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Introduction
Irrespective of the underlying cause, heart failure (HF)
generates an enormous clinical, societal and economic
burden. Although some population statistics suggested that
the epidemiologic burden of HF may have significantly
decreased between 2000 and 2010 (1), this trend could
not be confirmed in other continental or nationwide
surveys, which showed instead that both the incidence and
prevalence of HF may be increasing especially due to a
constantly growing proportion of population aged 70 years
or older (2-5). Accurate assessment of epidemiologic trends
is vital for optimizing healthcare resources allocation
in a world still plagued by an unprecedented economic
crisis (6). Therefore, in this brief report, we aimed to
provide an objective and concise analysis of the worldwide
epidemiological burden of HF, providing also an estimation
of possible future trends.
Methods
An electronic search was performed in the Global Health
Data Exchange (GHDx) registry, a large database of health-
related data maintained by the Institute for Health Metrics
and Evaluation (7), using the keyword “heart failure”
[International Classification of Diseases 10 (ICD-10)
Code I50] in the category “impairment” combined
with “all causes” in the category “cause”. According to
the Global Burden of Disease (GBD) Collaborators,
HF clinically diagnosed, using structured criteria such
as those of Framingham or the European Society of
Cardiology (ESC) (8,9). Mild HF was then defined as
shortness of breath and fatigue with moderate physical
activity such as walking uphill or more than a quarter-
mile on level ground (disability weight, 0.041; 95%
confidence interval (CI), 0.026–0.062), moderate HF
as is shortness of breath and easy fatigue with minimal
Brief Report
Global epidemiology and future trends of heart failure
Giuseppe Lippi1, Fabian Sanchis-Gomar2
1Section of Clinical Biochemistry, University of Verona, Verona, Italy; 2Department of Physiology, Faculty of Medicine, University of Valencia and
INCLIVA Biomedical Research Institute, Valencia, Spain
Correspondence to: Fabian Sanchis-Gomar, MD, PhD. Department of Physiology, Faculty of Medicine, University of Valencia, Av. Blasco Ibañez 15,
46010 Valencia, Spain. Email: fabian.sanchis@uv.es.
Abstract: Some population statistics suggested that the epidemiologic burden of heart failure (HF) may
have signicantly decreased between 2000 and 2010. However, this trend could not be conrmed in other
continental or nationwide surveys. We aimed to provide an objective and concise analysis of the worldwide
epidemiological burden of HF. An electronic search was performed in Global Health Data Exchange (GHDx)
registry, with the keyword “heart failure”. The current worldwide prevalence of HF is 64.34 million cases (8.52
per 1,000 inhabitants), accounting for 9.91 million years lost due to disability (YLDs) and 346.17 billion US
$ expenditure. YLDs value is marginally higher in men. HF poses the largest burden after 60 years of age
and both prevalence and YLDs have increased by 3.9% and 4.5% in very elderly people during the last 28
years. A linear, direct relationship can be found between socio-demographic index (SDI) and both prevalence
and YLDs of HF. HF is an emerging worldwide threat whose prevalence and health loss burden constantly
increase, especially in the elderly and in people leaving in low-to middle SDI regions. Urgent preventive
interventions shall be prioritized and healthcare resources redesigned around this evolving epidemiology.
Keywords: Heart failure (HF); heart disease; health; epidemiology; mortality
Received: 22 January 2020. Accepted: 27 February 2020.
doi: 10.21037/amj.2020.03.03
View this article at: http://dx.doi.org/10.21037/amj.2020.03.03
6
AME Medical Journal, 2020Page 2 of 6
© AME Medical Journal. All rights reserved. AME Med J 2020 | http://dx.doi.org/10.21037/amj.2020.03.03
physical activity such as walking a short distance (disability
weight, 0.072; 95% CI, 0.047–0.103), whilst severe HF
was defined as shortness of breath and fatigue even at
rest (disability weight, 0.179; 95% CI, 0.122–0.251) (10).
