Real-World Clinical Performance of a Novolimus-Eluting Stent Versus a Sirolimus-Eluting Stent.

INTRODUCTION: The DESyne novolimus-eluting coronary stent (NES) is a new-generation drug-eluting stent (DES) that is widely used, but clinical data are rarely reported for this stent. We compared the safety and effectiveness of the DESyne NES and the Orsiro bioresorbable polymer sirolimus-eluting stent (SES) in patients undergoing percutaneous coronary intervention (PCI). METHODS: This was a retrospective, single-center, observational study. Between July 2017 and December 2022, patients who presented with chronic or acute coronary syndrome undergoing PCI with DESyne NES or Orsiro SES were consecutively enrolled in the present study. The primary endpoint, major adverse cardiovascular event (MACE), was a composite of cardiovascular death, target-vessel myocardial infarction, or clinically driven target-lesion revascularization. RESULTS: A total of 776 patients (age 68.8 ± 12.2; 75.9% male) undergoing PCI were included. Overall, 231 patients with 313 lesions received NES and 545 patients with 846 lesions received SES. During a follow-up duration of 784 ± 522 days, the primary endpoint occurred in 10 patients (4.3%) in the NES group and in 36 patients (6.6%) in the SES group. After multivariate adjustment, the risk of MACE did not significantly differ between groups (NES vs. SES, hazard ratio 0.74, 95% CI, 0.35-1.55, p = 0.425). The event rate of individual components of the primary endpoint was comparable between the two groups. CONCLUSIONS: Favorable and similar clinical outcomes were observed in patients undergoing PCI with either NES or SES in a medium-term follow-up duration. Future studies with adequately powered clinical endpoints are required for further evaluation.

Genetic characterization of respiratory syncytial virus surface glycoproteins F and G in Taiwan, 2017-2021.

BACKGROUND: Respiratory syncytial virus (RSV) infection imposes substantial health burden and disproportionally affects young infants, elderly, and immunocompromised hosts. RSV harbors key surface glycoproteins F and G, both crucial for viral infection and evolution. METHODS: In this study, we examined the genetic characteaistics of 179 RSV isolates collected between 2017 and 2021 in Taiwan. G ectodomain and whole F gene were sequenced and aligned with available references from GenBank. RESULTS: RSV ON1 and BA9 were two predominant genotypes throughout the study period. Genetic variations of G protein accumulated over time. New ON1 strains containing E257K and K204R-V225A-T238I-Y280H in combination emerged in 2019 and contributed to a local endemic in 2020. RSV-B strain with A131T and T137I substitution in G protein emerged in 2018. On the other hand, F protein of both RSV genotypes was generally conserved but some feature changes should be noted: RSV-B in Taiwan harbored 100% of I206M and Q209R in site Ø, and L172Q and S173L in site V. These amino acid changes do not affect the susceptibility of Nirsevimab but imply no effectiveness of Suptavumab. CONCLUSION: RSV continuously evolves in Taiwan and accumulated signature genetic changes over time. Vigilant RSV genomic surveillance is important to monitor the viral evolution in the upcoming future of new RSV vaccines and prophylaxis.

The high-density lipoprotein cholesterol (HDL-C)-concentration-dependent association between anti-inflammatory capacity and sepsis: A single-center cross-sectional study.

