Relationship between the place of living and mortality in patients with advanced heart failure

The application of neighborhood area deprivation index to improve health equity across the spectrum of heart failure: a review

Neighborhood environments play a key role in the development of individual risk factors for heart failure (HF) and impact health outcomes across the spectrum of HF. The area deprivation index (ADI) is an important composite measure of neighborhood depravity that has been associated with poor cardiovascular outcomes. The objective of our review is to discuss how neighborhood deprivation, with an emphasis on ADI, influences the spectrum of HF among patients and to propose solutions for ADI applications to improve the implementation of equitable care across the HF spectrum. MEDLINE/Pubmed was systematically searched to identify observational studies published between 2016 and 2024, examining the impact of ADI on HF risk, management, and outcomes. The search involved crossing two sets of terms included in article titles and abstracts: (1) social deprivation, area deprivation index, and neighborhood deprivation; (2) cardiovascular disease risk, heart failure, heart failure medications, and heart failure outcomes. Additional references were identified through searching relevant author reference lists and review articles. Key findings suggest that (1) the prevalence of HF risk is increased in individuals residing in neighborhoods with higher ADI; (2) HF patients living in more deprived neighborhoods have increased odds of being hospitalized for HF; (3) after HF admission, the relationship between ADI and risk for readmissions varies by race; and (4) there is an excess 30-day mortality of HF associated with race and neighborhood deprivation. The ADI is an important value to consider in patients with HF, given its association with clinical outcomes. Therefore, we suggest practical ways to incorporate ADI into the management of patients with HF to improve equitable outcomes.

Rural-urban disparities in mortality of patients with acute myocardial infarction and heart failure: a systematic review and meta-analysis

AIMS

Patients with cardiac disease living in rural areas may face significant challenges in accessing care, and studies suggest that living in rural areas may be associated with worse outcomes. However, it is unclear whether rural-urban disparities have an impact on mortality in patients presenting with acute myocardial infarction (AMI) and heart failure (HF). This meta-analysis aimed to assess differences in mortality between rural and urban patients presenting with AMI and HF.

METHODS AND RESULTS

A systematic search of the literature was performed using PubMed, Embase, MEDLINE, and CENTRAL for all studies published until 16 January 2024. A grey literature search was also performed using a manual web search. The following inclusion criteria were applied: (i) studies must compare rural patients to urban patients presenting to hospital with AMI or HF, and (ii) studies must report on mortality. The primary outcome was all-cause mortality. Comprehensive data were extracted including study design, patient characteristics (sex, age, and comorbidities), sample size, follow-up period, and outcomes. Odds ratios (ORs) were pooled with fixed-effects model. A subgroup analysis was performed to investigate causes for heterogeneity in which studies were separated based on in-hospital mortality, post-discharge mortality, and region of origin including North America, Europe, Asia, and Australia. In total, 37 studies were included (29 retrospective studies, 4 cross-sectional studies, and 4 prospective cohort studies) in our meta-analysis: 24 studies for AMI, 11 studies for HF, and 2 studies for both AMI and HF. This included a total of 21 107 886 patients with AMI (2 230 264 of which were in rural regions) and 18 434 270 patients with HF (2 655 469 of which were in rural regions). Rural patients with AMI had similar age (mean age 69.8 ± 5.7; vs. 67.5 ± 5.1) and were more likely to be female (43.2% vs. 38.5%) compared to urban patients. Rural patients with HF had similar age (mean age 77.1 ± 4.4 vs. 76.5 ± 4.2) and were more likely to be female (56.4% vs. 49.5%) compared to urban patients. The range of follow-up for the AMI cohort was 0 days to 24 months, and the range of follow-up for the HF cohort was 0 days to 24 months. Compared with urban patients, rural patients with AMI had higher mortality rate at follow-up [15.5% vs. 13.4%; OR 1.18, 95% confidence interval (CI), 1.13-1.24; I2 = 97%]. Compared with urban patients, rural patients with HF had higher mortality rate at follow-up (12.3% vs. 11.6%; OR 1.11, 95% CI, 1.11-1.12; I2 = 98%).

