Barriers to healthcare access and experiences of stigma: Findings from a coproduced Long Covid case-finding study.

BACKGROUND AND AIM: Long Covid is often stigmatised, particularly in people who are disadvantaged within society. This may prevent them from seeking help and could lead to widening health inequalities. This coproduced study with a Community Advisory Board (CAB) of people with Long Covid aimed to understand healthcare and wider barriers and stigma experienced by people with probable Long Covid. METHODS: An active case finding approach was employed to find adults with probable, but not yet clinically diagnosed, Long Covid in two localities in London (Camden and Merton) and Derbyshire, England. Interviews explored the barriers to care and the stigma faced by participants and were analysed thematically. This study forms part of the STIMULATE-ICP Collaboration. FINDINGS: Twenty-three interviews were completed. Participants reported limited awareness of what Long Covid is and the available pathways to management. There was considerable self-doubt among participants, sometimes reinforced by interactions with healthcare professionals (HCPs). Participants questioned their deservedness in seeking healthcare support for their symptoms. Hesitancy to engage with healthcare services was motivated by fear of needing more investigation and concerns regarding judgement about the ability to carry out caregiving responsibilities. It was also motivated by the complexity of the clinical presentation and fear of all symptoms being attributed to poor mental health. Participants also reported trying to avoid overburdening the health system. These difficulties were compounded by experiences of stigma and discrimination. The emerging themes reaffirmed a framework of epistemic injustice in relation to Long Covid, where creating, interpreting and conveying knowledge has varied credibility based on the teller's identity characteristics and/or the level of their interpretive resources. CONCLUSION: We have codeveloped recommendations based on the findings. These include early signposting to services, dedicating protected time to listening to people with Long Covid, providing a holistic approach in care pathways, and working to mitigate stigma. Regardless of the diagnosis, people experiencing new symptoms must be encouraged to seek timely medical help. Clear public health messaging is needed among communities already disadvantaged by epistemic injustice to raise awareness of Long Covid, and to share stories that encourage seeking care and to illustrate the adverse effects of stigma. PATIENT OR PUBLIC CONTRIBUTION: This study was coproduced with a CAB made up of 23 members including HCPs, people with lived experience of Long Covid and other stakeholders.

Design, implementation and evaluation of a spiral module combining data science, digital health and evidence-based medicine in the undergraduate medical curriculum: a mixed methods study.

BACKGROUND: Digital health, data science and health informatics are increasingly important in health and healthcare, but largely ignored in undergraduate medical training. METHODS: In a large UK medical school, with staff and students, we co-designed a new, "spiral" module (with iterative revisiting of content), covering data science, digital health and evidence-based medicine, implementing in September 2019 in all year groups with continuous evaluation and improvement until 2022. RESULTS: In 2018/19, a new module, "Doctor as Data Scientist", was co-designed by academic staff(n=14), students(n=23), and doctors(n=7). The module involves 22 staff, 120 hours(43 sessions: 22 lectures, 15 group and 6 other) over a 5-year curriculum. Since September 2019, 5200 students have been taught with good attendance. Module student satisfaction ratings were 92%, 84%, 84% and 81% in 2019, 2020, 2021 and 2022 respectively, compared to the overall course(81%). CONCLUSIONS: We designed, implemented and evaluated a new undergraduate medical curriculum that combined data science and digital health with high student satisfaction ratings.

Indirect impact of the war in Ukraine on primary percutaneous coronary interventions for ST-elevation myocardial infarction in Poland.

INTRODUCTION: The Russian invasion of Ukraine in February 2022 resulted in the displacement of approximately 12.5 million refugees to adjacent countries including Poland, that may have strained healthcare service delivery. OBJECTIVES: Using the ST-elevation myocardial infarction (STEMI) data, we aimed to evaluate whether the Russian invasion of Ukraine has indirectly impacted the delivery of acute cardiovascular care in Poland. PATIENTS AND METHODS: We analyzed all adult patients undergoing percutaneous coronary interventions (PCI) for STEMI across Poland between 25th February 2017 to 24th May 2022. Centers were allocated to regions of <100km and >100km of the Polish-Ukraine border. Mixed effect generalized linear regression models with random effects per hospital were used to explore the associations between the war in Ukraine starting with several outcomes of interest, and whether these associations differed across regions of 100km from the Polish-Ukraine border. RESULTS: A total of 90,115 procedures were included in the analysis. The average number of procedures per-month was similar to predicted volume for centers in the >100km region, while the average number of PCI was higher than expected (by an estimated 15 (11-19)) for the <100km region. There was no difference in adjusted fatality rate or quality of care outcomes pre- vs. during-war in both <100 and >100 km regions, with no evidence of a difference-in-difference across regions. CONCLUSIONS: Following the Russian invasion of Ukraine, there was only a modest and temporary increase in primary PCI predominantly in centers situated within 100km of the border, although no significant impact on in-hospital fatality rate.

