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The generalization of deep neural network algorithms to a broader population is an important challenge in the medical field. We aimed to apply self-supervised learning using masked autoencoders (MAEs) to improve the performance of the 12-lead electrocardiography (ECG) analysis model using limited ECG data. We pretrained Vision Transformer (ViT) models by reconstructing the masked ECG data with MAE. We fine-tuned this MAE-based ECG pretrained model on ECG-echocardiography data from The University of Tokyo Hospital (UTokyo) for the detection of left ventricular systolic dysfunction (LVSD), and then evaluated it using multi-center external validation data from seven institutions, employing the area under the receiver operating characteristic curve (AUROC) for assessment. We included 38,245 ECG-echocardiography pairs from UTokyo and 229,439 pairs from all institutions. The performances of MAE-based ECG models pretrained using ECG data from UTokyo were significantly higher than that of other Deep Neural Network models across all external validation cohorts (AUROC, 0.913–0.962 for LVSD, p < 0.001). Moreover, we also found improvements for the MAE-based ECG analysis model depending on the model capacity and the amount of training data. Additionally, the MAE-based ECG analysis model maintained high performance even on the ECG benchmark dataset (PTB-XL). Our proposed method developed high performance MAE-based ECG analysis models using limited ECG data.

In patients with heart failure (HF) with reduced ejection fraction (HFrEF), malnutrition can be associated with intestinal congestion and systemic inflammation. These relationships have not been fully investigated in HF with mildly reduced EF (HFmrEF) and with preserved EF (HFpEF). We analyzed 420 patients with HF who underwent right heart catheterization. The relationships between hemodynamic parameters, C-reactive protein, and the controlling nutritional (CONUT) score were investigated in HFrEF, HFmrEF and HFpEF. The CONUT score of all patients was 2 [1, 4] (median [interquartile range]), and was not significantly different between the left ventricular EF (LVEF) categories (2 [1, 3] for HFrEF, 2 [1, 3] for HFmrEF, and 3 [1, 4] for HFpEF, p  = 0.279). In multivariate linear regression analyses, there was a significant association between CRP and the CONUT score in HFmrEF and HFpEF, while brain natriuretic peptide and right atrial pressure were significantly associated with the CONUT score in HFrEF. Higher CONUT scores predicted a higher incidence of the composite endpoint of death or HF hospitalization within 12 months without an interaction with LVEF ( p  = 0.980). The CONUT score was an independent predictor of the composite endpoint, death, and HF hospitalization after adjustment for confounders in the multivariate analysis. In conclusion, inflammation was associated with malnutrition in HFmrEF and HFpEF, while congestion was an independent predictor of malnutrition in HFrEF. Malnutrition predicted worse outcomes regardless of LVEF.

Whether sodium–glucose cotransporter-2 inhibitors (SGLT2is) reduce ventricular arrhythmias and sudden cardiac death is controversial. Ventricular repolarization heterogeneity is associated with ventricular arrhythmias; however, the effect of SGLT2is on ventricular repolarization in patients with heart failure with reduced ejection fraction (HFrEF) has not been fully investigated. We prospectively evaluated 31 HFrEF patients in sinus rhythm who were newly started on dapagliflozin 10 mg/day. Changes in QT interval, corrected QT interval (QTc), QT dispersion (QTD), corrected QTD (QTcD), T peak to T end (TpTe), TpTe/QT ratio, and TpTe/QTc ratio were evaluated at 1-year follow-up. QT interval, QTc interval, QTD, QTcD, TpTe, and TpTe/QTc ratio decreased significantly at 1-year follow-up (427.6 ± 52.6 ms vs. 415.4 ± 35.1 ms; p  = 0.047, 437.1 ± 37.3 ms vs. 425.6 ± 22.7 ms; p  = 0.019, 54.1 ± 11.8 ms vs. 47.6 ± 14.7 ms; p  = 0.003, 56.0 ± 11.2 ms vs. 49.4 ± 12.3 ms; p  = 0.004, 98.0 ± 15.6 ms vs. 85.5 ± 20.9 ms; p  = 0.018, and 0.225 ± 0.035 vs. 0.202 ± 0.051; p  = 0.044, respectively). TpTe/QT ratio did not change significantly (0.231 ± 0.040 vs. 0.208 ± 0.054; p  = 0.052). QT interval, QTD, and TpTe were significantly reduced 1 year after dapagliflozin treatment in patients with HFrEF. The beneficial effect of dapagliflozin on the heterogeneity of ventricular repolarization may contribute to the suppression of ventricular arrhythmias. Registry information https://center6.umin.ac.jp/cgi-open-bin/ctr/ctr_view.cgi?recptno=R000049428 . Registry number: UMIN000044902.

