Impact of heart rate changes during hospitalization on outcome in heart failure with preserved ejection fraction.

AIMS: The benefits of lowering heart rate (HR) in heart failure (HF) with preserved ejection fraction (HFpEF) patients are still a matter of debate. This study aimed to investigate the relationship between changes in HR during hospitalization and cardiovascular (CV) events and all-cause death in hospitalized HFpEF patients. METHODS AND RESULTS: Hospitalized HF patients between January 2017 and December 2021 were consecutively enrolled in a national, multicentred, and prospective registry database, the China Cardiovascular Association Database-HF Center Registry. HF patients with a left ventricular ejection fraction of ≥50% were defined as HFpEF patients. The study analysed admission/discharge HR, change in HR during hospitalization (∆HR), and ∆HR ratio (∆HR/admission HR). The patients were categorized into three groups: no HR dropping group (ΔHR ratio > 0.0%), moderate HR dropping group (-15% < ΔHR ratio ≤ 0.0%), and excessive HR dropping group (ΔHR ratio ≤ -15%). All patients were followed up for 12 months. The primary endpoint was CV events (CV death or HF rehospitalization). The secondary endpoint was all-cause death. A total of 19 510 HFpEF patients (9750 males, mean age 71.9 ± 12.2 years) were included, with 4575 in the no HR dropping group, 8434 in the moderate HR dropping group, and 6501 in the excessive HR dropping group. Excessive HR dropping during hospitalization was significantly associated with an increased risk of CV events (17.1%) compared with the no HR dropping group (14.5%, P < 0.001) or the moderate HR dropping group (14.0%, P < 0.001), although all-cause mortality was similar among the three groups. After adjusting for multiple confounding factors, excessive HR dropping remained an independent predictor of increased CV event risk [hazard ratio 1.197, 95% confidence interval (CI) 1.078-1.328]. Subgroup analysis revealed that the prognostic impact of excessive HR dropping on increased CV event risk remained in the subgroups of older age, New York Heart Association class IV, ischaemic HF, higher left ventricular ejection fraction, absence of chronic kidney disease, and use of beta-blockers or ivabradine. Independent determinants associated with excessive HR dropping during admission included use of beta-blockers [odds ratio (OR) 1.683, 95% CI 1.558-1.819], lower discharge diastolic blood pressure (OR 0.988, 95% CI 0.985-0.991), no pacemaker (OR 0.501, 95% CI 0.416-0.603), coexisting atrial fibrillation or atrial flutter (OR 1.327, 95% CI 1.218-1.445), and use of digoxin (OR 1.340, 95% CI 1.213-1.480). CONCLUSIONS: In hospitalized HFpEF patients, excessive HR dropping during hospitalization is associated with an increased risk of CV death or HF rehospitalization. These findings highlight the importance of HR monitoring and avoiding excessively slowing down HR in hospitalized HFpEF patients to reduce the risk of CV events.

Hybrid Threshold Denoising Framework Using Singular Value Decomposition for Side-Channel Analysis Preprocessing.

The traces used in side-channel analysis are essential to breaking the key of encryption and the signal quality greatly affects the correct rate of key guessing. Therefore, the preprocessing of side-channel traces plays an important role in side-channel analysis. The process of side-channel leakage signal acquisition is usually affected by internal circuit noise, external environmental noise, and other factors, so the collected signal is often mixed with strong noise. In order to extract the feature information of side-channel signals from very low signal-to-noise ratio traces, a hybrid threshold denoising framework using singular value decomposition is proposed for side-channel analysis preprocessing. This framework is based on singular value decomposition and introduces low-rank matrix approximation theory to improve the rank selection methods of singular value decomposition. This paper combines the hard threshold method of truncated singular value decomposition with the soft threshold method of singular value shrinkage damping and proposes a hybrid threshold denoising framework using singular value decomposition for the data preprocessing step of side-channel analysis as a general preprocessing method for non-profiled side-channel analysis. The data used in the experimental evaluation are from the raw traces of the public database of DPA contest V2 and AES_HD. The success rate curve of non-profiled side-channel analysis further confirms the effectiveness of the proposed framework. Moreover, the signal-to-noise ratio of traces is significantly improved after preprocessing, and the correlation with the correct key is also significantly enhanced. Experimental results on DPA v2 and AES_HD show that the proposed noise reduction framework can be effectively applied to the side-channel analysis preprocessing step, and can successfully improve the signal-to-noise ratio of the traces and the attack efficiency.

