Risk Factor Profile Research Articles

Abstract 4132341: Systematic Examination of the AHA PREVENT Equations

Background: The novel AHA Predicting Risk of CVD Events (PREVENT) equations newly incorporate predictors (estimated glomerular filtration rate [eGFR]) and outcomes (heart failure [HF]) relevant to the novel construct of cardiovascular-kidney-metabolic (CKM) syndrome. Aims: We sought to characterize the intrinsic properties of the PREVENT equations by simulating different risk profiles across the age and CKM risk spectrum. Methods: We applied the PREVENT base equations to estimate 10-year predicted risk for total CVD, which includes atherosclerotic CVD and HF. First, we calculated risk estimates for a hypothetical individual varying age from 30-79 years with an average risk factor profile (mean population risk factor levels based on National Health and Nutrition Examination Survey 2011-2020 data without diabetes, not on anti-hypertensive or statin medication, and who does not smoke). Second, we examined at which age a hypothetical individual would exceed the previously defined intermediate risk threshold ≥7.5% established by national guidelines. Lastly, we examined the differences in predicted risk with or without diabetes and/or Stage 3 CKD (defined as eGFR 44.5 mL/min/1.73m 2 ). Results: For hypothetical individuals aged 30-79 years with average risk factor levels, predicted 10-year CVD risk is shown in the figure for females (Panel A) and males (Panel B). The predicted risk would exceed the intermediate risk threshold at age 68 years if female and 63 years if male. If the individual had Stage 3 CKD, the predicted risk would exceed the intermediate risk threshold at 60 if female and 55 years if male. If the individual had diabetes, the predicted risk would exceed the intermediate risk threshold at 59 if female and 52 years if male. If both diabetes and Stage 3 CKD were present, the predicted risk would exceed the intermediate risk threshold at age 42 years if female and 35 years if male. Conclusions: The PREVENT equations enable more granular differentiation of risk among individuals with varying CKM profiles. Understanding risk estimates across the spectrum of age and CKM can support interpretability among clinicians and patients.

Profiles of Peripheral Neuropathy and Risk Factors in People With Treatment-Naive Type 2 Diabetes Mellitus and Prediabetes

Profiles of Peripheral Neuropathy and Risk Factors in People With Treatment-Naive Type 2 Diabetes Mellitus and Prediabetes

Risk factors for shoulder pain and stiffness in adults aged 44 and older: an 11-year longitudinal population-based study

Objective We conducted a longitudinal observational study over 11 years to identify the risk factors for developing shoulder pain, stiffness, or both. Method The study population (n = 1645) was identified from Health 2000 Survey, a nationally representative sample of Finns aged ≥ 44 years, without shoulder pain and stiffness at the start of the study based on a questionnaire. The independent variables included age, sex, body mass index (BMI), education level, diabetes, physical work exposures, and Beck’s depression score. We used multinomial logistic regression models to estimate relative risk ratios and 95% confidence intervals for three outcomes: shoulder pain, shoulder stiffness, and both combined. Results We found that excess body mass and depressive symptoms were shared statistically significant risk factors for all three outcomes. However, we also observed distinct risk factor profiles: older age was associated with lower risk of shoulder pain but higher risk for shoulder stiffness with or without pain, while females had a lower risk of shoulder stiffness with or without pain. Participants with diabetes had higher risk of shoulder stiffness only. Physical workload factors predicted an increased risk of the combination of shoulder pain and stiffness. Conclusions Our study identified increased BMI and depressive symptoms as consistent risk factors for shoulder pain, stiffness, or both. Older age increased the risk of shoulder stiffness but lowered the risk of pain alone, while females had a lower risk of stiffness. Diabetes was specifically linked to shoulder stiffness, and physical workload increased the risk of combined pain and stiffness.

Bolstering the Prognostic Utility of Coronary Risk Assessments with PAI: A Physical Activity Metric.

Personal Activity Intelligence (PAI) translates heart rate during physical activity (PA) into a weekly score, that credits vigorous over low- and moderate intensity PA. We prospectively investigated the association between PAI and fatal and non-fatal coronary heart disease (CHD) in self-reported healthy participants from Norway, with specific reference to improving the accuracy of conventional coronary risk assessment. We studied 40 961 healthy adults (56% women) from the population based Trøndelag Health Study (the HUNT study). Individual data were linked to hospital and cause of death registries. The weekly PAI score of each participant was divided into four groups (PAI scores of 0, ≤50, 51-99, or ≥ 100). Adjusted hazard ratios [aHRs] and 95% confidence intervals (CIs) for fatal and non-fatal CHD related to PAI were estimated using Cox proportional hazard regression analyses. During a median follow-up period of 13.1 years (IQR, 12.7-13.6), 3303 (3109 non-fatal, 194 fatal) CHD events occurred. Compared with the inactive group (0 PAI), weekly PAI scores at baseline of 51-99 and ≥ 100 were associated with a lower risk of CHD [0.80 (0.71-0.91) and 0.86 (0.78-0.95), respectively]. By adding PAI to traditional risk factors, the net reclassification improvement of CHD was 0.472 (P < 0.001). PAI was inversely associated with CHD risk among healthy participants at baseline, and it's cardioprotective effect persisted across diverse risk factor profiles. A PAI score > 50 was substantially associated with a reduced risk of CHD. These findings have implications for improving the accuracy of conventional coronary risk assessments with PAI.

