Explore the vast range of titles available.

Objectives The aim of this study was to assess the effect of a deep learning (DL)–based reconstruction algorithm on late gadolinium enhancement (LGE) image quality and to evaluate its influence on scar quantification. Methods Sixty patients (46 ± 17 years, 50% male) with suspected or known cardiomyopathy underwent CMR. Short-axis LGE images were reconstructed using the conventional reconstruction and a DL network (DLRecon) with tunable noise reduction (NR) levels from 0 to 100%. Image quality of standard LGE images and DLRecon images with 75% NR was scored using a 5-point scale (poor to excellent). In 30 patients with LGE, scar size was quantified using thresholding techniques with different standard deviations (SD) above remote myocardium, and using full width at half maximum (FWHM) technique in images with varying NR levels. Results DLRecon images were of higher quality than standard LGE images (subjective quality score 3.3 ± 0.5 vs. 3.6 ± 0.7, p  < 0.001). Scar size increased with increasing NR levels using the SD methods. With 100% NR level, scar size increased 36%, 87%, and 138% using 2SD, 4SD, and 6SD quantification method, respectively, compared to standard LGE images (all p values < 0.001). However, with the FWHM method, no differences in scar size were found ( p  = 0.06). Conclusions LGE image quality improved significantly using a DL-based reconstruction algorithm. However, this algorithm has an important impact on scar quantification depending on which quantification technique is used. The FWHM method is preferred because of its independency of NR. Clinicians should be aware of this impact on scar quantification, as DL-based reconstruction algorithms are being used. Key Points • The image quality based on (subjective) visual assessment and image sharpness of late gadolinium enhancement images improved significantly using a deep learning–based reconstruction algorithm that aims to reconstruct high signal-to-noise images using a denoising technique. • Special care should be taken when scar size is quantified using thresholding techniques with different standard deviations above remote myocardium because of the large impact of these advanced image enhancement algorithms. • The full width at half maximum method is recommended to quantify scar size when deep learning algorithms based on noise reduction are used, as this method is the least sensitive to the level of noise and showed the best agreement with visual late gadolinium enhancement assessment.

The aim of our observational study was to derive a small set out of 92 repeatedly measured biomarkers with optimal predictive capacity for adverse clinical events in heart failure, which could be used for dynamic, individual risk assessment in clinical practice. In 250 chronic HFrEF (CHF) patients, we collected trimonthly blood samples during a median of 2.2 years. We selected 537 samples for repeated measurement of 92 biomarkers with the Cardiovascular Panel III (Olink Proteomics AB). We applied Least Absolute Shrinkage and Selection Operator (LASSO) penalization to select the optimal set of predictors of the primary endpoint (PE). The association between repeatedly measured levels of selected biomarkers and the PE was evaluated by multivariable joint models (mvJM) with stratified fivefold cross validation of the area under the curve (cvAUC). The PE occurred in 66(27%) patients. The optimal set of biomarkers selected by LASSO included 9 proteins: NT-proBNP, ST2, vWF, FABP4, IGFBP-1, PAI-1, PON-3, transferrin receptor protein-1, and chitotriosidase-1, that yielded a cvAUC of 0.88, outperforming the discriminative ability of models consisting of standard biomarkers (NT-proBNP, hs-TnT, eGFR clinically adjusted) − 0.82 and performing equally well as an extended literature-based set of acknowledged biomarkers (NT-proBNP, hs-TnT, hs-CRP, GDF-15, ST2, PAI-1, Galectin 3) − 0.88. Nine out of 92 serially measured circulating proteins provided a multivariable model for adverse clinical events in CHF patients with high discriminative ability. These proteins reflect wall stress, remodelling, endothelial dysfunction, iron deficiency, haemostasis/fibrinolysis and innate immunity activation. A panel containing these proteins could contribute to dynamic, personalized risk assessment. Clinical Trial Registration: 10/05/2013 https://clinicaltrials.gov/ct2/show/NCT01851538?term=nCT01851538&draw=2&rank=1 .

