Deep learning and digital pathology powers prediction of HCC development in steatotic liver disease.

BACKGROUND AND AIMS: Identifying patients with steatotic liver disease who are at a high risk of developing HCC remains challenging. We present a deep learning (DL) model to predict HCC development using hematoxylin and eosin-stained whole-slide images of biopsy-proven steatotic liver disease. APPROACH AND RESULTS: We included 639 patients who did not develop HCC for ≥7 years after biopsy (non-HCC class) and 46 patients who developed HCC <7 years after biopsy (HCC class). Paired cases of the HCC and non-HCC classes matched by biopsy date and institution were used for training, and the remaining nonpaired cases were used for validation. The DL model was trained using deep convolutional neural networks with 28,000 image tiles cropped from whole-slide images of the paired cases, with an accuracy of 81.0% and an AUC of 0.80 for predicting HCC development. Validation using the nonpaired cases also demonstrated a good accuracy of 82.3% and an AUC of 0.84. These results were comparable to the predictive ability of logistic regression model using fibrosis stage. Notably, the DL model also detected the cases of HCC development in patients with mild fibrosis. The saliency maps generated by the DL model highlighted various pathological features associated with HCC development, including nuclear atypia, hepatocytes with a high nuclear-cytoplasmic ratio, immune cell infiltration, fibrosis, and a lack of large fat droplets. CONCLUSIONS: The ability of the DL model to capture subtle pathological features beyond fibrosis suggests its potential for identifying early signs of hepatocarcinogenesis in patients with steatotic liver disease.

Forecasting the Acute Heart Failure Admissions: Development of Deep Learning Prediction Model Incorporating the Climate Information.

BACKGROUND: Climate is known to influence the incidence of cardiovascular events. However, their prediction with traditional statistical models remains imprecise. METHODS AND RESULTS: We analyzed 27,799 acute heart failure (AHF) admissions within the Tokyo CCU Network Database from January 2014 to December 2019. High-risk AHF (HR-AHF) day was defined as a day with the upper 10th percentile of AHF admission volume. Deep neural network (DNN) and traditional regression models were developed using the admissions in 2014-2018 and tested in 2019. Explanatory variables included 17 meteorological parameters. Shapley additive explanations were used to evaluate their importance. The median number of incidences of AHF was 12 (9-16) per day in 2014-2018 and 11 (9-15) per day in 2019. The predicted AHF admissions correlated well with the observed numbers (DNN: R2 = 0.413, linear regression: R2 = 0.387). The DNN model was superior in predicting HR-AHF days compared with the logistic regression model [c-statistics: 0.888 (95% CI: 0.818-0.958) vs 0.827 (95% CI: 0.745-0.910): P = .0013]. Notably, the strongest predictive variable was the 7-day moving average of the lowest ambient temperatures. CONCLUSIONS: The DNN model had good prediction ability for incident AHF using climate information. Forecasting AHF admissions could be useful for the effective management of AHF.

Prevalence and clinical characteristics of diabetic cardiomyopathy in patients with acute heart failure.

BACKGROUND AND AIMS: Diabetic cardiomyopathy refers to cases of diabetes mellitus (DM) complicated by cardiac dysfunction in the absence of cardiovascular disease and hypertension. Its epidemiology remains unclear due to the high rate of coexistence between DM and hypertension. Therefore, this study aimed to examine the prevalence and clinical characteristics of diabetic cardiomyopathy among patients with acute heart failure (HF). METHODS AND RESULTS: This multicenter, retrospective study included 17,614 consecutive patients with acute HF. DM-related HF was defined as HF complicating DM without known manifestations of coronary artery disease, significant valvular heart disease, or congenital heart disease, while diabetic cardiomyopathy was defined as DM-related HF without hypertension. Univariable and multivariable logistic regression analyses were performed to identify factors associated with in-hospital mortality. Diabetic cardiomyopathy prevalence was 1.6 % in the entire cohort, 5.2 % in patients with acute HF complicating DM, and 10 % in patients with DM-related HF. Clinical characteristics, including the presence of comorbidities, laboratory data on admission, and factors associated with in-hospital mortality, significantly differed between the diabetic cardiomyopathy group and the DM-related HF with hypertension group. The in-hospital mortality rate was significantly higher in patients with diabetic cardiomyopathy than in patients with DM-related HF with hypertension (7.7 % vs. 2.8 %, respectively; P < 0.001). CONCLUSION: The prevalence of diabetic cardiomyopathy was 1.6 % in patients with acute HF, and patients with diabetic cardiomyopathy were at high risk for in-hospital mortality. The clinical characteristics of patients with diabetic cardiomyopathy were significantly different than those of patients with DM-related HF with hypertension.

