A Medicinal and Edible Plant Crocus sativus L.and Its Therapeutic Effects on Cardiovascular and Cerebrovascular Diseases

This paper introduces the biological characteristics,medicinal value,chemical component,and pharmacological effects of Crocus sativus L.,and explores its therapeutic effects on cardiovascular and cerebrovascular diseases such as angina pectoris and coronary heart disease.

Systems pharmacology for traditional Chinese medicine with application to cardio-cerebrovascular diseases

Identified as a treasure of natural herbal products,traditional Chinese medicine(TCM)has attracted extensive attention for their moderate treatment effect and lower side effect.Cardio-cerebrovascular diseases(CCVD)are a leading cause of death.TCM is used in China to prevent and treat CCVD.However,the complexity of TCM poses challenges in understanding the mechanisms of herbs at a systems-level,thus hampering the modernization and globalization of TCM.A novel model,termed traditional Chinese medicine systems pharmacology(TCMSP)analysis platform,which relies on the theory of systems pharmacology and integrates absorption,distribution,metabolism,excretion and toxicity(ADME/T)evaluation,target prediction and network/pathway analysis,was proposed to address these problems.Here,we review the development of systems pharmacology,the TCMSP approach and its applications in the investigations of CCVD and compare it with other methods.TCMSP assists in uncovering the mechanisms of action of herbal formulas used in treating CCVD.It can also be applied in ascertaining the different syndrome patterns of coronary artery disease,decoding the multi-scale mechanisms of herbs,and in understanding the mechanisms of herbal synergism.

Relationship of Cardiovascular and Cerebrovascular Diseases to Meteorological Conditions and Forecast Method in Nanjing City

[Objective] The study aimed to discuss the relationship of cardiovascular and cerebrovascular diseases to meteorological conditions and forecast method in Nanjing City. [Method] Based on daily cases of cardiovascular and cerebrovascular diseases from a hospital in Nanjing City as well as daily meteorological data from Nanjing Meteorological Station from January 2003 to July 2008, the monthly and seasonal variations in quantity of patients suffedng from cardiovascular and cerebrovascular diseases in Nanjing City were analyzed firstly, and then the relationship between mete- orological elements and incidence of the diseases was discussed, finally the forecast model for the incidence of the diseases was established using the stepwise regression method. [Result] Cardiovascular and cerebrovascular diseases in Nanjing City happened all the year round, and the inci- dance was high in the seasonal transition phase from autumn to winter. Daily incidence of the diseases in Nanjing City correlated negatively with dai- ly maximum, minimum and average vapor pressure, daily minimum relative humidity and so forth, but their incidence had positive correlations with diumal range of daily temperature, daily maximum, minimum and average pressure. Daily average number of patients suffering from the diseases obviously correlated with daily average temperature, daily maximum vapor pressure and daily average relative humidity. [ Conclusion] The research could provide scientific references for the prevention and forecast of cardiovascular and cerebrovascular diseases in future.

Risk factors of mortality and severe disability in the patients with cerebrovascular diseases treated with perioperative mechanical ventilation

BACKGROUND The prognosis of cerebrovascular diseases treated with mechanical ventilation during perioperative has not been clearly reported.AIM To analyze mortality and functional disability and to determine predictors of unfavorable outcome in the patients with cerebrovascular diseases treated with mechanical ventilation.METHODS A retrospective follow-up study of 111 cerebrovascular disease patients who underwent mechanical ventilation during the perioperative period in the First Hospital of Jilin University from June 2016 to June 2019 was performed.Main measurements were mortality and functional outcome in-hospital and after 3-month follow-up.According to the modified rankin scale(mRS),the functional outcome was divided into three groups:Good recovery(mRS≤3),severe disability(mRS=4 or 5)and death(mRS=6).Univariate analysis was used to compare the differences between three functional outcomes.Multivariate logistic regression analysis was used to for risk factors of mortality and severe disability.RESULTS The average age of 111 patients was 56.46±12.53 years,59(53.15%)were males.The mortality of in-hospital and 3-month follow-up were 36.9% and 45.0%,respectively.Of 71 discharged patients,46.47% were seriously disabled and 12.67% died after three months follow-up.Univariate analysis showed that preoperative glasgow coma scale,operation start time and ventilation reasons had statistically significant differences in different functional outcomes.Multiple logistic regression analysis showed that the cause of ventilation was related to the death and poor prognosis of patients with cerebrovascular diseases.Compared with brainstem compression,the risk of death or severe disability of pulmonary disease,status epilepticus,impaired respiratory center function,and shock were 0.096(95%CI:0.028-0.328),0.026(95%CI:0.004-0.163),0.095(95%CI:0.013-0.709),0.095(95%CI:0.020-0.444),respectively.CONCLUSION The survival rate and prognostic outcomes of patients with cerebrovascular diseases treated with mechanical ventilation during the perioperative period were poor.The reason for mechanical ventilation was a statistically significant predictor for mortality and severe disability.

