title: The role of lipid profile in determining the risk of ischemic stroke in the elderly: a case-control study.
abstract: 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.
authors.affiliation: Chair of Geriatrics University of Parma-Geriatrics Ward, Stuard Hospital, Via Don Bosco 2, 43100 Parma, Italy. geriat@unipr.it
authors.forename: Licia
authors.initials: L
authors.lastname: Denti
authors.forename: Alessandra
authors.initials: A
authors.lastname: Cecchetti
authors.forename: Valentina
authors.initials: V
authors.lastname: Annoni
authors.forename: Maria Francesca
authors.initials: MF
authors.lastname: Merli
authors.forename: Fabrizio
authors.initials: F
authors.lastname: Ablondi
authors.forename: Giorgio
authors.initials: G
authors.lastname: Valenti
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000704:Analysis of Variance; D002545:Brain Ischemia / Q000097:blood* / Q000453:epidemiology; D016022:Case-Control Studies; D016009:Chi-Square Distribution; D004797:Enzyme-Linked Immunosorbent Assay; D005260:Female; D006801:Humans; D008055:Lipids / Q000097:blood*; D016015:Logistic Models; D008297:Male; D012307:Risk Factors
chemical_list: D008055:Lipids