non-HF Group Research Articles

Trends in Physical Activity Among US Adults With Heart Failure, 2007-2016.

Lack of physical activity (PA) is an important risk for heart failure (HF). The objective of this study was to examine PA trends in HF and non-HF participants from a nationally representative sample of US adults from 2007 to 2016. Work-related/recreational activities (min/wk) were calculated on the basis of the reported frequency, intensity, and duration, respectively. Multivariable analyses were performed using National Health and Nutrition Examination Survey data. Among 28 824 participants, younger (aged 18-64 yr) HF participants reported less PA time than non-HF groups, especially vigorous PA. Differences were found to be smaller in older (≥ 65 yr) participants. Overall, the percentage of younger participants who met PA guidelines was significantly lower in the HF individuals in work-related PA and total PA from 2007 to 2016 than in the non-HF participants (OR = 0.55: 95% CI, 0.39-0.59 for total PA, 0.45, 0.28-0.75 for vigorous work-related PA, and 0.68, 0.47-0.97 for moderate work-related PA, respectively). In older participants, only when considering total PA, the prevalence of meeting PA guidelines was significantly different between HF and non-HF groups (0.78, 0.62-0.98). Self-reported PA, especially vigorous activities, is much lower in older HF participants. However, the disparity in meeting PA guidelines between those with HF and without HF is remarkable in younger individuals. Future research should focus on better understanding the psychological and physical barriers to engaging in PA among HF patients.

Abstract 16766: Intraprocedural Ablation and Fluid Status Management in Heart Failure Patients Undergoing Catheter Ablation for Atrial Fibrillation

Background: Recent randomized clinical trial data has supported catheter ablation (CA) of atrial fibrillation (AF) in patients with heart failure (HF). Ablation and fluid management strategies could impact periprocedural outcomes especially in HF patients. Methods: We conducted a single-center retrospective analysis of 200 consecutive patients with and without HF undergoing CA at a tertiary care academic center from July 2017 through June 2018. HF was defined as any EF < 40%, prior inpatient admission for HF exacerbation, or ambulatory management of HF confirmed by independent chart review. Diuretic regimens were reported as furosemide equivalent. Results: Among 200 patients, 65 (32.5%) had HF and 135 (67.5%) did not. HF patients had longer mean procedure times (299.8 ± 96 min vs 268.4 ± 96 min, p = 0.03) and were more likely to require mitral isthmus (p < 0.001), posterior wall isolation (p = 0.002), and cavotriscupid isthmus (p = 0.004) ablations. There were no differences between the HF vs. non-HF groups’ intraprocedural volume intake, intraprocedural volume output, net fluid status, or intraprocedural diuretic dose (Table 1). HF patients received higher doses of IV (41.5 ± 43.0 mg vs 23.6 ± 11.8 mg, p = 0.007) and PO (43.2 ± 16.7 mg vs 26.7 ± 10.0 mg, p < 0.001) postprocedural diuretic. There were no differences in the rates of major in-hospital complications (Table 1). In a multivariable regression analysis adjusted for procedural covariates, there were higher proportions of posterior wall isolation (p = 0.01) as well as postprocedural PO (p = 0.01) and IV diuretic (p = 0.002) administration in the HF cohort. Conclusion: Intraprocedural volume and diuretic management was similar between HF and non-HF patients undergoing CA of AF, though HF patients tended to receive more aggressive diuresis post procedurally with no difference in complications. Table 1. Intra- and post-procedural management and outcomes in HF vs non-HF patients undergoing CA for AF

Expression profile of circular RNAs in epicardial adipose tissue in heart failure.

