In recent decades, ischemic stroke is increasingly prevalent, which has become the second leading cause of death and disability in the world. Insulin resistance and obesity are closely related to the development of ischemic stroke. At present, a number of studies have confirmed that obesity is associated with a variety of metabolic diseases and the role of insulin resistance played in the pathogenesis. But it is still unclear whether TyG, an indicator of insulin resistance, and TyG combined with obesity indicators can be used to predict ischemic stroke.

To assess the influencing factors of TyG, and its combination with different obesity indicators for new-onset ischemic stroke in a cohort of middle-aged and elderly people during a 10-year follow-up .

A prospective cohort design was used. The cohort included 9 406 middle-aged and elderly individuals who attended the 2011 Epidemiological Survey on Cancer Risk in Type 2 Diabetics conducted in six communities in Luzhou (including Qiancao, Xiaoshi, Longmatan, Baolaiqiao, Dashanping and Yutang) . Baseline data were collected, including TyG and its combination with different obesity indicators〔TyG-waist circumference (WC) , TyG-waist-to-height-ratio (WHtR) , TyG-body mass index (BMI) , and TyG-waist-to-hip-ratio (WHR) 〕. A 5-year follow-up initiated since June to November 2016, and a 10-year follow-up initiated since April to June 2021 were conducted, with new-onset ischemic stroke incidence (obtained through Luzhou Health Commission and Luzhou Center for Disease Control & Prevention) as an endpoint. For assessing the predictive value of baseline TyG, TyG-WC, TyG-WHtR, TyG-BMI, and TyG-WHR for new-onset ischemic stroke, patients were divided into quartiles of TyG〔Q1 (n=2 351) , Q2 (n=2 351) , Q3 (n=2 352) , Q4 (n=2 352) 〕, quartiles of TyG-WC〔Q1 (n=2 351) , Q2 (n=2 352) , Q3 (n=2 352) , Q4 (n=2 351) 〕, quartiles of TyG-WHtR〔Q1 (n=2 349) , Q2 (n=2 349) , Q3 (n=2 348) , Q4 (n=2 348) 〕, and quartiles of TyG-BMI〔Q1 (n=2 351) , Q2 (n=2 352) , Q3 (n=2 352) , Q4 (n=2 351) 〕, quartiles of TyG-WHR〔Q1 (n=2 343) , Q2 (n=2 343) , Q3 (n=2 342) , Q4 (n=2 342) 〕, respectively. Multivariate Logistic regression analysis was used to explore the relationship between TyG, TYG-WC, TYG-WTHR, TYG-BMI, TYG-WHR and new ischemic stroke in the elderly.

During the follow-up period, 527 (5.6%) of the 9 406 middle-aged and elderly people had new-onset ischemic stroke. After adjusting for multiple confounding variables, multivariate Logistic regression analysis showed that the risk of new ischemic stroke in the fourth quartile group of TyG was 1.569 times higher than that in the first quartile group of TyG〔OR=1.569, 95%CI (1.007, 2.437) , P=0.046〕. The risk of new ischemic stroke increased by a factor of 1.467, 2.012, and 2.132 in the second, third and fourth quartile groups of TyG-WC〔 OR=1.467, 95%CI (1.010, 2.131) , P=0.044; OR=2.012, 95%CI (1.270, 3.187) , P=0.003; OR=2.132, 95%CI (1.119, 4.063) , P=0.021〕compared with that in the first quartile group of TyG-WC. The risk of new ischemic stroke increased by a factor of 1.481, 1.548, and 1.705 in the second, third and fourth quartile groups of TyG-BMI 〔OR=1.481, 95%CI (1.071, 2.048) , P=0.018; OR=1.548, 95%CI (1.066, 2.247) , P=0.022; OR=1.705, 95%CI (1.054, 2.759) , P=0.030〕compared with that in the first quartile group of TyG-BMI.

The risk of new-onset ischemic stroke in middle-aged and elderly type 2 diabetics in Luzhou increased with the elevation of TyG-WC and TyG-BMI, so TyG-WC and TyG-BMI may be predictors of new-onset ischemic stroke in this population.

Stroke is one of the major public health problems affecting human health in current. Longitudinal check up data has accumulated a large amount of health information. However, the utilization rate of the longitudinal check up data is low and important information has not been fully extracted due to many problems such as missing data and small sample size, which brings difficulties to the effective prevention and control of common chronic diseases.

To explore the risk factors of stroke in check-up population based on Bayesian multivariate joint model, so as to provide a new approach for the analysis of risk factors for chronic diseases.

In this study, the data were collected from the Center for Health and Medicine, Xijing Hospital, Air Force Military Medical University from 2008 to 2015. Follow-up status: the follow up was conducted with the first occurrence of stroke as the outcome event and stopped at the occurrence of outcome event or ended when the collection of medical examination information was completed by 2015 if the outcome event did not occur. The interval between physical examinations was 1 year. The participants were divided into the stroke group and the non-stroke group according to whether stroke occurred during follow-up. Longitudinal variables observed in this study included total cholesterol (TC) , triglyceride (TG) , low density lipoprotein cholesterol (LDL-C) , high density lipoprotein cholesterol (HDL-C) , body mass index (BMI) and systolic blood pressure (SBP) . Multivariate Cox regression model was used to analyze the influence of baseline conditions on stroke outcome events. Bayesian multivariate joint model was used for analyzing the effect of longitudinal trajectory of TC, TG, LDL-C, HDL-C, BMI and SBP on the incidence of stroke during follow-up.

A total of 234 subjects with 1 581 longitudinal follow-up records were included in this study, with the mean follow-up time of (7.4±1.2) years, of which 70 cases (29.9%) developed stroke during the follow-up. The results of multivariate Cox proportional hazards model showed that there was no effect of baseline values including TC, TG, LDL-C, HDL-C, BMI and SBP on the incidence of stroke (P>0.05) . The results of Bayesian multivariate joint model showed that the risk of stroke was 1.863 times higher for per longitudinal increase of 1 mmol/L TG level 〔95%CI (1.018, 3.294) , P=0.042〕 and 1.347 times higher for per longitudinal increase of 1 mmol/L LDL-C level〔95%CI (1.045, 1.863) , P=0.046〕.

The longitudinal increase of TG and LDL-C levels over time is a risk factor for stroke in check-up population. Bayesian multivariate joint model can be used to explore the risk factors of chronic diseases in check-up population.

Middle-aged and elderly ischemic stroke patients suffer from multiple co-morbid chronic diseases, and this co-morbidity status has a great impact on the patients' healthy living standard. Currently, there are few studies on the current status of ischemic stroke co-morbidities and the analysis of co-morbidity patterns.

To understand the current status of ischemic stroke co-morbidities in middle-aged and elderly people in Henan Province, and explore the association between ischemic stroke co-morbidities, so as to provide a reference basis for the management of ischemic stroke co-morbidities, as well as the preventive and control measures.

Ischemic stroke patients over 45 years of age attending Henan Provincial People's Hospital from January 2021 to December 2022 were selected for the study, with their chronic disease prevalence counted, the status of ischemic stroke co-morbidities was compared by different demographic characteristics, and the co-morbidity patterns of ischemic stroke in the middle-aged and elderly population were investigated using cluster analysis.

A total of 1 685 middle-aged and elderly ischemic stroke patients were enrolled in this study, of whom 90.0% (1 516/1 685) had at least 1 co-morbid chronic disease; 13.6% (230/1 685) had 2 co-morbid chronic diseases, 26.9% (454/1 685) had 3 co-morbid chronic diseases, and 49.4% (832/1 685) had 4 or more co-morbid chronic diseases. The chronic diseases with high prevalence were hypertension in 1 047 cases (62.1%) and dyslipidemia in 755 cases (44.8%). Among ischemic stroke patients, the prevalence of co-morbidities was higher in females compared with males (χ²=14.516, P<0.05) ; the prevalence of co-morbidities tended to increase with age (χ²_trend=148.889, P<0.001) ; and the prevalence of co-morbidities tended to decrease with higher education (χ²_trend=30.890, P<0.001). Cluster analysis showed four patterns of co-morbidity, which were cardiovascular-metabolic patterns (hypertension, dyslipidemia, heart attack, and diabetes mellitus), patterns characterized by hepato-pulmonary-gastrointestinal-urinary disorders (chronic lung disease, renal disease, hepatic disease, gastrointestinal disorders, and urinary disorders), psychiatric-degenerative patterns (neurological or psychiatric problems, arthritis or rheumatism, disorders related to memory), and cancer.

