Objective To explore the sleep quality and mental fatigue level in elderly patients with cerebrovascular small disease(CSVD).Methods A total of 222 patients aged over 65 years old hospitalized due to chronic diseases in Department of Neurology of the Affiliated Jiangning Hospi-tal of Nanjing Medical University from August 2022 to June 2024 were recruited prospectively and continuously.According to the CSVD score,they were divided into a CSVD group(CSVD score≥1,148 cases)and a non-CSVD group(CSVD score=0,74 cases).All the patients were evaluated by sleep quality,fatigue and neuropsychological scale when they were fully cooperated and in good condition.Subsequently,the patients in the CSVD group were further assigned into a good sleep subgroup(117 cases)and a poor sleep subgroup(31 patients).Results The CSVD group had significantly higher total score of Pittsburgh sleep quality index(PSQI),sleep quality score,sleep disturbance score,total score of self-rating fatigue,and mental fatigue score than the non-CSVD group(P＜0.01).The sleep quality score,sleep disturbance score,and mental fatigue score were risk factors for CSVD(P＜0.05).The mental fatigue score was significantly higher in the CSVD patients with poor sleep than those with good sleep(4.13±1.15 vs 2.50±1.92,P＜0.01).Conclusion Elderly CSVD patients were more likely to have decreased sleep quality and mental fatigue,and among them,those with poor sleep quality are prone to having mental fatigue than those with good sleep.

Objective:To explore the characteristics of the brain functional networks in children with spastic cerebral palsy (SCP) while at rest and to correlate them with motor functioning.Methods:Thirty-six children with SCP were enrolled as the SCP group, while thirty-four age-matched healthy children were recruited as the control group (the HC group). Functional near-infrared spectroscopy was used to detect changes in the concentration of oxygenated hemoglobin in the children′s cerebral cortex while at rest. The left prefrontal cortex (LPFC), right prefrontal cortex (RPFC), left motor cortex (LMC), and right motor cortex (RMC) were selected as regions of interest. Phase locking values (PLVs) were used to evaluate the strength of functional connectivity (FC) among these brain regions, and graph theory methods were applied to analyze the topological properties of the brain networks. Motor functioning was assessed using the gross motor function measure (GMFM).Results:The analyses of FC strength revealed that the SCP group had significantly weaker FC among all of the regions of interest while at rest compared to the HC group. Their PLVs for LPFC-RPFC, LPFC-RMC, RPFC-RMC and LMC-RMC connectivity were all significantly smaller. Graph theory analysis showed that the SCP group had significantly lower global efficiency (GE) and smaller clustering coefficients (CCs) and network density (D), while their characteristic path lengths were significantly longer. According to the correlation analysis, the PLVs for LMC-RMC connections in the SCP group were positively correlated with their scores on dimensions D and E of the GMFM ( r=0.496 and r=0.579 respectively). GE ( r=0.587 and r=0.642) and CC ( r=0.318 and r=0.759) showed similar significant positive correlations with GMFM dimensions D and E. Conclusions:At rest, the functional networks in the brains of children with SCP exhibit abnormalities closely associated with their motor dysfunction.

Objective:To investigate the correlation between body mass index (BMI)/high-density lipoprotein cholesterol (HDL-C) ratio and cerebral small vessel disease (CSVD) in middle-aged and elderly people.Methods:Consecutive middle-aged and elderly patients (aged ≥40 years) who were hospitalized for chronic disease examinations in the Department of Neurology, Jiangning Hospital Affiliated to Nanjing Medical University between February 2022 and May 2024 were included prospectively. According to the overall burden score of CSVD, they were divided into CSVD group (≥1) and non-CSVD group (0). According to age, they divided into middle-aged group (40-59 years old) and elderly group (≥60 years old). The demographic characteristics and clinical data were collected. Binary multivariate logistic regression analysis was used to determine the independent correlation between BMI/HDL-C ratio and CSVD. Forest plot was used to analyze the correlation between BMI/HDL-C ratio and CSVD in different age groups. Results:A total of 710 patients were included, with an age of 66.0±10.0 years and 361 were males (50.8%). There were 261 patients (36.8%) in the CSVD group and 449 (63.2%) in the non-CSVD group. The BMI/HDL-C ratio in the CSVD group was significantly higher than that in the non-CSVD group (23.60±7.00 vs. 20.78±6.40; P<0.001). Multivariate logistic regression analysis showed that BMI/HDL-C ratio was an independent risk factor for CSVD in middle-aged and elderly populations (odds ratio 1.046, 95% confidence interval 1.027-1.064; P<0.001). There were 475 patients in the elderly group, of which 198 (41.7%) had CSVD; there were 235 patients in the middle-aged group, of which 63 (26.8%) had CSVD. Forest plot analysis showed that the association between BMI/HDL-C ratio and CSVD still had statistical significance in different age groups, but the effect intensity was higher in the elderly group than in the middle-aged group. Conclusion:The BMI/HDL-C ratio is independently correlated with CSVD in middle-aged and elderly population, particularly significant in the elderly population.

