Background: There are limited data comparing long-term clinical outcomes between first-generation (1G) and second-generation (2G) drug-eluting stents (DESs) in patients who underwent successful percutaneous coronary intervention (PCI) for coronary chronic total occlusion (CTO) lesion.
Methods: A total of 840 consecutive patients who underwent PCI with DESs for CTO lesion from January 2004 to November 2015 were enrolled. Finally, a total of 324 eligible CTO patients received 1G-DES (Paclitaxel-eluting stent or Sirolimus-eluting stent, = 157) or 2G-DES (Zotarolimus-eluting stent or Everolimus-eluting stent, = 167) were enrolled. The clinical endpoint was the occurrence of major adverse cardiac events (MACE) defined as all-cause death, recurrent myocardial infarction (re-MI), total repeat revascularization [target lesion revascularization (TLR), target vessel revascularization (TVR), and non-TVR]. We investigated the 5-year major clinical outcomes between 1G-DES and 2G-DES in patient who underwent successful CTO PCI.
Results: After propensity score matched (PSM) analysis, two well-balanced groups (111 pairs, = 222, C-statistic = 0.718) were generated. Up to the 5-year follow-up period, the cumulative incidence of all-cause death, re-MI, TLR, TVR and non-TVR were not significantly different between the two groups. Finally, MACE was also similar between the two groups (HR = 1.557, 95% CI: 0.820-2.959, = 0.176) after PSM.
Conclusions: In this study, 2G-DES was not associated with reduced long-term MACE compared with 1G-DES following successful CTO revascularization up to five years.
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http://dx.doi.org/10.11909/j.issn.1671-5411.2019.08.006 | DOI Listing |
Sci Rep
December 2024
Department of Biology, University of South Dakota, 414 East Clark Street, Vermillion, SD, 57069-2390, USA.
Psychological distress, including anxiety or mood disorders, emanates from the onset of chronic/unpredictable stressful events. Symptoms in the form of maladaptive behaviors are learned and difficult to treat. While the origin of stress-induced disorders seems to be where learning and stress intersect, this relationship and molecular pathways involved remain largely unresolved.
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December 2024
Health Services Research and Pharmacoepidemiology Unit, Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO), Avenida Cataluña, 21, 46020, Valencia, Spain.
Improvement of post-stroke outcomes relies on patient adherence and appropriate therapy maintenance by physicians. However, comprehensive evaluation of these factors is often overlooked. This study assesses secondary stroke prevention by differentiating patient adherence to antithrombotic treatments (ATT) from physician-initiated interruptions or switches.
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December 2024
Postgraduate Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Body composition abnormalities are prognostic markers in several types of cancer, including colorectal cancer (CRC). Using our data distribution on body composition assessments and classifications could improve clinical evaluations and support population-specific opportune interventions. This study aimed to evaluate the distribution of body composition from computed tomography and assess the associations with overall survival among patients with CRC.
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December 2024
Developmental Neurosciences, Great Ormond Street Institute of Child Health, University College London, London, UK.
Network hypersynchrony is emerging as an important system-level mechanism underlying seizures, as well as cognitive and behavioural impairments, in children with structural brain abnormalities. We investigated patterns of single neuron action potential behaviour in 206 neurons recorded from tubers, transmantle tails of tubers and normal looking cortex in 3 children with tuberous sclerosis. The patterns of neuronal firing on a neuron-by-neuron (autocorrelation) basis did not reveal any differences as a function of anatomy.
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December 2024
Medical Image Analysis, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Immune checkpoint inhibitor (ICI) treatment has proven successful for advanced melanoma, but is associated with potentially severe toxicity and high costs. Accurate biomarkers for response are lacking. The present work is the first to investigate the value of deep learning on CT imaging of metastatic lesions for predicting ICI treatment outcomes in advanced melanoma.
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