The cardiovascular system at high altitude:A bibliometric and visualization analysis

BACKGROUND When exposed to high-altitude environments,the cardiovascular system undergoes various changes,the performance and mechanisms of which remain controversial.AIM To summarize the latest research advancements and hot research points in the cardiovascular system at high altitude by conducting a bibliometric and visualization analysis.METHODS The literature was systematically retrieved and filtered using the Web of Science Core Collection of Science Citation Index Expanded.A visualization analysis of the identified publications was conducted employing CiteSpace and VOSviewer.RESULTS A total of 1674 publications were included in the study,with an observed annual increase in the number of publications spanning from 1990 to 2022.The United States of America emerged as the predominant contributor,while Universidad Peruana Cayetano Heredia stood out as the institution with the highest publication output.Notably,Jean-Paul Richalet demonstrated the highest productivity among researchers focusing on the cardiovascular system at high altitude.Furthermore,Peter Bärtsch emerged as the author with the highest number of cited articles.Keyword analysis identified hypoxia,exercise,acclimatization,acute and chronic mountain sickness,pulmonary hypertension,metabolism,and echocardiography as the primary research hot research points and emerging directions in the study of the cardiovascular system at high altitude.CONCLUSION Over the past 32 years,research on the cardiovascular system in high-altitude regions has been steadily increasing.Future research in this field may focus on areas such as hypoxia adaptation,metabolism,and cardiopulmonary exercise.Strengthening interdisciplinary and multi-team collaborations will facilitate further exploration of the pathophysiological mechanisms underlying cardiovascular changes in high-altitude environments and provide a theoretical basis for standardized disease diagnosis and treatment.

Improving Prediction Efficiency of Machine Learning Models for Cardiovascular Disease in IoST-Based Systems through Hyperparameter Optimization

This study explores the impact of hyperparameter optimization on machine learning models for predicting cardiovascular disease using data from an IoST(Internet of Sensing Things)device.Ten distinct machine learning approaches were implemented and systematically evaluated before and after hyperparameter tuning.Significant improvements were observed across various models,with SVM and Neural Networks consistently showing enhanced performance metrics such as F1-Score,recall,and precision.The study underscores the critical role of tailored hyperparameter tuning in optimizing these models,revealing diverse outcomes among algorithms.Decision Trees and Random Forests exhibited stable performance throughout the evaluation.While enhancing accuracy,hyperparameter optimization also led to increased execution time.Visual representations and comprehensive results support the findings,confirming the hypothesis that optimizing parameters can effectively enhance predictive capabilities in cardiovascular disease.This research contributes to advancing the understanding and application of machine learning in healthcare,particularly in improving predictive accuracy for cardiovascular disease management and intervention strategies.

Combining GLP-1 receptor agonists and SGLT-2 inhibitors for cardiovascular disease prevention in type 2 diabetes:A systematic review with multiple network meta-regressions