Cardiovascular Risk Factors and Genetic Risk in Transthyretin V142I Carriers.

Nearly 3% to 4% of Black individuals in the United States carry the transthyretin V142I variant, which increases their risk of heart failure. However, the role of cardiovascular (CV) risk factors (RFs) in influencing the risk of clinical outcomes among V142I variant carriers is unknown. This study aimed to assess the impact of CV RFs on the risk of heart failure in V142I carriers. This study included self-identified Black individuals without prevalent heart failure from 6 TOPMed (Trans-Omics for Precision Medicine) cohorts, the REGARDS (Reasons for Geographic And Racial Differences in Stroke) study, and the All of Us Research Program. The cohort was stratified based on the V142I genotype and the number of CV RFs (hypertension, diabetes, obesity, and hypercholesterolemia). Adjusted Cox models were used to assess the association of heart failure with the V142I genotype and CV RF profile, taking noncarriers with a favorable CV RF profile as reference. The cross-sectional analysis, including 1,625 V142I carriers among 48,365 Black individuals, found that the prevalence of CV RFs did not vary by V142I carrier status. In the longitudinal analysis, there were 587 (3.2%) V142I carriers among 18,407 Black individuals (median age: 60 years [Q1-Q3: 52-68 years], 63.0% female). Among carriers, the heart failure risk was attenuated with a favorable (0 or 1 RF) CV RF profile (adjusted HR: 2.26; 95%CI: 1.58-3.23) compared with an unfavorable (3 or 4 RFs) CV RF profile (adjusted HR: 4.14; 95%CI: 2.79-6.14). A favorable CV RF profile lowers but does not abrogate V142I variant-associated heart failure risk. This study highlights the importance of having a favorable CV RF profile among V142I carriers for risk reduction of heart failure.

Development of a systematic referral model to primary care health interventions for patients with atrial fibrillation. a delphi study

Abstract Background The European Society of Cardiology (ESC) guidelines for the management of atrial fibrillation (AF) recommend integrated care in AF, combining medical treatment with lifestyle modifications and psychosocial management in a multi-disciplinary set-up. Research show that patients with AF can benefit from lifestyle interventions and psychosocial management, like patient education. According to World Health Organization recommendations, these health interventions are moving from hospitals to primary healthcare settings. Therefore, patients with AF should be systematically referred to these interventions. Yet, an evidence-based referral model that can support this transition is lacking. Purpose The purpose is to develop a systematic referral model for primary care health interventions for patients with AF. Methods We used the Delphi-technique with three rounds of questionnaires (figure 1). International and national clinical experts in AF across disciplines and health sectors were invited to participate. In the first round, the expert panel evaluated items that could be part of a referral model on relevance, improvability and self-reporting. In the second round, the expert panel evaluated each item as either an inclusion or exclusion criteria, important knowledge to have, or not relevant. In the third round, the expert panel evaluated the items according to data source and outcome status. A final model was drawn based on items reaching consensus. The study was reported according to the guidance on conducting and reporting Delphi studies (CREDES). Results In total, 69 of 139 invited experts accepted to participate (50%). These were mostly academics or clinicians (90%), stemming from primary sector (16%), secondary sector (35%) and research (32%). Most were medical doctors (36%) and nurses (35%). However physiotherapist, psychologists, dieticians, and other disciplines along with six patients with AF were also represented. The expert panel (60% females) had a mean age of 50 years, and 65% were from Denmark. For the final referral model (figure 2), AF symptom burden and impaired health-related quality of life, anxiety and poor medicine compliance combined with a risk factor profile were the main inclusion criteria. Furthermore, it was important to know about the patients’ mental well-being, self-management abilities and comorbidities. Conclusion Consensus was reached for a generic referral model, which can be further adjusted in the appropriate clinical context. The model includes inclusion criteria which closely correlate with guidelines for AF management focusing on reducing the patients’ symptom and risk factor burden. The referral model is expected to increase the number of patients with AF referred to primary care health interventions, which could lead to better quality of life, fewer hospital admissions and lowered health care costs in AF.

Sex differences in secondary prevention and outcomes post-myocardial infarction in Scotland