Disparities by social determinants of health: links between Long COVID and cardiovascular disease.

Long COVID has been defined by World Health Organization as "continuation or development of new symptoms 3 months after the initial SARS-CoV-2 infection, with these symptoms lasting for at least 2 months with no other explanation". Cardiovascular disease is implicated as a risk factor, concomitant condition and consequence of Long COVID. As well as heterogeneity in definition, presentation and likely underlying pathophysiology of Long COVID, disparities by social determinants of health, extensively studied and described in cardiovascular disease, have been observed in three ways. First, underlying long-term conditions, such as cardiovascular disease and its risk factors, are associated with incidence and severity of Long COVID, and previously described socioeconomic disparities in these factors are important in exacerbating disparities in Long COVID. Second, socioeconomic disparities in management of COVID-19 may themselves lead to distal disparities in Long COVID. Third, there are socioeconomic disparities in the way that Long COVID is diagnosed, managed and prevented. Together, factors such as age, sex, deprivation and ethnicity have far-reaching implications in this new post-viral syndrome across its management spectrum. There are similarities and differences compared with disparities for cardiovascular disease. Some of these disparities are in fact, inequalities, i.e. rather than simply observed variations, they represent injustices with costs to individuals, communities and economies. In this review of current literature, I consider opportunities to prevent, or at least, attenuate these socioeconomic disparities in Long COVID and cardiovascular disease, with special challenges for research, clinical practice, public health and policy in a new disease which is evolving.

Prevalence of mental health conditions and brain fog in people with long COVID: A systematic review and meta-analysis.

OBJECTIVE: Long COVID can include impaired cognition ('brain fog'; a term encompassing multiple symptoms) and mental health conditions. We performed a systematic review and meta-analysis to estimate their prevalence and to explore relevant factors associated with the incidence of impaired cognition and mental health conditions. METHODS: Searches were conducted in Medline and PsycINFO to cover the start of the pandemic until August 2023. Included studies reported prevalence of mental health conditions and brain fog in adults with long COVID after clinically-diagnosed or PCR-confirmed SARS-CoV-2 infection. FINDINGS: 17 studies were included, reporting 41,249 long COVID patients. Across all timepoints (3-24 months), the combined prevalence of mental health conditions and brain fog was 20·4% (95% CI 11·1%-34·4%), being lower among those previously hospitalised than in community-managed patients(19·5 vs 29·7% respectively; p = 0·047). The odds of mental health conditions and brain fog increased over time and when validated instruments were used. Odds of brain fog significantly decreased with increasing vaccination rates (p = ·000). CONCLUSIONS: Given the increasing prevalence of mental health conditions and brain fog over time, preventive interventions and treatments are needed. Research is needed to explore underlying mechanisms that could inform further research in development of effective treatments. The reduced risk of brain fog associated with vaccination emphasizes the need for ongoing vaccination programs.

Socioeconomic and ethnic disparities in the process of care and outcomes among cancer patients with acute coronary syndrome.

Cancer and acute coronary syndrome (ACS) are the leading causes of morbidity and mortality globally, with many shared risk factors between both conditions. There are several challenges to the management of patients with cancer presenting with ACS due to their higher baseline risk profile, the complexities of their cancer-related therapies and prognosis, and their higher risk of adverse outcomes after ACS. Although previous studies have demonstrated disparities in the care of both cancer and ACS among patients from ethnic minorities and socioeconomic deprivation, there is limited evidence around the magnitude of such disparities specifically in cancer patients presenting with ACS. This review summarises the current literature on differences in prevalence and management of ACS among patients with cancer from ethnic minorities and socioeconomically deprived backgrounds, as well as the gaps in evidence around the care of this high-risk population and their potential solutions.