Deep convolutional neural network-based algorithm for muscle biopsy diagnosis.

Histopathologic evaluation of muscle biopsy samples is essential for classifying and diagnosing muscle diseases. However, the numbers of experienced specialists and pathologists are limited. Although new technologies such as artificial intelligence are expected to improve medical reach, their use with rare diseases, such as muscle diseases, is challenging because of the limited availability of training datasets. To address this gap, we developed an algorithm based on deep convolutional neural networks (CNNs) and collected 4041 microscopic images of 1400 hematoxylin-and-eosin-stained pathology slides stored in the National Center of Neurology and Psychiatry for training CNNs. Our trained algorithm differentiated idiopathic inflammatory myopathies (mostly treatable) from hereditary muscle diseases (mostly non-treatable) with an area under the curve (AUC) of 0.996 and achieved better sensitivity and specificity than the diagnoses done by nine physicians under limited diseases and conditions. Furthermore, it successfully and accurately classified four subtypes of the idiopathic inflammatory myopathies with an average AUC of 0.958 and classified seven subtypes of hereditary muscle disease with an average AUC of 0.936. We also established a method to validate the similarity between the predictions made by the algorithm and the seven physicians using visualization technology and clarified the validity of the predictions. These results support the reliability of the algorithm and suggest that our algorithm has the potential to be used straightforwardly in a clinical setting.

Cardiovascular Outcomes in the Acute Phase of COVID-19.

The cumulative number of cases in the current global coronavirus disease 19 (COVID-19) pandemic, caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has exceeded 100 million, with the number of deaths caused by the infection having exceeded 2.5 million. Recent reports from most frontline researchers have revealed that SARS-CoV-2 can also cause fatal non-respiratory conditions, such as fatal cardiovascular events. One of the important mechanisms underlying the multiple organ damage that is now known to occur during the acute phase of SARS-CoV-2 infection is impairment of vascular function associated with inhibition of angiotensin-converting enzyme 2. To manage the risk of vascular dysfunction-related complications in patients with COVID-19, it would be pivotal to clearly elucidate the precise mechanisms by which SARS-CoV-2 infects endothelial cells to cause vascular dysfunction. In this review, we summarize the current state of knowledge about the mechanisms involved in the development of vascular dysfunction in the acute phase of COVID-19.

Deep learning shows the capability of high-level computer-aided diagnosis in malignant lymphoma.

A pathological evaluation is one of the most important methods for the diagnosis of malignant lymphoma. A standardized diagnosis is occasionally difficult to achieve even by experienced hematopathologists. Therefore, established procedures including a computer-aided diagnosis are desired. This study aims to classify histopathological images of malignant lymphomas through deep learning, which is a computer algorithm and type of artificial intelligence (AI) technology. We prepared hematoxylin and eosin (H&E) slides of a lesion area from 388 sections, namely, 259 with diffuse large B-cell lymphoma, 89 with follicular lymphoma, and 40 with reactive lymphoid hyperplasia, and created whole slide images (WSIs) using a whole slide system. WSI was annotated in the lesion area by experienced hematopathologists. Image patches were cropped from the WSI to train and evaluate the classifiers. Image patches at magnifications of ×5, ×20, and ×40 were randomly divided into a test set and a training and evaluation set. The classifier was assessed using the test set through a cross-validation after training. The classifier achieved the highest levels of accuracy of 94.0%, 93.0%, and 92.0% for image patches with magnifications of ×5, ×20, and ×40, respectively, in comparison to diffuse large B-cell lymphoma, follicular lymphoma, and reactive lymphoid hyperplasia. Comparing the diagnostic accuracies between the proposed classifier and seven pathologists, including experienced hematopathologists, using the test set made up of image patches with magnifications of ×5, ×20, and ×40, the best accuracy demonstrated by the classifier was 97.0%, whereas the average accuracy achieved by the pathologists using WSIs was 76.0%, with the highest accuracy reaching 83.3%. In conclusion, the neural classifier can outperform pathologists in a morphological evaluation. These results suggest that the AI system can potentially support the diagnosis of malignant lymphoma.