The prevalence of co-morbidities of ischemic stroke in middle-aged and elderly people in Henan province is high, and their co-morbidity patterns include cardiovascular-metabolic patterns, patterns characterized by hepato-pulmonary-gastrointestinal-urinary disorders, psychiatric-degenerative patterns, and cancers, among which cardiovascular-metabolic patterns are more associated with ischemic stroke, and the screening and prevention of which should be better controlled.

In the current rehabilitation environment, emotional issues and cognitive dysfunctions in stroke patients are often overshadowed by physical, speech, and swallowing difficulties, leading to their underestimation in clinical rehabilitation. This oversight can result in adverse outcomes, impacting the overall success of rehabilitation. Currently, clinical treatments primarily rely on pharmacotherapy to alleviate symptoms, which has limited effectiveness and can cause a range of adverse reactions.

To observe the efficacy of precision exercise prescriptions on anxiety, depression, and cognitive functions in stroke patients and to preliminarily analyze the underlying mechanisms of action.

A total of 84 stroke patients hospitalized in the Rehabilitation Department of Changzhou Dean Hospital from January 2022 to March 2023 were selected. They were randomly divided into a control group (42 patients) and an experimental group (42 patients). The control group received standard rehabilitation treatment, while the experimental group received precision exercise prescriptions based on cardiopulmonary exercise testing (CPET) results in addition to standard rehabilitation, over 12 weeks. The Self-rating Anxiety Scale (SAS), Self-rating Depression Scale (SDS), Mini-mental State Examination (MMSE) scores, and Homocysteine (Hcy) levels were compared before and after rehabilitation training in both groups. A Pearson correlation analysis was conducted between pre-rehabilitation Hcy levels and SAS, SDS, MMSE scores.

All 42 patients in the experimental group completed the CPET and the 12-week precision exercise prescription rehabilitation without any adverse events. Before rehabilitation training, there were no statistically significant differences in SAS, SDS, MMSE scores, and Hcy levels between the two groups (P>0.05). After rehabilitation training, the scores of SAS, SDS, and Hcy levels in the experimental group were significantly lower compared to pre-treatment values (P<0.05), and which were significantly lower than those of the control group (P<0.05). The MMSE score in experimental groups increased significantly after interventions compared to pre-treatment value (P<0.05), and it was significantly higher than that of the control group (P<0.05). There were no significant differences in SAS, SDS, MMSE scores, and Hcy levels before and after rehabilitation training in the control group (P>0.05). Pearson correlation analysis revealed a positive correlation between Hcy levels and SAS, SDS scores (r-values of 0.420 and 0.507, respectively, P<0.05) and no correlation with MMSE scores (r=0.079, P=0.473) .

Our findings suggest that precision exercise prescriptions significantly improve anxiety, depression, and cognitive functions in stroke patients, suggesting their potential as a novel therapeutic approach in clinical applications. Hcy may be one of the mechanisms through which precision exercise prescriptions improve anxiety and depression in stroke patients. Further research is needed to determine whether Hcy is related to the improvement of cognitive functions through this prescription.

The number of dementia patients is increasing along with the aging of the population. Dementia greatly impairs health and quality of life of patients, so early prevention and identification are particularly important.

To compare the results of the brief Community Screening Interview for Dementia (CSI-D) and the Mini-Mental State Examination (MMSE) in dementia screening, and to assess the examination consistency of the two scales.

In November 2021, we collected data of a sample of 2 668 middle-aged and elderly people with complete data (including assessment results of CSI-D and MMSE, sex, age, place of residence, education level and marital status) of the CHARLS 2018. The brief CSI-D and MMSE were used to screen the risk of dementia. Pearson correlation analysis was used to analyze the correlation of the scores of the brief CSI-D with those of MMSE. The consistencies of the two scales in the screening of dementia in all cases and subgroups divided by personal characteristics were calculated, the overall consistency was assessed using Kappa statistic.

The average CSI-D score and average MMSE score for all participants were (5.84±2.26) and (24.93±3.24) , respectively. Pearson correlation analysis showed that the brief CSI-D score was positively correlated with the MMSE score (r=0.394, P<0.001) . The overall prevalence of dementia was 27.36% (730/2 668) screened by the brief CSI-D, and was 22.11% (590/2 668) by the MMSE, showing statistically significant difference (χ²=40.167, P<0.001) . The consistency of the two scales in screening dementia in all cases was 20.22%, and ranged from 12.50% to 30.43% in screening dementia in subgroups divided by personal characteristics. Kappa statistic showed that the kappa value between the two scales was 0.121 (P<0.001) , suggesting a weak level of consistency.

In general, there are differences and weak consistency in the screening results of dementia between CSI-D and MMSE in general household population. Therefore, the use of the scales should be analyzed according to the actual situation. The in-depth comparison and discussion on the screening accuracy of the two scales could be further performed in combination with the gold standard for diagnosing dementia.

Hypertension and mild cognitive impairment (MCI) are ordinary health problems in the elderly. The research on the status and risk factors of hypertension complicated with MCI in elderly population in the community is insufficient.

To inquire into the prevalence of hypertension combined with MCI in urban communities and analyze the possible influencing factors of its comorbidities.

Five communities with a relatively high proportion of elderly population were selected in Yinchuan City and Wuzhong City of Ningxia Hui Autonomous Region by typical sampling from September to November 2011. A health survey was conducted among all community residents aged≥55 years in the communities. 509 patients with hypertension were included, and multivariate Logistic regression was used to analyze the influencing factors of hypertension patients with MCI. The regression coefficient of each influencing factor was used as the weight to calculate individual predictive risk value, and receiver operating characteristic curve (ROC curve) was drawn to evaluate the predictive value of individual predictive risk value for hypertensive patients with MCI.

The patients were divided into hypertension with MCI group (n=97) and hypertension without MCI group (n=412) according to whether they were combined with MCI. There were statistically significant differences in age distribution, gender, smoking, hypertension grade, depression score, uric acid and albumin between the two groups (P<0.05) . Age≥75 years old〔OR=2.63, 95%CI (1.31, 5.27) 〕, gender〔OR=0.46, 95%CI (0.22, 0.94) 〕, albumin〔OR=0.96, 95%CI (0.91, 0.99) 〕, depression score〔OR=1.06, 95%CI (1.01, 1.10) 〕, hypertension grade 2〔OR=2.12, 95%CI (1.16, 3.89) 〕, hypertension grade 3〔OR=2.38, 95%CI (1.22, 4.66) 〕were the influential factors for hypertensive patients with MCI (P<0.05) . ROC curve analysis results showed that the area under ROC curve of individual predictive risk value predicting hypertensive patients with MCI was 0.72〔95%CI (0.65, 0.78) , P<0.001〕. The optimal cut-off value was 0.18, the sensitivity was 0.69, and the specificity was 0.63.

Community hypertension patients aged 75 years or older, with grade 2 or higher hypertension, with depressive symptoms, and female patients had an increased risk of MCI, screening programs and treatment of hypertension and depression symptoms can be helpful on maintaining cognitive function.

Diabetes mellitus is an important risk factor for the onset, recurrence, disability and lethality of ischemic stroke. Assessing the prevalence of diabetes in patients with ischemic stroke, and carrying out targeted comprehensive prevention and control can effectively improve the prognosis of patients.

To understand the current situation of ischemic stroke patients complicated with diabetes in Liaoning Province, and to provide a theoretical basis for targeted intervention.

From 2017 to 2018, a cross-sectional survey of ischemic stroke patients (≥40 years old) in 28 villages/communities in 6 counties and districts in Liaoning Province was conducted by a combination of stratified sampling, cluster sampling, and random sampling. Multivariate logistic regression was used to analyze the influencing factors of diabetes prevalence, awareness, treatment and control of ischemic stroke patients.

