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fibrosis elucidate a potential pathophysiological link between COPD and HF.
This study sought to evaluate the prognostic impact of plaque morphology and coronary physiology on outcomes after medical treatment or percutaneous coronary intervention (PCI).

Although fractional flow reserve (FFR) is currently best practice, morphological characteristics of coronary artery disease also contribute to outcomes.

A total of 872 vessels in 538 patients were evaluated by invasive FFR and coronary computed tomography angiography. High-risk attributes (HRA) were defined as high-risk physiological attribute (invasive FFR≤0.8) and high-risk morphological attributes including 1) local plaque burden (minimum lumen area<4mm
and plaque burden≥70%); 2) adverse plaque characteristics≥2; and 3) global plaque burden (total plaque volume≥306.5mm
and percent atheroma volume≥32.2%). check details The primary outcome was the composite of revascularization, myocardial infarction, or cardiac death at 5 years.

The mean FFR was 0.88 ± 0.08, and PCI was performed in 239 vessels. The primary outcome occurred in 54 vt strategies by adding to FFR-based risk predictions (CCTA-FFR Registry for Development of Comprehensive Risk Prediction Model; NCT04037163).
High-risk morphological attributes offered additive prognostic value to coronary physiology and may optimize selection of treatment strategies by adding to FFR-based risk predictions (CCTA-FFR Registry for Development of Comprehensive Risk Prediction Model; NCT04037163).
The purpose of this study was to explore the prognostic significance of PTT and PBVi using an automated, inline method of estimation using CMR.

Pulmonary transit time (PTT) and pulmonary blood volume index (PBVi) (the product of PTT and cardiac index), are quantitative biomarkers of cardiopulmonary status. The development of cardiovascular magnetic resonance (CMR) quantitative perfusion mapping permits their automated derivation, facilitating clinical adoption.

In this retrospective 2-center study of patients referred for clinical myocardial perfusion assessment using CMR, analysis of right and left ventricular cavity arterial input function curves from first pass perfusion was performed automatically (incorporating artificial intelligence techniques), allowing estimation of PTT and subsequent derivation of PBVi. Association with major adverse cardiovascular events (MACE) and all-cause mortality were evaluated using Cox proportional hazard models, after adjusting for comorbidities and CMR parameters.

erfusion mapping, independently predicted adverse cardiovascular outcomes. These biomarkers may offer additional insights into cardiopulmonary function beyond conventional predictors including ejection fraction.
Pulmonary transit time (and its derived parameter pulmonary blood volume index), measured automatically without user interaction as part of CMR perfusion mapping, independently predicted adverse cardiovascular outcomes. These biomarkers may offer additional insights into cardiopulmonary function beyond conventional predictors including ejection fraction.
This study aimed to evaluate the prevalence and prognostic value of the extent of extra-aortic valvular cardiac abnormalities in a large multicenter registry of patients with moderate AS.

The prognostic significance of a new classification system that incorporates the extent of cardiac injury (beyond the aortic valve) has been proposed in patients with severe aortic stenosis (AS). Whether this can be applied to patients with moderate AS is unclear.

Based on the echocardiographic findings at the time of diagnosis of moderate AS (aortic valve area between 1.0 and 1.5cm
and dimensionless velocity index ratio of≥0.25), a total of 1,245 patients were included and analyzed retrospectively. They were recategorized into 5 groups according to the extent of extra-aortic valvular cardiac abnormalities none (Group 0), involving the left ventricle (Group 1), the left atrial or mitral valve (Group 2), the pulmonary artery vasculature or tricuspid valve (Group 3), or the right ventricle (Group 4). Patients were follc abnormalities is associated with poor outcome.The majority of coronary atherothrombotic events presenting as myocardial infarction (MI) occur as a result of plaque rupture or erosion. Understanding the evolution from a stable plaque into a life-threatening, high-risk plaque is required for advancing clinical approaches to predict atherothrombotic events, and better treat coronary atherosclerosis. Unfortunately, none of the coronary imaging approaches used in clinical practice can reliably predict which plaques will cause an MI. Currently used imaging techniques mostly identify morphological features of plaques, but are not capable of detecting essential molecular characteristics known to be important drivers of future risk. To address this challenge, engineers, scientists, and clinicians have been working hand-in-hand to advance a variety of multimodality intravascular imaging techniques, whereby 2 or more complementary modalities are integrated into the same imaging catheter. Some of these have already been tested in early clinical studies, with other next-generation techniques also in development. This review examines these emerging hybrid intracoronary imaging techniques and discusses their strengths, limitations, and potential for clinical translation from both an engineering and clinical perspective.
The authors explored a deep neural network (DeepNN) model that integrates multidimensional echocardiographic data to identify distinct patient subgroups with heart failure with preserved ejection fraction (HFpEF).

The clinical algorithms for phenotyping the severity of diastolic dysfunction in HFpEF remain imprecise.

