European journal of internal medicine
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Eur. J. Intern. Med. · Jul 2020
Multicenter Study Observational StudyImpact of treatment strategies on long-term outcome of CTO patients.
The percutaneous coronary intervention (PCI) for chronic total occlusions (CTO) remains debated. Therefore the aim of this large-scale observational multi-center registry was to compare the long-term outcome of CTO patients undergoing different therapeutic approaches comparing successful CTO revascularization either by PCI or coronary artery bypass graft (CABG), failed CTO-PCI and optimal medical therapy (OMT) alone. ⋯ This study showed an improved long-term outcome for CTO revascularization compared to optimal medical therapy, independent from revascularization mode, with the highest survival rate in patients undergoing successful CTO-PCI.
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Eur. J. Intern. Med. · Jul 2020
Predictors of infection after "de novo" cardiac electronic device implantation.
Cardiac implantable electronic device (CIED) infection is a major complication that increases morbidity and mortality after the procedure. Several infection risk scores have been suggested to identify patients at higher pre-procedural risk of infection OBJECTIVE: this study sought to evaluate rates of infection, potential risk factors and the role of a modified "Shariff" score as predictor of infection in high-risk patients undergoing de novo CIED implantation. ⋯ a "Shariff" score > 4 is suggested as a predictor of higher risk of infection in patients after de novo device implantation. The use of an infection risk score may help to improve tailored pre-operatory strategies to prevent infection.
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Eur. J. Intern. Med. · Jul 2020
Clinical phenotypes and prediction of chronicity in sarcoidosis using cluster analysis in a prospective cohort of 694 patients.
Sarcoidosis is a heterogeneous disease with high variability in natural history and clinical spectrum. The study aimed to reveal different clinical phenotypes of patients with similar characteristics and prognosis. ⋯ Cluster analysis identified 6 different clinical patterns with similar phenotypic variables and predicted chronicity in our large cohort of patients with sarcoidosis. Classification of sarcoidosis into phenotypes with prognostic value may help physicians to improve the efficacy of clinical decisions.