The economic burden of cardiovascular disease and hypertension in low- and middle-income countries: a systematic review

Calcium, magnesium, and vitamin D supplementations as complementary therapy for hypertensive patients: a systematic review and meta-analysis

BACKGROUND

Hypertension, the first global modifiable risk factor for cardiovascular disease (CVD) morbidity and mortality, is a consequential and remediable threat to the health of individuals and society. Therefore, we conducted this study to explore the role of calcium (Ca++), magnesium (Mg++), and vitamin D (Vit-D) supplementation as complementary therapies for hypertension, focusing on their effects on systolic blood pressure (SBP), diastolic blood pressure (DBP), and pulse rate.

METHODS

This systematic review and meta-analysis examined relevant 6509 articles in PubMed, Scopus, Web of Science, and Cochrane CENTRAL up to October 2024. The primary outcome was the difference in blood pressure measurements (systolic and diastolic) and the pulse rate. The extracted data were analyzed using Open Meta Analyst software.

RESULTS

This systematic review and meta-analysis included 40 studies; of them, 24 studies were analyzed. Ca++ was associated with a significant drop in the DBP (MD: -2.04, 95% CI [-3.39, -0.69], P = 0.01), but not in the SBP (P = 0.34) or pulse rate (P = 0.84). Mg++ significantly reduced DBP (MD: -1.64, 95% CI [-3.19, -0.09], P = 0.04), but had no significant effect on the SBP (P = 0.16) or pulse rate (P = 0.81). The estimated effect of Vit-D showed a significant reduction in SBP (MD: -2.83, 95% CI [-5.47, -0.199], P = 0.04) and DBP (MD: -1.64, 95% CI [-2.97, -0.3], P = 0.01).

CONCLUSION

Ca++ and Mg++ significantly reduced DBP but had no significant effect on SBP or the pulse rate. Whereas, vitamin D significantly reduced SBP and DBP.

Definition, prevalence, and economic impacts of hypertension on the elderly population

Arterial hypertension is the most important modifiable risk factor for cardiovascular disease and a leading cause of death. The incidence of hypertension increases with age, with a lifetime risk of more than 90% for elderly individuals. With the growth in the absolute numbers and proportion of the elderly population worldwide, the economic impact and burden on healthcare systems due to elderly hypertension continue to rise. However, inconsistencies in the definition of elderly hypertension in different guidelines and the controversial results of various clinical trials underscore the importance of determining the consensus of management for elderly hypertension. Therefore, to clarify the current situation, this article discusses the definition, prevalence, and economic impacts of elderly hypertension.

Trends in atherosclerotic heart disease-related mortality among U.S. adults aged 35 and older: A 22-year analysis

Background

Atherosclerotic heart disease (ASHD) remains a leading cause of mortality worldwide, especially among older adults. Understanding the long-term mortality trends in ASHD can guide public health strategies and address demographic disparities.

Methods

Mortality data for individuals aged 35 years and older were extracted from the CDC WONDER database. Age-adjusted mortality rates (AAMR) per 100,000 persons were calculated and stratified by year, gender, race, urbanization, and place of death. The trends were assessed using the annual percent change (APC) and average annual percent change (AAPC) with 95 % confidence intervals (CI) calculated through Joinpoint regression analysis.

Results

From 1999 to 2020, 7,638,608 ASHD-related deaths were recorded. The overall AAMR declined from 291.08 in 1999 to 170.07 in 2020, with an AAPC of -2.70 % (95 % CI: 2.96 to -2.54). However, an abrupt rise was observed from 2018 to 2020 (APC: 4.55; 95 % CI: 0.77 to 6.75). Males reported higher AAMR than females (Males: 271.9 vs. Females: 151.9). Non-Hispanic (NH) White individuals had the highest AAMR (209.38), followed by NH Black (202.47), NH American Indian (176.12), Hispanic (158.1), and NH Asian (113.7) populations. Nonmetropolitan areas reported the highest AAMR (214.77), while medium metropolitan areas reported the lowest (195.41). The majority of deaths occurred in medical facilities (42.81 %), followed by decedent's homes (25.67 %), and nursing homes (24.79 %).

Conclusion

Despite a long-term decline in ASHD-related mortality, the recent increase from 2018 to 2020 requires further study. Gender and racial disparities persist, highlighting the need for targeted public health efforts to reduce these inequities.

Cost Effectiveness of Colorectal Cancer Screening Strategies in Middle- and High-Income Countries: A Systematic Review

BACKGROUND AND AIM

Colorectal cancer (CRC) is a significant global health burden, and screening can greatly reduce CRC incidence and mortality. Previous studies investigated the economic effects of CRC screening. We performed a systematic review to provide the cost-effectiveness of CRC screening strategies across countries with different income levels.

METHODS

We searched relevant scientific databases (PubMed, Embase, Ovid, Web of Science, Scopus) from January 1, 2010, to December 31, 2023. We selected English-language studies related to model-based economic evaluations of CRC screening strategies. Information such as the characters of screening tests, model characteristics, and key cost-effectiveness findings were collected. The net monetary benefit approach was used to compare the outcomes of various strategies.

RESULTS

A total of 56 studies were identified, including 46 from high-income countries (HICs), 6 from upper-middle-income countries (UMICs), and 4 from lower-middle-income countries (LMICs). Most annual fecal occult blood tests and fecal immunochemical tests were cost-saving, and colonoscopy every 10 years was cost-saving. Other strategies involving multitarget fecal FIT-DNA detection, computed tomography colonography, and flexible sigmoidoscopy were cost-effective compared with no screening. Newer strategies such as magnetic resonance colonography every 5 years, annual urine metabolomic tests, and fecal bacterial biomarkers were cost-effective compared with no screening.

CONCLUSION

In our updated review, we found that common CRC screening strategies and magnetic resonance colonography continued to be cost-effective compared with no screening. Areas for further development include accurately modeling the natural history of colorectal cancer and obtaining more evidence from UMICs and LMICs.

Evaluation of reporting in time-driven activity-based costing studies on cardiovascular diseases: a scoping review

Aim: This scoping review evaluates the application of the time-driven activity-based costing (TDABC) methodology in cardiovascular disease (CVD) studies. Materials & methods: The evaluation was conducted using the 32-item TDABC Healthcare Consortium Consensus Statement Checklist. A systematic search was performed in Medline, Embase and Scopus in September 2023, including only full-text, peer-reviewed studies reporting the application of TDABC in CVD research. Results: Twenty studies were included in the review. The positive response rate for individual studies ranged from 31 to 81%. The most frequently addressed checklist item was the clear definition of study objectives, while presenting costs per patient included in the analysis was the least reported item. Although 70% of the studies achieved a positive response rate above 50%, adherence to the TDABC checklist remains inconsistent. Conclusion: There is significant room for improvement in the reporting of TDABC methodology in CVD studies. Providing a more comprehensive and standardized description of the methodology would enhance the utility, reproducibility and accuracy of the information generated, supporting the development of evidence-based health policies and improving accountability in healthcare cost assessments.

Mediating effect of illness perception between self-care ability and health-promoting behaviors among patients with stable coronary artery disease

BACKGROUND

The interaction between illness perception, self-care ability, and health-promoting behaviors (HPB) in stable coronary artery disease (SCAD) patients remains uncertain. We conducted a cross-sectional survey to explore the correlation between self-care ability, illness perception, and HPB among patients with SCAD, as well as the potential mediating role of illness perception between self-care ability and HPB.

METHODS

A cross-sectional study was carried out among 184 inpatients with SCAD in Hefei, China, from December 2022 to March 2023. The Self-Care of Coronary Heart Disease Inventory (SC-CHDI, containing three dimensions: self-care maintenance, self-care management, and self-care confidence), Revised Illness Perception Questionnaire (IPQ-R, containing seven dimensions: illness duration, illness consequence, personal control, treatment control, illness coherence, cyclical timeline, emotional distress), Health-Promoting Lifestyle Profile Ⅱ (HPLP-Ⅱ) were used in the questionnaires. SPSS 25.0 software and PROCESS version 4.2 plug-in was used to analyze the mediating effect.

RESULTS

HPB of SCAD patients was at moderate level. A range of factors including education level, marital status, self-care maintenance, self-care management, self-care confidence, illness coherence, and emotional distress are potential influencers of HPB. Illness coherence had a partially mediated effect between self-care maintenance and HPB (β = 0.063, 95% CI: 0.021~0.111), accounting for 20.59% of the total effect. Similarly, illness coherence had a partially mediated effect between self-care management and HPB (β = 0.055, 95% CI: 0.016~0.105), accounting for 13.78% of the total effect. However, none of the dimensions of illness perception mediated between self-care confidence and HPB. Self-care confidence directly influenced HPB, accounting for 92.40% of the total effect.

CONCLUSION

It is necessary for hospital healthcare workers, community workers, and patients' families to work together to focus on the self-care ability and positive illness perception of patients with cardiovascular disease, so as to increase patients' motivation to participate in HPB and improve their quality of life.

Expanding access to NCD services via community retail pharmacies in LMICs: a systematic review of the literature

Background

Non-communicable diseases (NCDs) pose a significant global health challenge. In LMICs, NCDs are an incresing driver of premature deaths and have substantial economic impacts, particularly on working-age adults. The World Health Organization has identified four priority NCDs - cardiovascular diseases, diabetes, asthma/chronic obstructive pulmonary disease, and cancer - which are included in its Package of Essential Non-Communicable Disease Interventions for low-resource primary care settings. However, a shortage of healthcare professionals further compounds the problem. Pharmacists, who could play a pivotal role in NCD care, remain underutilised.

Methods

We conducted a systematic literature review to identify studies on the role of community pharmacies and pharmacists in delivering NCD services in low- and middle-income settings and assessed their risk of bias. Searches were performed in PubMed, MEDLINE via Ovid, and CINAHL from 1990 to 2022, including English, French, or Spanish publications.