Abstract Background Sex differences in outcomes after myocardial infarction (MI) are of increasing interest. Differential receipt of evidence-based treatments may contribute to such disparities. Purpose In this study, we investigate sex differences in the burden of risk factors, in-hospital and long-term treatment and outcomes in contemporary practice in Scotland, by analysing a nationwide sample of consecutive MI admissions. Methods All MI admissions centrally recorded between 2010-2016 by Public Health Scotland were included and followed up until the end of 2021. Poisson regressions analysed in-hospital outcomes (percutaneous coronary intervention (PCI), mortality and post-discharge secondary prevention medication). Models were adjusted for age, co-morbidities and ST-elevation on the electrocardiogram. Royston-Parmar models analysed long-term outcomes (all-cause and cardiovascular mortality, major adverse cardiovascular events (MACE)) and were sequentially adjusted for confounders (age, comorbidities, secondary prevention medications). A 2:1 age and sex-matched general population were included as controls. Results Of a total 47,063 MI patients, 15,776 (33.5%) were women. They were matched with 81,641 controls free of major cardiovascular disease. Median (interquartile range) age was 64 (56-72) years for men and 69 (60-75) years for women. Obesity, hypertension and renal disease were the risk factors more prevalent amongst women, while men had higher rates of previous MI, peripheral vascular disease and atrial fibrillation. Compared to men, women were less likely to undergo PCI (risk ratio (95% confidence interval) – 0.87 (0.86-0.89)) or receive secondary prevention (0.94 (0.93-0.95)), but had similar in-hospital mortality (1.06 (0.99-1.13)), after multi-variable adjustment. Over a median follow-up of 8.4 (6.8-10.2) years, women had higher raw rates of adverse outcomes. However, after full confounder adjustment, this translated into lower risk for women of all cause-mortality 0.92 (0.89-0.95), cardiovascular mortality 0.82 (0.78-0.87) and MACE 0.92 (0.88-0.95) (Figure 1). The female survival advantage was attenuated post-MI in comparison to controls free of significant cardiovascular disease (Figure 2). Conclusions Women and men have different MI risk factor profiles. Women had overall worse crude outcome rates after MI, driven by age and comorbidities. This may have been driven further by undertreatment after MI, including PCI and secondary prevention. Urgent identification of drivers for such disparities in care is warranted in order to improve outcomes and ensure health equity.

Serum lipid profiles and uptake of lipid-lowering therapy in patients with premature atherosclerotic cardiovascular disease (ASCVD) in comparison to older patients with ASCVD

Abstract Background Serum lipid levels are well-established risk factors for developing atherosclerotic cardiovascular disease (ASCVD). There are multiple guideline-supported treatments for managing dyslipidaemia for secondary prevention of ASCVD events. Lipid profiles and uptake of guideline-directed lipid-lowering therapy (GDLLT) is poorly characterised in patients with premature ASCVD compared to their older counterparts. Purpose To investigate serum lipid profiles and GDLLT uptake in patients with premature ASCVD in comparison to older patients with ASCVD. Methods Consecutive patients who underwent inpatient invasive coronary angiography at our institution between January 2019-December 2021 were examined. Patients with confirmed ASCVD on coronary angiography were stratified into two groups based on the 2019 ESC/EAS Guidelines for the Management of Dyslipidaemias definition of premature ASCVD: Group 1 comprised of younger patients (&amp;lt;55 years for men, &amp;lt;60 years for women) and Group 2 comprised of older patients (≥55 years for men, ≥60 years for women). Demographics, clinical and biochemical parameters (including lipid profiles) and medications were obtained from the electronic medical record and compared between groups to identify differences in risk factor profiles. Results A total of 1437 patients (980 [68.2%] male, mean age 62.4±13.9 years) underwent coronary angiography. 916 patients (63.7%) had confirmed ASCVD, of which 225 were classified as premature ASCVD (24.6%, mean age 47.8±10.1 years) vs 691 older patients with ASCVD (75.4%, mean age 69.5±8.7 years). Group 1 patients had significantly higher mean BMI (31.7±8.1 vs 69.5±8.7; p=0.001) and lower prevalence of hypertension (54.2% vs 69.5%; p&amp;lt;0.001) or chronic kidney disease (5.3% vs 12.6%; p=0.002) compared to Group 2. There were no significant differences in sex, diabetes mellitus, or smoking history. Lipid profiles were significantly different between the two groups: Group 1 had higher levels of total cholesterol (TC), LDL-C, triglycerides, and TC/HDL-C ratio, but lower HDL-C levels (all p&amp;lt;0.001). A lower proportion of Group 1 patients were on GDLLT (42.7% vs. 60.3%; p&amp;lt;0.001). Amongst patients on GDLLT, there were similar rates in the use of high-intensity statins between groups, but Group 1 patients were significantly more likely to have an LDL-C level ≥1.8mmol/L (p=0.003). Multivariable models for individual lipid subfractions, accounting for gender, cardiovascular risk factors, and LLT use, showed that all lipid parameters remained significantly different between groups (all p&amp;lt;0.001). Conclusion Patients with premature ASCVD have significantly different lipid profiles compared to older ASCVD patients. They also have lower uptake of guideline-directed LLT and are less likely to meet recommended LDL-C targets for high-risk ASCVD despite therapy. These findings highlight the need for tailored risk factor evaluation and management in this population.

Cross-national characteristics and differences in type 2 diabetes: Malta versus Luxembourg

