Additional file 1 of Physiological serum uric acid concentrations correlate with arterial stiffness in a sex-dependent manner

Additional file 1. Flow chart of included participants and additional linear regression analysis. Fig. S01: Flow chart numbers of included participants. Table. S03a: Linear regression analyses relating serum urate concentrationsto pulse wave velocity, adjusting for relevant confounders for individuals with age <31 years. Table. S03b: Linear regression analyses relating serum urate concentrationsto pulse wave velocity, adjusting for relevant confounders for individuals with age 31–-50 years. Table. S03c: Linear regression analyses relating serum urate concentrationsto pulse wave velocity, adjusting for relevant confounders for individuals with age >50 years. Table. S04a: Linear regression analyses relating serum urate concentrationsto pulse wave velocity, adjusting for relevant confounders restricted to individuals with normal serum urate levels (male: ]180, 420] μmol/l; female: ]140, 360] μmol/l) and age <31 years, n = 5707; complete model: r2 = 0.250. SD = standard deviation, IQR = interquartile range. Table. S04b: Linear regression analyses relating serum urate concentrationsto pulse wave velocity, adjusting for relevant confounders restricted to individuals with normal serum urate levels (male: ]180, 420] μmol/l; female: ]140, 360] μmol/l) and age 31–-50 years, n = 22,784; complete model: r2 = 0.316. SD = standard deviation, IQR = interquartile range. Table. S04c: Linear regression analyses relating serum urate concentrationsto pulse wave velocity, adjusting for relevant confounders restricted to individuals with normal serum urate levels (male: ]180, 420] μmol/l; female: ]140, 360] μmol/l) and age >50 years, n = 35,604; complete model: r2 = 0.356. SD = standard deviation, IQR = interquartile range. Table. S05: Description of the model variables in persons included in the analysisand in the group excluded due to incomplete data sets.. Fig. S03: Distributions of the standardized residuals of the regression models described in Tables 1,2,3 and 4

Institutions

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29453987.v1
Primary Topic
Gout, Hyperuricemia, Uric Acid
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Additional file 1 of Physiological serum uric acid concentrations correlate with arterial stiffness in a sex-dependent manner

Figshare
Gout, Hyperuricemia, Uric Acid
article

Additional file 1 of Physiological serum uric acid concentrations correlate with arterial stiffness in a sex-dependent manner

article en

Abstract

Additional file 1. Flow chart of included participants and additional linear regression analysis. Fig. S01: Flow chart numbers of included participants. Table. S03a: Linear regression analyses relating serum urate concentrationsto pulse wave velocity, adjusting for relevant confounders for individuals with age <31 years. Table. S03b: Linear regression analyses relating serum urate concentrationsto pulse wave velocity, adjusting for relevant confounders for individuals with age 31–-50 years. Table. S03c: Linear regression analyses relating serum urate concentrationsto pulse wave velocity, adjusting for relevant confounders for individuals with age >50 years. Table. S04a: Linear regression analyses relating serum urate concentrationsto pulse wave velocity, adjusting for relevant confounders restricted to individuals with normal serum urate levels (male: ]180, 420] μmol/l; female: ]140, 360] μmol/l) and age <31 years, n = 5707; complete model: r2 = 0.250. SD = standard deviation, IQR = interquartile range. Table. S04b: Linear regression analyses relating serum urate concentrationsto pulse wave velocity, adjusting for relevant confounders restricted to individuals with normal serum urate levels (male: ]180, 420] μmol/l; female: ]140, 360] μmol/l) and age 31–-50 years, n = 22,784; complete model: r2 = 0.316. SD = standard deviation, IQR = interquartile range. Table. S04c: Linear regression analyses relating serum urate concentrationsto pulse wave velocity, adjusting for relevant confounders restricted to individuals with normal serum urate levels (male: ]180, 420] μmol/l; female: ]140, 360] μmol/l) and age >50 years, n = 35,604; complete model: r2 = 0.356. SD = standard deviation, IQR = interquartile range. Table. S05: Description of the model variables in persons included in the analysisand in the group excluded due to incomplete data sets.. Fig. S03: Distributions of the standardized residuals of the regression models described in Tables 1,2,3 and 4

Figshare
Universität Hamburg (DE), University of Potsdam (DE), German Cancer Research Center (DE), Max Delbrück Center (DE), Heidelberg University (DE), Universitätsmedizin Greifswald (DE), Luther University (KR), Harvard University Press (US), Helmholtz Zentrum München (DE), Christian-Albrechts-Universität zu Kiel (DE), University Medical Center Hamburg-Eppendorf (DE), Leibniz Institute for Prevention Research and Epidemiology - BIPS (DE), Helmholtz Centre for Infection Research (DE), German Centre for Cardiovascular Research (DE), German Institute of Human Nutrition (DE), University of Regensburg (DE), University of Duisburg-Essen (DE), Martin Luther University Halle-Wittenberg (DE), Charité - Universitätsmedizin Berlin (DE), Ludwig-Maximilians-Universität München (DE)
Gender equality
Openalex Percentile: Top 47%
Gout, Hyperuricemia, Uric Acid
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.