Heart failure (HF) is a severe potential complication of myocardial infarction(MI). However precise mechanisms underlying progression from MI to HF are not yet fully understood. Exploring how plasma proteomic profiles of post-MI patients relate to cardiac function during follow-up can give insights into pathophysiological processes that contribute to HF development. We measured 4587 circulating proteins in 246 patients hospitalized for a first anterior Q-wave MI at 1, 3 and 12 months post-MI. Echocardiographic measurements of left-ventricular (LV) end-diastolic volume (EDV), LV ejection fraction (EF), and left atrial volume (AV), were assessed at hospital discharge, 3, and 12 months. Associations between protein and echocardiographic variables were assessed using pair-wise multivariate linear mixed-effects models. Median (IQR) age was 56 (46, 69) years, and 19% were women. Twenty-eight proteins were associated with LVEDV (linked to cardiac remodeling, vascular dysfunction, oxidative stress), twelve with AV (coronary artery disease, atherosclerosis, immune system), and eight with LVEF (cardiac hypertrophy, fibrosis, inflammation). Trajectories of all three echocardiographic variables were associated with NT-proBNP and BNP. Our results give an overview of the most important mechanisms related to the deterioration of cardiac function after MI, with cardiac stress, cardiac remodeling, vascular dysfunction, and inflammation emerging as central mechanisms.

ObjectiveTo determine the potential impact of on-site CT-derived fractional flow reserve (CT-FFR) on the diagnostic efficiency and effectiveness of coronary CT angiography (CCTA) in patients with obstructive coronary artery disease (CAD) on CCTA.MethodsThis observational cohort study included patients with suspected CAD who had been randomized to cardiac CT in the CRESCENT I and II trials. On-site CT-FFR was blindly performed in all patients with at least one ≥ 50% stenosis on CCTA and no exclusion criteria for CT-FFR. We retrospectively assessed the effect of adding CT-FFR to the CT protocol in patients with a stenosis ≥ 50% on CCTA in terms of diagnostic effectiveness, i.e., the number of additional tests required to determine the final diagnosis, reclassification of the initial management strategy, and invasive coronary angiography (ICA) efficiency, i.e., ICA rate without ≥ 50% CAD.ResultsFifty-three patients out of the 372 patients (14%) had at least one ≥ 50% stenosis on CCTA of whom 42/53 patients (79%) had no exclusion criteria for CT-FFR. CT-FFR showed a hemodynamically significant stenosis (≤ 0.80) in 27/53 patients (51%). The availability of CT-FFR would have reduced the number of patients requiring additional testing by 57%-points compared with CCTA alone (37/53 vs. 7/53, p < 0.001). The initial management strategy would have changed for 30 patients (57%, p < 0.001). Reserving ICA for patients with a CT-FFR ≤ 0.80 would have reduced the number of ICA following CCTA by 13%-points (p = 0.016).ConclusionImplementation of on-site CT-FFR may change management and improve diagnostic efficiency and effectiveness in patients with obstructive CAD on CCTA.Key Points• The availability of on-site CT-FFR in the diagnostic evaluation of patients with obstructive CAD on CCTA would have significantly reduced the number of patients requiring additional testing compared with CCTA alone.• The implementation of on-site CT-FFR would have changed the initial management strategy significantly in the patients with obstructive CAD on CCTA.• Restricting ICA to patients with a positive CT-FFR would have significantly reduced the ICA rate in patients with obstructive CAD on CCTA.

ObjectivesData on long-term outcomes after surgical repair of pulmonary valve stenosis are limited. This study evaluated survival, clinical outcomes and quality of life (QoL) after surgery during childhood.MethodsSingle centre, longitudinal cohort study evaluating consecutive patients with pulmonary valve stenosis who underwent surgical repair between 1968–1980 and were evaluated every decade since 1990.ResultsOf the original cohort of 89 operated patients, 11 died (12%), including 2 who died within 30 days postsurgery (2%), and 7 (8%) were lost to follow-up. Survival at 50 years follow-up was 87%, which was not significantly different from the GDP. Of the remaining 71 survivors, 32 refrained earlier from participating in this cohort study, leaving 39 eligible, of whom 34 (87%) participated again (50% male, median age 48 years) with a median follow-up of 45 (range 40–52) years. Event-free survival was 50%, with supraventricular tachycardia (14%) and reintervention (13%) being the most frequent events, although less frequently in the last 10 years. At last follow-up, biventricular function was preserved in most patients. Reduced right and left ventricular ejection fraction (EF) was found in 33% and 13%, respectively. Exercise capacity and maximum rate of oxygen consumption were mildly impaired in 14% and 32% of patients. Patients who underwent an infundibulectomy during initial surgery were significantly more likely to undergo reintervention (HR=8.32, p=0.003). Patient-reported QoL scores remained stable over time and consistently exceeded those of the age-matched GDP.ConclusionFifty-year survival after surgery for pulmonary valve stenosis was excellent and comparable to the GDP. Most patients maintained preserved ventricular function, functional capacity and excellent QoL. Routine lifelong follow-up may not be necessary for all patients, but should be considered for those who underwent an infundibulectomy or have residual lesions.

