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Tissue-level oscillation is achieved by tissue-intrinsic clocks along with network-dependent signals originating from distal organs and organismal behavior. Yet, it remains unexplored whether maternal circadian rhythms during pregnancy influence fetal rhythms and impact long-term susceptibility to dietary challenges in offspring. Here, we demonstrate that circadian disruption during pregnancy decreased placental and neonatal weight yet retained transcriptional and structural maturation. Intriguingly, diet-induced obesity was exacerbated in parallel with arrhythmic feeding behavior, hypothalamic leptin resistance, and hepatic circadian reprogramming in offspring of chronodisrupted mothers. In utero circadian desynchrony altered the phase-relationship between the mother and fetus and impacted placental efficiency. Temporal feeding restriction in offspring failed to fully prevent obesity, whereas the circadian alignment of caloric restriction with the onset of the active phase virtually ameliorated the phenotype. Thus, maternal circadian rhythms during pregnancy confer adaptive properties to metabolic functions in offspring and provide insights into the developmental origins of health and disease., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: Depression is known to be associated with a greater risk of developing cardiovascular disease (CVD) in middle-aged people. However, it is not certain how depression would influence incident CVD in older people aged ≥ 75 years. We investigated the association between depression and CVD in older people., Methods: We analyzed 146,085 individuals aged ≥ 75 years including 7581 individuals (5.2%) with depression registered in the DeSC database from April 2014 to November 2022. We excluded those with a prior history of CVD. The incidence of composite CVD events, comprising ischemic heart disease (IHD), heart failure, and stroke was documented. A Cox proportional hazard regression analysis was conducted to estimate hazard ratios (HR) associated with the presence of depression., Results: The median age was 79 years and 41.0% were men. During the mean follow-up period of 3.4 ± 1.5 years, 39,552 composite CVD events (IHD: n = 10,916; heart failure: n = 26,719; stroke: n = 13,090) were recorded. Multivariable Cox regression analyses showed that older individuals with depression had a greater risk of composite CVD events than those without (hazard ratio [HR] 1.29, 95% confidence interval [CI] 1.24-1.34). The HR (95% CI) of depression was 1.26 (1.17-1.37) for IHD, 1.25 (1.19-1.31) for heart failure, and 1.30 (1.21-1.39) for stroke, respectively. While considering the limitations of real-world data, we conducted multiple sensitivity analyses, which confirmed the results of the primary analysis., Conclusions: The presence of depression was independently associated with a greater risk of developing CVD even in older individuals., Competing Interests: Declarations. Conflict of interest: Research funding and scholarship funds (Hidehiro Kaneko and Katsuhito Fujiu) from Medtronic Japan CO., LTD, Boston Scientific Japan CO., LTD, Biotronik Japan, Simplex QUANTUM CO., LTD, and Fukuda Denshi, Central Tokyo CO., LTD. Ethical Approval: This study followed the principles of the Declaration of Helsinki. Additionally, it was conducted in conformity with the ethics guidelines of the University of Tokyo (approval number: 2021010NI). Ethical Approval: The requirement for informed consent was waived because all the data included in this dataset were anonymized. All data complied with the International Conference on Harmonization guidelines., (© 2025. The Author(s), under exclusive licence to European Geriatric Medicine Society.)