The prevalence, awareness, treatment, and control rates of diabetes among ischemic stroke patients in Liaoning Province were 29.5% (289/980) , 63.3% (183/289) , 56.4% (163/289) , and 47.2% (77/163) , respectively. Multivariate logistic regression suggested that urban residence〔OR=1.818, 95%CI (1.317, 2.508) , P<0.001〕, family history of diabetes〔OR=2.790, 95%CI (1.922, 4.050) , P<0.001〕, hypertension 〔OR=1.813, 95%CI (1.160, 2.834) , P=0.009〕, high triglycerides〔OR=2.312, 95%CI (1.631, 3.277) , P<0.001〕, high-low density lipoprotein cholesterol 〔OR=2.241, 95%CI (1.300, 3.865) , P=0.004〕, and being overweight or obese〔OR=1.562, 95%CI (1.136, 2.146) , P=0.006〕 were the risk factors to diabetes mellitus in ischemic stroke patients; Having an urban residence〔OR=1.865, 95%CI (1.086, 3.203) , P=0.024〕, and having a family history of diabetes〔OR=2.402, 95%CI (1.306, 4.416) , P=0.005〕 favored diabetes awareness, and high cholesterol〔OR=0.389, 95%CI (0.215, 0.705) , P=0.002〕 disfavored diabetes awareness; 60-69 years old〔OR=3.052, 95%CI (1.523, 6.115) , P=0.002〕, urban residence〔OR=1.866, 95%CI (1.104, 3.155) , P=0.020〕, family history of diabetes〔OR=2.303, 95%CI (1.275, 4.161) , P=0.006〕 favored the treatment of diabetes, and high cholesterol〔OR=0.387, 95%CI (0.210, 0.713) , P=0.002〕disfavored the treatment of diabetes; Urban residence〔OR=1.916, 95%CI (1.021, 3.595) , P=0.043〕 favored blood glucose control in patients with ischemic stroke and diabetes.

The prevalence of diabetes in patients with ischemic stroke in Liaoning Province is relatively high, while the awareness, treatment and control of the disease are still at a low level. Factors such as place of residence, having a family history of diabetes are beneficial for improving the knowledge, treatment, and control of diabetes in patients with ischemic stroke, and comprehensive prevention and control are urgently needed

Stroke is a cardiovascular disease that seriously endangers human health, which is characterized by high prevalence, disability and mortality rates. Peony bark is the dried root bark of peony in the buttercup family, which has the effect of clearing heat and cooling blood, activating blood circulation and resolving blood stasis. Paeonol (PAE) is the main active ingredient of peony bark, has been confirmed to have neuroprotective effect under hypoglycemia and hypoxia conditions.

To observe the effect and neurobiological mechanism of gastric administration of paeonol solution on improving behavioral dysfunction caused by middle cerebral artery occlusion (MCAO) , a kind of stroke, in a mouse model.

The study was conducted from December 2019 to December 2021. Twenty SPF male C57BL/6 mice were randomized into SHAM group (n=10) and model group (MCAO group, n=10) . The MCAO model was formed by intraluminal suture method. After 24 hours of modeling, the neurological function of each group was evaluated by Longa Score. Laser Speckle Contrast Imaging was used to monitor the changes of cerebral blood flow after MCAO. TTC staining was used in the pathological examination of cerebral infarction in MCAO mice. For investigating the protective effect of PAE on behavioural dysfunction of MCAO mice, 50 SPF male C57BL/6 mice were randomly grouped into SHAM group (n=10) , model+corn oil group (n=20) , and model+PAE group (n=20) . After the verification of model stability at 24 hours following the modeling, the model+PAE group received intragastric administration of PAE and corn oil solution in a concentration of 100 mg·kg^-1· d^-1, and the other two groups were gavaged with equal amounts of corn oil. Then on the 28th day after of modelling, survival curve was plotted to assess the survival status of mice in the three groups; the neurological recovery of mice was determined using the Longa Score; the area of cerebral infarction was examined by Nissl staining. The behavioural changes in motor sensory function were tested at five time points: the day before modeling, and 7, 14, 21 and 28 days after modelling. For exploring the mechanism of PAE improving behavioural dysfunction in MCAO mice, 30 SPF male C57BL/6 mice were randomly divided into SHAM group (n=6) , model+corn oil group (n=12) and model+PAE group (n=12) . After verifying the model stability at 24 hours following the modeling, the model+PAE group received intragastric administration of PAE and corn oil solution in a concentration of 100 mg·kg^-1· d^-1, and the other two groups were gavaged with an equal amount of corn oil. The expression of interleukin 1β (IL-1β) protein in the striatum of mouse brain was measured by Western blotting on the second day after modelling to investigate whether PAE could reduce the inflammatory response in the brain during the acute period. The expression of ionized calcium-binding adapter molecule 1 (IBA1) and glial fibrillary acidic protein (GFAP) in the penumbra was measured by immunofluorescence on the 14th day after modelling.

The 28-day survival rate was 66.47% for the model+corn oil group, and 81.43% for model+PAE group. Log-rank test showed that the 28-day survival curve significantly differed across SHAM group, model+corn oil group, and model+PAE group (χ²=1.436, P<0.05) The Longa Score was lower in model+PAE group than in model+corn oil group on the 28th day after modelling (P<0.05) . The differences in the expression levels of IBA1 and GFAP in brain tissues of the three groups were statistically significant (P<0.05) . Specifically, the expression levels of IBA1 and GFAP in brain tissues in SHAM group were lower than those of the other two groups (P<0.05) . The expression levels of IBA1 and GFAP in brain tissues in model+PAE group were lower than those in model+corn oil group (P<0.05) . On the second day after modelling, model+corn oil group had higher expression level of IL-1β in striatum than both SHAM group and model+PAE group (P<0.05) .

PAE could control the inflammatory response in the acute stage, reduce the area of acute cerebral infarction, prolong the survival time and improve the motor sensory function in the mouse model of MCAO.

Hemiplegia patients in the convalescent period of stroke generally have gait, balance dysfunction and the risk of falling, which seriously affects their daily living ability and prognosis. Traditional exercise therapy such as Tai Chi can play its unique advantages as an intervention, but there are different practice routines and insufficient evidence of evidence-based medicine, which limit its clinical application.

To observe the effect of modified Tai Chi on the disorder of gait and balance and fall efficacy in patients with hemiparesis in convalescent stage of stroke.

A total of 68 patients with hemiplegia in the convalescent stage of stroke who were admitted to the Second Affiliated Hospital of Heilongjiang University of Chinese Medicine from June 2020 to July 2021 were selected and divided into an observation group (n=34) and a control group (n=34) by random number table method. On the basis of routine rehabilitation treatmentonboth groups, the control group received motor relearning program (MRP) , whereas the observation group received modified Tai Chi intervention, once a day, 30 min a time, and 5 days a week, for 8 weeks. The two groups were assessed before and after the intervention using Fugl-Meyer assessment of lower extremity (LE-FMA) , 6-min walking test (6MWT) , Berg Balance Scale (BBS) , timed up and go test (TUGT) , modified Barthel index (MBI) , step length, frequency and speed, and modified fall efficacy scale (MFES) .

One case dropped out in the observation group, and a total of 33 cases were included, while there was no dropout in the control group, and a total of 34 cases were included. There was no significant difference between the two groups on the results of LE-FMA, 6MWT, BBS, TUGT, MBI, step length, frequency and speed, and MFES before the treatment (P>0.05) . No significant difference was found in TUGT time and step length between the two groups after the treatment (P>0.05) . However, after the treatment, LE-FMA, BBS, MBI, MFES scores, step frequency and speed in the observation group were higher than those in the control group, and 6MWT walking distance was longer (P<0.05) . Furthermore, LE-FMA, BBS, MBI, MFES scores, step frequency and speed after treatment were higher than those before treatment, 6MWT walking distance was longer and TUGT time was shorter than that before treatment (P<0.05) .

Modified Tai Chi can effectively improve gait and balance disorder and fall efficacy in patients with hemiparesis in the convalescent stage of stroke.

Stroke has become the 3rd leading cause of death among urban residents in China, and the combined rate ofrisk factorssuch as hypertension, diabetes, and dyslipidemia is high among urban high-risk groups. Liaoning Province is a high incidence area of stroke in China, however, there are a few studies on the recurrence of stroke and its combined risk factors in the northern urban areas.

To explore the recurrence status of surviving stroke patients aged over 40 and its combined risk factors in urban areas of Liaoning Province, in orderto provide a theoretical basis for formulating effective secondary prevention strategies.

From September 2018 to December 2020, 6 349 permanent urban residents aged over 40 in Liaoyang, Dandong, Benxi, and Chaoyang Cities of Liaoning Province were selected according to the economic and regional distribution using stratified cluster random samplingand investigated. A total of 488 surviving stroke patients were included and their recurrence rate and associated risk factors were analyzed in this study.