Clinical outcomes by serum potassium levels for patients hospitalized for heart failure: Secondary analysis of data from the China National Heart Failure Registry.

BACKGROUND: Dyskalemia is a mortality risk factor in patients with heart failure (HF). HYPOTHESIS: We described the prevalence of dyskalemia, and clinical outcomes by serum potassium (sK) levels, in Chinese patients hospitalized for HF. METHODS: In this secondary analysis of the prospective China National Heart Failure Registry, adult patients hospitalized between January 1, 2013 and June 30, 2015 who had at least one baseline sK measurement were followed for up to 3 years after discharge. The use of renin-angiotensin-aldosterone system inhibitors at baseline and clinical outcomes during follow-up were compared among sK groups. RESULTS: Among 6950 patients, 5529 (79.6%) had normokalemia (sK >3.5-5.0 mmol/L), 1113 (16.0%) had hypokalemia (sK 0-3.5 mmol/L), and 308 (4.4%) had hyperkalemia (sK >5.0 mmol/L). Baseline characteristics that were most common in patients with hyperkalemia than those with hypo- and normokalemia included older age, HF with reduced ejection fraction, New York Heart Association Class III/IV status, hypertension, and chronic kidney disease. Use of angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin receptor blockers (ARBs) differed across sK groups (p = .0001); reported in 64.1%, 63.4%, and 54.5% of patients with hypo-, normo-, and hyperkalemia, respectively. Overall, 26.6%, 28.6%, and 36.0% of patients with hypo-, normo-, and hyperkalemia had rehospitalization for worsened HF, or cardiovascular mortality; p = .0057 for between-group comparison. CONCLUSIONS: Patients with hyperkalemia received ACEIs or ARBs for HF treatment at baseline less frequently than those with hypo- or normokalemia, and had worse prognoses. This warrants further investigation into effective hyperkalemia management in HF.

Efficient Attack Scheme against SKINNY-64 Based on Algebraic Fault Analysis.

Lightweight block ciphers are normally used in low-power resource-constrained environments, while providing reliable and sufficient security. Therefore, it is important to study the security and reliability of lightweight block ciphers. SKINNY is a new lightweight tweakable block cipher. In this paper, we present an efficient attack scheme for SKINNY-64 based on algebraic fault analysis. The optimal fault injection location is given by analyzing the diffusion of a single-bit fault at different locations during the encryption process. At the same time, by combining the algebraic fault analysis method based on S-box decomposition, the master key can be recovered in an average time of 9 s using one fault. To the best of our knowledge, our proposed attack scheme requires fewer faults, is faster to solve, and has a higher success rate than other existing attack methods.

Side Channel Analysis of SPECK Based on Transfer Learning.

Although side-channel attacks based on deep learning are widely used in AES encryption algorithms, there is little research on lightweight algorithms. Lightweight algorithms have fewer nonlinear operations, so it is more difficult to attack successfully. Taking SPECK, a typical lightweight encryption algorithm, as an example, directly selecting the initial key as the label can only crack the first 16-bit key. In this regard, we evaluate the leakage of SPECK's operations (modular addition, XOR, shift), and finally select the result of XOR operation as the label, and successfully recover the last 48-bit key. Usually, the divide and conquer method often used in side-channel attacks not only needs to train multiple models, but also the different bytes of the key are regarded as unrelated individuals. Through the visualization method, we found that different key bytes overlap in the position of the complete electromagnetic leakage signal. That is, when SPECK generates a round key, there is a connection between different bytes of the key. In this regard, we propose a transfer learning method for different byte keys. This method can take advantage of the similarity of key bytes, improve the performance starting-point of the model, and reduce the convergence time of the model by 50%.

Enhancement of Regnase-1 expression with stem loop-targeting antisense oligonucleotides alleviates inflammatory diseases.