Aim: Sleep apnoea syndrome (SAS) is a common sleep disorder associated with heightened cardiovascular risks, yet sex-specific differences in these risks remain unclear., Methods: This retrospective observational cohort study utilized the JMDC Claims Database, covering >5 million individuals in Japan. We analyzed data from 4,173,702 individuals (2,406,930 men, 1,766,772 women) after excluding those with central SAS, cardiovascular disease, and incomplete lifestyle questionnaire data. SAS was identified using ICD-10 codes and treatment records. Cox regression models adjusted for multiple factors examined the association between SAS and cardiovascular outcomes., Results: Among the participants, 39,078 men (1.62%) and 3,960 women (0.22%) were diagnosed with SAS. Over a mean follow-up of 1,290±1,000 days, SAS was associated with an increased risk of composite cardiovascular events, with a hazard ratio (HR) of 1.27 (95% CI, 1.23-1.31) in men and 1.72 (95% CI, 1.54-1.92) in women compared to those without SAS. The association was significantly stronger in women than in men (P-value for interaction< 0.001) and this sex difference was validated by various sensitivity analyses., Conclusions: Despite the lower prevalence of SAS among women, there was a gender disparity in the cardiovascular impact of SAS, with women demonstrating a significantly higher risk compared to men. This underscores the importance of tailored management strategies aimed at early detection and cardiovascular disease prevention specifically in female patients with SAS., (© The Author(s) 2025. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Aim: It remains unknown whether sodium-glucose cotransporter 2 inhibitors (SGLT2i) could be associated with incident cancer., Methods: We analyzed individuals having diabetes and newly prescribed SGLT2i or dipeptidyl peptidase 4 inhibitors (DPP4i) in a large-scale epidemiological database. The primary outcome was the incidence of cancer. A propensity score matching algorithm was employed to compare the subsequent development of cancer between the SGLT2i and DPP4i groups., Results: After 1:2 propensity score matching, 26,823 individuals (8,941 SGLT2i, 17,882 DPP4i) were analyzed. During the mean follow-up duration of 2.0 ± 1.6 years, 1,076 individuals developed cancer. SGLT2i administration was associated with a reduced risk of cancer (HR 0.80, 95 % CI 0.70-0.91). Particularly, SGLT2i administration was related to a lower risk of colorectal cancer (HR 0.71, 95 % CI 0.50-0.998). Our primary findings remained consistent across various sensitivity analyses, including overlap weighting analysis (HR 0.79, 95 % CI 0.66-0.94), inverse probability of treatment weighting 0.75 (95 % CI 0.65-0.86), and induction period settings 0.78 (95 % CI 0.65-0.93). The risk of developing cancer was comparable among individual SGLT2is (P-value of 0.1738)., Conclusion: Our investigation using nationwide real-world data demonstrated the potential advantage of SGLT2i over DPP4i in reducing the development of cancer in individuals with diabetes., Competing Interests: Declaration of competing interest Research funding and scholarship funds (Hidehiro Kaneko and Katsuhito Fujiu) from Medtronic Japan CO., LTD, Boston Scientific Japan CO., LTD, Biotronik Japan, Simplex QUANTUM CO., LTD, and Fukuda Denshi, Central Tokyo CO., LTD. Hidehiro Kaneko owns stocks of PrevMed Co. Issei Komuro received remuneration for a lecture from AstraZeneca K.K, MSD K.K, Otsuka Pharmaceutical Co. Ltd., ONO PHARMACEUTICAL CO. LTD., DAIICHI SANKYO COMPANY LIMITED., Mitsubishi Tanabe Pharma Corporation, Nippon Boehringer Ingelheim Co. Ltd., BAYER YAKUHIN, LTD., Novo Nordisk Pharma Ltd., Pfizer Japan Inc and trust research/joint research funds from ONO PHARMACEUTICAL CO. LTD. and scholarship fund from Idorsia Pharmaceuticals Japan Ltd., MSD K.K., ONO PHARMACEUTICAL CO. LTD., Sanofi K. K., DAIICHI SANKYO COMPANY LIMITED., Dainippon Sumitomo Pharma Co. Ltd., Takeda Pharmaceutical Company Limited., Mitsubishi Tanabe Pharma Corporation, TEIJIN PHARMA LIMITED, TOA EIYO LTD., (Copyright © 2024. Published by Elsevier Masson SAS.)

Competing Interests: Conflict of interest: Research funding and scholarship funds (H.K. and K.F.) from Medtronic Japan Co., Ltd., Abbott Medical Japan Co., Ltd., Boston Scientific Japan Co., Ltd., and Fukuda Denshi, Central Tokyo Co., Ltd. Other authors have no conflicts of interest to declare.