BackgroundRecent studies have reported circular RNA (circRNA) expression profiles in various tissue types; however, circRNA expression profile in human epicardial adipose tissue (EAT) remains undefined. This work aimed to compare circRNA expression patterns in EAT between the heart failure (HF) and non-HF groups.MethodsRNA-sequencing was carried out to compare circRNA expression patterns in EAT specimens from coronary artery disease cases between the HF and non-HF groups. Quantitative real-time polymerase chain reaction was performed for validation. Comparisons of patient characteristics between the two groups were using t test, Mann-Whitney U test, and Chi-squared test.ResultsA total of 141 circRNAs substantially different between the HF and non-HF groups (P < 0.05; fold change >2) were detected, including 56 up-regulated and 85 down-regulated. Among them, hsa_circ_0005565 stood out, for it had the highest fold change and was significantly increased in HF patients in quantitative real-time polymerase chain reaction validation. The top highly expressed EAT circRNAs corresponded to genes involved in cell proliferation and inflammatory response, including GSE1, RHOBTB3, HIPK3, UBXN7, PCMTD1, N4BP2L2, CFLAR, EPB41L2, FCHO2, FNDC3B, and SPECC1. The top enriched Gene Ontology term and Kyoto Encyclopedia of Genes and Genomes pathway were positive regulation of metabolic processes and insulin resistance, respectively.ConclusionThese data indicate EAT circRNAs may contribute to the pathogenesis of metabolic disorders causing HF.

Value of microalbuminuria in the diagnosis of heart failure with preserved ejection fraction.

Elevated microalbuminuria (MAU) levels have been demonstrated in patients with heart failure with reduced ejection fraction (HFrEF). However, nothing is known about MAU levels in patients with heart failure with preserved ejection fraction (HFpEF). Therefore, the aim of our study was to explore the relationship between MAU levels and HFpEF. The MAU and N‑terminal B‑type natriuretic peptide (NT-proBNP) concentrations were examined in 260 participants, including 160patients with HFpEF and 100 control subjects without HF. Echocardiography was performed on all study participants. The patients with HFpEF were divided into class II, III, or IV according to the New York Heart Association (NYHA) classification. The MAU levels in the HFpEF group were significantly higher than those in the non-HF group (58.97 ± 89.84 vs. 19.56 ± 29.34, p > 0.05). However, there was no significant difference in the levels of MAU among NYHA classII-IV patients in the HFpEF group (p > 0.05). In Pearson linear correlation analysis, MAU levels in the HFpEF group were positively correlated with left atrial diameter (LAD; r = 0.344, p < 0.05), but negatively correlated with hemoglobin (r = - 0.233, p < 0.05). The area under the ROC curve (AUC) of MAU for the diagnosis of HFpEF was 0.83 (95%CI [0.76, 0.90], p < 0.05), the sensitivity was 72.50%, and the specificity was 82.0%. The AUC of NT-proBNP was 0.88 (95%CI [0.83, 0.94], p < 0.05), the sensitivity was 82%, and the specificity was 73.8%. The AUC of MAU combined with NT-proBNP was 0.91 (95%CI [0.86, 0.96], p < 0.05). Our results show that MAU can be used as abiomarker for the diagnosis of HFpEF. Combined detection of MAU with NT-proBNP has clinical value in improving the accuracy of diagnosis of HFpEF. However, there is no significant correlation between MAU levels and the severity of HFpEF.

Prognostic value of D-dimer in acute myocardial infarction complicated by heart failure with preserved ejection fraction.

AimsThe prevalence of heart failure (HF) after acute myocardial infarction (AMI) is common. Contemporary data are lacking on the prognostic utility of the measurement of biomarker for patients with AMI complicated by HF according to preserved (HFpEF) and reduced ejection fraction (HFrEF). We aim to assess the association between D‐dimer levels and all‐cause mortality in patients with AMI complicated by different HF subtypes during hospitalization in the context of other risk factors.Methods and resultsWe enrolled 4495 patients with AMI with complete clinical and laboratory variable assessments in this cohort. D‐dimer levels were measured on admission immediately at baseline. We used Cox proportional hazards analysis to assess this association accounting for 18 relevant clinical variables. During the index hospitalization, 589 patients with AMI developed HFpEF, 513 patients with AMI developed HFrEF, and 3393 patients with AMI did not develop HF. The patients were divided into HFpEF, HFrEF, and non‐HF groups accordingly. The median length of follow‐up was 1 year (range: 1 to 24 months). During the whole follow‐up, 58 (15.5%), 107 (27.9%), and 96 (4.2%) of the patients experienced death event in HFpEF, HFrEF, and non‐HF groups, respectively. In each group, the patients were divided into high or low D‐dimer levels according to D‐dimer concentration (145 ng/mL). In the fully adjusted model, the risk of all‐cause mortality of those patients with high D‐dimer levels was 2.09 [95% confidence intervals (CI): 1.08 to 4.02, P = 0.02] times as high as the risk of patients with low D‐dimer levels in HFpEF group. When analysing D‐dimer as a continuous variable, this associations still existed. But there was no significant association between D‐dimer concentration and all‐cause mortality in HFrEF [hazard ratio (HR): 1.25, CI: 0.76 to 2.04, P = 0.37] or non‐HF (HR: 1.56, CI: 0.98 to 2.47, P = 0.06), respectively, after fully adjustment for other key clinical variables.ConclusionsHigh D‐dimer levels on admission were found to be strongly associated with the subsequent cumulative incidence of all‐cause mortality in patients with AMI complicated by HFpEF.

