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Cardiovascular diseases (CVDs) remain the leading cause of death and disability worldwide. Digital health technologies are important public health interventions for addressing the burden of cardiovascular disease. In this article, we discuss the importance of translating digital innovations in research‐funded projects to low‐resource settings globally to advance global cardiovascular health equity. We also discuss current global cardiovascular health inequities and the digital health divide within and between countries. We present various considerations for translating digital innovations across different settings across the globe, including reciprocal innovation, a “bidirectional, co‐constituted, and iterative exchange of ideas, resources, and innovations to address shared health challenges across diverse global settings.” In this case, afferent reciprocal innovations may flow from high‐income countries toward low‐ and middle‐income countries, and efferent reciprocal innovations may be exported to high‐income countries from low‐ and middle‐income countries with adaptation. Finally, we discuss opportunities for bidirectional learning between local and global institutions and highlight examples of projects funded through the American Heart Association Health and Innovation Strategically Funded Research Network that have been adapted to lower‐resource settings or have the potential to be adapted to lower‐resource settings.

Background Heart failure disproportionately affects individuals residing in rural areas, leading to worse health outcomes. Digital health interventions have been proposed as a promising approach for improving heart failure management. This systematic review aims to identify randomized trials of digital health interventions for individuals living in underserved rural areas with heart failure. Methods and Results We conducted a systematic review by searching 6 databases (CINAHL, EMBASE, MEDLINE, Web of Science, Scopus, and PubMed; 2000–2023). A total of 30 426 articles were identified and screened. Inclusion criteria consisted of digital health randomized trials that were conducted in underserved rural areas of the United States based on the US Census Bureau's classification. Two independent reviewers screened the studies using the National Heart, Lung, and Blood Institute tool to evaluate the risk of bias. The review included 5 trials from 6 US states, involving 870 participants (42.9% female). Each of the 5 studies employed telemedicine, 2 studies used remote monitoring, and 1 study used mobile health technology. The studies reported improvement in self‐care behaviors in 4 trials, increased knowledge in 2, and decreased cardiovascular mortality in 1 study. However, 3 trials revealed no change or an increase in health care resource use, 2 showed no change in cardiac biomarkers, and 2 demonstrated an increase in anxiety. Conclusions The results suggest that digital health interventions have the potential to enhance self‐care and knowledge of patients with heart failure living in underserved rural areas. However, further research is necessary to evaluate their impact on clinical outcomes, biomarkers, and health care resource use. Registration URL: https://www.crd.york.ac.uk/prospero/; Unique identifier: CRD42022366923.

Background Biomarkers of myocardial stress and fibrosis are elevated in people living with HIV and are associated with cardiac dysfunction. It is unknown whether sex influences these markers of heart failure risk in sub‐Saharan Africa, where HIV burden is high and where the vast majority of women with HIV live. Methods and Results Echocardiograms and 6 plasma biomarkers (suppression of tumorigenicity‐2, growth differentiation factor 15, galectin 3, soluble fms‐like tyrosine kinase‐1, NT‐proBNP [N‐terminal pro‐B‐type natriuretic peptide], and cystatin C) were obtained from 100 people living with HIV on antiretroviral therapy and 100 HIV‐negative controls in Uganda. All participants were ≥45 years old with ≥1 major cardiovascular risk factor. Multivariable linear and logistic regression models were used to assess associations between biomarkers, echocardiographic variables, HIV status, and sex, and to assess whether sex modified these associations. Overall, mean age was 56 years and 62% were women. Suppression of tumorigenicity‐2 was higher in men versus women (P