China Association of Chinese Medicine Paper notice for seminar on clinical application of new technology of integrated Chinese and western medicine in treating sequelae of cerebrovascular diseases

Hosted by ChinaAssociation of Chinese Medicine,and organized by World Journal of Integrated traditional and western Medicine,seminar on clinical application of new technology of integrated Chinese and western medicine in treating sequelae of cerebrovascular diseases is planned to be held in Nanning,Guangxi in August.

Status of Clinical Application of Yufeng Ningxin Preparations and the Meta-Analysis of Its Efficacy and Safety in the Treatment of Cardiovascular and Cerebrovascular Diseases

Objective The objective of this study was to analyze the status of the clinical application of Yufeng Ningxin(YFNX)preparations and systematically evaluate their efficacy and safety in the treatment of cardiovascular and cerebrovascular diseases.Methods Through searching databases of China National Knowledge Infrastructure,Wanfang,SinoMed,VIP,PubMed,Embase,and the Cochrane Library,the literature of clinical research on YFNX preparations in treating malignant tumors of cardiovascular and cerebrovascular diseases from the establishment of the databases to February 2021 was collected.The clinical randomized controlled trials and case-control studies of cardiovascular and cerebrovascular diseases treated with these preparations were analyzed.Two reviewers independently screened literature,extracted data,and assessed the risk of bias in the included studies,and meta analysis was performed by using ReMan 5.3 software to analyze the eficacy and safety of YFNX preparations in the treatment of cardiovascular and cerebrovascular diseases.Results A total of 29 clinical studies were finally included.The dosage forms were dropping plls,tablets,capsules,and granules.The preparations were used for the treatment of coronary heart disease,hypertension,neuropathic headache,etc.This study systematically evaluated the efficacy and safety of YFNX preparations in the treatment of coronary heart disease,hypertension,and nervous headache.A total of 1,162 cases were included in 13 studies,582 cases of the YFNX preparation group and 580 cases of the Western medicine group.The results of meta-analysis showed that the clinical efficacy of YFNX preparations combined with the Western medicine group in the treatment of coronary heart disease and hypertension,improving electrocardiogram and reducing the frequency and duration of angina attacks,was better than that of the simple Western medicine group,and the difference was statistically significant.Conclusion YFNX preparations are effective for coronary heart disease,hypertension,and neuropathic headache,and the adverse reactions are few.

Apolipoprotein E gene polymorphism in cerebrovascular diseases of the Chinese Naxi populations from Yunnan province

Currently it is not well known whether apolipoprotein E （ApoE） is a genetic susceptibility factor for cerebrovascular diseases in the Chinese Naxi population. The present study detected and sequenced ApoE polymorphisms of 90 patients with cerebrovascular diseases （58 cases of cerebral infarction and 32 cases of intracerebral hemorrhage）, and 50 normal people of Naxi nationality from Yunnan province, China. The populations were used to analyze the relationship of ApoE polymorphisms with cerebral infarction and intracerebral hemorrhage. Results showed an association between ApoE gene polymorphism and the onset of cerebral infarction, and a possibility that the ε4 allele is a susceptibility locus for the risk of cerebral infarction. However, there was no evidence of a relationship between the ApoE gene polymorphism and cerebral hemorrhage.

Advances in arterial spin labeled cerebral perfusion imaging in cerebrovascular diseases

Cerebrovascular disease is a disease with high morbidity,disability and mortality rates,which seri-ously affects the daily life of patients and is a heavy burden on families and society.Arterial spin labeling(ASL)is a magnetic resonance imaging(MRI)technology that uses the magnetic labeling of hydrogen atoms in arterial blood as tracers to noninvasively evaluate brain blood flow.ASL does not require injection of an exogenous contrast agent,and has the advantages of no radiation,simplicity and low cost.In cerebrovascular diseases,ASL can evaluate the collateral cerebrovascular circulation and abnormal perfusion of brain tissue,which can provide a reliable basis for early diagnosis and clinical decision-making.This study reviewed ASL and its application in the diagnosis,treatment and prognosis of cerebrovascular diseases.

