The effect of antiarrhythmic medications on the risk of cardiovascular outcomes in patients with atrial fibrillation and coronary artery disease.

BACKGROUND: While current guidelines recommend amiodarone and dronedarone for rhythm control in patients with atrial fibrillation (AF) and coronary artery disease (CAD), there was no comparative study of antiarrhythmic drugs (AADs) on the cardiovascular outcomes in general practice. METHODS: This study included patients with AF and CAD who received their first prescription of amiodarone, class Ic AADs (flecainide, propafenone), dronedarone or sotalol between January 2016 and December 2020. The primary outcome was a composite of hospitalization for heart failure (HHF), stroke, acute myocardial infarction (AMI), and cardiovascular death. We used Cox proportional regression models, including with inverse probability of treatment weighting (IPTW), to estimate the relationship between AADs and cardiovascular outcomes. RESULTS: Among the AF cohort consisting of 8752 patients, 1996 individuals had CAD, including 477 who took dronedarone and 1519 who took other AADs. After a median follow-up of 38 months, 46.3% of patients who took dronedarone and 54.4% of patients who took other AADs experienced cardiovascular events. Compared to dronedarone, the use of other AADs was associated with increased cardiovascular events after adjusting for covariates (hazard ratio [HR] 1.531, 95% confidence interval [CI] 1.112-2.141, p = 0.023) and IPTW (HR 1.491, 95% CI 1.174-1.992, p = 0.012). The secondary analysis showed that amiodarone and class Ic drugs were associated with an increased risk of HHF. The low number of subjects in the sotalol group limits data interpretation. CONCLUSION: For patients with AF and CAD, dronedarone was associated with better cardiovascular outcomes than other AADs. Amiodarone and class Ic AADs were associated with a higher risk of cardiovascular events, particularly HHF.

Left Ventricular Segmentation, Warping, and Myocardial Registration for Automated Strain Measurement.

The left ventricular global longitudinal strain (LVGLS) is a crucial prognostic indicator. However, inconsistencies in measurements due to the speckle tracking algorithm and manual adjustments have hindered its standardization and democratization. To solve this issue, we proposed a fully automated strain measurement by artificial intelligence-assisted LV segmentation contours. The LV segmentation model was trained from echocardiograms of 368 adults (11,125 frames). We compared the registration-like effects of dynamic time warping (DTW) with speckle tracking on a synthetic echocardiographic dataset in experiment-1. In experiment-2, we enrolled 80 patients to compare the DTW method with commercially available software. In experiment-3, we combined the segmentation model and DTW method to create the artificial intelligence (AI)-DTW method, which was then tested on 40 patients with general LV morphology, 20 with dilated cardiomyopathy (DCMP), and 20 with transthyretin-associated cardiac amyloidosis (ATTR-CA), 20 with severe aortic stenosis (AS), and 20 with severe mitral regurgitation (MR). Experiments-1 and -2 revealed that the DTW method is consistent with dedicated software. In experiment-3, the AI-DTW strain method showed comparable results for general LV morphology (bias - 0.137 ± 0.398%), DCMP (- 0.397 ± 0.607%), ATTR-CA (0.095 ± 0.581%), AS (0.334 ± 0.358%), and MR (0.237 ± 0.490%). Moreover, the strain curves showed a high correlation in their characteristics, with R-squared values of 0.8879-0.9452 for those LV morphology in experiment-3. Measuring LVGLS through dynamic warping of segmentation contour is a feasible method compared to traditional tracking techniques. This approach has the potential to decrease the need for manual demarcation and make LVGLS measurements more efficient and user-friendly for daily practice.

Predicting impaired cardiopulmonary exercise capacity in patients with atrial fibrillation using a simple echocardiographic marker.