Regnase-1 is an ribonuclease that plays essential roles in restricting inflammation through degrading messenger RNAs (mRNAs) involved in immune reactions via the recognition of stem-loop (SL) structures in the 3' untranslated regions (3'UTRs). Dysregulated expression of Regnase-1 is associated with the pathogenesis of inflammatory and autoimmune diseases in mice and humans. Here, we developed a therapeutic strategy to suppress inflammatory responses by blocking Regnase-1 self-regulation, which was mediated by the simultaneous use of two antisense phosphorodiamidate morpholino oligonucleotides (MOs) to alter the binding of Regnase-1 toward the SL structures in its 3'UTR. Regnase-1-targeting MOs not only enhanced Regnase-1 expression by stabilizing mRNAs but also effectively reduced the expression of multiple proinflammatory transcripts that were controlled by Regnase-1 in macrophages. Intratracheal administration of Regnase-1-targeting MOs ameliorated acute respiratory distress syndrome and chronic fibrosis through suppression of inflammatory cascades. In addition, intracranial treatment with Regnase-1-targeting MOs attenuated the development of experimental autoimmune encephalomyelitis by promoting the expansion of homeostatic microglia and regulatory T cell populations. Regnase-1 expression was inversely correlated with disease severity in patients with multiple sclerosis, and MOs targeting human Regnase-1 SL structures were effective in mitigating cytokine production in human immune cells. Collectively, MO-mediated disruption of the Regnase-1 self-regulation pathway is a potential therapeutic strategy to enhance Regnase-1 abundance, which, in turn, provides therapeutic benefits for treating inflammatory diseases by suppressing inflammation.

TREM2 ameliorates anesthesia and surgery-induced cognitive impairment by regulating mitophagy and NLRP3 inflammasome in aged C57/BL6 mice.

Postoperative cognitive dysfunction (POCD) is a major postoperative complication. Triggering receptor expressed on myeloid cells 2 (TREM2) exerts a neuroprotective function against neuro-inflammatory responses. The present study investigated the role of TREM2 in anesthesia and surgery-induced cognitive impairment and the potential related mechanism. Our results revealed that TREM2 was downregulated, coupled with activation of the NLRP3 inflammasome and subsequent IL-1ß expression on postoperative day 3. A corresponding decline in PSD-95 and BDNF was found at the same time point. The key regulator of mitophagy PINK1 and Parkin protein levels were significantly decreased following surgery and anesthesia. TREM2 overexpression partially reversed postoperative cognitive impairment and enhanced PSD-95 and BDNF expression. TREM2 overexpression also improved mitophagy function and inhibited activation of the NLRP3 inflammasome and associated production of IL-1ß. Our findings demonstrate that TREM2 rescues anesthesia and surgery-induced spatial learning and memory impairment and neuro-inflammation in aged C57/BL6 mice, which may be at least partially mediated through the activation of mitophagy and subsequent inhibition of the NLRP3 inflammasome.

TREM2 Ameliorates Lipopolysaccharide-Induced Oxidative Stress Response and Neuroinflammation by Promoting Sirtuin3 in BV2 Cells.