Results

Out of 1,284 articles, 23 met inclusion criteria, predominantly focusing on diabetes (65%), followed by cardiovascular diseases (22%), cancer (9%), and asthma (4%). Most studies were conducted in Asia (52%), followed by South America (22%) and Africa (13%). Significant improvements were observed in glycaemic control and medication adherence for diabetes, and in blood pressure management and adherence for hypertension. Positive outcomes were also seen in health behaviours for breast cancer, asthma, and cardiovascular disease risk management. Interventions were cost-effective for managing diabetes and hypertension in elderly patients. However, accessibility challenges were noted in vaccination programmes, and concerns about bias were identified, particularly in observational studies.

Conclusions

Expanding NCD services through community pharmacies in low and middle-income countries can significantly improve health outcomes. Pharmacists can enhance education, screening, and management for NCDs, leading to better disease control and patient satisfaction. Addressing resource constraints, legal barriers, and disease focus disparities is essential. Adequate training, financial incentives, and collaboration among stakeholders are crucial for integrating pharmacists into NCD care frameworks.

Global Epidemiology of Early-Onset Aortic Aneurysm: Temporal Trends, Risk Factors, and Future Burden Projections

BACKGROUND

Aortic aneurysm has a subtle onset, high rupture mortality, rapid progression in younger individuals, and increasing annual mortality rates. Our study aimed to estimate the global burden and trends of early-onset aortic aneurysm from 1990 to 2021.

METHODS

Participants aged 15-39 years from 204 countries and regions (Global Burdern of Disease, GBD) from 1990 to 2021.The primary assessment indicators include age-standardized death rates (ASDR), age-standardized disability-adjusted life years rates (ASDALYR), annual average percent change (AAPC), attributable risk factor proportions, slope index, concentration index, and predictive model for early-onset aortic aneurysm.

RESULTS

From 1990 to 2021, the ASDR for aortic aneurysm in adolescents and young adults increased from 0.12 (95% confidence interval [CI] 0.11, 0.14) to 0.13 (0.11, 0.14) per 100,000 population, with an AAPC of 0.08% (-0.08%, 0.25%). The ASDALYR rose from 7.25 (6.52, 8.30) to 7.35 (6.51, 8.37), with an AAPC of 0.07% (-0.09%, 0.23%). Both ASDR and ASDALYR are higher in males than females, with a declining trend in females. Higher Socio-Demographic Index (SDI) countries exhibit higher ASDR and ASDALYR compared to lower SDI countries, with a continuous decline observed in high SDI nations. Smoking remains the top risk factor, with population growth being the primary driver. Models predict a global increase in aortic aneurysm deaths, predominantly among males.

CONCLUSION

The overall burden of early-onset aortic aneurysms has exhibited an increasing trend over the last three decades, especially in lower SDI countries. There is an urgent need to develop targeted prevention and control strategies across different regions and countries worldwide.

The economic burden of ischaemic heart diseases on health systems: a systematic review

INTRODUCTION

There is a dearth of evidence regarding the global economic burden of ischaemic heart diseases (IHDs). This systematic review aims to synthesise national-level studies worldwide quantifying the economic burden of IHDs from a provider's perspective.

METHODS

We searched PubMed, Embase, Cochrane, DARE and EconLit databases from 1 January 2000 to 29 June 2022. We included observational, cost-of-illness and economic modelling studies reporting direct healthcare cost data for IHDs at the national level. At least two reviewers independently screened titles and abstracts and full texts, extracted data and assessed quality using a seven-question assessment tool. We synthesised findings by country, focusing on three key economic estimates: total annual costs of IHDs, costs of managing acute IHD episodes and chronic IHD care. We correlated these costs with country-specific macroeconomic measures and disease burden.

RESULTS

We included 65 national-level studies conducted in 21 countries worldwide, with a majority in high-income countries. The median direct healthcare cost per episode of IHDs was 8062 Int$ 2019 (IQR: 5770-9580), and the median direct healthcare cost of IHDs per patient-year was 10 064 Int$ 2019 (IQR: 7619-14 818). These estimates positively correlated with country-specific macroeconomic and DALY measures.

CONCLUSION

IHDs impose a substantial economic burden on health systems globally. Economic costs in countries exceed per capita public health expenditure, primarily driven by acute episodes. National-level data were available for only 21 countries, and none from low-middle-income and low-income countries. Economic costs of IHDs need to be quantified to inform resource allocation decisions at national and global levels.CRD42022337577.

Assessing the relationship between sex, gender, and hypertension: A federated analysis of European and Canadian Public Health Surveys

While gendered psycho-socio-cultural factors are recognized as major determinants of cardiovascular health, their contribution to our understanding of their effect on hypertension (HTN) in each country is poorly understood. Therefore, we investigated the role of these factors in HTN prevalence, focusing on sex- and gender-specific differences across countries. Data from the Canadian Community Health Survey (2015-2016, N = 109,659, women: 56.6%) and the European Health Interview Survey (2013-2015, N = 316,333, women: 51.3%) were analyzed. Primary endpoint was defined as HTN prevalence within 1-year. Relationship and interaction between sex, gender, and country with HTN prevalence were assessed using multivariate models. Federated analysis was conducted using DataShield. Prevalence of HTN was higher in Canada compared to Europe (30.1% vs 22.4%, P < .001). Amongst European countries, living in the Central-East region was associated with a greater risk of developing HTN. Women in the southern and central-east regions had higher prevalence of HTN. There was a significant interaction between socioeconomic status and sex in country-stratified analysis. This was more evident in central-east and southern countries compared to northern, western nations and Canada, where women with lower socioeconomic status, income, and education had a greater risk of developing HTN. Similar trends were observed regardless of country in women who were divorced or widowed. While immigrants were at higher risk of HTN, those in northern and southern Europe were at lower risk compared to central-east region. Sex- and gender-related factors and country should be considered in the prevention and control of HTN.

Deep Learning-Enhanced Chemiluminescence Vertical Flow Assay for High-Sensitivity Cardiac Troponin I Testing

Democratizing biomarker testing at the point-of-care requires innovations that match laboratory-grade sensitivity and precision in an accessible format. Here, high-sensitivity detection of cardiac troponin I (cTnI) is demonstrated through innovations in chemiluminescence-based sensing, imaging, and deep learning-driven analysis. This chemiluminescence vertical flow assay (CL-VFA) enables rapid, low-cost, and precise quantification of cTnI, a key cardiac protein for assessing heart muscle damage and myocardial infarction. The CL-VFA integrates a user-friendly chemiluminescent paper-based sensor, a polymerized enzyme-based conjugate, a portable high-performance CL reader, and a neural network-based cTnI concentration inference algorithm. The CL-VFA measures cTnI over a broad dynamic range covering six orders of magnitude and operates with 50 µL of serum per test, delivering results in 25 min. This system achieves a detection limit of 0.16 pg mL-1 with an average coefficient of variation under 15%, surpassing traditional benchtop analyzers in sensitivity by an order of magnitude. In blinded validation, the computational CL-VFA accurately measures cTnI concentrations in patient samples, demonstrating a robust correlation against a clinical-grade FDA-cleared analyzer. These results highlight the potential of CL-VFA as a robust diagnostic tool for accessible, rapid cardiac biomarker testing that meets the needs of diverse healthcare settings, from emergency care to underserved regions.

The natural polyphenol fisetin in atherosclerosis prevention: a mechanistic review

The incidence and mortality rate of atherosclerotic cardiovascular disease (ASCVD) is increasing yearly worldwide. Recently, a growing body of evidence has unveiled the anti-atherosclerotic properties of fisetin, a natural polyphenol compound. In this article, we reviewed the pharmacologic actions of fisetin on experimental atherosclerosis and its protective effects on disease-relevant cell types such as endothelial cells, macrophages, vascular smooth muscle cells, and platelets. Based on its profound cardiovascular actions, fisetin holds potential for clinical translation and could be developed as a potential therapeutic option for atherosclerosis and its related complications. Large-scale randomized clinical trials are warranted to ascertain the safety and efficacy of fisetin in patients with or high risk for ASCVD.

The Association Between Direct Health Costs Related to Non-communicable Diseases and Physical Activity in Elderly People

The aim of this study was to evaluate the association between direct health costs related to non-communicable diseases (NCDs) and the level of physical activity in Chinese elderly people. In this longitudinal study, 410 people over 64 years old were selected from health centers. The direct health costs caused by NCDs were recorded on a weekly basis for a period of six months. Also, physical activity was measured using FitBit Flex2™ and as the number of daily steps as well as calories burned during this six month. The multiple linear regression analysis was used to identify the predictors of direct health costs caused by NCDs as the dependent variable. Age, gender, marital status, education level, currently working, Fitbit steps and calories, and BMI were entered into the model as predictor variables to perform a stepwise regression analysis. Four variables of age, BMI, Fitbit steps and Fitbit calories were able to enter the regression model. The model explained 24.8% of the variability of direct health costs due to NCDs. The strongest predictor of health costs was Fitbit calories (B = - 2.113, t =  - 4.807, p < 0.001), followed by BMI (B = 1.267, t = 3.482, p < 0.001), Fitbit steps (B =  - 1.157, t =  - 3.118, p < 0.001), and age (B = 1.115, t = 2.599, p < 0.001). It can be said that having regular physical activity can reduce health costs due to NCDs in Chinese older people.

Long-term trends in the prevalence of cardiovascular-kidney-metabolic syndrome in South Korea, 2011-2021: a representative longitudinal serial study

Background

The American Heart Association recently introduced a new framework, known as cardiovascular-kidney-metabolic (CKM) syndrome, aimed at the early prevention of cardiovascular disease. However, this syndrome has not been studied extensively outside of the United States. Thus, this study aimed to examine the long-term trends in CKM syndrome and its associated demographic features in South Korea.

Methods

This nationwide, cross-sectional study analyzed data from 61,106 Korean adults aged ≥20 years using the Korea National Health and Nutrition Examination Survey from 2011 to 2021. CKM syndrome was defined using the PREVENT equations, categorizing individuals into five stages (0-4). Age-standardized prevalence rates, annual percent changes (APC), and sociodemographic disparities were analyzed using multinomial logistic regression and Joinpoint regression.