Clinical characteristics and outcomes of chronic heart failure in adult Takayasu arteritis: A cohort study of 163 patients

BackgroundChronic heart failure (CHF) is a serious complication and a major cause of mortality in patients with Takayasu arteritis (TA). We aimed to explore the clinical features and long-term outcomes in TA patients with CHF. Methods and resultsAdult TA patients admitted to our hospital between January 2009 to April 2018 were classified as HF and non-HF group. The adverse events were defined as a composite of all-cause mortality and hospitalization for HF. The outcome of the HF-group was further analyzed. A total of 61 HF patients and 102 non-HF patients were identified. In the HF group, the median age at assessment was 41.9 years, and female was predominant (82.0%). The multivariable logistic regression model revealed that pulmonary hypertension, aortic regurgitation, mitral regurgitation, level albumin, and uric acid were independently associated with CHF. After a median follow-up of 1347 days, 25 adverse events occurred in HF patients, and the 5-year event-free rate was 54.7%. The Cox model showed that coronary artery involvement, aortic regurgitation, without interventional treatment were related to adverse events. ConclusionsThe 5-year event-free rate was not satisfying. Aggressive intervention may decreased the likelihood of adverse events in patients with CHF.

Association of renal resistance index and arterial stiffness on clinical outcomes in patients with mild-to-moderate renal dysfunction and presence or absence of heart failure with preserved ejection fraction.

The renal arterial resistance index (RI) and the brachial-ankle pulse wave velocity (baPWV) are known as indicators of renal vascular resistance/systemic vascular damage and systemic arterial stiffness. The clinical significance of those parameters on clinical outcomes is poorly known in patients with and without heart failure with preserved ejection fraction (HFpEF). Baseline clinical data and the RI assessed by renal Doppler data, baPWV were obtained in patients with (HFpEF group, n = 60) and without HFpEF (non-HFpEF group, n = 51) who had a reduced estimated glomerular filtration rate (eGFR) of > 30 and < 60mL/min/1.73m2). We investigated the association between the RI and baPWV and major clinical outcomes including hospitalization for heart failure, cardiovascular death, myocardial infarction or unstable angina or other cardiovascular events and death from another cause. The RI and baPWV were greater in the HFpEF group than in the non-HF group (0.75 ± 0.07 vs. 0.69 ± 0.08, p <0.001; 2002 ± 430 vs. 1762 ± 300cm/s, p =0.001). The RI correlated significantly with baPWV in the HFpEF (r = 0.382, p = 0.003) and non-HFpEF groups (r = 0.414, p = 0.002). During the median follow-up period of 54months, major clinical outcomes occurred in 41 (36.9%) patients. The RI value, statin use and the presence of HFpEF were major factors for predicting clinical outcomes by multivariate analysis. Among the patients who had mild-to-moderate renal dysfunction, an increased RI and baPWV were observed in HFpEF patients as compared to non-HFpEF patients, but the baPWV similarly correlated with the RI value regardless of HFpFE patients or not. The strong association between the high RI value and presence of HFpEF and major clinical outcomes, suggests that not only the presence of HFpEF but also the high RI value may help to identify the high-risk patients leading to poor clinical outcomes.

