8 research outputs found
MOESM2 of Normoalbuminuric kidney impairment in patients with T1DM: insights from annals initiative
Additional file 2: Table S1. Baseline clinical characteristics of 676 patients with T1DM with low eGFR on the basis of micro- and macro-albuminuria. Table S2. Baseline clinical characteristics of 277 patients with DMT1 with low eGFR on the basis of micro- and macro-albuminuria
MOESM1 of Normoalbuminuric kidney impairment in patients with T1DM: insights from annals initiative
Additional file 1: Fig. S1. Flow-chart of population
Additional file 1: Figure S1. of Diabetic kidney disease in the elderly: prevalence and clinical correlates
Odds Ratios with 99.9% confidence interval (CI) for eGFR< 60 mL/min/1.73 m2 (2A) or albuminuria (2B), by age groups. (TIFF 286 kb
Clinical characteristics of study patients on the basis of the presence/ absence of metabolic syndrome and hyperuricemia (top gender-specific quintile).
<p>Clinical characteristics of study patients on the basis of the presence/ absence of metabolic syndrome and hyperuricemia (top gender-specific quintile).</p
Determinants of measures of renal outcome including the presence/absence of Metabolic Syndrome and/or Hyperuricemia.
<p>Determinants of measures of renal outcome including the presence/absence of Metabolic Syndrome and/or Hyperuricemia.</p
Additional file 2: Figure S2. of Diabetic kidney disease in the elderly: prevalence and clinical correlates
Odds Ratios with 99.9% confidence interval (CI) of Q Score groups for eGFR< 60 mL/min/1.73 m2 or albuminuria, by age groups. (TIFF 134 kb
Patients characteristics according to gender.
<p>Patients characteristics according to gender.</p
Quality indicators of diabetes care according to gender.
<p>The first three columns show the likelihood (odds ratios and their 95% confidence intervals) of women as compared to men (reference class) to be monitored for specific clinical parameters, to reach specific clinical outcomes and to be treated with specific classes of drugs. Odds ratios are crude, adjusted for patient characteristics only (age, diabetes duration, BMI, and smoking), and for patient characteristics and clustering effect. Statistically significant differences are in bold. The fourth column shows intra-class correlation coefficients (ICC). The higher the ICC, the greater the influence of the center level on the quality of care indicator. The fifth column shows the results of the multilevel analyses additionally adjusted for process indicators (i.e. monitoring and appropriateness indicators associated with each outcome).</p