.571, P<0.001).Univariate analysis showed that there were significantly differences in the level of activities of daily living, stroke history, strength of the upper and lower limbs of the affected side between the early and non-early ambulation groups with moderate neurological impairment(all P<0.05), and there were significant differences in the level of activities of daily living between the early ambulation group and the non-early ambulation group in patients with mild neurological impairment( χ2=11.907, P<0.001).Logistic regression analysis showed that requiring assistance in daily life( OR=4.189, 95% CI: 1.724-10.668, P=0.002), muscle strength of the affected lower extremity ≤ grade 3( OR=9.605, 95% CI: 2.627-35.113, P=0.001)and moderate neurological deficits( OR=8.585, 95% CI: 3.216-22.913, P<0.001)were the risk factors of early mobilization in stroke patients. Conclusions:The rate of stroke patients with moderate neurological impairment performing early mobilization is low within 48 hours after admission.Activities of daily living ability, limb muscle strength and degrees of neurological deficits are influencing factors of early mobilization in stroke patients.

OBJECTIVE To identify the chemical composition of Xiaoshi granules， and investigate its potential mechanism of action in the treatment of functional dyspepsia （FD）. METHODS Firstly， ultra-performance liquid chromatography tandem quadrupole time-of-flight mass spectrometry was used to analyze the composition of the Xiaoshi granules， and then network pharmacology was used to screen the potential targets of the Xiaoshi granules for the treatment of FD. Molecular docking of core components and targets was performed by using AutoDock Tools 1.5.6 software. RESULTS A total of 53 major chemical components， mainly flavonoids and organic acids， were identified from Xiaoshi granules. Network pharmacology screened core components such as quercetin， isorhamnetin， kaempferol and rutin， six core targets such as estrogen receptor （ESR1）， signal transducer and activator of transcription （STAT3）， androgen receptor（AR）， cellular tumor antigen （TP53）， hypoxia-inducible factor 1 subunit α in breast cancer tissue（HIF1A）， proto-oncogene tyrosine protein kinase （SRC）， and obtained major signaling pathways such as phosphatidylinositol 3-kinase （PI3K）-protein kinase B （Akt）， advanced glycosylation products （AGE）-receptor for advanced glycosylation end products （RAGE）， mitogen-activated protein kinase （MAPK）. The molecular docking results showed good docking activity between the core components and the core targets. CONCLUSIONS Xiaoshi granules may act on STAT3， HIF1A， SRC and other targets through quercetin， isorhamnetin， kaempferol and other active ingredients to regulate PI3K- Akt， AGE-RAGE， MAPK and other signal pathways， thus exerting its therapeutic effect on FD.

Objective:To explore the short-term outcomes of dual kidney transplantation and summarize its safety and feasibility.Methods:From September 2018 to September 2019, a total of 7 dual kidney transplantations were performed. And retrospective analysis was performed for baseline profiles, clinical data and postoperative complications.Results:The mean age was (62.7±8.5) years for donors and (43.9±9.3) years for recipients. The Remuzzi score of 6 paired kidneys ranged from 4 to 6 points. During follow-ups, the survival rate of 7 dual kidney transplantation grafts and recipients was 100%. The median follow-up period was 16 months. Renal function of 6 recipients normalized within 1 week and delayed graft function (DGF) occurred in one case. All of them underwent unilateral kidney transplantation with an average operative duration of (5.6±1.4) hours. There was no onset of operative complications. One case of rejection was not confirmed by biopsy. Among three patients of lung infections, there was one case of severe pneumonia. In 3 cases, lateral plasma flow of transplanted kidney exceeded that of medial plasma flow.Conclusions:Dual kidney transplantation in adults is both safe and feasible so as to expand the availability of donated kidney.

