The presentation and distribution of several clinical features in exceptional responders (Table 1) appear to be similar to those seen in MM in general, including gender, hemoglobin concentration, monoclonal protein type, serum M protein concentration and bone marrow involvement.
The input layer consisted of seven neurons (age, gender and concentrations of aluminium, copper, iron, manganese and zinc).
Multivariate regression analysis revealed that older age, male gender, serum concentrations of glycated albumin, hs-CRP, Lp (a), and creatinine were independent risk factors for CAD development in patients with type 2 diabetes (Tables 2 and 3).
Models adjusted for age and BMI; model with men and women combined is also adjusted for gender; nitrate concentrations in mg/L The results were unchanged in a sensitivity analysis that excluded participants whose residences were possibly connected to public water supplies (data not shown).
Gender-specific concentrations were significantly lowered in patients with CRC compared to the control group.
We cultured primary rabbit articular chondrocytes from both genders with varying concentration of sex hormones.
Multiple regression analyses including age, body weight, gender and drug concentration showed significant correlations between the percentage improvement and the improved scores of cognitive symptoms and C3435T genotypes.
In this study we examined the influence of variables such as age, gender, preoperative hemoglobin concentration and type of revision surgery on blood loss, transfusion rates, and length of hospitalization following revision THR.
For the BD sample, gender, age, serum concentration of the medication, and total scores of IDS-C and YMRS (lamotrigine and lithium), or GAF-S (valproate, due to smaller sample) were set as independent variables.
For example, Gerdtham et al. [12] investigated the effects of health rating scales, Wagstaff and Watanabe [13] investigated the relationship between malnutrition, and consumption and wealth, Gravelle [14] removed the effects of age and gender from a concentration index, and Erreygers [15] proposed a new rank-dependent measure.