Mortality from cerebrovascular diseases in China:Exploration of recent and future trends

Background:Cerebrovascular disease(CVD)ranks among the foremost factors responsible for mortality on a global scale.The mortality patterns of CVDs and temporal trends in China need to be well-illustrated and updated.Methods:We collected mortality data on patients with CVD from Chinese Center for Disease Control and Prevention’s Disease Surveillance Points(CDC-DSP)system.The mortality of CVD in 2020 was described by age,sex,residence,and region.The temporal trend from 2013 to 2019 was evaluated using joinpoint regression,and estimated rates of decline were extrapolated until 2030 using time series models.Results:In 2019,the age-standardized mortality in China(ASMRC)per 100,000 individuals was 113.2.The ASMRC for males(137.7/10^(5))and rural areas(123.0/10^(5))were both higher when stratified by gender and urban/rural residence.The central region had the highest mortality(126.5/10^(5)),the western region had a slightly lower mortality(123.5/10^(5)),and the eastern region had the lowest mortality(97.3/10^(5)).The age-specific mortality showed an accelerated upward trend from aged 55-59 years,with maximum mortality observed in individuals over 85 years of age.The age-standardized mortality of CVD decreased by 2.43%(95%confidence interval,1.02-3.81%)annually from 2013 to 2019.Notably,the age-specific mortality of CVD increased from 2013 to 2019 for the age group of over 85 years.In 2020,both the absolute number of CVD cases and the crude mortality of CVD have increased compared to their values in 2019.The estimated total deaths due to CVD were estimated to reach 2.3 million in 2025 and 2.4 million in 2030.Conclusion:The heightened focus on the burden of CVD among males,rural areas,the central and western of China,and individuals aged 75 years and above has emerged as a pivotal determinant in further decreasing mortalities,consequently presenting novel challenges to strategies for disease prevention and control.

A predictive model of death from cerebrovascular diseases in intensive care units

Objective This study aimed to explore the mortality prediction of patients with cerebrovascular diseases inthe intensive care unit(ICU)by examining the important signals during different periods of admission in theICU,which is considered one of the new topics in the medical field.Several approaches have been proposed forprediction in this area.Each of these methods has been able to predict mortality somewhat,but many of thesetechniques require recording a large amount of data from the patients,where recording all data is not possiblein most cases;at the same time,this study focused only on heart rate variability(HRV)and systolic and diastolicblood pressure.Methods The ICU data used for the challenge were extracted from the Multiparameter Intelligent Monitoring inIntensive Care II(MIMIC-II)Clinical Database.The proposed algorithm was evaluated using data from 88 cerebrovascular ICU patients,48 men and 40 women,during their first 48 hours of ICU stay.The electrocardiogram(ECG)signals are related to lead II,and the sampling frequency is 125 Hz.The time of admission and time ofdeath are labeled in all data.In this study,the mortality prediction in patients with cerebral ischemia is evaluated using the features extracted from the return map generated by the signal of HRV and blood pressure.Topredict the patient’s future condition,the combination of features extracted from the return mapping generatedby the HRV signal,such as angle(𝛼),area(A),and various parameters generated by systolic and diastolic bloodpressure,including DBPMax−Min SBPSD have been used.Also,to select the best feature combination,the geneticalgorithm(GA)and mutual information(MI)methods were used.Paired sample t-test statistical analysis was usedto compare the results of two episodes(death and non-death episodes).The P-value for detecting the significancelevel was considered less than 0.005.Results The results indicate that the new approach presented in this paper can be compared with other methodsor leads to better results.The best combination of features based on GA to achieve maximum predictive accuracywas m(mean),L_(Mean),A,SBP_(SVMax),DBP_(Max-Min).The accuracy,specificity,and sensitivity based on the best featuresobtained from GA were 97.7%,98.9%,and 95.4%for cerebral ischemia disease with a prediction horizon of0.5–1 hour before death.The d-factor for the best feature combination based on the GA model is less than 1(d-factor=0.95).Also,the bracketed by 95 percent prediction uncertainty(95PPU)(%)was obtained at 98.6.Conclusion The combination of HRV and blood pressure signals might increase the accuracy of the predictionof the death episode and reduce the minimum hospitalization time of the patient with cerebrovascular diseasesto determine the future status.

