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Mortality risk of chronic kidney disease: A comparison between the adult populations in urban China and the United States
Chronic kidney disease (CKD) is a risk factor for all-cause mortality in the United States, but the evidence from China is limited. We investigate whether prognosis of CKD (mortality) differs between the two countries. In particular, we sought to compare the strength of association between CKD stage...
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Published in: | PloS one 2018-03, Vol.13 (3), p.e0193734-e0193734 |
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creator | Wang, Jinwei Wang, Fang Saran, Rajiv He, Zhi Zhao, Ming-Hui Li, Yi Zhang, Luxia Bragg-Gresham, Jennifer |
description | Chronic kidney disease (CKD) is a risk factor for all-cause mortality in the United States, but the evidence from China is limited. We investigate whether prognosis of CKD (mortality) differs between the two countries. In particular, we sought to compare the strength of association between CKD stage and all-cause mortality, by country.
Mortality-linked data from China National Survey of Chronic Kidney Disease (urban population, n = 25,269) and US NHANES (2005-2010, n = 15,209) for adults >20 years old were analyzed. The Chinese cohort was followed until Dec 31, 2013, while the NHANES cohort until Dec 31, 2011. CKD was defined by eGFR |
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Mortality-linked data from China National Survey of Chronic Kidney Disease (urban population, n = 25,269) and US NHANES (2005-2010, n = 15,209) for adults >20 years old were analyzed. The Chinese cohort was followed until Dec 31, 2013, while the NHANES cohort until Dec 31, 2011. CKD was defined by eGFR <60ml/min/1.73m2 or albuminuria (defined as ACR ≥30mg/g). Weighted Cox models were used to evaluate the association between the two CKD indicators and mortality. Both stratified and combined models (with country interactions) were explored.
The Chinese sample had a lower proportion of eGFR<60 ml/min/1.73m2 (3.7% vs. 6.9%) and albuminuria (7.6% vs. 9.0%), compared to the US. Higher rates of mortality were observed with higher stages of CKD in both countries. HRs for mortality in the more advanced CKD categories reached 2.18 (1.14-4.15) in China and 1.66 (1.18-2.32) in the US in the absence of albuminuria, and 2.30 (1.13-4.68) and 3.04 (2.33-3.96) in the presence of albuminuria. No significant interactions were detected between country and these categories.
The association between albuminuria and reduced eGFR and all-cause mortality was similar in both countries, with albuminuria being associated with the larger effect size compared to lower eGFR.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0193734</identifier><identifier>PMID: 29543826</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adults ; Albuminuria ; Albuminuria - complications ; Biology and Life Sciences ; Cardiovascular disease ; China ; Chronic kidney failure ; Complications and side effects ; Cross-Sectional Studies ; Demographic aspects ; Diabetes ; Epidemiology ; Epidermal growth factor receptors ; Etiology ; Female ; Glomerular Filtration Rate ; Health aspects ; Health care ; Health risks ; Hospitals ; Humans ; Internal medicine ; Kidney diseases ; Kidneys ; Male ; Medicine and Health Sciences ; Meta-analysis ; Middle Aged ; Mortality ; Nephrology ; Nutrition ; People and Places ; Population ; Preventive medicine ; Prognosis ; Proportional Hazards Models ; Renal Insufficiency, Chronic - mortality ; Renal Insufficiency, Chronic - physiopathology ; Risk Factors ; Systematic review ; Trends ; United States ; Urban populations</subject><ispartof>PloS one, 2018-03, Vol.13 (3), p.e0193734-e0193734</ispartof><rights>COPYRIGHT 2018 Public Library of Science</rights><rights>2018 Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2018 Wang et al 2018 Wang et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-d1d8adf5cd324db18142ae3a98bd7eb74a5849c943d96aa7abf7a840237734093</citedby><cites>FETCH-LOGICAL-c692t-d1d8adf5cd324db18142ae3a98bd7eb74a5849c943d96aa7abf7a840237734093</cites><orcidid>0000-0003-0128-8408</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2014447008/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2014447008?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29543826$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Jia, Zhanjun</contributor><creatorcontrib>Wang, Jinwei</creatorcontrib><creatorcontrib>Wang, Fang</creatorcontrib><creatorcontrib>Saran, Rajiv</creatorcontrib><creatorcontrib>He, Zhi</creatorcontrib><creatorcontrib>Zhao, Ming-Hui</creatorcontrib><creatorcontrib>Li, Yi</creatorcontrib><creatorcontrib>Zhang, Luxia</creatorcontrib><creatorcontrib>Bragg-Gresham, Jennifer</creatorcontrib><title>Mortality risk of chronic kidney disease: A comparison between the adult populations in urban China and the United States</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Chronic kidney disease (CKD) is a risk factor for all-cause mortality in the United States, but the evidence from China is limited. We investigate whether prognosis of CKD (mortality) differs between the two countries. In particular, we sought to compare the strength of association between CKD stage and all-cause mortality, by country.