BACKGROUND: Exercise intolerance is a common symptom associated with atrial fibrillation (AF). However, echocardiographic markers that can predict impaired exercise capacity are lacking. OBJECTIVE: This study aimed to investigate the association between echocardiographic parameters and exercise capacity assessed by cardiopulmonary exercise testing in patients with AF. METHODS: This single-center prospective study enrolled patients with AF who underwent echocardiography and cardiopulmonary exercise testing to evaluate exercise capacity at a tertiary center for AF management from 2020 to 2022. Patients with valvular heart disease, reduced left ventricular ejection fraction, or documented cardiomyopathy were excluded. RESULTS: Of the 188 patients, 134 (71.2%) exhibited impaired exercise capacity (peak oxygen consumption ≤85%), including 4 (2.1%) having poor exercise capacity (peak oxygen consumption <50%). Echocardiographic findings revealed that these patients had an enlarged left atrial end-systolic diameter (LA); smaller left ventricular end-diastolic diameter (LVEDD); and increased relative wall thickness, tricuspid regurgitation velocity, and LA/LVEDD and E/e' ratios. In addition, they exhibited lower peak systolic velocity of the mitral annulus and LA reservoir strain. In the multivariate regression model, LA/LVEDD remained the only significant echocardiographic parameter after adjustment for age, sex, and body mass index (P = .020). This significance persisted even after incorporation of heart rate reserve, N-terminal pro-B-type natriuretic peptide level, and beta-blocker use into the model. CONCLUSION: In patients with AF, LA/LVEDD is strongly associated with exercise capacity. Further follow-up and validation are necessary to clarify its clinical implications in patient care.

Long-term Effect of Thyrotropin-binding Inhibitor Immunoglobulin on Atrial Fibrillation in Euthyroid Patients.

OBJECTIVE: Individuals with hyperthyroidism are at an increased risk of atrial fibrillation (AF), but the association between autoantibodies and AF or cardiovascular mortality in individuals who have returned to normal thyroid function remains unclear. METHODS: The study utilized electronic medical records from National Taiwan University Hospital between 2000 and 2022. Each hyperthyroidism patient had at least 1 thyrotropin-binding inhibiting immunoglobulin (TBII) measurement. The relationship between TBII levels and the risk of AF and cardiovascular mortality was assessed using multivariable Cox regression models and Kaplan-Meier survival analysis. RESULTS: Among the 14 618 enrolled patients over a 20-year timeframe, 173 individuals developed AF, while 46 experienced cardiovascular mortality. TBII values exceeding 35% were significantly associated with an elevated risk of AF for both the first TBII (hazard ratio {HR} 1.48 [1.05-2.08], P = .027) and mean TBII (HR 1.91 [1.37-2.65], P < .001). Furthermore, after free T4 levels had normalized, a borderline association between first TBII and AF (HR 1.59 [0.99-2.56], P = .056) was observed, while higher mean TBII increased AF (HR 1.78 [1.11-2.85], P = .017). Higher first and mean TBII burden continued to significantly impact the incidence of cardiovascular mortality (HR 6.73 [1.42-31.82], P = .016; 7.87 [1.66-37.20], P = .009). Kaplan-Meier analysis demonstrated that elevated TBII levels increased the risk of AF and cardiac mortality (log-rank P = .035 and .027, respectively). CONCLUSION: In euthyroid individuals following antithyroid treatment, elevated circulating TBII levels and burden are associated with an elevated risk of long-term incident AF and cardiovascular mortality. Further reduction of TBII level below 35% will benefit to clinical outcomes.

A non-invasive nomogram for predicting heart failure with preserved ejection fraction in taiwanese outpatients with unexplained dyspnea and fatigue.

BACKGROUND: While Reddy proposed the H2FPEF diagnostic algorithm to aid in diagnosing heart failure with preserved ejection fraction (HFpEF), certain parameters like age and obesity are not suitable for Asian population, especially given the increasing incidence of HFpEF in younger individuals. Therefore, this study aimed to develop an easy-to-use nomogram with non-invasive indices that can be used in outpatient clinics in Taiwan to quickly estimate the probability of HFpEF and help decide whether further invasive cardiopulmonary exercise test (CPET) is needed. METHODS: Outpatients with unexplained dyspnea and fatigue were recruited divided into HFpEF (n = 64) and non-HFpEF (n = 34) groups based on invasive CPET and echocardiography. Multivariate logistic regression analyses identified independent noninvasive variables for developing an HFpEF nomogram. The nomogram's performance was assessed and validated using the concordance index (C-index), area under the curve (AUC), calibration curves, and decision curve analysis. RESULTS: Multivariate logistic regression analyses identified five independent noninvasive variables for developing an HFpEF nomogram, including dyslipidemia (OR = 5.264, p = 0.010), diabetes (OR = 3.929, p = 0.050), left atrial area (OR = 1.130, p = 0.046), hemoglobin <13 g/dL (OR = 5.372, p = 0.010), and NT-proBNP ≥245 pg/mL (OR = 5.108, p = 0.027). The nomogram showed good discriminatory ability (C-index = 0.842) and calibration performance (p = 0.873) and high net benefit (0.1-0.95). Notably, the HFpEF nomogram showed better diagnostic accuracy than the H2FPEF score model in predicting Taiwanese HFpEF patients (AUC: 0.873 vs. 0.608, p = 0.0006). CONCLUSION: The noninvasive HFpEF nomogram provides a preliminary estimation of the probability of HFpEF in Taiwanese outpatients with unexplained dyspnea and fatigue, which may help the decision-making on further invasive CPET.