Comparison of Mortality Prediction Models on Long-Term Mortality in Hospitalized Patients With Acute Heart Failure　- The Importance of Accounting for Nutritional Status.

BACKGROUND: The ideal mortality prediction model (MPM) for acute heart failure (AHF) patients would have sufficient and stable predictive ability for long-term as well as short-term mortality. However, published MPMs for AHF predominantly predict short-term mortality up to 90 days, and their prognostic performance for long-term mortality remains unclear. Methods and Results: We analyzed 609 AHF patients in a prospective registry from January 2013 to May 2016. We compared the prognostic performance for long-term mortality among 8 systematically identified MPMs for AHF that predict short-term mortality up to 90 days from admission. The PROTECT 7-day model showed the highest c-index for long-term as well as short-term mortality among the studied MPMs. Sensitivity analyses revealed serum albumin and total cholesterol to be the most important variables, as dropping these variables resulted in a significant decline in c-index, when compared with other variables specific to the PROTECT 7-day model. Furthermore, significant improvements in c-index and net reclassification were observed when serum albumin or serum albumin plus total cholesterol was added to the studied MPMs, other than the PROTECT 7-day model. CONCLUSIONS: The PROTECT 7-day model demonstrated the highest predictive performance for long-term as well as short-term mortality in AHF patients among the published MPMs. Our findings indicate the importance of accounting for nutritional status such as serum albumin and total cholesterol in AHF patients when developing a MPM.

[Setting Method of the Optimal Slab of Brain MRA for Detective Unruptured Cerebral Aneurysm].

Generally, the imaging range of the brain magnetic resonance angiography (MRA) is determined in the subjectivity by the operator used by the plan image that a blood vessel is not depicted. However, a necessary blood vessel may not be often depicted by an error of the setting of the imaging area. Therefore, optimal slab angle, thickness, distance, and image contrast for depiction of the unruptured cerebral aneurysm were examined. The brain MRA of 14 subjects was imaged in a wide area parallel to an orbitomeatal line (OM) line. The line which linked the arteria vertebral (the first cervical vertebrae curved section) to anterior cerebral artery (A3) was determined with an optimal slab base line, and the angle with the OM line was evaluated. Moreover, slavic range including the unruptured aneurysm was calculated. In addition, the distance from the inferior margin of pons to the slavic bottom end was measured. Furthermore, the cerebrovascular contrast by the slave angle was compared. As a result, the slave setting of the range was recommended in brain-MRA as an angle was 34.3 degrees, and the thickness was 56.4 mm, and, as the distance from the inferior margin of pons was 27.6 mm. The cerebrovascular contrast of the optimal slab base line angle did not have a significant difference for an OM line.

[Verification of "IEC 62464-12007": The Evaluation Method of Spatial Resolution in MRI].

Recently, many methods are suggested to evaluate spatial resolution in MRI. However, those techniques are not simple and easy. The International Electrotechnical Commission (IEC) recommends a method to evaluate spatial resolution using a periodic pattern image as IEC 62464-1. IEC 62464-1 prescribes specifications and placement of phantom, and a method of analysis, but these details grounds are not clear. A purpose of this study is to examine the effect in each factor of IEC 62464-1 method and define the characteristics of this method. Nine phantoms with different plate thickness were made including prescribed specifications of IEC 62464-1. Imaging was conducted with changing the placement angle of these phantoms. Also, analysis was carried out in region of interest (ROI) of three different size. As a result, the placement angle of the phantom, measurement error was <1% on a condition prescribed by a method of IEC 62464-1. There was not the effect if the transverse diameter for the longitudinal diameter exceeded 100% fort the size of ROI. In specifications of the phantom, there was not the dependence for the thickness of the plate of the phantom in IEC 62464-1 prescribes.

[Improvement of Fat Suppressing Effect for Finger and Neck MRI by Using Small Glass Beads].

The defectiveness of the fat suppression becomes the factor of the decrease of the quality of the diagnosis of magnetic resonance imaging. It is reported that the use of magnetic field uniformity adjuvant pad is effective for reduce poor fat suppression. The ball bullets, polystyrene balls, and polished rice are used for pad packing material, in recently, it was reported that fat suppression effect was good by the use of the small glass beads. Therefore, we tested the utility of small glass beads pad in the neck and fingers in this study. Neck and the fingers of subjects were imaged with T1-weighted image with fat suppression and T1-high resolution isotropic volume excitation image. The fat suppression effect of each image was compared with the polished rice and glass beads as material of pad used by physical, observation, and contact evaluation. In the result, satisfactory results were obtained by using glass beads, and it is suggested that fat suppression effect is improved by using glass beads as a filling material of pad in clinical study as a conclusion.