The years lost due to disability (YLDs) was considered
the indicator of disease or risk factor attributable to health
loss, reecting the burden of living with a certain disease or
disability. The database search was then combined with the
epidemiologic variables “year”, “sex”, “age” and “location”
(using “SDI Regions”, where SDI stands for socio-
demographic index).
The output of the electronic search was downloaded in
comma-separated values (CSV), imported into an Excel
file (Microsoft, Redmond, WA, USA) and analyzed with
Analyse-it (Analyse-it Software Ltd, Leeds, UK) and
MedCalc statistical software (MedCalc Software, Ostend,
Belgium). Simple (Pearson’s correlation) regression analyses
were used for assessing potential associations (and their
relative 95% CI) among different epidemiologic measures,
whilst the risk was expressed as odds ratio (OR) and relative
95% CI. The study was performed in accordance with the
Declaration of Helsinki and under the terms of relevant
local legislation.
Results
According to the last searchable GDHx period (i.e., year
2017), the current worldwide prevalence of HF is estimated
at 64.34 million cases (8.52 per 1,000 inhabitants, 29%
of which mild, 19% moderate and 51% severe HF),
accounting for 9.91 million YLDS (11.61 per 1,000 YLDs).
Based on an American Heart Association (AHA) estimation
of 5380 US $ per HF case (11), the current worldwide
economic burden of HF can be estimated at 346.17 billion
US $. The most frequent causes of HF with known etiology
is ischemic heart disease (42.3% of all cases), followed by
chronic obstructive pulmonary disease (37.0%), mitral valve
disease (4.3%), aortic valve disease (3.4%), rheumatic heart
disease (3.0%), myocarditis (2.6%) and endocarditis (1.4%).
The last 28-year trend (i.e., between the years 1990 to 2017)
is shown in Figure 1. A considerable increase has occurred
for both prevalence and YLDs of HF, both trends perfectly
Figure 1 Last 28-year trend and current scenario of worldwide epidemiology of HF.
Cases (×1000)
Time (years)
YLDs (Years Lived with Disability)
Prevalence
13.0
12.5
12.0
11.5
11.0
10.5
10.0
9.5
9.0
8.5
8.0
7.5
7.0
6.5
6.0
1990
1992
1994
1996
1998
2000
2002
2004
2006
2008
2010
2012
2014
1016
2030
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© AME Medical Journal. All rights reserved. AME Med J 2020 | http://dx.doi.org/10.21037/amj.2020.03.03
matching a third-degree polynomial equation (r=1.000 and
P<0.001 for both). Overall, prevalence and YLDs of HF
have increased by ~36% since the year 1900, and this trend
is not likely to reverse soon. According to estimations based
on the third-degree polynomial equations, prevalence and
YLDs will probably grow to 9.81 per 1,000 inhabitants
(+15.1%) and 12.82 per 1,000 YLDs (+10.4%) by the year
2030, accounting for ~398.44 billion US $ worldwide
expenditure.
Although the prevalence of HF appears significantly
higher in the female sex (9.16 vs. 7.69 per million
inhabitants; OR, 1.19; 95% CI, 1.18–1.20; P<0.001), the
value of YLDs is instead marginally but signicantly higher
in men than in women (11.74 vs. 11.50 per 1,000 YLDs;
OR, 1.02; 95% CI, 1.01–1.03; P<0.001). Both prevalence
and YLDs have remained almost constant between genders
during the last 28 years. The current and last 28-year trend
of prevalence and YLDs of HF in different age groups are
shown in Figure 2A. Overall, HF poses the largest burden
after 60 years of age (81% and 87% of all HF cases and all
YLDs for HF, respectively). The risk of developing HF
is over 20-fold higher in people aged 60 years than in
younger subjects (OR: 21.9; 95% CI, 21.8–22.0; P<0.001).