Transposable elements impact the population divergence of rice blast fungus Magnaporthe oryzae.

Dynamic transposition of transposable elements (TEs) in fungal pathogens has significant impact on genome stability, gene expression, and virulence to the host. In Magnaporthe oryzae, genome plasticity resulting from TE insertion is a major driving force leading to the rapid evolution and diversification of this fungus. Despite their importance in M. oryzae population evolution and divergence, our understanding of TEs in this context remains limited. Here, we conducted a genome-wide analysis of TE transposition dynamics in the 11 most abundant TE families in M. oryzae populations. Our results show that these TEs have specifically expanded in recently isolated M. oryzae rice populations, with the presence/absence polymorphism of TE insertions highly concordant with population divergence on Geng/Japonica and Xian/Indica rice cultivars. Notably, the genes targeted by clade-specific TEs showed clade-specific expression patterns and are involved in the pathogenic process, suggesting a transcriptional regulation of TEs on targeted genes. Our study provides a comprehensive analysis of TEs in M. oryzae populations and demonstrates a crucial role of recent TE bursts in adaptive evolution and diversification of the M. oryzae rice-infecting lineage. IMPORTANCE: Magnaporthe oryzae is the causal agent of the destructive blast disease, which caused massive loss of yield annually worldwide. The fungus diverged into distinct clades during adaptation toward the two rice subspecies, Xian/Indica and Geng/Japonica. Although the role of TEs in the adaptive evolution was well established, mechanisms underlying how TEs promote the population divergence of M. oryzae remain largely unknown. In this study, we reported that TEs shape the population divergence of M. oryzae by differentially regulating gene expression between Xian/Indica-infecting and Geng/Japonica-infecting populations. Our results revealed a TE insertion-mediated gene expression adaption that led to the divergence of M. oryzae population infecting different rice subspecies.

Novel scoring system derived from meta-analysis and validated in cohort population for predicting 1-year atrial fibrillation recurrence after cryoballoon catheter ablation: The HeLPS-Cryo score.

BACKGROUND: Atrial fibrillation (AF) recurrence rates in 1 year after cryoballoon ablation catheter (CBCA) are still high. We purposed to identify strong predictors for AF recurrence after the successful CBCA procedure and develop a new scoring system based only on pre-procedural parameters. METHODS: In the derivation phase, a systematic review and meta-analysis identified the strong predictors of AF recurrence after the CBCA. The pooled hazard ratio (HR) was used to create the new scoring system. The second phase validated the new scoring system in the cohort population. RESULTS: A meta-analysis including 29 cohort studies with 16196 participants confirmed that persistent AF, stroke, heart failure, and left atrial diameter (LAD) >40 mm were powerful predictors for AF recurrence after the CBCA procedure. The HeLPS-Cryo (heart failure [1], left atrial dilatation [1], persistent AF [2], and stroke [2]) was developed based on those pre-procedural predictors. It was validated in 140 patients receiving CBCA procedures and revealed excellent predictive performance for 1-year AF recurrence (AUC = 0.8877; 95% CI = 0.8208 to 0.9546). The HeLPS-Cryo score of ≥3 could predict 1-year AF recurrence with sensitivity and specificity of 78.9% and 87.9%, respectively. The positive predictive value was 66.7%, and the negative predictive value was 93.1%. CONCLUSION: The HeLPS-Cryo score can help the physician estimate the probability of 1-year AF recurrence after the successful CBCA procedure. Patients with HeLPS-Cryo score <3 are good candidates for the CBCA procedure.

Sex-based differences in obstructive sleep apnea and atrial fibrillation: Implication of atrial fibrillation burden.