The authors developed a DeepNN model to predict high- and low-risk phenogroups in a derivation cohort (n=1,242). Model performance was first validated in 2 external cohorts to identify elevated left ventricular filling pressure (n=84) and assess its prognostic value (n=219) in patients with varying degrees of systolic and diastolic dysfunction. In 3 National Heart, Lung, and Blood Institute-funded HFpEF trials, the clinical significance of the model was further validated by assessing the relationships of the phenogroups with adverse clinical outcomes (TOPCAT [Aldosterone Antagonist Therapy for Adults With HeartFailure and Preserved Systolic Function] trial, n=518), cardiac biomarkers, and eherapy (HR 0.65; 95%CI 0.46 to 0.90; p=0.01). In the pooled RELAX-HF/NEAT-HFpEF cohort, the high-risk (vs. low-risk) phenogroup had a higher burden of chronic myocardial injury (p<0.001), neurohormonal activation (p<0.001), and lower exercise capacity (p=0.001).

This publicly available DeepNN classifier can characterize the severity of diastolic dysfunction and identify a specific subgroup of patients with HFpEF who have elevated left ventricular filling pressures, biomarkers of myocardial injury and stress, and adverse events and those who are more likely to respond to spironolactone.
This publicly available DeepNN classifier can characterize the severity of diastolic dysfunction and identify a specific subgroup of patients with HFpEF who have elevated left ventricular filling pressures, biomarkers of myocardial injury and stress, and adverse events and those who are more likely to respond to spironolactone.
This study sought to evaluate the impact of post-stent optical coherence tomography (OCT) findings, including severe malapposition, on long-term clinical outcomes.

Suboptimal OCT findings following percutaneous coronary intervention (PCI) are highly prevalent; however, their clinical implications remain controversial.

Of the patients registered in the Yonsei OCT registry, a total of 1,290 patients with 1,348 lesions, who underwent OCT immediately post-stenting, were consecutively enrolled for this study. All patients underwent implantation of drug-eluting stents. Post-stent OCT findings were assessed to identify predictors of device-oriented clinical endpoints (DoCE), including cardiac death, target vessel-related myocardial infarction (MI) or stent thrombosis, and target lesion revascularization (TLR). Significant malapposition criteria associated with major safety events (MSE) were also investigated, such as cardiac death, target vessel-related MI, or stent thrombosis.

The median follow-up period waOCT [Optical Coherence Tomography] Registry for Evaluation of Efficacy and Safety of Coronary Stenting; Yonsei OCT registry; NCT02099162).
Although most suboptimal OCT findings were not associated with clinical outcomes, a smaller MSA was associated with DoCE, driven mainly by TLR, and significant malapposition with TMV ≥7.0 mm3 was associated with more MSE after PCI. (Yonsei OCT [Optical Coherence Tomography] Registry for Evaluation of Efficacy and Safety of Coronary Stenting; Yonsei OCT registry; NCT02099162).Myocardial fibrosis, seen in ischemic and nonischemic cardiomyopathies, is associated with adverse cardiac outcomes. Noninvasive imaging plays a key role in early identification and quantification of myocardial fibrosis with the use of an expanding array of techniques including cardiac magnetic resonance, computed tomography, and nuclear imaging. This review discusses currently available noninvasive imaging techniques, provides insights into their strengths and limitations, and examines novel developments that will affect the future of noninvasive imaging of myocardial fibrosis.
With increasing soft tissue clearance in pancreatic cancer surgery, postoperative chyle leak (CL) has become a more commonly observed complication. Recently, a new consensus definition was established by the International study group of pancreatic surgery (ISGPS). The aim of the present analysis was to evaluate risk factors and treatment options of patients with CL after pancreatic surgery.

Two hundred and twenty-eight patients with serous or chylous drainage after pancreatic surgery were included in this analysis of a prospectively collected database between 01/2014 and 12/2016. Risk factors for CL and treatment options were compared. A subgroup analysis on those patients, who had drain removal despite of persistent CL with respect to the need of subsequent percutaneous drainage or reoperation within three months postoperatively, was performed.

Sixty patients with CL were identified. Of those, 41 patients were treated with medium-chain triglyceride-diet, with a median duration of therapy of 12 days. In patients with CL, the type of treatment had no effect on time to drain removal (P=0.29) and morbidity (P=0.15). Furthermore, morbidity was not increased in patients who had their drains removed despite persistent CL (P=0.84). None of the latter patients had percutaneous drainage or reoperation for CL after removal of the surgical drains.

Dietary treatment may not be very effective in treating CL. Further research is warranted to explore the effect and necessity of CL treatment.
Dietary treatment may not be very effective in treating CL. Further research is warranted to explore the effect and necessity of CL treatment.
Isolated tricuspid valve (TV) surgery is associated with markedly worse outcomes than isolated mitral valve (MV) surgery. We hypothesized that this is related to late referral of patients with isolated TV disease.

Adult patients who underwent isolated TV or MV surgery in 2016-2017 were identified in the National-Readmission-Database. We compared the outcomes of isolated TV and MV surgery before and after adjustment for surrogates of late referral.

A total of 21,446 patients who had isolated MV (n = 19,933), or TV surgery (n = 1153) were included. Patients in the TV group were younger (55.7 ± 16.6 vs. 63.4 ± 12.3 years), had lower socioeconomic status, but higher prevalence of surrogates for late referral [acute HF 41.0% vs. 22.0%, advanced liver disease 16.8% vs. 2.6%, non-elective surgery status 44.3% vs. 23.5%, need for peri-operative mechanical circulatory support 27.7% vs. 4.7%, and unplanned admissions in the 90 days before surgery 31.0% vs. 18.8%, (P < 0.001 for all)]. Surgery was performed on day 0/1 of the admission in 80% of patients in the MV group and 52% in the TV group, P < 0.
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