ObjectivesRenal denervation (RDN) proved to significantly lower blood pressure (BP) at 2–6 months in patients on and off antihypertensive drugs. Given a lack of longer-term follow-up data, our aim was to assess the safety and efficacy of RDN up to five years taking into account antihypertensive drug regimen changes over time.MethodsIn the present single-center study, patients underwent RDN for (therapy resistant) hypertension. Patients underwent protocolized yearly follow-up out to five years. Data were collected on 24-h ambulatory BP and office BP monitoring, renal function, antihypertensive drug regimen, and safety events, including non-invasive renal artery imaging at 6/12 months. Efficacy analyses were performed using linear mixed-effects models.ResultsSeventy-two patients with mean age 63.3 ± 9.5 (SD) years (51% female) were included. Median follow-up time was 3.5 years and Clark’s Completeness Index was 72%. Baseline ambulatory daytime BP was 146.1/83.7 ± 17.4/12.2 mmHg under a mean number of 4.9 ± 2.7 defined daily doses (DDD). At five years, ambulatory daytime systolic BP as calculated from the mixed model was 120.8 (95% CI 114.2–127.5) mmHg and diastolic BP was 73.3 (95% CI 69.4–77.3) mmHg, implying a reduction of -20.9/-8.3 mmHg as compared to baseline estimates (p < 0.0001). The number of DDDs remained stable over time (p = 0.87). No procedure-related major adverse events resulting in long-term consequences were observed.ConclusionsThe BP-lowering effect of RDN was safely maintained at least five years post-procedure as reflected by a significant decrease in ambulatory daytime BP in the absence of escalating antihypertensive drug therapy over time.

Acute coronary syndrome (ACS) presents sex-based differences in pathophysiology. Variations in biomarker patterns post-ACS, reflecting myocardial injury, vascular inflammation, and remodeling, may indicate critical differences in cardiovascular disease mechanisms and outcomes. We analyzed biomarker patterns in 787 patients (22% females) from the BIOMArCS study, all without re-ACS during the study period. We tracked levels of hs-cTnT, NT-proBNP, hs-CRP, GDF-15, and additional biomarkers in a subcohort of 191 patients over one year. Serial blood samples were collected to compare acute-phase (first month after ACS) and stabilized-phase (2–12 months post-ACS) biomarker trajectories between sexes, adjusting for age, BMI, and kidney function using linear mixed-effects models. Females showed significantly lower hs-cTnT levels (mean 386 pg/mL versus 559 pg/mL in males, p = 0.002 acute phase; 8.5 pg/mL versus 10.8 pg/mL, p < 0.001 at 180 days). NT-proBNP levels were higher in females (mean 70 pmol/L vs. 47 pmol/L, p < 0.001 acute phase; 30 pmol/L vs. 19 pmol/L, p < 0.001 at 180 days). Hs-CRP levels were also elevated in females (mean 1.8 mg/L vs. 1.5 mg/L, p = 0.02 at 180 days). Galectin-3 levels remained higher in females (22.8 ng/mL vs. 18.6 ng/mL, p = 0.03). This study provides the first comprehensive analysis of sex-specific biomarker trajectories following ACS. Distinct differences in hs-cTnT, NT-proBNP, and inflammatory markers suggest that sex-specific diagnostic thresholds and personalized treatment strategies after ACS may be warranted, although their clinical value still needs confirmation in larger prospective studies.