Triggering receptor expressed on myeloid cells 2 (TREM2) plays a crucial role in modulating microglial-mediated neuroinflammation. The NAD-dependent deacetylase protein Sirtuin 3 (SIRT3) regulates mitochondrial oxidative stress response and neuroinflammation. TREM2 deficiency impairs the denovo synthesis pathway of NAD+. Therefore, the aim of this study was to investigate the potential role of TREM2 and SIRT3 in LPS-induced oxidative stress and neuroinflammation in BV2 cells. Lentivirus vector-mediated TREM2 overexpression (TREM2-OE) and corresponding negative control vector (TREM2-NC) were synthesized. BV2 cells were treated with LPS and/or TREM2-OE. 3-TYP, a selective SIRT3 inhibitor, was applied to determine the role of SIRT3 in the anti-oxidant and anti-inflammatory effects of TREM2. TREM2, SIRT3, NLRP3 inflammasome, caspase-1, postsynaptic density-95 (PSD-95), and brain derived neurotrophic factor (BDNF) were measured by Western blot analysis. Superoxide dismutase (SOD) was tested by SOD Assay Kit. Reactive oxygen species (ROS) expression was examined by immunofluorescence. Interleukin 1ß (IL-1ß) was determined by ELISA. Contents of NAD+ and NADH were detected by WST-8 method. LPS (1ug/ml for 24 h) significantly decreased TREM2 expression at both RNA and protein levels (p < 0.01 and p < 0.05, respectively). Lower levels of SIRT3 protein and NAD+ were also detected following LPS stimulation (p < 0.05 and p < 0.05, respectively). LPS significantly enhanced ROS, NLRP3, caspase-1, and IL-1ß expression (p < 0.01, p < 0.05, p < 0.05, and p < 0.01, respectively). PSD-95 and BDNF expression were decreased triggered by LPS (p < 0.05 and p < 0.05, respectively). TREM2 overexpression enhanced NAD+ and SIRT3 protein expression following LPS challenge in BV2 cells (p < 0.01 and p < 0.05, respectively). TREM2 alleviated LPS-induced oxidative stress and neuroinflammation (p < 0.01 and p < 0.05, respectively). Similarly, TREM2 overexpression upregulated PSD-95 and BDNF expression (p < 0.05 and p < 0.05, respectively). The anti-oxidant and anti-inflammatory effects of TREM2 were partially abrogated by SIRT3 antagonist 3-TYP (p < 0.05 and p < 0.05, respectively). Similarly, selective SIRT3 inhibition also partially abrogated TREM2-induced BDNF protein upregulation (p < 0.05) but failed to influence PSD-95 protein expression following LPS stimulation. LPS induces oxidative stress and neuroinflammation in BV2 cells, which may be mediated in part by the downregulation of TREM2 and SIRT3. TREM2 overexpression ameliorates LPS-induced oxidative stress and neuroinflammation through enhancing SIRT3 function via NAD+.

CD153/CD30 signaling promotes age-dependent tertiary lymphoid tissue expansion and kidney injury.

Tertiary lymphoid tissues (TLTs) facilitate local T and B cell interactions in chronically inflamed organs. However, the cells and molecular pathways that govern TLT formation are poorly defined. Here, we identified TNF superfamily CD153/CD30 signaling between 2 unique age-dependent lymphocyte subpopulations, CD153+PD-1+CD4+ senescence-associated T (SAT) cells and CD30+T-bet+ age-associated B cells (ABCs), as a driver for TLT expansion. SAT cells, which produced ABC-inducing factors IL-21 and IFN-γ, and ABCs progressively accumulated within TLTs in aged kidneys after injury. Notably, in kidney injury models, CD153 or CD30 deficiency impaired functional SAT cell induction, which resulted in reduced ABC numbers and attenuated TLT formation with improved inflammation, fibrosis, and renal function. Attenuated TLT formation after transplantation of CD153-deficient bone marrow further supported the importance of CD153 in immune cells. Clonal analysis revealed that SAT cells and ABCs in the kidneys arose from both local differentiation and recruitment from the spleen. In the synovium of aged rheumatoid arthritis patients, T peripheral helper/T follicular helper cells and ABCs also expressed CD153 and CD30, respectively. Together, our data reveal a previously unappreciated function of CD153/CD30 signaling in TLT formation and propose targeting the CD153/CD30 signaling pathway as a therapeutic target for slowing kidney disease progression.

Analysis of Electromagnetic Information Leakage Based on Cryptographic Integrated Circuits.

Cryptographic algorithm is the most commonly used method of information security protection for many devices. The secret key of cryptographic algorithm is usually stored in these devices' registers. In this paper, we propose an electromagnetic information leakage model to investigate the relationship between the electromagnetic leakage signal and the secret key. The registers are considered as electric dipole models to illustrate the source of the electromagnetic leakage. The equivalent circuit of the magnetic field probe is developed to bridge the output voltage and the electromagnetic leakage signal. Combining them, the electromagnetic information leakage model's function relationship can be established. Besides, an electromagnetic leakage model based on multiple linear regression is proposed to recover the secret key and the model's effectiveness is evaluated by guess entropy. Near field tests are conducted in an unshielded ordinary indoor environment to investigate the electromagnetic side-channel information leakage. The experiment result shows the correctness of the proposed electromagnetic leakage model and it can be used to recover the secret key of the cryptographic algorithm.

Increased ratio of sST2/LVMI predicted cardiovascular mortality and heart failure rehospitalization in heart failure with reduced ejection fraction patients: a prospective cohort study.

