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Trajectories of Fasting Plasma Glucose and Risks of Chronic Kidney Disease in a General Chinese Population: A Retrospective Study
To investigate the association between longitudinal changing patterns of fasting plasma glucose (FPG), and kidney function change in the general population. We conducted a retrospective, longitudinal cohort study of a health examination center database in China. Subjects who had at least three visit...
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Published in: | International journal of general medicine 2023-12, Vol.16, p.5695-5702 |
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description | To investigate the association between longitudinal changing patterns of fasting plasma glucose (FPG), and kidney function change in the general population.
We conducted a retrospective, longitudinal cohort study of a health examination center database in China. Subjects who had at least three visits from 2011 to 2018 with baseline eGFR ≥60 mL/min/1.73 m
were enrolled. The FPG trajectories were identified by group-based trajectory modeling (GBTM). We examined the association of eGFR slopes and FPG trajectories by Cox analysis.
Totally, 8114 participants were identified. Three heterogeneous FBP trajectories were detected by GBTM as low-stable group (n=7294), moderate-stable group (n=657) and high-stable group (n=163). The high-stable group had lower baseline eGFR, a higher percentage of fast eGFR slope, lower HDL-c, higher LDL-c, higher cholesterol, and higher Lg(triglyceride). Cox analysis showed that the high-stable trajectory was a risk factor for fast eGFR decline (for eGFR slope |
doi_str_mv | 10.2147/IJGM.S435451 |
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fullrecord | <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_81851e75ee104461bebfb555c87c978f</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A780023785</galeid><doaj_id>oai_doaj_org_article_81851e75ee104461bebfb555c87c978f</doaj_id><sourcerecordid>A780023785</sourcerecordid><originalsourceid>FETCH-LOGICAL-c436t-ad2c91c034287017e4ae76b0c9c6fa3f1417fb284ef960cd69a6781fe1a8cdb3</originalsourceid><addsrcrecordid>eNptksFv0zAUxiMEYmNw44wsISEOtNiJYzu7oKqwUhhi2nq3HOe5dUnsYieTeuQ_x13L1ErIB1vPv_c9P78vy14TPM4J5R_n32Y_xne0KGlJnmTnhHAx4pjTp0fns-xFjGuMGWOkeJ6dFQJzTjk_z_4sglqD7n2wEJE36ErF3rolumlV7BSatYP2EZByDbq18dcDM10F76xG323jYIs-2wgqMdahlAAOgmoTYx2k4I3fDK3qrXeXaIJuoQ8-blJBew_orh-a7cvsmVFthFeH_SJbXH1ZTL-Orn_O5tPJ9UjTgvUj1eS6IhoXNBccEw5UAWc11pVmRhWGUMJNnQsKpmJYN6xSjAtigCihm7q4yOZ72cartdwE26mwlV5Z-RDwYSlV6K1uQQoiSgK8BCCYUkZqqE1dlqUWXFdcmKT1aa-1GeoOGg2uTy2fiJ7eOLuSS38vCeYEE0GSwvuDQvC_B4i97GzU0LbKgR-izCucV2VBcpbQt3t0qdLbrDM-SeodLidcYJwXXJSJGv-HSquBzmrvwNgUP0l4d5SwAtX2q-jbYTepeAp-2IM6TS4GMI99Eix3DpQ7B8qDAxP-5vhvHuF_liv-Amxp1d8</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2902953126</pqid></control><display><type>article</type><title>Trajectories of Fasting Plasma Glucose and Risks of Chronic Kidney Disease in a General Chinese Population: A Retrospective Study</title><source>Taylor & Francis_OA刊</source><source>Publicly Available Content Database</source><source>PubMed Central</source><creator>Liu, Jian ; Ma, Yuhua ; Yu, Geping ; Wang, Weiming</creator><creatorcontrib>Liu, Jian ; Ma, Yuhua ; Yu, Geping ; Wang, Weiming</creatorcontrib><description>To investigate the association between longitudinal changing patterns of fasting plasma glucose (FPG), and kidney function change in the general population.
