The following were not significantly associated with ADPKD and were therefore removed from the model; age, gender, serum haemoglobin, and the presence of urinary tract infections.
In multivariate analysis using the Cox regression model with age, gender, serum hCGβ, nuclear grade and stage as input variables, stage, grade and serum hCGβ concentration were independently associated with the disease specific survival (Table 3-wrap>).
Though consistently increased in patients of either gender, serum triglyceride level was correlated to BMI, serum cholesterol and glucose level only in males, suggesting the gender-specific presence of metabolic syndrome in young-onset hypertension.
In gender combined model, gender was also adjusted in the model.
After including age and gender in the model, only serum glucose levels remained significantly associated with LTL.
Fertility Rites: Bald models, multi-pierced models, gender-neutral models, has-been and prepubescent models.
Logistic regression analysis models were used to evaluate individual effects of genotypes as possible risk factors; multivariate regression analysis models were adjusted for age, gender, total serum cholesterol, coronary artery diseases (CAD) and statin therapy.
Again, the use of biguanides (HR: 0.45; 95% CI: 0.22-0.96) or biguanides associated with sulfonylureas (HR: 0.42; 95% CI: 0.21-0.84) walsolso associated with a reduction in mortality risk.> -wrap-foot> In the Cox model: age, gender; HbA1c, blood pressure values; serum LDL-C, HDL-C and triglycerides categorized by ADA criteria; antihypertensive drugs, lipid-lowering drugs, antidiabetic treatment.
Using a linear regression model employing age, serum folate, vitamin B12, gender and eGFR as independent and Hcy or MMA as dependent variables revealed a highly significant (p < 0.001) inverse relationship of both Hcy and MMA with eGFR.
NSE serum levels were analyzed with a multivariate regression model including gender, age, APACHE II-score at admission, urine output in the first 24 hours and change in serum creatinine in the first 24 hours (ΔCrea24) as independent factors.