BACKGROUND Glucagon-like peptide-1 receptor agonists(GLP-1RA)and sodium-glucose co-transporter-2 inhibitors(SGLT-2I)are associated with significant cardiovascular benefit in type 2 diabetes(T2D).However,GLP-1RA or SGLT-2I alone may not improve some cardiovascular outcomes in patients with prior cardiovascular co-morbidities.AIM To explore whether combining GLP-1RA and SGLT-2I can achieve additional benefit in preventing cardiovascular diseases in T2D.METHODS The systematic review was conducted according to PRISMA recommendations.The protocol was registered on PROSPERO(ID:42022385007).A total of 107049 participants from eligible cardiovascular outcomes trials of GLP-1RA and SGLT-2I were included in network meta-regressions to estimate cardiovascular benefit of the combination treatment.Effect modification of prior myocardial infarction(MI)and heart failure(HF)was also explored to provide clinical insight as to when the INTRODUCTION The macro-and micro-vascular benefits of glucagon-like peptide-1 receptor agonists(GLP-1RA)and sodium-glucose co-transporter-2 inhibitors(SGLT-2I)are independent of their glucose-lowering effects[1].In patients with type 2 diabetes(T2D),the major cardiovascular outcome trials(CVOT)showed that dipeptidyl peptidase-4 inhibitors(DPP-4I)did not improve cardiovascular outcomes[2],whereas cardiovascular benefit of GLP-1RA or SGLT-2I was significant[3,4].Further subgroup analyses indicated that the background cardiovascular risk should be considered when examining the cardiovascular outcomes of these newer glucose-lowering medications.For instance,prevention of major adverse cardiovascular events(MACE)was only seen in those patients with baseline atherosclerotic cardiovascular disease[3,4].Moreover,a series of CVOT conducted in patients with heart failure(HF)have demonstrated that(compared with placebo)SGLT-2I significantly reduced risk of hospitalization for HF or cardiovascular death,irrespective of their history of T2D[5-8].However,similar cardiovascular benefits were not observed in those with myocardial infarction(MI)[9,10].Cardiovascular co-morbidities are not only approximately twice as common but are also associated with dispropor-tionately worse cardiovascular outcomes in patients with T2D,compared to the general population[11].Therefore,it is of clinical importance to investigate whether the combination treatment of GLP-1RA and SGLT-2I could achieve greater cardiovascular benefit,particularly when considering patients with cardiovascular co-morbidities who may not gain sufficient cardiovascular protection from the monotherapies.This systematic review with multiple network meta-regressions was mainly aimed to explore whether combining GLP-1RA and SGLT-2I can provide additional cardiovascular benefit in T2D.Cardiovascular outcomes of these newer antidiabetic medications were also estimated under effect modification of prior cardiovascular diseases.This was to provide clinical insight as to when the combination treatment might be prioritized.

Sex and racial disparities in non-alcoholic fatty liver disease-related cardiovascular events: National inpatient sample analysis (2019)

BACKGROUND Non-alcoholic fatty liver disease(NAFLD)increases cardiovascular disease(CVD)risk irrespective of other risk factors.However,large-scale cardiovascular sex and race differences are poorly understood.AIM To investigate the relationship between NAFLD and major cardiovascular and cerebrovascular events(MACCE)in subgroups using a nationally representative United States inpatient sample.METHODS We examined National Inpatient Sample(2019)to identify adult hospitalizations with NAFLD by age,sex,and race using ICD-10-CM codes.Clinical and demographic characteristics,comorbidities,and MACCE-related mortality,acute myocardial infarction(AMI),cardiac arrest,and stroke were compared in NAFLD cohorts by sex and race.Multivariable regression analyses were adjusted for sociodemographic characteristics,hospitalization features,and comorbidities.RESULTS We examined 409130 hospitalizations[median 55(IQR 43-66)years]with NFALD.NAFLD was more common in females(1.2%),Hispanics(2%),and Native Americans(1.9%)than whites.Females often reported non-elective admissions,Medicare enrolment,the median age of 55(IQR 42-67),and poor income.Females had higher obesity and uncomplicated diabetes but lower hypertension,hyperlipidemia,and complicated diabetes than males.Hispanics had a median age of 48(IQR 37-60),were Medicaid enrollees,and had non-elective admissions.Hispanics had greater diabetes and obesity rates than whites but lower hypertension and hyperlipidemia.MACCE,all-cause mortality,AMI,cardiac arrest,and stroke were all greater in elderly individuals(P<0.001).MACCE,AMI,and cardiac arrest were more common in men(P<0.001).Native Americans(aOR 1.64)and Asian Pacific Islanders(aOR 1.18)had higher all-cause death risks than whites.CONCLUSION Increasing age and male sex link NAFLD with adverse MACCE outcomes;Native Americans and Asian Pacific Islanders face higher mortality,highlighting a need for tailored interventions and care.

Excess cardiovascular mortality in men with non-alcoholic fatty liver disease:A cause for concern!