Findings

Among the 61,106 participants (50.4% females [95% CI, 50.0-50.8%] and 49.6% males [95% CI, 49.2-50.0%]), stage 2 CKM syndrome was the most prevalent (43.4% [42.9-43.9]), followed by stages 1 (25.4% [25.0-25.8]), 0 (21.1% [20.7-21.6]), 3 (7.3% [7.0-7.5]), and 4 (2.8% [2.6-2.9]). From 2011 to 2021, advanced stages showed significant increases (APC for stage 4: 3.2%; 95% CI, 1.5-5.2), while stage 0 declined (APC: -1.9%; 95% CI, -3.8 to 0.0). Advanced stages were more common among vulnerable subgroups, including males, older adults, rural residents, smokers, drinkers, individuals with obesity, lower education levels, and lower household incomes.

Interpretation

This is the first study to investigate the long-term prevalence of CKM syndrome based on stages at the national level in an Asian population. Our findings emphasize the urgent need for tailored public health strategies targeting metabolic risk factors, particularly in vulnerable subgroups, to prevent progression to advanced CKM stages.

Funding

National Research Foundation of Korea.

Cardiovascular disease essential medicines listing by countries: changes over time and association with health outcomes

BACKGROUND

Since national essential medicine lists guide the procurement of medicines for populations in many countries, and cardiovascular diseases are the leading cause of death globally, including cardiovascular medicines on these lists can significantly impact healthcare outcomes.

METHODS

In this cross-sectional study, national essential medicines' lists from 158 countries were analysed on whether or not they included medicines to treat ischemic heart disease, cerebrovascular disease, and hypertensive heart disease. A linear regression model was used to evaluate the association between countries' coverage scores and amenable mortality.

RESULTS

Listing of cardiovascular disease treatment was associated with amenable mortality from hypertensive heart disease. Health expenditure per capita was also associated with amendable mortality due to ischemic heart disease, and hypertensive heart disease.

CONCLUSIONS

Listing essential medicines for cardiovascular disease is an important aspect of healthcare quality that is associated with cardiovascular mortality.

The longitudinal association between multiple cardiometabolic diseases, socioeconomic status, and depressive symptoms in China

The aim of this study is to investigate the effect of cardiometabolic diseases (CMDs) on the development of depressive symptoms and to determine whether socioeconomic status (SES) moderates this effect. A total of 6,455 individual free from depressive symptoms were selected from the China Health and Retirement Longitudinal Study (CHARLS). CMDs and SES were self-reported. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale (CESD-10). Cox proportional hazards regression models were employed to examine the association between baseline CMDs and subsequent depressive symptoms. Stratified analysis were conducted to explore the moderating effect of SES on this association.Participants with any CMDs exhibited a higher risk of developing depressive symptoms compared to those without CMDs, with a hazard ratio (HR) of 1.10 (95% CI: 1.01, 1.20). Individuals with one CMD (HR = 1.08, 95% CI: 1.00, 1.20) or cardiometabolic multimorbidity (HR = 1.13, 95% CI: 1.02, 1.26) also demonstrated an increased risk. The effect of CMDs on depressive symptoms was observed primarily in adults aged 60 years and older with lower education attainment (HR = 1.28, 95%CI: 1.12, 1.46), lower income (HR = 1.29, 95%CI: 1.11, 1.50) and rural residency (HR = 1.29, 95%CI: 1.12,1.51). These findings emphasize the importance of closely monitoring the mental status of patients with CMDs and considering routine screening and evaluation for depressive symptoms, especially in individuals with low SES.

Global comparison of the economic costs of coronary heart disease: a systematic review and meta-analysis

OBJECTIVES

Coronary heart disease (CHD) is the leading cause of global morbidity and mortality, yet no comprehensive evaluation of its global economic costs exists. We conducted a systematic review with meta-analysis to examine the costs of CHD treatment by region and CHD subtypes, examine whether there are cost difference by sex, and examine costing methodologies.

DESIGN

We conducted a systematic review and meta-analysis of non-randomised studies.

DATA SOURCES

We searched Medline, Embase, CINAHL, EconLit and Google Scholar from 1 January 2000 to February 2023.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

We included observational studies reporting economic costs of CHD treatment and outcomes for adults that were published in English.

DATA EXTRACTION AND SYNTHESIS

Data extraction and quality assessment were independently undertaken by two reviewers. Costs were converted to percentage of gross domestic product (GDP) per capita of corresponding country. A random-effects model was used for meta-analysis using StataSE V.18 to calculate the pooled percentage. Heterogeneity was assessed using the I2 statistic. Meta-regression and bias assessment were performed.

RESULTS

Out of 20 100 records identified, 37 studies (including 2 564 189 individuals) from 22 countries were included in the qualitative synthesis and the quantitative meta-analysis. In most countries, the annual cost of CHD exceeds many times the total health expenditure per capita. The pooled direct annual cost of CHD per patient varied from 4.9% to 137.8% of GDP per capita (Int$ purchasing power parity), with pooled percentage of 21.7% (95% CI 15.3, 28.1) for those with CHD. Slight difference in the annual pooled cost of CHD was observed, with a 2% of GDP per capita higher cost in men (95% CI 0.8, 3.2). Most studies applied a top-down costing approach (n=21).

CONCLUSIONS

The review illustrates the expense associated with CHD, which is varied by region and CHD subtypes. The observed cost difference by sex warrants further exploration of sex-specific factors influencing cost disparities. Exploring advanced costing methods such as time-driven activity-based costing can optimise resource allocation and identify opportunities to reduce unnecessary costs and cost disparities.

PROSPERO REGISTRATION NUMBER

CRD42023412044.

Effect of exercise on kidney-relevant biomarkers in the general population: a systematic review and meta-analysis

OBJECTIVE

Physical activity (PA) has been generally recognised as beneficial for health. The effect of a change in PA on kidney biomarkers in healthy individuals without kidney disease remains unclear. This manuscript synthesised the evidence of the association of changes in PA with kidney biomarkers in the general population free from kidney disease.

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

Embase, PubMed, MEDLINE and Web of Science databases were searched from inception to 12 March 2023.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

Studies of longitudinal or interventional design were selected initially. The following studies were excluded: (1) case-control studies, (2) studies where PA was measured at a single time point, (3) populations with known kidney disease, (4) studies evaluating the impact of a single episode/event of PA and (5) non-English language studies.

DATA EXTRACTION AND SYNTHESIS

Two independent reviewers extracted data from a pre-designed table and assessed the risk of bias using the Cochrane Risk of Bias tool. Data were pooled using a random-effects model. Hedge's g was used to synthesise effect sizes and obtain an overall estimate. Heterogeneity between studies was measured using I2. Funnel plots and Egger's test were performed to evaluate the risk of biased results.

RESULTS

16 interventional studies with randomised or non-randomised designs involving 500 participants were identified. The median follow-up was 84 days. 10 studies were at high risk of bias. Studies with low quality were published prior to the year 2000. Changes in PA were found only to have a positive association with serum creatinine (SCr) (Hedge's g=0.69; 95% CI 0.13, 1.24; I2=81.37%) and not with plasma renin activity (PRA), urea, or urine albumin-to-creatinine ratio (UACR). The positive association was only observed in people with obesity and those who exercised for more than 84 days.

CONCLUSIONS

Higher levels of PA are associated with increased SCr levels in healthy people. It remains unclear if this association is related to impaired kidney function or gain in muscle mass, as data on other kidney biomarkers did not support a certain link.

PROSPERO REGISTRATION NUMBER

This review has been registered on PROSPERO (CRD42023407820).

Evaluation of health-related quality of life changes in an Australian rapid access chest pain clinic

OBJECTIVE

To evaluate the impact of absolute cardiovascular risk counselling on quality-of-life indices within a chest pain clinic.

DATA SOURCES AND STUDY SETTING

Primary data was collected at the Royal Hobart Hospital, Australia, between 2014 and 2020.

STUDY DESIGN

Patients attending an Australian chest pain clinic were randomised into a prospective, open-label, blinded-endpoint study over a minimum 12-months follow-up.

DATA COLLECTION / EXTRACTION METHODS

The SF-36 questionnaire was completed at baseline/follow-up and SF-6D multi-attribute utility instrument's health state utilities (HSU) were generated using SF-36 responses and the SF-6D's Australian tariff. SF-6D minimal important difference was 0.04 points. Absolute cardiovascular risk was also stratified into high/intermediate/low-risk categories for exploratory analysis of summary HSUs and dimensional scores. ANZCTR registration number 12617000615381 (registered 28/4/17).

PRINCIPAL FINDINGS

Of n = 189 patients enrolled, HSUs were generated for 96% at baseline (intervention n = 93, usual care n = 88) and 61% at follow-up. There were no statistical differences in age, sex, absolute cardiovascular risk or mean HSU between groups at baseline. Summary HSUs improved more for the intervention group and the median between-group difference exceeded the minimal important difference threshold (intervention 0.16 utility points, control 0.10 utility points). For Intervention patients with high absolute risk (≥ 15%), HSU did not significantly change.

CONCLUSIONS

Absolute cardiovascular risk counselling in a chest pain clinic yielded clinically meaningful improvement in health-related quality of life.

Development of a CVD mortality risk score using nutritional predictors: A risk prediction model in the Golestan Cohort Study

BACKGROUND AND AIM

We aimed to develop a dietary score using prediction model method for evaluating the risk of cardiovascular disease (CVD) mortality and suggesting a simple and practical scoring system within the healthcare context.

METHOD AND RESULTS

A total of 43878 adult participants (aged 37-80 years) from the Golestan Cohort Study (GCS) were included in analysis. A random split of the subjects into the derivation (n = 28930) and the validation sets (n = 14948) was done. The Cox proportional hazard model was used to develop prediction model for the 8-year risk of CVD mortality. The model's discrimination and calibration were assessed by C-statistic and calibration plot, respectively. To enhance clinical utility, we devised a point-based scoring system derived from our model. This prediction model was developed by nine predictors including age, physical activity level (MET minutes/week), waist-to-hip ratio, tea intake (cup/day), vegetable intake (gr/1000 kcal/day), white meat intake (gr/1000 kcal/day), salt intake (gr/1000 kcal/day), dairy intake (Cup/1000 kcal/day), and percentage of protein intake. The model had an acceptable discrimination in both derivation (C-statistic: 0.76, p < 0.001) and validation (C- statistic: 0.77, p < 0.001) samples. Also, the calibration of model in both derivation and validation datasets was 0.81.