There were 244 males and 244 females among the 488 surviving stroke patients, the average age was (65.8±7.5) years old and the proportion of patients aged 60-69 was the largest (43.7%) ; There were 352 (72.1%) first-onset stroke patients, 136 (27.9%) recurrent stroke patients, and a recurrence rate of 27.9% among surviving stroke patients; The recurrence rates of male and female surviving stroke patients were 29.5% (72 cases) and 26.2% (64 cases) , respectively, and the difference was not statistically significant (χ²=0.652, P=0.419) . The recurrence rate of stroke among people aged 40-49, 50-59, 60-69, 70-79 and ≥80 years old was 4/11, 23.4% (22/94) , 25.4% (54/213) , 35.9% (47/131) and 23.1% (9/39) , respectively, there was no significant difference in recurrence rate between male and female surviving stroke patients in different age groups (P>0.05) .The current drinking rate of the relapsed patients was lower than that of the first-onset stroke patients, and the awareness rate of hypertension, dyslipidemia, the treatment rate of dyslipidemia, and the control rate of dyslipidemia were higher than those of the first-onset stroke patients, and the difference was statistically significant (P<0.05) .

The recurrence rate of surviving stroke patients aged over 40 in urban areas of Liaoning Province is high, and patients with recurrence have higher rates of smoking, physical inactivity, overweight or obesity, and poor control of combined risk factors such as hypertension and diabetes mellitus, which require comprehensive and effective secondary prevention measures to reduce the risk of recurrence, disability and death in stroke patients.

Enteral nutrition support can effectively improve the nutritional status of patients with severe brain injury, which is beneficial to the prognosis of patients. However, the relevant literature in China and abroad lacks a systematic nutritional management plan for such patients, and there is rare summary of the best evidence for enteral nutrition support.

To retrieve and summarize the best evidence of enteral nutrition support in adult patients with severe brain injury, and provide evidence-based evidence for the clinical nutrition management of such patients.

All evidence on enteral nutrition in adult patients with severe brain injury was retrieved from databases and websites including BMJ Best Practice, Up To Date, GIN, NICE, NGC, RNAO, Yimaitong, ESPEN, ASPEN, SCCM, ESICM, JBI Library, Cochrane Library, PubMed, EMBase, CINAHL, CBM, CNKI, Wanfang Data, VIP. The retrieved evidence included guidelines, evidence summaries, best practices, expert consensus, systematic reviews and meta-analysis. The retrieval period was from April 2011 to April 2021. Corresponding quality evaluation criteria were used to evaluate the quality of the included literature, and the evidence was described and summarized using the JBI Evidence-based Health Care Center Evidence Pre-grading System (2014 edition) and JBI Evidence Recommendation Rating System (2014 edition) .

A total of 18 articles were included, including 5 clinical guidelines, 3 evidence summaries, 3 expert consensus, 2 systematic reviews, and 5 meta-analysis. Their methodological qualities were rated high overall. Finally 25 pieces of best evidence involving 8 aspects were nutrition screening, nutrition assessment, timing of initiating enteral nutrition, energy and protein requirements, enteral nutrition composition, feeding route, infusion method and complication management.

When giving enteral nutrition to adult patients with severe brain injury, medical staff need to implement it based on the best evidence. At the same time, an individualized enteral nutrition support program should be formulated in combination with the current medical status and specific treatment goals in China to improve the effect of nutritional support, thereby improving the clinical outcome of patients.

Handwriting synthesis techniques have been extensively studied in the detection of cognitive impairment in dementia and Parkinson's disease. But handwriting characteristics in older adults with mild cognitive impairment (MCI) still need to be studied further.

To explore the differences between the handwriting characteristics of elderly patients with MCI and normal elderly people, and to assess the value of handwriting features in MCI screening.

By use of convenience sampling, 33 older adults with MCI were recruited from Huzhou communities from January to April 2022 (observation group), and were compared to age-, sex- and education level-matched 43 community-living older adults with normal cognitive function (control group). The General Information Questionnaire, the Mini-Mental State Examination (MMSE), the Montreal Cognitive Assessment-Basic (MoCA-B), the Activity of Daily Living Scale (ADL), and the 15-item Geriatric Depression Scale (GDS-15) were used to survey subjects. Subjects were invited to complete six handwriting tasks (four are Chinese characters tasks and the other two are graphical drawing tasks) using a dot matrix digital pen to collect their kinematic parameters of handwriting. The classification accuracy, sensitivity and specificity of handwriting characteristics for the diagnosis of MCI were analyzed by discriminant analysis and receiver operating characteristic (ROC) curve, and predictive values of different schemes for MCI were analyzed.

Compared with the control group, the observation group had higher average pressure in writing (Z=-2.122, P=0.034), longer time in air (Z=-4.302, P<0.001), writing time (Z=-3.663, P<0.001) and total time (t'=-5.565, P<0.001), lower average writing velocity (Z=-2.458, P=0.014), horizontal (Z=-2.950, P=0.003) and vertical (Z=-2.094, P=0.040) average writing velocity and maximum horizontal writing velocity (Z=-2.206, P=0.027), lower average acceleration of writing in horizontal direction (Z=-2.667, P=0.008) and overall score for writing correctness (Z=-3.593, P<0.001) in completing graphical drawing tasks. The observation group had relatively longer time in air (Z=-3.464, P=0.001) and total time (Z=-2.940, P=0.003) in completing Chinese characters tasks. Compared with the total time for completing Chinese characters tasks, the total time for completing graphical drawing tasks had higher specificity (93.0% vs 55.8%) in differentiating between MCI and control groups, with an area under the curve (AUC) of 0.828. The summary of handwriting characteristics for graphical drawing tasks correctly classified 80.3% (61/76) of older adults with MCI, with 87.9% sensitivity and 79.1% specificity, and had higher diagnostic efficacy for those with MCI than the MMSE scale (Z=1.993, P=0.046) and the summary of handwriting characteristics for Chinese characters tasks (Z=2.408, P=0.016) .

Handwriting characteristics of graphical drawing tasks may have potential application in screening of older adults at risk for MCI, which can be used simultaneously or prior to sets of neuropsychological tests conducted for the diagnosis of MCI in community health care facilities.

In the context of aging in our country, the incidence and recurrence rates of acute ischemic stroke (AIS) are increasing year by year, and the mortality and disability rates are high. In recent years, the application of stress hyperglycemia ratio (SHR) in cardiovascular and cerebrovascular diseases has become more and more common, but its research in the recurrence of mild AIS is currently limited.

To explore the correlation between SHR and the recurrence of mild AIS in elderly patients within one year, and to provide a more theoretical basis for the prevention of AIS recurrence.

The study selected patients who were first diagnosed with mild AIS at the Shijiazhuang Fifth Hospital from May 2018 to January 2022. The study started with the diagnosis of mild AIS and ended one year after the diagnosis. A nested case-control study was conducted, and patients who were confirmed to have a recurrence within one year were included in the recurrence group. The non-recurrence group was matched at a ratio of 1∶3 based on 'diagnosis time, age, gender, infarction location, and whether they have diabetes'. A total of 70 patients were included in the recurrence group, and 210 patients were matched in the non-recurrence group. Through the Hospital Information System (HIS), patients gender, age, history of hypertension, history of atrial fibrillation, BMI, baseline NIHSS score, LDL-C, HbA_1c, random blood glucose on admission, etc. were collected, and the SHR was calculated. Multivariate conditional Logistic regression analysis was used to explore the correlation between SHR and the 1-year recurrence of mild AIS in elderly patients. This study is likely investigating the influence of the SHR on the recurrence of AIS within one year in elderly patients.