Non-alcoholic fatty liver disease(NAFLD)has emerged as the commonest cause of chronic liver disease worldwide in recent years.With time,our understanding of NAFLD has evolved from an isolated liver condition to a systemic disease with significant manifestations beyond the liver.Amongst them,cardiovascular diseases(CVDs)are the most important and clinically relevant.Recent research supports a strong independent link between NALFD and CVD beyond the shared risk factors and pathophysiology.Female sex hormones are well known to not only protect against CVD in pre-menopausal females,but also contribute to improved adipose tissue function and preventing its systemic deposition.Recent research highlights the increased risk of major adverse cardiovascular-cerebral events(MACCE)amongst male with NAFLD compared to females.Further,racial variation was observed in MACCE outcomes in NAFLD,with excess mortality in the Native Americans and Asian Pacific Islanders compared to the other races.

The association of diet quality and physical activity with cardiovascular disease and mortality in 85,545 older Australians:A longitudinal study

Background:A quality diet and an active lifestyle are both important cornerstones of cardiovascular disease(CVD)prevention.However,despite their interlinked effects on metabolic health,the 2 behaviors are rarely considered jointly,particularly within the context of CVD prevention.We examined the independent,interactive,and joint associations of diet and physical activity with CVD hospitalization,CVD mortality,and all-cause mortality.Methods:CVD-free Australian participants aged 4574 years(n=85,545)reported physical activity,diet,sociodemographic,and lifestyle characteristics at baseline(20062009)and follow-up(20122015),and data were linked to hospitalization and death registries(03/31/2019 for CVD hospitalization and all-cause mortality and 12/08/2017 for CVD mortality).Diet quality was categorized as low,medium,and high based on meeting dietary recommendations.Physical activity was operationalized as(a)total moderate-to-vigorous physical activity(MVPA)as per guidelines,and(b)the composition of MVPA as the ratio of vigorous-intensity physical activity(VPA)to total MVPA.We used a left-truncated cause-specific Cox proportional hazards model using time-varying covariates.Results:During a median of 10.7 years of follow-up,6576 participants were admitted to the hospital for CVD and 6581 died from all causes(876 from CVD during 9.3 years).A high-quality diet was associated with a 17%lower risk of all-cause mortality than a low-quality diet,and the highest MVPA category(compared with the lowest)was associated with a 44%and 48%lower risk of CVD and all-cause mortality,respectively.Multiplicative interactions between diet and physical activity were non-significant.For all outcomes,the lowest risk combinations involved a high-quality diet and the highest MVPA categories.Accounting for total MVPA,some VPA was associated with further risk reduction of CVD hospitalization and all-cause mortality.Conclusion:For CVD prevention and longevity,one should adhere to both a healthy diet and an active lifestyle and incorporate some VPA when possible.

Report on Cardiovascular Health and Diseases in China 2023:An Updated Summary

Since 1990,China has made considerable progress in resolving the problem of“treatment difficulty”of cardiovascular diseases(CVD).The prevalent unhealthy lifestyle among Chinese residents has exposed a massive proportion of the population to CVD risk factors,and this situation is further worsened due to the accelerated aging population in China.CVD remains one of the greatest threats to the health of Chinese residents.In terms of the proportions of disease mortality among urban and rural residents in China,CVD has persistently ranked first.In 2021,CVD accounted for 48.98%and 47.35%of deaths in rural and urban areas,respectively.Two out of every five deaths can be attributed to CVD.To implement a national policy“focusing on the primary health institute and emphasizing prevention”and truly achieve a shift of CVD prevention and treatment from hospitals to communities,the National Center for Cardiovascular Diseases has organized experts from relevant fields across China to compile the“Report on Cardiovascular Health and Diseases in China”annually since 2005.The 2024 report is established based on representative,published,and high-quality big-data research results from cross-sectional and cohort population epidemiological surveys,randomized controlled clinical trials,large sample registry studies,and typical community prevention and treatment cases,along with data from some projects undertaken by the National Center for Cardiovascular Diseases.These firsthand data not only enrich the content of the current report but also provide a more timely and comprehensive reflection of the status of CVD prevention and treatment in China.