CONCLUSION

This is the first attempt to develop a risk prediction model of CVD mortality and the risk scoring system by the majority of nutritional predictors in a large cohort study. This nutritional risk assessment tool is suitable for motivating at-risk individuals to make lifestyle and dietary pattern changes to reduce future risk to prevent health problems.

Social and economic impacts of non-communicable diseases by gender and its correlates: a literature review

BACKGROUND

Tackling social impacts derived from gender disparities is a pathway to universal health coverage (UHC). Gender intersects with other factors behind social and health inequalities, exacerbates them and influences health systems' performance. However, there is scarcity of gender-based studies that assess the social and economic impacts of non-communicable diseases (NCDs). This study aims to identify economic and social impacts of NCDs by gender and its correlates.

METHODS

Following the guidelines proposed in the Cochrane Manual for Systematic Reviews of Interventions and the PRISMA Statement, we conducted a narrative and structured literature review to identify the economic (direct medical and non-medical, and indirect costs) and social (right to health, employment, poverty, social exclusion, and others) impacts of NCDs by gender, and its structural, sociodemographic, health conditions, political and health systems correlates, for the period 2002-2022, in English and Spanish. Reviewed studies were described according to country and research context, temporal evolution, gender, impacts of NCDs and correlates.

FINDINGS

Five thousand five hundred fifty-one publications by title and abstract were reviewed, and 185 articles were selected. There is limited evidence with gender perspective addressing the social and economic impacts of NCDs (around 10% of publications) that helps to better understand the difference in the burden of these conditions between men and women. We identified that the social burden primarily affects women in their quality of life, where gender inequities are observed in aspects such as: health care, employment status and living conditions. In addition, a greater responsibility falls on them as caregivers. On the other hand, the economic burden affects more to men, both in terms of direct medical costs and indirect costs. Among the factors that most influenced the identified impacts, we found gender, age, and socioeconomic level. We also identified that access to health insurance that offers financial protection against these conditions is essential to reduce these impacts.

CONCLUSIONS

NCDs pose a significant social and economic burden due to their impact on the health of the population, healthcare systems, and the economies of households and nations, which will likely increase over time. This impact is closely related to gender, although it has been scarcely documented. Public policies aimed at enhancing access and achieving UHC are essential to guarantee effective financial protection in health, especially for the most vulnerable sectors of the population.

Effectiveness of an online food shopping intervention to reduce salt purchases among individuals with hypertension - findings of the SaltSwitch Online Grocery Shopping (OGS) randomised trial

BACKGROUND

Online grocery shopping is a growing source of food purchases in many countries. We investigated the effect of nudging consumers towards purchases of lower sodium products using a web browser extension.

METHODS

This trial was conducted among individuals with hypertension who shopped for their groceries online in Australia. From July 2021 to June 2023, participants were randomised to use the SaltSwitch Online Grocery Shopping web browser extension or continue their usual grocery shopping for 12 weeks. The SaltSwitch extension modified a retailer's online shopping interface to suggest similar but lower sodium alternative products to those initially selected. The primary outcome was the difference in mean sodium density (mg sodium per 1000 kcal of energy) of packaged food purchases between the intervention and control groups.

RESULTS

We randomised 185 participants of average age 56.0 (SD 11.0) years. Most were women (64%), White (89%), had BMI > 25 kg/m2 (91%), and were taking anti-hypertensive medication (83%). Demographic and medical characteristics were similar across the randomised groups. 182 (98%) completed the trial. Over the 12-week intervention, the sodium density of groceries purchased by the intervention group compared to the control group was 204 mg/1000 kcal lower (95%CI, -352 to -56) (P = 0.01). The reduction in sodium density of purchases was apparent in weeks 1-4 and sustained through the end of the trial. 86% of participants in the intervention group made at least one switch to a lower sodium product. There were no detectable effects on blood pressure, spot urine sodium concentration, or other secondary outcomes across the 12-week study period.

CONCLUSIONS

Online shopping platforms provide a novel opportunity to support purchases of lower sodium foods. While the reductions in sodium density of purchases were moderate in size, population health benefits could nonetheless be large if they were sustained over time and at scale, with large and growing numbers of online grocery shoppers and a high prevalence of elevated blood pressure amongst adults.

TRIAL REGISTRATION

ACTRN12621000642886.

Hypertension: A Continuing Public Healthcare Issue

Hypertension is a cardiovascular disease defined by an elevated systemic blood pressure. This devastating disease afflicts 30-40% of the adult population worldwide. The disease burden for hypertension is great, and it greatly increases the risk of cardiovascular morbidity and mortality. Unfortunately, there are a myriad of factors that result in an elevated blood pressure. These include genetic factors, a sedentary lifestyle, obesity, salt intake, aging, and stress. Although lifestyle modifications have had limited success, anti-hypertensive drugs have been moderately effective in lowering blood pressure. New approaches to control and treat hypertension include digital health tools and compounds that activate the angiotensin receptor type 2 (AT2), which can promote cardiovascular health. Nonetheless, research on hypertension and its management is vital for lessening the significant health and economic burden of this condition.

Zinc-alpha2-glycoprotein modulates blood pressure by regulating renal lipid metabolism reprogramming-mediated urinary Na+ excretion in hypertension

AIMS

Organs modulating blood pressure are associated with a common cytokine known as adipokines. We chose Zinc-alpha2-glycoprotein (ZAG) due to its prioritized transcriptional level in the database. Previous studies showed that ZAG is involved in metabolic disorders. The aim of this study was to investigate its role in hypertension.

METHODS AND RESULTS

Serum ZAG levels were assessed in hypertensive and healthy participants. Blood pressure was monitored in Azgp1-/- mice and other animal models by 24-hour ambulatory implanted telemetric transmitters and tail-cuff method. Multi-omics analysis of proteomics and metabolomics were performed to explore possible mechanisms. Serum ZAG levels were significantly decreased and associated with morning urine Na+ excretion in hypertensive participants in a cross-sectional study. This study firstly reported that Azgp1-/- mice exhibited increased blood pressure and impaired urinary Na+ excretion, which were restored by AAV9-mediated renal tubule Azgp1 rescue. Azgp1 knockout caused the reprogramming of renal lipid metabolism, and increased Na+/H+-exchanger (NHE) activity in the renal cortex. Administration with a NHE inhibitor EIPA reversed the impaired urinary Na+ excretion in Azgp1-/- mice. Moreover, the activity of carnitine palmitoyltransferase 1 (CPT1), a key enzyme of fatty acid β-oxidation, was decreased, and the levels of malonyl-CoA, an inhibitor of CPT1, were increased in renal cortex of Azgp1-/- mice. Renal Cpt1 rescue improved urinary Na+ excretion and blood pressure in Azgp1-/- mice, accompanied by decreased renal fatty acid levels and NHE activity. Finally, administration of recombinant ZAG protein improved blood pressure and urinary Na+ excretion in spontaneous hypertension rats.

CONCLUSION

Deficiency of Azgp1 increased the malonyl CoA-mediated inhibition of CPT1 activity, leading to renal lipid metabolism reprogramming, resulting in accumulated fatty acids and increased NHE activity, subsequently decreasing urinary Na+ excretion and causing hypertension. These findings may provide a potential kidney-targeted therapy in the prevention and treatment of hypertension.

The Western and Chinese exercise training for blood pressure reduction among hypertensive patients: An overview of systematic reviews

Hypertension remains the world's leading cause of premature death. Interventions such as exercise, diet modification, and pharmacological therapy remain the mainstay of hypertension treatment. Numerous systematic reviews and meta-analyses demonstrated the effectiveness of western exercises, such as aerobic exercise and resistance exercise, in reducing blood pressure in hypertensive patients. There is recently emerging evidence of blood pressure reduction with Chinese exercises, such as Tai Chi, Baduanjin, and Qigong. The current overview of systematic reviews aims to evaluate the quality and descriptively summarize the evidence for the effectiveness of western and Chinese exercises for hypertension management. Thirty-nine systematic reviews were included in this overview, with 15 of those being on Chinese exercise. Evidence suggests that exercise training, regardless of Western or Chinese exercise, generally reduced both systolic and diastolic blood pressure. High-intensity intermittent training did not further reduce blood pressure when compared to moderate-intensity continuous training. Conflicting results on the effectiveness of blood pressure reduction when comparing Chinese and Western exercise training were observed. This suggests the comparable effectiveness of Chinese exercise training, in particularly Tai Chi, to general or aerobic exercise training in terms of blood pressure reduction. The Chinese exercise modality and intensity may be more suitable for the middle-aged and elderly population.

Global Health Inequities in Electrophysiology Care: A State-of-the-Art Review

This state-of-the-art review examines disparities in the diagnosis, management, and outcomes of cardiac arrhythmias globally. These arrhythmias include atrial fibrillation, ventricular tachyarrhythmias underlying sudden cardiac death, and bradyarrhythmias associated with sinus node and atrioventricular node disease. Arrhythmias in low- and middle-income countries often result in higher mortality rates due to complex and poorly documented risk factors, lack of clinical expertise among health care personnel, lack of sufficient infrastructure, and challenges in access to care. Innovative approaches like repurposing pacemakers, mobile clinics, use of digital technology, and training initiatives are being explored to address these issues. This article highlights the importance of diagnosis of arrhythmias in varying resource settings, access to care in those settings, and ongoing efforts to expand access to care.

Effects of the discharge plan on the caregiving load of people with chronic disease: Quasi-experimental study

OBJECTIVE

To determine the effect of an anticipated care plan, structured around hospital discharge (PC-AH-US), regarding the caregiving load of people with NTCD residing in Colombia, 2019-2021.

METHOD

This is a quasi-experimental study with pre- and post-intervention measurements. It includes 1170 participants who represented 585 chronic disease patient-caregiver pairs. We compared the PC-AH-US intervention, to the regular intervention.

RESULTS

The PC-AH-US intervention group showed better results in all dimensions when compared to the regular intervention group: Awareness 8.7 (SD: 0.7) and 6.8 (SD: 1.7); Acknowledgement of their unique conditions 11.3 (SD: 1.0) and 9.4 (SD: 1.8); Capacity to fulfill care tasks 8.8 (SD: 0.7) and 7.5 (SD: 1.5); Wellbeing 11.4 (SD: 0.90) and 8.87 (SD: 2.3); Anticipation 5.88 (SD: 0.4) and 4.7 (SD: 1.1) and Support Network 11.4 (SD: 0.8) and 9.9 (SD: 2.5).