Obesity-hypoventilation Syndrome: Baseline Hemodynamic Status and Impact of Non-invasive Ventilation

IntroductionObesity-hypoventilation syndrome (OHS) is a risk factor for heart failure (HF). Some studies associate the use of non-invasive ventilation (NIV) with changes in hemodynamic parameters. Our objective was to describe the hemodynamic status of a group of patients with OHS and to study the effect of NIV. Patients and methodsPatients with stable OHS treated with NIV were included in this cross-sectional repeated measurements study. Hemodynamics were measured by bioimpedance: 30min at baseline and another 30min on NIV. Cardiac output (CO), cardiac index, and systolic volume were measured. The CO calculated for each patient expressed as a percentage of the lower limit of normal (LLN) was taken as reference, and 2 groups were formed: patients without HF and normal CO (≥100% of LLN) and patients with HF and low CO (<100% of LLN). The Mann–Whitney U test was used to compare independent variables and the Wilcoxon test was used for paired variables, with significance set at P<.05. ResultsThe final sample comprised 36 patients, aged 66 (±8) years, 19 (52%) men. In 17 (46%) patients, HF was detected with a CO of 3.7l/min (66%) compared to the group without HF, whose CO was 7l/min (107%). After NIV, patients with HF showed improvement in CO 4.5l/min (77%), P=.009, while the non-HF group remained unchanged, with CO 6.8l/min (104%), P=.2. ConclusionA total of 46% of patients with stable OHS present HF; NIV improves hemodynamics and does not affect patients with normal CO.

FIBTEM Improves the Sensitivity of Hyperfibrinolysis Detection in Severe Trauma Patients: A Retrospective Study Using Thromboelastometry

Rotational thromboelastometry (ROTEM) can only detect high-degree hyperfibrinolysis (HF), despite being frequently used in trauma patients. We investigated whether considering FIBTEM HF (the presence of maximal lysis (ML) > 15%) could increase ROTEM-based HF detection’s sensitivity. This observational cohort study was performed at a level 1 trauma centre. Trauma patients with an Injury Severity Score (ISS) > 15 who underwent ROTEM in the emergency department between 2016 and 2017 were included. EXTEM HF was defined as ML > 15% in EXTEM. We compared mortality rates between EXTEM HF, FIBTEM HF, and non-HF patient groups. Overall, 402 patients were included, of whom 45% were men (mean age, 52.5 years; mean ISS, 27). The EXTEM HF (n = 37), FIBTEM HF (n = 132), and non-HF (n = 233) groups had mortality rates of 81.1%, 22.3%, and 10.3%, respectively. The twofold difference in mortality rates between the FIBTEM HF and non-HF groups remained statistically significant after Bonferroni correction (P = 0.01). On multivariable Cox regression analysis, FIBTEM HF was independently associated with in-hospital mortality (adjusted hazard ratio 2.15, 95% confidence interval 1.21–3.84, P = 0.009). Here, trauma patients with FIBTEM HF had significantly higher mortality rates than those without HF. FIBTEM be a valuable diagnostic method to improve HF detection’s sensitivity in trauma patients.

Effect of heart failure on postoperative short and long-term mortality in elderly patients with hip fracture

IntroductionWe designed a comparative study using elderly hip fracture patients with and without heart failure (HF). The purpose of this study was to assess 1) prevalence of HF, compare 2) early and late mortality after elderly hip fracture between HF and non-HF patients and to assess 3) risk factors of mortality after hip fractures in elderly patients with HF. In addition, we also investigated 4) whether there is a difference in mortality according to the severity of left ventricular (LV) systolic dysfunction classified by LV ejection fraction (EF) in HF patients through subgroup analysis. MethodsThis study included 1992 patients (1992 hips) who were diagnosed as having unilateral femoral neck or intertrochanteric fractures and who underwent surgery at two hospitals between January 2004 and June 2018. The patients were categorized into a non-HF group (1782 patients) and a HF group (210 patients; mild [119 patients] and moderate-to- severe HF subgroups [91 patients]). The cumulative crude mortality rate was calculated, and 30-day, 60-day, 3-month, 6-month, and 1-year mortality rates were compared between the non-HF and HF. Logistic regression analysis was conducted to identify independent factors associated with mortality. ResultsOf 1992 patients, 210 (10.5%) patients were diagnosed with HF. The 30-day, 60-day, 3-month, 6-month, and 1-year postoperative cumulative mortality rates were respectively 1.6%, 3.6%, 5.1%, 8.4%, and 12.9% in the non-HF group, and 5.7%, 9.5%, 12.4%, 17.1%, and 25.2% in the HF group (p ≤ 0.001). The factors that affected 1-year mortality were sex (OR, 2.10; 95% CI, 1.62–2.72; p < 0.001) and age (OR, 1.04; 95% CI, 1.02–1.06; p < 0.001) and presence of HF (OR, 1.62; 95% CI, 1.45–1.86; p = 0.005). In subgroup analysis, the factors that affected 30-day mortality were only moderate-to-severe HF (OR, 4.01; 95% CI, 1.10–8.78; p = 0.009). ConclusionsIn elderly patients with hip fracture, the comparison between the HF and non-HF patients revealed that HF was an independent factor of mortality at a minimum of 1-year follow-up, and severity of LV systolic dysfunction classified by LVEF in patients with hip fracture was also a risk factor of 30-day mortality.