Importantly, the prevalence and YLDs of HF have increased
by 3.9% and 4.5% in very elderly people (i.e., aged
80 years) during the last 28 years. The burden of HF in
the different SDI areas is finally shown in Figure 2B. A
linear, direct relationship can be found between SDI and
both prevalence (r=0.94, 95% CI, 0.31–1.00; P=0.019) or
YLDs (r=0.92; 95% CI, 0.20–0.99; P=0.027) of HF.
Though the burden of HF remains higher in high SDI
regions (31% of all HF cases and 28% of all YLDs for HF),
the 28-year trends reveal a −11.2% decreased prevalence in
these regions counterbalanced by a 10.3% increase in low-
to-middle SDI regions. The YLDs trend is very similar,
with a 10.5% decline in high SDI regions occurred during
the last 28 years, counterbalanced by a 10.0% increment in
low-to-middle SDI regions. The last 10-year trend of HF
prevalence seems virtually linear both in high SDI (r=0.999;
P<0.001) and low-to-middle SDI (r=1.000; P<0.001) regions
(Figure 3). By the year 2030, it can hence be estimated that
the prevalence of HF will increase over 50% in low-to-
middle SDI regions, whilst it will decline to ~27% in high
SDI countries, respectively.
Discussion
Although evidence has been provided that the
epidemiologic impact of HF may have decreased during
the past decades (1), more recently published continental
or nationwide studies showed an almost opposite trend
(2-5). The results of our analysis suggest that both
prevalence and health loss (i.e., YLDs) of HF have
constantly increased during the past 28 years on a
worldwide scale, following a path that is unlikely to reverse
in the next 10 years based on our estimations. The recent
AHA projections show that the prevalence of HF in the
US will probably increase from 2.42% in 2012 to 2.97%
in 2030 (11), exhibiting a relative increment of 22.7%
that would perfectly overlap the increment of worldwide
prevalence predicted by our estimation during the same
period of time (7.93 per 1,000 inhabitants in 2012 vs. 9.81
per 100 inhabitants in 2030, +23.7%) (Figure 1). Notably,
this increased population burden will then translate into
an enhanced worldwide expenditure for managing HF
patients, which will reach approximately 400 billion US $ in
2030, thus approximating the gross domestic product of an
entire country like Austria, Ireland or Israel. Although the
sex distribution of HF has not apparently changed during
the last 28 years, with prevalence constantly higher in the
female sex and YLDs slightly larger in men, the impact of
HF in different age ranges has instead signicantly varied,
with an ~4% increase in the very elderly population, as
possible reflection of worldwide population ageing. This
increment has been almost constant and has even sharpened
during the last 10 years (+ ~2%; Figure 2A), which would
hence lead us to estimate that both prevalence and
YLDs will consistently increase over 30% in people aged
80 years by the year 2030. Since the higher inpatient
costs for managing HF are those resulting from hospital
readmissions (12), which are up to 4-fold higher in the
elderly (13), it is hence very likely that the epidemic
proportion reached by HF in older individuals may
consistently amplify the usage of healthcare resource for
managing HF in the next 10 years.
The last 28-year trend and the current socioeconomic
distribution of HF around the world deserve special focus.
Although the burden of HF is still largely prevalent in
middle-to-high SDI regions, the recent trend shows that the
distribution may soon change (Figure 2B). More specically,
our analysis shows that the burden of HF has increased
by 3.1% in the last 10 years in low-to-middle SDI regions
(from 43.4% to 46.5% of all worldwide HF cases), which
would allow us to estimate that the burden of this condition
will overcome 50% by the year 2030, thus reversing the
current scenario where HF is more prevalent in middle-
AME Medical Journal, 2020Page 4 of 6
© AME Medical Journal. All rights reserved. AME Med J 2020 | http://dx.doi.org/10.21037/amj.2020.03.03
Figure 2 Global trends on HF during the last 28 years. (A) Last 28-year trend and current scenario of worldwide epidemiology of HF
in different age ranges; (B) last 28-year trend and current scenario of worldwide epidemiology of HF in different SDI regions. HF, heart
failure; SDI, socio-demographic index.