Purpose: From the perspective of positive psychology, our study aimed to explore depressive symptomsand psychological well-being among Chinese nurses, as well as analyze the impacts of characterstrengths, self-efficacy and social support on the mental health of nurses. Methods: A cross-sectional and descriptive design using five self-reported questionnaires was used toinvestigate a cohort of 4238 nurses during 2018. A structural equation modeling analysis was used toverify a hypothetical model linking character strengths, self-efficacy, social support, depressive symptoms,and psychological well-being. Results: The prevalence of depression among this cohort of Chinese nurses was 58.1%. The mean scoresfor caring, inquisitiveness, and self-control were 19.93 (SD = 2.82), 15.94 (SD = 3.00), and 16.34(SD = 2.95), respectively. The hypothesized model was a good fit of the data (x2/df = 1.77, p = .183, rootmean square error of approximation = 0.04, goodness of fit index = 1.00, comparative fit index = 1.00,TuckereLewis index = 1.00). Except for the path from self-control to depression, the other hypotheticalpaths investigated were statistically significant. Conclusion Character strengths were directly and positively associated with psychological well-being.Inquisitiveness was the strongest direct protective factor for depression. In addition, characterstrengths indirectly alleviated depression and increased psychological well-being through mediatingvariables of social support and self-efficacy. This study should alert nurse managers that more attentionshould be paid to the character strengths and mental health of nurses. This study provides evidence forinterventions based on character strengths as a management strategy to support the mental health ofnurses.

Objective:To explore the clinicopathologic features and risk factors of IgA nephropathy (IgAN) after kidney transplantation.Methods:A retrospective analysis was conducted for biopsy-confirmed IgAN patients after transplantation from January 2016 to September 2019. The clinicopathological characteristics and risk factors of IgAN after expanded criteria donor (ECD) donor for kidney transplantation were examined by statistical analysis of general clinical data and Oxford classification during and after transplantation.Results:The diagnostic rate of IgAN after transplantation was around 12.77%. The clinical symptoms occurred at an average of 22.5 months after transplantation. 66.67%(12/18) patients were in stage 3-4 chronic kidney disease (CKD). There were microscopic hematuria (76.92%) and varying degrees of proteinuria (88.89%). The scores of pathological parameters were as follows: 78% patients with mesangial cell proliferation (M1), 17% with endothelial cell proliferation (E1), 65% with segmental sclerosis (S1), 39% with moderate-to-severe tubules atrophy/interstitial fibrosis (T1/T2) and 17% with crescent formation (C1) respectively. Tubuloatrophy/interstitial fibrosis was associated with estimated glomerular filtration rate (eGFR) at biopsy ( P<0.05). Group of urine protein quantification >1g/d and group of <1g/d group had statistically significant differences in segmental sclerosis and adhesion lesion ( P<0.05). Conclusions:Oxford classification is valuable in the clinical evaluations of allograft IgAN: Tubular atrophy/interstitial fibrosis is associated with a decline of glomerular filtration. And segmental sclerosis and adhesion lesion are correlated with the severity of proteinuria.

Purpose: From the perspective of positive psychology, our study aimed to explore depressive symptomsand psychological well-being among Chinese nurses, as well as analyze the impacts of characterstrengths, self-efficacy and social support on the mental health of nurses. Methods: A cross-sectional and descriptive design using five self-reported questionnaires was used toinvestigate a cohort of 4238 nurses during 2018. A structural equation modeling analysis was used toverify a hypothetical model linking character strengths, self-efficacy, social support, depressive symptoms,and psychological well-being. Results: The prevalence of depression among this cohort of Chinese nurses was 58.1%. The mean scoresfor caring, inquisitiveness, and self-control were 19.93 (SD = 2.82), 15.94 (SD = 3.00), and 16.34(SD = 2.95), respectively. The hypothesized model was a good fit of the data (x2/df = 1.77, p = .183, rootmean square error of approximation = 0.04, goodness of fit index = 1.00, comparative fit index = 1.00,TuckereLewis index = 1.00). Except for the path from self-control to depression, the other hypotheticalpaths investigated were statistically significant. Conclusion Character strengths were directly and positively associated with psychological well-being.Inquisitiveness was the strongest direct protective factor for depression. In addition, characterstrengths indirectly alleviated depression and increased psychological well-being through mediatingvariables of social support and self-efficacy. This study should alert nurse managers that more attentionshould be paid to the character strengths and mental health of nurses. This study provides evidence forinterventions based on character strengths as a management strategy to support the mental health ofnurses.