CONCLUSION

The PC-AH-US intervention group showed a statistically significant decrease in the caregiving load for people with NTCD (p < 00). There were no significant institutional differences in readmissions or deaths. The PC-AH-US intervention backs institutional policies meant to care for people with NTCD.

Trends in Cardiovascular Diseases and Costs Among Type 2 Diabetes Mellitus (T2DM) Patients in Malaysia: A Cohort Study of 240,611 Public Hospital Inpatients

BACKGROUND

Identifying trends of hospital admissions and costs for cardiovascular disease events (CVDEs) is crucial for public health intervention and the economic burden for future clinical improvements and better outcomes. This study aims to define the admission trends and cost of CVDE among type 2 diabetes mellitus (T2DM) patients in Malaysia between 2014 and 2020.  Methodology: An ecological study was conducted using hospital admission data taken from the Casemix database in public hospitals in Malaysia. Hospital admission data for CVDE among T2DM patients were extracted for the period between 2014 and 2020. The cost data were retrieved from the Malaysian Disease Related Group (MalaysianDRG) costing section, and the median and total costs were calculated per CVDE per year. Descriptive statistical analysis and multiple logistic regression models were used to analyze trends and factors associated.

RESULTS

A total of 240,611 T2DM admissions, representing 35.1% of 684,809 CVDE admissions, were included in this study. Among these, 32.9% were treated for myocardial infarction (MI), 20.1% for cerebrovascular accident (CVA), 19.4% for heart failure, 12.8% for ischemic heart disease (IHD), 8.2% for hypertensive heart disease (HHD), 5.6% for cardiomyopathy, and 1.0% for atherosclerosis and peripheral vascular disease (PVD). CVDE admissions were prevalent among males (59.2%) and associated with higher cost of admission (β = 1.13, P < 0.001), patients aged 40-49 years old had 24% high odd for high cost (β = 1.24, P < 0.001) compared to those aged 19-29 years. Compared to Malay, Chinese and other ethnicities were significantly associated with high cost (β = 1.13, P < 0.001). Patients with severity level III were 10 times more likely to have higher costs as compared to severity level I (β = 10.39, P < 0.001), 72.6% were admitted in less than five days, and 23.1% were less likely to incur high cost as compared to patients admitted more than five days (β = 0.769, P < 0.001). The trend of admissions is increasing each year, with the median total hospital expenditure higher in IHD patients with T2DM, which increased by 55.5% from 2014 to 2020 (from RM 4,187.98 to RM 6,510.43). This was followed by MI, which saw an 8% increase (from RM 3,881.80 to RM 4,211.18).

CONCLUSIONS

The findings of this research indicated cardiovascular disease (CVD) admission trends and costs increased substantially over the years and higher costs in dual noncommunicable diseases (NCDs). These findings underscore the urgent need for enhanced preventive strategies targeting high-risk populations, such as males, individuals with severe disease levels, and specific ethnic groups. Policies should emphasize lifestyle modification programs, early diagnosis of cardiovascular risks among T2DM patients, and cost-effective treatments to mitigate the growing financial burden. Furthermore, resource allocation must be adjusted to address the increasing demand for care, particularly for conditions like IHD and MI, ensuring equitable access to quality care while containing healthcare costs.

Associations Among Reduced Income, Unhealthy Habits, the Prevalence of Non-Communicable Diseases, and Multimorbidity in Middle-Aged and Older US Adults: A Cross-Sectional Study

INTRODUCTION

Evidence supports the relationships between socioeconomic status and access to health care, incidence of pathologies, and lifestyle.

OBJECTIVE

The aim of this research was to investigate whether there are associations between having a household income below the poverty line, and participation in unhealthy lifestyle habits, the prevalence of non-communicable diseases, and the number of comorbidities in US middle-aged and older adults.

METHODS

This cross-sectional study is based on the NHANES 2011-2020. A total of 10,788 US middle-aged and older adults (5653 males and 5135 females) participated in this research. Associations were studied through the Chi-squared test, and odds ratios were calculated using a binary logistic regression model.

RESULTS

There were associations between a household income below the poverty line and physical inactivity, unhealthy diet, and being or having been an alcoholic. Associations were found between this adverse economic situation and having hypertension, diabetes, liver disease, kidney problems, arthritis, congestive heart failure, angina pectoris, heart attack, stroke, and also with having two or more, three or more, four or more, and five or more comorbidities. Increased odds of being involved in these unhealthy habits and of suffering these diseases and multimorbidity were found for those with a family income below the poverty threshold.

CONCLUSIONS

The existence of associations between having a family income under the poverty threshold and having unhealthy habits, suffering non-communicable diseases, and having multimorbidity is confirmed in US middle-aged and older adults. Increased odds for various non-communicable diseases, multimorbidity, and for being involved in these unhealthy habits were found for this low-income group. These findings should serve to draw the attention of policy makers to the increased health vulnerability of the adult population below the poverty line in the US.

The comparison of the prevalence, awareness, treatment and control of hypertension among adults along the three provinces of the Lancang-Mekong River countries-China, Laos and Cambodia

BACKGROUND

Under the background of similar geography and culture in Lancang-Mekong countries and rapid changes in the regional economy and lifestyle, this study aimed to describe and compare the prevalence, awareness, treatment, and control of hypertension and assess the hypertension care cascade in three provinces of China, Laos, and Cambodia.

METHODS

A cross-sectional study was conducted between 2021 and 2023 in the three provinces of Lancang-Mekong River countries using consistent investigative procedures. We included 11,005 participants aged ≥ 18 years from three provinces, and data were collected through questionnaires, physical examinations, and biochemical tests. We analyzed the cascade of hypertension care and compared the prevalence, awareness, treatment, and control of hypertension.

RESULTS

The hypertension care cascade indicated that 46.3%, 51.6%, and 63.1% of patients in Yunnan Province (China), Oudomxay Province (Laos), and Ratanakiri Province (Cambodia), respectively, were not diagnosed, and 10.7%, 12.8% and 21.1% of patients, respectively, did not receive treatment. After sex-age standardization, the prevalence rates of hypertension in the three provinces were 33.4%, 34.5%, and 23.6%, respectively. Higher awareness rate in Yunnan Province (53.4%) and Oudomxay Province (46.5%) than in Ratanakiri Province of Cambodia (39.7%). The treatment rate of hypertension in Yunnan Province (42.4%) was higher than that in Oudomxay Province (34.5%), and Ratanakiri Province (16.9%). In addition, less than 20% of the patients in the three provinces had their blood pressure under control. The factors associated with hypertension differed across the three provinces.

CONCLUSIONS

In the three provinces of the Lancang-Mekong River Basin countries, there is a high burden of hypertension and a significant unmet need for hypertension care. Targeted and precise intervention strategies are urgently needed to improve the awareness, treatment, and control of hypertension in low- and middle-income regions.

Prevention and control of cardiovascular disease in "real-world" settings: sustainable implementation of effective policies

Global progress in addressing cardiovascular diseases (CVD) has been insufficient to attain the nine WHO non-communicable disease (NCD) targets and the Sustainable Development Goal (SDG) target of reducing premature NCD mortality by one-third by 2030. Progress has been slowest in low- and middle-income countries (LMIC) where addressing the CVD burden is a foremost development imperative. This review examines the reasons for this situation to propose a way forward. First, we review policy instruments to address behavioral and metabolic risk factors of CVD and health system interventions to improve cardiovascular outcomes. Second, we illustrate the financial, health workforce, health system challenges, and weak national capacity that impede the implementation of these policy instruments. Third, we discuss how LMIC might move forward despite these challenges by (a) giving due consideration to contextual and other factors that determine the success of policy implementation (b) including affordable, high-impact interventions as the core of the universal health coverage health benefit package with primary health care as the foundation and (c) by taking note of the WHO guidance provided in the 2023-2030 implementation roadmap for the Global Action Plan for prevention and control of NCD.

Atherogenic Combined Index: Validation of a Coronary Artery Disease Predictive Biomarker

BACKGROUND/AIM

The balance between atherogenic and antiatherogenic lipid particles significantly influences coronary artery disease (CAD), as an imbalance may contribute to the development and progression of atherosclerosis, which affects the risk and severity of CAD. This study aims to introduce and validate the atherogenic combined index (ACI) as a novel lipid biomarker that, comprehensively assesses the balance between atherogenic and antiatherogenic particles in the blood to effectively reflect the cumulative atherogenic effect and its association with the presence and severity of CAD.

MATERIAL AND METHODS

In this cross-sectional study, 1,830 patients diagnosed with CAD and a total of 650 patients without CAD were included in the study cohort for comprehensive analysis and comparison. Based on the tertiles of the SYNTAX score (SS), three subgroups of patients with CAD were identified. ACI and other atherogenic indices were compared to predict the presence and severity of CAD.

RESULTS

The levels of ACI and other non-traditional lipid markers levels were higher in the CAD group compared to the non-CAD group (p <0.05, for all). ACI showed a good linear association with the SYNTAX score (r = 0.527; p <0.001). The multivariate logistic regression model showed that ACI was an independent predictor of the presence (OR: 1.602, 95% CI: 1.509-1.701, p <0.001) and severity (OR: 1.296, 95% CI: 1.243-1.351, p <0.001) of CAD after adjustment for various confounders.

CONCLUSION

The results suggest that ACI may serve as a promising and stronger tool for predicting the presence and severity of CAD.

Differences in cardiovascular disease mortality between northern and southern China under exposure to different temperatures: a systematic review

Background

Due to differences in climate and other environmental factors, exposure to different temperatures in China has different effects on the relative risk (RR) of cardiovascular disease (CVD) mortality. It is therefore important to compare the effects of exposure to different temperatures on CVD mortality in different regions of China.

Methods

To compare these effects, we performed a meta-analysis of 21 studies identified by a search of the Web of Science and China National Knowledge Infrastructure databases from January 1, 2014 to January 1, 2024. We performed the Cochran Q test and I 2 statistics test to evaluate heterogeneity and Egger's test to evaluate publication bias.

