Chung‐Lieh Hung

AIMS: To characterize regional and ethnic differences in heart failure (HF) across Asia. METHODS AND RESULTS: . Majority (64%) of patients had two or more comorbid conditions such as hypertension (51.9%), coronary artery disease (CAD, 50.2%), or diabetes (40.4%). The prevalence of CAD was highest in Southeast Asians (58.8 vs. 38.2% in Northeast Asians). Compared with Chinese ethnicity, Malays (adjusted odds ratio [OR] 1.97, 95% CI 1.63-2.38) and Indians (OR 1.44, 95% CI 1.24-1.68) had higher odds of CAD, whereas Koreans (OR 0.38, 95% CI 0.29-0.50) and Japanese (OR 0.44, 95% CI 0.36-0.55) had lower odds. The prevalence of hypertension and diabetes was highest in Southeast Asians (64.2 and 49.3%, respectively) and high-income regions (59.7 and 46.2%, respectively). There was significant interaction between ethnicity and region, where the adjusted odds were 3.95 (95% CI 2.51-6.21) for hypertension and 4.91 (95% CI 3.07-7.87) for diabetes among Indians from high- vs. low-income regions; and 2.60 (95% CI 1.66-4.06) for hypertension and 2.62 (95% CI 1.73-3.97) for diabetes among Malays from high- vs. low-income regions. CONCLUSIONS: These first prospective multi-national data from Asia highlight the significant heterogeneity among Asian patients with stable HF, and the important influence of both ethnicity and regional income level on patient characteristics. CLINICALTRIALSGOV IDENTIFIER: NCT01633398.

Neutrophil-to-lymphocyte ratio (NLR) serves as a strong prognostic indicator for patients suffering from various diseases. Neutrophil activation promotes the recruitment of a number of different cell types that are involved in acute and chronic inflammation and are associated with cancer treatment outcome. Measurement of NLR, an established inflammation marker, is cost-effective, and it is likely that NLR can be used to predict the development of metabolic syndrome (MS) at an early stage. MS scores range from 1 to 5, and an elevated MS score indicates a greater risk for MS. Monitoring NLR can prevent the risk of MS.A total of 34,013 subjects were enrolled in this study. The subjects (score 0-5) within the 6 groups were classified according to the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) criteria, and all anthropometrics, laboratory biomarkers, and hematological measurements were recorded. For the 6 groups, statistical analysis and receiver operating characteristic (ROC) curves were used to identify the development of MS.Analysis of the ROC curve indicated that NLR served as a good predictor for MS. An MS score of 1 to 2 yielded an acceptable discrimination rate, and these rates were even higher for MS scores of 3 to 5 (P < .001), where the prevalence of MS was 30.8%.NLR can be used as a prognostic marker for several diseases, including those associated with MS.

BACKGROUND: Asians are predisposed to a lean heart failure (HF) phenotype. Data on the 'obesity paradox', reported in Western populations, are scarce in Asia and have only utilised the traditional classification of body mass index (BMI). We aimed to investigate the association between obesity (defined by BMI and abdominal measures) and HF outcomes in Asia. METHODS AND FINDINGS: Utilising the Asian Sudden Cardiac Death in Heart Failure (ASIAN-HF) registry (11 Asian regions including Taiwan, Hong Kong, China, India, Malaysia, Thailand, Singapore, Indonesia, Philippines, Japan, and Korea; 46 centres with enrolment between 1 October 2012 and 6 October 2016), we prospectively examined 5,964 patients with symptomatic HF (mean age 61.3 ± 13.3 years, 26% women, mean BMI 25.3 ± 5.3 kg/m2, 16% with HF with preserved ejection fraction [HFpEF; ejection fraction ≥ 50%]), among whom 2,051 also had waist-to-height ratio (WHtR) measurements (mean age 60.8 ± 12.9 years, 24% women, mean BMI 25.0 ± 5.2 kg/m2, 7% HFpEF). Patients were categorised by BMI quartiles or WHtR quartiles or 4 combined groups of BMI (low, <24.5 kg/m2 [lean], or high, ≥24.5 kg/m2 [obese]) and WHtR (low, <0.55 [thin], or high, ≥0.55 [fat]). Cox proportional hazards models were used to examine a 1-year composite outcome (HF hospitalisation or mortality). Across BMI quartiles, higher BMI was associated with lower risk of the composite outcome (ptrend < 0.001). Contrastingly, higher WHtR was associated with higher risk of the composite outcome. Individuals in the lean-fat group, with low BMI and high WHtR (13.9%), were more likely to be women (35.4%) and to be from low-income countries (47.7%) (predominantly in South/Southeast Asia), and had higher prevalence of diabetes (46%), worse quality of life scores (63.3 ± 24.2), and a higher rate of the composite outcome (51/232; 22%), compared to the other groups (p < 0.05 for all). Following multivariable adjustment, the lean-fat group had higher adjusted risk of the composite outcome (hazard ratio 1.93, 95% CI 1.17-3.18, p = 0.01), compared to the obese-thin group, with high BMI and low WHtR. Results were consistent across both HF subtypes (HFpEF and HF with reduced ejection fraction [HFrEF]; pinteraction = 0.355). Selection bias and residual confounding are potential limitations of such multinational observational registries. CONCLUSIONS: In this cohort of Asian patients with HF, the 'obesity paradox' is observed only when defined using BMI, with WHtR showing the opposite association with the composite outcome. Lean-fat patients, with high WHtR and low BMI, have the worst outcomes. A direct correlation between high WHtR and the composite outcome is apparent in both HFpEF and HFrEF. TRIAL REGISTRATION: Asian Sudden Cardiac Death in HF (ASIAN-HF) Registry ClinicalTrials.gov Identifier: NCT01633398.