Comparison of cystatin C- and creatinine-based estimated glomerular filtration rates for predicting all-cause mortality in Japanese patients with type 2 diabetes: the Fukuoka Diabetes Registry
Background There is little information about the predictive ability of cystatin C-based estimated glomerular filtration rates (eGFR Cys ) for all-cause mortality in Asian populations. We compared the discriminatory ability of eGFR Cys for all-cause mortality with that of creatinine-based estimated g...
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Veröffentlicht in: | Clinical and experimental nephrology 2017-06, Vol.21 (3), p.383-390 |
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creator | Ide, Hitoshi Iwase, Masanori Fujii, Hiroki Ohkuma, Toshiaki Kaizu, Shinako Jodai, Tamaki Kikuchi, Yohei Idewaki, Yasuhiro Sumi, Akiko Nakamura, Udai Kitazono, Takanari |
description | Background
There is little information about the predictive ability of cystatin C-based estimated glomerular filtration rates (eGFR
Cys
) for all-cause mortality in Asian populations. We compared the discriminatory ability of eGFR
Cys
for all-cause mortality with that of creatinine-based estimated glomerular filtration rates (eGFR
Cr
) in Japanese patients with type 2 diabetes.
Methods
A total of 4869 participants were classified into four categories (eGFR ≤29, 30–59, 60–89, and ≥90 ml/min/1.73 m
2
) by eGFR
Cr
and eGFR
Cys
, and followed up for a median of 3.3 years.
Results
150 deaths were identified. The multivariable-adjusted risk of all-cause mortality was significantly increased in eGFR
Cr
≤29 ml/min/1.73 m
2
compared with eGFR
Cr
≥90 ml/min/1.73 m
2
[hazard ratio (HR) 2.4 (95 % confidence interval (95 % CI) 1.2–5.0)], whereas it was significantly increased in eGFR
Cys
59 ml/min/1.73 m
2
or lower [30–59 ml/min/1.73 m
2
, HR 1.9 (95 % CI 1.1–3.5); ≤29 ml/min/1.73 m
2
, HR 5.8 (95 % CI 2.8–12.0)]. Comparing eGFR
Cys
with eGFR
Cr
, the proportions of participants reclassified to lower and higher eGFR stages were 6.3 and 28.8 %, respectively. The multivariable-adjusted HRs for all-cause mortality were 1.8 (95 % CI 1.1–2.9) and 0.7 (95 % CI 0.4–1.1), respectively. The C statistic of the model including eGFR
Cys
and other risk factors was significantly increased compared with the model including eGFR
Cr
. The net reclassification improvement and the integrated discrimination improvement were significantly positive.
Conclusions
Our findings suggest that eGFR
Cys
has a stronger association with all-cause mortality and is superior to eGFR
Cr
for predicting all-cause mortality in Japanese patients with type 2 diabetes. |
doi_str_mv | 10.1007/s10157-016-1296-2 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1826703107</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1826703107</sourcerecordid><originalsourceid>FETCH-LOGICAL-c578t-9a08514e9f85204e3fb9d7039f789b99951cdfc069da1ca323547b0e9fbc28963</originalsourceid><addsrcrecordid>eNp1kV2L1TAQhoso7of-AG9kwBtvokn6kcY7ObqrsiCIXoc0nZ7NbtvUJEX67_xpzuEcRQSvZjJ55p1k3qJ4Jvgrwbl6nQQXtWJcNExI3TD5oDgXVamYUlo_pLysJBOqFmfFRUp3nPNW1_pxcSZVWeqq0ufFz12YFht9CjOEAdyWss1-hh0DO_fgIh6OfkbW2YQ9YMp-spmy_RgmjOtoIwx-zJE40qCACYYQYYnYe0fNe7DjyJxdE8IUYrajzxvQjE92sTNSdaFenHOCHz7fQt4WBAm9tx2S2BvItwhX6_0a7i28O1XhC-59ynF7Ujwa7Jjw6SleFt-u3n_dfWA3n68_7t7eMFerNjNteVuLCvXQ1pJXWA6d7hUv9aBa3Wmta-H6wfFG91Y4W8qyrlTHie-cbHVTXhYvj7pLDN9XWoOZfHI4jvSFsCYjWtmQnuCK0Bf_oHdhjTO9zgjNlSJUtESJI-ViSCniYJZIq42bEdwc7DVHew3Zaw72Gkk9z0_Kazdh_6fjt58EyCOQ6GreY_xr9H9VfwE8aLN8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1907718218</pqid></control><display><type>article</type><title>Comparison of cystatin C- and creatinine-based estimated glomerular filtration rates for predicting all-cause mortality in Japanese patients with type 2 diabetes: the Fukuoka Diabetes Registry</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Ide, Hitoshi ; Iwase, Masanori ; Fujii, Hiroki ; Ohkuma, Toshiaki ; Kaizu, Shinako ; Jodai, Tamaki ; Kikuchi, Yohei ; Idewaki, Yasuhiro ; Sumi, Akiko ; Nakamura, Udai ; Kitazono, Takanari</creator><creatorcontrib>Ide, Hitoshi ; Iwase, Masanori ; Fujii, Hiroki ; Ohkuma, Toshiaki ; Kaizu, Shinako ; Jodai, Tamaki ; Kikuchi, Yohei ; Idewaki, Yasuhiro ; Sumi, Akiko ; Nakamura, Udai ; Kitazono, Takanari</creatorcontrib><description>Background
There is little information about the predictive ability of cystatin C-based estimated glomerular filtration rates (eGFR
Cys
) for all-cause mortality in Asian populations. We compared the discriminatory ability of eGFR
Cys
for all-cause mortality with that of creatinine-based estimated glomerular filtration rates (eGFR
Cr
) in Japanese patients with type 2 diabetes.