Results

The pooled estimated size of the relationship between exposure to different temperatures and CVD mortality was 1.60 (95% confidence interval [CI]: [1.42-1.80]) for the extreme cold, 1.17 (95% CI [1.10-1.25]) for the extreme heat, and 1.16 (95% CI [1.10-1.24]) for extremely high diurnal temperature range (DTR). The Egger's test showed potential publication bias in studies analyzing both the extreme cold and the extreme heat.

Discussion

Extreme cold, extreme heat, and extremely high DTR are associated with an increase in CVD mortality in China, with extreme cold having the most significant effect. Residents of northern regions are more susceptible to high temperatures, while residents of southern regions are more sensitive to low temperatures.

Deep Learning-Enhanced Paper-Based Vertical Flow Assay for High-Sensitivity Troponin Detection Using Nanoparticle Amplification

Successful integration of point-of-care testing (POCT) into clinical settings requires improved assay sensitivity and precision to match laboratory standards. Here, we show how innovations in amplified biosensing, imaging, and data processing, coupled with deep learning, can help improve POCT. To demonstrate the performance of our approach, we present a rapid and cost-effective paper-based high-sensitivity vertical flow assay (hs-VFA) for quantitative measurement of cardiac troponin I (cTnI), a biomarker widely used for measuring acute cardiac damage and assessing cardiovascular risk. The hs-VFA includes a colorimetric paper-based sensor, a portable reader with time-lapse imaging, and computational algorithms for digital assay validation and outlier detection. Operating at the level of a rapid at-home test, the hs-VFA enabled the accurate quantification of cTnI using 50 μL of serum within 15 min per test and achieved a detection limit of 0.2 pg/mL, enabled by gold ion amplification chemistry and time-lapse imaging. It also achieved high precision with a coefficient of variation of <7% and a very large dynamic range, covering cTnI concentrations over 6 orders of magnitude, up to 100 ng/mL, satisfying clinical requirements. In blinded testing, this computational hs-VFA platform accurately quantified cTnI levels in patient samples and showed a strong correlation with the ground truth values obtained by a benchtop clinical analyzer. This nanoparticle amplification-based computational hs-VFA platform can democratize access to high-sensitivity point-of-care diagnostics and provide a cost-effective alternative to laboratory-based biomarker testing.

The economic burden of type 2 diabetes on the public healthcare system in Kenya: a cost of illness study

BACKGROUND

The burden of chronic non-communicable diseases (NCDs) is a growing public health concern. The availability of cost-of-illness data, particularly public healthcare costs for NCDs, is limited in Sub-Saharan Africa (SSA), yet such data evidence is needed for policy action.

OBJECTIVE

The objective of this study was to estimate the economic burden of type 2 diabetes (T2D) on Kenya's public healthcare system in 2021 and project costs for 2045.

METHODS

This was a cost-of-illness study using the prevalence-based bottom-up costing approach to estimate the economic burden of T2D in the year 2021. We further conducted projections on the estimated costs for the year 2045. The costs were estimated corresponding to the care, treatment, and management of diabetes and some diabetes complications based on the primary data collected from six healthcare facilities in Nairobi and secondary costing data from previous costing studies in low and middle-income countries (LMICs). The data capture and costing analysis were done in Microsoft Excel 16, and sensitivity analysis was conducted on all the parameters to estimate the cost changes.

RESULTS

The total cost of managing T2D for the healthcare system in Kenya was estimated to be US$ 635 million (KES 74,521 million) in 2021. This was an increase of US$ 2 million (KES 197 million) considering the screening costs of undiagnosed T2D in the country. The major cost driver representing 59% of the overall costs was attributed to T2D complications, with nephropathy having the highest estimated costs of care and management (US$ 332 million (KES 36, 457 million). The total cost for T2D was projected to rise to US$ 1.6 billion (KES 177 billion) in 2045.

CONCLUSION

This study shows that T2D imposes a huge burden on Kenya's healthcare system. There is a need for government and societal action to develop and implement policies that prevent T2D, and appropriately plan care for those diagnosed with T2D.

Machine learning-based risk prediction for major adverse cardiovascular events in a Brazilian hospital: Development, external validation, and interpretability

BACKGROUND

Studies of cardiovascular disease risk prediction by machine learning algorithms often do not assess their ability to generalize to other populations and few of them include an analysis of the interpretability of individual predictions. This manuscript addresses the development and validation, both internal and external, of predictive models for the assessment of risks of major adverse cardiovascular events (MACE). Global and local interpretability analyses of predictions were conducted towards improving MACE's model reliability and tailoring preventive interventions.

METHODS

The models were trained and validated on a retrospective cohort with the use of data from Ribeirão Preto Medical School (RPMS), University of São Paulo, Brazil. Data from Beth Israel Deaconess Medical Center (BIDMC), USA, were used for external validation. A balanced sample of 6,000 MACE cases and 6,000 non-MACE cases from RPMS was created for training and internal validation and an additional one of 8,000 MACE cases and 8,000 non-MACE cases from BIDMC was employed for external validation. Eight machine learning algorithms, namely Penalized Logistic Regression, Random Forest, XGBoost, Decision Tree, Support Vector Machine, k-Nearest Neighbors, Naive Bayes, and Multi-Layer Perceptron were trained to predict a 5-year risk of major adverse cardiovascular events and their predictive performance was evaluated regarding accuracy, ROC curve (receiver operating characteristic), and AUC (area under the ROC curve). LIME and Shapley values were applied towards insights about model interpretability.

FINDINGS

Random Forest showed the best predictive performance in both internal validation (AUC = 0.871 (0.859-0.882); Accuracy = 0.794 (0.782-0.808)) and external one (AUC = 0.786 (0.778-0.792); Accuracy = 0.710 (0.704-0.717)). Compared to LIME, Shapley values suggest more consistent explanations on exploratory analysis and importance of features.

CONCLUSIONS

Among the machine learning algorithms evaluated, Random Forest showed the best generalization ability, both internally and externally. Shapley values for local interpretability were more informative than LIME ones, which is in line with our exploratory analysis and global interpretation of the final model. Machine learning algorithms with good generalization and accompanied by interpretability analyses are recommended for assessments of individual risks of cardiovascular diseases and development of personalized preventive actions.

Real-world evidence study on the impact of SPECT MPI, PET MPI, cCTA and stress echocardiography on downstream healthcare utilisation in patients with coronary artery disease in the US

BACKGROUND

Coronary artery disease (CAD) is associated with a large clinical and economic burden. However, consensus on the optimal approach to CAD diagnosis is lacking. This study sought to compare downstream healthcare resource utilisation following different cardiac imaging modalities, to inform test selection for CAD diagnosis.

METHODS

Claims and electronic health records data from the Decision Resources Group Real-World Evidence US Data Repository were analysed for 2.5 million US patients who underwent single-photon emission computed tomography myocardial perfusion imaging (SPECT MPI), positron emission tomography myocardial perfusion imaging (PET MPI), coronary computed tomography angiography (cCTA), or stress echocardiography between January 2016 and March 2018. Patients were stratified into nine cohorts based on suspected or existing CAD diagnosis, pre-test risk, and prior events or interventions. Downstream healthcare utilisation, including additional diagnostic imaging, coronary angiography, and cardiac-related health system encounters, was compared by cohort and index imaging modality.

RESULTS

Among patients with suspected CAD diagnosed within 3 months of the index test, PET MPI was associated with lower downstream utilisation; 25-37% of patients who underwent PET MPI required additional downstream healthcare resources compared with 40-49% of patients who received SPECT MPI, 35-41% of patients who underwent cCTA, and 44-47% of patients who received stress echocardiography. Patients who underwent PET MPI experienced fewer acute cardiac events (5.3-9.4%) and generally had lower rates of healthcare encounters (0.8-4.1%) and invasive coronary angiography (ICA, 15.4-24.2%) than those who underwent other modalities. SPECT MPI was associated with more downstream ICA (31.3-38.2%) and a higher rate of cardiac events (9.5-13.2%) compared with PET MPI (5.3-9.4%) and cCTA (6.9-9.9%). Across all cohorts, additional diagnostic imaging was 1.6 to 4.7 times more frequent with cCTA compared with PET MPI.

CONCLUSION

Choice of imaging modality for CAD diagnosis impacts downstream healthcare utilisation. PET MPI was associated with lower utilisation across multiple metrics compared with other imaging modalities studied.

The financial burden of noncommunicable diseases from out-of-pocket expenditure in sub-Saharan Africa: a scoping review

The growing financial burden of noncommunicable diseases (NCDs) in sub-Saharan Africa (SSA) hinders the attainment of the sustainable development goals. However, there has been no updated synthesis of evidence in this regard. Therefore, our study summarizes the current evidence in the literature and identifies the gaps. We systematically search relevant databases (PubMed, Scopus, ProQuest) between 2015 and 2023, focusing on empirical studies on NCDs and their financial burden indicators, namely, catastrophic health expenditure (CHE), impoverishment, coping strategies, crowding-out effects and unmet needs for financial reasons (UNFRs) in SSA. We examined the distribution of the indicators, their magnitudes, methodological approaches and the depth of analysis. The 71 included studies mostly came from single-country (n = 64), facility-based (n = 52) research in low-income (n = 22), lower-middle-income (n = 47) and upper-middle-income (n = 10) countries in SSA. Approximately 50% of the countries lacked studies (n = 25), with 46% coming from West Africa. Cancer, cardiovascular disease (CVD) and diabetes were the most commonly studied NCDs, with cancer and CVD causing the most financial burden. The review revealed methodological deficiencies related to lack of depth, equity analysis and robustness. CHE was high (up to 95.2%) in lower-middle-income countries but low in low-income and upper-middle-income countries. UNFR was almost 100% in both low-income and lower-middle-income countries. The use of extreme coping strategies was most common in low-income countries. There are no studies on crowding-out effect and pandemic-related UNFR. This study underscores the importance of expanded research that refines the methodological estimation of the financial burden of NCDs in SSA for equity implications and policy recommendations.

Burden of cardiovascular disease attributable to lead exposure in China: a comprehensive analysis of data from 1990 to 2019

OBJECTIVE

To analyze the burden of cardiovascular disease (CVD) caused by lead pollution exposure in China from 1990 to 2019.