Abstract Introduction Type 2 diabetes mellitus (T2DM) is a significant global health concern, requiring a thorough understanding of its population-level features and impact. This study aims to compare the characteristics of T2DM in Malta and Luxembourg, two European nations with distinctive healthcare systems and societal attributes. Methods Data from national health surveys conducted in Malta and Luxembourg, encompassing various factors such as socio-demographics, medical history, biochemical metrics, and anthropometric measurements, were analysed to investigate the features of T2DM. Comparative analyses were conducted utilizing chi-square tests, independent t-tests, and multivariable binary regression. Results Malta (8.23%) and Luxembourg (7.82%) shared similar T2DM prevalence, with a predominance of men having T2DM. Malta exhibited a higher prevalence of obesity among the individuals having T2DM. Multivariable analysis showed no significant association between living in Malta or Luxembourg and diabetes. However, being male (OR: 1.49, CI 95%: 1.07–2.08, p = 0.02), an occasional smoker (OR: 2.49, CI 95%: 1.54–4.03, p &amp;lt; 0.01), increasing age (OR: 1.05, CI 95%: 1.03–1.67), and larger waist circumference (OR: 1.02, CI 95%: 1.01–1.04, p = 0.01) were positively associated with diabetes. Conclusions Understanding similarities and differences in T2DM between Malta and Luxembourg is crucial for identifying common challenges to formulate effective prevention and management strategies. Despite similar T2DM prevalence rates, notable differences in obesity rates and socioeconomic factors may contribute to disparities in disease burden. The complex interplay of numerous population characteristics underscores the importance of tailored public health interventions. This study accentuates the need for interventions and evidence-based policies to address modifiable risk factors, and advocate for cross-national cooperation to reduce the T2DM epidemic, especially in the context of post-COVID public health planning and resource allocation. Key messages • Malta and Luxembourg share similar T2DM prevalence despite differences in other factors, hypothesised to be attributed to differences in risk factor profiles and health care infrastructure. • This study underscores the necessity for tailored interventions and cross-national cooperation to address common challenges in T2DM management in the two small countries.

8.G. Scientific session: The German National Cohort (NAKO): Current state, follow up data collection and selected results

Abstract This workshop aims to give an overview on current state and selected results of the German National Cohort (NAKO). NAKO is the largest, multidisciplinary population-based cohort study in Germany. The overall aims of NAKO are: 1) to elucidate pathways to major chronic diseases such as diabetes, cancer, cardiovascular, pulmonary, neuro-psychiatric, and infectious diseases, focusing on determinants and exposures (e.g., socioeconomic, psychosocial, behavioural, occupational, and environmental factors); 2) to assess regional differences; and to improve prevention and early detection of disease. Between 2014 and 2019 more than 205,000 men and women aged 20-74 years at baseline were recruited in 18 study centres across Germany. During their examination participants underwent an extensive programme including a face-to-face interview, self-administered, computer-based questionnaires, in-depth biomedical examinations, and the collection of various bio-samples. In addition, at 5 study centres a subgroup of almost 31,000, received whole-body magnet resonance imaging (MRI). In 4-5 year intervals, all study participants are re-invited for examination at the study centres. The first re-examination started in October 2018 and will be finished in July 2024. In parallel the pilot phase for the second re-examination will start in May 2024. The programme for both re-examinations is similar to the baseline programme. Thereby, longitudinal information on changes in risk factor profiles and in vascular, cardiac, metabolic, neurocognitive, pulmonary and sensory function is collected. During the COVID-19 pandemic two supplemental questionnaires focusing on pandemic-related aspects were provided to all NAKO participants at two different time points. The first COVID-19 questionnaire collected data on more than 160,000 participants during the first COVID-19-related lockdown in Spring 2020. The questionnaire included questions on general state of health, Sars-CoV-2 symptoms, changes in psychosocial, socioeconomic, and behavioural factors (e.g., physical activity). The workshop session consists of four presentations. The first presentation will provide insights into the extensive examination programme of NAKO, will give a short overview on the current state and plans for follow-up of data collection. In addition, it will briefly inform about possibilities to get access to NAKO data. Furthermore, the workshop will include three presentations on selected results of NAKO to demonstrate its broad research scope. The presentations will focus on the following topics: 1) cardiovascular disease and sex differences according to socioeconomic position, 2) cognitive functioning according to income, employment and living alone, 3) physical activity and changes during the COVID-19 pandemic. Key messages • Due to the large sample size, and the broad research scope, NAKO provides an excellent resource to scientists form different research disciplines and enforces interdisciplinary collaborations. • The workshop will be informative to researchers who are planning to work with NAKO data as data access within the European Union/the European Economic Area is open since spring 2024.

Heterogeneous courses of cardiovascular disease incidence in Europe 2000-2019 – what are the causes?

Abstract Background Data from the Global Burden of Disease (GBD) project distributed by the Institute for health metrics and evaluation (IHME) include incidence and prevalence data for almost all countries in the world. In course of own research, the data on cardiovascular disease (CVD) incidence in Western European countries were analysed and revealed great variation in the course of CVD incidence, that is difficult to interpret. We want to present the different courses of CVD incidence for selected countries and discuss possible reasons for this diversity with the audience. Methods GBD data on CVD incidence and mortality for 25 European countries from 2000-2019 for men and women were to graphically display courses of CVD incidence for visual analysis. Results The course of CVD incidence in Western Europe is country-specific - and, within a country, even sex-specific. Yet, in many countries besides the Baltic states and Czechia, CVD incidence reaches a minimum in 2010, increasing afterwards again. Different patterns of incident courses were visible: a) wave-shaped courses which increase e.g. in Austria, Belgium, France and in males in Finland only, but decrease for both sexes Germany, Norway, Portugal and Poland, and in males in Denmark b) u-shaped courses in Spain, Great Britain, France, Italy, and for Finnish and Dutch females c) linearly increasing for both sexes in Czechia, the Baltic states and in Swiss males d) linearly decreasing for women Norway, Belgium, Denmark and Austria. Conclusions The patterns of CVD incidence in Europe are multitude and country-specific even between sexes, reaching a minimum in 2010 in most countries. The validity of analyses combining these different patterns for regional analyses of CVD incidence such as in GBD reports do not take account for this diversity. Unless these differences can be explained by country-specific prevention or risk factor profile, the validity of data on CVD incidence seems to be limited. Key messages • CVD incidence in Europe between 2000 and 2019 is country-specific changing and very heterogeneous. • Analyses summarizing data for (Western/Eastern) Europe will miss this heterogeneity and might come to invalid conclusions regarding the development of CVD incidence.