Elevated Plasma D-Dimer Level Is Associated With Short-Term Risk of Ischemic Stroke in Patients With Acute Heart Failure.

BACKGROUND AND PURPOSE: The incidence of heart failure increases the subsequent risk of ischemic stroke, and its risk could be higher in the short-term period after an acute heart failure (AHF) event. However, its determinants remain to be clarified. Plasma D-dimer level reflects fibrin turnover and exhibits unique properties as a biomarker of thrombosis. The aim of this study is to investigate whether D-dimer level is a determinant of short-term incidence of ischemic stroke in patients with AHF. METHODS: We examined 721 consecutive hospitalized AHF patients with plasma D-dimer level on admission from our prospective registry between January 2013 and May 2016. The study end points were incidence of ischemic stroke during hospitalization and at 30 days after admission. RESULTS: Of the total participants (mean age, 76 years; male, 60%; atrial fibrillation, 54%; mean left ventricular ejection fraction, 38%), in-hospital ischemic stroke occurred in 18 patients (2.5%) during a median hospitalization period of 21 days, and 30-day ischemic stroke occurred in 16 patients (2.2%). Higher D-dimer level on admission was an independent determinant of subsequent risk of in-hospital ischemic stroke even after adjustment by CHA2DS2-VASc score (odds ratio, 2.29; 95% confidence interval, 1.46-3.60; P<0.001) or major confounders, including age, atrial fibrillation, and antithrombotic therapy (odds ratio, 2.31; 95% confidence interval, 1.43-3.74; P<0.001). Subgroup analyses showed consistent findings in patients without atrial fibrillation (odds ratio, 2.46; 95% confidence interval, 1.39-4.54; P=0.002) and those without antithrombotic therapy (odds ratio, 2.79; 95% confidence interval, 1.53-5.57; P<0.001). Similar results were obtained for 30-day ischemic stroke as an alternative outcome. CONCLUSIONS: Elevated plasma D-dimer level on admission was significantly associated with increased incidence of ischemic stroke shortly after admission for AHF, suggesting a predictive role of D-dimer for short-term ischemic stroke events in patients with AHF. CLINICAL TRIAL REGISTRATION: URL: https://www.umin.ac.jp/ctr/index.htm. Unique identifier: UMIN000017024.

Rationale and Design of Low-dose Administration of Carperitide for Acute Heart Failure (LASCAR-AHF).

BACKGROUNDS: Despite current therapies, acute heart failure (AHF) remains a major public health burden with high rates of in-hospital and post-discharge morbidity and mortality. Carperitide is a recombinantly produced intravenous formulation of human atrial natriuretic peptide that promotes vasodilation with increased salt and water excretion, which leads to reduction of cardiac filling pressures. A previous open-label randomized controlled study showed that carperitide improved long-term cardiovascular mortality and heart failure (HF) hospitalization for patients with AHF, when adding to standard therapy. However, the study was underpowered to detect a difference in mortality because of the small sample size. METHODS: Low-dose Administration of Carperitide for Acute Heart Failure (LASCAR-AHF) is a multicenter, randomized, open-label, controlled study designed to evaluate the efficacy of intravenous carperitide in hospitalized patients with AHF. Patients hospitalized for AHF will be randomly assigned to receive either intravenous carperitide (0.02 µg/kg/min) in addition to standard treatment or matching standard treatment for 72 h. The primary end point is death or rehospitalization for HF within 2 years. A total of 260 patients will be enrolled between 2013 and 2018. CONCLUSION: The design of LASCAR-AHF will provide data of whether carperitide reduces the risk of mortality and rehospitalization for HF in selected patients with AHF.

Central Systolic Blood Pressure as a Risk Factor for Accelerated Progression of Arterial Stiffness.