METHODS

Utilizing data from the Global Burden of Disease 2019 (GBD 2019), this research examines the changes in the number of CVD deaths, deaths rates, disability-adjusted life years (DALYs) and DALY rates, as well as their age-normalization rates, due to lead pollution exposure in China from 1990 to 2019. Joinpoint was used to estimate average annual percentage of change (AAPC) and reflect the time change trend of the burden of CVD caused by lead pollution exposure in China, the world and different socio-demographic index (SDI) regions.

RESULTS

The age-standardized mortality rate and age-standardized DALY rate showed a decreasing trend in China from 1990 to 2019, with an average annual decrease of -1.17% (95% confidence interval (CI): -3.49~-3.14, P<0.05) and -1.90% (95% CI: -2.04~-1.75, P<0.05), respectively. In 2019, age-standardized CVD mortality and DALY rates attributed to lead exposure in China were higher than those in the global, high-SDI, medium-high SDI and moderate SDI regions. In 2019, 5.94% of CVD deaths in China were caused by lead exposure. Compared to 1990, the number of attributable deaths and mortality increased by 0.73% and 0.44%, respectively, and the attributable DALY and DALY rates increased by 30.04% and 8.22%, respectively. From 1990 to 2019, the mortality rate and DALY rate of males were higher than those of females, and the mortality rate and DALY rate increased with the increase of age, reaching the highest in the age group of 70 years and above.

CONCLUSION

In 2019, the standardized death rate of CVD and the standardized DALY rate attributed to lead pollution exposure in China were higher than those in the global regions with high SDI, medium-high SDI and medium SDI. The findings highlight demographic disparities in CVD deaths and DALYs attributable to lead exposure, with males and the elderly identified as high-risk groups.

Dynamic trends of ischemic heart disease mortality attributable to high low-density lipoprotein cholesterol: a joinpoint analysis and age-period-cohort analysis with predictions

AIMS

The purpose of this study was to analyze the dynamic trends of ischemic heart disease (IHD) mortality attributable to high low-density lipoprotein cholesterol (LDL-C).

METHODS

Data on IHD mortality attributable to high LDL-C from 1990 to 2021 were extracted from the global disease burden database. Joinpoint software was used to estimate the average annual percentage change (AAPC) in the age-standardized mortality rate (ASMR). An age‒period‒cohort model was used to analyze the impacts of age, period, and cohort on these changes. The Bayesian framework was used to predict IHD mortality attributable to high LDL-C from 2022 to 2040.

RESULTS

The overall ASMR of IHD attributable to high LDL-C decreased from 50. 479 per 100,000 people in 1990 to 32.286 per 100,000 people in 2021, and ASMR of IHD attributable to high LDL-C was higher in males than in females. The longitudinal age curves of the overall IHD mortality attributable to high LDL-C showed a monotonic upward trend, especially after 65 years of age. The period and cohort effect relative risk (RR) values of overall IHD mortality attributable to high LDL-C showed a downward trend. The overall ASMR of IHD attributable to high LDL-C is predicted to show a downward trend, and male IHD mortality attributable to high LDL-C is expected to be higher than that of females.

CONCLUSION

This study revealed a sustained decrease in IHD mortality attributable to high LDL-C over three decades, with a continued decline expected. Despite this, gender disparities persist, with males experiencing higher mortality rates and elderly individuals remaining a vulnerable group.

Cardiovascular risk assessment using non-laboratory based WHO CVD risk prediction chart with respect to hypertension status among older Indian adults: insights from nationally representative survey

Introduction

Knowledge of the risk of developing cardiovascular diseases (CVD) in the population is an important risk management strategy for the prevention of this disease. This is especially true for India, which has resource-restrained settings with an increased risk in a younger population for the development of the disease. An important modifiable risk factor for CVD is hypertension, with its influence on the development of CVD.

Methods

The data from the first wave of the Longitudinal Ageing Study in India (LASI) was used to calculate the 10-year CVD Risk Score among older adults ≥45 years using a WHO (2019) non-laboratory- based chart for South Asia. Univariate analysis was done using Pearson's chi-square test, and multivariable analysis using ordinal logistic regression. Categories of CVD risk score were considered as dependent variable. Socio-demographic variables, regular exercise, history of diabetes and hyperlipidaemia were considered as the independent variables. Relationship between CVD Risk score and hypertensives and self-reported hypertensives were presented using restricted cubic splines.

Result

Two-thirds (68.8%) of the population had a 10-year CVD risk of <10, and 2.8% had a risk of ≥20%. The self-reported hypertensives were distributed linearly in restricted cubic splines, with a more scattered distribution in higher scores, while actual hypertensives showed a sigmoid pattern. Urban residents (OR-0.88), being unmarried (OR-0.86), being in the richer (OR-0.94) and richest (OR-0.86) monthly per capita expenditure (MPCE) quintile and exercising regularly (OR-0.68) decreased the odds of being in a higher CVD risk score. Less than primary schooling (1.21) and diabetics (1.69) had higher odds for a higher CVD risk score.

Conclusion

In this population, two-thirds had <10% risk for the development of CVD. The study shows a higher risk among rural, poor, and those with a lower education and lower CVD risk for those undertaking physical activity. The sigmoid pattern in actual hypertensives highlights the need for early detection. Even those with undiagnosed hypertension but with a higher BP had a similar risk for disease development, thus highlighting the need for an early detection of hypertension.

The impact of social relationships on the risk of stroke and post-stroke mortality: a systematic review and meta-analysis

BACKGROUND

The association between poor social relationships and post-stroke mortality remains uncertain, and the evidence regarding the relationship between poor social relationships and the risk of stroke is inconsistent. In this meta-analysis, we aim to elucidate the evidence concerning the risk of stroke and post-stroke mortality among individuals experiencing a poor social relationships, including social isolation, limited social networks, lack of social support, and loneliness.

METHODS

A thorough search of PubMed, Embase, and the Cochrane Library databases to systematically identify pertinent studies. Data extraction was independently performed by two researchers. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated using either a random-effects or fixed-effects model. Sensitivity analyses were conducted to evaluate the reliability of the results. Random-effects meta-regression was performed to explore the sources of heterogeneity in stroke risk estimates between studies. Assessment for potential publication bias was carried out using Egger's and Begg's tests.

RESULTS

Nineteen studies were included, originating from 4 continents and 12 countries worldwide. A total of 1,675,707 participants contributed to this meta-analysis. Pooled analyses under the random effect model revealed a significant association between poor social relationships and the risk of stroke (OR = 1.30; 95%CI: 1.17-1.44), as well as increased risks for post-stroke mortality (OR = 1.36; 95%CI: 1.07-1.73). Subgroup analyses demonstrated associations between limited social network (OR = 1.52; 95%CI = 1.04-2.21), loneliness (OR = 1.31; 95%CI = 1.13-1.51), and lack of social support (OR = 1.66; 95%CI = 1.04-2.63) with stroke risk. The meta-regression explained 75.21% of the differences in reported stroke risk between studies. Random-effect meta-regression results indicate that the heterogeneity in the estimated risk of stroke may originate from the continent and publication year of the included studies.

CONCLUSION

Social isolation, limited social networks, lack of social support, and feelings of loneliness have emerged as distinct risk factors contributing to both the onset and subsequent mortality following a stroke. It is imperative for public health policies to prioritize the multifaceted influence of social relationships and loneliness in stroke prevention and post-stroke care.

TRIAL REGISTRATION

The protocol was registered on May 1, 2024, on the Prospero International Prospective System with registration number CRD42024531036.

Predicting high blood pressure using machine learning models in low- and middle-income countries

Responding to the rising global prevalence of noncommunicable diseases (NCDs) requires improvements in the management of high blood pressure. Therefore, this study aims to develop an explainable machine learning model for predicting high blood pressure, a key NCD risk factor, using data from the STEPwise approach to NCD risk factor surveillance (STEPS) surveys. Nationally representative samples of adults aged 18-69 years were acquired from 57 countries spanning six World Health Organization (WHO) regions. Data harmonization and processing were performed to standardize the selected predictors and synchronize features across countries, yielding 41 variables, including demographic, behavioural, physical, and biochemical factors. Five machine learning models - logistic regression, k-nearest neighbours, random forest, XGBoost, and a fully connected neural network - were trained and evaluated at global, regional, and country-specific levels using an 80/20 train-test split. The models' performance was assessed using accuracy, precision, recall, and F1 score. Feature importance analysis identified age, weight, heart rate, waist circumference, and height as key predictors of blood pressure. Across the 57 countries studied, model performances varied considerably, with accuracy ranging from as low as 58.96% in some models for specific countries to as high as 81.41% in others, underscoring the need for region and country-specific adaptations in modelling approaches. The explainable model offers an opportunity for population-level screening and continuous risk assessment in resource-limited settings.

Health lifestyles of six Zhiguo ethnic groups in China: a latent class analysis

BACKGROUND

Zhiguo ethnic groups, commonly known as "the directly-entering-socialism ethnic groups", represent Chinese ethnic minorities who have undergone a unique social development trajectory by transforming directly from primitive societies to the socialist stage. In recent decades, significant lifestyle transformations have occurred among Zhiguo ethnic groups. Understanding their health lifestyles can play a strategic role in China's pursuit of universal health coverage. This study aims to examine patterns of health-related lifestyle among Zhiguo ethnic groups and explore whether sociodemographic features and specific indicators related to health status are associated with particular classes.

METHODS

A cross-sectional study was conducted in Yunnan Province, China, from July to December 2022. Stratified random sampling method was employed to recruit residents belonging to six Zhiguo ethnic groups aged between 15 and 64. Latent class analysis was performed to identify clusters of health-related behaviors within each ethnic group. Logistic regression was utilized to determine the predictors of health lifestyles.