Progress and challenges of cerebrovascular endothelial cells research promoted by single-cell transcriptome sequencing technology

Single-cell transcriptome sequencing has been a rapidly developing and powerful biological tool in recent years,and it plays a vital role in describing tissue development,cell heterogeneity,stress response,etc.Cerebrovascular disease is one of the leading causes affecting human health in the world.Thus,it is important to understand the characteristics of cerebrovascular structure,function,and environmental response.Notably,single-cell transcriptome sequencing provides deeper insights into cerebrovascular research in health and disease states.This article will briefly introduce the basic structure and function of cerebrovascular endothelial cells(ECs),summarize the current research and new findings on cerebrovascular ECs at the single-cell transcriptome level,and discuss the challenges in this field.

Advances in endovascular therapy for ischemic cerebrovascular diseases

Endovascular therapy for ischemic cerebrovascular diseases has developed rapidly in recent years. The latest clinical trials of acute ischemic stroke have shown promising results with the continued advancement of concepts, techniques, and materials. Mechanical thrombectomy is recommended in the treatment of acute ischemic stroke caused by large vessel occlusion of the anterior circulation, according to the guidelines updated in Europe, USA, and China. The long-term therapeutic efficacy of endovascular stenting for carotid artery stenosis has also been proved noninferior to that of carotid endarterectomy. However, the latest clinical trials have shown that the efficacy of stenting for intracranial artery and vertebral artery stenosis is inferior to that of medical treatment alone, which needs urgent attention through further development and studies.

Study design of deep learning based automatic detection of cerebrovascular diseases on medical imaging: a position paper from Chinese Association of Radiologists

In recent years,with the development of artificial intelligence,especially deep learning technology,researches on automatic detection of cerebrovascular diseases on medical images have made tremendous progress and these models are gradually entering into clinical practice.However,because of the complexity and flexibility of the deep learning algorithms,these researches have great variability on model building,validation process,performance description and results interpretation.The lack of a reliable,consistent,standardized design protocol has,to a certain extent,affected the progress of clinical translation and technology development of computer aided detection systems.After reviewing a large number of literatures and extensive discussion with domestic experts,this position paper put forward recommendations of standardized design on the key steps of deep learning-based automatic image detection models for cerebrovascular diseases.With further research and application expansion,this position paper would continue to be updated and gradually extended to evaluate the generalizability and clinical application efficacy of such tools.

Machine learning applications in stroke medicine:advancements,challenges,and future prospectives

Stroke is a leading cause of disability and mortality worldwide,necessitating the development of advanced technologies to improve its diagnosis,treatment,and patient outcomes.In recent years,machine learning techniques have emerged as promising tools in stroke medicine,enabling efficient analysis of large-scale datasets and facilitating personalized and precision medicine approaches.This abstract provides a comprehensive overview of machine learning’s applications,challenges,and future directions in stroke medicine.Recently introduced machine learning algorithms have been extensively employed in all the fields of stroke medicine.Machine learning models have demonstrated remarkable accuracy in imaging analysis,diagnosing stroke subtypes,risk stratifications,guiding medical treatment,and predicting patient prognosis.Despite the tremendous potential of machine learning in stroke medicine,several challenges must be addressed.These include the need for standardized and interoperable data collection,robust model validation and generalization,and the ethical considerations surrounding privacy and bias.In addition,integrating machine learning models into clinical workflows and establishing regulatory frameworks are critical for ensuring their widespread adoption and impact in routine stroke care.Machine learning promises to revolutionize stroke medicine by enabling precise diagnosis,tailored treatment selection,and improved prognostication.Continued research and collaboration among clinicians,researchers,and technologists are essential for overcoming challenges and realizing the full potential of machine learning in stroke care,ultimately leading to enhanced patient outcomes and quality of life.This review aims to summarize all the current implications of machine learning in stroke diagnosis,treatment,and prognostic evaluation.At the same time,another purpose of this paper is to explore all the future perspectives these techniques can provide in combating this disabling disease.

Neurological disorders and inflammatory bowel diseases

Extraintestinal manifestations occur in about one-third of patients living with inflammatory bowel disease(IBD) and may precede the onset of gastrointestinal symptoms by many years. Neurologic disorders associated with IBD are not frequent, being reported in 3% of patients, but they often represent an important cause of morbidity and a relevant diagnostic issue. In addition, the increasing use of immunosuppressant and biological therapies for IBD may also play a pivotal role in the development of neurological disorders of different type and pathogenesis. Hence, we provide a complete and profound review of the main features of neurological complications associated with IBD, with particular reference to those related to drugs and with a specific focus on their clinical presentation and possible pathophysiological mechanisms.