Síndrome de obesidad-hipoventilación: situación hemodinámica basal e impacto de la ventilación no invasiva

IntroductionObesity-hypoventilation syndrome (OHS) is a risk factor for heart failure (HF). Some studies associate the use of non-invasive ventilation (NIV) with changes in hemodynamic parameters. Our objective was to describe the hemodynamic status of a group of patients with OHS and to study the effect of NIV. Patients and methodsPatients with stable OHS treated with NIV were included in this cross-sectional repeated measurements study. Hemodynamics were measured by bioimpedance: 30minutes at baseline and another 30minutes on NIV. Cardiac output (CO), cardiac index, and systolic volume were measured. The CO calculated for each patient expressed as a percentage of the lower limit of normal (LLN) was taken as reference, and 2 groups were formed: patients without HF and normal CO (≥ 100% of LLN) and patients with HF and low CO (< 100% of LLN). The Mann-Whitney U test was used to compare independent variables and the Wilcoxon test was used for paired variables, with significance set at P<.05. ResultsThe final sample comprised 36 patients, aged 66 (± 8) years, 19 (52%) men. In 17 (46%) patients, HF was detected with a CO of 3.7 l/min (66%) compared to the group without HF, whose CO was 7 l/min (107%). After NIV, patients with HF showed improvement in CO (4.5 l/min (77%), P=.009, while the non-HF group remained unchanged, with CO 6.8 l/min (104%), P=.2. ConclusionA total of 46% of patients with stable OHS present HF; NIV improves hemodynamics and does not affect patients with normal CO.

The association of ischaemic stroke in patients with heart failure without atrial flutter/fibrillation

PurposeThis study evaluated the association between ischaemic stroke (IS) and heart failure (HF) in the absence of atrial fibrillation (AF) or atrial flutter (AFL) using a population-based nation-wide cohort database.MethodNewly...

Effects of Hip Structure Analysis Variables on Hip Fracture: A Propensity Score Matching Study.

The purpose of this retrospective study was to compare the hip structural analysis (HSA) levels of patients with those of a hip fracture group. All patients with an initial hip fracture who were older than or equal to 65 years old and admitted to our hospital between March 2018 and January 2019 were eligible for this study. During the study period, 134 hip fracture patients aged 65 years and older were admitted to the study institution, and a total of 51 hip fracture patients were ultimately assigned to the patient group. Age, sex, body mass index (BMI), skeletal muscle index (SMI), and vitamin D were matched in the two groups (hip fracture (HF) group vs. non-hip fracture group) using propensity score matching (PSM) without any statistical differences. Following propensity score matching, 51 patients in the HF group and 51 patients in the non-HF group were included in the study, respectively. Hip axis length (p = 0.031), neck-shaft angle (p = 0.043), width of intertrochanter (p = 0.005), and femur shaft (p = 0.01) were found to be significantly higher in the HF group (107.31 (mean) ± 9.55 (standard deviation, SD), 131.11 ± 5.29, 5.57 ± 0.58, and 3.05 ± 0.23, respectively) than in the non-HF group (102.07 ± 14.15, 128.85 ± 5.81, 5.29 ± 0.38, and 2.92 ± 0.23, respectively). However, cross-sectional area (CSA) of femur neck (p = 0.005) and femur shaft (p = 0.01) as well as cortical thickness (CT) of femur neck (p = 0.031) and femur shaft (p = 0.031) were found to be significantly lower in the HF group (1.93 ± 0.44, 3.18 ± 0.83, 0.11 ± 0.02, and 0.38 ± 0.09, respectively) than in the non-HF group (2.12 ± 0.46, 3.57 ± 0.78, 0.13 ± 0.03, and 0.47 ± 0.11, respectively). The HSA showed excellent sensitivity (82.4% to 90.2%). HSA is an important factor in predicting the occurrence of hip fracture. Therefore, not only should bone mineral density (BMD) be considered clinically, but it is also important to look closely at HSA for risk of hip fracture.