Background: Some patients with diabetes are unaware that they are prescribed medications for diabetes. The purpose of this study is to determine, using a Japanese nationwide epidemiologic database, the association between unawareness of being prescribed medication for diabetes and the risk of developing cardiovascular disease (CVD) in patients with diabetes., Methods: This observational cohort study analyzed data from the JMDC Claims Database between 2005 and 2022, including 94,048 patients with diabetes treated with medications. The primary endpoint was a composite endpoint including myocardial infarction (MI), stroke, heart failure (HF), and atrial fibrillation (AF)., Results: We identified 7561 composite CVD endpoints during a mean follow-up of 1199 ± 902 days. Overall, 7779 (8.3 %) patients were unaware of being prescribed medications for diabetes. Those who did not know they were prescribed drugs were younger and had better glycemic control, but these individuals were at higher risk of developing combined CVD [hazard ratio (HR) 1.13, 95 % confidence interval (95 % CI) 1.04-1.22]. HRs of unawareness of being prescribed medications for diabetes were 1.33 (95 % CI 1.06-1.68) for MI, 1.13 (95 % CI 0.97-1.31) for stroke, 1.10 (95 % CI 1.00-1.21) for HF, and 1.19 (95 % CI 0.97-1.47) for AF, respectively., Conclusions: In patients with diabetes taking medications for diabetes, even if they are young and have good glycemic control, unawareness of being prescribed medications for diabetes was associated with a greater risk of developing CVD. It is important that they receive adequate education from their healthcare providers to accurately identify their treatment status., Competing Interests: Declaration of competing interest Research funding and scholarship funds (Hidehiro Kaneko and Katsuhito Fujiu) from Medtronic Japan Co., Ltd., Boston Scientific Japan Co., Ltd., Biotronik Japan, Simplex Quantum Co., Ltd., and Fukuda Denshi, Central Tokyo Co., Ltd., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Background: Hypertension is a major cause of cardiovascular disease (CVD). In patients with hypertension, unawareness of the disease often results in poor blood pressure control and increases the risk of CVD. However, data in nationwide surveys regarding the proportion of unaware individuals and the implications of such on their clinical outcomes are lacking. We aimed to clarify the association between unawareness of being prescribed antihypertensive medications among individuals taking antihypertensive medications and the subsequent risk of developing CVD., Methods and Results: This retrospective cohort study analyzed data from the JMDC Claims Database, including 313,715 individuals with hypertension treated with antihypertensive medications (median age 56 years). The primary endpoint was a composite of myocardial infarction, angina pectoris, stroke, heart failure, and atrial fibrillation. Overall, 19,607 (6.2%) individuals were unaware of being prescribed antihypertensive medications. During the follow-up period, 33,976 composite CVD endpoints were documented. Despite their youth, minimal comorbidities, and the achievement of better BP control with a reduced number of antihypertensive prescriptions, unawareness of being prescribed antihypertensive medications was associated with a greater risk of developing composite CVD. Hazard ratios of unawareness of being prescribed antihypertensive medications were 1.16 for myocardial infarction, 1.25 for angina pectoris, 1.15 for stroke, 1.36 for heart failure, and 1.28 for atrial fibrillation. The results were similar in several sensitivity analyses, including the analysis after excluding individuals with dementia., Conclusions: Among individuals taking antihypertensive medications, assessing the awareness of being prescribed antihypertensive medications may help identify those at high risk for CVD-related events.