Methods
A total of 4869 participants were classified into four categories (eGFR ≤29, 30–59, 60–89, and ≥90 ml/min/1.73 m
2
) by eGFR
Cr
and eGFR
Cys
, and followed up for a median of 3.3 years.
Results
150 deaths were identified. The multivariable-adjusted risk of all-cause mortality was significantly increased in eGFR
Cr
≤29 ml/min/1.73 m
2
compared with eGFR
Cr
≥90 ml/min/1.73 m
2
[hazard ratio (HR) 2.4 (95 % confidence interval (95 % CI) 1.2–5.0)], whereas it was significantly increased in eGFR
Cys
59 ml/min/1.73 m
2
or lower [30–59 ml/min/1.73 m
2
, HR 1.9 (95 % CI 1.1–3.5); ≤29 ml/min/1.73 m
2
, HR 5.8 (95 % CI 2.8–12.0)]. Comparing eGFR
Cys
with eGFR
Cr
, the proportions of participants reclassified to lower and higher eGFR stages were 6.3 and 28.8 %, respectively. The multivariable-adjusted HRs for all-cause mortality were 1.8 (95 % CI 1.1–2.9) and 0.7 (95 % CI 0.4–1.1), respectively. The C statistic of the model including eGFR
Cys
and other risk factors was significantly increased compared with the model including eGFR
Cr
. The net reclassification improvement and the integrated discrimination improvement were significantly positive.
Conclusions
Our findings suggest that eGFR
Cys
has a stronger association with all-cause mortality and is superior to eGFR
Cr
for predicting all-cause mortality in Japanese patients with type 2 diabetes.</description><identifier>ISSN: 1342-1751</identifier><identifier>EISSN: 1437-7799</identifier><identifier>DOI: 10.1007/s10157-016-1296-2</identifier><identifier>PMID: 27339449</identifier><language>eng</language><publisher>Tokyo: Springer Japan</publisher><subject>Aged ; Asian Continental Ancestry Group ; Beta blockers ; Biomarkers - blood ; Cause of Death ; Chi-Square Distribution ; Creatinine ; Creatinine - blood ; Cystatin C ; Cystatin C - blood ; Diabetes ; Diabetes mellitus ; Diabetes Mellitus, Type 2 - diagnosis ; Diabetes Mellitus, Type 2 - ethnology ; Diabetes Mellitus, Type 2 - mortality ; Diabetic Nephropathies - diagnosis ; Diabetic Nephropathies - ethnology ; Diabetic Nephropathies - mortality ; Diabetic Nephropathies - physiopathology ; Epidermal growth factor receptors ; Female ; Glomerular Filtration Rate ; Health risk assessment ; Humans ; Japan - epidemiology ; Kidney - physiopathology ; Linear Models ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Models, Biological ; Mortality ; Multivariate Analysis ; Nephrology ; Original Article ; Predictive Value of Tests ; Prognosis ; Proportional Hazards Models ; Prospective Studies ; Reclassification ; Registries ; Risk Factors ; Time Factors ; Urology</subject><ispartof>Clinical and experimental nephrology, 2017-06, Vol.21 (3), p.383-390</ispartof><rights>Japanese Society of Nephrology 2016</rights><rights>Clinical and Experimental Nephrology is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c578t-9a08514e9f85204e3fb9d7039f789b99951cdfc069da1ca323547b0e9fbc28963</citedby><cites>FETCH-LOGICAL-c578t-9a08514e9f85204e3fb9d7039f789b99951cdfc069da1ca323547b0e9fbc28963</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10157-016-1296-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10157-016-1296-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27339449$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ide, Hitoshi</creatorcontrib><creatorcontrib>Iwase, Masanori</creatorcontrib><creatorcontrib>Fujii, Hiroki</creatorcontrib><creatorcontrib>Ohkuma, Toshiaki</creatorcontrib><creatorcontrib>Kaizu, Shinako</creatorcontrib><creatorcontrib>Jodai, Tamaki</creatorcontrib><creatorcontrib>Kikuchi, Yohei</creatorcontrib><creatorcontrib>Idewaki, Yasuhiro</creatorcontrib><creatorcontrib>Sumi, Akiko</creatorcontrib><creatorcontrib>Nakamura, Udai</creatorcontrib><creatorcontrib>Kitazono, Takanari</creatorcontrib><title>Comparison of cystatin C- and creatinine-based estimated glomerular filtration rates for predicting all-cause mortality in Japanese patients with type 2 diabetes: the Fukuoka Diabetes Registry</title><title>Clinical and experimental nephrology</title><addtitle>Clin Exp Nephrol</addtitle><addtitle>Clin Exp Nephrol</addtitle><description>Background