Background: Obstructive sleep apnea (OSA) is a risk factor for atrial fibrillation (AF); however, it is unclear whether AF increases the risk of OSA. Furthermore, sex differences among patients with both AF and OSA remain unclear. We aimed to determine the association between an increased AF burden and OSA and investigate the differences in clinical characteristics between women and men with AF and OSA. Methods: This was a descriptive, cross-sectional analysis from a prospective cohort study. Patients with non-valvular AF were recruited from the cardiac electrophysiology clinic of a tertiary center; they underwent a home sleep apnea test and 14-day ambulatory electrocardiography. Moderate-to-severe OSA was defined as an apnea-hypopnea index of ≥15. Results: Of 320 patients with AF, 53.4% had moderate-to-severe OSA, and the mean body mass index (BMI) was 25.6 kg/m2. Less women (38.2%) had moderate-to-severe OSA than men (59.3%) (p < 0.001). In the multivariate analysis, age, being a man, and BMI were significantly associated with moderate-to-severe OSA. AF burden was associated with moderate-to-severe OSA only in men (odds ratio: 1.008; 95% confidence interval: 1.001-1.014). Women and men with OSA had similar BMI (p = 0.526) and OSA severity (p = 0.754), but women were older than men (70.1 ± 1.3 vs. 63.1 ± 0.9 years, p < 0.001). Women with moderate-to-severe OSA had a lower AF burden than men did (27.6 ± 7.1 vs. 49.5 ± 3.9%, p = 0.009). Conclusions: AF burden is a sex-specific risk factor for OSA and is limited to men. In contrast, women with both AF and OSA have a lower AF burden than men, despite being older and having similar OSA severity and body habitus. Thus, AF may develop later in women with OSA than in men.

A transferable in-silico augmented ischemic model for virtual myocardial perfusion imaging and myocardial infarction detection.

This paper proposes an innovative approach to generate a generalized myocardial ischemia database by modeling the virtual electrophysiology of the heart and the 12-lead electrocardiography projected by the in-silico model can serve as a ready-to-use database for automatic myocardial infarction/ischemia (MI) localization and classification. Although the virtual heart can be created by an established technique combining the cell model with personalized heart geometry to observe the spatial propagation of depolarization and repolarization waves, we developed a strategy based on the clinical pathophysiology of MI to generate a heterogeneous database with a generic heart while maintaining clinical relevance and reduced computational complexity. First, the virtual heart is simplified into 11 regions that match the types and locations, which can be diagnosed by 12-lead ECG; the major arteries were divided into 3-5 segments from the upstream to the downstream based on the general anatomy. Second, the stenosis or infarction of the major or minor coronary artery branches can cause different perfusion drops and infarct sizes. We simulated the ischemic sites in different branches of the arteries by meandering the infarction location to elaborate on possible ECG representations, which alters the infraction's size and changes the transmembrane potential (TMP) of the myocytes associated with different levels of perfusion drop. A total of 8190 different case combinations of cardiac potentials with ischemia and MI were simulated, and the corresponding ECGs were generated by forward calculations. Finally, we trained and validated our in-silico database with a sparse representation classification (SRC) and tested the transferability of the model on the real-world Physikalisch Technische Bundesanstalt (PTB) database. The overall accuracies for localizing the MI region on the PTB data achieved 0.86, which is only 2% drop compared to that derived from the simulated database (0.88). In summary, we have shown a proof-of-concept for transferring an in-silico model to real-world database to compensate for insufficient data.

N-acetyltransferase NAT10 controls cell fates via connecting mRNA cytidine acetylation to chromatin signaling.

Cell fate transition involves dynamic changes of gene regulatory network and chromatin landscape, requiring multiple levels of regulation, yet the cross-talk between epitranscriptomic modification and chromatin signaling remains largely unknown. Here, we uncover that suppression of N-acetyltransferase 10 (NAT10), the writer for mRNA N4-acetylcytidine (ac4C) modification, can notably affect human embryonic stem cell (hESC) lineage differentiation and pluripotent reprogramming. With integrative analysis, we identify that NAT10-mediated ac4C modification regulates the protein levels of a subset of its targets, which are strongly enriched for fate-instructive chromatin regulators, and among them, histone chaperone ANP32B is experimentally verified and functionally relevant. Furthermore, NAT10-ac4C-ANP32B axis can modulate the chromatin landscape of their downstream genes (e.g., key regulators of Wnt and TGFß pathways). Collectively, we show that NAT10 is an essential regulator of cellular plasticity, and its catalyzed mRNA cytidine acetylation represents a critical layer of epitranscriptomic modulation and uncover a previously unrecognized, direct cross-talk between epitranscriptomic modification and chromatin signaling during cell fate transitions.

Post-exercise left atrial conduit strain predicted hemodynamic change in heart failure with preserved ejection fraction.