Background and Hypothesis: While the kidney protective effects of sodium glucose co-transporter-2 (SGLT2) inhibitors have attracted much attention, there are limited real-world clinical data examining the effects of SGLT2 inhibitors on kidney function in older individuals. We aimed to compare the kidney outcomes between SGLT2 inhibitor and dipeptidyl peptidase 4 (DPP4) inhibitor use in older adults with diabetes., Methods: Using a nationwide claims database, we studied 6 354 older adults (≥ 60 years of age) who had diabetes and newly initiated on SGLT2 inhibitors or DPP4 inhibitors. A 1:4 propensity score matching algorithm was used to compare changes in eGFR between SGLT2 inhibitor and DPP4 inhibitor users. The primary outcome was a decline in the rate of estimated glomerular filtration rate (eGFR), which was obtained using a linear mixed-effects model with an unstructured covariance., Results: Following propensity score matching, 6 354 individuals including 1 271 SGLT2 inhibitor users and 5 083 DPP4 inhibitor users (median age: 68 [65-70] years); men, 60.4%; median eGFR:69.0 [59.1-79.0] ml/min/1.73 m2, median hemoglobin A1c [HbA1c]:6.9 [6.5-7.4]%) were analyzed. SGLT2 inhibitor users had a slower eGFR decline than did DPP4 inhibitor users (-0.97 [95% CI, -1.24 to -0.70] ml/min/1.73m2 vs. -1.83 [95% CI, -1.97 to -1.69] ml/min/1.73m2 per year; p for interaction < 0.001). This finding remained consistent across subgroups based on age, sex, body mass index, HbA1c level, renin-angiotensin system inhibitor use, and baseline eGFR. Additionally, the risk of a ≥ 20%, ≥ 30%, and ≥ 40% decrease in eGFR from baseline was significantly lower in SGLT2 inhibitor users than that in DPP4 inhibitor users., Conclusions: Our analysis, utilizing a nationwide epidemiological dataset, demonstrated that the decline in eGFR was slower in individuals aged ≥ 60 years with diabetes who were prescribed SGLT2 inhibitors compared to those prescribed DPP4 inhibitors, suggesting a potential advantage of SGLT2 inhibitors for kidney outcomes even in older individuals with diabetes., (© The Author(s) 2024. Published by Oxford University Press on behalf of the ERA.)

Aims: Individuals with diabetes have a high risk of developing cardiovascular disease (CVD). Little was known whether the association between modifiable risk factors and incident CVD would change according to the presence of diabetes., Methods: In this study, we analyzed 4,132,006 individuals including 173,262 individuals (4.2%) with diabetes registered in the JMDC Claims Database, and compared the association between modifiable risk factors and risk of CVD between individuals with and without diabetes., Results: The median age was 44 years, and 57.5% were men. Multivariable Cox regression analyses showed that the relationship of obesity, hypertension, and dyslipidemia with incident CVD was attenuated in individuals with diabetes, whereas that of non-ideal eating habits, smoking, and physical inactivity with incident CVD was pronounced in those with diabetes. The hazard ratio per 1-point increase in non-ideal lifestyle-related factors was 1.03 [95% confidence interval (CI) 1.03-1.04] in individuals with non-diabetes, whereas 1.09 [95% CI 1.07-1.11] in individuals with diabetes (p-value for interaction < 0.001). Further, hazard ratios for developing CVD were 1.02 [95% 1.01-1.04] in individuals not having diabetes, whereas 1.09 [95% CI 1.04-1.13] in individuals having diabetes for the increase of lifestyle-related factor after 1-year follow-up (p-value for interaction 0.007)., Conclusion: Our analysis utilizing a nationwide epidemiological dataset presented that the relationship of lifestyle-related factors with incident CVD would be pronounced in people having diabetes, suggesting that the maintenance of a healthy lifestyle would play a more important role in the development of CVD in individuals having diabetes. (244 words)., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Although several randomized clinical trials have reported the potential benefit of sodium-glucose cotransporter 2 inhibitors (SGLT2i) in reducing blood pressure (BP), whether SGLT2i can reduce incident hypertension is unknown. We analyzed individuals with diabetes who were newly prescribed SGLT2i or dipeptidyl peptidase 4 inhibitors (DPP4i) in a large-scale epidemiological database. The primary outcome was the incidence of hypertension. A propensity score matching algorithm was employed to compare the subsequent development of hypertension between the SGLT2i and DPP4i groups. After propensity score matching, 5708 well-balanced pairs of SGLT2i and DPP4i users were identified. SGLT2i administration was associated with a reduced risk of hypertension (HR 0.91, 95% CI: 0.84-0.97). The advantage of SGLT2i use over DPP4i use for incident hypertension was generally consistent in several sensitivity analyses, and subgroup analyses showed that SGLT2i use was significantly associated with a lower risk of hypertension in men, patients with baseline HbA1c of <7.5%, and baseline systolic blood pressure ≥127 mmHg. Our investigation using nationwide real-world data demonstrated the potential advantage of SGLT2i over DPP4i in reducing the development of hypertension in individuals with diabetes., (© 2024. The Author(s).)