Nicotine and Cardiovascular Health: When Poison is Addictive - a WHF Policy Brief.

Nicotine is universally recognized as the primary addictive substance fuelling the continued use of tobacco products, which are responsible for over 8 million deaths annually. In recent years, the popularity of newer recreational nicotine products has surged drastically in many countries, raising health and safety concerns. For decades, the tobacco industry has promoted the myth that nicotine is as harmless as caffeine. Nonetheless, evidence shows that nicotine is far from innocuous, even on its own. In fact, numerous studies have demonstrated that nicotine can harm multiple organs, including the respiratory and cardiovascular systems. Tobacco and recreational nicotine products are commercialized in various types and forms, delivering varying levels of nicotine along with other toxic compounds. These products deliver nicotine in profiles that can initiate and perpetuate addiction, especially in young populations. Notably, some electronic nicotine delivery systems (ENDS) and heated tobacco products (HTP) can deliver concentrations of nicotine that are comparable to those of traditional cigarettes. Despite being regularly advertised as such, ENDS and HTP have demonstrated limited effectiveness as tobacco cessation aids in real-world settings. Furthermore, ENDS have also been associated with an increased risk of cardiovascular disease. In contrast, nicotine replacement therapies (NRT) are proven to be safe and effective medications for tobacco cessation. NRTs are designed to release nicotine in a slow and controlled manner, thereby minimizing the potential for abuse. Moreover, the long-term safety of NRTs has been extensively studied and documented. The vast majority of tobacco and nicotine products available in the market currently contain nicotine derived from tobacco leaves. However, advancements in the chemical synthesis of nicotine have introduced an economically viable alternative source. The tobacco industry has been exploiting synthetic nicotine to circumvent existing tobacco control laws and regulations. The emergence of newer tobacco and recreational nicotine products, along with synthetic nicotine, pose a tangible threat to established tobacco control policies. Nicotine regulations need to be responsive to address these evolving challenges. As such, governments should regulate all tobacco and non-medical nicotine products through a global, comprehensive, and consistent approach in order to safeguard tobacco control progress in past decades.

Sex-Based Disparities in Acute Myocardial Infarction Treatment Patterns and Outcomes in Older Adults Hospitalized Across 6 High-Income Countries: An Analysis From the International Health Systems Research Collaborative.

BACKGROUND: Sex differences in acute myocardial infarction treatment and outcomes are well documented, but it is unclear whether differences are consistent across countries. The objective of this study was to investigate the epidemiology, use of interventional procedures, and outcomes for older females and males hospitalized with ST-segment-elevation myocardial infarction (STEMI) and non-ST-segment-elevation myocardial infarction (NSTEMI) in 6 diverse countries. METHODS: We conducted a serial cross-sectional cohort study of 1 508 205 adults aged ≥66 years hospitalized with STEMI and NSTEMI between 2011 and 2018 in the United States, Canada, England, the Netherlands, Taiwan, and Israel using administrative data. We compared females and males within each country with respect to age-standardized hospitalization rates, rates of cardiac catheterization, percutaneous coronary intervention, and coronary artery bypass graft surgery within 90 days of hospitalization, and 30-day age- and comorbidity-adjusted mortality. RESULTS: Hospitalization rates for STEMI and NSTEMI decreased between 2011 and 2018 in all countries, although the hospitalization rate ratio (rate in males/rate in females) increased in virtually all countries (eg, US STEMI ratio, 1.58:1 in 2011 and 1.73:1 in 2018; Israel NSTEMI ratio, 1.71:1 in 2011 and 2.11:1 in 2018). Rates of cardiac catheterization, percutaneous coronary intervention, and coronary artery bypass graft surgery were lower for females than males for STEMI in all countries and years (eg, US cardiac catheterization in 2018, 88.6% for females versus 91.5% for males; Israel percutaneous coronary intervention in 2018, 76.7% for females versus 84.8% for males) with similar findings for NSTEMI. Adjusted mortality for STEMI in 2018 was higher for females than males in 5 countries (the United States, Canada, the Netherlands, Israel, and Taiwan) but lower for females than males in 5 countries for NSTEMI. CONCLUSIONS: We observed a larger decline in acute myocardial infarction hospitalizations for females than males between 2011 and 2018. Females were less likely to receive cardiac interventions and had higher mortality after STEMI. Sex disparities seem to transcend borders, raising questions about the underlying causes and remedies.