OBJECTIVES: Left ventricle function directly impacts left atrial (LA) conduit function, and LA conduit strain is associated with exercise intolerance in patients with heart failure with preserved ejection fraction (HFpEF). Pulmonary capillary wedge pressure (PCWP) before and during exercise is the current gold standard for diagnosing HFpEF. Post-exercise ΔPCWP can lead to worse long-term outcomes. This study examined the correlation between LA strain and post-exercise ΔPCWP in patients with HFpEF. METHODS: We enrolled 100 subjects, including 74 with HFpEF and 26 with non-cardiac dyspnea, from November 2017 to December 2020. Subjects underwent echocardiography, invasive cardiac catheterization, and expired gas analysis at rest and during exercise. Arterial blood pressure, right atrial pressure, pulmonary artery pressure, and PCWP were recorded during cardiac catheterization. Cardiac output, stroke volume, pulmonary vascular resistance, pulmonary artery compliance, systemic vascular resistance, and LV stroke work were calculated using standard formulas. RESULTS: Exercise LA conduit strain significantly correlated with both post-exercise ΔPCWP (r = - 0.707, p < 0.001) and exercise PCWP (r = - 0.659; p < 0.001). Exercise LA conduit strain differentiated patients who did and did not meet the 2016 European Society of Cardiology HFpEF criteria with an area under the curve of 0.69 (95% confidence interval, 0.548-0.831) using a cutoff value of 14.25, with a sensitivity of 0.64 and a specificity of 0.68. CONCLUSIONS: Exercise LA conduit strain significantly correlates with post-exercise ΔPCWP and has a comparable power to identify patients with HFpEF. Additional studies are warranted to confirm the ability of LA conduit strain to predict long-term outcomes among patients with HFpEF. CLINICAL RELEVANCE STATEMENT: Exercise left atrial conduit strain was highly associated with the difference of post-exercise pulmonary capillary wedge pressure and may indicate increased mortality risk in patients with heart failure with preserved ejection fraction, and also has comparable diagnostic ability. KEY POINTS: • Left atrial conduit strain is associated with exercise intolerance in patients with heart failure with preserved ejection fraction. • Left atrial conduit strain during exercise can identify patients with heart failure with preserved ejection fraction. • Exercise left atrial conduit strain significantly correlates with the difference of pulmonary capillary wedge pressure during and before exercise which might predict the long-term outcomes of heart failure with preserved ejection fraction patients.

Right Ventricular-Vascular Uncoupling Predicts Pulmonary Hypertension in Clinically Diagnosed Heart Failure With Preserved Ejection Fraction.

BACKGROUND: Pulmonary hypertension (PH) is highly prevalent in patients with heart failure with preserved ejection fraction (HFpEF), and it is a strong predictor of adverse outcomes. We aimed to determine possible echocardiographic parameters to predict the presence of PH in patients with HFpEF. METHODS AND RESULTS: A total of 113 patients with HFpEF were prospectively enrolled from November 2017 to July 2022. The patients underwent invasive cardiac catheterization and simultaneous echocardiography at rest and during exercise. The parameters indicating right ventricle-pulmonary artery uncoupling, including tricuspid annular plane systolic excursion (TAPSE)/pulmonary artery systolic pressure (PASP) and tricuspid annular systolic velocity (TAS')/PASP were calculated. Receiver operating characteristic curve analysis was used to determine the optimal cut-off points of TAPSE/PASP and TAS'/PASP to differentiate patients with HFpEF with PH from those without PH. Sixty-eight patients with HFpEF with PH and 45 without PH were included. Those with PH had lower TAPSE/PASP and TAS'/PASP at rest and during exercise compared with those without PH. Both resting/stress TAPSE/PASP and TAS'/PASP were correlated with rest/exercise pulmonary capillary wedge pressure and mean pulmonary artery pressure. In multivariable regression analysis, TAPSE/PASP remained a significant predictor of exercise pulmonary capillary wedge pressure and mean pulmonary artery pressure. In receiver operating characteristic curve analysis, the optimal cut-off points of TAPSE/PASP and TAS'/PASP to differentiate patients with HFpEF with PH from those without PH were ≤0.62 and ≤0.47, respectively. CONCLUSIONS: Right ventricle-pulmonary artery uncoupling is closely correlated with abnormal rest/exercise hemodynamics (pulmonary capillary wedge pressure and mean pulmonary artery pressure) in patients with HFpEF. TAPSE/PASP and TAS'/PASP can be useful parameters to detect PH in patients with HFpEF.

X-RIM: Extreme Recurrent Independent Mechanisms for Noise-resistant and Interpretable Stroke Risk Prediction.