INTRODUCTION: Known to have pleiotropic functions, high-density lipoprotein (HDL) helps to regulate systemic inflammation during sepsis. As preserving HDL-C level is a promising therapeutic strategy for sepsis, the interaction between HDL and sepsis worth further investigation. This study aimed to determine the impact of sepsis on HDL's anti-inflammatory capacity and explore its correlations with disease severity and laboratory parameters. METHODS AND MATERIALS: We enrolled 80 septic subjects admitted to the intensive care unit and 50 controls admitted for scheduled coronary angiography in this cross-sectional study. We used apolipoprotein-B depleted (apoB-depleted) plasma to measure the anti-inflammatory capacity of HDL-C. ApoB-depleted plasma's anti-inflammatory capacity is defined as its ability to suppress tumor necrosis factor-α-induced vascular cell adhesion molecule-1 (VCAM-1) expression in human umbilical-vein endothelial cells. A subgroup analysis was conducted to investigate in septic subjects according to disease severity. RESULTS: ApoB-depleted plasma's anti-inflammatory capacity was reduced in septic subjects relative to controls (VCAM-1 mRNA fold change: 50.1% vs. 35.5%; p < 0.0001). The impairment was more pronounced in septic subjects with than in those without septic shock (55.8% vs. 45.3%, p = 0.0022). Both associations were rendered non-significant with the adjustment for the HDL-C level. In sepsis patients, VCAM-1 mRNA fold change correlated with the SOFA score (Spearman's r = 0.231, p = 0.039), lactate level (r = 0.297, p = 0.0074), HDL-C level (r = -0.370, p = 0.0007), and inflammatory markers (C-reactive protein level: r = 0.441, p <0.0001; white blood cell: r = 0.353, p = 0.0013). CONCLUSION: ApoB-depleted plasma's anti-inflammatory capacity is reduced in sepsis patients and this association depends of HDL-C concentration. In sepsis patients, this capacity correlates with disease severity and inflammatory markers. These findings explain the prognostic role of the HDL-C level in sepsis and indirectly support the rationale for targeting HDL-C as sepsis treatment.

Sex differences in the frailty phenotype and mortality in the I-Lan longitudinal aging study cohort.

BACKGROUND: Frailty is a common geriatric syndrome related to multiple adverse outcomes. Sex differences in its prevalence and impact on mortality remain incompletely understood. METHODS: This study was conducted with data from the I-Lan Longitudinal Aging Study, in which community-dwelling subjects aged > 50 years without coronary artery disease or diabetes were enrolled. Sex disparities in phenotypically defined frailty and sex-morality predictor interactions were evaluated. Sex- and frailty-stratified analyses of mortality were performed. RESULTS: The sample comprised 1371 subjects (51.4% women, median age 61 years). The median follow-up period was 6.3 (interquartile range, 5.8-7.0) years. The frailty prevalence did not differ between men (5.3%) and women (5.8%). Frail individuals were older and less educated and had poorer renal function than did non-frail individuals. Body composition trends differed between sexes, regardless of frailty. Relative to non-frail men, frail men had significantly lower body mass indices (BMIs; 24.5 vs. 23.4 kg/m2, p = 0.04) and relative appendicular skeletal muscle masses (7.87 vs. 7.05 kg/m2, p < 0.001). Frail women had significantly higher BMIs (25.2 vs. 23.9 kg/m2, p = 0.02) and waist circumferences (88 vs. 80 cm, p < 0.001) than did non-frail women. Frailty was an independent mortality predictor for men only [hazard ratio (95% confidence interval) = 3.395 (1.809-6.371), psex-frailty interaction = 0.03]. CONCLUSION: Frailty reflected poorer health in men than in women in the present cohort. This study revealed sex disparities in the impact of frailty on mortality among relatively healthy community-dwelling older adults.

Opportunistic screening for coronary artery calcium deposition using chest radiographs - a multi-objective models with multi-modal data fusion.