In patients hospitalized for acute decompensation of heart failure (HF), the impact of angiotensin receptor-neprilysin inhibitor (ARNI) on diuresis and renal function has not been fully investigated. Patients with HF and reduced ejection fraction who were hospitalized for acute decompensation and newly initiated ARNI after hemodynamic stabilization were enrolled. Changes in urine volume (UV), body weight, estimated glomerular filtration rate (eGFR), and urine N-acetyl-beta-d-glucosaminidase (uNAG) levels before and after ARNI initiation were investigated. Changes in the diuretic response [DR, calculated as urine volume/(intravenous furosemide volume/40 mg)], N-terminal pro-brain natriuretic peptide (NT-proBNP), hematocrit, and plasma volume (PV) were also evaluated. A total of 60 patients were enrolled. ARNI was initiated at a median of 6 [5, 7] days after hospitalization. After initiation of ARNI, body weight, NT-proBNP, and PV decreased. UV and DR increased only on the day of ARNI initiation (delta UV 400 ± 957 ml and delta DR 1100 ± 3107 ml/40 mg furosemide) and then decreased to baseline levels. In the multivariable linear regression analysis, younger age, higher BMI, and higher NT-proBNP levels were significantly associated with greater UV after ARNI initiation. eGFR and uNAG did not significantly change after the initiation of ARNI [delta eGFR -1.7 ± 12.0 mL/min/1.73 m 2 and delta uNAG 2.0 (−5.6, 6.9) IU/L]. In patients hospitalized for HF, the initiation of ARNI was associated with a small and transient increase in UV and DR, and was not associated with worsening of renal function or tubular injury.

Background: The optimal revascularization strategy in patients with multivessel disease and intermediate SYNTAX score (SS) has not been fully elucidated. This study aimed to investigate the clinical outcomes of optimal intravascular ultrasound (IVUS)-guided percutaneous coronary intervention (PCI) stratified by SS. Methods: This was a substudy of the OPTIVUS-Complex PCI study Multivessel Cohort, which aimed to meet the prespecified criteria for optimal stent expansion after IVUS-guided PCI. A total of 1,005 patients were divided into 3 groups according to SS: low, ≤22; intermediate, 23 to 32; and high, ≥33. The primary end points were major adverse cardiac and cerebrovascular events (MACCE) defined as a composite of death, myocardial infarction, stroke, or coronary revascularization. Results: The cumulative 1-year incidence of the primary end point was significantly higher in patients with high SS than in those with intermediate or low SS (25.0%, 10.9%, and 9.5%, respectively; p = 0.003). This difference was mainly caused by the incidence of coronary revascularization. In the multivariable Cox proportional hazards models, the excess risk of patients with high versus low SS remained significant for the primary end point (hazard ratio 3.19, 95% confidence interval 1.65 to 6.16, p <0.001), whereas the excess risk of patients with intermediate versus low SS was no longer significant (hazard ratio 1.20, 95% confidence interval 0.72 to 2.01, p = 0.46). Conclusions: After IVUS-guided multivessel PCI, patients with intermediate SS had a similar 1-year risk of MACCE to that of patients with low SS, whereas patients with high SS had a higher 1-year risk of MACCE than those with low SS.

