A comparison of risk factors for mortality from heart failure in Asian and non-Asian populations: An overview of individual participant data from 32 prospective cohorts from the Asia-Pacific Region
© Huxley et al.; licensee BioMed Central Ltd. 2014
Received: 18 November 2013
Accepted: 23 April 2014
Published: 3 May 2014
Most of what is known regarding the epidemiology of mortality from heart failure (HF) comes from studies within Western populations with few data available from the Asia-Pacific region where the burden of heart failure is increasing.
Individual level data from 543694 (85% Asian; 36% female) participants from 32 cohorts in the Asia Pacific Cohort Studies Collaboration were included in the analysis. Adjusted hazard ratios (HR) and 95% confidence intervals (CI) for mortality from HF were estimated separately for Asians and non-Asians for a quintet of cardiovascular risk factors: systolic blood pressure, diabetes, body mass index, cigarette smoking and total cholesterol. All analyses were stratified by sex and study.
During 3,793,229 person years of follow-up there were 614 HF deaths (80% Asian). The positive associations between elevated blood pressure, obesity, and cigarette smoking were consistent for Asians and non-Asians. There was evidence to indicate that diabetes was a weaker risk factor for death from HF for Asians compared with non-Asians: HR 1.26 (95% CI: 0.74-2.13) versus 3.04 (95% CI 1.76-5.25) respectively; p for interaction = 0.022. Additional adjustment for covariates did not materially change the overall associations. There was no good evidence to indicate that total cholesterol was a risk factor for HF mortality in either population.
Most traditional cardiovascular risk factors including elevated blood pressure, obesity and cigarette smoking appear to operate similarly to increase the risk of death from HF in Asians and non-Asians populations alike.
KeywordsMeta-analysis Heart failure Epidemiology
Heart failure (HF) is a complex syndrome with a multifactorial aetiology and is a major cause of death and disability in higher-income countries where it is estimated that 2% of adults are affected . The incidence of HF is strongly age-related so that the prevalence of the condition rises to 6-10% in those over 65 years of age . In the United States (US) alone, an estimated 550,000 new cases occur annually  and in 2008, 1 in 9 death certificates mentioned heart failure . Globally, it has been estimated that 23 million individuals worldwide have HF  although this may be an underestimate given the lack of reliable population-based studies of the prevalence and incidence of HF for Asia and elsewhere [5, 6]. What data there are from Asia suggest that hospitalization for HF is increasing in the region [7, 8].
Our knowledge regarding the causes of HF has chiefly been derived from studies from the US  and Europe  with relatively few data from less developed parts of the world including Asia . As with other forms of cardiovascular disease, the major lifestyle risk factors for HF are reported to include elevated blood pressure, obesity, smoking, and diabetes . Whether these risk factors exert the same effect on Asian populations that tend to have markedly different risk factor profiles compared with non-Asians  remains to be determined. In this paper we report on the associations between traditional cardiovascular risk factors and mortality from HF in the Asia-Pacific region and contextualize these findings with respect to the current literature using data from the Asia Pacific Cohort Studies Collaboration (APCSC) [14, 15].
All of the individual studies that participated in APCSC obtained ethics approval from their own ethics approval boards. All participants were aged 18 or over and provided informed consent in accordance with the principles of the Declaration of Helsinki.
Details of the APCSC have been described elsewhere [14, 15]. In brief, a study was eligible for inclusion if the population was drawn from the Asia Pacific region; it had a prospective cohort study design without selection being consequent to pre-existing disease; it had accumulated at least 5000 person-years of follow-up; date of birth (or age), sex and blood pressure were recorded at baseline; and date or age at death was recorded during follow-up. Cohorts were excluded if they were based on a positive disease history or diagnosis. Cohorts were classified as Asian if the participants were recruited from mainland China, Hong Kong, South Korea, Japan or Taiwan, and Australian if the cohorts were recruited within Australia. The majority of cohorts were population-based but several of the cohorts were sourced from occupational settings (e.g. KMIC, Guangzhou Occupational, Beijing Steelworkers, and Civil Service Workers).
