Objective To explore the predictive value of MRI parameters of carotid artery plaque combined with low density lipoprotein cholesterol/high density lipoprotein cholesterol(LDL-C/HDL-C)ratio for predicting ischemic stroke in young patients with carotid atherosclerosis.Methods Totally 125 young patients with carotid atherosclerosis were prospectively included and divided into stroke group and non-stroke group based on whether ischemic stroke occurred within 3 months.Clinical data,laboratory indicators and carotid plaque-related MRI parameters were compared between groups.Based on carotid plaque-related MRI parameters being statistically different between groups,combined model 1 was constructed using multivariable logistic regression analysis,while combined model 2 was constructed combined with LDL-C/HDL-C ratio.The efficacy of each parameter and model for predicting ischemic stroke in young adults was analyzed.Results There were 48 cases in stroke group and 77 cases in non-stroke group.The levels of glycosylated hemoglobin,LDL-C,LDL-C/HDL-C ratio,carotid artery stenosis rate,plaque eccentricity index and plaque enhancement rate in stroke group were all higher than those in non-stroke group(all P＜0.05).The area under the curve(AUC)of LDL-C/HDL-C ratio,carotid artery stenosis rate,plaque eccentricity index,plaque enhancement rate,combined model 1 and 2 for predicting ischemic stroke in young adults was 0.816,0.757,0.768,0.805,0.883 and 0.936,respectively,of combined model 1 was higher than those of single parameter(all P＜0.05),while of combined model 2 was higher than that of combined model 1(Z=2.336,P=0.020).Conclusion MRI parameters of carotid artery plaque combined with LDL-C/HDL-C ratio could effectively predict ischemic stroke in young patients with carotid atherosclerosis.

Objective To establish a risk factor model for intracranial artery stenosis in young patients with acute ischemic stroke(AIS)based on high-resolution magnetic resonance vascular wall imaging(HR-VWI).Methods Young patients with AIS(n=290)treated at Hengshui People's Hospital between January 2021 and January 2023 were retrospectively analyzed and randomly divided into a modeling set(203 cases)and a validation set(n=87)at a ratio of 7∶3.Patients in the modeling set were divided into the stenosis and non-ste-nosis groups according to whether they had intracranial artery stenosis.Multivariate logistic regression was used to analyze the clinical data and HR-VWI characteristics of the patients in the modeling set to screen for factors influencing intracranial artery stenosis in young patients with AIS.R software was used to construct and verify the risk factor model.Results Among the 290 patients,88 had intracranial artery stenosis(30.34％).The proportions of low-density lipoprotein cholesterol(LDL-C),plaque load,smoking history,hypertension,and eccentric plaques were higher in the stenosis group than in the non-stenosis group(P＜0.05),and the minimum lumen area and remode-ling index were lower in the stenosis group than in the non-stenosis group(P＜0.05).Multivariate logistic regression analysis showed that smoking history,hypertension,LDL-C level,plaque load,plaque morphology,and remodeling index were all factors influencing intracra-nial artery stenosis in young patients with AIS(P＜0.05).Based on the above risk factors,R was used to build a nomogram early warning model.The ROC results showed that the AUC of the nomogram model for predicting intracranial artery stenosis in the modelling and vali-dation sets were 0.872(95％CI:0.815-0.902)and 0.850(95％CI:0.789-0.891),respectively.The Hosmer-Lemeshow test results of the modeling and validation sets were x2=0.589,P=0.571 and x2=0.602,P=0.558,respectively.The calibration curves of the two groups were consistent with the standard curves.Conclusion The risk factor model for intracranial artery stenosis in young patients built in this study based on HR-VWI features exhibits good predictive efficacy,providing a new method for clinical prevention and treatment.