Objective To explore the sleep quality and mental fatigue level in elderly patients with cerebrovascular small disease(CSVD).Methods A total of 222 patients aged over 65 years old hospitalized due to chronic diseases in Department of Neurology of the Affiliated Jiangning Hospi-tal of Nanjing Medical University from August 2022 to June 2024 were recruited prospectively and continuously.According to the CSVD score,they were divided into a CSVD group(CSVD score≥1,148 cases)and a non-CSVD group(CSVD score=0,74 cases).All the patients were evaluated by sleep quality,fatigue and neuropsychological scale when they were fully cooperated and in good condition.Subsequently,the patients in the CSVD group were further assigned into a good sleep subgroup(117 cases)and a poor sleep subgroup(31 patients).Results The CSVD group had significantly higher total score of Pittsburgh sleep quality index(PSQI),sleep quality score,sleep disturbance score,total score of self-rating fatigue,and mental fatigue score than the non-CSVD group(P＜0.01).The sleep quality score,sleep disturbance score,and mental fatigue score were risk factors for CSVD(P＜0.05).The mental fatigue score was significantly higher in the CSVD patients with poor sleep than those with good sleep(4.13±1.15 vs 2.50±1.92,P＜0.01).Conclusion Elderly CSVD patients were more likely to have decreased sleep quality and mental fatigue,and among them,those with poor sleep quality are prone to having mental fatigue than those with good sleep.

Objective:To explore the characteristics of the brain functional networks in children with spastic cerebral palsy (SCP) while at rest and to correlate them with motor functioning.Methods:Thirty-six children with SCP were enrolled as the SCP group, while thirty-four age-matched healthy children were recruited as the control group (the HC group). Functional near-infrared spectroscopy was used to detect changes in the concentration of oxygenated hemoglobin in the children′s cerebral cortex while at rest. The left prefrontal cortex (LPFC), right prefrontal cortex (RPFC), left motor cortex (LMC), and right motor cortex (RMC) were selected as regions of interest. Phase locking values (PLVs) were used to evaluate the strength of functional connectivity (FC) among these brain regions, and graph theory methods were applied to analyze the topological properties of the brain networks. Motor functioning was assessed using the gross motor function measure (GMFM).Results:The analyses of FC strength revealed that the SCP group had significantly weaker FC among all of the regions of interest while at rest compared to the HC group. Their PLVs for LPFC-RPFC, LPFC-RMC, RPFC-RMC and LMC-RMC connectivity were all significantly smaller. Graph theory analysis showed that the SCP group had significantly lower global efficiency (GE) and smaller clustering coefficients (CCs) and network density (D), while their characteristic path lengths were significantly longer. According to the correlation analysis, the PLVs for LMC-RMC connections in the SCP group were positively correlated with their scores on dimensions D and E of the GMFM ( r=0.496 and r=0.579 respectively). GE ( r=0.587 and r=0.642) and CC ( r=0.318 and r=0.759) showed similar significant positive correlations with GMFM dimensions D and E. Conclusions:At rest, the functional networks in the brains of children with SCP exhibit abnormalities closely associated with their motor dysfunction.

Objective: To research the prevalence and influencing factors of asymptomatic arrhythmia among college students, and provide scientific basis for heart rate control and health management of asymptomatic arrhythmia among college students. Methods: Using cluster sampling method, 3 012 college students who studied in the First Clinical Medical College of Henan University of Traditional Chinese Medicine and the Second Clinical Medical College of Henan University of Traditional Chinese Medicine were selected as the research objects from September to November 2022. After entering school in autumn (September in 2022), all college students were investigated by questionnaire, and the general data and living habits of asymptomatic arrhythmia college students and normal college students were compared. Logistic regression was used to analyze the influencing factors of asymptomatic arrhythmia among college students. Results: A total of 62 patients with asymptomatic arrhythmia were found. The detection rates of the patients with body mass index(BMI)≥24.0 kg/m 2 , systolic blood pressure(SBP)≥120 mmHg, diastolic blood pressure(DBP)≥80 mmHg, family history of cardiovascular disease, smoking, drinking, exercising less than three times a week, heavy study pressure, irregular work and rest, depression tendency and anxiety tendency were 5.58%, 4.49%, 5.63%, 6.18%, 4.26%, 4.50%, 3.72%, 4.29%, 4.28%, 9.15%,9.03%, which were significantly higher than those of patients with BMI<24.0 kg/m 2, SBP＜120 mmHg, DBP<80 mmHg, no family history of cardiovascular disease, no smoking, no drinking, exercise more than three times a week, little study pressure, regular work and rest, no depression tendency and no anxiety tendency (1.20%, 1.37%, 1.35%, 1.53%, 1.55 %, 1.59%, 1.27%, 1.52%, 1.38%, 1.71%,1.71%), and the differences were statistically significant ( χ 2=45.33, 25.20, 37.74, 32.24, 16.69, 17.25, 19.57, 17.83, 22.36, 37.23,39.42, P <0.01). Logistic regression analysis showed that the higher of BMI,SBP and DBP, family history of cardiovascular disease, smoking, drinking, times of exercise, heavy study pressure, irregular work and rest, depression tendency and anxiety tendency were positively correlated with asymptomatic arrhythmia of college students ( P <0.05). Conclusions The higher of BMI and blood pressure, family history of cardiovascular diseases, bad living habits and psychological status are related to asymptomatic arrhythmia in college students. It is of great significance to control weight and blood pressure reasonably and maintain good living habits and mental state for preventing and improving asymptomatic arrhythmia.