BACKGROUND: Inflammation is one of the principal triggering mechanisms for left ventricular fibrosis and remodeling in heart failure, leading to adverse clinical outcomes. Soluble suppression of tumorigenicity 2 (sST2), a member of the interleukin-1 receptor family, is assumed to play a significant role in the fibrotic response to inflammation. Left ventricular mass index (LVMI) is a parameter of the prefibrotic inflammatory phase of heart failure preceding remodeling. The present study aimed to investigate the prognostic value of the sST2/LVMI ratio in heart failure with reduced ejection fraction. METHODS: This was a prospective cohort study. A total of 45 consecutive patients with heart failure with reduced ejection fraction, treated between September 2015 and December 2016, were enrolled. The sST2/LVMI ratio was measured at baseline. The primary endpoint was a composite of cardiovascular mortality and readmission for heart failure. The prognostic impact of the sST2/LVMI ratio was evaluated using a multivariable Cox proportional hazards regression model. RESULTS: Forty-five patients were enrolled in this study. Their average age was 48 ± 14 years, and approximately 20% of them were men. Patients were followed for 9 months, during which the primary outcome occurred in 15 patients. Kaplan-Meier analysis showed that patients with a high sST2/LVMI ratio (≥ 0.39) had shorter event-free survival than those with intermediate (between 0.39 and 0.24) and low ratios (< 0.24) (log-rank, P = 0.022). The fully adjusted multivariable Cox regression analysis showed that the sST2/LVMI ratio was positively associated with the composite outcome in patients with heart failure with reduced ejection fraction after adjusting for confounders (hazard ratio 1.64, 95% confidence interval 1.06 to 2.54). By subgroup analysis, a stronger association was found with age between 40 and 55 years, systolic blood pressure < 115 or ≥ 129 mmHg, diastolic blood pressure < 74 mmHg, hematocrit < 44.5%, and interventricular septum thickness ≥ 8.5 mm. CONCLUSION: In patients with heart failure with reduced ejection fraction, the relationship between the sST2/LVMI ratio and the composite outcome was linear. A higher baseline ratio of sST2/LVMI was associated with an increased risk of cardiovascular mortality and heart failure rehospitalization in the short-term follow-up.

Association of Small Intestinal Bacterial Overgrowth With Heart Failure and Its Prediction for Short-Term Outcomes.

Background Small intestinal bacterial overgrowth (SIBO) is a common pathological condition of intestinal microbiota. The prevalence of SIBO and its prognostic value in patients with heart failure (HF) are unknown. Methods and Results A total of 287 patients tested for SIBO using lactulose hydrogen-methane breath test were evaluated. At least 1 of the following criteria fulfilled was SIBO positive: patients with fasting hydrogen level ≥20 parts per million (ppm) or a ≥20 ppm rise in hydrogen by 90 minutes were diagnosed with SIBO (H2) positive; and patients with methane levels ≥10 ppm at any test point were diagnosed with SIBO (CH4) positive. The association between SIBO and the composite of cardiovascular death and HF rehospitalization was investigated. In 287 consecutive patients with HF, 128 (45%) were positive for SIBO. Our result showed SIBO increased the risk of HF rehospitalization in patients with HF with reduced ejection fraction (P<0.001), and the risk of cardiovascular death in patients with HF with preserved EF (P=0.011). SIBO was an independent risk factor of primary end point in patients with HF (hazard ratio [HR], 2.13; 95% CI; 1.26-3.58; P=0.005). In addition, SIBO (CH4) showed a prognostic value on adverse outcomes (HR, 2.35; 95% CI, 1.38-4.02; P<0.001), whereas the association between SIBO (H2) and outcomes was not statistically significant. Conclusions There was high prevalence of SIBO in patients with HF, and SIBO was independently associated with poor outcomes. Proactive treatment for SIBO may provide extra benefit for patients with HF.

Alteration of m6A RNA Methylation in Heart Failure With Preserved Ejection Fraction.