PPARG2 Pro12Ala and TNFα -308G>A Polymorphisms Are Not Associated with Heart Failure Development in Patients with Ischemic Heart Disease after Coronary Artery Bypass Grafting.

TNFα and PPARγ are important modulators of metabolism, inflammation, and atherosclerosis. Coronary artery disease is the leading cause of heart failure (HF). The aim of the study was to assess whether polymorphisms of the TNFα (-308G>A) and PPARG2 (Pro12Ala) genes are associated with the risk of developing HF by patients with ischemic heart disease. Methods. 122 patients without HF (aged 63 ± 8.8 years, 85% males) with confirmed coronary artery disease qualified for coronary bypass grafting were enrolled in the study. After the procedure, they were screened for cardiac parameters. Those with elevated NT-proBNP or diminished left ventricular ejection fraction during follow-up were assigned to the HF group (n=78), and the remaining ones to the non-HF group (n=44). The TNFα -308G>A and PPARG2 Pro12Ala polymorphisms were detected using the TaqMan method. Results. The distributions of TNFα -308G>A and PPARG2 Pro12Ala did not differ between the HF and non-HF groups (-308G>A: 16% vs. 11.4% of alleles; Pro12Ala: 23.9% vs. 20.5% of alleles, respectively). IL-6 concentration in the plasma of TNFα A-allele carriers at months 1 and 12 after CABG was higher in the HF group compared to the non-HF group (1 month after CABG: 5.3 ± 3.4 vs. 3.1 ± 2.9, p<0.05; 12 months after CABG: 4.2 ± 3,9 vs. 1.4 ± 1.2, p<0.01, respectively). Both polymorphisms were not related to changes in the plasma TNFα concentration or other parameters related to HF. Conclusions. Our study did not reveal any correlation between the PPARG2 Pro12Ala and TNFα -308G>A polymorphisms and development of HF in patients with ischemic heart disease after coronary bypass grafting.

Serum Circulating miR-150 is a Predictor of Post-Acute Myocardial Infarction Heart Failure.

Patients with ischemic heart disease are associated with poor prognosis, and their number has increased globally. Therefore, biomarkers that could predict post-acute myocardial infarction (AMI) heart failure (HF) would be helpful to guide appropriate treatment. Based on the diagnosis on admission and results of echocardiogram performed on admission and 1 year after discharge, the current study recruited 54 patients with post-AMI HF, 59 patients with post-AMI non-HF, and 59 healthy controls. Eight candidate microRNAs (miRs) were screened through real-time quantitative PCR. Serum circulating miR-150 level in the post-AMI HF group was significantly lower than the post-AMI non-HF group (0.4 ± 0.3 versus 0.7 ± 0.3, P < 0.001). Further analysis showed that serum circulating miR-150 level was associated with ejection fraction (EF) 1 year after discharge (P < 0.001). Receiver operating characteristic curve (ROC) analysis found that area under the ROC (AUC) was 0.616 (95%CI = 0.511-0.721, P = 0.034) when BNP was used to predict post-AMI HF, whereas AUC improved to 0.764 (95%CI = 0.674-0.855, P < 0.001) when miR-150 was used. The combination of BNP and miR-150 significantly improved the AUC to 0.807 (95%CI = 0.727-0.886, P < 0.001). Finally, multivariate logistic regression analysis revealed that either LVEF on admission or serum circulating miR-150 level was independently associated with post-AMI HF. Serum circulating miR-150 is a novel biomarker to predict post-AMI HF. Further large sample prospective clinical research is needed to validate its role in the future.