Age-specific differences in the association between prediabetes and cardiovascular diseases in China:A national cross-sectional study

BACKGROUND Cardiovascular disease(CVD)is a leading cause of morbidity and mortality worldwide,the global burden of which is rising.It is still unclear the extent to which prediabetes contributes to the risk of CVD in various age brackets among adults.To develop a focused screening plan and treatment for Chinese adults with prediabetes,it is crucial to identify variations in the connection between prediabetes and the risk of CVD based on age.AIM To examine the clinical features of prediabetes and identify risk factors for CVD in different age groups in China.METHODS The cross-sectional study involved a total of 46239 participants from June 2007 through May 2008.A thorough evaluation was conducted.Individuals with prediabetes were categorized into two groups based on age.Chinese atherosclerotic CVD risk prediction model was employed to evaluate the risk of developing CVD over 10 years.Random forest was established in both age groups.SHapley Additive exPlanation method prioritized the importance of features from the perspective of assessment contribution.RESULTS In total,6948 people were diagnosed with prediabetes in this study.In prediabetes,prevalences of CVD were 5(0.29%)in the younger group and 148(2.85%)in the older group.Overall,11.11%of the younger group and 29.59% of the older group were intermediate/high-risk of CVD for prediabetes without CVD based on the Prediction for ASCVD Risk in China equation in ten years.In the younger age group,the 10-year risk of CVD was found to be more closely linked to family history of CVD rather than lifestyle,whereas in the older age group,resident status was more closely linked.CONCLUSION The susceptibility to CVD is age-specific in newly diagnosed prediabetes.It is necessary to develop targeted approaches for the prevention and management of CVD in adults across various age brackets.

Tissue-source effect on mesenchymal stem cells as living biodrugs for heart failure:Systematic review and meta-analysis

BACKGROUND Mesenchymal stem cells(MSCs),as living biodrugs,have entered advanced phases of clinical assessment for cardiac function restoration in patients with myocardial infarction and heart failure.While MSCs are available from diverse tissue sources,bone-marrow-derived MSCs(BM-MSCs)remain the most wellstudied cell type,besides umbilical-cord-derived MSCs(UC-MSCs).The latter offers advantages,including noninvasive availability without ethical considerations.AIM To compare the safety and efficacy of BM-MSCs and UC-MSCs in terms of left ventricular ejection fraction(LVEF),6-min walking distance(6MWD),and major adverse cardiac events(MACEs).METHODS Five databases were systematically searched to identify randomized controlled trials(RCTs).Thirteen RCTs(693 patients)were included using predefined eligibility criteria.Weighted mean differences and odds ratio(OR)for the changes in the estimated treatment effects.RESULTS UC-MSCs significantly improved LVEF vs controls by 5.08%[95%confidence interval(CI):2.20%-7.95%]at 6 mo and 2.78%(95%CI:0.86%-4.70%)at 12 mo.However,no significant effect was observed for BM-MSCs vs controls.No significant changes were observed in the 6MWD with either of the two cell types.Also,no differences were observed for MACEs,except rehospitalization rates,which were lower only with BM-MSCs(odds ratio 0.48,95%CI:0.24-0.97)vs controls.CONCLUSION UC-MSCs significantly improved LVEF compared with BM-MSCs.Their advant-Safwan M et al.Tissue-source and MSCs as living biodrugs ageous characteristics position them as a promising alternative to MSC-based therapy.

Hyperparameter optimization for cardiovascular disease data-driven prognostic system

