18 research outputs found
Partial linear correlation coefficients of serum TRAIL levels and metabolic characteristics of study participants.
<p>Partial linear correlation coefficients of serum TRAIL levels and metabolic characteristics of study participants.</p
Metabolic characteristics of study participants.
<p>Metabolic characteristics of study participants.</p
Multivariable linear regression models predicting serum TRAIL levels according to selected metabolic characteristics of study participants.
<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
Characteristics of study participants according to TRAIL distribution.
<p>Characteristics of study participants according to TRAIL distribution.</p
Correlation matrix between metabolic and anthropometric characteristics of study participants.
<p>Correlation matrix between metabolic and anthropometric characteristics of study participants.</p
Additional file 1: Table S1. of Adipokines levels in HIV infected patients: lipocalin-2 and fatty acid binding protein-4 as possible markers of HIV and antiretroviral therapy-related adipose tissue inflammation
General characteristics of the population according to treatment status. (DOCX 15Â kb
Additional file 1: of Gene expression regional differences in human subcutaneous adipose tissue
Microarray complete dataset (normalized). (XLSX 7797 kb
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>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
Crude mortality rate and relative adjusted Hazard Ratio for 9 years principal causes of death (cardiovascular disease, cancer, and other causes) in 1044 community dwelling older individuals enrolled into the INCHIANTI study according to combined levels of LDL-C and HDL-C.
<p>Crude mortality rate and relative adjusted Hazard Ratio for 9 years principal causes of death (cardiovascular disease, cancer, and other causes) in 1044 community dwelling older individuals enrolled into the INCHIANTI study according to combined levels of LDL-C and HDL-C.</p
Principal characteristics of 1044 community dwelling older individuals enrolled into the INCHIANTI study according to combined levels of LDL-C and HDL-C (LDL-C cut off: 130 mg/dl; HDL-C cut off: 40 mg/dl males, 50 mg/dl females).
<p>Principal characteristics of 1044 community dwelling older individuals enrolled into the INCHIANTI study according to combined levels of LDL-C and HDL-C (LDL-C cut off: 130 mg/dl; HDL-C cut off: 40 mg/dl males, 50 mg/dl females).</p