Background: Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous disease, in which its pathogenesis is very complex and far from defined. Here, we explored the N6-methyladenosine (m6A) RNA methylation alteration in patients with HFpEF and mouse model of HFpEF. Methods: In this case-control study, peripheral blood mononuclear cells (PBMCs) were separated from peripheral blood samples obtained from 16 HFpEF patients and 24 healthy controls. The change of m6A regulators was detected by quantitative real-time PCR (RT-PCR). A "two-hit" mouse model of HFpEF was induced by a high-fat diet and drinking water with 0.5 g/L of N ω-nitro-l-arginine methyl ester (L-NAME). MeRIP-seq was used to map transcriptome-wide m6A in control mice and HFpEF mice, and the gene expression was high-throughput detected by RNA-seq. Results: The expression of m6A writers METTL3, METTL4, and KIAA1429; m6A eraser FTO; and reader YTHDF2 was up-regulated in HFpEF patients, compared with health controls. Furthermore, the expression of FTO was also elevated in HFpEF mice. A total of 661 m6A peaks were significantly changed by MeRIP-seq. Gene Ontology (GO) analysis revealed that protein folding, ubiquitin-dependent ERAD pathway, and positive regulation of RNA polymerase II were the three most significantly altered biological processes in HFpEF. The pathways including proteasome, protein processing in the endoplasmic reticulum, and PI3K-Akt signaling pathway were significantly changed in HFpEF by Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Conclusions: The expression pattern of m6A regulators and m6A landscape is changed in HFpEF. This uncovers a new transcription-independent mechanism of translation regulation. Therefore, our data suggest that the modulation of epitranscriptomic processes, such as m6A methylation, might be an interesting target for therapeutic interventions.

Hospital readmissions of patients with heart failure from real world: timing and associated risk factors.

AIMS: This study aims to investigate hospital readmissions and timing, as well as risk factors in a real world heart failure (HF) population. METHODS AND RESULTS: All patients discharged alive in 2016 from Sahlgrenska University Hospital/Östra, Gothenburg, Sweden, with a primary diagnosis of HF were consecutively included. Patient characteristics, type of HF, treatment, and follow-up were registered. Time to first all-cause or HF readmission, as well as number of 1 year readmissions from discharge were recorded. In total, 448 patients were included: 273 patients (mean age 78 ± 11.8 years) were readmitted for any cause within 1 year (readmission rate of 60.9%), and 175 patients (mean age 76.6 ± 13.7) were never readmitted. Among readmissions, 60.1% occurred during the first quarter after index hospitalization, giving a 3 month all-cause readmission rate of 36.6%. HF-related 1 year readmission rate was 38.4%. Patients who were readmitted had significantly more renal dysfunction (52.4% vs. 36.6%, P = 0.001), pulmonary disease (25.6% vs. 15.4%, P = 0.010), and psychiatric illness (24.9% vs. 12.0%, P = 0.001). Number of co-morbidities and readmissions were significantly associated (P < 0.001 for all cause readmission rate and P = 0.012 for 1 year HF readmission rate). Worsening HF constituted 63% of all-cause readmissions. Psychiatric disease was an independent risk factor for 1 month and 1 year all-cause readmissions. Poor compliance to medication was an independent risk factor for 1 month and 1 year HF readmission. CONCLUSIONS: In our real world cohort of HF patients, frequent hospital readmissions occurred in the early post-discharge period and were mainly driven by worsening HF. Co-morbidity was one of the most important factors for readmission.

Guideline-directed medical therapy in real-world heart failure patients with low blood pressure and renal dysfunction.

BACKGROUND: Among patients with heart failure and reduced ejection fraction (HFrEF), angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers (ACEI/ARB), ß-blockers (BB) and mineralocorticoid receptor antagonist (MRA) are known as guideline-directed medical therapy to improve prognosis. However, low blood pressure (BP) and renal dysfunction are often challenges prevent clinical implementation, so we investigated the association of different combinations of GDMT treatments with all-cause mortality in HFrEF population with low BP and renal dysfunction. METHODS: This study initially included 51, 060 HF patients from the Swedish Heart Failure Registry, and finally 1464 HFrEF patients with low BP (systolic BP ≦ 100 mmHg) and renal dysfunction (estimated glomerular filtration rate (eGFR) ≦ 60 ml/min/1.73m2) were ultimately enrolled. Patients were receiving oral medication for HF at study enrollment, and divided into four groups (group 1-4: ACEI/ARB + BB + MRA, ACEI/ARB + BB, ACEI/ARB + MRA or ACEI/ARB only, and other). The outcome is time to all-cause mortality. RESULTS: Among the study patients, 485 (33.1%), 672 (45.9%), 109 (7.4%) and 198 (13.5%) patients were in group 1-4. Patients in group 1 were younger, had highest hemoglobin, and most with EF < 30%. During a median of 1.33 years follow-up, 937 (64%) patients died. After adjustment for age, gender, LVEF, eGFR, hemoglobin when compared with the group 1, the hazard ratio for all-cause mortality in group 2 was 1.04 (0.89-1.21) (p = 0.62), group 3 1.40 (1.09-1.79) (p = 0.009), and group 4 1.71 (1.39-2.09) (p < 0.001). CONCLUSIONS: In real-world HFrEF patients with low BP and renal dysfunction, full medication of guideline-directed medical therapy is associated with improved survival. The benefit was larger close to the index date and decreased with follow-up time.