Identification of potentially critical genes in the development of heart failure after ST-segment elevation myocardial infarction (STEMI).

Heart failure (HF) remains a common complication after acute ST-segment elevation myocardial infarction (STEMI). Here, we aim to identify critical genes related to the developed HF in patients with STEMI using bioinformatics analysis. The microarray data of GSE59867, including peripheral blood samples from nine patients with post-infarct HF and eight patients without post-infarct HF, were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) between HF and non-HF groups were screened by LIMMA package. Functional enrichment analyses of DEGs were conducted, followed by construction of a protein-protein interaction (PPI) network. The dynamic messenger RNA (mRNA) level of the hub genes during the follow-up was analyzed to further elucidate their role in HF development. A total of 58 upregulated and 75 downregulated DEGs were screen out. They were mainly enriched in biological processes about inflammatory response, extracellular matrix organization, response to cAMP, immune response, and positive regulation of cytosolic calcium ion concentration. Pathway analysis revealed that the DEGs were also involved in hematopoietic cell lineage, pathways in cancer, and extracellular matrix-receptor interaction. In the PPI network consisting of 58 nodes and 72 interactions, CXCL8 (degree = 15), THBS1 (degree = 8), FOS (degree = 7), and ITGA2B (degree = 6) were identified as the hub genes. In the comparison of patients with and without post-infarct HF, the mRNA level of these hub genes were all higher within 30 days but reached similar at 6 months after STEMI. In conclusion, CXCL8, THBS1, FOS, and ITGA2B may play important roles in the development of HF after acute STEMI.

Hypoglycaemia in hospitalized patients with or without heart failure.

Hospitalized patients with heart failure (HF) undergoing bedside glucose monitoring with subcutaneous insulin orders were retrospectively identified over 2 years. Hypoglycaemia was defined as any glucose value <3.9 mmol/L (70 mg/dL) within 24 hours of admission (Hypo1day ) or throughout the hospitalization (HypoT ) or any glucose value <2.2 mmol/L (40 mg/dL) throughout the hospitalization (HypoSevere ). A total of 13 424 patients were included, of whom 2484 had HF. Patients with HF were more likely to have Hypo1day (9.1% vs 7.0%, P = .0003), HypoT (28% vs 18.5%, P < .0001), or Hypo Severe (3.4% vs 2.1%, P = .0001). After controlling for other variables, the odds of Hypo1day were similar between the HF and non-HF groups (odds ratio [OR] 1.14, 95% CI 0.94-1.39, P = .18, fully adjusted model), slightly lower for HypoT (OR 0.85, 95% CI 0.73-0.99, P = .03, fully adjusted model), and similar for HypoSevere (OR 1.25, 95% CI 0.91-1.70, P = .17). Hypo1day , HypoT and HypoSevere were all associated with increased mortality; there was no evidence of an interaction by HF status. Hypoglycaemia occurred at a similar or lower frequency in hospitalized patients with HF compared to those without HF. Hypoglycaemia was associated with increased hospital mortality, regardless of HF status.

Electrocardiographic and echocardiographic findings in muscular dystrophy patients with heart failure.

Cardiac involvement in muscular dystrophy (MD) is known to cause heart failure (HF). However, little is known about the differences in electrocardiographic and echocardiographic findings between MD patients with and without the experience of hospitalization for HF. We retrospectively identified 95 MD patients (mean age at diagnosis of MD 41.1 ± 18.7years; males 64.2%), including nine (9.4%) patients who were hospitalized for HF (the HF group) and 86 (90.6%) patients who were not (the non-HF group) during the follow-up period (16.7 ± 12.2years). The HF group had a significantly wider QRS duration (126.0 ± 37.6 vs. 98.1 ± 16.7ms, p < 0.001) and QTc interval (454.6 ± 50.5 vs. 409.5 ± 23.6ms, p < 0.001) at the time of HF hospitalization than the non-HF group. The HF group also had a significantly lower left ventricular (LV) ejection fraction (35.4 ± 19.2 vs. 62.5 ± 11.3%, p < 0.001) and significantly larger diastolic LV dimension (64 ± 2 vs. 45 ± 1mm, p < 0.001) and left atrial diameter (38 ± 12 vs. 29 ± 6mm, p = 0.003) at the time of HF hospitalization than the non-HF group. In the HF group, the QRS duration was significantly wider at the time of HF hospitalization than at the initial electrocardiogram before the development of HF (129.8 ± 30.7 vs. 119.0 ± 33.3ms, p = 0.018). This study suggests that HF occurs in MD patients with electrocardiographic and echocardiographic abnormalities. Early recognition of abnormal findings during a regular electrocardiographic or echocardiographic follow-up may be useful for identifying cardiac involvement in MD.