Circulating proteins may provide insights into the varying biological mechanisms involved in heart failure (HF) with preserved ejection fraction (HFpEF) and reduced ejection fraction (HFrEF). We aimed to identify specific proteomic patterns for HF, by comparing proteomic profiles across the ejection fraction spectrum. We investigated 4210 circulating proteins in 739 patients with normal (Stage A/Healthy) or elevated (Stage B) filling pressures, HFpEF, or ischemic HFrEF (iHFrEF). We found 2122 differentially expressed proteins between iHFrEF-Stage A/Healthy, 1462 between iHFrEF–HFpEF and 52 between HFpEF-Stage A/Healthy. Of these 52 proteins, 50 were also found in iHFrEF vs. Stage A/Healthy, leaving SLITRK6 and NELL2 expressed in lower levels only in HFpEF. Moreover, 108 proteins, linked to regulation of cell fate commitment, differed only between iHFrEF–HFpEF. Proteomics across the HF spectrum reveals overlap in differentially expressed proteins compared to stage A/Healthy. Multiple proteins are unique for distinguishing iHFrEF from HFpEF, supporting the capacity of proteomics to discern between these conditions.

Background High-sensitivity cardiac troponin testing is a promising tool for cardiovascular risk prediction, but whether serial testing can dynamically predict risk is uncertain. We evaluated the trajectory of cardiac troponin I in the years prior to a cardiovascular event in the general population, and determine whether serial measurements could track risk within individuals. Methods In the Whitehall II cohort, high-sensitivity cardiac troponin I concentrations were measured on three occasions over a 15-year period. Time trajectories of troponin were constructed in those who died from cardiovascular disease compared to those who survived or died from other causes during follow up and these were externally validated in the HUNT Study. A joint model that adjusts for cardiovascular risk factors was used to estimate risk of cardiovascular death using serial troponin measurements. Results In 7,293 individuals (mean 58 ± 7 years, 29.4% women) cardiovascular and non-cardiovascular death occurred in 281 (3.9%) and 914 (12.5%) individuals (median follow-up 21.4 years), respectively. Troponin concentrations increased in those dying from cardiovascular disease with a steeper trajectory compared to those surviving or dying from other causes in Whitehall and HUNT ( P interaction  < 0.05 for both). The joint model demonstrated an independent association between temporal evolution of troponin and risk of cardiovascular death (HR per doubling, 1.45, 95% CI,1.33–1.75). Conclusions Cardiac troponin I concentrations increased in those dying from cardiovascular disease compared to those surviving or dying from other causes over the preceding decades. Serial cardiac troponin testing in the general population has potential to track future cardiovascular risk.

Introduction: The effect of renal sympathetic denervation (RDN) on neurohormonal responses is largely unknown. We aimed to assess the effect of RDN on the renin–angiotensin–aldosterone system (RAAS) and endogenous catecholamines. Methods: A total of 60 patients with hypertension underwent RDN and remained on a stable antihypertensive drug regimen. Samples for plasma aldosterone, plasma renin and urine (nor)metanephrine were collected at baseline and at 6 months post procedure. Ambulatory blood pressure (BP) recordings were obtained at baseline and at 6 months post procedure. Results: Mean age was 64±9 years, and 30/60 patients were male. At 6 months, average daytime systolic and diastolic ambulatory BP decreased by 10 and 6 mmHg, respectively (p<0.001). No significant change was observed in plasma aldosterone (median=248.0 pmol/L (interquartile range (IQR) 113.3–369.5 pmol/L) vs. median=233.0 pmol/L (IQR 110.3–360.8 pmol/L); p=0.66); renin (median=19.5 µIU/mL (IQR 6.8–119.5 µIU/mL) vs. median=14.3 µIU/mL (IQR 7.2–58.0 µIU/mL); p=0.32), urine metanephrine (median=0.46 µmol/L (IQR 0.24–0.77 µmol/L) vs. median=0.46 µmol/L (IQR 0.22–0.88 µmol/L); p=0.75) and normetanephrine (median=1.41 µmol/L (IQR 0.93–2.00 µmol/L vs. median =1.56 (IQR 0.74–2.50 µmol/L); p=0.58) between baseline and 6 months, respectively. No correlation was found between the decrease in mean systolic daytime BP and changes in RAAS hormones or endogenous catecholamines. Conclusion: Despite significant reductions in ambulatory BP, RDN did not result in a significant change in endogenous catecholamines or in RAAS hormones at 6 months.