The average age of the 280 patients was (71.9±6.4) years; 176 were male (62.9%), and 104 were female (37.1%) ; 88 patients (31.4%) had a history of diabetes. According to the median of the data, stress hyperglycemia ≥10 mmol/L was considered high, <10 mmol/L was considered low; SHR>1.04 was considered high, ≤1.04 was considered low. Multivariate conditional Logistic regression analysis showed that stress hyperglycemia (OR=2.983, 95%CI=1.488-5.977), SHR (OR=3.056, 95%CI=1.579-5.914) were factors affecting the 1-year recurrence of mild AIS in elderly patients (P<0.05). Among the 88 patients with a history of diabetes and mild AIS, 22 had a recurrence within 1 year, and 66 did not; among the 192 patients without a history of diabetes and mild AIS, 48 had a recurrence within 1 year, and 144 did not. The results of multivariate conditional Logistic regression analysis in the stratified analysis showed that SHR was still a factor affecting the 1-year recurrence of mild AIS in elderly patients with (OR=3.757, 95%CI=1.019-13.845) and without (OR=3.129, 95%CI=1.162-8.427) a history of diabetes (P<0.05). The relationship between SHR and the recurrence of mild AIS was further explored in the total population of elderly patients with mild AIS, divided into 4 subgroups at intervals of SHR=1.00, 1.40, 1.80. The results showed that SHR=1.41-1.80 and >1.80 were more likely to affect the 1-year recurrence of mild AIS in elderly patients than SHR≤1.0 (P<0.05), and SHR had no interaction with whether there was a history of diabetes (P_interaction>0.05, P_trend<0.05, OR=1.627) .

Regardless of whether elderly young AIS patients have diabetes, SHR has a consistent impact on the recurrence of elderly young AIS patients within one year, and both are its independent influencing factors; compared with stress blood glucose, SHR has a wider range of applications. The higher the SHR (increasing by 0.4 each time), the greater the risk of recurrence within one year for elderly young AIS patients (increasing by 0.627 times) .

Twenty-six patients characteristics associated with thrombolytic effect were included for establishing models. The dimensionalities were reduced to two principal components by PCA, explaining 93.1% of the total variance. Comparison analysis revealed that the Wide&Deep model had the best predictive performance with an accuracy of 0.815, and an F-index of 0.871. Furthermore, the values of the area under the receiver operating characteristic (AUC) curve of the Wide&Deep model in predicting the thrombolytic effect in patients in the training set and test set were 0.753 and 0.793, respectively. The number of hidden layers and neurons in each layer of the model was 7 and 15, respectively. Using sigmoid as the activation function showed that the model parameters were optimal. The feature-engineering analysis of factors influencing the improvement of neurological function showed that the importance of medication type, administration mode and dosage ranked high, and the importance ranking in a descending order was: cerebrovascular disease history, type of medication, mode of administration, single dose, atherosclerosis, therapeutic time window of thrombolytic therapy, prevalence of use of anticoagulant drugs and drugs for promoting blood circulation and removing blood stasis. After simplifying the independent variables of the model, the accuracy of the Wide&Deep model was 0.819, and its accuracy was 0.801 suggested by the external verification after model simplification, indicating good predictive performance and generalizability.Conclusion The Wide&Deep model has proven to have excellent evaluation indicators. The importance of influencing factors of thrombolytic effect in a descending order is: cerebrovascular disease history, type of medication, administration mode, single dose, atherosclerosis, therapeutic time window of thrombolytic therapy, prevalence of use of anticoagulants and blood-activating and stasis-removing drugs. It provides clinicians with timely and effective thrombolysis treatment support involving thrombolysis related factors and individualized administration using AI-based algorithms.

There is no epidemiological survey of hemorrhagic stroke with a large sample size in China. Jiangxi Province faces high and rapidly increased prevalence of cerebrovascular disease in its resident population.

To understand the epidemiological characteristics and hospitalization costs of hemorrhagic stroke inpatients in Jiangxi, offering a scientific basis for preventing and controlling the disease.

Through the management system of Diagnosis Related Groups, Informaion Center, Health Commission of Jiangxi Province, the information of patients with a primary diagnosis of hemorrhagic stroke (ICD-10 code I60-I69) discharged during 2015—2019 was collected. Based the data, the epidemiological characteristics and hospitalization costs associated with hemorrhagic stroke were anayzed.

Of the 128 788 cases, 115 254 (89.49%) had cerebral hemorrhage and 13 534 (10.51%) had subarachnoid hemorrhage. During the period, the overall rate of hospitalization attributed to hemorrhagic stroke increased from 64.36/100 000 to 86.05/100 000, showing an upward trend (χ²=1 144.969, P<0.001) . The overall rate of hospitalization attributed to cerebral hemorrhage increased from 58.96/100 000 to 75.22/100 000, demonstrating an upward trend (χ²=727.089, P<0.001) . And the overall rate of hospitalization attributed to subarachnoid hemorrhage increased from 5.41/100 000 to 10.83/100 000, presenting an upward trend (χ²=659.513, P<0.001) . The top five comorbidities and complications of hemorrhagic stroke were hypertension, pulmonary infection, cerebral infarction, other cerebrovascular diseases, and diabetes. The median length of stay for hemorrhagic stroke was 14 (14) days. The median total hospitalization cost increased from 14 300.61 yuan to 15 982.47 yuan, and it varied significantly by year (H=834.590, P<0.001) . Drug cost accounted for the largest proportion of the total hospitalization cost in 2017—2019 (greater than 35% each year) , showing no significant difference across the three years (H=3.323, P=0.190) .

From 2015 to 2019, the rates of hospitalization attributed to hemorrhagic stroke and its two subtypes (cerebral and subarachnoid hemorrhage) demonstrated an upward trend in Jiangxi, with hypertension and lung infection as the most common comorbidities, and relatively heavy burden of hospitalization costs. Reducing the risk of complications and drug cost may contribute to the decrease of financial burden of these patients.

The prevalence of age-related cognitive impairment, including dementia, has significantly increased with population aging. It has been shown that cognitive function is associated with gait status. Previously, researchers used statistical analysis methods instead of machine learning methods to study the gait of amnestic mild cognitive impairment (aMCI) and Alzheimer's disease (AD) .

To develop a model to identify aMCI and AD based on gait status using machine learning methods, explore gait markers differentiating between aMCI and AD, and to assess their possible values as aided tools in diagnosing aMCI and AD.

We recruited 102 cases from the Rehabilitation Hospital Affiliated to National Research Center for Rehabilitation Technical Aids, the First People's Hospital of Foshan, and Affiliated Zhongshan Hospital of Dalian University from December 2018 to December 2020, and included 98 of them according to the screening criteria, including 55 patients with aMCI, 10 patients with AD, and 33 healthy controls (HC) . The gait parameters of the participants were collected during performing single-task (free walking) , dual-task (counting backwards in sevens) and another dual-task (counting backwards from 100) using a wearable device. Random forest (RF) algorithm and gradient boosting decision tree (GBDT) algorithm were separately used to establish a model to compare the effect of two algorithms in recognizing three groups, with 10 gait parameters as predictive variables and the physical status (healthy, aMCI, AD) as response variables. Then important features were chosen using a machine learning algorithm combined with recursive feature elimination (RFE) .

No statistically significant differences were found among the three groups in terms of sex ratio, average age, height, body weight or shoe size (P>0.05) , while the differences in terms of average MMSE score and MoCA score were statistically significant (P<0.05) . In the free walking test, aMCI group and AD group had shorter average stride length and smaller average heel-to-ground angle (HtA) than HC group (P<0.05) . AD group had slower average gait speed and smaller average toe-off angle (ToA) than both HC group and aMCI group (P<0.05) . In performing the dual-task of counting backwards in sevens, compared with HC group, aMCI group and AD group had slower average gait speed and smaller average ToA and HtA (P<0.05) . AD group had longer average stance phase than HC group (P<0.05) . AD group had average smaller ToA than aMCI group (P<0.05) .In performing the dual-task of counting backwards from 100, AD group had slower average gait speed and smaller average HtA and ToA than both HC group and aMCI group (P<0.05) . Moreover, AD group had shorter average stride length than HC group (P<0.05) . The average HtA in aMCI group was smaller than that in HC group (P<0.05) . Using the GBDT-RFE method, we found important gait features in distinguishing between aMCI and AD to be the stride length, ToA and HtA, and the model using the RF algorithm performed better in identifying aMCI and AD, with an accuracy as high as 87.69%.

Stride length, ToA and HtA are important gait markers to identify aMCI and AD. These findings could help clinicians diagnose aMCI and AD in the future.

Cognitive impairment (CI) is highly prevalent in patients with end-stage renal disease (ESRD) , which seriously affects the prognosis of patients. Early identification of its associated factors is of great significance, but there is no agreement as to existing relevant research conclusions, and no relevant systematic reviews conducted with Chinese patients with ESRD.