The impact of time-updated resting heart rate on cause-specific mortality in a random middle-aged male population: a lifetime follow-up.

BACKGROUND: A high resting heart rate (RHR) is associated with an increase in adverse events. However, the long-term prognostic value in a general population is unclear. We aimed to investigate the impact of RHR, based on both baseline and time-updated values, on mortality in a middle-aged male cohort. METHODS: A random population sample of 852 men, all born in 1913, was followed from age 50 until age 98, with repeated examinations including RHR over a period of 48 years. The impact of baseline and time-updated RHR on cause-specific mortality was assessed using Cox proportional hazard models and cubic spline models. RESULTS: A baseline RHR of ≥ 90 beats per minute (bpm) was associated with higher all-cause mortality, as compared with an RHR of 60-70 bpm (hazard ratio [HR] 1.60, 95% confidence interval [CI] 1.17-2.19, P = 0.003), but not with cardiovascular (CV) mortality. A time-updated RHR of < 60 bpm (HR 1.41, 95% CI 1.07-1.85, P = 0.014) and a time-updated RHR of 70-80 bpm (HR 1.34, 95% CI 1.02-1.75, P = 0.036) were both associated with higher CV mortality as compared with an RHR of 60-70 bpm after multivariable adjustment. Analyses using cubic spline models confirmed that the association of time-updated RHR with all-cause and CV mortality complied with a U-shaped curve with 60 bpm as a reference. CONCLUSION: In this middle-aged male cohort, a time-updated RHR of 60-70 bpm was associated with the lowest CV mortality, suggesting that a time-updated RHR could be a useful long-term prognostic index in the general population.

Qiliqiangxin Prescription Promotes Angiogenesis of Hypoxic Primary Rat Cardiac Microvascular Endothelial Cells via Regulating miR-21 Signaling.

BACKGROUND AND OBJECTIVE: Angiogenesis is the most important repair process of tissues subjected to ischemic injury. The present study aims to investigate whether the pro-angiogenic effect of Qiliqiangxin prescription (QL) is mediated through miR-21 signaling. METHODS: Cardiac microvascular endothelial cells (CMECs) were isolated and cultured from 2-3 weeks old SD rats by the method of planting myocardium tissues. The purity was identified by CD31 immunofluorescence staining. CMECs were then cultured under 1% O2 hypoxia or normoxia condition for 24h in the presence or absence of QL pretreatment (QL, 0.5mg/ml, 24h). The mimics and inhibitors of miR-21 were transfected into CMECs. miR-21, HIF-1α, and VEGF expressions of CMECs were then detected by qRT-PCR and/or Western blot. The proliferation, migration, and tube formation functions of CMECs were assessed using the BrdU assay, wound healing test, and tube formation assay, respectively. RESULTS: The results showed that compared with the control group, hypoxia significantly upregulated the expression of miR-21 and impaired CMECs proliferation, migration, and tube formation functions. Compared with the hypoxia group, QL further upregulated miR-21, HIF-1α, and VEGF expressions, and improved cell proliferation, migration, and tube formation of hypoxic CMECs. These effects of QL were abolished by a knockdown of miR-21. Conversely, treatment with miR-21 mimics further enhanced QL induced changes in hypoxic CMECs. CONCLUSION: Results indicate that the pro-angiogenesis effects of QL on hypoxic CMECs are mediated by activating miR-21 and its downstream HIF-1α/VEGF pathway possibly.

Trends in cause-specific readmissions in heart failure with preserved vs. reduced and mid-range ejection fraction.