100%
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%
100%
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%
High SDI
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
Time (years)
>90
85 to 89
80 to 84
75 to 79
70 to 74
65 to 69
60 to 64
55 to 59
50 to 54
<50
Time (years)
Percent of all heart failure cases
Percent of all heart failure cases
Middle-High SDI
Middle SDI
Middle-low SDI
LowSDI
A
B
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© AME Medical Journal. All rights reserved. AME Med J 2020 | http://dx.doi.org/10.21037/amj.2020.03.03
Figure 3 Current and future trends of HF prevalence in middle-
to-low and high SDI regions. HF, heart failure; SDI, socio-
demographic index.
to-high SDI countries (Figure 3). This prediction will pose
additional challenges, whereby HF in low-income countries
is clinically different from Europe and North America and
its outcome is dramatically influenced by worse health-
care infrastructure availability, as well as by lower care
access and quality (14). This will require definition and
implementation of highly tailored healthcare measures
that may pose a theoretically unsustainable burden on local
healthcare systems in these countries (15).
Conclusions
The results of our analysis attest that HF is an emerging
worldwide threat whose prevalence and health loss burden
are constantly increasing, especially in the elderly and in
people leaving in low SDI regions. Urgent interventions
shall hence be prioritized and scaled up for targeting the
cause of HF and preventing its onset and worsening, as
well as for redesigning healthcare access, infrastructure and
therapies around this evolving epidemiology.
Acknowledgments
Fabian Sanchis-Gomar is supported by a postdoctoral
contract granted by “Subprograma Atracció de Talent -
Contractes Postdoctorals de la Universitat de València”.
Footnote
Conicts of Interest: The authors have no conicts of interest
to declare.
Ethical Statement: The authors are accountable for all
aspects of the work in ensuring that questions related
to the accuracy or integrity of any part of the work are
appropriately investigated and resolved.
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doi: 10.21037/amj.2020.03.03
Cite this article as: Lippi G, Sanchis-Gomar F. Global
epidemiology and future trends of heart failure. AME Med J
2020.
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Objectives In patients with heart failure (HF), investigate the association between symptoms recorded in routine primary care consultations and short-term (3-month) hospitalisation and mortality. Design Landmark analysis using Royston-Parmar flexible parametric survival models fitted at three different timepoints (landmarks): baseline (diagnosis date), and 6 and 12 month post-diagnosis. Setting Primary care database analysis using Clinical Practice Research Datalink (CPRD), linked to hospitalisations and mortality (1998 to 2020). Participants Adults (>40 years) with a first code for HF diagnosis in primary or secondary care records. Exposures Shortness of breath (SOB), ankle swelling, oedema, fatigue, chest pain, depression and anxiety measured in a 3-month time-window prior to HF diagnosis and in survivors at 6 and 12-months. Main outcome measures 3-month first all-cause hospitalisation and mortality, separately. Secondary outcomes were hospitalisations for HF and non-cardiovascular disease. Results There were 86,882 patients with a diagnosis of HF, of whom 62,742 and 54,555 survived 6 and 12 months, respectively. There were differential symptom associations among different landmarks and outcomes. The highest risk associations for symptoms recorded just prior to diagnosis (baseline) were for depression for all-cause hospitalisation (adjusted hazard ratio: 1.26; 95% CI 1.15, 1.39), for non-cardiovascular hospitalisation (1.15; 1.10, 1.21) and death (1.22; 1.09, 1.36) and SOB for HF hospitalisation (1.18; 1.12, 1.26). Patients with HF exhibiting symptoms just prior to 6 and 12 month landmarks had increased risk of hospitalisation and mortality: at 6-months, the highest risk associations were with symptoms of depression for all-cause hospitalisation (1.46; 1.25, 1.70) and non-CVD hospitalisation (1.46; 1.23, 1.74), SOB for HF-specific hospitalisation (1.72; 1.50, 1.98); ankle swelling for mortality (1.49; 1.14, 1.94). At the 12-month landmark, classic HF symptoms had the highest risk associations: ankle swelling for all-cause hospitalisation (1.47; 1.21, 1.79) and non-CVD hospitalisation (1.55; 1.24, 1.93); SOB for HF hospitalisation (1.99; 1.68, 2.35); and fatigue for mortality (1.57; 1.22, 2.03). Conclusions Symptoms reported by patients with HF in routine primary care consultations were associated with short-term risk of hospitalisations and death. These risk associations were more prominent in patients with HF at 6 and 12-months post-diagnosis than at the point of diagnosis.