Stroke is a leading cause of mortality and long-term disability worldwide. An accurate stroke risk prediction is crucial for its early detection and prevention. Using deep learning to exploit patients' time-series electronic health records (EHRs) has been shown as a promising and efficient solution for such a prediction. Although time-series data could be more informative than a single cross-section in time, real-world time-series EHRs usually have a significantly high missing rate due to irregular patient visits. This could undermine sequential data's benefits unless a proper deep-learning model design is adopted. Furthermore, deep models have long been challenged for their interpretability, which is especially crucial for medical applications. In this study, we propose an extreme design based on the concept of recurrent independent mechanisms (RIM), termed extreme RIM (X-RIM). With no need for imputation, X-RIM utilizes the information of each input feature's temporal records through independent recurrent modules. Experiments on real-world data from the National Taiwan University Hospital showed that, in terms of the area under the precision-recall curve (AUPRC), the area under the receiver-operating characteristics curve (AUROC), and Youden Index, X-RIM (AUPRC: 0.210; AUROC: 0.764; Youden: 0.373) outperformed the classic risk score CHA2DS2-VASc (AUPRC: 0.103; AUROC: 0.650; Youden: 0.223) and other benchmarks in stroke risk prediction. Additional experiments also indicate that individual feature contributions to a prediction could be evaluated intuitively under X-RIM's independent structure to enhance interpretability.

Prediabetes increases the risk of major limb and cardiovascular events.

BACKGROUND: Prediabetes, an intermediate stage between normal blood sugar levels and a diabetes mellitus diagnosis, is increasing in prevalence. Severe prediabetes is associated with a similar risk of complications as diabetes, but its relationship with peripheral arterial disease remains underexplored. METHODS: We conducted a retrospective cohort study involving 36,950 adult patients, utilizing electronic medical records from the National Taiwan University Hospital between 2014 and 2019. We employed multivariable Cox regression and Kaplan-Meier analysis with the log-rank test to analyze major adverse limb events (MALE) and major adverse cardiovascular events (MACE) in relation to normal glucose regulation (NGR) and prediabetes. RESULTS: During the 131,783 person-years follow-up, 17,754 cases of prediabetes and 19,196 individuals with normal glucose regulation (NGR) were identified. Kaplan-Meier analysis revealed an increased incidence of both MALE and MACE in individuals with prediabetes. (log-rank p = 0.024 and < 0.001). Prediabetes exhibited a significant association with an elevated risk of MALE (adjusted hazard ratio (aHR) 1.26 [95% CI 1.10-1.46], p = 0.001) and MACE (aHR 1.46 [1.27-1.67], p < 0.001). Furthermore, in individuals with prediabetes, the elevation in the risk of MALE commenced before HbA1c levels surpassed 5.0% (for HbA1c 5.0-5.5%: aHR 1.78 (1.04-3.04), p = 0.036; HbA1c 5.5-6.0%: aHR 1.29 [1.06-1.58], p = 0.012; aHbA1c 6.0-6.5%: aHR 1.39 [1.14-1.70], p < 0.001). Similarly, the onset of increased MACE risk was observed when HbA1c levels exceeded 5.5% (for HbA1c 5.5-6.0%: aHR 1.67 [1.39-2.01], p < 0.001; HbA1c 6.0-6.5%: HR 2.10 [1.76-2.51], p < 0.001). Factors associated with both MALE and MACE in prediabetes include advanced age, male gender, higher body mass index, and a history of heart failure or atrial fibrillation. CONCLUSION: We demonstrated higher susceptibility to MALE and MACE in prediabetes compared to normoglycemic counterparts, notwithstanding lower HbA1c levels. Complications may manifest at an earlier prediabetes trajectory. Intensive lifestyle modification may improve the prognosis of severe prediabetes.

Noninvasive cardiac radioablation for ventricular tachycardia: dosimetric comparison between linear accelerator- and robotic CyberKnife-based radiosurgery systems.

