22 research outputs found
Balance parameters in patients with vs. without orthostatic hypotension.
<p>Balance parameters in patients with vs. without orthostatic hypotension.</p
The correlation between MNSI and BBS score.
<p>MNSI—Michigan Neuropathy Screening Instrument; BBS—Berg Balance Scale.</p
Balance parameters in patients with vs. without diabetic neuropathy.
<p>Balance parameters in patients with vs. without diabetic neuropathy.</p
Multivariate regression analysis results (dependent variable: BBS score).
<p>Multivariate regression analysis results (dependent variable: BBS score).</p
Patient’s characteristics, stratified according to the presence of diabetic neuropathy.
<p>Patient’s characteristics, stratified according to the presence of diabetic neuropathy.</p
Balance parameters in patients with vs. without orthostatic hypotension.
<p>Balance parameters in patients with vs. without orthostatic hypotension.</p
Survival analysis: dialyzed patients with DM vs. without DM.
<p>Survival analysis: dialyzed patients with DM vs. without DM.</p
Comparison between patients with T2DM without vs. with 25-OH vitamin D deficiency.
<p>*Differences are significant</p><p><sup>a</sup> Distributions are not Gaussian. Data is presented as median and [interquartile range]; p was calculated with Mann-Whitney U test.</p><p><sup>b</sup> Data is presented as mean±S; p was calculated with t-student test.</p><p><sup>c</sup> Data is presented as number and (percentage of total). p was calculated using chi-square test.</p><p>Continuous variables distributions were tested for normality using Shapiro-Wilk test and for equality of variances with Levene’s test.</p><p>Comparison between patients with T2DM without vs. with 25-OH vitamin D deficiency.</p
Multivariate logistic regression model.
<p>* Factors with independent impact in generating vitamin D deficiency, after adjusting for confounding factors</p><p><sup>a</sup> Predictors were added in the model as continuous, scale measured variables</p><p><sup>b</sup> Predictors were added in the model as dichotomous variables</p><p>BMI—body mass index; CAD—Coronary artery disease; DM—diabetes mellitus; PVD—Peripheral vascular disease</p><p>Multivariate logistic regression model.</p
Baseline characteristics of the studied group.
<p><sup>a</sup> Distributions are not Gaussian. Data is presented as median and [interquartile range]</p><p><sup>b</sup> Data is presented as mean±SD</p><p>BMI—body mass index; CAD-Coronary artery disease; PVD—Peripheral vascular disease</p><p>Baseline characteristics of the studied group.</p