We conducted a retrospective, longitudinal cohort study of a health examination center database in China. Subjects who had at least three visits from 2011 to 2018 with baseline eGFR ≥60 mL/min/1.73 m
were enrolled. The FPG trajectories were identified by group-based trajectory modeling (GBTM). We examined the association of eGFR slopes and FPG trajectories by Cox analysis.
Totally, 8114 participants were identified. Three heterogeneous FBP trajectories were detected by GBTM as low-stable group (n=7294), moderate-stable group (n=657) and high-stable group (n=163). The high-stable group had lower baseline eGFR, a higher percentage of fast eGFR slope, lower HDL-c, higher LDL-c, higher cholesterol, and higher Lg(triglyceride). Cox analysis showed that the high-stable trajectory was a risk factor for fast eGFR decline (for eGFR slope <-4 mL/min per 1.73 m
per year, adjusted HR [95% CI] 1.544 [0.876, 2.722]; for eGFR slope <-5 mL/min per 1.73 m
per year, adjusted HR [95% CI] 2.117[1.100, 4.075]). Further, we analyzed a subgroup in which participants' long-term FPG was normal. We divided this subgroup into four trajectories by GBTM, and Cox analysis showed that after adjustment for other potential confounding factors, the high-stable trajectory was an independent risk factor for fast eGFR slope (for eGFR slope <-4 mL/min per 1.73 m
per year, adjusted HR [95% CI] HR 1.640[1.050, 2.561]; for eGFR slope <-5 mL/min per 1.73 m
per year, adjusted HR [95% CI] 1.818[1.018, 3.248]) in subgroup.
We found that discrete FPG trajectories were significantly associated with risk of fast eGFR slope in individuals and those with long-term normal FPG. These observations suggest the importance of early prevention of CKD among individuals who are high-glycemic and normoglycemic.</description><identifier>ISSN: 1178-7074</identifier><identifier>EISSN: 1178-7074</identifier><identifier>DOI: 10.2147/IJGM.S435451</identifier><identifier>PMID: 38077477</identifier><language>eng</language><publisher>New Zealand: Dove Medical Press Limited</publisher><subject>chronic kidney disease ; Chronic kidney failure ; Dextrose ; fasting plasma glucose ; Glucose ; Low density lipoproteins ; Original Research ; Periodic health examinations ; Physical diagnosis ; Risk factors ; trajectory ; Type 2 diabetes</subject><ispartof>International journal of general medicine, 2023-12, Vol.16, p.5695-5702</ispartof><rights>2023 Liu et al.</rights><rights>COPYRIGHT 2023 Dove Medical Press Limited</rights><rights>2023 Liu et al. 2023 Liu et al.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c436t-ad2c91c034287017e4ae76b0c9c6fa3f1417fb284ef960cd69a6781fe1a8cdb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10710181/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10710181/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,37013,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38077477$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Jian</creatorcontrib><creatorcontrib>Ma, Yuhua</creatorcontrib><creatorcontrib>Yu, Geping</creatorcontrib><creatorcontrib>Wang, Weiming</creatorcontrib><title>Trajectories of Fasting Plasma Glucose and Risks of Chronic Kidney Disease in a General Chinese Population: A Retrospective Study</title><title>International journal of general medicine</title><addtitle>Int J Gen Med</addtitle><description>To investigate the association between longitudinal changing patterns of fasting plasma glucose (FPG), and kidney function change in the general population.
We conducted a retrospective, longitudinal cohort study of a health examination center database in China. Subjects who had at least three visits from 2011 to 2018 with baseline eGFR ≥60 mL/min/1.73 m
were enrolled. The FPG trajectories were identified by group-based trajectory modeling (GBTM). We examined the association of eGFR slopes and FPG trajectories by Cox analysis.