BACKGROUND: Few dosimetric comparisons have been published between linear accelerator (LA)-based systems and CyberKnife (CK)-based robotic radiosurgery systems for cardiac radio-ablation in ventricular tachycardia. This study aimed to compare the dosimetry of noninvasive cardiac radio-ablation deliverable on LA with that on CK. METHODS: Thirteen patients who underwent noninvasive cardiac radio-ablation by LA were included. The prescribed dose was 25 Gy in 1 fraction, and the average planning target volume was 49.8 ± 31.0 cm3 (range, 14.4-93.7 cm3). CK plans were generated for comparison. RESULTS: Both the CK and LA plans accomplished appropriate dose coverage and normal tissue sparing. Compared with the LA plans, the CK plans achieved significantly lower gradient indices (3.12 ± 0.71 vs. 3.48 ± 0.55, p = 0.031) and gradient measures (1.00 ± 0.29 cm vs. 1.17 ± 0.29 cm, p < 0.001). They had similar equivalent conformity indices (CK vs. LA: 0.84 ± 0.08 vs. 0.87 ± 0.07, p = 0.093) and maximum doses 2 cm from the planning target volume (PTV) in any direction (CK vs. LA: 50.8 ± 9.9% vs. 53.1 ± 5.3%, p = 0.423). The dosimetric advantages of CK were more prominent in patients with a PTV of ≤ 50 cm3 or a spherical PTV. In patients with a PTV of > 50 cm3 or a non-spherical PTV, the LA and CK plans were similar regarding dosimetric parameters. CK plans involved more beams (232.2 ± 110.8 beams vs. 10.0 ± 1.7 arcs) and longer treatment times (119.2 ± 43.3 min vs. 22.4 ± 1.6 min, p = 0.007). CONCLUSIONS: Both CK and LA are ideal modalities for noninvasive cardiac radio-ablation. Upfront treatment should be considered based on clinical intent.

Heart rhythm complexity analysis in patients with inferior ST-elevation myocardial infarction.

Heart rhythm complexity (HRC), a subtype of heart rate variability (HRV), is an important tool to investigate cardiovascular disease. In this study, we aimed to analyze serial changes in HRV and HRC metrics in patients with inferior ST-elevation myocardial infarction (STEMI) within 1 year postinfarct and explore the association between HRC and postinfarct left ventricular (LV) systolic impairment. We prospectively enrolled 33 inferior STEMI patients and 74 control subjects and analyzed traditional linear HRV and HRC metrics in both groups, including detrended fluctuation analysis (DFA) and multiscale entropy (MSE). We also analyzed follow-up postinfarct echocardiography for 1 year. The STEMI group had significantly lower standard deviation of RR interval (SDNN), and DFAα2 within 7 days postinfarct (acute stage) comparing to control subjects. LF power was consistently higher in STEMI group during follow up. The MSE scale 5 was higher at acute stage comparing to control subjects and had a trend of decrease during 1-year postinfarct. The MSE area under scale 1-5 showed persistently lower than control subjects and progressively decreased during 1-year postinfarct. To predict long-term postinfarct LV systolic impairment, the slope between MSE scale 1 to 5 (slope 1-5) had the best predictive value. MSE slope 1-5 also increased the predictive ability of the linear HRV metrics in both the net reclassification index and integrated discrimination index models. In conclusion, HRC and LV contractility decreased 1 year postinfarct in inferior STEMI patients, and MSE slope 1-5 was a good predictor of postinfarct LV systolic impairment.

Index-Guided High-Power Radiofrequency Catheter Ablation for Atrial Fibrillation: A Systematic Review and Meta-Analysis Study.

PURPOSE OF REVIEW: Studies have suggested the superiority of high-power compared to standard-power radiofrequency ablation ablation (RFCA). This study aimed to assess the efficacy and safety of high-power compared to standard-power RFCA guided by ablation index (AI) or lesion index (LSI). RECENT FINDINGS: A systematic review and meta-analysis study comparing IGHP and IGLP approaches for AF ablation was conducted. The relevant published studies comparing IGHP and IGSP methods for RFCA in AF patients until October 2022 were collected from Cochrane, ProQuest, PubMed, and ScienceDirect. A total of 2579 AF patients from 11 studies were included, 1682 received IGHP RFCA, and 897 received IGSP RFCA. To achieve successful pulmonary vein isolation (PVI), the IGHP RFCA group had a significantly shorter procedure time than the IGHP RFCA group (mean difference (MD) -19.91 min; 95% CI -25.23 to -14.59 min; p < 0.01), radiofrequency (RF) application time (MD -10.92 min; 95% CI -14.70 to -7.13 min; p < 0.01), and fewer number of lesions (MD -10.90; 95% CI -18.77 to -3.02; p < 0.01) than the IGSP RFCA. First-pass PVI was significantly greater in the IGHP RFCA group than in the IGSP RFCA group (risk ratio (RR) 1.17; 95% CI 1.07 to 1.28; p < 0.01). The IGHP RFCA is an effective and efficient strategy for AF ablation. The superiority of IGHP RFCA includes the shorter procedure time, shorter RF application time, fewer number of lesions for complete PVI, and more excellent first-pass PVI.

N terminal prohormone of brain natriuretic peptide is associated with improved heart rate recovery after treadmill exercise test.