Background: There are few data on sex differences in the association between schizophrenia and the development of cardiovascular disease (CVD). We sought to clarify the relationship of schizophrenia with the risk of developing CVDs and to explore the potential modification effect of sex differences., Methods and Results: We conducted a retrospective analysis using the JMDC Claims Database between 2005 and 2022. The study population included 4 124 508 individuals aged 18 to 75 years without a history of CVD or renal replacement therapy. The primary end point is defined as a composite end point that includes myocardial infarction, angina pectoris, stroke, heart failure, atrial fibrillation, and pulmonary thromboembolism. During a mean follow-up of 1288±1001 days, we observed 182 158 composite end points. We found a significant relationship of schizophrenia with a greater risk of developing composite CVD events in both men and women, with a stronger association observed in women. The hazard ratio for the composite end point was 1.63 (95% CI, 1.52-1.74) in women and 1.42 (95% CI, 1.33-1.52) in men after multivariable adjustment ( P for interaction=0.0049). This sex-specific difference in the association between schizophrenia and incident CVD was consistent for angina pectoris, heart failure, and atrial fibrillation., Conclusions: Our analysis using a large-scale epidemiologic cohort demonstrated that the association between schizophrenia and subsequent CVD events was more pronounced in women than in men, suggesting the clinical importance of addressing schizophrenia and tailoring the CVD prevention strategy based on sex-specific factors.

Machine learning is a subfield of artificial intelligence. The quality and versatility of machine learning have been rapidly improving and playing a critical role in many aspects of social life. This trend is also observed in the medical field. Generally, there are three main types of machine learning: supervised, unsupervised, and reinforcement learning. Each type of learning is adequately selected for the purpose and type of data. In the field of medicine, various types of information are collected and used, and research using machine learning is becoming increasingly relevant. Many clinical studies are conducted using electronic health and medical records, including in the cardiovascular area. Machine learning has also been applied in basic research. Machine learning has been widely used for several types of data analysis, such as clustering of microarray analysis and RNA sequence analysis. Machine learning is essential for genome and multi-omics analyses. This review summarizes the recent advancements in the use of machine learning in clinical applications and basic cardiovascular research., Competing Interests: Declaration of competing interest The authors declare that they have no conflicts of interest., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

The number of patients with heart failure and related deaths is rapidly increasing worldwide, making it a major problem. Cardiac hypertrophy is a crucial preliminary step in heart failure, but its treatment has not yet been fully successful. In this study, we established a system to evaluate cardiomyocyte hypertrophy using a deep learning-based high-throughput screening system and identified drugs that inhibit it. First, primary cultured cardiomyocytes from neonatal rats were stimulated by both angiotensin II and endothelin-1, and cellular images were captured using a phase-contrast microscope. Subsequently, we used a deep learning model for instance segmentation and established a system to automatically and unbiasedly evaluate the cardiomyocyte size and perimeter. Using this system, we screened 100 FDA-approved drugs library and identified 12 drugs that inhibited cardiomyocyte hypertrophy. We focused on ezetimibe, a cholesterol absorption inhibitor, that inhibited cardiomyocyte hypertrophy in a dose-dependent manner in vitro. Additionally, ezetimibe improved the cardiac dysfunction induced by pressure overload in mice. These results suggest that the deep learning-based system is useful for the evaluation of cardiomyocyte hypertrophy and drug screening, leading to the development of new treatments for heart failure., (Copyright © 2022. Published by Elsevier Inc.)