Prediction and diagnosis of cardiovascular diseases(CVDs)based,among other things,on medical examinations and patient symptoms are the biggest challenges in medicine.About 17.9 million people die from CVDs annually,accounting for 31%of all deaths worldwide.With a timely prognosis and thorough consideration of the patient’s medical history and lifestyle,it is possible to predict CVDs and take preventive measures to eliminate or control this life-threatening disease.In this study,we used various patient datasets from a major hospital in the United States as prognostic factors for CVD.The data was obtained by monitoring a total of 918 patients whose criteria for adults were 28-77 years old.In this study,we present a data mining modeling approach to analyze the performance,classification accuracy and number of clusters on Cardiovascular Disease Prognostic datasets in unsupervised machine learning(ML)using the Orange data mining software.Various techniques are then used to classify the model parameters,such as k-nearest neighbors,support vector machine,random forest,artificial neural network(ANN),naïve bayes,logistic regression,stochastic gradient descent(SGD),and AdaBoost.To determine the number of clusters,various unsupervised ML clustering methods were used,such as k-means,hierarchical,and density-based spatial clustering of applications with noise clustering.The results showed that the best model performance analysis and classification accuracy were SGD and ANN,both of which had a high score of 0.900 on Cardiovascular Disease Prognostic datasets.Based on the results of most clustering methods,such as k-means and hierarchical clustering,Cardiovascular Disease Prognostic datasets can be divided into two clusters.The prognostic accuracy of CVD depends on the accuracy of the proposed model in determining the diagnostic model.The more accurate the model,the better it can predict which patients are at risk for CVD.

Effect of Mindful Meditation, Physical Activity, and Diet to Reduce the Risk to Develop or Reduce Severity of Cardiovascular Diseases in Saudi Arabia: A Systematic Review

Background: Cardiovascular Disease (CVD) is one of the leading chronic diseases in Saudi Arabia (SA) that cause disability and death. CVD predisposition risk varies according to age, gender, education, socioeconomic factors, and place of residency. In addition, CVD risk factors include physical inactivity, sedentary lifestyle, saturated fatty acid high diet, smoking, and stress. Aim: This is a systematic review study that aims to determine the effect of mindful mediation, physical activity, and diet on CVD in SA. Materials and Methods: This is a systematic electronic search method in Google scholar, PubMed, and Medline. Papers collected are papers that have been published since 2015. The search uses the following keywords: (Cardiovascular disease OR physical activity OR Physical inactivity OR meditation OR diet) AND Saudi Arabia. Data were extracted from each study through a narrative summary of each study. Results: Forty papers collected from 2015 to 2022 were included in the narrative study. Physical activity, diet, and mindful meditation are among the factors that can reduce the risk of development of CVD or severity of disease in patients with a CVD. Conclusion: This systematic review emphasized risk factors like physical inactivity, poor diet, and low level of awareness among Saudis and CVD Saudi patients. The findings show the role of physical activity, mindful meditation, and diet in reducing the onset or severity of cardiovascular disease.

Progress of organoid platform in cardiovascular research

Cardiovascular disease is a significant cause of death in humans. Various models are necessary for the study ofcardiovascular diseases, but once cellular and animal models have some defects, such as insufficient fidelity. As anew technology, organoid has certain advantages and has been used in many applications in the study of cardiovasculardiseases. This article aims to summarize the application of organoid platforms in cardiovasculardiseases, including organoid construction schemes, modeling, and application of cardiovascular organoids. Advancesin cardiovascular organoid research have provided many models for different cardiovascular diseases in avariety of areas, including myocardium, blood vessels, and valves. Physiological and pathological models ofdifferent diseases, drug research models, and methods for evaluating and promoting the maturation of differentkinds of organ tissues are provided for various cardiovascular diseases, including cardiomyopathy, myocardialinfarction, and atherosclerosis. This article provides a comprehensive overview of the latest research progress incardiovascular organ tissues, including construction protocols for cardiovascular organoid tissues and theirevaluation system, different types of disease models, and applications of cardiovascular organoid models invarious studies. The problems and possible solutions in organoid development are summarized.

Occupational physical activity, all-cause, cardiovascular disease, and cancer mortality in 349,248 adults: Prospective and longitudinal analyses of the MJ Cohort

