Additional file 1: Figure S1. of Dynamics of cinacalcet use and biochemical control in hemodialysis patients: a retrospective New-user cohort design

Consort construction. Figure S2: Study design for identifying cinacalcet discontinuation. Figure S3: Study design for identifying cinacalcet reinitiation. Table S1: Baseline covariates. Table S2: Time-varying covariates. Table S3: Baseline characteristics overall and stratified by race and gender. Table S4. Time-dependent covariates by follow-up months. Table S5: Predictors of discontinuation and reinitiation. Table S6: Predictors of reinitiation sensitivity analysis. Table S7: Time-dependent cinacalcet dose by follow-up months. Figure S4: Vitamin D trends following cinacalcet initiation and discontinuation. (DOCX 377 kb

Unadjusted and adjusted Odds Ratios (OR) and 95% Confidence Intervals (95%CI) for albuminuria.

<p>Unadjusted and adjusted Odds Ratios (OR) and 95% Confidence Intervals (95%CI) for albuminuria.</p

Distribution of attributes, National Health and Nutrition Examination Survey 1999–2004, overall and by albuminuria status.

<p>P values use t-test for differences in means, and Wald chi-square test for proportions.</p>*<p>Note that values in the table are weighted to take into account the complex survey design; however, the counts of number of subjects with (n = 1326) and without albuminuria (n = 8032) are not weighted for the survey design.</p>†<p>Triglyceride levels available only for the subset (n = 4457) with fasting morning blood draw.</p

Adjusted Odds Ratios (aORs) comparing albuminuria among consumers of 2+ vs. 0–1 sugary soft drinks per day, stratified by body mass index (BMI) category.

<p>Trend line shows a quadratic model fit to the aORs; vertical lines represent 95% Confidence Intervals. The aORs are adjusted for age, race, ethnicity, and poverty status, but not BMI. BMI is used only as a stratification variable. Figure excludes subjects with BMI<17.5 kg/m² (n = 61).</p

Proportion consuming 2+ sugary sodas (cells) by quartile of energy intake (rows) and body mass index (BMI) category (columns).

<p>Note: “Column differences” χ² p-value assess whether sugary soda consumption differs by level of caloric consumption within each BMI category. “Row differences” χ² p-value assess whether sugary soda consumption differs by BMI category within each level of energy intake.</p

Prevalence of albuminuria among NHANES 1999–2004 non-diabetics age 20 and over, unadjusted and adjusted for age, according to sugary soft drink consumption.

<p>Prevalence of albuminuria among NHANES 1999–2004 non-diabetics age 20 and over, unadjusted and adjusted for age, according to sugary soft drink consumption.</p

U.S. trends in total sugar availability, High Fructose Corn Syrup (HFCS) availability, soft drink consumption, and incident diabetic end-stage renal disease (ESRD) over time.

<p>Data on sweetener availability from USDA <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0003431#pone.0003431-USDA1" target="_blank">[38]</a>; soft drink consumption from Nielsen and Popkin <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0003431#pone.0003431-Nielsen1" target="_blank">[8]</a>; and incident diabetic ESRD from the United States Renal Data System <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0003431#pone.0003431-USRDS1" target="_blank">[54]</a>.</p

Adjusted Odds Ratios (aORs) comparing albuminuria among consumers of 2+ vs. 0–1 sugary soft drinks per day, according to interaction with body mass index (BMI).

<p>Adjusted for diet soda consumption, age, race, ethnicity, poverty status, BMI, and BMI-squared.</p