Background: To create an opportunistic screening strategy by multitask deep learning methods to stratify prediction for coronary artery calcium (CAC) and associated cardiovascular risk with frontal chest x-rays (CXR) and minimal data from electronic health records (EHR). Methods: In this retrospective study, 2,121 patients with available computed tomography (CT) scans and corresponding CXR images were collected internally (Mayo Enterprise) with calculated CAC scores binned into 3 categories (0, 1-99, and 100+) as ground truths for model training. Results from the internal training were tested on multiple external datasets (domestic (EUH) and foreign (VGHTPE)) with significant racial and ethnic differences and classification performance was compared. Findings: Classification performance between 0, 1-99, and 100+ CAC scores performed moderately on both the internal test and external datasets, reaching average f1-score of 0.66 for Mayo, 0.62 for EUH and 0.61 for VGHTPE. For the clinically relevant binary task of 0 vs 400+ CAC classification, the performance of our model on the internal test and external datasets reached an average AUCROC of 0.84. Interpretation: The fusion model trained on CXR performed better (0.84 average AUROC on internal and external dataset) than existing state-of-the-art models on predicting CAC scores only on internal (0.73 AUROC), with robust performance on external datasets. Thus, our proposed model may be used as a robust, first-pass opportunistic screening method for cardiovascular risk from regular chest radiographs. For community use, trained model and the inference code can be downloaded with an academic open-source license from https://github.com/jeong-jasonji/MTL_CAC_classification . Funding: The study was partially supported by National Institute of Health 1R01HL155410-01A1 award.

Impacts of the SYNTAX score I, II and SYNTAX score II 2020 on left main revascularization.

Patients with left main coronary artery disease (LMCAD) with a high SYNTAX score (SS) were excluded from randomized studies that comparing percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG). We sought to compare PCI and CABG in the real-world practice and investigate the impact of SS I, SS II, and SS II 2020 on clinical outcomes. In total, 292 Patients with LMCAD (173 PCI, 119 CABG) treated between 2017 and 2021 were enrolled. The primary outcome was major adverse cardiovascular events (MACE), a composite of all-cause death, stroke, or myocardial infarction (MI). The mean SS I was high in both groups (PCI vs. CABG: 31.64 ± 11.45 vs. 32.62 ± 11.75, p = 0.660). The primary outcome occurred in 28 patients (16.2%) in the PCI group and in 19 patients (16.0%) in the CABG group without significant difference [adjusted hazard ratio, 95% CI = 0.98 (0.51-1.90), p = 0.97] over the follow-up period (26.9 ± 17.7 months). No significant difference was observed in all-cause mortality (11.6% vs. 11.8%, p = 0.93) or stroke rates (3.5% vs. 5.0%, p = 0.51) between groups. However, PCI was associated with higher MI (4.6% vs. 0.8%, p < 0.05) and revascularization rates (26% vs. 5.9%, p < 0.001). Prognostic value of the SS I, SS II and SS II 2020 on the primary outcome was not relevant in the PCI group. Among patients with LMCAD, PCI and CABG did not significantly differ in the composite endpoint of all-cause death, stroke, and MI. These results support the potential expansion of PCI indications in LMCAD management for whom are ineligible for CABG with complex coronary artery disease.

Artificial intelligence evaluation of coronary computed tomography angiography for coronary stenosis classification and diagnosis.

BACKGROUND: Ruling out obstructive coronary artery disease (CAD) using coronary computed tomography angiography (CCTA) is time-consuming and challenging. This study developed a deep learning (DL) model to assist in detecting obstructive CAD on CCTA to streamline workflows. METHODS: In total, 2929 DICOM files and 7945 labels were extracted from curved planar reformatted CCTA images. A modified Inception V3 model was adopted. To validate the artificial intelligence (AI) model, two cardiologists labelled and adjudicated the classification of coronary stenosis on CCTA. The model was trained to differentiate the coronary artery into binary stenosis classifications <50% and ≥50% stenosis. Using the quantitative coronary angiography (QCA) consensus results as a reference standard, the performance of the AI model and CCTA radiology readers was compared by calculating Cohen's kappa coefficients at patient and vessel levels. The net reclassification index was used to evaluate the net benefit of the DL model. RESULTS: The diagnostic accuracy of the AI model was 92.3% and 88.4% at the patient and vessel levels, respectively. Compared with CCTA radiology readers, the AI model had a better agreement for binary stenosis classification at both patient and vessel levels (Cohen kappa coefficient: .79 vs. .39 and .77 vs. .40, p < .0001). The AI model also exhibited significantly improved model discrimination and reclassification (Net reclassification index = .350; Z = 4.194; p < .001). CONCLUSIONS: The developed AI model identified obstructive CAD, and the model results correlated well with QCA results. Incorporating the model into the reporting system of CCTA may improve workflows.