RESULTS

A total of 1,588 individuals from the Zhiguo ethnic groups participated in this study. Three latent classes representing prevalent health lifestyles among the Zhiguo ethnic groups were identified: "unhealthy lifestyle" (31.80%), "mixed lifestyle" (57.37%), and "healthy lifestyle" (10.83%). In the overall population, individuals belonging to the "healthy lifestyle" group exhibited a higher likelihood of being non-farmers (OR: 2.300, 95% CI: 1.347-3.927), women (OR: 21.459, 95% CI: 13.678-33.667), married individuals (OR: 1.897, 95% CI: 1.146-3.138), and those residing within a walking distance of less than 15 min from the nearest health facility (OR: 2.133, 95% CI: 1.415-3.215). Conversely, individuals in the age cohorts of 30-39 years (OR: 0.277, 95% CI: 0.137-0.558) and 40-49 years (OR: 0.471, 95% CI: 0.232-0.958) showed a decreased likelihood of adopting a healthy lifestyle.

CONCLUSIONS

A considerable proportion of the Zhiguo ethnic groups have not adopted healthy lifestyles. Targeted interventions aimed at improving health outcomes within these communities should prioritize addressing the clustering of unfavorable health behaviors, with particular emphasis on single male farmers aged 30-49, and expanding healthcare coverage for individuals residing more than 15 min away from accessible facilities.

The impact of health insurance on hypertension care: a household fixed effects study in India

INTRODUCTION

Hypertension is highly prevalent in India, but the proportion of patients achieving blood pressure control remains low. Efforts have been made to expand health insurance coverage nationwide with the aim of improving overall healthcare access. It is critical to understand the role of health insurance coverage in improving hypertension care.

METHODS

We used secondary data from the nationally representative sample of adults aged 15-49 years from the 2015-2016 National Family Health Survey (NFHS) in India. We defined the hypertension care cascade as four successive steps of (1) screened, (2) diagnosed, (3) treated, and (4) controlled, and operationalized these variables using blood pressure measurements and self-reports. We employed household fixed effect models that conceptually matched people with and without insurance within the household, to estimate the impact of insurance coverage on the likelihood of reaching each care cascade step, while controlling for a wide range of additional individual-level variables.

RESULTS

In all 130,151 included individuals with hypertension, 20.4% reported having health insurance. For the insured hypertensive population, 79.8% (95% Confidence Interval: 79.3%-80.3%) were screened, 49.6% (49.0%-50.2%) diagnosed, 14.3% (13.9%-14.7%) treated, and 7.9% (7.6%-8.2%) controlled, marginally higher than the percentages for the uninsured 79.8% (79.5%-80.0%), 48.2% (47.9%-48.6%), 13.3% (13.1%-13.5%), and 7.5% (7.4%-7.7%) for each cascade step, respectively. From the household fixed effects model, health insurance did not show significant impact on the hypertension care cascade, with the estimated relative risks of health insurance 0.97 (0.93-1.02), 0.97 (0.91-1.03), 0.95 (0.77-1.30), and 0.97 (0.65-1.10) for each cascade step, respectively. We further performed stratified analyses by sociodemographic and behavioral risk factors and a sensitivity analysis with district fixed effects, all of which yielded results that confirmed the robustness of our main findings.

CONCLUSIONS

Health insurance did not show significant impact on improving hypertension care cascade among young and middle-aged adults with hypertension in India. Innovative strategies for overcoming practical barriers to healthcare services in addition to improving financial access are needed to address the large unmet need for hypertension care.

Prevalence and influencing factors of kinesiophobia in patients with heart disease: a meta-analysis and systematic review

This study aims to assess the global prevalence of kinesiophobia and the potential influencing factors among patients with heart disease. A comprehensive search was conducted in PubMed, Embase, Web of Science, PsycINFO, and Scopus databases to identify studies reporting on the prevalence of kinesiophobia and its influencing factors in heart disease patients up to January 2024. A random-effects model was employed to aggregate prevalence rates. Heterogeneity sources were investigated through subgroup analysis, while differences in the prevalence of kinesiophobia across regions, types of heart disease, and gender were evaluated. Additionally, a qualitative analysis of the factors influencing kinesiophobia was performed. This research incorporated 15 studies from six countries, with 14 providing data on the prevalence of kinesiophobia and nine exploring its potential influencing factors. The findings indicated that the overall prevalence of kinesiophobia among heart disease patients was 61.0% (95% CI 49.4-72.6%). Subgroup analysis revealed that the prevalence in upper-middle-income countries was 71.8% (95% CI 66.2-77.4%), while it stands at 49.9% (95% CI 30.2-69.5%) in high-income countries. The prevalence rates among patients with coronary artery disease, heart failure, and atrial fibrillation were 63.2% (95% CI 45.2-81.3%), 69.2% (95% CI 57.6-80.8%), and 71.6% (95% CI 67.1-76.1%), respectively. Gender-wise, no significant difference was observed in the prevalence of kinesiophobia between men and women (52.2% vs. 51.8%). A total of 24 potential influencing factors of kinesiophobia were identified, with education level, monthly income, anxiety, and exercise self-efficacy being the most recognized. The prevalence of kinesiophobia in patients with heart disease is notably high and is influenced by a multitude of factors. Early implementation of targeted preventive measures is imperative to mitigate the incidence of kinesiophobia in this population.

Reduced Income and Its Associations with Physical Inactivity, Unhealthy Habits, and Cardiac Complications in the Hypertensive Population

(1) Background: A low socioeconomic status significantly increases the risk of hypertension and its associated cardiovascular diseases due to limited access to healthcare and may be even more accentuated by the presence of unhealthy lifestyle habits. The aim of the present research was to study if associations exist between having a family income under the poverty threshold and having an unhealthy diet, being physically inactive, being an alcohol drinker, perceiving one's own health as bad, and suffering from congestive heart failure, coronary heart disease, angina pectoris, heart attack, or stroke. Additionally, the odds ratios of having these unhealthy habits and of suffering from the abovementioned cardiac complications of participants under the poverty threshold were calculated. (2) Methods: This cross-sectional study was based on the National Health and Nutrition Examination Survey (NHANES) 2011-2020. The sample comprised 6120 adults with hypertension (3188 males and 2932 females). A descriptive analysis and non-parametric chi-squared tests were used to study the associations. A binary logistic regression model and backward LR method were used to calculate the odds ratios, normalized by age and sex. (3) Results: The chi-squared test showed associations between having a family income under the poverty threshold and being physically inactive (p < 0.001), having an unhealthy diet (p < 0.001), being an alcohol drinker (p < 0.001), perceiving one's own health as bad (p < 0.001), and suffering from congestive heart failure (p = 0.002), heart attack (p = 0.001), or stroke (p = 0.02). A significantly increased odds ratio for these unhealthy habits and cardiac complications, and also for having coronary heart disease and angina pectoris, were found for hypertension sufferers under the poverty threshold. (4) Conclusions: It was confirmed that having a family income under the poverty threshold is associated with perceiving one's own health as bad, having a series of negative habits in terms of physical activity, diet, and alcohol consumption, and with suffering from congestive heart failure, heart attack, or stroke. Increased odds ratios for these unhealthy habits and these conditions, plus coronary heart disease and angina pectoris, were found for hypertension sufferers under the poverty threshold.

Estimation and determinants of direct hospitalisation cost for coronary heart disease in a low-middle-income country: evidence from a nationwide study in Iranian hospitals

BACKGROUND

Coronary heart disease (CHD) is the most prevalent type of cardiovascular disease in Iran. This study aims to investigate the estimation and determinants of direct hospitalisation cost for patients with CHD in Iranian hospitals.

METHODS

We identified patients with CHD in Iran in 2019-2020. Data were gathered from the Iran Health Insurance Organisation information systems and the Ministry of Health and Medical Education. This was a cross-sectional prevalence-based study. Generalised linear models were used to find the determinants of hospitalisation cost for patients with CHD. A total of 86 834 patients suffering from CHD were studied.

RESULTS

Mean hospitalisation cost per CHD patient was US$382.90±US$500.72 while the mean daily hospitalisation cost per CHD patient was US$89.71±US$89.99. In-hospital mortality of CHD was 2.52%. Hospitalisation accommodation and medications had the highest share of hospitalisation costs (25.59% and 22.63%, respectively). Men spent 1.12 (95% CI 1.11 to 1.13) times more on hospitalisation costs compared with women, and individuals aged 60 to 69 had hospitalisation costs 1.04 (95% CI 1.02 to 1.06) times higher than those in the 0-49 age range. Patients insured by the Iranian Fund have significantly higher costs 1.17 (95% CI 1.14 to 1.19) than the Rural fund. Hospitalisation costs for patients with CHD who received surgery and angiography were significantly 2.36 (95% CI 2.30 to 2.43) times higher than for patients who did not undergo surgery and angiography.

CONCLUSION

Applying CHD prevention strategies for men and the middle-aged population (50-70 years) is strongly recommended. Prudent use and prescribing of medications will be helpful to reduce hospitalisation cost.

Using machine learning to predict acute myocardial infarction and ischemic heart disease in primary care cardiovascular patients

BACKGROUND

Early recognition, which preferably happens in primary care, is the most important tool to combat cardiovascular disease (CVD). This study aims to predict acute myocardial infarction (AMI) and ischemic heart disease (IHD) using Machine Learning (ML) in primary care cardiovascular patients. We compare the ML-models' performance with that of the common SMART algorithm and discuss clinical implications.

METHODS AND RESULTS

Patient-level medical record data (n = 13,218) collected between 2011-2021 from 90 GP-practices were used to construct two random forest models (one for AMI and one for IHD) as well as a linear model based on the SMART risk prediction algorithm as a suitable comparator. The data contained patient-level predictors, including demographics, procedures, medications, biometrics, and diagnosis. Temporal cross-validation was used to assess performance. Furthermore, predictors that contributed most to the ML-models' accuracy were identified. The ML-model predicting AMI had an accuracy of 0.97, a sensitivity of 0.67, a specificity of 1.00 and a precision of 0.99. The AUC was 0.96 and the Brier score was 0.03. The IHD-model had similar performance. In both ML-models anticoagulants/antiplatelet use, systolic blood pressure, mean blood glucose, and eGFR contributed most to model accuracy. For both outcomes, the SMART algorithm was substantially outperformed by ML on all metrics.

CONCLUSION

Our findings underline the potential of using ML for CVD prediction purposes in primary care, although the interpretation of predictors can be difficult. Clinicians, patients, and researchers might benefit from transitioning to using ML-models in support of individualized predictions by primary care physicians and subsequent (secondary) prevention.