Objective To explore the predictive value of MRI parameters of carotid artery plaque combined with low density lipoprotein cholesterol/high density lipoprotein cholesterol(LDL-C/HDL-C)ratio for predicting ischemic stroke in young patients with carotid atherosclerosis.Methods Totally 125 young patients with carotid atherosclerosis were prospectively included and divided into stroke group and non-stroke group based on whether ischemic stroke occurred within 3 months.Clinical data,laboratory indicators and carotid plaque-related MRI parameters were compared between groups.Based on carotid plaque-related MRI parameters being statistically different between groups,combined model 1 was constructed using multivariable logistic regression analysis,while combined model 2 was constructed combined with LDL-C/HDL-C ratio.The efficacy of each parameter and model for predicting ischemic stroke in young adults was analyzed.Results There were 48 cases in stroke group and 77 cases in non-stroke group.The levels of glycosylated hemoglobin,LDL-C,LDL-C/HDL-C ratio,carotid artery stenosis rate,plaque eccentricity index and plaque enhancement rate in stroke group were all higher than those in non-stroke group(all P＜0.05).The area under the curve(AUC)of LDL-C/HDL-C ratio,carotid artery stenosis rate,plaque eccentricity index,plaque enhancement rate,combined model 1 and 2 for predicting ischemic stroke in young adults was 0.816,0.757,0.768,0.805,0.883 and 0.936,respectively,of combined model 1 was higher than those of single parameter(all P＜0.05),while of combined model 2 was higher than that of combined model 1(Z=2.336,P=0.020).Conclusion MRI parameters of carotid artery plaque combined with LDL-C/HDL-C ratio could effectively predict ischemic stroke in young patients with carotid atherosclerosis.

Objective To establish a risk factor model for intracranial artery stenosis in young patients with acute ischemic stroke(AIS)based on high-resolution magnetic resonance vascular wall imaging(HR-VWI).Methods Young patients with AIS(n=290)treated at Hengshui People's Hospital between January 2021 and January 2023 were retrospectively analyzed and randomly divided into a modeling set(203 cases)and a validation set(n=87)at a ratio of 7∶3.Patients in the modeling set were divided into the stenosis and non-ste-nosis groups according to whether they had intracranial artery stenosis.Multivariate logistic regression was used to analyze the clinical data and HR-VWI characteristics of the patients in the modeling set to screen for factors influencing intracranial artery stenosis in young patients with AIS.R software was used to construct and verify the risk factor model.Results Among the 290 patients,88 had intracranial artery stenosis(30.34％).The proportions of low-density lipoprotein cholesterol(LDL-C),plaque load,smoking history,hypertension,and eccentric plaques were higher in the stenosis group than in the non-stenosis group(P＜0.05),and the minimum lumen area and remode-ling index were lower in the stenosis group than in the non-stenosis group(P＜0.05).Multivariate logistic regression analysis showed that smoking history,hypertension,LDL-C level,plaque load,plaque morphology,and remodeling index were all factors influencing intracra-nial artery stenosis in young patients with AIS(P＜0.05).Based on the above risk factors,R was used to build a nomogram early warning model.The ROC results showed that the AUC of the nomogram model for predicting intracranial artery stenosis in the modelling and vali-dation sets were 0.872(95％CI:0.815-0.902)and 0.850(95％CI:0.789-0.891),respectively.The Hosmer-Lemeshow test results of the modeling and validation sets were x2=0.589,P=0.571 and x2=0.602,P=0.558,respectively.The calibration curves of the two groups were consistent with the standard curves.Conclusion The risk factor model for intracranial artery stenosis in young patients built in this study based on HR-VWI features exhibits good predictive efficacy,providing a new method for clinical prevention and treatment.

