9 research outputs found

    Uso de MDRD-IDMS y CKD-EPI para estimar la velocidad de filtración glomerular y prevalencia de enfermedad renal crónica en población adulta en Chile.

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    <p>Estudio poblacion adulta que compara el efecto de utilizar la formula MDRD-IDMS y CKD-EPI para estimar la velocidad de filtarcion glomerular.</p> <p>Trabajo presentado en el Congreso de Nefrologia e Hipertensión de Chile 2013.</p

    Additional file 10: of Hospital acquired Acute Kidney Injury is associated with increased mortality but not increased readmission rates in a UK acute hospital

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    Comparison of comorbidities between the differing populations of patients: those who died in the first admission, those who survived and were readmitted and those who survived and weren’t readmitted. (DOCX 15 kb

    Linear regression models for cystatin C-based estimated glomerular rate (eGFR) at age 60–64 years (ml/min/1.73 m<sup>2</sup>, dependent variable).

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    A<p>Likelihood ratio test.</p>B<p>Only reported where appropriate.</p>C<p>Approximately 1 standard deviation.</p>D<p>Latent trajectories previously derived from systolic blood pressure data at ages 36, 43 and 53 years <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0086743#pone.0086743-Wills1" target="_blank">[18]</a>.</p><p>All models adjusted for sex and age at cystatin C measurement.</p

    Causal diagram showing inter-relation of variables.

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    <p>Arrows show the assumed direction of causal influence, with the double-headed arrow between cognitive function at age 60–64 years and eGFR at age 60–64 years indicating that we make no assumption about the direction of causality between these two variables. SEP, socio-economic position; eGFR, estimated glomerular filtration rate.</p

    Distributions of variables.

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    <p>Restricted to study members non-missing for at least one measure of cognitive function at age 60–64 years and cystatin C-based estimated glomerular rate (eGFR) at age 60–64 years.</p><p>IQR, inter-quartile range.</p>A<p>Weighted according to the original social class-stratified sampling.</p>B<p>HbA1c (mmol/mol) = (HbA1c (%) –2.15)×10.929.</p>C<p>Latent trajectories previously derived from systolic blood pressure data at ages 36, 43 and 53 years <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0086743#pone.0086743-Wills1" target="_blank">[18]</a>.</p

    Additional file 1: Table S1. of Effect of mineralocorticoid receptor antagonists on proteinuria and progression of chronic kidney disease: a systematic review and meta-analysis

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    Assessment of bias. Table S2. Baseline characteristics for individual study groups. Table S3. Comparison of baseline data in meta-analyses. Table S4. Events reported in trials analysed CVA- cerebrovascular accident; MI- myocardial infarction; CABG- coronary artery bypass graft. Figure S1. Plot of percentage reduction in proteinuria/albuminuria (any measure) SBP (mmHg) at final visit across all studies. Each study is represented by a single circle, scaled to number of participants in the study. Figure S2. Effect of addition of MRA on all-cause mortality in RRT studies. Figure S3. Funnel plot (pseudo 95 % confidence limits) showing no evidence of publication bias for GFR (Egger test p = 0.89). Figure S4. Funnel plot (pseudo 95 % confidence limits) showing no evidence of publication bias for hyperkalaemia (Egger test p = 0.81). Appendix 1. Search strategy. Appendix 2. Sample data extraction form. (DOCX 192 kb
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