**2.7 Statistical analysis**

324 Dyslipidemia - From Prevention to Treatment

**Parameters Assay Automates Normal values** 

Enzymatic Konelab 30

*c-LDL* < 3.4 mmol/L

*ApoB* 0.7-1.3 g/L *Lp(a)* < 200 mg/L

*Folate* ≥ 3.7 µg/L

*Insulin* < 17µU/mL

Body mass index (BMI) was calculated as weight (kg) divided by height (m²). Obesity was defined when BMI ≥ 30 kg/m² and overweight when BMI ≥ 25 kg/m² (World Health

Metabolic syndrome (MS) was defined according to the National Cholesterol Education Program (NCEP) Adult Treatment Panel (ATP) III modified criteria and required fulfillment of at least three of the following five components: body mass index (BMI) ≥ 28.5 kgm2, triglycerides ≥ 1.7 mmol/L, high-density lipoprotein cholesterol (c-HDL) < 1.1 mmol/L (in men) and < 0.9 mmol/L (in women), blood pressure ≥ 130 ⁄85 mmHg and fasting glucose (≥

Insulin resistance (IR) was estimated using the Homeostasis Model of Assessment equation: HOMA-IR = [fasting insulin (mU/L) × fasting glucose (mmol/L)]/22.5. IR was defined as the upper quartile of HOMA-IR. Values above 2.5 were taken as abnormal and reflect insulin resistance (Ozdemir et al., 2007). Bipolar patients with diabetes (n = 21) were

Immunoturbidimetry

(FPIA)

Electrochemiluminescence

6.1 mmol/L) (National Cholesterol Education Program, 2002).

Table 2. Methods of dosage of the studied parameters.

*Uric acid* Enzymatic

*Homocysteine* Fluorescence polarization

*Triglycerides* < 1.7 mmol/L *c-HDL* Men: ≥ 1.1 mmol/L

> equipment (Thermo Electron Corporation, Ruukintie, Finland)

AxSYM® (Abbott Laboratories, Abbott Park, IL 60064, Barcelaneta, Puerto Rico)

Elecsys 2010TM (Roche Diagnostics, Indianapolis, IN, USA)

< 5.17 mmol/L

Women: ≥ 0.9 mmol/L

1.2- 1.6 g/L

Men: 210-420 µmol/L Women: 150-360 µmol/L

< 15 µmol/L

≥ 187ng/L

*Cholesterol* 

*ApoA1* 

*Vitamin B12* 

**2.4 Clinical evaluation** 

**2.5 Criteria for metabolic syndrome** 

**2.6 HOMA-IR determination** 

excluded in the HOMA-IR analysis.

Organization, 1997).

Statistical analyses were performed using SPSS 17.0 (SPSS, Chicago, IL, USA). Quantitative variables were presented as mean ± SD and comparisons were performed using the Student's t test. Qualitative variable comparisons were performed using the Chi-squared test (χ2) and Fisher's exact test (when n < 5). Comparisons between patients and controls in biological parameters were performed using analysis of variance (ANOVA) after adjustment for potential confounder factors. Odd ratios (ORs) and their 95% condence interval (CI) were calculated and adjusted for potential confounder factors by binary logistic regression. The statistical significance level was set at *p* < 0.05. All variables with a *p* value < 0.25 between the two studied groups (patients and controls) were considered as potential confounder factors for this analysis.