Objective:To explore the current situation of nursing human caring in hospital wards and analyze its influencing factors, so as to facilitate the development of nursing human caring practice.Methods:From July to November 2022, a total of 107 hospitals were surveyed through stratified convenience sampling method, and 4 072 ward nursing managers were recruited to finish the general information questionnaire and the ward nursing human caring status questionnaire. The general information included the region, class and type of the hospital, etc. The ward nursing human caring status questionnaire included 38 items in 5 dimensions of nursing human caring system and process, humanistic quality and training of nursing staff, humanistic environment and facilities, human caring procedures and measures, and human caring quality evaluation and improvement, with a full score of 190 points. Descriptive statistics were used to analyze the general data, independent samples t-test, ANOVA and correlation analysis were used to analyze the factors influencing the current status of nursing human caring in the ward, while multiple linear regression analysis was used to conduct a multivariate analysis. Results:The score of nursing human caring in hospital wards was 156.91±27.78. Whether the hospital had carried out nursing human caring pilot(demonstration) wards, whether the ward had previously been a hospital nursing human caring pilot(demonstration) nursing unit, the type of ward, and whether nursing managers had participated in human caring training were the influencing factors of the implication of nursing humanistic caring in wards( P<0.05). Conclusions:The practice of nursing human caring in hospital wards is at a good level, but needs to be further strengthened. Nursing managers should take systematically strategies to promote the development of nursing human caring practice.

Asthenozoospermia is a condition of deficient motility of spermatozoa, and about 27.8% of male infertility results from asthenozoospermia. Its etiology is complex and its pathogenesis is still unclear, and exploring its pathogenesis can help to find effective prevention and treatment strategies. In recent years, with the development of proteomic technologies (two-dimensional electrophoresis, yeast two-hybrid technology, mass spectrum, etc.), many researchers have focused their researches on the study of asthenozoospermia based on proteomics, revealing the differential proteins of asthenozoospermia and the biological pathways that underlie them, providing numerous theoretical support for the mechanistic study of asthenozoospermia. In this review, we focus on the relevant techniques of proteomics and summarize the many achievements made in understanding the differential protein expression, etiology, and mechanism of asthenozoospermia, which will hopefully provide new insights into the diagnosis and treatment of asthenozoospermia. Protein-protein interactions and pathways and metabolic abnormalities provide a promising direction to study sperm motility in asthenozoospermia.

Asthenozoospermia is a condition of deficient motility of spermatozoa, and about 27.8% of male infertility results from asthenozoospermia. Its etiology is complex and its pathogenesis is still unclear, and exploring its pathogenesis can help to find effective prevention and treatment strategies. In recent years, with the development of proteomic technologies (two-dimensional electrophoresis, yeast two-hybrid technology, mass spectrum, etc.), many researchers have focused their researches on the study of asthenozoospermia based on proteomics, revealing the differential proteins of asthenozoospermia and the biological pathways that underlie them, providing numerous theoretical support for the mechanistic study of asthenozoospermia. In this review, we focus on the relevant techniques of proteomics and summarize the many achievements made in understanding the differential protein expression, etiology, and mechanism of asthenozoospermia, which will hopefully provide new insights into the diagnosis and treatment of asthenozoospermia. Protein-protein interactions and pathways and metabolic abnormalities provide a promising direction to study sperm motility in asthenozoospermia.

Objective To investigate the effect of first aid nursing path under the center of chest pain on the diagnosis and treatment of patients with ST-segment elevation myocardial infarction (STEMI). Methods A total of 79 cases of STEMI patients who had been selected for emergency treatment after the establishment of the chest pain center were as the experimental group. The patient's first aid nursing path was used in the center of chest pain. A total of 159 cases of STEMI patients before the establishment of the chest pain center were as the control group, Application of traditional clinical pathway. Compared to the diagnosis and treatment effect of two groups of patients. Results The rate of completed the project within 10 min for the experimental group: the completion of electrocardiogram examination (91.1% vs 84.9% ), oral aspirin, clopidogrel, or lindinda (81.0% vs 75.5%), and laboratory medical order (79.7% vs 69.8%) were higher than those in the control group, and the difference was statistically significant (χ2=2.31, 1.68, 2.06, P < 0.05). The day of hospitalization in the experimental group was less than that of the control group (6.48±3.82 vs 9.76± 4.32), and the difference was statistically significant (t=-9.80, P < 0.05). The mortality rate during hospitalization was lower than that of the control group (5.66% vs 3.8% ), and the difference was statistically significant (χ2=-2.24, P<0.05). Conclusion The first aid nursing path in the center of chest pain can shorten the time of diagnosis and treatment of STEMI patients and improve the diagnosis and treatment effect of STEMI patients.