An epidemiological update on infective endocarditis: a two-decade retrospective longitudinal analysis

Abstract Background Infective endocarditis (IE) is a rare yet serious condition affecting the heart valves and the endocardium. Despite advances in management, IE's incidence is on the rise, maintaining a mortality rate similar to that of the late 20th century. Notably, there has been a notable shift in the risk-factor profile, transitioning from traditional factors such as rheumatic heart disease and poor dental health to more iatrogenic causes such as prosthetic heart valves, cardiac devices, foreign body implants, haemodialysis, and immunosuppression. This shift impacts microbiological and imaging diagnosis. Purpose While IE has been extensively studied in the past, the evolving landscape prompts an epidemiological re-evaluation of vulnerable patient populations and the challenges in current diagnostic parameters. Our primary objective is to examine the trends in microbiological and imaging diagnostics over two decades and to compare them across native valve endocarditis (NVE), prosthetic valve endocarditis (PVE), and cardiac implantable electronic device-related IE (CIED-IE). Methods We conducted a retrospective analysis of longitudinal data encompassing 912 patients admitted with either a possible or definite IE diagnosis between 2001 and 2023. Results The incidence of IE increased over the study duration (p&amp;lt;0.01) with octogenarians most affected (21%). Iatrogenic risk factors were associated with nearly two-thirds (63%) of patients diagnosed with IE, while traditional risk factors were evident in almost one-eighth (13%). Blood culture-negative endocarditis increased over the study duration (81% versus73%, p&amp;lt;0.01) and Staphylococcus aureus (29%, p&amp;lt;0.01) became the dominant pathogen over Viridans Streptococcus (14%, p=0.001). Imaging with transthoracic (56% in 2004 versus 75% in 2023) and transoesophageal echocardiography (57% in 2004 versus 79% in 2023) had an increasing contribution in the diagnosis of IE over the two decades. The subgroup analysis found PVE and CIED-IE were more likely to have negative blood cultures (OR=3.7, CI [1.2-6.8] &amp; OR=4.9, CI [1.3-8]) compared to NVE (OR=0.04, CI [0.02-0.8]). PVE and CIED-IE were more likely to have inconclusive imaging (OR=3.7, CI [1.2-6.6] &amp; OR=2.2, CI [0.07-7.8]) compared to NVE (OR=0.63, CI [0.3-3.2]). Complications of stroke were higher in PVE (OR=3.5, CI [0.89-10]) compared to NVE which also had a lower stroke rate (OR=.16, CI [.04-.73]). PVE had more valvular insufficiency (OR=2.1, CI [0.6-4]) compared to NVE (OR=1.2, CI [0.9-6]). The 12-month mortality was no different across the entities (OR=0.3, CI [0.5-7.7] &amp; OR=.49, CI [0.14-1.8] &amp; OR=0.85, CI [0.3-2.4]). Conclusion Our study underscores the evolving nature of IE, now predominantly a healthcare-related disease. Diagnostic challenges persist due to the heterogeneity of the disease, with the emergence of distinct entities such as PVE and CIED-IE.Graphs: Blood culture &amp; echocardiographyForest plot: NVE vs PVE vs CIED-IE

Unique regional risk profiles and cardiovascular outcomes of patients with acute coronary syndrome in the absence of standard modifiable risk factors: a systematic review and meta-analysis