In most studies, blood pressure was measured at rest in the seated position using a standard mercury sphygmomanometer . TC was obtained using previously described methods . Body mass index (BMI) was calculated as weight (kg) divided by squared height (m2) . The diabetes status of individual participants was determined on the basis of a self-reported history of diabetes at baseline or by applying the World Health Organization (WHO) criteria to baseline blood glucose levels . Cigarette smoking was classified based on self-report at baseline as ‘ever’ versus ‘never’ smoking .
Most studies used database linkage to identify deaths, while others also included scheduled follow-up visits or examined hospital records Information on fatal events was classified according to the Ninth Revision of the International Classification of Diseases (ICD-9). The end point considered in this analysis was fatal HF (ICD-9 428). Data quality of the individual cohorts was centrally checked and, if needed, data were recoded for comparability across studies. Where necessary, further details were sought from the principal investigators of each individual study.
All analyses used individual participant data, restricted to participants aged ≥20 years at the time of the baseline survey. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (95% CI) for HF for each risk factor, after adjustment for age. All analyses were stratified by sex and study. For linear associations HRs for a unit increase were derived. BMI and HF exhibited a non-linear relationship so the HRs across quarters were reported. In addition, the HR’s across five sequential categories of BMI were reported: <18.5, 18.5–21.9, 22–24.9, 25–29.9 and ≥30 kg/m2. The 95% CI for categories of BMI were obtained by the method of floating absolute risks . The associations for continuous variables were adjusted for regression dilution bias using repeated measurement data . The analyses were repeated within subgroups according to sex, age (≤75 v > 75 years), and region (Asia v Australia) and a p-value less than 0.05 was considered evidence of an interaction. In a sensitivity analysis, the impact of adjustment for SBP, smoking, BMI and diabetes was explored using a restricted sample that had information on these variables. In a further sensitivity analysis, the data were left-censored to exclude events that occurred during the first two years of follow-up. We also examined whether there was an interaction with history of cardiovascular disease at study baseline (CVD) by including an interaction term in the model. Data provided to the Secretariat were checked for completeness and consistency and recoded, when necessary, to maximize comparability across cohorts. Summary reports were referred back to principal investigators of each collaborating study for review and confirmation. Analyses were performed using SAS, version 9.2 and Stata version 11.
Baseline characteristics of participating studies in Australia and Asia in the Asia Pacific Cohort Studies Collaboration
Study name (Country)
WAAAA Screenees (Aus)
Aito Town (Japan)
Beijing Steelworkers (China)
Civil Service Workers (Japan)
East Beijing (China)
Guangzhou Occupational (China)
Seven Cities Cohorts (China)
Shigaraki Town (Japan)
Six Cohorts (China)
Systolic blood pressure
Body mass index
The categorical association between body mass index (BMI) and mortality from heart failure in the Asia Pacific Cohort Studies Collaboration
BMI category (kg/m2)
Age, sex and study adjusted
Age, sex, study, smoking adjusted
2-year left censored
HR (95% CI)
HR (95% CI)
HR (95% CI)
< 18.5 (underweight)
18.5 – 21.9 (normal, ref)
22 – 24.9
25 – 29.9 (overweight)
> 30 (obese)
Lifetime cigarette smoking
This study comprises the largest amount of prospective data to date on the relationship between major cardiovascular risk factors with HF mortality in populations from the Asia-Pacific region. The key findings from this individual participant data meta-analysis indicate positive and independent relationships between elevated blood pressure, obesity, diabetes and cigarette smoking with death from HF in Asians and non-Asians, but no evidence of an association with TC. With the possible exception for blood pressure, the relationships were consistent in those with and without a history of CVD at study baseline. Overall, these current findings are broadly consistent with those reported from Western population-based studies, including Framingham [24, 25] and NHANES . Both of these US studies reported hypertension to be a major, if not the leading, modifiable cause of incident HF in addition to diabetes, smoking and obesity [24, 25]. Comparative population-based data from Asia are sparse, but those derived from hospital-based studies have also indicated the frequently high co-occurrence of hypertension and diabetes among individuals hospitalized for HF .