Mortality-linked data from China National Survey of Chronic Kidney Disease (urban population, n = 25,269) and US NHANES (2005-2010, n = 15,209) for adults >20 years old were analyzed. The Chinese cohort was followed until Dec 31, 2013, while the NHANES cohort until Dec 31, 2011. CKD was defined by eGFR <60ml/min/1.73m2 or albuminuria (defined as ACR ≥30mg/g). Weighted Cox models were used to evaluate the association between the two CKD indicators and mortality. Both stratified and combined models (with country interactions) were explored.
The Chinese sample had a lower proportion of eGFR<60 ml/min/1.73m2 (3.7% vs. 6.9%) and albuminuria (7.6% vs. 9.0%), compared to the US. Higher rates of mortality were observed with higher stages of CKD in both countries. HRs for mortality in the more advanced CKD categories reached 2.18 (1.14-4.15) in China and 1.66 (1.18-2.32) in the US in the absence of albuminuria, and 2.30 (1.13-4.68) and 3.04 (2.33-3.96) in the presence of albuminuria. No significant interactions were detected between country and these categories.
The association between albuminuria and reduced eGFR and all-cause mortality was similar in both countries, with albuminuria being associated with the larger effect size compared to lower eGFR.</description><subject>Adults</subject><subject>Albuminuria</subject><subject>Albuminuria - complications</subject><subject>Biology and Life Sciences</subject><subject>Cardiovascular disease</subject><subject>China</subject><subject>Chronic kidney failure</subject><subject>Complications and side effects</subject><subject>Cross-Sectional Studies</subject><subject>Demographic aspects</subject><subject>Diabetes</subject><subject>Epidemiology</subject><subject>Epidermal growth factor receptors</subject><subject>Etiology</subject><subject>Female</subject><subject>Glomerular Filtration Rate</subject><subject>Health aspects</subject><subject>Health care</subject><subject>Health risks</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Internal medicine</subject><subject>Kidney diseases</subject><subject>Kidneys</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Meta-analysis</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Nephrology</subject><subject>Nutrition</subject><subject>People and Places</subject><subject>Population</subject><subject>Preventive medicine</subject><subject>Prognosis</subject><subject>Proportional Hazards Models</subject><subject>Renal Insufficiency, Chronic - mortality</subject><subject>Renal Insufficiency, Chronic - physiopathology</subject><subject>Risk Factors</subject><subject>Systematic review</subject><subject>Trends</subject><subject>United States</subject><subject>Urban populations</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk9-LEzEQxxdRvLP6H4gGBNGH1myS3c36IJTij8LJgef5GmaTbJveNqlJVu1_b9ruHa3cg-QhQ_KZ72QmM1n2PMeTnFb5u5XrvYVusnFWT3Be04qyB9l5Msi4JJg-PLLPsichrDAuKC_Lx9kZqQtGOSnPs-1X5yN0Jm6RN-EGuRbJpXfWSHRjlNVbpEzQEPR7NEXSrTeQMGdRo-NvrS2KS41A9V1EG7fpO4jG2YCMRb1vwKLZ0lhAYNUevLYmaoWuIkQdnmaPWuiCfjbso-z608fvsy_ji8vP89n0YizLmsSxyhUH1RZSUcJUk_OcEdAUat6oSjcVg4KzWtaMqroEqKBpK-AME1qlguCajrKXB91N54IYqhYEwTljrMKYJ2J-IJSDldh4swa_FQ6M2B84vxDgo5GdFrTiXGKJFakbVkHJqWSc0bIuidIkJ0nrwxCtb9ZaSW2jh-5E9PTGmqVYuF-i4AUj1e65bwYB7372OkSxNkHqrgOrXX94d814wXFCX_2D3p_dQC0gJWBs61JcuRMV04LmOalI6otRNrmHSkvptZGpxVqTzk8c3p44JCbqP3EBfQhifvXt_9nLH6fs6yN2qaGLy-C6ft9YpyA7gNK7ELxu74qcY7GbkNtqiN2EiGFCktuL4w-6c7odCfoX0usLGg</recordid><startdate>20180315</startdate><enddate>20180315</enddate><creator>Wang, Jinwei</creator><creator>Wang, Fang</creator><creator>Saran, Rajiv</creator><creator>He, Zhi</creator><creator>Zhao, Ming-Hui</creator><creator>Li, Yi</creator><creator>Zhang, Luxia</creator><creator>Bragg-Gresham, Jennifer</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-0128-8408</orcidid></search><sort><creationdate>20180315</creationdate><title>Mortality risk of chronic kidney disease: A comparison between the adult populations in urban China and the United States</title><author>Wang, Jinwei ; Wang, Fang ; Saran, Rajiv ; He, Zhi ; Zhao, Ming-Hui ; Li, Yi ; Zhang, Luxia ; Bragg-Gresham, Jennifer</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-d1d8adf5cd324db18142ae3a98bd7eb74a5849c943d96aa7abf7a840237734093</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adults</topic><topic>Albuminuria</topic><topic>Albuminuria - complications</topic><topic>Biology and Life Sciences</topic><topic>Cardiovascular disease</topic><topic>China</topic><topic>Chronic kidney failure</topic><topic>Complications and side effects</topic><topic>Cross-Sectional Studies</topic><topic>Demographic aspects</topic><topic>Diabetes</topic><topic>Epidemiology</topic><topic>Epidermal growth factor