AIMS: In the arterial tree, a pressure gradient of the systolic blood pressure (SBP) is observed from the center to the periphery, with the pressure being higher in the periphery because of pressure wave reflection. However, this gradient is attenuated, with elevation of the central SBP (cSBP), in cases with abnormal pressure wave reflection in the arterial tree. It remains unclear if increase of the cSBP might be an independent risk factor for accelerated progression of arterial stiffness. We conducted this prospective observational study using latent growth curve model (LGCM) analyses to examine if elevated cSBP might be an independent risk factor for accelerated progression of the arterial stiffness in middle-aged Japanese men. METHODS: In this 9-year prospective observational study, we analyzed the data of 3862 middle-aged Japanese men (43±10years old) without cerebrocardiovascular disease at the study baseline who had undergone repeated annual measurements of the brachial-ankle pulse wave velocity (baPWV) and cSBP, as represented by the second peak of the radial pressure waveform (SBP2) in radial pressure waveform analysis. RESULTS: During the follow-up period (6.3±2.5years), significant increases of both the baPWV and SBP2 were observed in all the subjects. Analysis using the LGCM confirmed that the SBP2, a marker of the cSBP (B=0.260, P＜0.001), was a significant determinant of the slope of the annual changes of the baPWV during the study period. CONCLUSIONS: Our finding may appear to confirm elevated cSBP as an independent risk factor for accelerated progression of the arterial stiffness in middle-aged Japanese men.

Comparison of clinical characteristics and prognostic factors in patients with heart failure with preserved ejection fraction with and without renal dysfunction.

BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) with renal dysfunction (RD) is considered to be a specific phenotype of HFpEF. This study aimed to compare the clinical characteristics and prognostic factors for in-hospital mortality between HFpEF-diagnosed patients with and without RD. METHODS: This multicenter retrospective study included 5867 consecutive patients with acute HFpEF. RD was defined by an estimated glomerular filtration rate (eGFR) of <60 mL/min per 1.73 m2. Kaplan-Meier survival curves and log-rank tests were used to compare the in-hospital mortality between the groups. Univariable and multivariable Cox regression analyses were performed to identify significant prognostic factors. RESULTS: Across the study cohort, 68% of patients had RD. In-hospital mortality was significantly higher in HFpEF patients with RD than in those without RD. The comorbidities and laboratory data differed significantly between the groups. Independent prognostic factors for in-hospital mortality in the HFpEF patients with RD were age (hazard ratio [HR], 1.039), systolic blood pressure (HR, 0.991), eGFR (HR, 0.981), C-reactive protein (CRP; HR, 1.028), diuretics (HR, 0.374), angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers (ACE-I/ARBs; HR, 0.680), and beta-blockers (HR, 0.662). In HFpEF patients without RD, age (HR, 1.039), systolic blood pressure (HR, 0.979), and ACE-I/ARBs (HR, 0.373) were independent prognostic factors. CONCLUSIONS: Significant differences in the clinical characteristics and prognostic factors, such as CRP and beta-blockers, were observed between the HFpEF patients with and without RD. These results have implications for future research and may help guide individualized patient management strategies.

Longitudinal Associations between Alcohol Intake and Arterial Stiffness, Pressure Wave Reflection, and Inflammation.

AIMS: This prospective observational study, which utilized repeated annual measurements performed over a 9-year period, applied mixed model analyses to examine age-related differences in longitudinal associations between alcohol intake and arterial stiffness, pressure wave reflection, and inflammation. METHODS: In 4016 middle-aged (43±9 years) healthy Japanese male employees, alcohol intake, brachial-ankle pulse wave velocity (baPWV), radial augmentation index (rAI), and serum C-reactive protein (CRP) levels were measured annually during a 9-year study period. RESULTS: The estimated marginal mean baPWV (non-drinkers=1306 cm/s, mild-moderate drinkers=1311 cm/s, and heavy drinkers=1337 cm/s, P＜0.01) and that of rAI showed significant stepped increases in an alcohol dose-dependent manner in the entire cohort, but an increase in rAI was not observed in subjects aged ≥ 50 years. The estimated slope of the annual increase in baPWV, but not rAI, was higher for heavy drinkers than for non-drinkers (slope difference, 1.84; P＜0.05), especially for subjects aged ＜50 years (slope difference, 2.84; P＜0.05). CONCLUSION: In middle-aged male Japanese employees, alcohol intake may attenuate inflammatory activity. While alcohol intake may exacerbate the progression of arterial stiffening in a dose-dependent manner without mediating inflammation, especially in subjects under 50 years of age, it may promote pressure wave reflection abnormalities with aging at earlier ages without further exacerbation at older ages.