Failure of the right ventricle plays a critical role in any type of heart failure. However, the mechanism remains unclear, and there is no specific therapy. Here, we show that the right ventricle predominantly expresses alternative complement pathway-related genes, including Cfd and C3aR1. Complement 3 (C3)-knockout attenuates right ventricular dysfunction and fibrosis in a mouse model of right ventricular failure. C3a is produced from C3 by the C3 convertase complex, which includes the essential component complement factor D (Cfd). Cfd-knockout mice also show attenuation of right ventricular failure. Moreover, the plasma concentration of CFD correlates with the severity of right ventricular failure in patients with chronic right ventricular failure. A C3a receptor (C3aR) antagonist dramatically improves right ventricular dysfunction in mice. In summary, we demonstrate the crucial role of the C3-Cfd-C3aR axis in right ventricular failure and highlight potential therapeutic targets for right ventricular failure., (© 2022. The Author(s).)

Advances in deep learning technology have enabled complex task solutions. The accuracy of image classification tasks has improved owing to the establishment of convolutional neural networks (CNN). Cellular senescence is a hallmark of ageing and is important for the pathogenesis of ageing-related diseases. Furthermore, it is a potential therapeutic target. Specific molecular markers are used to identify senescent cells. Moreover senescent cells show unique morphology, which can be identified. We develop a successful morphology-based CNN system to identify senescent cells and a quantitative scoring system to evaluate the state of endothelial cells by senescence probability output from pre-trained CNN optimised for the classification of cellular senescence, Deep Learning-Based Senescence Scoring System by Morphology (Deep-SeSMo). Deep-SeSMo correctly evaluates the effects of well-known anti-senescent reagents. We screen for drugs that control cellular senescence using a kinase inhibitor library by Deep-SeSMo-based drug screening and identify four anti-senescent drugs. RNA sequence analysis reveals that these compounds commonly suppress senescent phenotypes through inhibition of the inflammatory response pathway. Thus, morphology-based CNN system can be a powerful tool for anti-senescent drug screening.

Although it is well known that patients with hypertrophic cardiomyopathy (HCM) have serious adverse events, such as life-threatening arrhythmia and heart failure, the prediction of such evens is still difficult. Recently, it has been reported that one of the causes of these serious adverse events is microvascular dysfunction, which can be noninvasively evaluated by employing cardiac magnetic resonance (CMR) imaging.We analyzed 32 consecutive HCM patients via CMR imaging and myocardial scintigraphy and divided them into two groups: ventricular tachycardia (VT) group and non-VT group. Myocardial perfusion studies were conducted quantitatively using the QMass ® software, and each slice image was divided into six segments. The time-intensity curve derived from the perfusion image by CMR imaging was evaluated, and the time to 50% of the peak intensity (time 50% max) was automatically calculated for each segment.Although no difference was observed in various parameters of myocardial scintigraphy between the two groups, the VT group exhibited a higher mean of time 50% max and wider standard deviation (SD) of time 50% max in each segment than the non-VT group. The cutoff values were obtained by the receiver operating characteristic curves derived from the mean of time 50% max and SD of time 50% max. The two groups divided by the cutoff values exhibited significant differences in the occurrence of serious adverse events.CMR imaging may be useful for predicting serious adverse events of patients with HCM.

Noonan syndrome is known to have various cardiovascular defects, which include pulmonary artery stenosis. Pulmonary artery stenosis is characterized by obstruction of pulmonary artery blood flow that can cause elevated pulmonary artery pressure and ventilation-perfusion inequality, which can cause dyspnea on exertion and eventually, heart failure. Although the etiology of pulmonary artery stenosis related to congenital diseases is still unknown, balloon pulmonary angioplasty has being reported to be effective to selected patients with Alagille and Williams syndromes, but not from Noonan syndrome despite of modest prevalence of pulmonary artery stenosis. Here, we report the first Noonan syndrome patient with pulmonary artery stenosis who underwent successful balloon pulmonary angioplasty. The strategy used in balloon pulmonary angioplasty was planned with careful morphologic evaluation by computed tomographic angiography, and performed with scoring balloons in a graded approach with multiple sessions. After balloon pulmonary angioplasty, we confirmed maintained dilation of lesions and symptom alleviation, suggesting that balloon pulmonary angioplasty can be performed safely on pulmonary artery stenosis in a Noonan syndrome patient., Competing Interests: Conflict of interest: The author(s) declare that there is no conflict of interest., (© The Author(s) 2020.)