That diabetes may also be an independent risk factor for incident HF was first shown by the Framingham study where a clinical history of diabetes was associated with a two-fold increased risk in men and a five-fold increased risk for women . Since then, numerous studies have reported higher incidence rates of HF among those with diabetes compared with those without the condition, as well as a relatively higher relative risk of HF in populations of women and young people [27, 28]. Data from the current study, confirmed an independent association between diabetes and mortality from HF for non-Asians and (to a lesser extent) Asians. That diabetes may have a slightly weaker association with mortality from HF in Asians than in non-Asians is an intriguing finding that warrants further investigation.
In the current study, a U-shaped association between BMI and mortality from HF was observed such that individuals who were either underweight or obese were at similarly greater risk of dying from HF compared with those of normal weight. This remained unaffected by adjustment for smoking, which may have operated as a confounder of the association given that smokers tend to be relatively leaner than their non-smoking counterparts. Efforts to reduce the impact of reverse causality by excluding the first two years of follow-up also had little impact on the relationship. Our observation that underweight is a risk factor for mortality from HF is tangentially supported by previous hospital-based studies that have shown patients with chronic HF who are underweight have a lower survival than those of normal weight or who are overweight or obese . The increased risk of HF death for underweight individuals may be due to cardiac cachexia, a wasting syndrome observed in patients with advanced HF that has no accepted definition but is characterized by significant weight loss in the absence of peripheral edema [30, 31]. Studies have demonstrated that many patients with advanced HF are malnourished, with a calorie and protein intake that is inadequate to meet their energy requirements [32, 33]. But, this is unlikely to account for all of the increased risk as even in the absence of cachexia studies have shown that the increased risk of HF for the underweight individual remains . The relationship between low BMI with increased risk of mortality from heart failure may also reflect pre-existing heart failure at study baseline. We did not have information on prevalent HF so could not examine this further but in the sensitivity analysis comparing those with and without a history of CVD at study baseline, the relationship between BMI with mortality from HF was the same. Perhaps of more relevance to Western countries, is the increased risk of mortality from HF for obese compared with relatively lean individuals that we, and other authors, have shown. In Framingham, for example, there was a continuous association between BMI and risk of new onset HF and each unit increase in BMI was associated with a 5% increase in the risk of HF for men and 7% for women .
The epidemiological literature describing the relationship between TC and mortality from HF is inconsistent; some studies have reported a positive  or inverse relation  between TC and mortality from HF, but others including NHANES have shown no association . In the current study there was no good evidence of an association between TC with mortality from HF –either positive or inverse- as shown by the confidence intervals around the point estimate spanning unity in both the unadjusted and adjusted models. This is consistent with randomized data from two clinical trials –CORONA  and GISSI-HF –which demonstrated that in patients with HF the incidence of cardiovascular events, which are greatly driven by non-atherosclerotic events, was not importantly affected with statin therapy. Moreover, the Cholesterol Treatment Trialist’s showed that LDL-cholesterol lowering with statin therapy has no benefit on cardiac deaths due to non-occlusive mechanisms, such as HF .
There are some important limitations of this analysis. The lack of a universal definition of HF, and between study differences in its diagnosis and reporting, may have introduced bias. For example, misdiagnosis of HF as stroke, myocardial infarction or IHD in the early 1990’s has been suggested to account for the observed increase in IHD mortality between 1990–1995 in Japan . In the current analysis, over half of the data from Asia were derived from Japanese cohorts, many of which were initiated in the early 1990’s. Therefore, it is conceivable that there was some under-reporting of mortality from HF in these cohorts; such misclassification is likely to draw estimates of association towards the null. We also did not have information on incident heart failure which precludes examination of the possible effects of reverse causality on the results (i.e. whether the association between a particular risk factor with mortality from heart failure is impacted by the development on heart failure at some point during follow-up). Another limitation of our data was the lack of information on rheumatic heart disease, coronary artery disease and Chagas’ disease, which are major causes of HF in South Asia and China  and which have been reported to be independent predictors of HF risk . Finally, we were unable to examine the relationships between emerging cardiovascular risk factors with HF. In a recent report from the Strong Heart Study, inflammatory markers were shown to be associated with incident HF, although the relationships were substantially attenuated after adjusting for more traditional coronary risk factors .
