6 research outputs found

    Valutazione equitativa del danno

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    Il contributo affronta, con riferimenti dottrinali e giurisprudenziali, il tema della valutazione del danno svolta dal giudice secondo equit\ue0 ex art.2056, soffermandosi sul danno alla persona, sulla lesione dei diritti della personalit\ue0, sui danni nel campo della propriet\ue0, sui danni provocati dalla P.A., sui danni processuali ed altre tipologie.The contribution addresses, with doctrinal and jurisprudential references, the issue of the assessment of damage carried out by the judge according to equity pursuant to art.2056, focusing on the personal injuries, on the damages in the field of property, in the relations with Public Administration, damages caused by wrong trials and other types of liability

    Valutazione dei danni

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    Il contributo affronta, con riferimenti dottrinali e giurisprudenziali, il tema della valutazione del danno svolta dal giudice secondo equit\ue0 ex art.1226, prendendo in considerazione i danni nell'ambito del rapporto di lavoro, da discriminazione, da vacanza rovinata, nel campo dei rapporti bancari e finanziari, nella responsabilit\ue0 professionale e nel diritto industriale.The article addresses, with doctrinal and jurisprudential references, the issue of the quantification of damage made by the judge, according to equity pursuant to art.1226, taking into account the damages in the fields of labour, banking, financial and industrial law, professional liability and anti -discrimination law

    Ankle brachial pressure index usefulness as predictor factor for coronary heart disease in diabetic patients.

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    Ankle brachial pressure index (ABPI) is a non-invasive marker of atherosclerosis, helpful to identify subjects at high-risk for coronary heart disease (CHD) among large populations with cardiovascular disease (CVD) risk factors. The diagnostic role of ABPI has been also recognized in patients with diabetes. In the present study, the role of an ABPI score or = 66 yr (OR: 1.8; 95% CI: 1.3-2.5), body mass index (BMI) > 30 (OR: 1.5; 95% CI: 1.1-2.1), waist circumference > 88 cm for females and 102 cm for males (OR: 1.5; 95% CI: 1.0-2.1), proteinuria > or = 30 microg per min (OR: 1.6; 95% CI: 1.1-2.3), LDL-cholesterol > or = 100 mg/dl (OR: 2.1; 95% CI: 1.5-3.0), glycated hemoglobin > 7% (OR: 1.6; 95% CI: 1.1-2.3), insulin therapy (OR: 1.9; 95% CI: 1.3-2.9), and ABPI or = 0.90 (p<0.05). At the multivariate analysis, ABPI < 0.90 was the best factor independently associated with CHD (p<0.001). APBI < 0.90 is strongly associated to CHD in Type 2 diabetic patients. We recommend to use ABPI in diabetic patients and to carefully monitor diabetic subjects with an ABPI lower than 0.90
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