Purpose To construct a benign and malignant prediction model of thyroid nodules based on ultrasound image features and clinical features,and to evaluate its diagnostic efficacy.Materials and Methods The data of 121 patients diagnosed with thyroid nodules admitted to the General Hospital of Northern Theater Command from September 2020 to March 2022 were retrospectively analyzed.Taken surgical pathology as the gold standard,there were 70 benign nodules and 51 malignant nodules.Logistic regression was used to analyze the ultrasound image characteristics and clinical data of thyroid nodules,and the characteristic indexes with statistical differences were obtained and a comprehensive prediction model was established.Results There were significant differences in the maximum diameter,morphology,calcification,capsule continuity,blood flow grade,elastography score and contrast-enhanced ultrasound characteristics between benign and malignant thyroid nodules(χ2=11.709,17.707,6.901,12.785,16.984,57.095,98.854,all P<0.05).There were significant differences in age,free thyroxine/free thyroxine ratio,and free thyroxine between the two groups(χ2/t=5.944,2.519,-2.468,all P<0.05).The sensitivity,specificity and accuracy of the clinical model,ultrasonic characteristic model and ultrasonic-clinical combined model were 55.7%,98.6%and 97.0%;72.5%,94.1%and 96.1%;and 61.9%,95.1%and 95.9%,respectively.The area under the curve of the three models were 0.619,0.991 and 0.994,respectively.The diagnostic efficiency of the ultrasonic characteristic model and the combined model was superior to the clinical model,and the difference was statistically significant(Z=-1.75,-2.25,P=0.039,0.012).The area under the curve of the combined model was greater than that of the multi-modal ultrasound model,however,the difference was not statistically significant(Z=-1.60,P=0.054).Conclusion Both the multimodal ultrasound model and the clinical model have certain diagnostic value in predicting benign and malignant thyroid nodules.The diagnostic efficiency of the multimodal ultrasound model is higher than that of the clinical model,and the combined prediction model of the two can improve the diagnostic value.

Objective:To document the clinical features of children with cerebral palsy (CP) using magnetic resonance imaging (MRI).Methods:The gross motor functioning of 325 children diagnosed as having CP was graded using the gross motor function classification system (GMFCS). The GMFCS grades were correlated with MRI results in univariate and multivariate logistic regression analyses. The significance of any relationship between the MRI results and co-morbidities was tested using chi-squared tests.Results:Cerebral dysplasia, cerebroventricular enlargement, periventricular leukomalacia (PVL), abnormal signals in the thalami, and morphological changes after hypoxic ischemic encephalopathy were all found to be significantly correlated with GMFCS grading. Moreover, the chi-squared tests indicated that PVL children, children with thinning of the corpus callosum and/or abnormal signals in the thalami were significantly more likely to have visual, auditory or speech impairment complications and/or mental retardation.Conclusions:The findings from MRI correlate well with types of CP, GMFCS grades and co-morbidities among CP children. MRI can be an effective tool for early diagnosis and prognosis of CP in children, indicating needs for clinical rehabilitation.

Objective:To explore the relationship of risk factors and clinical features to assessments of children with cerebral palsy (CP ) using a magnetic resonance imaging classification system (MRICS).Methods:Medical records of CP patients under 18 years old were reviewed retrospectively. Data including high-risk factors, cranial MRI results and clinical characteristics were collected. The cranial MRI results were classified according to the MRICS.Results:Of 1357 patients studied, 1112 (82%) had received cranial MRI scans. Among them, 962 (86.5%) showed MRI-identified brain abnormalities, 489 in the periventricular white matter. Subjects with different weeks of gestation, birth weights, delivery times, neonatal hypoxic-ischemic encephalopathy, and neonatal cerebral hemorrhage had significantly different MRI classifications according to the system. Premature birth, low birth weight and multiple births correlated with the incidence of white matter brain injury. Only 4 of the subjects with neonatal cerebral hemorrhage were classified as having normal brain structures using the MRICS. However, gender, birth method, and pathological jaundice had no significant relationship with MRICS ratings. Significant differences in MRICS classifications were observed between patients with different CP subtypes, gross motor function scores, as well as with or without epilepsy, speech or language impairment. But degrees of mental retardation were not significantly related with MRICS classifications.Conclusion:MRICS classifications relate closely with risk factors and the clinical characteristics of CP patients. The system can play an important role in finding pathogenesis and predicting clinical outcomes. It is worthy of applying and promoting in the clinic.