Determinantes e impacto pronóstico de la insuficiencia cardiaca y la fracción de eyección del ventrículo izquierdo en el síndrome coronario agudo

Introduction and objectivesContemporary data on the incidence and prognosis of heart failure (HF) and the influence of left ventricular ejection fraction (LVEF) in the setting of acute coronary syndrome (ACS) are scant. The aim of this study was to examine the relationship between LVEF and HF with long-term prognosis in a cohort of patients with ACS. MethodsThis is a retrospective observational study of 6208 patients consecutively admitted for ACS to 2 different Spanish hospitals. Baseline characteristics were examined and a follow-up period was established for registration of death and HF rehospitalization as the primary endpoint. ResultsAmong the study participants, 5064 had ACS without HF during hospitalization: 290 (5.8%) had LVEF<40%, 540 (10.6%) LVEF 40% to 49%, and 4234 (83.6%) LVEF ≥ 50%. The remaining 1144 patients developed HF in the acute phase: 395 (34.6%) had LVEF<40%, 251 (21.9%) LVEF 40% to 49%, and 498 (43.5%) LVEF ≥ 50%. Patients with LVEF 40% to 49% had a demographic and clinical profile with intermediate features between the LVEF <40% and LVEF ≥ 50% groups. Kaplan-Meier curves showed that mortality and HF readmissions were statistically different depending on LVEF in the non-HF group but not in the HF group. Left ventricular ejection fraction ≥ 50% was an independent prognostic factor in the non-HF group only. ConclusionsIn ACS, long-term prognosis is considerably worse in patients who develop HF during hospitalization than in patients without HF, irrespective of LVEF. This parameter is a strong prognostic predictor only in patients without HF.Full English text available from: www.revespcardiol.org/en

Determinants and Prognostic Impact of Heart Failure and Left Ventricular Ejection Fraction in Acute Coronary Syndrome Settings

Introduction and objectivesContemporary data on the incidence and prognosis of heart failure (HF) and the influence of left ventricular ejection fraction (LVEF) in the setting of acute coronary syndrome (ACS) are scant. The aim of this study was to examine the relationship between LVEF and HF with long-term prognosis in a cohort of patients with ACS. MethodsThis is a retrospective observational study of 6208 patients consecutively admitted for ACS to 2 different Spanish hospitals. Baseline characteristics were examined and a follow-up period was established for registration of death and HF rehospitalization as the primary endpoint. ResultsAmong the study participants, 5064 had ACS without HF during hospitalization: 290 (5.8%) had LVEF<40%, 540 (10.6%) LVEF 40% to 49%, and 4234 (83.6%) LVEF ≥ 50%. The remaining 1144 patients developed HF in the acute phase: 395 (34.6%) had LVEF<40%, 251 (21.9%) LVEF 40% to 49%, and 498 (43.5%) LVEF ≥ 50%. Patients with LVEF 40% to 49% had a demographic and clinical profile with intermediate features between the LVEF <40% and LVEF ≥ 50% groups. Kaplan-Meier curves showed that mortality and HF readmissions were statistically different depending on LVEF in the non-HF group but not in the HF group. Left ventricular ejection fraction ≥ 50% was an independent prognostic factor in the non-HF group only. ConclusionsIn ACS, long-term prognosis is considerably worse in patients who develop HF during hospitalization than in patients without HF, irrespective of LVEF. This parameter is a strong prognostic predictor only in patients without HF.