Association of the severity of vascular damage with discordance between the fractional flow reserve and non-hyperemic pressure ratios.

BACKGROUND: While there is a discordance between fractional flow reserve (FFR) and non-hyperemic pressure ratios (NHPRs) in some cases, the mechanisms underlying these discordances have not yet been fully clarified. We examined whether vascular damage as assessed by measurement of the brachial-ankle pulse wave velocity (baPWV), a marker of arterial stiffness, or ankle brachial pressure index (ABI), a marker of atherosclerotic arterial stenosis, might be associated with their discordances. METHODS: FFR and NHPRs were measured in 283 consecutive patients (69 ±â€¯10 years old). Based on previously established cut-off values of the two markers (i.e. +/- = FFR ≤/> 0.80 or =NHPRs ≤/> 0.89), the study participants were divided into four groups (the + and - signs denoting "predictive of significant stenosis" and "not predictive of significant stenosis," respectively): the FFR+/NHPRs+ group (n = 124), FFR-/NHPRs+ group (n = 16), FFR+/NHPRs- group(n = 65), and FFR-/NHPRs- group (n = 78). The baPWV and ABI were also measured in all the participants, and values of <2000 cm/s and ≥1.00 of the baPWV and ABI, respectively, were considered as representing relatively less advanced atherosclerotic systemic vascular damage. RESULTS: The prevalence of subjects with ABI ≥1.00 was higher in the FFR+/NHPRs- group than in the FFR-/NHPRs- group (p < 0.05). When the study subjects were divided into 2 groups, namely, the FFR+/NHPRs- group and the combined group, the prevalence of ABI ≥1.00 and that of baPWV <2000 cm/s were higher in the FFR+/NHPRs- group as compared with those in the combined group (p < 0.05). The results of binary logistic regression analysis demonstrated that ABI ≥1.00 was associated with a significant odds ratio (2.34, p < 0.05) for the FFR+/NHPRs- discordance. CONCLUSION: The FFR+/NHPRs- discordance appears to be observed in patients with relatively less advanced atherosclerotic systemic vascular damage. Thus, ABI ≥1.00 may be a marker of the presence of the FFR+/NHPRs- discordance.

Lifelong Heterogeneous Contribution of Cardiovascular Risk Factors to Slow and Fast Progression of Arterial Stiffness.

BACKGROUND: Although some cardiovascular risk factors (CVRFs) are known to be associated with increased arterial stiffness, increased arterial stiffness does not mediate the cardiovascular risk associated with all CVRFs. Here, based on long-term repeated-measurement data, we examined the association of the lifelong status of each CVRF with the rate of progression of arterial stiffness. METHODS: We utilized the data from annual health checkups with the brachial-ankle pulse wave velocity measurements over a 16-year period in middle-aged Japanese occupational cohort. RESULTS: Totally, 29 090 brachial-ankle pulse wave velocity data were obtained during the follow-up of 3763 subjects ranging in age from around 30 to 70 years. Smoking, heavy alcohol intake, hypertension, diabetes, hypertriglyceridemia, and hyperuricemia were independently associated with the fast progression of arterial stiffness. Also, lower values in nondisease range in blood pressure, glycosylated hemoglobin A1c, triglyceride, and uric acid were independently associated with the slow progression of arterial stiffness. For body mass index and low-density lipoprotein cholesterol, no clear associations with the progression of arterial stiffness were observed. CONCLUSIONS: The present prospective study provided more robust epidemiological evidence for the heterogeneity of the significance of contribution of lifelong status of each CVRF to the slow and fast rate of progression of arterial stiffness. These findings suggest the important need to examine, in further studies, the effects of global early interventions to control the levels of the culprit CVRFs, even from middle age, not only to prevent a fast progression of the arterial stiffness but also to maintain a relatively slow progression of arterial stiffness.

Nutritional Status and Sleep Quality Are Associated with Atrial Fibrillation in Patients with Obstructive Sleep Apnea: Results from Tokyo Sleep Heart Study.