To systematically evaluate the factors associated with CI in Chinese patients with ESRD.

Databases of PubMed, Web of Science, EMBase, CNKI, WanFangData, CQVIP and CBM were searched from inception to October 2021 for studies (including cross-sectional studies, cohort studies and case-control studies) about associated factors of CI in Chinese ESRD patients (with stage CKD5 defined in the 2002 Kidney Disease Outcomes Quality Initiative, or treatment with peritoneal dialysis or hemodialysis) using subject words in combination with free words as search terms with adjustment by the database feature when necessary. Two researchers independently performed literature screening, data extraction, and methodological quality assessment. Stata 15.0 was employed for Meta-analysis.

In total, 44 studies were included, including 42 172 patients, among which, the cohort studies and case-control studies were rated as high-quality evidence, and the cross-sectional studies as moderate or high-quality evidence. Meta-analysis revealed that older age〔OR=1.17, 95%CI (1.13, 1.22) , P<0.001〕, long duration of dialysis〔OR=1.02, 95%CI (1.00, 1.03) , P=0.008〕, hypertension〔OR=2.02, 95%CI (1.06, 3.86) , P=0.032〕, stroke〔OR=1.93, 95%CI (1.33, 2.80) , P=0.001〕, diabetes〔OR=1.99, 95%CI (1.62, 2.44) , P<0.001〕, high Charlson Comorbidity Index (CCI) 〔OR=5.28, 95%CI (1.48, 18.82) , P=0.010〕, depression〔OR=2.46, 95%CI (1.61, 3.77) , P<0.001〕, high parathyroid hormone (PTH) 〔OR=1.02, 95%CI (1.00, 1.04) , P=0.034〕, high C-reactive protein (CRP) 〔OR=1.20, 95%CI (1.01, 1.42) , P=0.040〕and high Hcy 〔OR=3.34, 95%CI (2.06, 5.42) , P<0.001〕 were associated with increased risk of CI, while male〔OR=0.55, 95%CI (0.37, 0.82) , P=0.003〕, high education level〔OR=0.45, 95%CI (0.37, 0.55) , P<0.001〕, high Hb〔OR=0.91, 95%CI (0.86, 0.95) , P<0.001〕, high serum ALB〔OR=0.77, 95%CI (0.63, 0.94) , P=0.009〕 and high serum creatinine〔OR=0.997, 95%CI (0.995, 0.999) , P=0.003〕were associated with decreased risk of CI.

The current evidence proves that the risk of CI in Chinese patients with ESRD may be increased with older age, long duration of dialysis, hypertension, stroke, diabetes, high CCI, depression, high PTH, high CRP and high Hcy, and decreased with male, high education level, and high Hb, ALB and Cr. However, the conclusion needs to be verified by more high-quality studies due to limited number and quality of included studies.

Lifestyle factors are important modifiable risk factors for cognitive decline and dementia. The lifestyle intervention based on scientific assessment will be an important strategy and an orientation towards the implementation of primary prevention of dementia. So far, there is no special instrument to evaluate whether a lifestyle can help to reduce the risk of dementia in community-living residents.

To develop the Dementia Risk Reduction Lifestyle Scale (DRRLS) and test its reliability and validity, providing an instrument for scientifically evaluating whether a lifestyle is conducive to reducing the risk of dementia in community-living Chinese residents.

The item pool of the DRRLS was created based on the review of related theories of health promotion and literature analysis, then was used to form the initial version of the scale after the revision in accordance with the results of expert consultations and group discussion. After this, the initial version of the scale was pretested in a convenience sample of 30 middle-aged and elderly people in the community in January 2021, and was developed to be a revised version after revising items according to the pretest results. Then from January to October, 2021, the revised scale was tested in a large convenience sample of 506 community-dwelling middle-aged and elderly individuals. After screening items using item analysis of the test results of all 506 cases, exploratory factor analysis and confirmatory factor analysis were carried out with the test results of two randomly subdivided subsamples of the sample, subsample 1 (n=253) and subsample 2 (n=253) , respectively. Finally, the test results of the total sample were used for examining internal consistency and test-retest reliability, and the formal scale was formed eventually.

The formal Dementia Risk Reduction Lifestyle Scale consists of 32 items. Eight common factors were extracted by exploratory factor analysis (Health responsibility, Brain strengthening exercise, Brain healthy diet, mental activity, smoking control behavior, interpersonal relationship, stress management, spiritual growth) , explaining 60.189% variance of the total. Confirmatory factor analysis showed that the goodness-of-fit indices of the formal scale were acceptable: χ²/df=1.657, RMSEA=0.051, GFI=0.852, AGFI=0.819, NFI=0.743, TLI=0.858, IFI=0.880 and CFI=0.876. The content validity index, Cronbach's α, split-half reliability (odd-even) , and test-retest reliability of the formal scale were 0.943, 0.862, 0.909, and 0.864, respectively.

Our scale has been tested with good reliability and validity, which could be used as a suitable instrument for evaluating whether a lifestyle helps to reduce the risk of dementia in middle-aged and elderly people in the community.

Insomnia is a common post-stroke complication, which may greatly influence patients' recovery progress, and even induce the recurrence of cerebrovascular diseases. It has been reported that the traditional Wuyintiaoshen therapy has good efficacy in post-stroke insomnia, and can decrease the harm of adverse reactions often produced by western medicine treatment via reducing the intake of such medicines.

To explore the clinical effect and possible mechanism of action of Wuyintiaoshen therapy on post-stroke insomnia.

Post-stroke insomnia inpatients (n=90) were selected from Rehabilitation Department, the Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine from January 2019 to June 2020, and equally randomized into an experimental group and a control group. Besides usual rehabilitation training and basic medical treatment, experimental group received Wuyintiaoshen therapy〔listening to the music symbolizing the five elements (metal, wood, water, fire, and earth) in Chinese philosophy〕 plus acupuncture treatment with Baihui, Shenting, and Yintang acupoints, and the control group received oral alprazolam before sleeping. The treatment for all patients was 4 weeks. Clinical efficacy was evaluated by comparing pre- and post-treatment changes in sleep quality assessed using Pittsburgh Sleep Quality Index (PSQI) , quality of life assessed using Stroke-specific Quality of Life Scale (SS-QOL) , and sensorimotor impairment using Fugl-Meyer Assessment Scale (FMA) , as well as levels of serum 5-HT, melatonin and norepinephrine. Adverse reactions were observed during treatment.

There was no significant difference in overall clinical efficacy between the two groups (P>0.05) . The incidence of adverse reactions was higher in the control group (P<0.05) . The PSQI, SS-QOL and FMA scores as well as serum levels of 5-HT, melatonin and norepinephrine were similar in both groups before and after treatment (P>0.05) . After treatment, the PSQI score and norepinephrine level decreased, and SS-QOL and FMA scores as well as serum levels of 5-HT and melatonin increased in both groups (P<0.05) , but were still similar in both groups (P>0.05) . Correlation analysis results showed that PSQI score was negatively correlated with SS-QOL or FMA score (r=-0.340, P=0.010; r=-0.350, P=0.008) .

Wuyintiaoshen therapy may produce good effects on post-stroke insomnia as an adjuvant therapy, which were similar to those of oral alprazolam, the mechanism may be related to the regulation of serum 5-HT, melatonin and norepinephrine, and sleep quality improvement had a direct linear relationship with motor function and life quality improvement.

Early neurological deterioration (END) in acute ischemic stroke is associated with permanent neurological deficits and dysfunction, and considered to be an unstable condition requiring comprehensive medical treatment. Moreover, the relationship between END and glycemic variability (GV) remains unclear.

To explore the relationship of GV, time in range (TIR) with END in patients with acute ischemic stroke and diabetes, and based on this, to develop a predictive model.

One hundred and twenty patients with acute ischemic stroke and diabetes (34 with END and 86 without) were selected from the Second Affiliated Hospital of Zhengzhou University from July 2019 to May 2021. Clinical data, GV indices 〔coefficient of variation (CV) , standard deviation (SD) , mean amplitude of glycemic excursion (MAGE) , mean of daily differences (MODD) 〕 and TIR measured by the 72-hour ambulatory continuous glucose monitoring were collected. Factors associated with END were explored by multivariate Logistic regression, and used to develop a nomogram for the prediction of END. ROC analysis was conducted to assess the predictive value of nomogram for END.