Ethnicity data resource in population-wide health records: completeness, coverage and granularity of diversity.

Intersectional social determinants including ethnicity are vital in health research. We curated a population-wide data resource of self-identified ethnicity data from over 60 million individuals in England primary care, linking it to hospital records. We assessed ethnicity data in terms of completeness, consistency, and granularity and found one in ten individuals do not have ethnicity information recorded in primary care. By linking to hospital records, ethnicity data were completed for 94% of individuals. By reconciling SNOMED-CT concepts and census-level categories into a consistent hierarchy, we organised more than 250 ethnicity sub-groups including and beyond "White", "Black", "Asian", "Mixed" and "Other, and found them to be distributed in proportions similar to the general population. This large observational dataset presents an algorithmic hierarchy to represent self-identified ethnicity data collected across heterogeneous healthcare settings. Accurate and easily accessible ethnicity data can lead to a better understanding of population diversity, which is important to address disparities and influence policy recommendations that can translate into better, fairer health for all.

BATMAN: Improved T cell receptor cross-reactivity prediction benchmarked on a comprehensive mutational scan database.

Predicting T cell receptor (TCR) activation is challenging due to the lack of both unbiased benchmarking datasets and computational methods that are sensitive to small mutations to a peptide. To address these challenges, we curated a comprehensive database encompassing complete single amino acid mutational assays of 10,750 TCR-peptide pairs, centered around 14 immunogenic peptides against 66 TCRs. We then present an interpretable Bayesian model, called BATMAN, that can predict the set of peptides that activates a TCR. When validated on our database, BATMAN outperforms existing methods by 20% and reveals important biochemical predictors of TCR-peptide interactions.

Challenges in Clinical Research in Low and Middle Income Countries: Early Career Cardiologists' Perspective.

Despite a growing burden of cardiovascular diseases (CVDs) in Low and Middle Income Countries (LMICs), there remain significant barriers to researchers living in these countries regarding the initiation, progression and completion of research. These obstacles are multifactorial, ranging from a lack of general incentives, national and institutional initiatives and capacity, limited opportunities for funding, and lack of mentorship and support for the presentation and publication of research. In this perspective piece, we highlight some of the challenges we have observed from our experience as early career cardiologists in LMICs and present some potential solutions to address these issues.

Sociodemographic and health-related differences in undiagnosed hypertension in the health survey for England 2015-2019: a cross-sectional cohort study.

Background: Hypertension is a leading cause of morbidity and mortality worldwide, yet a substantial proportion of cases are undiagnosed. Understanding the scale of undiagnosed hypertension and identifying groups most at risk is important to inform approaches to detection. Methods: In this cross-sectional cohort study, we used data from the 2015 to 2019 Health Survey for England, an annual, cross-sectional, nationally representative survey. The survey follows a multi-stage stratified probability sampling design, involving a random sample of primary sampling units based on postcode sectors, followed by a random sample of postal addresses within these units. Within each selected household, all adults (aged ≥16 years) and up to four children, were eligible for participation. For the current study, individuals aged 16 years and over who were not pregnant and had valid blood pressure data were included in the analysis. The primary outcome was undiagnosed hypertension, defined by a measured blood pressure of 140/90 mmHg or above but no history of diagnosis. Age-adjusted prevalence of undiagnosed hypertension was estimated across sociodemographic and health-related characteristics, including ethnicity, region, rural-urban classification, relationship status, highest educational qualification, National Statistics Socio-Economic Classification (NS-SEC), Body Mass Index (BMI), self-reported general health, and smoking status. To assess the independent association between undiagnosed hypertension and each characteristic, we fitted a logistic regression model adjusted for sociodemographic factors. Findings: The sample included 21,476 individuals, of whom 55.8% were female and 89.3% reported a White ethnic background. An estimated 30.7% (95% confidence interval 29.0-32.4) of men with hypertension and 27.6% (26.1-29.1) of women with hypertension were undiagnosed. Younger age, lower BMI, and better self-reported general health were associated with an increased likelihood of hypertension being undiagnosed for men and women. Living in rural areas and in regions outside of London and the East of England were also associated with an increased likelihood of hypertension being undiagnosed for men, as were being married or in a civil partnership and having higher educational qualifications for women. Interpretation: Hypertension is commonly undiagnosed, and some of the groups that are at the lowest risk of hypertension are the most likely to be undiagnosed. Given the high lifetime risk of hypertension and its strong links with morbidity and mortality, our findings suggest a need for greater awareness of the potential for undiagnosed hypertension, including among those typically considered 'low risk'. Further research is needed to assess the impact of extending hypertension screening to lower-risk groups. Funding: None.