Background: Heart rate recovery (HRR) and N terminal-pro B type natriuretic peptide (NT-proBNP) are markers for survival and cardiac function; however, Little is known about their association. Method: We examined 2540 healthy subjects aged 12-49 years with data from National Health and Nutrition Examination Survey(NHANES) 1999-2002. HRR parameters 1-3 min after exercise were calculated from exercise test results. Baseline characteristics, anthropometric and NT-proBNP, and other risk covariates were obtained. Result: The results showed that NT-proBNP was positively correlated with HRR2(correlation coefficient (cc) = 0.042 [0.029-0.054], P < 0.001) and HRR3(cc = 0.046 [0.029-0.064], P = 0.001); with further adjustment, the associations remained significant between NT-proBNP and HRR2(cc = 0.030 [0.010-0.049], P = 0.004)/HRR3(cc = 0.029[0.004-0.054], P = 0.025). Our study also found significant correlations between NT-pro BNP and SBP(cc = -0.026 [-0.046∼-0.005], P = 0.017), DBP(cc = -0.037 [-0.062∼-0.012], P = 0.005), and total cholesterol(cc = -0.065 [-0.12∼-0.018], P = 0.009). Conclusions: Our results suggest that BNP might reduce heart rate after exercise by inhibiting the sympathetic nervous system (SNS), reducing HRR2 and HRR3, as these phases involve the reduction of heart rate through cardiac sympathetic withdrawal. Moreover, the interaction of BNP on the SNS might be related to the effect of BNP on cardiovascular risks.

Differentiating the Prognostic Determinants of Myocardial Steatosis for Heart Failure With Preserved Ejection Fraction by Cardiac Magnetic Resonance Imaging.

Background Myocardial steatosis and fibrosis may play a role in the pathophysiology of heart failure with preserved ejection fraction. We therefore investigated the prognostic significance of epicardial fat (epicardial adipose tissue [EAT]) and myocardial diffuse fibrosis. Methods and Results Myocardial fibrosis, estimated as extracellular volume (ECV), and EAT were measured using cardiac magnetic resonance imaging in 163 subjects with heart failure with preserved ejection fraction. We also evaluated cardiac structure and diastolic and systolic function by echocardiography and cardiac magnetic resonance imaging. After 24 months' follow-up, 39 (24%) subjects had experienced cardiovascular events, including hospitalization for heart failure, acute coronary syndrome, and cardiovascular death. Median EAT and mean ECV were significantly higher in subjects with cardiovascular events than survivors (EAT, 35 [25-45] versus 31 [21-38], P=0.006 and ECV, 28.9±3.16% versus 27.2±3.56%, P=0.04). Subjects with high EAT (≥42 g) had increased risk of cardiovascular events (hazard ratio [HR], 2.528 [95% CI, 1.704-4.981]; P=0.032). High ECV (>29%) was also significantly associated with poorer outcomes (HR, 1.647 [95% CI, 1.263-2.548]; P=0.013). With respect to secondary end points, high EAT and high ECV were associated with increased risk of the incident acute coronary syndrome (HR, 1.982 [95% CI, 1.008-4.123]; P=0.049) and hospitalization for heart failure (HR, 1.789 [95% CI, 1.102-6.987]; P=0.033), respectively. Conclusions Our study suggested that increased epicardial fat and ECV detected by cardiac magnetic resonance imaging have an impact on cardiovascular prognosis, in particular acute coronary syndrome and hospitalization for heart failure, respectively.

A fast chemical reprogramming system promotes cell identity transition through a diapause-like state.

Cellular reprogramming by only small molecules holds enormous potentials for regenerative medicine. However, chemical reprogramming remains a slow process and labour intensive, hindering its broad applications and the investigation of underlying molecular mechanisms. Here, through screening of over 21,000 conditions, we develop a fast chemical reprogramming (FCR) system, which significantly improves the kinetics of cell identity rewiring. We find that FCR rapidly goes through an interesting route for pluripotent reprogramming, uniquely transitioning through a developmentally diapause-like state. Furthermore, FCR critically enables comprehensive characterizations using multi-omics technologies, and has revealed unexpected important features including key regulatory factors and epigenetic dynamics. Particularly, activation of pluripotency-related endogenous retroviruses via inhibition of heterochromatin significantly enhances reprogramming. Our studies provide critical insights into how only environmental cues are sufficient to rapidly reinstate pluripotency in somatic cells, and make notable technical and conceptual advances for solving the puzzle of regeneration.