Abstract Background With differences in prevalence, risk profile, cardiovascular complications, and mortality of patients with acute coronary syndrome (ACS) in the absence of standard modifiable risk factors (SMuRF-less) worldwide, this study examines the regional differences and the unique risk profiles of this often-understudied group of patients. Purpose We hypothesize that differences in non-traditional risk factor profiles may lead to unique ACS-related presentations, complication rates, and secondary preventative strategies across regions. Hence this study was undertaken to assess the cross-regional comparisons of patient characteristics, risk profile, angiographic characteristics that may provide insights into disparate cardiovascular outcomes observed in the SMuRF-less ACS population. Methods Medline and Embase databases were searched in November 2022 to identify relevant literature relating to the prevalence of risk factors in SMuRF-less patients with ACS. A single-arm meta-analysis of proportion and means was conducted on baseline and presentation characteristics, outcomes and complications, management, and risk factors in SMuRF-less ACS patients, stratified according to geographical region (Asia-Pacific, Europe, and North America). Risk of bias was assessed using the Newcastle-Ottawa scale. Results A total of 25 studies comprising of 1,393,184 individuals with ACS were included, of which 242,929 patients were SMuRF-less. Within this SMuRF-less ACS group, mortality rates were similar across the regions (Asia-Pacific:15.8%, Europe:17.5%, p=0.861), cardiac arrest (6.3%, 95%CI:2.3% to 16.3%, p=0.001) and major bleeding (5.2%, 95%CI:2.9% to 9.2%, p=0.001) were more prevalent in Asia-Pacific, and heart failure more common in Europe (21.7%, 95%CI:18.2% to 25.7%, p&amp;lt;0.001). Prevalence of chronic obstructive lung disease (21.4%, 95%CI:21.2% to 21.6%, p&amp;lt;0.001) and peripheral artery disease (3.8%, 95%CI:3.1% to 4.7%, p=0.001) were highest in SMuRF-less ACS patients from North America, chronic liver disease most prevalent in those from Asia-Pacific (3.5%, 95%CI:2.2% to 5.6%, p&amp;lt;0.001) and family history of coronary artery disease highest in SMuRF-less ACS patients from Europe (25.2%, 95%CI:24.8% to 25.7%, p=0.024). Significantly lower rates of guideline-directed medical therapy prescriptions were observed for SMuRF-less ACS patients in Asia-Pacific compared to other regions. Conclusion This regional analysis highlights the different risk profiles, cardiovascular outcomes, and specific needs of individuals presenting with ACS in the absence of cardiovascular risk factors, across Asia-Pacific, Europe, and North America. Whilst unravelling novel pathomechanistic pathways of atherosclerosis will prove beneficial on a global scale, understanding the unique regional profile of these individuals will aid policymakers strategize effective and tailored clinical pathways in the management of SMuRF-less ACS.Graphical AbstractKey Outcomes

Effect of a cardiovascular post discharge sms support program on healthcare utilisation - the hearthealth program

Abstract Background Cardiovascular disease (CVD) is a leading cause of mortality worldwide[1]. Targeting modifiable risk factors is key to primary and secondary prevention of CVD but many barriers to good risk factor control exist[2]. SMS message programs have shown to be an efficient modality to deliver information to improve knowledge and risk factor profiles for CVD patients[3]; however, their impact on healthcare utilisation has not been thoroughly examined. The HeartHealth program is a text message post-discharge support program delivered to CVD patients. It comprised regular semi-personalised text messages providing CVD information, advice, and support to patients over a 6-month period. Purpose This study aimed to examine the impact of the Heart Health program on healthcare service utilisation. Methods Patients ≥18 years old who recently attended cardiology clinics or were discharged from a cardiology unit, between April 2020 and April 2022 were invited to the program. We compared healthcare utilisation rates in patients who enrolled into the HeartHealth text program (intervention group) to contemporaneous patients who did not enrol in the program (control group). The primary outcome was the incidence rate of all-cause healthcare utilisation events (composite of ED presentations and/or hospital admissions for any medical cause) in the 6 months post-discharge. The secondary outcomes were incidence rates of CVD events and unplanned CVD events. All analyses were adjusted for demographic and co-morbidity variables. Results 11542 patients were included in analysis (intervention: 4324, control: 7218), mean age 58.8 years, 60.7% were male, and 78.3% with English as their preferred language. HeartHealth Intervention participants had lower rates of the primary outcome of healthcare service events compared to control participants (mean number of events 0.43 intervention vs 0.52 control, adjusted rate ratio [RR], 0.91 [95% CI, 0.83-0.99], p=0.033, Table 1). The intervention was significantly more effective in older patients compared to younger patients (RR, 0.82, [95% CI, 0.72-0.93] in patients aged ≥65 years, compared to patients &amp;lt;65 years, RR, 0.98, [95% CI, 0.87-1.10]; p-value for interaction =0.043, Figure 1). The subset of CVD events and unplanned CVD events were numerically lowering in the intervention group compared to the control, but the risk ratio not statistically significantly different in adjusted models (Table 1). Conclusion This analysis demonstrates that a text message post-discharge support program for CVD patients decreased the need for healthcare service utilisation for all medical causes. Future randomised controlled trials are required to further support these findings.Figure 1:Adjusted interaction analysisTable 1:Adjusted Incidence of events

Difference in Risk Factor profile for Abdominal Aortic Aneurysm and Thoracic Aortic Aneurysm

Previous studies suggest partly different risk factor profiles of thoracic aortic aneurysm (TAA) and abdominal aortic aneurysm (AAA), but prospective data are scarce. The purpose of this prospective population-based case-control study was to investigate differences in risk factor profile between TAA and AAA. Participants in two prospective population-based studies, the Västerbotten Intervention Project (VIP) and the Monitoring of Trends and Determinants in Cardiovascular Disease (MONICA) study, between 1986 and 2010 underwent cardiovascular risk assessments, including blood samples, oral glucose tolerance test, blood pressure readings and a self-reported health questionnaire. All individuals who were later diagnosed with TAA or AAA were identified. Age, sex, and time-matched controls were selected from the same cohorts, aiming at four controls / case. Adjusted odds ratios for potential risk factors for later diagnosis of TAA and AAA respectively, were estimated by multivariate conditional logistic regression analyses. From total 96,196 individuals with prospectively collected data in the VIP/MONICA cohort, a total of 236 individuals with AAA (181 men and 55 women) and 935 matched controls, and 168 individuals with TAA (115 men and 53 women) and 662 controls were included. The average age at baseline examination was 57.0 ± 5.7 years for AAA cases and controls, and 52.1 ± 8.8 years for TAA cases and controls. Mean time between baseline examination and diagnosis of AAA/TAA was 12.1 and 11.7 years respectively. There was a clear difference in risk factor profile between AAA and TAA. Smoking, hypertension and coronary artery disease were significantly associated with later diagnosis of AAA with highest adjusted odds ratio for a history of smoking (OR 10.3, 95% CI 6.3-16.8). For TAA, hypertension was the only positive risk factor (OR 1.7, CI 1.1-2.7), while smoking was not associated. Diabetes was not associated with either AAA or TAA, neither was self-reported physical activity. In this prospective population-based case-control study risk factor profile differed between AAA and TAA. This suggests a partially different etiology for TAA and AAA.