Background The global use of angiotensin receptor neprilysin inhibitor (ARNI) in clinical practice, especially in patients with heart failure and below-normal ejection fraction (HFbnEF), has not been thoroughly evaluated. We aimed to investigate the characteristics, outcomes, and adverse events in patients treated with ARNI for HF with reduced (HFrEF), below-normal (HFbnEF), and supranormal left ventricular EF (HFsnEF). Methods This observational study analyzed data from the electronic healthcare records (EHR) of patients with HF treated with ARNI between 2015 and 2022 in North and South America, Europe, the Middle East, Africa, and Asia–Pacific. Based on the left ventricular EF, patients were categorized as HFrEF (< 40%), HFbnEF (40–60%), and HFsnEF (> 60%). Mortality and the incidence of adverse events were investigated. Results Of the 11,141 patients analyzed, HFrEF, HFbnEF and HFsnEF accounted for 74%, 22%, and 4%, respectively. Patients with a higher EF were more likely to be older, female, and obese. Hypertension and atrial fibrillation were the most common in HFsnEF. Systolic blood pressure was lower and natriuretic peptide levels were higher in the lower EF groups. Mortality was lowest in HFbnEF (7.7 per 100 patient-years follow-up in HFrEF, 5.8 in HFmrEF, and 6.0 in HFsnEF). Similarly, hypotension and acute kidney injury were the least frequent in HFbnEF. Incidence of elevated serum potassium levels was similar between the groups. Conclusions In this analysis of large-scale EHR, ARNI was mainly used in HFrEF and HFbnEF, consistent with previous randomized trials and pooled analyses. Adverse events were less common in HFbnEF.

Background The mechanisms underlying cardiorenal benefits of finerenone remain unclear. This mechanistic trial aimed to evaluate the effects of finerenone on vascular stiffness, as assessed using the cardio-ankle vascular index (CAVI), and cardiorenal biomarkers in patients with type 2 diabetes (T2D) and chronic kidney disease (CKD). Methods Eligible patients with T2D and CKD (estimated glomerular filtration rate [eGFR], 25 to < 90 mL/min/1.73 m 2 ; urinary albumin-to-creatinine ratio [UACR], 30 to < 3500 mg/g Cr) were randomly allocated to receive either dose-adjusted finerenone or matching placebo. The primary endpoint was the change in CAVI at week 24. The key secondary endpoint was the proportional change in UACR from baseline over 24 weeks. As an exploratory analysis, changes in circulating proteins were measured by using the Olink® Target 96 Cardiovascular III and Inflammation panels. Results This investigator-initiated, multicentre, prospective, two-arm parallel, placebo-controlled, double-blind, randomised clinical trial was conducted at 13 sites in Japan. Among 102 patients randomised, 101 (66.3% men; median age, 73 years; eGFR, 56.2 mL/min/1.73 m 2 ; and UACR, 193.8 mg/g Cr) were analysed. Changes in CAVI at week 24 were − 0.023 (95% confidence interval [CI], − 0.299 to 0.254) for finerenone and 0.011 (95% CI, − 0.245 to 0.267) for placebo. The group difference was − 0.057 (95% CI, − 0.428 to 0.314; P  = 0.760). Compared with placebo, finerenone led to a 29% reduction in UACR levels at weeks 12 (group ratio 0.706 [95% CI, 0.504 to 0.989; P  = 0.043]) and 24 (0.709 [95% CI, 0.506 to 0.994; P  = 0.046]). Finerenone also resulted in an early and sustained eGFR decline over 24 weeks, without increasing levels of urinary biomarkers of acute tubular injury. Finerenone, compared with placebo, was associated with nominal changes in the expression of 11 proteins among the 181 circulating proteins tested. Conclusions Finerenone did not affect changes in vascular stiffness but led to a significant and sustained reduction in albuminuria in patients with T2D and CKD. The clinical benefits of finerenone may result from lowering intraglomerular pressure rather than from its effect on vascular stiffness. Registration ClinicalTrial.gov (NCT05887817) and Japan Registry of Clinical Trials (jRCTs021230011). Graphical abstract This mechanistic clinical trial involving patients with T2D and CKD found that 24-week finerenone therapy did not significantly reduce CAVI from baseline compared with placebo (−0.057; 95% CI, −0.428 to 0.314), led to a 29% reduction (group ratio [finerenone vs. placebo] of 0.71) in UACR levels, and was associated with nominal changes in 11 circulating proteins (six upregulated and five downregulated) over 24 weeks. CAVI, cardio-ankle vascular index; CI, confidence interval; CKD, chronic kidney disease; eGFR, estimated glomerular filtration rate; T2D, type 2 diabetes; UACR, urinary albumin-to-creatinine ratio.