Patients with END had higher mean glycosylated hemoglobin (HbA_1c) , admission NIH Stroke Scale score, CV, SD, MAGE, and MODD, and lower mean TIR than did those without (P<0.05) . Multivariate Logistic regression analysis indicated that increased CV〔OR=1.194, 95%CI (1.027, 1.388) , P=0.021〕, SD〔OR=11.040, 95%CI (1.189, 102.473) , P=0.035〕, MAGE〔OR=3.063, 95%CI (1.062, 8.837) , P=0.038〕, and MODD〔OR=20.990, 95%CI (1.420, 201.206) , P=0.027〕 were associated with elevated risk of END, and prolonged TIR〔OR=0.877, 95%CI (0.789, 0.974) , P=0.014〕 was associated with decreased risk of END. Internal validation of the predictive value of nomogram incorporating CV, SD, MAGE, MODD and TIR for END using bootstrapping showed that its predicted value was basically consistent with the actual value, demonstrating good predictive ability. For estimating END in acute ischemic stroke combined with diabetes, the AUC of CV, SD, MAGE, MODD and TIR was 0.847〔95%CI (0.765, 0.929) , P<0.01〕, 0.812〔95%CI (0.723, 0.901) , P<0.01〕, 0.850〔95%CI (0.772, 0.928) , P<0.01〕, 0.803〔95%CI (0.710, 0.896) , P<0.01〕, and 0.825〔95%CI (0.747, 0.903) , P<0.01〕, respectively.

CV, SD, MAGE, MODD and TIR may be influential factors for END in acute ischemic stroke with diabetes, which could partially predict END. It is of clinical significance to take measures to reduce GV and prolong TIR to prevent END.

Mild cognitive impairment (MCI) is highly prevalent in hypertensive patients, but the current studies on MCI in hypertension mostly focus on the elderly group, while scarcely involve young and middle-aged patients.

To investigate the prevalence and associated factors of MCI in young and middle-aged hospitalized patients with hypertension.

A convenience sample of 213 young and middle-aged hypertensive inpatients were recruited from a tertiary grade A hospital in Harbin from May to December 2021. The General Demographic Questionnaire, Montreal Cognitive Assessment (MoCA) , and the Type-D Scale-14 (DS14) were used for understanding patients' demographics, cognitive impairment status, and D-type personality prevalence, respectively. Multiple Logistic regression was used to analyze associated factors of MCI.

The prevalence of MCI was 37.56% (80/213) . Multiple Logistic regression analysis showed that age〔OR=1.073, 95%CI (1.033, 1.115) 〕, education level〔junior college education level: OR=0.278, 95%CI (0.084, 0.920) , smoking history〔OR=2.494, 95%CI (1.146, 5.426) 〕, stage of hypertension〔stage 2: OR=3.442, 95%CI (1.252, 9.468) ; stage 3: OR=3.934, 95%CI (1.518, 10.193) 〕, D-type personality〔OR=2.160, 95%CI (1.015, 4.598) , TG〔OR=1.596, 95%CI (1.125, 2.265) 〕, and HDL-C〔OR=0.185, 95%CI (0.049, 0.707) 〕were influential factors of MCI in hypertension (P<0.05) .

Young and middle-aged hospitalized patients with hypertension had a high prevalence of MCI. Older age, lower level of education, D-type personality, higher level of TG and lower level of HDL-C were related to increased risk of MCI in hypertension. In view of this, medical workers should screen MCI in these patients to identify those at high risk of MCI as early as possible, and deliver interventions to them timely.

Cognitive impairment (CI) is a common complication of chronic heart failure (CHF) , which may significantly increase the risk of poor prognosis, so early identification of associated factors of CI in CHF is of great significance. Although there have been many relevant studies recently, their conclusions are inconsistent.

To perform a systematic review of the influencing factors of CI in CHF.

In August 2021, studies relevant to influencing factors of CI among patients with CHF were searched in databases including PubMed, Embase, The Cochrane Library, Web of Science, CINAHL, PsychINFO, CNKI, Wanfang Data, CQVIP, and SinoMed from inception to August 2021. Two researchers independently screened studies based on the inclusion and exclusion criteria, extracted data, and performed risk of bias assessment using the Newcastle-Ottawa Scale and The Agency for Healthcare Research and Quality methodology checklist, then conducted a descriptive analysis of the factors associated with CI in CHF. RevMan 5.3 was adopted for meta-analysis.

Fourteen studies were included, involving 6 324 cases of CHF, and 1 753 of them also with CI. Descriptive analysis indicated that five factors decreased the risk of CI in CHF, and 22 factors increased the risk, but the influence of sex and systolic blood pressure on CI is still far from inclusive. Meta-analysis demonstrated that education level〔OR=0.45, 95%CI (0.30, 0.70) 〕, age〔OR=1.17, 95%CI (1.10, 1.24) 〕, diabetes〔OR=2.17, 95%CI (1.17, 4.01) 〕, anemia〔OR=3.03, 95%CI (1.80, 5.10) 〕and left ventricular ejection fraction〔OR=0.91, 95%CI (0.88, 0.94) 〕were associated with CI in CHF.

High education level lowered the risk of CI in CHF, while older age, diabetes, anemia and decreased left ventricular ejection fraction increased the risk. Due to limited number and quality of included studies, the above-mentioned conclusion still needs to be verified by more high-quality studies.

Stroke in young people can lead to long-term disability and heavy social and family burden. Studies have shown that increased hypersensitivity C-reactive protein (hs-CRP) and stress blood glucose were associated with increased risk of ischemic stroke occurrence and its poor prognosis, but so far, there is still lack of research evidence in young patients with stroke.

To explore the association of hs-CRP and random blood glucose with neurological impairment, long-term and short-term prognosis in young patients with stroke, respectively.

Patients aged 18 to 45 years with first ever ischemic stroke, admitted within 72 hours of onset to the Department of Neurology, Beijing Tiantan Hospital Affiliated to Capital Medical University from 2019 to 2021 were retrospectively selected. Demographic information, risk factors, laboratory results and complications, etc. of the patients were collected. Patients were divided into 4 groups according to the quartile of hs-CRP: group Q1 (n=160) , group Q2 (n=156) , group Q3 (n=157) , group Q4 (n=157) ; patients were also divided into four groups according to the quartile of random blood glucose: group q1 (n=158) , group q2 (n=158) , group q3 (n=157) , group q4 (n=157) . The National Institutes of Health Stroke Scale (NIHSS) score>4 was used as the criterion of neurological deficit at discharge, the modified Rankin Scale (mRS) score of 2-5 was used as the criterion of poor short-term prognosis at discharge, and the mRS score of 2 to 5 at 90 d was used as the criterion of poor long-term prognosis. Logistic regression analysis was used to explore the association of hs-CRP and random blood glucose with neurological impairment, poor short-term and long-term prognosis.

Among 630 patients, 154 (24.4%) patients suffered neurological impairment, 217 (34.4%) patients had poor short-term prognosis, and 144 (22.9%) patients had poor long-term prognosis. Multiple Logistic regression analysis showed that compared with group Q1, the risks of neurological impairment〔OR=2.86, 95%CI (1.56, 5.22) ; OR=2.99, 95%CI (1.63, 5.50) 〕, poor short-term prognosis〔OR=2.14, 95%CI (1.25, 3.66) ; OR=2.80, 95%CI (1.62, 4.83) 〕and poor long-term prognosis〔OR=3.17, 95%CI (1.67, 6.01) ; OR=3.61, 95%CI (1.90, 6.86) 〕 were all increased in groups Q3 and Q4. Logistic regression analysis also showed that compared with group q1, the risk of poor long-term prognosis in group q3 was increased〔OR=1.94, 95%CI (1.07, 3.53) 〕, and the risks of poor short-term prognosis〔OR=2.05, 95%CI (1.11, 3.82) 〕and poor long-term prognosis〔OR=2.62, 95%CI (1.31, 5.24) 〕 in group q4 were also increased (P<0.05) . And consistent results were still obtained after further excluding patients with pneumonia, urinary infection and infectious diarrhea.

hs-CRP>1.18 mg/L is a risk factor for poor long-term and short-term prognosis and neurological impairment at discharge in young patients with stroke. Random blood glucose>5.56 mmol/L is associated with poor long-term prognosis, while random blood glucose>7.01 mmol/L is associated with poor short-term prognosis, but not with neurological impairment at discharge in young patients with stroke.