Risk Factor Profile of Ischemic Stroke Patients

Aims: To determine the risk factor profile of ischemic stroke patients at the Indonesian Christian University Hospital in the period January 2018-January 2022 Place and Duration of Study: This research was conducted at the Indonesian Christian University Hospital with data collection and research time in July 2022-July 2023. Methodology: The type of research taken for this research is descriptive research with a cross-sectional design. This research collected medical record data from ischemic stroke patients in the period January 2018-January 2022. Later the medical record data was obtained and analyzed to examine the risk factor profile of ischemic stroke patients at the Indonesian Christian University Hospital. The population used in this study were patients suffering from ischemic stroke who came to the Indonesian Christian University Hospital in the period January 2018-January 2022. The sampling technique used a total sampling technique where the amount of medical record data is the same as the number of samples used for research. Results: The results showed that the most dominant age ≥61 years with a total of 42 patients (64.4%), the most dominant sex was male with 35 patients (53.8%), ischemic stroke patients worked 38 patients (68.5%), the most dominant risk factor was hypertension with 62 patients (95.4%), the obesity risk factor with 48 patients (73.8%), risk factor for the history of heart disease with a total of 35 patients (53.8%), smoking risk factors for 33 patients (50.8%), risk factors for not having diabetes mellitus for 36 patients (55.4%), risk factors for not having dyslipidemia for 36 patients (55.4%) and risk factors for having normal uric acid levels for 43 patients (66.2%) Conclusion: From the research results it can be concluded that the Risk Factor Profile of Ischemic Stroke Patients at the Indonesian Christian University Hospital in The period January 2018-January 2022 includes gender which is dominated by men with worker group status. The most common risk factor suffered by ischemic stroke patients is the risk factor of hypertension.

Traditional and non-traditional cardiovascular risk factor profiles in young patients with coronary artery disease

Study objectiveThere is an increasing trend in myocardial infarction (MI) hospitalizations in young individuals. The prevalence of modifiable cardiovascular risk factors is high in this population. This study aims to assess the prevalence of traditional and non-traditional cardiovascular risk factors among young patients with coronary artery disease (CAD) including novel lipid and dietary biomarkers with a focus on potential gender differences. DesignThe Young Heart study is a prospective, single-center pilot cohort study. Baseline data included medical history, medications, and lifestyle factors. We also collected blood samples for lipid profile, lipoprotein (a), high-sensitivity C-reactive protein (hsCRP), and trimethylamine N-oxide (TMAO). ParticipantsA total of 60 patients aged <60 years with CAD (on coronary CT or invasive angiogram) were included in the study. ResultsThe median age was 51 years and predominantly male (70 %). Baseline assessment revealed a high prevalence of hypertension (76.7 %), hyperlipidemia (91.7 %), and obstructive CAD (88.3 %). 36.7 % had diabetes, 28.3 % had prediabetes, and 38.3 % had prior MI. Uncontrolled risk factors were prevalent, including increased waist circumference (54.6 %), metabolic syndrome (60.0 %), and LDL ≥70 mg/dL (47.5 %), Lp(a) ≥75 nmol/L (47.5 %). Furthermore, 41.7 % had hsCRP ≥2 mg/L, and 28.3 % had suboptimal TMAO levels. 70.0 % of patients were on guideline-directed doses of statins. ConclusionYoung patients with CAD demonstrated a substantial burden of traditional and non-traditional cardiovascular risk factors. The study findings highlight the need for targeted interventions to improve risk factor control and optimize lifestyle behaviors. Further investigation is warranted to assess the impact of these interventions on cardiovascular outcomes.

Cluster-Based White Matter Signatures and the Risk of Dementia, Stroke, and Mortality in Community-Dwelling Adults.