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The world faces multiple health financing challenges as the global health burden evolves. Countries have set an ambitious health policy agenda for the next 15 years with prioritisation of universal health coverage under the Sustainable Development Goals. The scale of investment needed for equitable access to health services means global health is one of the key economic opportunities for decades to come. New financing partnerships with the private sector are vital. The aim of this study is to unlock additional financing sources, acknowledging the imperative to link financial returns to the providers of capital, and create profitable, sustainable financing structures. This paper outlines the global health investment opportunity exploring intersections of financial and health sector interests, and the role investment in health can play in economic development. Considering increasing demand for impact investments, the paper explores responsible financing initiatives and expansion of the global movement for sustainable capital markets. Adding an explicit health component (H) to the Environmental, Social and Governance (ESG) investment criteria, creating the ESG+H initiative, could serve as catalyst for the inclusion of health criteria into mainstream financial actors’ business practices and investment objectives. The conclusion finds that health considerations directly impact profitability of the firm and therefore should be incorporated into financial analysis. Positive assessment of health impact, at a broad societal or environmental level, as well as for a firm’s employees can become a value enhancing competitive advantage. An ESG+H framework could incorporate this into mainstream financial decision-making and into scalable investment products.
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Background Heart failure is a major and growing medical and economic problem worldwide as 1–2% of the healthcare budget are spent for heart failure. The prevalence of heart failure has increased over the past decades and it is expected that there will be further raise due to the higher proportion of elderly in the western societies. In this context cost-of-illness studies can significantly contribute to a better understanding of the drivers and problems which lead to the increasing costs in heart failure.The aim of this study was to perform a systematic review of published cost-of-illness studies related to heart failure to highlight the increasing cost impact of heart failure. MethodsA systematic review was conducted from 2004 to 2016 to identify cost-of-illness studies related to heart failure, searching PubMed (Medline), Cochrane, Science Direct (Embase), Scopus and CRD York Database. ResultsOf the total of 16 studies identified, 11 studies reported prevalence-based estimates, 2 studies focused on incidence-based data and 3 articles presented both types of cost data. A large variation concerning cost components and estimates can be noted. Only three studies estimated indirect costs. Most of the included studies have shown that the costs for hospital admission are the most expensive cost element. Estimates for annual prevalence-based costs for heart failure patients range from $868 for South Korea to $25,532 for Germany. The lifetime costs for heart failure patients have been estimated to $126.819 per patient. Conclusions Our review highlights the considerable and growing economic burden of heart failure on the health care systems. The cost-of-illness studies included in this review show large variations in methodology used and the cost results vary consequently. High quality data from cost-of-illness studies with a robust methodology applied can inform policy makers about the major cost drivers of heart failure and can be used as the basis of further economic evaluations.