There is little information about the predictive ability of cystatin C-based estimated glomerular filtration rates (eGFR
Cys
) for all-cause mortality in Asian populations. We compared the discriminatory ability of eGFR
Cys
for all-cause mortality with that of creatinine-based estimated glomerular filtration rates (eGFR
Cr
) in Japanese patients with type 2 diabetes.
Methods
A total of 4869 participants were classified into four categories (eGFR ≤29, 30–59, 60–89, and ≥90 ml/min/1.73 m
2
) by eGFR
Cr
and eGFR
Cys
, and followed up for a median of 3.3 years.
Results
150 deaths were identified. The multivariable-adjusted risk of all-cause mortality was significantly increased in eGFR
Cr
≤29 ml/min/1.73 m
2
compared with eGFR
Cr
≥90 ml/min/1.73 m
2
[hazard ratio (HR) 2.4 (95 % confidence interval (95 % CI) 1.2–5.0)], whereas it was significantly increased in eGFR
Cys
59 ml/min/1.73 m
2
or lower [30–59 ml/min/1.73 m
2
, HR 1.9 (95 % CI 1.1–3.5); ≤29 ml/min/1.73 m
2
, HR 5.8 (95 % CI 2.8–12.0)]. Comparing eGFR
Cys
with eGFR
Cr
, the proportions of participants reclassified to lower and higher eGFR stages were 6.3 and 28.8 %, respectively. The multivariable-adjusted HRs for all-cause mortality were 1.8 (95 % CI 1.1–2.9) and 0.7 (95 % CI 0.4–1.1), respectively. The C statistic of the model including eGFR
Cys
and other risk factors was significantly increased compared with the model including eGFR
Cr
. The net reclassification improvement and the integrated discrimination improvement were significantly positive.
Conclusions
Our findings suggest that eGFR
Cys
has a stronger association with all-cause mortality and is superior to eGFR
Cr
for predicting all-cause mortality in Japanese patients with type 2 diabetes.</description><subject>Aged</subject><subject>Asian Continental Ancestry Group</subject><subject>Beta blockers</subject><subject>Biomarkers - blood</subject><subject>Cause of Death</subject><subject>Chi-Square Distribution</subject><subject>Creatinine</subject><subject>Creatinine - blood</subject><subject>Cystatin C</subject><subject>Cystatin C - blood</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus, Type 2 - diagnosis</subject><subject>Diabetes Mellitus, Type 2 - ethnology</subject><subject>Diabetes Mellitus, Type 2 - mortality</subject><subject>Diabetic Nephropathies - diagnosis</subject><subject>Diabetic Nephropathies - ethnology</subject><subject>Diabetic Nephropathies - mortality</subject><subject>Diabetic Nephropathies - physiopathology</subject><subject>Epidermal growth factor receptors</subject><subject>Female</subject><subject>Glomerular Filtration Rate</subject><subject>Health risk assessment</subject><subject>Humans</subject><subject>Japan - epidemiology</subject><subject>Kidney - physiopathology</subject><subject>Linear Models</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Models, Biological</subject><subject>Mortality</subject><subject>Multivariate Analysis</subject><subject>Nephrology</subject><subject>Original Article</subject><subject>Predictive Value of Tests</subject><subject>Prognosis</subject><subject>Proportional Hazards Models</subject><subject>Prospective Studies</subject><subject>Reclassification</subject><subject>Registries</subject><subject>Risk Factors</subject><subject>Time