Background:Evidence on the health benefits of occupational physical activity(OPA)is inconclusive.We examined the associations of baseline OPA and OPA changes with all-cause,cardiovascular disease(CVD),and cancer mortality and survival times.Methods:This study included prospective and longitudinal data from the MJ Cohort,comprising adults over 18 years recruited in 1998-2016,349,248 adults(177,314 women)with baseline OPA,of whom 105,715(52,503 women)had 2 OPA measures at 6.3±4.2 years(mean±SD)apart.Exposures were baseline OPA,OPA changes,and baseline leisure-time physical activity.Results:Over a mean mortality follow-up of 16.2±5.5 years for men and 16.4±5.4 years for women,11,696 deaths(2033 of CVD and 4631 of cancer causes)in men and 8980 deaths(1475 of CVD and 3689 of cancer causes)in women occurred.Combined moderately heavy/heavy baseline OPA was beneficially associated with all-cause mortality in men(multivariable-adjusted hazard ratio(HR)=0.93,95%confidence interval(95%CI):0.89-0.98 compared to light OPA)and women(HR=0.86,95%CI:0.79-0.93).Over a mean mortality follow-up of 12.5±4.6 years for men and 12.6±4.6 years for women,OPA decreases in men were detrimentally associated(HR=1.16,95%CI:1.01-1.33)with all-cause mortality,while OPA increases in women were beneficially(HR=0.83,95%CI:0.70-0.97)associated with the same outcome.Baseline or changes in OPA showed no associations with CVD or cancer mortality.Conclusion:Higher baseline OPA was beneficially associated with all-cause mortality risk in both men and women.Our longitudinal OPA analyses partly confirmed the prospective findings,with some discordance between sex groups.

Cardiovascular computed tomography in cardiovascular disease:An overview of its applications from diagnosis to prediction

Cardiovascular computed tomography angiography(CTA)is a widely used imaging modality in the diagnosis of cardiovascular disease.Advancements in CT imaging technology have further advanced its applications from high diagnostic value to minimising radiation exposure to patients.In addition to the standard application of assessing vascular lumen changes,CTA-derived applications including 3D printed personalised models,3D visualisations such as virtual endoscopy,virtual reality,augmented reality and mixed reality,as well as CT-derived hemodynamic flow analysis and fractional flow reserve(FFRCT)greatly enhance the diagnostic performance of CTA in cardiovascular disease.The widespread application of artificial intelligence in medicine also significantly contributes to the clinical value of CTA in cardiovascular disease.Clinical value of CTA has extended from the initial diagnosis to identification of vulnerable lesions,and prediction of disease extent,hence improving patient care and management.In this review article,as an active researcher in cardiovascular imaging for more than 20 years,I will provide an overview of cardiovascular CTA in cardiovascular disease.It is expected that this review will provide readers with an update of CTA applications,from the initial lumen assessment to recent developments utilising latest novel imaging and visualisation technologies.It will serve as a useful resource for researchers and clinicians to judiciously use the cardiovascular CT in clinical practice.

Effects of loneliness and isolation on cardiovascular diseases:a two sample Mendelian Randomization Study

BACKGROUND Loneliness and isolation are associated with multiple cardiovascular diseases(CVDs),but there is a lack of research on whether they were causally linked.We conducted a Mendelian Randomization(MR)study to explore causal relationships between loneliness and isolation and multiple CVDs.METHODS Single nucleotide polymorphisms associated with loneliness and isolation were identified from a genome-wide association study(GWAS)of 455,364 individuals of European ancestry in the IEU GWAS database.Summary data for 15 CVDs were also obtained from the IEU GWAS database.We used three MR methods including inverse variance weighting,MR-Egger,and weighted median estimation to assess the causal effect of exposure on outcomes.Cochran's Q test and MR-Egger intercept test were used to evaluate the heterogeneity and pleiotropy.RESULTS MR analysis showed that loneliness and isolation were significantly associated with essential hypertension(OR=1.07,95%CI:1.03-1.12),atherosclerotic heart disease(OR=1.04;95%CI:1.02-1.06),myocardial infarction(OR=1.02;95%CI:1-1.04)and angina(OR=1.04;95%CI=1.02-1.06).No heterogeneity and pleiotropy effects were found in this study.CONCLUSIONS Causal relationship of loneliness and isolation with CVDs were found in this study.