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Background: To investigate heart failure (HF) hospitalization trends in the United States and change in trends after publication of management guidelines. Methods and results: Using data from the National Inpatient Sample and the US Census Bureau, annual national estimates in HF admissions and in-hospital mortality were estimated for years 2001 to 2014, during which an estimated 57.4 million HF-associated admissions occurred. Rates (95% confidence intervals) of admissions and in-hospital mortality among primary HF hospitalizations declined by an average annual rate of 3% (2.5%-3.5%) and 3.5% (2.9%-4.0%), respectively. Compared with 2001 to 2005, the average annual rate of decline in primary HF admissions was more in 2006 to 2009 (ie, 3.4% versus 1.1%; P=0.02). In 2010 to 2014, primary HF admission continued to decline by an average annual rate of 4.3% (95% confidence interval, 3.9%-5.1%), but this was not significantly different from 2006 to 2009 (P=0.14). In contrast, there was no further decline in in-hospital mortality trend after the guideline-release years. For hospitalizations with HF as the secondary diagnosis, there was an upward trend in admissions in 2001 to 2005. However, the trend began to decline in 2006 to 2009, with an average annual rate of 2.4% (95% confidence interval, 0.8%-4%). Meanwhile, there was a consistent decline in in-hospital mortality by an average annual rate of 3.7% (95% confidence interval, 3.3%-4.2%) during the study period, but the decline was more in 2006 to 2009 compared with 2001 to 2005 (ie, 5.4% versus 3.4%; P<0.001). Beyond 2009, admission and in-hospital mortality rates continued to decline, although this was not significantly better than the preceding interval. Conclusions: From 2001 to 2014, HF admission and in-hospital mortality rates declined significantly in the United States; the greatest improvements coincided with the publication of the 2005 American College of Cardiology/American Heart Association HF guidelines.
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Background: Large-scale and contemporary population-based studies of heart failure incidence are needed to inform resource planning and research prioritisation but current evidence is scarce. We aimed to assess temporal trends in incidence and prevalence of heart failure in a large general population cohort from the UK, between 2002 and 2014. Methods: For this population-based study, we used linked primary and secondary electronic health records of 4 million individuals from the Clinical Practice Research Datalink (CPRD), a cohort that is representative of the UK population in terms of age and sex. Eligible patients were aged 16 years and older, had contributed data between Jan 1, 2002, and Dec 31, 2014, had an acceptable record according to CPRD quality control, were approved for CPRD and Hospital Episodes Statistics linkage, and were registered with their general practice for at least 12 months. For patients with incident heart failure, we extracted the most recent measurement of baseline characteristics (within 2 years of diagnosis) from electronic health records, as well as information about comorbidities, socioeconomic status, ethnicity, and region. We calculated standardised rates by applying direct age and sex standardisation to the 2013 European Standard Population, and we inferred crude rates by applying year-specific, age-specific, and sex-specific incidence to UK census mid-year population estimates. We assumed no heart failure for patients aged 15 years or younger and report total incidence and prevalence for all ages (>0 years). Findings: From 2002 to 2014, heart failure incidence (standardised by age and sex) decreased, similarly for men and women, by 7% (from 358 to 332 per 100 000 person-years; adjusted incidence ratio 0·93, 95% CI 0·91-0·94). However, the estimated absolute number of individuals with newly diagnosed heart failure in the UK increased by 12% (from 170 727 in 2002 to 190 798 in 2014), largely due to an increase in population size and age. The estimated absolute number of prevalent heart failure cases in the UK increased even more, by 23% (from 750 127 to 920 616). Over the study period, patient age and multi-morbidity at first presentation of heart failure increased (mean age 76·5 years [SD 12·0] to 77·0 years [12·9], adjusted difference 0·79 years, 95% CI 0·37-1·20; mean number of comorbidities 3·4 [SD 1·9] vs 5·4 [2·5]; adjusted difference 2·0, 95% CI 1·9-2·1). Socioeconomically deprived individuals were more likely to develop heart failure than were affluent individuals (incidence rate ratio 1·61, 95% CI 1·58-1·64), and did so earlier in life than those from the most affluent group (adjusted difference -3·51 years, 95% CI -3·77 to -3·25). From 2002 to 2014, the socioeconomic gradient in age at first presentation with heart failure widened. Socioeconomically deprived individuals also had more comorbidities, despite their younger age. Interpretation: Despite a moderate decline in standardised incidence of heart failure, the burden of heart failure in the UK is increasing, and is now similar to the four most common causes of cancer combined. The observed socioeconomic disparities in disease incidence and age at onset within the same nation point to a potentially preventable nature of heart failure that still needs to be tackled. Funding: British Heart Foundation and National Institute for Health Research.