In this study, an XYθ position sensor is designed/proposed to realize the precise control of the XYθ position of a holonomic inchworm robot in the centimeter to submicrometer range using four optical encoders. The sensor was designed to be sufficiently compact for mounting on a centimeter-sized robot for closed-loop control. To simultaneously measure the XYθ displacements, we designed an integrated two-degrees-of-freedom scale for the four encoders. We also derived a calibration equation to decrease the crosstalk errors among the XYθ axes. To investigate the feasibility of this approach, we placed the scale as a measurement target for a holonomic robot. We demonstrated closed-loop sequence control of a star-shaped trajectory for multiple-step motion in the centimeter to micrometer range. We also demonstrated simultaneous three-axis proportional–integral–derivative control for one-step motion in the micrometer to sub-micrometer range. The close-up trajectories were examined to determine the detailed behavior with sub-micrometer and sub-millidegree resolutions in the MHz measurement cycle. This study is an important step toward wide-range flexible control of precise holonomic robots for various applications in which multiple tools work precisely within the limited space of instruments and microscopes.

Background The overactivation of mineralocorticoid receptor (MR) plays a key pathological role in the progression of cardiovascular and renal diseases by promoting pro-inflammatory and pro-fibrotic signaling. Recently, it has been found that finerenone, a novel nonsteroidal selective MR antagonist, can robustly improve cardiorenal outcomes in patients with type 2 diabetes (T2D) and a wide spectrum of chronic kidney disease (CKD). However, the mechanisms underlying the cardiorenal benefits of finerenone are poorly understood. Further, whether the clinical benefits are mediated by an improvement in vascular stiffness is not confirmed. Therefore, the current study aims to evaluate the effects of finerenone on vascular stiffness as assessed using cardio ankle vascular index (CAVI) and relevant cardiorenal biomarkers in patients with T2D and CKD. Methods The Effects of Fi nerenone on V ascular Stiffn e ss and Cardiorenal Biomarker s in T ype 2 Di a betes and Ch r onic Kidney Disease (FIVE-STAR) is an ongoing, investigator-initiated, multicenter, prospective, placebo-controlled, double-blind, randomized clinical trial in Japan. Its target sample size is 100 subjects. Recruitment will be performed from September 2023 to July 2024. After obtaining informed consent, eligible participants with T2D and CKD (25 mL/min/1.73 m 2  ≤ estimated glomerular filtration ratio [eGFR] < 90 mL/min/1.73 m 2 and 30 mg/g Cr ≤ urinary albumin-to-creatinine ratio [UACR] < 3500 mg/g Cr) will be equally randomized to receive 24-week treatment with either finerenone (starting dose at 10 mg once daily in participants with a baseline eGFR < 60 mL/min/1.73 m 2 or at 20 mg once daily in those with a baseline eGFR ≥ 60 mL/min/1.73 m 2 ) or dose-matched placebo. The primary endpoint is the change from baseline in CAVI at 24 weeks. The secondary endpoints are changes from baseline in UACR at 12 and 24 weeks and relevant serum and urinary biomarkers at 24 weeks. As an exploratory endpoint, proteomic analysis using the Olink® Target 96 panels will be also performed. Discussion FIVE-STAR is the first trial evaluating the therapeutic impact of finerenone on vascular stiffness and relevant cardiorenal biomarkers in patients with T2D and CKD. This study will provide mechanistic insights on the clinical benefits of finerenone based on recent cardiovascular and renal outcome trials. Trial registration Unique Trial Number, NCT05887817 ( https://clinicaltrials.gov/ct2/show/NCT05887817 ) and jRCTs021230011 ( https://jrct.niph.go.jp/latest-detail/jRCTs021230011 ).