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An abstract of the article "Feasibility and burden of multidimensional assessement of heart failure elderly in clinical practice: data from the IMAGE-HF Study," by D. Del Sindaco and colleagues is presented.

Background: Risk functions for cardiovascular risk estimation, specific for the Italian population, have recently been developed. It is possible that using them, instead of the Framingham algorithm, to assess risk and define the indication to cholesterol-lowering therapy might substantially change the rate of statin prescription in primary prevention., Methods: In this study, two different national risk functions, the CUORE Project algorithm and the risk function incorporated in the software Riscard 2002, have been compared to the Framingham algorithm in a cohort of 517 dyslipidemic asymptomatic patients consecutively addressed to a lipid clinic. Contingency tables and kappa value estimation have been used to assess the extent of concordance between them in classifying patients into risk categories, as well as in identifying among them those deserving statin therapy, according to two different sets of guidelines, such as the Adult Treatment Panel III and the reimbursement criteria for statins set by the Italian National Health System., Results: Both national algorithms gave lower risk estimations, in comparison with the Framingham algorithm. A low concordance was found even between the two national algorithms, with lower risk estimates by Riscard 2002. As a consequence, less patients were selected for treatment according to national risk functions. However the prescription rate was more strongly affected by the set of guidelines used to assess the indication to treatment, independent of the method used to estimate risk., Conclusions: Our study confirms that using different risk functions can substantially change risk estimation in dyslipidemic patients, with some implications for statin prescription rate. However, the latter is mainly influenced by the set of guidelines used to identify patients for treatment. Furthermore, the two national algorithms so far available for risk estimation in the Italian population strongly differ in risk estimates, suggesting the need for further testing their accuracy.

Purpose: To examine whether serum insulin-like growth factor 1 (IGF-1) and IGF binding protein 3 (IGFBP-3) concentrations, determined early after the onset of stroke, are predictive of clinical outcome in elderly patients., Methods: The sample comprised 85 patients (mean [+/- SD] age, 83 +/- 7.4 years; range, 67 to 99 years; 34% male) who were admitted with acute stroke to a geriatric ward between January 1998 and June 2000, and 88 control patients who were similar in age and sex. Clinical and laboratory assessments, computed tomographic scan of the head, carotid ultrasonography, and electrocardiography were employed to define the clinical and etiologic stroke subtype. Fasting blood samples were collected within 24 hours of admission for IGF-I and IGFBP-3 measurement. Univariate and multiple logistic regression analyses, with adjustment for other related clinical covariates, were used to assess the relation of IGF-I and IGFBP-3 to poor outcome, defined as severe disability (Barthel index <60/100) or death, at 1 month (or at discharge), 3 months, and 6 months., Results: Mean (+/- SD) IGF-1 levels were lower in patients with stroke than in controls (69 +/- 45 ng/mL vs. 102 +/- 67 ng/mL, P adjusted for age = 0.001). The mean IGF-1/IGFBP-3 molar ratio was also lower in stroke patients (0.12 +/- 0.07 vs. 0.19 +/- 0.09, P adjusted for age <0.0001). However, there was no relation of hormone levels to either the clinical subtype of stroke or the extent of neurologic impairment. IGF-1 levels were inversely related to poor outcome (mainly death) at 3 and 6 months, independent of other clinical covariates that were highly predictive of outcome, such as age and stroke scale score on admission (hazard ratio for death at 6 months for each 20-ng/mL increase = 0.7; 95% confidence interval: 0.5 to 0.9). An independent association of the molar ratio with death at 3 and 6 months was also found., Conclusion: Low levels of circulating IGF-1 may predict the clinical outcome of stroke in elderly patients.

In this study, we investigated the association of lipids with ischemic stroke and its different subtypes in elderly patients. In particular, lipid parameters not extensively investigated so far in previous case-control studies specifically focused in the old population, such as lipoprotein Lp (a) and Apoproteins AI (ApoAI) and B (ApoB), have been taken into account. Seventy nine patients (mean age 83 +/- 7.4, range 67-99), consecutively admitted to a Geriatric Ward between January 1998 and June 2000 with acute stroke (first event) were studied. A complete clinical and laboratory assessment, including neurological evaluation, head CT scan, carotid ultrasonography and ECG, was employed to define the clinical and etiologic stroke subtype, according to standardized criteria. Fasting blood samples were collected within 48 h from admission, for determination of total cholesterol (TC), triglycerides (TG), High Density Lipoprotein-cholesterol (HDL-C), Lp(a), ApoAI and ApoB; Low Density Lipoprotein-Cholesterol (LDL-C) was estimated by Friedwald formula. Eighty eight age and sex-matched outpatients, referred to the hospital for non-inflammatory disorders of joints and musculoskeletal system, served as controls. Patients showed HDL-C and HDL-C/ApoAI ratio significantly lower than controls, with higher LDL-C/HDL-C ratio. Analysis on quartiles of lipoprotein concentrations showed also a significant increase in odds of stroke for LDL-C concentrations over 100 mg/dl, in absence of a linear relationship between LDL-C levels and risk. Multiple logistic regression, adjusting for non-lipid risk factors for stroke, confirmed the independent association of low HDL-C and HDL-C/ApoAI with all strokes, as well as with each subtype. In conclusion, these data suggest that lipids give some contribution to stroke risk even in the elderly, with a more prevalent role for HDL than LDL, and that lipid profile assessment must be taken into account in estimating the individual risk of stroke.