Our findings suggest LA mechanical functional decays in association with increasing age and higher blood pressure, which seem to be compensated for by augmentation of atrial pump function. We have also provided age- and sex-stratified reference values for strain and SR based on a large-scale Asian population.
AimsThis study aimed to evaluate the prognostic significance of nutritional status in post‐discharge Asians with heart failure with preserved ejection fraction (HFpEF).Methods and resultsWe examined the prognostic implications of body mass index (BMI) and nutritional markers among consecutive patients hospitalized for HFpEF. Nutritional metrics were estimated by serum albumin (SA), prognostic nutritional index (PNI), Controlling Nutritional Status (CONUT) score, and geriatric nutritional risk index. Among 1120 patients (mean age: 77.2 ± 12.6 years, 39.4% men), mean SA levels, PNI, CONUT scores, and geriatric nutritional risk index were 3.3 ± 0.6 g/dL, 40.2 ± 8.7, 5.5 ± 2.1, and 95.9 ± 14.5, respectively. Lean body size, higher white blood cell counts and C‐reactive protein levels, anaemia, and lack of angiotensin blocker use were independently associated with malnutrition (defined by SA < 3.5 g/dL). Higher SA levels [hazard ratio (HR): 0.67 (95% confidence interval, CI: 0.53–0.85)], higher PNI [HR: 0.97 (95% CI: 0.95–0.99)], and higher geriatric nutritional risk index [HR: 0.98 (95% CI: 0.97–0.99)] (all P < 0.05) were all associated with longer survival, with higher CONUT score [HR: 1.08 (95% CI: 1.02–1.13)] exhibited higher mortality in Cox regression models and with higher SA levels/PNI but not BMI further contributing to the reduced rate of re‐hospitalization (both P < 0.05). Categorizing BMI (25 kg/m2 as cut‐off) and nutritional status showed significantly higher mortality rates among patients with lower BMI/malnutrition than among those with BMI/better nutrition (SA level, PNI, and CONUT score, all P < 0.01). Restricted cubic spline regression revealed a marked survival benefit of better nutrition with increasing BMI (adjusted P interaction for both SA level and PNI: <0.001; adjusted P interaction for CONUT score: 0.046).ConclusionsMalnutrition was frequently and strongly associated with systemic inflammation in Asian patients hospitalized for acute HFpEF. Our findings also indicate that nutrition may play a pivotal role in metabolic protection in this population.
Background Obesity, a known risk factor for cardiovascular disease and heart failure (HF), is associated with adverse cardiac remodeling in the general population. Little is known about how nutritional status modifies the relationship between obesity and outcomes. We aimed to investigate the association of obesity and nutritional status with clinical characteristics, echocardiographic changes, and clinical outcomes in the general community. Methods and findings We examined 5,300 consecutive asymptomatic Asian participants who were prospectively recruited in a cardiovascular health screening program (mean age 49.6 ± 11.4 years, 64.8% male) between June 2009 to December 2012. Clinical and echocardiographic characteristics were described in participants, stratified by combined subgroups of obesity and nutritional status. Obesity was indexed by body mass index (BMI) (low, ≤25 kg/m2 [lean]; high, >25 kg/m2 [obese]) (WHO-recommended Asian cutoffs). Nutritional status was defined primarily by serum albumin (SA) concentration (low, <45 g/L [malnourished]; high, ≥45 g/L [well-nourished]), and secondarily by the prognostic nutritional index (PNI) and Global Leadership Initiative on Malnutrition (GLIM) criteria. Cox proportional hazard models were used to examine a 1-year composite outcome of hospitalization for HF or all-cause mortality while adjusting for age, sex, and other clinical confounders. Our community-based cohort consisted of 2,096 (39.0%) lean–well-nourished (low BMI, high SA), 1,369 (25.8%) obese–well-nourished (high BMI, high SA), 1,154 (21.8%) lean–malnourished (low BMI, low SA), and 681 (12.8%) obese–malnourished (high BMI, low SA) individuals. Obese–malnourished participants were on average older (54.5 ± 11.4 years) and more often women (41%), with a higher mean waist circumference (91.7 ± 8.8 cm), the highest percentage of body fat (32%), and the highest prevalence of hypertension (32%), diabetes (12%), and history of cardiovascular disease (11%), compared to all other subgroups (all p < 0.001). N-terminal pro B-type natriuretic peptide (NT-proBNP) levels were substantially increased in the malnourished (versus well-nourished) groups, to a similar extent in lean (70.7 ± 177.3 versus 36.8 ± 40.4 pg/mL) and obese (73.1 ± 216.8 versus 33.2 ± 40.8 pg/mL) (p < 0.001 in both) participants. The obese–malnourished (high BMI, low SA) group also had greater left ventricular remodeling (left ventricular mass index, 44.2 ± 1.52 versus 33.8 ± 8.28 gm/m2; relative wall thickness 0.39 ± 0.05 versus 0.38 ± 0.06) and worse diastolic function (TDI-e′ 7.97 ± 2.16 versus 9.87 ± 2.47 cm/s; E/e′ 9.19 ± 3.01 versus 7.36 ± 2.31; left atrial volume index 19.5 ± 7.66 versus 14.9 ± 5.49 mL/m2) compared to the lean–well-nourished (low BMI, high SA) group, as well as all other subgroups (p < 0.001 for all). Over a median 3.6 years (interquartile range 2.5 to 4.8 years) of follow-up, the obese–malnourished group had the highest multivariable-adjusted risk of the composite outcome (hazard ratio [HR] 2.49, 95% CI 1.43 to 4.34, p = 0.001), followed by the lean–malnourished (HR 1.78, 95% CI 1.04 to 3.04, p = 0.034) and obese–well-nourished (HR 1.41, 95% CI 0.77 to 2.58, p = 0.27) groups (with lean–well-nourished group as reference). Results were similar when indexed by other anthropometric indices (waist circumference and body fat) and other measures of nutritional status (PNI and GLIM criteria). Potential selection bias and residual confounding were the main limitations of the study. Conclusions In our cohort study among asymptomatic community-based adults in Taiwan, we found that obese individuals with poor nutritional status have the highest comorbidity burden, the most adverse cardiac remodeling, and the least favorable composite outcome.
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