Understanding ethnic inequalities in the design and implementation of digital health interventions for cardiometabolic disease: a qualitative study.

BACKGROUND: The use of digital health interventions (DHIs), such as apps and wearable devices, for prevention and management of cardiometabolic disease, has been accelerated by the impact of COVID-19 on health-care services. Digital inequalities disproportionately affect those most at risk of wider health inequalities (e.g., older age, minority ethnicity, and lower household income) and might intersect with populations with higher cardiometabolic disease risk such as South Asians in the UK. We wanted to understand how those involved in DHI implementation perceive and address these inequalities, to help develop recommendations to reduce the risk of DHI implementation exacerbating existing health inequalities. METHODS: For this qualitative study we used a purposive sampling strategy, whereby focus groups and semi-structured interviews were done online between April 7 and Dec 8, 2022, with stakeholders, including health-care professionals (n=15); technology developers and digital experts (n=10); those in strategy, evaluation, or policy roles (n=15); and charities (n=4). Discussions covered barriers and facilitators to inclusive design and implementation of DHIs, with focus dependent on expertise. Findings from a qualitative study with South Asian patients have been reported separately. Audio recordings were transcribed and coded using reflexive thematic analysis. Participants provided written consent and the study received NHS Health Research Authority approval from London - Brent Research Ethics Committee (IRAS 261047). FINDINGS: Participants had a good understanding of barriers to DHI use for cardiometabolic disease faced by South Asians, highlighting the need to design for language, culture, and diet. Many emphasised the link between digital exclusion and socioeconomic deprivation, across all ethnic groups in the UK. The potential for DHIs in improving patient outcomes was recognised; however, equity concerns included unequal patient access, lack of data and resources to target support, and need for quality evidence to recommend and commission digital tools. A range of solutions for improving equity were suggested such as resourcing support for digital upskilling, community engagement, and the role of regulation in embedding improved design and evaluation of DHIs available through health-care services. INTERPRETATION: This study reflects the experiences of professionals interested in (digital) health inequalities. However, challenges to equitable digital health implementation and use are well described. Our findings present multi-sectoral responsibilities and opportunities for action. FUNDING: National Institute for Health and Care Research (NIHR).

Intracoronary imaging guided percutaneous coronary intervention outcomes among individuals with cardiogenic shock.

BACKGROUND: Limited data exist around the utility of intracoronary imaging (ICI) during percutaneous coronary intervention (PCI) in patients with acute coronary syndrome (ACS) and cardiogenic shock (CS), who are inherently at a high risk of stent thrombosis (ST). METHODS: All PCI procedures for ACS patients with CS in England and Wales between 2014 and 2020 were retrospectively analysed, stratified into two groups: ICI and angiography-guided groups. Multivariable logistic regression analyses were performed to examine odds ratios (OR) of in-hospital outcomes, including major adverse cardiovascular and cerebrovascular events (MACCE; composite of all-cause mortality, acute stroke/transient ischaemic attack (TIA), and reinfarction) and major bleeding, in the ICI-guided group compared with angiography-guided PCI. RESULTS: Of 15,738 PCI procedures, 1240(7.9%) were ICI-guided. The rate of ICI use amongst those with CS more than doubled from 2014 (5.7%) to 2020 (13.3%). The ICI-guided group were predominantly younger, males, with a higher proportion of non-ST-elevation ACS and ST. MACCE was significantly lower in the ICI-guided group compared with the angiography-guided group (crude: 29.8% vs. 38.2%, adjusted odds ratio (OR) 0.65 95% confidence interval [CI] 0.56-0.76), driven by lower all-cause mortality (28.6% vs. 37.0%, OR 0.65 95% CI 0.55-0.75). There were no differences in other secondary outcomes between groups. CONCLUSION: ICI use among CS patients has more than doubled over 6 years but remains significantly under-utilized, with less than 1-in-6 patients in receipt of ICI-guided PCI by 2020. ICI-guided PCI is associated with prognostic benefits in CS patients and should be more frequently utilized to increase their long-term survival.

