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Blood pressure components and the risk for proteinuria in Japanese men: The Kansai Healthcare Study

BACKGROUND: We examined prospectively which of the four blood pressure (BP) components (systolic BP [SBP], diastolic BP [DBP], pulse pressure [PP], and mean arterial pressure [MAP]) was best in predicting the risk of proteinuria. METHODS: This prospective study included 9341 non-diabetic Japanese mi...

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Autores principales: Shibata, Mikiko, Sato, Kyoko Kogawa, Uehara, Shinichiro, Koh, Hideo, Kinuhata, Shigeki, Oue, Keiko, Kambe, Hiroshi, Morimoto, Michio, Hayashi, Tomoshige
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5608588/
https://www.ncbi.nlm.nih.gov/pubmed/28709559
http://dx.doi.org/10.1016/j.je.2016.10.010
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author Shibata, Mikiko
Sato, Kyoko Kogawa
Uehara, Shinichiro
Koh, Hideo
Kinuhata, Shigeki
Oue, Keiko
Kambe, Hiroshi
Morimoto, Michio
Hayashi, Tomoshige
author_facet Shibata, Mikiko
Sato, Kyoko Kogawa
Uehara, Shinichiro
Koh, Hideo
Kinuhata, Shigeki
Oue, Keiko
Kambe, Hiroshi
Morimoto, Michio
Hayashi, Tomoshige
author_sort Shibata, Mikiko
collection PubMed
description BACKGROUND: We examined prospectively which of the four blood pressure (BP) components (systolic BP [SBP], diastolic BP [DBP], pulse pressure [PP], and mean arterial pressure [MAP]) was best in predicting the risk of proteinuria. METHODS: This prospective study included 9341 non-diabetic Japanese middle-aged men who had no proteinuria and an estimated glomerular filtration rate ≥60 mL/min/1.73 m(2) and were not taking antihypertensive medications at entry. Persistent proteinuria was defined if proteinuria was detected two or more times consecutively and persistently at the annual examination until the end of follow-up. We calculated the difference in values of Akaike's information criterion (ΔAIC) in comparison of the BP components-added model to the model without them in a Cox proportional hazards model. RESULTS: During the 84,587 person-years follow-up period, we confirmed 151 cases of persistent proteinuria. In multiple-adjusted models that included a single BP component, the hazard ratios for persistent proteinuria for the highest quartile of SBP, PP, and MAP were 3.11 (95% confidence interval [CI], 1.79–5.39), 1.87 (95% CI, 1.18–2.94), and 2.21 (95% CI, 1.33–3.69) compared with the lowest quartile of SBP, PP, and MAP, respectively. The hazard ratio for the highest quartile of DBP was 2.69 (95% CI, 1.65–4.38) compared with the second quartile of DBP. Of all models that included a single BP component, those that included SBP alone or DBP alone had the highest values of ΔAIC (14.0 and 13.1, respectively) in predicting the risk of persistent proteinuria. CONCLUSIONS: Of all BP components, SBP and DBP were best in predicting the risk of persistent proteinuria in middle-aged Japanese men.
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spelling pubmed-56085882017-09-29 Blood pressure components and the risk for proteinuria in Japanese men: The Kansai Healthcare Study Shibata, Mikiko Sato, Kyoko Kogawa Uehara, Shinichiro Koh, Hideo Kinuhata, Shigeki Oue, Keiko Kambe, Hiroshi Morimoto, Michio Hayashi, Tomoshige J Epidemiol Original Article BACKGROUND: We examined prospectively which of the four blood pressure (BP) components (systolic BP [SBP], diastolic BP [DBP], pulse pressure [PP], and mean arterial pressure [MAP]) was best in predicting the risk of proteinuria. METHODS: This prospective study included 9341 non-diabetic Japanese middle-aged men who had no proteinuria and an estimated glomerular filtration rate ≥60 mL/min/1.73 m(2) and were not taking antihypertensive medications at entry. Persistent proteinuria was defined if proteinuria was detected two or more times consecutively and persistently at the annual examination until the end of follow-up. We calculated the difference in values of Akaike's information criterion (ΔAIC) in comparison of the BP components-added model to the model without them in a Cox proportional hazards model. RESULTS: During the 84,587 person-years follow-up period, we confirmed 151 cases of persistent proteinuria. In multiple-adjusted models that included a single BP component, the hazard ratios for persistent proteinuria for the highest quartile of SBP, PP, and MAP were 3.11 (95% confidence interval [CI], 1.79–5.39), 1.87 (95% CI, 1.18–2.94), and 2.21 (95% CI, 1.33–3.69) compared with the lowest quartile of SBP, PP, and MAP, respectively. The hazard ratio for the highest quartile of DBP was 2.69 (95% CI, 1.65–4.38) compared with the second quartile of DBP. Of all models that included a single BP component, those that included SBP alone or DBP alone had the highest values of ΔAIC (14.0 and 13.1, respectively) in predicting the risk of persistent proteinuria. CONCLUSIONS: Of all BP components, SBP and DBP were best in predicting the risk of persistent proteinuria in middle-aged Japanese men. Elsevier 2017-07-11 /pmc/articles/PMC5608588/ /pubmed/28709559 http://dx.doi.org/10.1016/j.je.2016.10.010 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Original Article
Shibata, Mikiko
Sato, Kyoko Kogawa
Uehara, Shinichiro
Koh, Hideo
Kinuhata, Shigeki
Oue, Keiko
Kambe, Hiroshi
Morimoto, Michio
Hayashi, Tomoshige
Blood pressure components and the risk for proteinuria in Japanese men: The Kansai Healthcare Study
title Blood pressure components and the risk for proteinuria in Japanese men: The Kansai Healthcare Study
title_full Blood pressure components and the risk for proteinuria in Japanese men: The Kansai Healthcare Study
title_fullStr Blood pressure components and the risk for proteinuria in Japanese men: The Kansai Healthcare Study
title_full_unstemmed Blood pressure components and the risk for proteinuria in Japanese men: The Kansai Healthcare Study
title_short Blood pressure components and the risk for proteinuria in Japanese men: The Kansai Healthcare Study
title_sort blood pressure components and the risk for proteinuria in japanese men: the kansai healthcare study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5608588/
https://www.ncbi.nlm.nih.gov/pubmed/28709559
http://dx.doi.org/10.1016/j.je.2016.10.010
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