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Background: Most data on mortality and prognostic factors in patients with heart failure come from North America and Europe, with little information from other regions. Here, in the International Congestive Heart Failure (INTER-CHF) study, we aimed to measure mortality at 1 year in patients with heart failure in Africa, China, India, the Middle East, southeast Asia and South America; we also explored demographic, clinical, and socioeconomic variables associated with mortality. Methods: We enrolled consecutive patients with heart failure (3695 [66%] clinic outpatients, 2105 [34%] hospital in patients) from 108 centres in six geographical regions. We recorded baseline demographic and clinical characteristics and followed up patients at 6 months and 1 year from enrolment to record symptoms, medications, and outcomes. Time to death was studied with Cox proportional hazards models adjusted for demographic and clinical variables, medications, socioeconomic variables, and region. We used the explained risk statistic to calculate the relative contribution of each level of adjustment to the risk of death. Findings: We enrolled 5823 patients within 1 year (with 98% follow-up). Overall mortality was 16·5%: highest in Africa (34%) and India (23%), intermediate in southeast Asia (15%), and lowest in China (7%), South America (9%), and the Middle East (9%). Regional differences persisted after multivariable adjustment. Independent predictors of mortality included cardiac variables (New York Heart Association Functional Class III or IV, previous admission for heart failure, and valve disease) and non-cardiac variables (body-mass index, chronic kidney disease, and chronic obstructive pulmonary disease). 46% of mortality risk was explained by multivariable modelling with these variables; however, the remainder was unexplained. Interpretation: Marked regional differences in mortality in patients with heart failure persisted after multivariable adjustment for cardiac and non-cardiac factors. Therefore, variations in mortality between regions could be the result of health-care infrastructure, quality and access, or environmental and genetic factors. Further studies in large, global cohorts are needed. Funding: The study was supported by Novartis.
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Global deaths from cardiovascular disease are increasing as a result of population growth, the aging of populations, and epidemiologic changes in disease. Disentangling the effects of these three drivers on trends in mortality is important for planning the future of the health care system and benchmarking progress toward the reduction of cardiovascular disease. We used mortality data from the Global Burden of Disease Study 2013, which includes data on 188 countries grouped into 21 world regions. We developed three counterfactual scenarios to represent the principal drivers of change in cardiovascular deaths (population growth alone, population growth and aging, and epidemiologic changes in disease) from 1990 to 2013. Secular trends and correlations with changes in national income were examined. Global deaths from cardiovascular disease increased by 41% between 1990 and 2013 despite a 39% decrease in age-specific death rates; this increase was driven by a 55% increase in mortality due to the aging of populations and a 25% increase due to population growth. The relative contributions of these drivers varied by region; only in Central Europe and Western Europe did the annual number of deaths from cardiovascular disease actually decline. Change in gross domestic product per capita was correlated with change in age-specific death rates only among upper-middle income countries, and this correlation was weak; there was no significant correlation elsewhere. The aging and growth of the population resulted in an increase in global cardiovascular deaths between 1990 and 2013, despite a decrease in age-specific death rates in most regions. Only Central and Western Europe had gains in cardiovascular health that were sufficient to offset these demographic forces. (Funded by the Bill and Melinda Gates Foundation and others.).
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ACC/AHA : American College of Cardiology/American Heart Association ACCF/AHA : American College of Cardiology Foundation/American Heart Association ACE : angiotensin-converting enzyme ACEI : angiotensin-converting enzyme inhibitor ACS : acute coronary syndrome AF : atrial fibrillation