Estimation of non-health gross domestic product (NHGDP) loss due to COVID-19 deaths in West Bengal, India.

OBJECTIVES: The state of West Bengal witnessed a significant surge of COVID-19 in all three waves. However, there is a gap in understanding the economic loss associated with COVID-19. This study estimates future non-health gross domestic product (NHGDP) losses associated with COVID-19 deaths in West Bengal, India. SETTING: Various open domains were used to gather data on COVID-19 deaths in West Bengal and the aforementioned estimates. PRIMARY AND SECONDARY OUTCOME MEASURES: The NHGDP losses were evaluated using the cost-of-illness approach. Future NHGDP losses were discounted at 3%. Excess death estimates by the WHO and Global Burden of Disease (GBD) were used. Sensitivity analysis was carried out by varying discount rates and average age of death (AAD). RESULTS: 21 532 deaths in West Bengal from 17 March 2020 to 31 December 2022 decreased the future NHGDP by $0.92 billion. Nearly 90% of loss was due to deaths occurring in the age group of 30 years and above. Majority of the NHGDP loss was borne by the 46-60 years age group. NHGDP loss/death was $55,171; however, the average loss/death declined with rise in age. Based on the GBD and WHO excess death estimates, the NHGDP loss increased to $9.38 billion and $9.42 billion, respectively. When the lower age interval is considered as AAD, the NHGDP loss increased to $1.3 billion. At 5% and 10% discount rates, the losses reduced to $0.767 billion and $0.549 billion, respectively. CONCLUSIONS: Results from the study suggest that COVID-19 contributed to a major economic loss in West Bengal. The mortality and morbidity caused by COVID-19, the substantial economic costs at individual and population levels in West Bengal, and probably across India and other countries, is another economic argument for better infection control strategies across the globe to minimise the impact of COVID-19.

Impact of Social Vulnerability on Diabetes-Related Cardiovascular Mortality in the United States.

Background Social vulnerability impacts the natural history of diabetes as well as cardiovascular disease (CVD). However, there are little data regarding the social vulnerability association with diabetes-related CVD mortality. Methods and Results County-level mortality data (where CVD was the underlying cause of death with diabetes among the multiple causes) extracted from the Centers for Disease Control multiple cause of death (2015-2019) and the 2018 Social Vulnerability Index databases were aggregated into quartiles based on their Social Vulnerability Index ranking from the least (first quartile) to the most vulnerable (fourth quartile). Stratified by demographic groups, the data were analyzed for overall CVD, as well as for ischemic heart disease, hypertensive disease, heart failure, and cerebrovascular disease. In the 5-year study period, 387 139 crude diabetes-related cardiovascular mortality records were identified. The age-adjusted mortality rate for CVD was higher in the fourth quartile compared with the first quartile (relative risk [RR], 1.66 [95% CI, 1.64-1.67]) with an estimated 39 328 excess deaths. Among the youngest age group (<55 years), those with the highest social vulnerability had 2 to 4 times the rate of cardiovascular mortality compared with the first quartile: ischemic heart disease (RR, 2.07 [95% CI, 1.97-2.17]; heart failure (RR, 3.03 [95% CI, 2.62-3.52]); hypertensive disease (RR, 3.79 [95% CI, 3.45-4.17]; and cerebrovascular disease (RR, 4.39 [95% CI, 3.75-5.13]). Conclusions Counties with greater social vulnerability had higher diabetes-related CVD mortality, especially among younger adults. Targeted health policies that are designed to reduce these disparities are warranted.