In summary, findings from this current study indicate that several traditional and modifiable cardiovascular risk factors, namely elevated blood pressure, diabetes, obesity and cigarette smoking, are independently associated with mortality from HF for Asian and non-Asian populations alike in a broadly consistent manner.
APCSC Executive Committee
M. Woodward (Chair), X. Fang, D.F. Gu, R. Huxley, Y. Imai, H.C. Kim, T.H. Lam, W.H. Pan, A. Rodgers, I. Suh, H. Ueshima
Participating Studies and Principal Collaborators in APCSC
Aito Town: A. Okayama, H. Ueshima, H. Maegawa; Akabane: M. Nakamura, N. Aoki; Anzhen02: Z.S. Wu; Anzhen: C.H. Yao, Z.S. Wu; Australian Longitudinal Study of Aging: Mary Luszcz; Australian National Heart Foundation: T.A. Welborn; Beijing Aging: Z. Tang; Beijing Steelworkers: L.S. Liu, J.X. Xie; Blood Donors’ Health: R. Norton, S. Ameratunga, S. MacMahon, G. Whitlock; Busselton: M.W. Knuiman; Canberra-Queanbeyan: H. Christensen; Capital Iron and Steel Company: X.G. Wu; CISCH: J. Zhou, X.H. Yu; Civil Service Workers: A. Tamakoshi; CVDFACTS: W.H. Pan; East Beijing: Z.L. Wu, L.Q. Chen, G.L. Shan; Electricity Generating Authority of Thailand: P. Sritara; Fangshan: D.F. Gu, X.F. Duan; Fletcher Challenge: S. MacMahon, R. Norton, G. Whitlock, R. Jackson; Guangzhou: Y.H. Li; Guangzhou Occupational: T.H. Lam, C.Q. Jiang; Hisayama: Y. Kiyohara, H. Arima, M. Iida; Hong Kong: J. Woo, S.C. Ho; Huashan: Z. Hong, M.S. Huang, B. Zhou; Kinmen: J.L. Fuh; Konan: H. Ueshima, Y. Kita, S.R. Choudhury; KMIC: I. Suh, S.H. Jee, I.S. Kim; Melbourne: G.G. Giles; Miyama: T. Hashimoto, K. Sakata; Newcastle: A. Dobson; Ohasama: Y. Imai, T. Ohkubo, A. Hozawa; Perth: the late K. Jamrozik, M. Hobbs, R. Broadhurst; Saitama: K. Nakachi; Seven Cities: X.H. Fang, S.C. Li, Q.D. Yang; Shanghai Factory Workers: Z.M. Chen; Shibata: H. Tanaka; Shigaraki Town: Y. Kita, A. Nozaki, H. Ueshima; Shirakawa: H. Horibe, Y. Matsutani, M. Kagaya; Singapore Heart: K. Hughes, J. Lee; Singapore NHS92: D. Heng, S.K. Chew; Six Cohorts: B.F. Zhou, H.Y. Zhang; Tanno/Soubetsu: K. Shimamoto, S. Saitoh; Tianjin: Z.Z. Li, H.Y. Zhang; Western Australia AAA Screenees: P. Norman, the late K. Jamrozik; Xi’an: Y. He, T.H. Lam; Yunnan: S.X. Yao.
We are grateful to Karice Hyun for preparing the forest plots and to Hirotsugu Ueshima for comments on an earlier draft.
This work was supported by Australian National Health and Medical Research Council (NHMRC) grant 571281; MW is supported by NHMRC fellowship 1020812.
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