The COVID-19 pandemic seriously affects human health and life. COVID-19 has been reportedly associated with a high risk of thrombotic events, which are closely associated with stroke.

To assess the effect and possible mechanism of COVID-19 on stroke morbidity, providing a reliable theoretical basis for scientific prevention and treatment of COVID-19 in stroke.

We searched databases of Web of Science, PubMed, EmBase, Cochrane Library, CNKI and Wanfang Data for cohort studies and case-control studies related to COVID-19 and stroke published from December 2019 to January 2022. Two researchers conducted literature screening and data extraction separately. The Newcastle-Ottawa Scale was used to assess the quality of included studies. Meta-analysis was used to evaluate the impact of COVID-19 on stroke mortality. Funnel plot was used to evaluate the potential publication bias.

A total of 18 studies were included, 12 of them were of good quality, and other 6 were of fair quality. Meta-analysis showed that stroke patients with COVID-19 had higher mortality〔RR=4.16, 95%CI (2.82, 6.13) , P<0.000 01〕, prolonged prothrombin time (PT) 〔MD=0.78, 95%CI (0.35, 1.20) , P=0.000 3〕, higher D-dimer level〔MD=1.34, 95%CI (0.83, 1.84) , P<0.000 01〕 and higher NIHSS score〔MD=6.66, 95%CI (4.54, 8.79) , P<0.000 01〕, as well as younger age〔MD=-2.04, 95%CI (-3.48, -0.61) , P=0.005〕than those without COVID-19. There was no statistically significant difference in activated partial thromboplastin time between stroke patients with and without COVID-19〔MD=2.51, 95%CI (-2.69, 7.71) , P=0.34〕. Funnel plot assessing potential publication bias in the impact of COVID-19 on stroke mortality was basically symmetrical.

COVID-19 could increase the risk of stroke mortality, which may be related to alterations in the coagulation system manifested by abnormal PT and D-dimer level and so on. And the outcomes of stroke patients with COVID-19 were associated with age and NIHSS score at admission.

Aquatic therapeutic exercise is an emerging physical therapy technique, which provides new ideas for improving the motor function and quality of life of patients with stroke. However, it is not clear that the rehabilitation benefits obtained by patients with stroke from aquatic therapeutic exercise, and the levels of methodological quality and evidence quality of relevant studies.

To overview the systematic reviews of aquatic therapeutic exercise in improving the rehabilitation in patients with stroke.

In June 2021, Systematic reviews assessing the effects of aquatic therapeutic exercise in stroke rehabilitation were searched in databases of PubMed, the Cochrane Library, EmBase, CINAHL, Web of Science, CNKI, WanFang Data, CQVIP and SinoMed from inception to June 15, 2021. Two researchers screened systematic reviews according to the inclusion and exclusion criteria and extracted data separately. The methodological quality was evaluated using AMSTAR 2. The reporting quality was evaluated using the PRISMA. The quality of evidence for major outcomes was evaluated using the GRADE system.

A total of 9 reviews were included, 2 of which were in Chinese and 7 were in English. The analysis showed that the methodological quality of 1, 1, and 7 reviews were moderate, low, and extremely low, respectively. The reporting quality of 7 reviews were relatively complete, 1 review had some flaws, and 1 review had a serious information flaw. There were a total of 9 outcome indicators, and 49 bodies of evidence, and the quality of bodies of evidence was mostly low or very low. Aquatic therapeutic exercise improved the balance function, mobility and muscle strength of stroke patients to a certain extent. And the rehabilitation benefits had proven to be more when it was used in combination with dryland trainings.

Aquatic therapeutic exercise has proven to be effective in improving balance function, mobility and muscle strength in stroke patients with good safety. But the overall methodological quality and quality of evidence for major outcomes of included systematic reviews are unsatisfactory. It is suggested that future studies use a larger sample size and an improved design, which will provide evidence-based guidance for clinical management of stroke rehabilitation with aquatic therapeutic exercise.

Population aging has become a prominent problem in recent years. At present, there are many studies on hypertension and mild cognitive impairment (MCI) , but few studies on the relationship between masked hypertension (MH) and MCI in elderly patients.

To investigate the relationship of carotid intima-media thickness (CIMT) and epicardial fat thickness (EAT) with cognitive dysfunction in elderly patients with MH, to provide a theoretical basis for early detection of mild changes in cognitive function in this group.

A total of 255 cases were selected from Municipal Hospital of Traditional Chinese Medicine of Jiayuguan from January 2019 to February 2022, including 173 elderly inpatients and outpatients diagnosed with MH (MH group) , and 82 elderly healthy people with normal blood pressure (control group) . Ambulatory blood pressure monitoring, CIMT and EAT measurement were performed in both groups, and relevant indicators were recorded. The Montreal Cognitive Assessment (MoCA) scale was used to assess the cognitive function. Binary Logistic regression analysis was used to explore the factors associated with MCI in MH.

Compared with control group, MH group had greater average age, and higher levels of average clinic systolic blood pressure (SBP) , clinic diastolic blood pressure (DBP) , 24 h ambulatory SBP, 24 h ambulatory DBP, 24 h SBP coefficient of variation, 24 h DBP coefficient of variation, CIMT and EAT, as well as less average years of education (P<0.05) . The average scores of executive function/visuospatial ability, animal naming, attention, language, abstraction, delayed recall and average total MoCA score in MH group were significantly lower than those in control group (P<0.05) . Correlation analysis showed that the total score of MoCA was negatively correlated with age, 24 h DBP coefficient of variation, CIMT, and EAT (P<0.001) . Binary Logistic regression analysis indicated that CIMT〔OR=48.282, 95%CI (10.734, 217.168) 〕, EAT〔OR=2.124, 95%CI (1.057, 4.269) 〕 were associated with MCI in MH (P<0.05) .

Increased age, lower education level, increased 24 h SBP coefficient of variation, and increased CIMT and EAT values are risk factors for cognitive dysfunction in elderly patients with MH.

With the rapid population aging in China, cognitive impairment in older adults has become a growing public health concern.

To examine the association between nighttime sleep duration and cognitive impairment among community-dwelling older adults.

Data were derived from the cohort of Older Adult Health and Modifiable Environmental Factors established in Fuyang City from July to September 2018, among whom a total of 4 837 older adults with complete data on cognitive function and sleep time were included in this study. General demographic characteristics〔gender, age, living area (urban or rural), education level, occupation, marital status〕, living habits, the history of chronic diseases, sleep duration, and overall cognitive function were extracted. Binary Logistic regression models were used to analyze the association between nighttime sleep duration and cognitive impairment. Restrictive cubic splines were used to further determine potential dose-response relationships between them.

The participants had a mean nighttime sleep duration of (6.95±1.75) hours, among whom 1 773 (36.65%) slept ≤6 hours per day, 2 088 (43.17%) slept >6-8 hours per day, and 976 (20.18%) slept >8 hours per day. The detection rate of cognitive impairment was 37.44% (1 811/4 837). After adjusting for gender, age, living area, education level and other confounding factors, the detection rate of cognitive impairment was 1.26〔95%CI (1.09, 1.46) 〕 times higher in older adults with nighttime sleep duration of ≤6 hours, and was 1.22〔95%CI (1.03, 1.46) 〕 times higher in older adults with nighttime sleep duration of >8 hours than in those with nighttime sleep duration of >6-8 hours (P<0.05). The detection rate of cognitive impairment in male older adults with nighttime sleep duration of >8 hours was 1.35〔 (95%CI (1.06, 1.72) 〕 times higher than in those with nighttime sleep duration of >6-8 hours (P<0.05). The detection rate of cognitive impairment in female older adults with nighttime sleep duration of≤6 hours was 1.29〔95%CI (1.06, 1.58) 〕 times higher than in those with nighttime sleep duration of >6-8 hours (P<0.05). The restriction cube spline curve showed an approximate U-shaped relationship between nighttime sleep duration and the risk for cognitive impairment, with the lowest risk at 7 hours.

Both shorter and longer nighttime sleep duration may be independent and dose-dependent risk factors for cognitive impairment in older adults. The optimal sleep time is about 7 hours. The association between longer sleep duration and cognitive impairment is pronounced in males, while the association between shorter sleep duration and cognitive impairment is pronounced in females.