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- Anselmino, Matteo, et al.
(author)
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Atrial fibrillation ablation long-term ESC-EHRA EORP AFA LT registry : in-hospital and 1-year follow-up findings in Italy
- 2020
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In: Journal of Cardiovascular Medicine. - : Ovid Technologies (Wolters Kluwer Health). - 1558-2027 .- 1558-2035. ; 21:10, s. 740-748
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Journal article (peer-reviewed)abstract
- Aim: To report the Italian data deriving from the European Society of Cardiology-EURObservational Research Program atrial fibrillation ablation long-term registry.Methods and results: Ten Italian centers enrolled up to 50 consecutive patients undergoing atrial fibrillation ablation. Of the 318 patients included, 5 (1.6%) did not undergo catheter ablation, 1 had ablation partially done and 62 were lost at 1-year follow-up. Women were less represented (23.6%) and the median age was 60.0 years. A total of 195 patients (62.3%) suffered paroxysmal atrial fibrillation, whereas only 9 (2.9%) had long-standing persistent atrial fibrillation. Most Italian patients (92.3%) were symptomatic but suffering fewer symptomatic events than patients enrolled in other countries (median of two events in the month preceding the ablation vs. three, respectively; P<0.0001). The main finding of the study is that the success rate at 1 year, with and without antiarrhythmic drugs, was 76.4%, consistently with other participating countries (73.4%). This result was obtained however, with a significantly lower prevalence of 1-year adverse events (7.3 vs. 16.6%, P<0.0001). Procedure duration and fluoroscopy total time resulted as being shorter in Italy (145 vs. 160, P=0.0005 and 16.9 vs. 20.0 min, P=0.0018, respectively); however, the radiation dose per BSA was greater (37.5 vs. 26.0mGy/cm(2), P=0.0022).Conclusion: The demographic characteristics of patients undergoing atrial fibrillation ablation are similar to those reported in other countries. The success rate in Italy is consistent with those in other countries, whereas the complications rate is lower.
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| 4. |
- Anselmino, M, et al.
(author)
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Implications of abnormal glucose metabolism in patients with coronary artery disease
- 2008
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In: Diabetes & vascular disease research. - : SAGE Publications. - 1479-1641 .- 1752-8984. ; 5:4, s. 285-290
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Journal article (peer-reviewed)abstract
- Abnormal glucose metabolism and type 2 diabetes mellitus (T2DM) are becoming increasingly common. It has been recently confirmed that the period of time prior to the development of diabetes, when patients have impaired glucose tolerance, may also predispose them to increased cardiovascular risk. Therefore prevention and management of T2DM and its antecedents must have high priority when allocating healthcare resources. The present review summarises some information on detection, management and treatment of abnormal glucose metabolism in patients with established coronary artery disease, highlighting the importance of early detection of abnormal glucose metabolism in order to prevent the progression of prediabetes to T2DM and to delay the occurrence of those macrovascular and microvascular complications that impair quality of life and diminish survival.
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| 6. |
- Anselmino, M., et al.
(author)
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Predictions for single spin asymmetries in ℓ parrow -> π X and γ * parrow -> π X
- 2000
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In: European Physical Journal C. - : Springer Science and Business Media LLC. - 1434-6044 .- 1434-6052. ; 13:3, s. 519-526
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Journal article (peer-reviewed)abstract
- Predictions for the single transverse spin asymmetry AN in semi-inclusive DIS processes are given; non-negligible values of AN may arise from spin effects in the fragmentation of a polarized quark into a final hadron with a transverse momentum ěc k⊥ with respect to the jet axis, the so-called Collins effect. The elementary single spin asymmetry of the fragmenting quark has been fixed in a previous paper, by fitting data on parrow p -> π X, and by assuming that the QCD factorization theorem holds also when transverse momenta are taken into account. The predictions given here are based on the assumption that the Collins effect is the only cause of the observed single spin asymmetries in parrow p -> π X. Eventual spin and ěc k⊥ dependences in the quark distribution functions, the so-called Sivers effect, are also discussed.
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| 8. |
- Meijer, A., et al.
(author)
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Adjusted prognostic association of depression following myocardial infarction with mortality and cardiovascular events: individual patient data meta-analysis
- 2013
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In: British Journal of Psychiatry. - : Royal College of Psychiatrists. - 0007-1250 .- 1472-1465. ; 203:2, s. 90-102
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Journal article (peer-reviewed)abstract
- Background The association between depression after myocardial infarction and increased risk of mortality and cardiac morbidity may be due to cardiac disease severity. To combine original data from studies on the association between post-infarction depression and prognosis into one database, and to investigate to what extent such depression predicts prognosis independently of disease severity. An individual patient data meta-analysis of studies was conducted using multilevel, multivariable Cox regression analyses. Sixteen studies participated, creating a database of 10 175 post-infarction cases. Hazard ratios for post-infarction depression were 1.32 (95% CI 1.26-1.38, P<0.001) for all-cause mortality and 1.19 (95% CI 1.14-1.24, P<0.001) for cardiovascular events. Hazard ratios adjusted for disease severity were attenuated by 28% and 25% respectively. The association between depression following myocardial infarction and prognosis is attenuated after adjustment for cardiac disease severity. Still, depression remains independently associated with prognosis, with a 22% increased risk of all-cause mortality and a 13% increased risk of cardiovascular events per standard deviation in depression z-score.
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| 9. |
- Anselmino, M, et al.
(author)
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A gluco-metabolic risk index with cardiovascular risk stratification potential in patients with coronary artery disease
- 2009
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In: Diabetes & vascular disease research. - : SAGE Publications. - 1752-8984 .- 1479-1641. ; 6:2, s. 62-70
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Journal article (peer-reviewed)abstract
- The primary objective of this study was to classify patients with CAD as regards their gluco-metabolic state by easily available clinical variables. A secondary objective was to explore if it was possible to identify CAD patients at a high cardiovascular risk due to metabolic perturbations. The 1,867 patients with CAD were gluco-metabolically classified by an OGTT. Among these, 990 patients had complete data regarding all components of the metabolic syndrome, BMI, HbA1c and medical history. Only FPG and HDL-c adjusting for age significantly impacted OGTT classification. Based on these variables, a neural network reached a cross-validated misclassification rate of 37.8% compared with OGTT. By this criterion, 1,283 patients with complete one-year follow-up concerning all-cause mortality, myocardial infarction and stroke (CVE) were divided into low- and high-risk groups within which CVE were, respectively, 5.1 and 9.4% (p=0.016).Adjusting for confounding variables the relative risk for a CVE based on the neural network was 2.06 (95% CI: 1.18—3.58) compared with 1.37 (95% CI: 0.79—2.36) for OGTT. Conclusions:The neural network, based on FPG, HDL-c and age, showed useful risk stratification capacities; it may, therefore, be of help when stratifying further risk of CVE in CAD patients.
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