Association of pulse pressure with clinical outcomes in patients under different antiplatelet strategies after percutaneous coronary intervention: analysis of GLOBAL LEADERS

BACKGROUND: We evaluated the association of pulse pressure (PP) and different antiplatelet regimes with clinical and safety outcomes in an all-comers percutaneous coronary intervention (PCI) population. METHODS: In this analysis of GLOBAL LEADERS (n = 15,936) we compared the experimental therapy of 23 months of ticagrelor after 1 month of dual-antiplatelet therapy (DAPT) vs standard DAPT for 12 months followed by aspirin monotherapy in subjects who underwent PCI and were divided into 2 groups according to the median PP (60 mm Hg). The primary end point (all-cause death or new Q-wave myocardial infarction) and the composite end points: patient-oriented composite end points (POCE), Bleeding Academic Research Consortium (BARC) 3 or 5, and net adverse clinical events (NACE) were evaluated. RESULTS: At 2 years, subjects in the high-PP group (n = 7971) had similar rates of the primary end point (4.3% vs 3.9%; P = 0.058), POCE (14.9% vs 12.7%; P = 0.051), and BARC 3 or 5 (2.5% vs 1.7%; P = 0.355) and higher rates of NACE (16.4% vs 13.7%; P = 0.037) compared with the low-PP group (n = 7965). Among patients with PP < 60 mm Hg, the primary end point (3.4% vs 4.4%, adjusted hazard ratio [aHR] 0.77, 95% confidence interval [CI] 0.61-0.96), POCE (11.8% vs 13.5%, aHR 0.86, 95% CI 0.76-0.98), NACE (12.8% vs 14.7%, aHR 0.85, 95% CI 0.76-0.96), and BARC 3 or 5 (1.4% vs 2.1%, aHR 0.69, 95% CI 0.49-0.97) were lower with ticagrelor monotherapy compared with DAPT. The only significant interaction was for BARC 3 or 5 (P = 0.008). CONCLUSIONS: After contemporary PCI, subjects with high PP levels experienced high rates of NACE at 2 years. In those with low PP, ticagrelor monotherapy led to a lower risk of bleeding events compared with standard DAPT.

Ascertainment of silent myocardial infarction in patients undergoing percutaneous coronary intervention (from the GLOBAL LEADERS Trial)

Abstract: Q-wave myocardial infarction (QWMI) comprises 2 entities. First, a clinically evident MI, which can occur spontaneously or be related to a coronary procedure. Second, silent MI which is incidentally detected on serial electrocardiographic (ECG) assessment. The prevalence of silent MI after percutaneous coronary intervention (PCI) in the drug-eluting stent era has not been fully investigated. The GLOBAL LEADERS is an all-comers multicenter trial which randomized 15,991 patients who underwent PCI to 2 antiplatelet treatment strategies. The primary end point was a composite of all-cause death or nonfatal new QWMI at 2-years follow-up. ECGs were collected at discharge, 3-month and 2-year visits, and analyzed by an independent ECG core laboratory following the Minnesota code. All new QWMI were further reviewed by a blinded independent cardiologist to identify a potential clinical correlate by reviewing clinical information. Of 15,968 participants, ECG information was complete in 14,829 (92.9%) at 2 years. A new QWMI was confirmed in 186 (1.16%) patients. Transient new Q-waves were observed in 28.5% (53 of 186) of them during the follow-up. The majority of new QWMI (78%, 146 of 186) were classified as silent MI due to the absence of a clinical correlate. Silent MI accounted for 22.1% (146 of 660) of all MI events. The prevalence of silent MI did not differ significantly between treatment strategies (experimental vs reference: 0.88% vs 0.98%, p = 0.5027). In conclusion, we document the prevalence of silent MI in an all-comers population undergoing PCI in this large-scale randomized trial. (AU)