Kaplan-Meier estimates of the probability of all-cause and cardiovascular mortality during follow-up in participants with and without diabetes, and by status for anaemia.

<p>The upper figure panel is for cardiovascular disease and the lower for all-cause mortality.</p

Baseline characteristics by status for anaemia and diabetes.

<p>SD, standard deviation.</p

Incident all-cause and cardiovascular disease (CVD) mortality (per 1000 person-years of follow-up) in participants with and without diabetes, with further stratification by status for anaemia and existing CVD.

<p>+ denotes the presence of the characteristic, and – denotes its absence.</p

Effect of various coding of total haemoglobin on the association with cardiovascular disease (upper panels) and all-cause (lower panels) mortality in age, sex and cohort adjusted Cox regression models.

<p>The solid curve depicts the shape of the shape of the association across the continuum of total haemoglobin, and the shaded area if for the 95% confidence interval around the curve.</p

Incidence all-cause and Cardiovascular and all-cause mortality per 1000 person-years of follow-up and hazard ratios.

*<p>Cox models are adjusted for cohort, age, sex,</p>†<p>Cox models are further adjusted for smoking systolic blood pressure, total cholesterol, BMI and prior CVD.</p><p>CI, confidence interval; HR, hazard ratio; prs, person-years.</p

Weight loss over 12 months after bariatric surgery according to MC4R genotype (mean±SEM).

<p>Weight loss was expressed as a percentage of weight at baseline (surgery). Carriers and non-carriers were matched for age, sex, weight and surgery procedure (gastric banding or bypass). A) Weight loss in carriers and non-carriers of functional MC4R mutations. B) Weight loss data in carriers and non-carriers of the allele rs17782313-C. C) Weight loss data in carriers and non-carriers of MC4R polymorphisms Ile251Leu, Val103Ile, D) Weight loss data in carriers and non-carriers of MC4R polymorphism A_178C.</p

Flow chart for sample selection (RRT: Renal replacement therapy).

<p>Relative to the excluded patients, the included patients did not differ significantly in terms of gender and the prevalence of congestive heart failure but were older (+1 year, p<0.001), had a slight lower eGFR at initiation (-0.2ml/min, p = 0.03), were less likely to have diabetes (-2%, p<0.002) and had different patterns of initially treated conditions or primary renal disease (Table A in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0176616#pone.0176616.s001" target="_blank">S1 File</a>).</p

Fat mass percentage at 12 months after bariatric surgery according to MC4R genotype.

<p>A, plot percentage of fat mass in carriers and non-carriers of functional MC4R mutations. B, plot percentage of fat mass in carriers and non-carriers of the allele rs17782313-C. C, plot percentage of fat mass in carriers and non-carriers of MC4R polymorphisms: Ile251Leu, Val103Ile. D, plot percentage of fat mass in carriers and non-carriers of MC4R polymorphism: A_178C.</p

Multivariate associations between body mass index (BMI) at the start of dialysis and access to kidney transplantation.

<p>*Adjusted for gender, age, congestive heart failure, diabetes, chronic respiratory disease, coronary heart disease, cardiac dysrhythmia, peripheral vascular disease, active cancer disease and stroke.</p

Patient characteristics according to the BMI level at start of dialysis.

<p>Patient characteristics according to the BMI level at start of dialysis.</p