Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:International journal of general medicine 2023-12, Vol.16, p.5695-5702
Main Authors: Liu, Jian, Ma, Yuhua, Yu, Geping, Wang, Weiming
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c436t-ad2c91c034287017e4ae76b0c9c6fa3f1417fb284ef960cd69a6781fe1a8cdb3
container_end_page 5702
container_issue
container_start_page 5695
container_title International journal of general medicine
container_volume 16
creator Liu, Jian
Ma, Yuhua
Yu, Geping
Wang, Weiming
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
format article
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 &amp; 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 &lt;-4 mL/min per 1.73 m per year, adjusted HR [95% CI] 1.544 [0.876, 2.722]; for eGFR slope &lt;-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 &lt;-4 mL/min per 1.73 m per year, adjusted HR [95% CI] HR 1.640[1.050, 2.561]; for eGFR slope &lt;-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 &lt;-4 mL/min per 1.73 m per year, adjusted HR [95% CI] 1.544 [0.876, 2.722]; for eGFR slope &lt;-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 &lt;-4 mL/min per 1.73 m per year, adjusted HR [95% CI] HR 1.640[1.050, 2.561]; for eGFR slope &lt;-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 &lt;-4 mL/min per 1.73 m per year, adjusted HR [95% CI] 1.544 [0.876, 2.722]; for eGFR slope &lt;-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 &lt;-4 mL/min per 1.73 m per year, adjusted HR [95% CI] HR 1.640[1.050, 2.561]; for eGFR slope &lt;-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>
fulltext fulltext
identifier ISSN: 1178-7074
ispartof International journal of general medicine, 2023-12, Vol.16, p.5695-5702
issn 1178-7074
1178-7074
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_81851e75ee104461bebfb555c87c978f
source Taylor & Francis_OA刊; Publicly Available Content Database; PubMed Central
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T06%3A08%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Trajectories%20of%20Fasting%20Plasma%20Glucose%20and%20Risks%20of%20Chronic%20Kidney%20Disease%20in%20a%20General%20Chinese%20Population:%20A%20Retrospective%20Study&rft.jtitle=International%20journal%20of%20general%20medicine&rft.au=Liu,%20Jian&rft.date=2023-12-31&rft.volume=16&rft.spage=5695&rft.epage=5702&rft.pages=5695-5702&rft.issn=1178-7074&rft.eissn=1178-7074&rft_id=info:doi/10.2147/IJGM.S435451&rft_dat=%3Cgale_doaj_%3EA780023785%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c436t-ad2c91c034287017e4ae76b0c9c6fa3f1417fb284ef960cd69a6781fe1a8cdb3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2902953126&rft_id=info:pmid/38077477&rft_galeid=A780023785&rfr_iscdi=true