receptors</topic><topic>Etiology</topic><topic>Female</topic><topic>Glomerular Filtration Rate</topic><topic>Health aspects</topic><topic>Health care</topic><topic>Health risks</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Internal medicine</topic><topic>Kidney diseases</topic><topic>Kidneys</topic><topic>Male</topic><topic>Medicine and Health Sciences</topic><topic>Meta-analysis</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Nephrology</topic><topic>Nutrition</topic><topic>People and Places</topic><topic>Population</topic><topic>Preventive medicine</topic><topic>Prognosis</topic><topic>Proportional Hazards Models</topic><topic>Renal Insufficiency, Chronic - mortality</topic><topic>Renal Insufficiency, Chronic - physiopathology</topic><topic>Risk Factors</topic><topic>Systematic review</topic><topic>Trends</topic><topic>United States</topic><topic>Urban populations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Jinwei</creatorcontrib><creatorcontrib>Wang, Fang</creatorcontrib><creatorcontrib>Saran, Rajiv</creatorcontrib><creatorcontrib>He, Zhi</creatorcontrib><creatorcontrib>Zhao, Ming-Hui</creatorcontrib><creatorcontrib>Li, Yi</creatorcontrib><creatorcontrib>Zhang, Luxia</creatorcontrib><creatorcontrib>Bragg-Gresham, Jennifer</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Opposing Viewpoints in Context (Gale)</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Jinwei</au><au>Wang, Fang</au><au>Saran, Rajiv</au><au>He, Zhi</au><au>Zhao, Ming-Hui</au><au>Li, Yi</au><au>Zhang, Luxia</au><au>Bragg-Gresham, Jennifer</au><au>Jia, Zhanjun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mortality risk of chronic kidney disease: A comparison between the adult populations in urban China and the United States</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2018-03-15</date><risdate>2018</risdate><volume>13</volume><issue>3</issue><spage>e0193734</spage><epage>e0193734</epage><pages>e0193734-e0193734</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Chronic kidney disease (CKD) is a risk factor for all-cause mortality in the United States, but the evidence from China is limited. We investigate whether prognosis of CKD (mortality) differs between the two countries. In particular, we sought to compare the strength of association between CKD stage and all-cause mortality, by country.
Mortality-linked data from China National Survey of Chronic Kidney Disease (urban population, n = 25,269) and US NHANES (2005-2010, n = 15,209) for adults >20 years old were analyzed. The Chinese cohort was followed until Dec 31, 2013, while the NHANES cohort until Dec 31, 2011. CKD was defined by eGFR <60ml/min/1.73m2 or albuminuria (defined as ACR ≥30mg/g). Weighted Cox models were used to evaluate the association between the two CKD indicators and mortality. Both stratified and combined models (with country interactions) were explored.
The Chinese sample had a lower proportion of eGFR<60 ml/min/1.73m2 (3.7% vs. 6.9%) and albuminuria (7.6% vs. 9.0%), compared to the US. Higher rates of mortality were observed with higher stages of CKD in both countries. HRs for mortality in the more advanced CKD categories reached 2.18 (1.14-4.15) in China and 1.66 (1.18-2.32) in the US in the absence of albuminuria, and 2.30 (1.13-4.68) and 3.04 (2.33-3.96) in the presence of albuminuria. No significant interactions were detected between country and these categories.
The association between albuminuria and reduced eGFR and all-cause mortality was similar in both countries, with albuminuria being associated with the larger effect size compared to lower eGFR.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29543826</pmid><doi>10.1371/journal.pone.0193734</doi><tpages>e0193734</tpages><orcidid>https://orcid.org/0000-0003-0128-8408</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adults Albuminuria Albuminuria - complications Biology and Life Sciences Cardiovascular disease China Chronic kidney failure Complications and side effects Cross-Sectional Studies Demographic aspects Diabetes Epidemiology Epidermal growth factor receptors Etiology Female Glomerular Filtration Rate Health aspects Health care Health risks Hospitals Humans Internal medicine Kidney diseases Kidneys Male Medicine and Health Sciences Meta-analysis Middle Aged Mortality Nephrology Nutrition People and Places Population Preventive medicine Prognosis Proportional Hazards Models Renal Insufficiency, Chronic - mortality Renal Insufficiency, Chronic - physiopathology Risk Factors Systematic review Trends United States Urban populations |
title | Mortality risk of chronic kidney disease: A comparison between the adult populations in urban China and the United States |
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