AIMS: The aim of this study was to investigate whether the readmission of heart failure (HF) patients has decreased over time and how it differs among HF with preserved ejection fraction (EF) (HFpEF) vs. reduced EF (HFrEF) and mid-range EF (HFmrEF). METHODS AND RESULTS: We evaluated HF patients index hospitalized from January 2004 to December 2011 in the Swedish Heart Failure Registry with 1 year follow-up. Outcome measures were the first occurring all-cause, cardiovascular (CV), and HF readmissions. A total of 20 877 HF patients (11 064 HFrEF, 4215 HFmrEF, and 5562 HFpEF) were included in the study. All-cause readmission was the highest in patients with HFpEF, whereas CV and HF readmissions were the highest in HFrEF. From 2004 to 2011, HF readmission rates within 6 months (from 22.3% to 17.3%, P = 0.003) and 1 year (from 27.7% to 23.4%, P = 0.019) in HFpEF declined, and the risk for 1 year HF readmission in HFpEF was reduced by 7% after adjusting for age and sex (P = 0.022). Likewise, risk factors for HF readmission in HFpEF changed. However, no significant changes were observed in all-cause or CV readmission rates in HFpEF, and no significant changes in cause-specific readmissions were observed in HFrEF. Time to the first readmission did not change significantly from 2004 to 2011, regardless of EF subgroup (all P-values > 0.05). CONCLUSIONS: Declining temporal trend in HF readmission rates was found in HFpEF, but all-cause readmission still remained the highest in HFpEF vs. HFrEF and HFmrEF. More efforts are needed to reduce the non-HF-related readmission in patients with HFpEF.

An Effective Simulation Analysis of Transient Electromagnetic Multiple Faults.

Embedded encryption devices and smart sensors are vulnerable to physical attacks. Due to the continuous shrinking of chip size, laser injection, particle radiation and electromagnetic transient injection are possible methods that introduce transient multiple faults. In the fault analysis stage, the adversary is unclear about the actual number of faults injected. Typically, the single-nibble fault analysis encounters difficulties. Therefore, in this paper, we propose novel ciphertext-only impossible differentials that can analyze the number of random faults to six nibbles. We use the impossible differentials to exclude the secret key that definitely does not exist, and then gradually obtain the unique secret key through inverse difference equations. Using software simulation, we conducted 32,000 random multiple fault attacks on Midori. The experiments were carried out to verify the theoretical model of multiple fault attacks. We obtain the relationship between fault injection and information content. To reduce the number of fault attacks, we further optimized the fault attack method. The secret key can be obtained at least 11 times. The proposed ciphertext-only impossible differential analysis provides an effective method for random multiple faults analysis, which would be helpful for improving the security of block ciphers.

Exercise improves cardiac function and glucose metabolism in mice with experimental myocardial infarction through inhibiting HDAC4 and upregulating GLUT1 expression.

This study aims to determine the effect of exercise on the cardiac function, metabolic profiles and related molecular mechanisms in mice with ischemic-induced heart failure (HF). HF was induced by myocardial infarction (MI) in C57BL6/N mice. Cardiac function and physical endurance were improved in HF mice after exercise. Micro-PET/CT scanning revealed enhanced myocardial glucose uptake in vivo in HF mice after exercise. Exercise reduced mitochondrial structural damage in HF mice. Cardiomyocytes isolated from HF + exercise mice showed increased glycolysis capacity, respiratory function and ATP production. Both mRNA and protein expression of glucose transporter 1 (GLUT1) were upregulated after exercise. Results of ChIP-PCR revealed a novel interaction between transcription factor myocyte enhancer factor 2a (MEF2a) and GLUT1 in hearts of HF + exercise mice. Exercise also activated myocardial AMP-activated protein kinase (AMPK), which in turn phosphorylated histone deacetylase 4 (HDAC4), and thereby modulated the GLUT1 expression through reducing its inhibition on MEF2a in HF mice. Inhibition of HDAC4 also improved cardiac function in HF mice. Moreover, knockdown of GLUT1 impaired the systolic and diastolic function of isolated cardiomyocytes. In conclusion, exercise improves cardiac function and glucose metabolism in HF mice through inhibiting HDAC4 and upregulating GLUT1 expression.