Standard aortic valve replacement for aortic regurgitation caused by Behçet disease (BD) is frequently complicated by postoperative recurrent prosthetic valve detachment. Tumour necrosis factor (TNF) α is known to be associated with higher inflammation activities. Therefore, the concomitant use of immunomodulatory agents with TNFα inhibitors may be the key to a better outcome. This is a case report of a 46-year-old woman with severe acute aortic regurgitation due to BD. Immunosuppressive therapy including the TNFα inhibitor infliximab, which has not been reported for perioperative use to date, resulted in the prompt remission of inflammation, leading to the success of Bentall surgery., (Copyright © 2020 Canadian Cardiovascular Society. Published by Elsevier Inc. All rights reserved.)

Background: The concept of Clinical Scenario (CS) classification has been widely utilized to aid in choosing appropriate management strategies for acute decompensated heart failure (ADHF). Methods and Results: The West Tokyo-Heart Failure (WET-HF) Registry is a multicenter, prospective cohort registry enrolling consecutive hospitalized ADHF patients. Based on systolic blood pressure (SBP) at admission, 4,000 patients enrolled between 2006 and 2017 were classified into 3 groups: CS1, SBP ≥140 mmHg; CS2, 100≤SBP<140 mmHg; and CS3, SBP <100 mmHg. The CS1 group had a high rate of fluid retention such as leg edema, and the largest reduction in body weight at discharge. In-hospital diuretics use was the most frequent in CS1. Although the primary endpoint of long-term all-cause death and/or ADHF re-hospitalization was more common in more advanced CS, there was no significant difference between the 3 CS groups in patients with HF with preserved ejection fraction (HFpEF; P=0.10). Although more advanced CS was associated with larger left ventricular (LV) chamber size in HF with reduced EF (HFrEF), it was associated with smaller LV size in HFpEF. Conclusions: The long-term prognostic value of CS classification was limited in HFpEF. Whereas CS was closely associated with degree of LV remodeling in HFrEF, a smaller LV chamber might be associated with a lower cardiovascular functional reserve in HFpEF., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2019, THE JAPANESE CIRCULATION SOCIETY.)

A 69-year-old woman without any past disease history was hospitalized for heart failure. After hospitalization, she showed myocardial infarction, atrioventricular dissociation, and cardiac dysfunction, and finally she passed away despite intensive care. Autopsy revealed that the cardiac abnormalities were due to bacterial myocarditis possibly resulting from urinary tract infection by E. coli. Although bacterial myocarditis is rare in developed countries, we should consider its possibility when patients show various cardiac abnormalities with bacterial infection.

A 63-year-old woman who had hypopituitarism was re-admitted to our hospital because of fever, diarrhea and disturbance of consciousness with life-threatening arrhythmia due to prolongation of the QT interval. She has been treated with hydrocortisone consequently, and has shown few ventricular arrhythmias with normalization of the QT interval. There have been several reports showing the case of prolonged QT interval with adrenal insufficiency, but there are few reports of isolated adrenocorticotropic hormone deficiency without any electrolytes imbalance that showed polymorphic ventricular tachycardia associated with QT prolongation. We discuss some possible mechanisms of how adrenal insufficiency causes life-threatening arrhythmia. Since lack of glucocorticoid hormone might induce prolongation of the QT interval, patients with adrenal insufficiency should be paid attention as candidates of lethal arrhythmias particularly when exposed to excessive stresses.