Noninvasive Detection of Cerebral Blood Flow and Blood Oxygen Based on Inductive Sensing Technology and Near Infrared Spectroscopy

The synchronous monitoring of cerebral blood flow and blood oxygen levels plays a pivotal role in the prevention,diagnosis,and treatment of cerebrovascular diseases.This study introduces a novel noninvasive device utilizing inductive sensing and near-infrared spectroscopy technology to facilitate simultaneous monitoring of cerebral blood flow and blood oxygen levels.The device consists of modules for cerebral blood flow monitoring,cerebral blood oxygen monitoring,control,communication,and a host machine.Through experiments conducted on healthy subjects,it was confirmed that the device can effectively achieve synchronous monitoring and recording of cerebral blood flow and blood oxygen signals.The results demonstrate the device’s capability to accurately measure these signals simultaneously.This technology enables dynamic monitoring of cerebral blood flow and blood oxygen signals with potential clinical applications in preventing,diagnosing,treating cerebrovascular diseases while reducing their associated harm.

Use of various CT imaging methods for diagnosis of acute ischemic cerebrovascular disease

Thirty-four patients with cerebral infarction and 18 patients with transient ischemic attack were examined by multi-slice spiral CT scan, CT perfusion imaging, and CT angiography within 6 hours after onset. By CT perfusion imaging, 29 cases in the cerebral infarction group and 10 cases in the transient ischemic attack group presented with abnormal blood flow perfusion, which corresponded to the clinical symptoms. By CT angiography, various degrees of vascular stenosis could be detected in 41 patients, including 33 in the cerebral infarction group and eight in the transient ischemic attack group. The incidence of intracranial artery stenosis was higher than that of extracranial artery stenosis. The intracranial artery stenosis was located predominantly in the middle cerebral artery and carotid artery siphon, while the extracranial artery stenosis occurred mainly in the bifurcation of the common carotid artery and the opening of the vertebral artery. There were 34 cases （83%） with convict vascular stenosis and perfusion abnormalities, and five cases （45%） with perfusion abnormalities but without convict vascular stenosis. The incidence of cerebral infarction in patients with National Institutes of Health Stroke Scale scores 〉 5 points during onset was significantly higher than that in patients with National Institutes of Health Stroke Scale scores 〈 5 points. These experimental findings indicate that the combined application of various CT imaging methods allows early diagnosis of acute ischemic cerebrovascular disease, which can comprehensively analyze the pathogenesis and severity of acute ischemic cerebrovascular disease at the morphological and functional levels.

Significance of ultrasound evaluation of carotid atherosclerotic plaque for diagnosing ischemic cerebrovascular disease

BACKGROUND： Carotid artery is the main source for craniocerebral blood supply. Its intimal plaque formation and arterial stenosis degree both are the risk factors for ischemic cerebrovascular disease.Therefore, the close relationship of carotid atherosclerotic plaque and ischemic cerebrovascular disease, and ultrasound evaluation of carotid atherosclerotic plaque have become the hot spot in studying ischemic cerebrovascular disease.OBJECTIVE： This study was to detect the degree of carotid atherosclerosis of ischemic cerebrovascular disease patients by ultrasonography, and to analyze the situation of carotid atherosclerosis and its relationship with clinic.DESIGN： Clinical randomized concurrent control experiment.SETTING： Lintong Convalescent Hospital of Lanzhou Military Area Command of Chinese PLA.PARTICIPANTS： Totally 60 outpatients and inpatients with ischemic cerebrovascular disease, 42 males and 18 females, admitted to Lintong Convalescent Hospital of Lanzhou Military Area Command of Chinese PLA between January 2006 and December 2006 were involved in the patient group. They met the diagnosis criteria of ischemic cerebrovascular disease constituted by the 4th Cerebrovascular Disease Conference in 1996, and were confirmed to suffer from ischemic cerebrovascular disease by skull CT and MRI. Another 20 subjects who received healthy examination concurrently in the same hospital, 12 males and 8 females, were involved in the control group. Informed consents of detected items were obtained from involved subjects.METHODS： The plaque thickness of mid portion, distal end and crotch of common carotid artery （CCA）,internal carotid artery （ICA）, external carotid artery （ECA） and vertebral artery （VA） of involved subjects,who received health examination was separately detected with color Doppler ultrasonograph （HDI-5000）.Then, total integral of plaque was calculated. The intima-media thickness （IMT） was measured with two-dimensional ultrasonography. The inner diameter stenosis degree of subjects who had plaque was measured. Blood flow parameters were recorded, and stenosis degree and plaque area were calculated. Blood flow volume of bilateral carotid artery and VA was separately measured with ultrasound equipment software,and brain blood flow volume was calculated.MAIN OUTCOME MEASURES： Atherosclerotic degree and blood flow volume of patients of two groups.RESULTS： Sixty patients with ischemic cerebrovascular disease and twenty subjects who received health examination participated in the final analysis. ①The IMT thickness, total plaque score, and total plaque area of patient group was significantly superior to that of control group, respectively（ t=5.216 - 10.158, P 〈 0.05 ）.② There were significant differences in the stenosis degree of CCA, ICA and VA between patient group and control group （t=6.720 - 12.816, P 〈 0.05 ） . ③ The blood flow volume of CCA, ICA, VA and brain of patient group was significantly lower than that of control group, respectively （t=2.872 - 10.860, P 〈 0.05）.CONCLUSION： Ischemic cerebrovascular disease patients have different degrees of changes in atherosclerosis and arterial blood flow.