Totally, 8114 participants were identified. Three heterogeneous FBP trajectories were detected by GBTM as low-stable group (n=7294), moderate-stable group (n=657) and high-stable group (n=163). The high-stable group had lower baseline eGFR, a higher percentage of fast eGFR slope, lower HDL-c, higher LDL-c, higher cholesterol, and higher Lg(triglyceride). Cox analysis showed that the high-stable trajectory was a risk factor for fast eGFR decline (for eGFR slope <-4 mL/min per 1.73 m
per year, adjusted HR [95% CI] 1.544 [0.876, 2.722]; for eGFR slope <-5 mL/min per 1.73 m
per year, adjusted HR [95% CI] 2.117[1.100, 4.075]). Further, we analyzed a subgroup in which participants' long-term FPG was normal. We divided this subgroup into four trajectories by GBTM, and Cox analysis showed that after adjustment for other potential confounding factors, the high-stable trajectory was an independent risk factor for fast eGFR slope (for eGFR slope <-4 mL/min per 1.73 m
per year, adjusted HR [95% CI] HR 1.640[1.050, 2.561]; for eGFR slope <-5 mL/min per 1.73 m
per year, adjusted HR [95% CI] 1.818[1.018, 3.248]) in subgroup.
We found that discrete FPG trajectories were significantly associated with risk of fast eGFR slope in individuals and those with long-term normal FPG. These observations suggest the importance of early prevention of CKD among individuals who are high-glycemic and normoglycemic.</description><subject>chronic kidney disease</subject><subject>Chronic kidney failure</subject><subject>Dextrose</subject><subject>fasting plasma glucose</subject><subject>Glucose</subject><subject>Low density lipoproteins</subject><subject>Original Research</subject><subject>Periodic health examinations</subject><subject>Physical diagnosis</subject><subject>Risk factors</subject><subject>trajectory</subject><subject>Type 2 diabetes</subject><issn>1178-7074</issn><issn>1178-7074</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNptksFv0zAUxiMEYmNw44wsISEOtNiJYzu7oKqwUhhi2nq3HOe5dUnsYieTeuQ_x13L1ErIB1vPv_c9P78vy14TPM4J5R_n32Y_xne0KGlJnmTnhHAx4pjTp0fns-xFjGuMGWOkeJ6dFQJzTjk_z_4sglqD7n2wEJE36ErF3rolumlV7BSatYP2EZByDbq18dcDM10F76xG323jYIs-2wgqMdahlAAOgmoTYx2k4I3fDK3qrXeXaIJuoQ8-blJBew_orh-a7cvsmVFthFeH_SJbXH1ZTL-Orn_O5tPJ9UjTgvUj1eS6IhoXNBccEw5UAWc11pVmRhWGUMJNnQsKpmJYN6xSjAtigCihm7q4yOZ72cartdwE26mwlV5Z-RDwYSlV6K1uQQoiSgK8BCCYUkZqqE1dlqUWXFdcmKT1aa-1GeoOGg2uTy2fiJ7eOLuSS38vCeYEE0GSwvuDQvC_B4i97GzU0LbKgR-izCucV2VBcpbQt3t0qdLbrDM-SeodLidcYJwXXJSJGv-HSquBzmrvwNgUP0l4d5SwAtX2q-jbYTepeAp-2IM6TS4GMI99Eix3DpQ7B8qDAxP-5vhvHuF_liv-Amxp1d8</recordid><startdate>20231231</startdate><enddate>20231231</enddate><creator>Liu, Jian</creator><creator>Ma, Yuhua</creator><creator>Yu, Geping</creator><creator>Wang, Weiming</creator><general>Dove Medical Press Limited</general><general>Dove</general><general>Dove Medical Press</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20231231</creationdate><title>Trajectories of Fasting Plasma Glucose and Risks of Chronic Kidney Disease in a General Chinese Population: A Retrospective Study</title><author>Liu, Jian ; Ma, Yuhua ; Yu, Geping ; Wang, Weiming</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c436t-ad2c91c034287017e4ae76b0c9c6fa3f1417fb284ef960cd69a6781fe1a8cdb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>chronic kidney disease</topic><topic>Chronic kidney failure</topic><topic>Dextrose</topic><topic>fasting plasma glucose</topic><topic>Glucose</topic><topic>Low density lipoproteins</topic><topic>Original Research</topic><topic>Periodic