Proportions of population with and without chronic conditions among those who reported any problem in either dimension of EQ-5D.

<p>Proportions of population with and without chronic conditions among those who reported any problem in either dimension of EQ-5D.</p

Demographic characteristics and health-related behaviors of study subgroups.

*<p>Reference group I  =  healthy population, representing the respondents without chronic disease and no apparent health problems during the two weeks immediately before the survey.</p>*<p>Reference group II  =  patients without chronic conditions (general patients), representing the respondents without chronic disease but some detectable health problem during the two weeks immediately before the survey.</p

Results of multivariate linear regression models.

<p>Note: a: Model I, in which EQ VAS was the dependent variable, and 13 classes of chronic diseases and socio-demographic and health behavior variables were independent variables;</p><p>b: Model II, in which EQ VAS was the dependent variable, and co-morbidity and socio-demographic and health behavior variables were independent variables;</p><p>c: Regression coefficient (linear relationship) indicating the difference in EQ VAS score comparing each subgroup to the reference;</p><p>d: SE, standard error.</p

Proportions of reporting any problem in EQ-5D and EQ VAS among patients with one or more chronic conditions.

*<p>: chi-square test whether there is any difference among any of the three chronic groups with different number of chronic condition;</p>**<p>: ANOVA test; SE: standard error.</p

Distribution of the EQ-5D self-classified health states of the general population of Shaanxi Province, China.

<p>Distribution of the EQ-5D self-classified health states of the general population of Shaanxi Province, China.</p

Risk of non-chronic problems among respondents with specific chronic diseases.

<p>Note: OR I  =  odds ratio of respondents with the selected chronic diseases relative to reference group I as defined in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0065958#pone-0065958-t001" target="_blank">Table 1</a>; OR II  =  odds ratio of respondents with the selected chronic diseases relative to reference group II as defined in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0065958#pone-0065958-t001" target="_blank">Table 1</a>; *: chi-square test <i>P</i><0.05; **: chi-square test <i>P</i><0.01; No marks: not significant.</p

Serum irisin levels correlated to peritoneal dialysis adequacy in nondiabetic peritoneal dialysis patients

<div><p>Background</p><p>Irisin is a recently discovered myokine thought to be involved in multiple metabolism abnormalities in most dialysis patients. However, the myokine has not been thoroughly studied in peritoneal dialysis. This study aimed to evaluate serum irisin levels and establish their relation to dialysis adequacy, insulin resistance, and bone metabolism status in patients on peritoneal dialysis.</p><p>Methods</p><p>A total of 59 nondiabetic prevalent peritoneal dialysis patients and 52 age- and sex-matched healthy controls were enrolled in this cross-sectional study. Serum irisin concentration was assessed by enzyme-linked immunosorbent assay. The correlations between serum irisin and dialysis adequacy, clinical, and metabolic variables were investigated.</p><p>Results</p><p>Serum irisin levels were lower in nondiabetic peritoneal dialysis patients (17.02ng/ml) compared with healthy controls (22.17ng/ml, P<0.001). Multivariate regression analysis revealed that fasting glucose levels were correlated inversely with serum irisin levels in peritoneal dialysis patients. Serum irisin levels were associated with neither insulin resistance nor bone metabolism in our patients. Serum irisin levels were positively associated with peritoneal Kt/V_urea (β = 4.933, 95% confidence interval [CI] = 0.536–9.331, P = 0.029) and peritoneal C_Cr (β = 0.259, 95% CI = 0.053–0.465, P = 0.015) among peritoneal dialysis patients.</p><p>Conclusions</p><p>The study demonstrated that non-diabetic peritoneal dialysis patients have lower serum irisin levels, and the levels were correlated with peritoneal dialysis adequacy, indicating adequate dialysis may improve irisin secretion. Additional studies are needed to provide a confirmation.</p></div

Irisin levels in PD patients and healthy controls.

<p>The box represents median and interquartile ranges, and error bars show the minimum and the maximum.***<i>P</i><0.001.</p

Additional file 1 of Application of the patient-reported outcome-based postoperative symptom management model in lung cancer: a multicenter randomized controlled trial protocol

Additional file 1

Univariate correlations with circulation irisin levels.

<p>Univariate correlations with circulation irisin levels.</p