CONCLUSION

To our knowledge, this is the first systematic review and meta-analysis assessing mortality differences between rural and urban patients presenting with AMI and HF. We found that patients living in rural areas had an increased risk of mortality when compared to patients in urban areas. Clinical and policy efforts are required to reduce these disparities.

LAY SUMMARY

A total of 37 studies were included in our meta-analysis, involving over 39.5 million patients, and found higher mortality rates in rural patients with AMI and HF compared to those in urban areas. Clinical and policy efforts should focus on improving access to care and outcomes to reduce disparities between rural and urban areas.

Rural-Urban Differences in Outcomes of Acute Cardiac Admissions in a Large Health Service

Background

Cardiovascular disease (CVD) is a leading cause of morbidity and mortality and residing in a rural and remote region is associated with an increased risk. The impact of rurality on CVD outcomes needs to be fully elucidated.

Objectives

The purpose of this study was to assess the difference in mortality, readmission within 30 days, total readmissions, survival, and total emergency department (ED) presentations following an index CVD admission among patients from rural or remote areas as compared to metropolitan areas.

Methods

This retrospective observational study included all index hospitalizations with heart failure (HF), atrial fibrillation (AF), or acute coronary syndrome (ACS) within the Hunter New England region of Australia, between January 1, 2008, and December 31, 2021.

Results

There were 27,995 ACS admissions, 15,586 HF admissions, and 16,935 AF admissions. Patients from a rural or remote area presenting with CVD presentations had increased 30-day readmission (OR: 1.19; P < 0.001), an increased number of readmissions (incident rate ratio: 1.19; P < 0.001), and more ED presentations (incident rate ratio: 1.39; P < 0.001) as compared to patients from metropolitan areas. This was consistent across patients presenting with ACS, HF, and AF. There was no difference in mortality (HR: 1.01; P = 0.515). However, in the ACS subgroup, there was increased mortality in the rural and remote population (HR: 1.05; P = 0.015).

Conclusions

This study highlights the increased incidence of ED presentations and hospital readmissions, for those living in rural Australia, illustrating the disparity in health care provided, and the ongoing need for interventions that address poorer access to specialized health care in the early discharge phase of hospitalization.

Rural versus urban outcomes following transcatheter aortic valve implantation: The importance of the heart team

BACKGROUND

Rural patients face known healthcare disparities and worse cardiovascular outcomes compared to urban residents due to inequitable access and delayed care. Few studies have assessed rural-urban differences in outcomes following Transcatheter Aortic Valve Implantation (TAVI). We compared short-term post-TAVI outcomes between rural and urban patients.

METHODS

We performed a retrospective analysis of n = 413 patients who underwent TAVI at our large academic medical center, between 2011 and 2020 (rural/urban patients = 93/320. Rural/urban males = 53/173). Primary outcomes were all-cause mortality and cardiovascular mortality. Secondary outcomes included stroke/transient ischemic attack, myocardial infarction, atrial fibrillation, acute kidney injury, bleeding, vascular complications, and length of stay.

RESULTS

The mean age in years was 77 [IQR 70-82] for rural patients and 78 [IQR 72-84] for urban patients. Baseline characteristics were similar between groups, except for a greater frequency of active smokers and diabetics as well as a greater body mass index in the rural group. There were no statistically significant differences in all-cause or cardiovascular mortality between the groups. There was also no statistically significant difference in secondary outcomes.

CONCLUSION

Rural and urban patients had no statistically significant difference in all-cause mortality or cardiovascular mortality following TAVI. Given its minimally invasive nature and quality-centric, multidisciplinary care provided by the TAVI Heart Teams, TAVI may be the preferred modality for the treatment of severe aortic stenosis in rural populations.