Markers of white matter (WM) injury on brain MRI are important indicators of brain health. Different patterns of WM atrophy, WM hyperintensities (WMHs), and microstructural integrity could reflect distinct pathologies and disease risks, but large-scale imaging studies investigating WM signatures are lacking. This study aims to identify distinct WM signatures using brain MRI in community-dwelling adults, determine underlying risk factor profiles, and assess risks of dementia, stroke, and mortality associated with each signature. Between 2005 and 2016, we measured WMH volume, WM volume, fractional anisotropy (FA), and mean diffusivity (MD) using automated pipelines on structural and diffusion MRI in community-dwelling adults aged older than 45 years of the Rotterdam study. Continuous surveillance was conducted for dementia, stroke, and mortality. We applied hierarchical clustering to identify separate WM injury clusters and Cox proportional hazard models to determine their risk of dementia, stroke, and mortality. We included 5,279 participants (mean age 65.0 years, 56.0% women) and identified 4 distinct data-driven WM signatures: (1) above-average microstructural integrity and little WM atrophy and WMH; (2) above-average microstructural integrity and little WMH, but substantial WM atrophy; (3) poor microstructural integrity and substantial WMH, but little WM atrophy; and (4) poor microstructural integrity with substantial WMH and WM atrophy. Prevalence of cardiovascular risk factors, lacunes, and cerebral microbleeds was higher in clusters 3 and 4 than in clusters 1 and 2. During a median 10.7 years of follow-up, 291 participants developed dementia, 220 had a stroke, and 910 died. Compared with cluster 1, dementia risk was increased for all clusters, notably cluster 3 (hazard ratio [HR] 3.06, 95% CI 2.12-4.42), followed by cluster 4 (HR 2.31, 95% CI 1.58-3.37) and cluster 2 (HR 1.67, 95% CI 1.17-2.38). Compared with cluster 1, risk of stroke was higher only for clusters 3 (HR 1.55, 95% CI 1.02-2.37) and 4 (HR 1.94, 95% CI 1.30-2.89), whereas mortality risk was increased in all clusters (cluster 2: HR 1.27, 95% CI 1.06-1.53, cluster 3: HR 1.65, 95% CI 1.35-2.03, cluster 4: HR 1.76, 95% CI 1.44-2.15), compared with cluster 1. Models including clusters instead of an individual imaging marker showed a superior goodness of fit for dementia and mortality, but not for stroke. Clustering can derive WM signatures that are differentially associated with dementia, stroke, and mortality risk. Future research should incorporate spatial information of imaging markers.

A prospective cohort study investigating the association between type 2 diabetes and subsequent cardiovascular events in patients with different blood pressure, HbA1c, and lipid levels.

Globally, there has been a steady increase in the prevalence of type 2 diabetes, and the risk of cardiovascular disease has increased. The relationship between diabetes and the incidence of cardiovascular disease (CVD) at different blood pressure, glycated haemoglobin A1c (HbA1c), and lipid levels remains uncertain. This study aimed to investigate these associations within a population-based cohort. We analysed data from the Guiyang subcentre of the China Cardiometabolic Disease and Cancer Cohort Study, which enrolled participants aged 40 years and older between 2011 and 2012. Subsequently, a follow-up visit was conducted during 2014-2016 to assess incident CVD events. The analysis included a cohort of 7197 adults, of whom 590 were diagnosed with diabetes. Among all the participants, the CVD events linked to diabetes had a multivariable adjusted hazard ratio of 2.37 [95% confidence intervals (CI): 1.38-4.08]. Patients with diabetes had a greater risk of experiencing CVD events if they had high blood pressure [hazard ratios (HR): 1.24, 95% CI: 1.39-4.21] and high lipid levels (HR: 2.19, 95% CI: 1.29-3.70) compared to people with normal blood pressure (HR: 1.23, 95% CI: 0.54-2.82) and lipid levels (HR: 1.26, 95% CI: 0.47-3.41). Our analysis revealed a significant association between diabetes and an increased risk of subsequent CVD events, which can be mitigated through optimal management of the metabolic profile of cardiovascular risk factors.

A Chart Review for Epidemiology and Outcome of Fungal Bloodstream Infections Among Neonates in a Tertiary Care Hospital at North India

Background and Aims The risk of fungal bloodstream infection (BSI) and accompanying mortality in neonates varies widely in between centres depending on the region, the population characteristics and the risk factors. Methods This chart review of neonatal cases with fungal BSI admitted in a tertiary care teaching hospital in North India aimed to comprehensively investigate the epidemiology, profile of fungal species (and their susceptibility to various antifungal agents), risk factors, clinical profile and outcomes in these neonates. The study spanned over a one-year period, from September 2022 to August 2023, included all symptomatic neonates with positive blood cultures for fungal pathogen. Results Over one year, 24 out of 1,174 neonates at risk were diagnosed with fungal BSI, with a cumulative risk of 2.0 per 100 neonates. A peak in cases occurred in February. Candida pelliculosa was the predominant species (75% of isolates), while Candida albicans constituted 4.2%. Most isolates were sensitive to fluconazole, except for some fluconazole-resistant Candida pelliculosa (5.5%) and Candida tropicalis (25.0%), which remained susceptible to amphotericin-B and voriconazole. Around 60% of neonates were preterm, 40% had very low birth weight and 37% were small for gestational age. Nearly all had received prior broad-spectrum antibiotics, with 92% receiving prolonged courses over five days. Respiratory support, including intubation and mechanical ventilation, was used in 83% before onset of fungal sepsis. Intriguingly, all neonates had some invasive device in place for more than seven days. Mortality rate of 25% was observed, with preterm birth and gastrointestinal anomalies contributing to adverse outcomes. Conclusions This study confirms the ongoing shift in trend from albicans to non-albicans Candida infections in our region as well. A seasonal peak of fungal sepsis noted in the month of February hinted at potential seasonal variation or lapses in infection control practices during colder months. The analysis of trends in fungal BSI might hold a significance within neonatal intensive care units (NICUs) for the prompt detection of outbreaks. Simultaneously, understanding and analysing risk factors associated with fungal BSI are essential for targeted prevention.