Background Despite the high burden of rheumatic heart disease in sub‐Saharan Africa, diagnosis with acute rheumatic fever (ARF) is exceedingly rare. Here, we report the results of the first prospective epidemiologic survey to diagnose and characterize ARF at the community level in Africa. Methods and Results A cross‐sectional study was conducted in Lira, Uganda, to inform the design of a broader epidemiologic survey. Key messages were distributed in the community, and children aged 3 to 17 years were included if they had either (1) fever and joint pain, (2) suspicion of carditis, or (3) suspicion of chorea, with ARF diagnoses made by the 2015 Jones Criteria. Over 6 months, 201 children met criteria for participation, with a median age of 11 years (interquartile range, 6.5) and 103 (51%) female. At final diagnosis, 51 children (25%) had definite ARF, 11 (6%) had possible ARF, 2 (1%) had rheumatic heart disease without evidence of ARF, 78 (39%) had a known alternative diagnosis (10 influenza, 62 malaria, 2 sickle cell crises, 2 typhoid fever, 2 congenital heart disease), and 59 (30%) had an unknown alternative diagnosis. Conclusions ARF persists within rheumatic heart disease–endemic communities in Africa, despite the low rates reported in the literature. Early data collection has enabled refinement of our study design to best capture the incidence of ARF and to answer important questions on community sensitization, healthcare worker and teacher education, and simplified diagnostics for low‐resource areas. This study also generated data to support further exploration of the relationship between malaria and ARF diagnosis in rheumatic heart disease/malaria‐endemic countries.

Background Rheumatic heart disease disproportionately affects women of reproductive age, as it increases the risk of cardiovascular complications and death during pregnancy and childbirth. In sub‐Saharan Africa, clinical outcomes and adherence to guideline‐based therapies are not well characterized for this population. Methods and Results In a retrospective cohort study of the Uganda rheumatic heart disease registry between June 2009 and May 2018, we used multivariable regression and Cox proportional hazards models to compare comorbidities, mortality, anticoagulation use, and treatment cascade metrics among women versus men aged 15 to 44 with clinical rheumatic heart disease. We included 575 women and 252 men with a median age of 27 years. Twenty percent had New York Heart Association Class III‐IV heart failure. Among patients who had an indication for anticoagulation, women were less likely than men to receive a prescription of warfarin (66% versus 81%; adjusted odds ratio, 0.37; 95% CI, 0.14–0.96). Retention in care (defined as a clinic visit within the preceding year) was poor among both sexes in this age group (27% for men, 24% for women), but penicillin adherence rates were high among those retained (89% for men, 92% for women). Mortality was higher in men than women (26% versus 19% over a median follow‐up of 2.7 years; adjusted hazard ratio, 1.66; 95% CI, 1.18–2.33). Conclusions Compared with men, women of reproductive age with rheumatic heart disease in Uganda have lower rates of appropriate anticoagulant prescription but also lower mortality rates. Retention in care is poor among both men and women in this age range, representing a key target for improvement.

Background HIV is associated with elevated risk of heart failure (HF). Despite poor agreement between automated, administrative code–based HF definitions and physician‐adjudicated HF, no studies have evaluated incident adjudicated HF for people living with HIV (PLWH). Methods and Results We analyzed PLWH and uninfected controls receiving care in an urban medical system from January 1, 2000, to July 12, 2016. Physicians reviewed data from medical records to adjudicate HF diagnoses. We used multivariable‐adjusted Cox models to analyze incident HF for PLWH versus controls and HIV‐related factors associated with incident HF. We also analyzed the performance of automated versus physician‐adjudicated HF definitions. Incident adjudicated HF occurred in 97 of 4640 PLWH (2.1%; mean: 6.8 years to HF) and 55 of 4250 controls (1.3%; mean: 6.7 years to HF; multivariable‐adjusted hazard ratio: 2.10; 95% confidence interval, 1.38–3.21). Among PLWH, higher HIV viral load (hazard ratio per log10 higher time‐updated viral load: 1.22; 95% confidence interval, 1.11–1.33) was associated with greater HF risk and higher CD4+ T cell count was associated with lower HF risk (hazard ratio per 100 cells/mm3 higher time‐updated CD4 count: 0.80; 95% confidence interval, 0.69–0.92). In exploratory analyses, the most accurate automated HF definitions had sensitivities of 67% to 75% and positive predictive values of 54% to 60%. Conclusions In a cohort with rigorous HF adjudication, PLWH had greater risks of HF than uninfected people after adjustment for demographics and cardiovascular risk factors. Higher HIV viral load and lower CD4+ T cell count were associated with higher HF risk among PLWH. Automated methods of HF ascertainment exhibited poor accuracy for PLWH and uninfected people.