Variability in Cardiovascular Risk Factor Control in Patients with Heart Failure According to Gender and Socioeconomic Status

Background: Despite considerable evidence concerning heart failure (HF) risk factors, there is scarce information about the effect and degree of control regarding socioeconomic and gender inequalities. Methods: Cohort study including HF patients >40 years of age attended in 53 primary health care centers in Barcelona (Spain). Socioeconomic status (SES) was determined by an aggregated deprivation index (MEDEA) according to the neighborhood of residence. Logistic multivariable regression was performed to analyze differences in cardiovascular risk factor control, stratifying by SES and sex. Results: A total of 8235 HF patients were included. Mean age was 78.1 (standard deviation 10.2) years, and 56.0% were women. The most prevalent cardiovascular risk factors were hypertension, diabetes, and dyslipidemia. Blood pressure was the worst controlled factor in both genders with the lowest SES (odds ratio [OR] 0.56 95% confidence interval [CI] 0.56-0.71) and (OR 0.52, 0.46-0.71), respectively. In women, a social gradient was observed for glycemic and body mass index control, which were worse in the most unfavorable socioeconomic position (OR 0.54, 95% CI 0.38-0.77), and (OR 0.45, 95% CI 0.32-0.64), respectively. Men presented worse control of blood pressure (OR 0.55, 95% CI 0.42-0.71) and smoking habit (OR 0.67, 95% CI 0.47-0.90) in the most deprived socioeconomic bracket. Conclusions: Patients with HF in the most disadvantaged socioeconomic levels presented the worst degree of control for cardiovascular risk factors, and this negative effect was stronger in women.

Association between Residence Location and Pre-Hospital Delay in Patients with Heart Failure

Rural residents with heart failure (HF) face more challenges than their urban counterparts in taking action when their symptoms worsen due to limited healthcare resources in rural areas. This may contribute to rural residents’ pre-hospital delay in seeking medical care. However, few studies have investigated the relationship between residence locations and pre-hospital delay among patients with HF. Therefore, this study determined whether living in rural areas is associated with pre-hospital delay in patients with HF. A retrospective electronic medical record review was conducted using the data of patients discharged with worsening HF from an academic medical center. Data on postal codes of the patients’ residences and their experiences before seeking medical care were obtained. Pre-hospital delay was calculated from the onset of HF symptoms to hospital arrival. A multivariate linear regression analysis was performed to determine the relationship between residence location and pre-hospital delay. The median pre-hospital delay time of all patients was 72 h (N = 253). About half of the patients did nothing to relieve their symptoms before seeking medical care. Living in urban areas was associated with a shorter pre-hospital delay. Patients with HF waited several days after first experiencing worsening of symptoms before getting admitted to a hospital, which may be related to inappropriate interpretation and responses to the worsening of symptoms. Furthermore, we found that rural residents were more vulnerable to pre-hospital delay than their urban counterparts.

Social and environmental risks as contributors to the clinical course of heart failure

Heart failure is a major contributor to healthcare expenditures. Many clinical risk factors for the development and exacerbation of heart failure had been reported, including diabetes, renal dysfunction, and respiratory disease. In addition to these clinical parameters, the effects of social factors, such as occupation or lifestyle, and environmental factors may have a great impact on disease development and progression of heart failure. However, the current understanding of social and environmental factors as contributors to the clinical course of heart failure is insufficient. To present the knowledge of these factors to date, this comprehensive review of the literature sought to identify the major contributors to heart failure within this context. Social factors for the risk of heart failure included occupation and lifestyle, specifically in terms of the effects of specific occupations, occupational exposure to toxicities, work style, and sleep deprivation. Socioeconomic factors focused on income and education level, social status, the neighborhood environment, and marital status. Environmental factors included traffic and noise, air pollution, and other climate factors. In addition, psychological stress and behavior traits were investigated. The development of heart failure may be closely related to these factors; therefore, these data should be summarized for the context to improve their effects on patients with heart failure. The present study reviews the literature to summarize these influences.