Association between stress hyperglycemia ratio and in-hospital outcomes:findings from the improving Care for Cardiovascular Disease in China-Acute Coronary Syndrome(CCC-ACS)Project

BACKGROUND Stress hyperglycemia ratio(SHR)could provide accurate information on the acute status of hyperglycemia.The relationship between SHR and acute coronary syndrome(ACS)prognosis remains unclear.This study was conducted to identity the association between SHR and in-hospital outcomes in patients with ACS.METHODS A total of 12,010 patients were eventually enrolled in the study.The relationship between SHR and in-hospital major adverse cardiovascular events(MACEs)was then modeled by restricted cubic spline(RCS)curves,and all patients were divided into three groups according to the results.The multivariate logistic regression analysis was used to determine the associations between the SHR and in-hospital outcomes,described as odds ratios(ORs)and 95%confidence intervals(CIs).Subgroup analyses were also performed on different diseases.RESULTS The median age of this cohort was 63(54,71)years old,and 8942(74.5%)were male.Group 1 was defined as SHR<0.6(n=426),Group 2 was defined as SHR between 0.6 and 1(n=5821),and Group 3 was defined as SHR>1(n=5763).Compared with Group 2,Group 1(OR=1.891,95%CI:1.028-3.479,P<0.001)and Group 3(OR=1.868,95%CI:1.434-2.434,P<0.001)had higher risks of suffering from in-hospital MACEs.SHR was associated with higher risks of in-hospital MACEs in the subgroups of DM[OR=2.282,95%CI:1.477-3.524).CONCLUSIONS Both low and high SHR levels were independently associated with in-hospital MACEs.Young males with DM,hypertension,and decreased renal function had much higher risks of suffering from SHR-correlated MACEs.

Healthy life expectancy with cardiovascular disease among Chinese rural population based on the prospective cohort study

BACKGROUND Limited research has explored the impact of cardiovascular disease(CVD)on healthy life expectancy(HLE)especially in resource-limited areas.This study aimed to investigate the association between CVD and HLE in Chinese rural population.METHODS This study included 11,994 participants aged 45 years and older from the baseline and follow-up surveys of the Henan rural cohort study.Healthy status was measured via a Visual Analogue Scale.The multistate Markov model was applied to estimate the association between CVD and transitions in health,unhealthiness and death.Gender-specific total life expectancy,HLE and unhealthy life expectancy were calculated by the multistate life table method.RESULTS During a mean follow-up time of 3.85(3.84–3.86)years,there were 588 deaths recorded.For individuals with CVD,the risk of switching from health to unhealthiness status was increased by 71%[hazard ratio(HR)=1.71,95%CI:1.42–2.07],the chance of recovery was reduced by 30%(HR=0.70,95%CI:0.60–0.82).Men aged 45 years without CVD could gain an extra 7.08(4.15–10.01)years of HLE and lose 4.00(1.60–6.40)years of unhealthy life expectancy compared to their peers with CVD,respectively.The corresponding estimates among women were 8.62(5.55–11.68)years and 5.82(2.59–9.04)years,respectively.CONCLUSIONS This study indicated that CVD was significantly associated with poorer health status and lower HLE among Chinese rural population.It is an important public health policy to adopt targeted measures to reduce the CVD burden and enhance the quality of life and HLE in resource-limited areas.

Cardiovascular health awareness,risk perception,behavioural intention and INTERHEART risk stratification among middle-aged adults in Malaysia

