18 research outputs found

    Multivariable linear regression models predicting serum TRAIL levels according to selected metabolic characteristics of study participants.

    No full text
    <p>Model 1 adjusted for age and gender.</p><p>Model 2 adjusted for age, gender and C-reactive protein.</p><p>Model 3 adjusted for age, gender, C-reactive protein and all variables included in table.</p><p>Model 4 Model 3 with stepwise backward selection of unnecessary variables (p for removal 0.1).</p

    9 years cumulative survival curves by multivariate Cox proportional hazards model, in 1044 community dwelling older subjects, according to combined levels of plasma LDL-C and HDL-C (adjusted for age, gender, statin therapy, years of school, smoking, alcohol consumption, BMI, creatinine, uric acid, IL-6 plasma levels, serum albumin, hypertension, diabetes,CHD, stroke, CHF, weight loss >4.5 kg in the last year, and diagnosis of cancer).

    No full text
    <p>9 years cumulative survival curves by multivariate Cox proportional hazards model, in 1044 community dwelling older subjects, according to combined levels of plasma LDL-C and HDL-C (adjusted for age, gender, statin therapy, years of school, smoking, alcohol consumption, BMI, creatinine, uric acid, IL-6 plasma levels, serum albumin, hypertension, diabetes,CHD, stroke, CHF, weight loss >4.5 kg in the last year, and diagnosis of cancer).</p
    corecore