Effects of the information–knowledge–attitude–practice nursing model combined with predictability intervention on patients with cerebrovascular disease

BACKGROUND Cerebrovascular disease(CVD)poses a serious threat to human health and safety.Thus,developing a reasonable exercise program plays an important role in the long-term recovery and prognosis for patients with CVD.Studies have shown that predictive nursing can improve the quality of care and that the information–knowledge–attitude–practice(IKAP)nursing model has a positive impact on patients who suffered a stroke.Few studies have combined these two nursing models to treat CVD.AIM To explore the effect of the IKAP nursing model combined with predictive nursing on the Fugl–Meyer motor function(FMA)score,Barthel index score,and disease knowledge mastery rate in patients with CVD.METHODS A total of 140 patients with CVD treated at our hospital between December 2019 and September 2021 were randomly divided into two groups,with 70 patients in each.The control group received routine nursing,while the observation group received the IKAP nursing model combined with predictive nursing.Both groups were observed for self-care ability,motor function,and disease knowledge mastery rate after one month of nursing.RESULTS There was no clear difference between the Barthel index and FMA scores of the two groups before nursing(P>0.05);however,their scores increased after nursing.This increase was more apparent in the observation group,and the difference was statistically significant(P<0.05).The rates of disease knowledge mastery,timely medication,appropriate exercise,and reasonable diet were significantly higher in the observation group than in the control group(P<0.05).The satisfaction rate in the observation group(97.14%)was significantly higher than that in the control group(81.43%;P<0.05).CONCLUSION The IKAP nursing model,combined with predictive nursing,is more effective than routine nursing in the care of patients with CVD,and it can significantly improve the Barthel index and FMA scores with better knowledge acquisition,as well as produce high satisfaction in patients.Moreover,they can be widely used in the clinical setting.

Impact of Cerebrovascular Disease Mortality on Life Expectancy in China

Objective To evaluate the impact of cerebrovascular disease mortality on life expectancy （LE） in China in 2010 compared with 2005, and to identify the high-risk population （age, sex, and region） where cerebrovascular disease mortality has had a major impact on LE. Methods LE and cause-eliminated LE were calculated by using standard life tables which used adjusted mortality data from the Death Surveillance Data Sets in 2005 and 2010 from the National Disease Surveillance System. Decomposition was used to quantitate the impact of cerebrovascular disease in different age groups. Results LE in China was 73.24 years in 2010, which was higher in women and urban residents compared with men and rural residents. The loss of LE caused by cerebrovascular disease mortality was 2.26 years, which was higher in men and rural residents compared with women and urban residents. More than 30% of the loss of LE were attributed to premature death from cerebrovascular disease in people aged 〈65 years. Compared with 2005, LE in 2010 increased by 0.92 years. The reduction of cerebrovascular disease mortality in urban residents contributed 0.45 years to the increase of LE, but the increase of cerebrovascular disease mortality caused a 0.12-year loss of LE in rural residents. Conclusion Cerebrovascular disease mortality had a major impact on LE in China, with a significant difference between urban and rural residents. LE is likely to be further increased by reducing cerebrovascular disease mortality, and special attention should be paid to reducing premature deaths in people aged 〈65 years.