Objective:To investigate the interrelationship between cardiovascular health awareness,risk perception,behavioural intention,and INTERHEART risk stratification in a middle-aged adult population in Malaysia.Methods:A cross-sectional survey with convenience sampling was conducted during November 2022 and January 2023.Participants completed validated questionnaires assessing cardiovascular health awareness,risk perception of cardiovascular diseases,behavioural intention towards adopting healthy habits,and INTERHEART risk stratification score(IHRS)based on established risk factors.A total of 602 respondents were included in the final analysis.Data were analysed with independent t-test/one-way ANOVA or Mann-Whitney/Kruskal-Wallis to test the differences,Pearson correlation or linear regression test to analyze the association of independent and dependent variables.Results:There was a significant positive correlation between medical knowledge related to cardiovascular disease(CVD)and knowledge related to CVD risk prevention,risk perception,behavioural intention and IHRS(P<0.05,Pearson correlation).Notably,individuals with higher IHRS tended to have lower knowledge related to CVD and CVD risk prevention,risk perception,and behavioural intention.Males,laborers,active/former smokers,individuals with lower household income and educational levels,those involved in occupations not related to the healthcare sector,and those who did not receive the CVD health brochure or are unaware of health self-assessment tools are likely to have lower levels of knowledge,risk perception,and poorer behavioural intention regarding cardiovascular health(P<0.05,one-way ANOVA).While educational level,smoking status,awareness about CVD poster,self-assessment tools were repeatedly significantly associated with knowledge related to CVD and CVD risk prevention,risk perception,behavioral intention and/or IHRS(P<0.05,linear regression).Conclusions:These findings underscore the importance of promoting cardiovascular health awareness and risk perception among middle-aged adults to foster positive BI and reduce CVD risk.Tailored interventions targeting specific risk factors identified by INTERHEART may enhance risk stratification accuracy and facilitate targeted preventive strategies.

Soluble ST2:A Novel Biomarker for Diagnosis and Prognosis of Cardiovascular Disease

The increasing incidence of cardiovascular disease(CVD)is a significant global health concern,affecting millions of individuals each year.Accurate diagnosis of acute CVD poses a formidable challenge,as misdiagnosis can significantly decrease patient survival rates.Traditional biomarkers have played a vital role in the diagnosis and prognosis of CVDs,but they can be influenced by various factors,such as age,sex,and renal function.Soluble ST2(sST2)is a novel biomarker that is closely associated with different CVDs.Its low reference change value makes it suitable for continuous measurement,unaffected by age,kidney function,and other confounding factors,facilitating risk stratification of CVDs.Furthermore,the combination of sST2 with other biomarkers can enhance diagnostic accuracy and prognostic value.This review aims to provide a comprehensive overview of sST2,focusing on its diagnostic and prognostic value as a myocardial marker for different types of CVDs and discussing the current limitations of sST2.

Cardiovascular risk burden,dementia risk and brain structural imaging markers:a study from UK Biobank

Background Cardiovascular risk burden is associated with dementia risk and neurodegeneration-related brain structure,while the role of genetics and incident cardiovascular disease(CVD)remains unclear.Aims To examine the association of overall cardiovascular risk burden with the risk of major dementia subtypes and volumes of related brain regions in a large sample,and to explore the role of genetics and CVD onset.Methods A prospective study among 354 654 participants free of CVD and dementia(2006-2010,mean age 56.4 years)was conducted within the UK Biobank,with brain magnetic resonance imaging(MRl)measurement availablefor 15104participants since 2014.CVD risk burden was evaluated by the Framingham General Cardiovascular Risk Score(FGCRS).Dementia diagnosis was ascertained from inpatient and death register data.Results Overamedian 12.0-yearfollow-up,3998 all-cause dementia cases were identified.Higher FGCRS was associated with increasedall-cause dementia risk after adjusting for demographic,major lifestyle,clinical factors and the polygenic risk score(PRS)of Alzheimer's disease.Comparing the high versus low tertile of FGCRS,the odds ratios(ORs)and 95%confidence intervals(Cls)were 1.26(1.12 to 1.41)for all-cause dementia,1.67(1.33 to 2.09)for Alzheimer's disease and 1.53(1.07 to 2.16)for vascular dementia(all p_(treng)<0.05).Incident stroke and coronary heart disease accounted for 14%(95%Cl:9% to 21%)of the association between FGCRS and all-cause dementia.Interactions were not detected for FGCRS and PRS on the risk of any dementia subtype.We observed an 83%(95%Cl:47%to 128%)higher all-cause dementia risk comparing the high-high versus low-low FGCRS-PRS category.For brain volumes,higher FGCRS was associated with greater log-transformed white matter hyperintensities,smaller cortical volume and smaller grey matter volume.Conclusions Our findings suggest that the positive association of cardiovascular risk burden with dementia risk also applies to major dementia subtypes.The association of cardiovascular risk burden with all-cause dementia is largely independent of CVD onset and genetic predisposition to dementia.