Objective To determine whether hybrid three dimensional diffusion tensor imaging (3D DTI) contributes incremental value to standard T2WI technique for assessing neurovascular bundles (NVB) around the prostate. Methods This retrospective institutional review board-approved study included 69 consecutive patients with prostate tumor who underwent MRI including conventional T2WI and 3D DTI . DTI data were postprocessed and hybrid 3D DTI and axial T2W images were obtained. Three radiologists with one, five and thirteen years of experience in reading prostate MRI and one urologist with three years of surgical experience in urology who were blinded to patient data independently recorded their levels of preference on a five-point scale of the NVBs around the prostate on the basis of T2WI alone and hybrid 3D DTI and T2WI, respectively. The differences of scores of T2WI and hybrid 3D DTI and T2WI of the four doctors were compared by using nonparametric Wilcoxon rank. Results The average scores of hybrid 3D DTI to T2WI and alone T2WI to assess NVBs for 3 radiologists and one urologist were 4.4±0.6, 4.3±0.8, 4.2± 0.6, 4.9±0.3 and 2.9±0.8, 3.0±1.1, 1.6±0.7, 3.8±0.5, respectively. The hybird 3D DTI to T2WI improved the discrimination abilities of NVBs around the prostate for 3 radiologists and one urologist (Z values were-12.791,-9.737,-14.538,-14.901, P<0.01 respectively).The added value of hybrid DTI to T2WI for urologist is the highest, and experienced radiologist is the smallest. Conclusion The hybrid 3D DTI
contributes significant incremental value to the standard T2WI technique for assessing NVB around the prostate.

OBJECTIVETo propose a clinically practical and simple fiber tracking method for language pathways, and to explore its feasibility in preoperative planning for brain tumors adjacent to the language cortex.

METHODSDiffusion tensor imaging was examined in 18 healthy subjects and 13 patients with brain tumors adjacent to the language cortex between December 2013 and June 2014. The associated fibers of language pathways were reconstructed using a commercial software (Syngo workstation). Firstly, the feasibility of fiber tracking method for language pathways in healthy subjects were studied, and then its application was assessed in patients with brain tumors. The anatomic relationship between tumors and the associated fibers was analyzed.

RESULTSBy selecting appropriate regions of interest, the associated fibers in the dorsal pathways (superior longitudinal fasciculus/arcuate fasciculus, including both direct and indirect pathways) and ventral pathways (uncinate fasciculus, middle longitudinal fasciculus, inferior longitudinal fasciculus and inferiorfronto-occipital fasciculus) were reconstructed in all 18 healthy subjects. In patients with brain tumors, the relationship between the tumors and adjacent associated fibers were divided into two types: adjacent associated fibers could be displaced or separated, and involved the superior longitudinal fasciculus/arcuate fasciculus (n=6), middle longitudinal fasciculus (n=4), uncinate fasciculus (n=3), inferior longitudinal fasciculus (n=3) and inferiorfronto-occipital fasciculus (n=2); alternatively, the adjacent associated fibers were infiltrated or destroyed, and involved the inferiorfronto-occipital fasciculus (n=10), uncinate fasciculus (n=8), middle longitudinal fasciculus (n=5), inferior longitudinal fasciculus (n=4) and superior longitudinal fasciculus/arcuate fasciculus (n=3).

CONCLUSIONSThe associated fibers of language pathways could be visualized rapidly and in real-time by fiber tracking technology based on diffusion tensor imaging. This is feasible for preoperative planning regarding brain tumors adjacent to the language cortex.

Brain Neoplasms ; surgery ; Cerebral Cortex ; surgery ; Diffusion Tensor Imaging ; Humans ; Language ; Neural Pathways ; Postoperative Complications ; prevention & control