The prevalence of obstructive sleep apnea (OSA) in patients with atrial fibrillation (AF) has been observed to be much higher than in control participants without AF. Limited data exist regarding the prevalence of AF in patients with OSA. The clinical characteristics, nutritional status, and sleep parameters associated with AF in patients with OSA remain unclear. In this study, we aimed to determine the prevalence and factors associated with AF in patients with OSA from a large Japanese sleep cohort (Tokyo Sleep Heart Study). This was a single-center explorative cross-sectional study. Between November 2004 and June 2018, we consecutively recruited 2569 patients with OSA who underwent an overnight full polysomnography at our hospital. They were assessed using a 12-lead ECG and echocardiography. The clinical characteristics, sleep parameters, and medical history were also determined. Of the OSA patients, 169 (6.6%) had AF. Compared with the non-AF patients, OSA patients with AF were older and male, and they had higher prevalence of a history of alcohol consumption, hypertension, chronic kidney disease, and undernutrition, as well as a reduced ejection fraction. With regard to the sleep study parameters, OSA patients with AF had reduced slow-wave sleep and sleep efficiency, as well as higher periodic limb movements. There were no significant differences in the apnea-hypopnea index or hypoxia index between the two groups. The logistic regression analysis demonstrated that age (OR = 4.020; 95% CI: 1.895-8.527; p < 0.001), a history of alcohol consumption (OR = 2.718; 95% CI: 1.461-5.057; p = 0.002), a high CONUT score (OR = 2.129; 95% CI: 1.077-4.209; p = 0.030), and reduced slow-wave sleep (OR = 5.361; 95% CI: 1.505-19.104; p = 0.010) were factors significantly related to AF. The prevalence of AF in patients with OSA was 6.6%. Age, a history of alcohol consumption, undernutrition, and reduced sleep quality were independent risk factors for the presence of AF in patients with OSA, regardless of the severity of OSA.

Structure-Activity Relationship Studies of SARS-CoV-2 Main Protease Inhibitors Containing 4-Fluorobenzothiazole-2-carbonyl Moieties.

The main protease (Mpro) of SARS-CoV-2 is an attractive target for the development of drugs to treat COVID-19. Here, we report the design, synthesis, and structure-activity relationship (SAR) studies of highly potent SARS-CoV-2 Mpro inhibitors including TKB245 (5)/TKB248 (6). Since we have previously developed Mpro inhibitors (3) and (4), several hybrid molecules of these previous compounds combined with nirmatrelvir (1) were designed and synthesized. Compounds such as TKB245 (5) and TKB248 (6), containing a 4-fluorobenzothiazole moiety at the P1' site, are highly effective in the blockade of SARS-CoV-2 replication in VeroE6 cells. Replacement of the P1-P2 amide with the thioamide surrogate in TKB248 (6) improved its PK profile in mice compared to that of TKB245 (5). A new diversity-oriented synthetic route to TKB245 (5) derivatives was also developed. The results of the SAR studies suggest that TKB245 (5) and TKB248 (6) are useful lead compounds for the further development of Mpro inhibitors.

Bidirectional Longitudinal Relationships Between Arterial Stiffness and Hypertension Are Independent of Those Between Arterial Stiffness and Diabetes: A Large-Scale Prospective Observational Study in Employees of a Japanese Company.

Background Hypertension and diabetes frequently coexist; however, it has not yet been clarified if the bidirectional longitudinal relationships between arterial stiffness and hypertension are independent of those between arterial stiffness and diabetes. Methods and Results In this 16-year prospective observational study, 3960 middle-aged employees of a Japanese company without hypertension/diabetes at the study baseline underwent annual repeated measurements of blood pressure, serum glycosylated hemoglobin A1c levels, and brachial-ankle pulse wave velocity. By the end of the study period, 664, 779, 154, and 406 subjects developed hypertension, prehypertension, diabetes, and prediabetes, respectively. Increased brachial-ankle pulse wave velocity at the baseline was associated with a significant odds ratio (per 1 SD increase) for new onset of prehypertension/hypertension with (2.45/3.28; P<0.001) or without (2.49/2.76; P<0.001) coexisting prediabetes/diabetes, but not for new onset of prediabetes/diabetes without coexisting hypertension. Analyses using the latent growth curve model confirmed the bidirectional relationships between brachial-ankle pulse wave velocity and hypertension, but no such relationship was observed between brachial-ankle pulse wave velocity and abnormal glucose metabolism. Conclusions In middle-aged employees of a Japanese company, while bidirectional relationships were found to exist between increased arterial stiffness and hypertension, such a relationship was not found between increased arterial stiffness and diabetes. Therefore, it appears that increased arterial stiffness may be associated with the development of hypertension but not with that of diabetes.