health examinations</topic><topic>Physical diagnosis</topic><topic>Risk factors</topic><topic>trajectory</topic><topic>Type 2 diabetes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Jian</creatorcontrib><creatorcontrib>Ma, Yuhua</creatorcontrib><creatorcontrib>Yu, Geping</creatorcontrib><creatorcontrib>Wang, Weiming</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>International journal of general medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Jian</au><au>Ma, Yuhua</au><au>Yu, Geping</au><au>Wang, Weiming</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Trajectories of Fasting Plasma Glucose and Risks of Chronic Kidney Disease in a General Chinese Population: A Retrospective Study</atitle><jtitle>International journal of general medicine</jtitle><addtitle>Int J Gen Med</addtitle><date>2023-12-31</date><risdate>2023</risdate><volume>16</volume><spage>5695</spage><epage>5702</epage><pages>5695-5702</pages><issn>1178-7074</issn><eissn>1178-7074</eissn><abstract>To investigate the association between longitudinal changing patterns of fasting plasma glucose (FPG), and kidney function change in the general population.
We conducted a retrospective, longitudinal cohort study of a health examination center database in China. Subjects who had at least three visits from 2011 to 2018 with baseline eGFR ≥60 mL/min/1.73 m
were enrolled. The FPG trajectories were identified by group-based trajectory modeling (GBTM). We examined the association of eGFR slopes and FPG trajectories by Cox analysis.
Totally, 8114 participants were identified. Three heterogeneous FBP trajectories were detected by GBTM as low-stable group (n=7294), moderate-stable group (n=657) and high-stable group (n=163). The high-stable group had lower baseline eGFR, a higher percentage of fast eGFR slope, lower HDL-c, higher LDL-c, higher cholesterol, and higher Lg(triglyceride). Cox analysis showed that the high-stable trajectory was a risk factor for fast eGFR decline (for eGFR slope <-4 mL/min per 1.73 m
per year, adjusted HR [95% CI] 1.544 [0.876, 2.722]; for eGFR slope <-5 mL/min per 1.73 m
per year, adjusted HR [95% CI] 2.117[1.100, 4.075]). Further, we analyzed a subgroup in which participants' long-term FPG was normal. We divided this subgroup into four trajectories by GBTM, and Cox analysis showed that after adjustment for other potential confounding factors, the high-stable trajectory was an independent risk factor for fast eGFR slope (for eGFR slope <-4 mL/min per 1.73 m
per year, adjusted HR [95% CI] HR 1.640[1.050, 2.561]; for eGFR slope <-5 mL/min per 1.73 m
per year, adjusted HR [95% CI] 1.818[1.018, 3.248]) in subgroup.
We found that discrete FPG trajectories were significantly associated with risk of fast eGFR slope in individuals and those with long-term normal FPG. These observations suggest the importance of early prevention of CKD among individuals who are high-glycemic and normoglycemic.</abstract><cop>New Zealand</cop><pub>Dove Medical Press Limited</pub><pmid>38077477</pmid><doi>10.2147/IJGM.S435451</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | chronic kidney disease Chronic kidney failure Dextrose fasting plasma glucose Glucose Low density lipoproteins Original Research Periodic health examinations Physical diagnosis Risk factors trajectory Type 2 diabetes |
title | Trajectories of Fasting Plasma Glucose and Risks of Chronic Kidney Disease in a General Chinese Population: A Retrospective Study |
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