Factors</subject><subject>Urology</subject><issn>1342-1751</issn><issn>1437-7799</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp1kV2L1TAQhoso7of-AG9kwBtvokn6kcY7ObqrsiCIXoc0nZ7NbtvUJEX67_xpzuEcRQSvZjJ55p1k3qJ4Jvgrwbl6nQQXtWJcNExI3TD5oDgXVamYUlo_pLysJBOqFmfFRUp3nPNW1_pxcSZVWeqq0ufFz12YFht9CjOEAdyWss1-hh0DO_fgIh6OfkbW2YQ9YMp-spmy_RgmjOtoIwx-zJE40qCACYYQYYnYe0fNe7DjyJxdE8IUYrajzxvQjE92sTNSdaFenHOCHz7fQt4WBAm9tx2S2BvItwhX6_0a7i28O1XhC-59ynF7Ujwa7Jjw6SleFt-u3n_dfWA3n68_7t7eMFerNjNteVuLCvXQ1pJXWA6d7hUv9aBa3Wmta-H6wfFG91Y4W8qyrlTHie-cbHVTXhYvj7pLDN9XWoOZfHI4jvSFsCYjWtmQnuCK0Bf_oHdhjTO9zgjNlSJUtESJI-ViSCniYJZIq42bEdwc7DVHew3Zaw72Gkk9z0_Kazdh_6fjt58EyCOQ6GreY_xr9H9VfwE8aLN8</recordid><startdate>20170601</startdate><enddate>20170601</enddate><creator>Ide, Hitoshi</creator><creator>Iwase, Masanori</creator><creator>Fujii, Hiroki</creator><creator>Ohkuma, Toshiaki</creator><creator>Kaizu, Shinako</creator><creator>Jodai, Tamaki</creator><creator>Kikuchi, Yohei</creator><creator>Idewaki, Yasuhiro</creator><creator>Sumi, Akiko</creator><creator>Nakamura, Udai</creator><creator>Kitazono, Takanari</creator><general>Springer Japan</general><general>Springer Nature B.V</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>3V.</scope><scope>7QP</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20170601</creationdate><title>Comparison of cystatin C- and creatinine-based estimated glomerular filtration rates for predicting all-cause mortality in Japanese patients with type 2 diabetes: the Fukuoka Diabetes Registry</title><author>Ide, Hitoshi ; Iwase, Masanori ; Fujii, Hiroki ; Ohkuma, Toshiaki ; Kaizu, Shinako ; Jodai, Tamaki ; Kikuchi, Yohei ; Idewaki, Yasuhiro ; Sumi, Akiko ; Nakamura, Udai ; Kitazono, Takanari</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c578t-9a08514e9f85204e3fb9d7039f789b99951cdfc069da1ca323547b0e9fbc28963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Aged</topic><topic>Asian Continental Ancestry Group</topic><topic>Beta blockers</topic><topic>Biomarkers - blood</topic><topic>Cause of Death</topic><topic>Chi-Square Distribution</topic><topic>Creatinine</topic><topic>Creatinine - blood</topic><topic>Cystatin C</topic><topic>Cystatin C - blood</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes Mellitus, Type 2 - diagnosis</topic><topic>Diabetes Mellitus, Type 2 - ethnology</topic><topic>Diabetes Mellitus, Type 2 - mortality</topic><topic>Diabetic Nephropathies - diagnosis</topic><topic>Diabetic Nephropathies - ethnology</topic><topic>Diabetic Nephropathies - mortality</topic><topic>Diabetic Nephropathies - physiopathology</topic><topic>Epidermal growth factor receptors</topic><topic>Female</topic><topic>Glomerular Filtration Rate</topic><topic>Health risk assessment</topic><topic>Humans</topic><topic>Japan - epidemiology</topic><topic>Kidney - physiopathology</topic><topic>Linear Models</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Models, Biological</topic><topic>Mortality</topic><topic>Multivariate Analysis</topic><topic>Nephrology</topic><topic>Original Article</topic><topic>Predictive Value of Tests</topic><topic>Prognosis</topic><topic>Proportional Hazards Models</topic><topic>Prospective Studies</topic><topic>Reclassification</topic><topic>Registries</topic><topic>Risk Factors</topic><topic>Time Factors</topic><topic>Urology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ide, Hitoshi</creatorcontrib><creatorcontrib>Iwase, Masanori</creatorcontrib><creatorcontrib>Fujii, Hiroki</creatorcontrib><creatorcontrib>Ohkuma, Toshiaki</creatorcontrib><creatorcontrib>Kaizu, Shinako</creatorcontrib><creatorcontrib>Jodai, Tamaki</creatorcontrib><creatorcontrib>Kikuchi, Yohei</creatorcontrib><creatorcontrib>Idewaki, Yasuhiro</creatorcontrib><creatorcontrib>Sumi, Akiko</creatorcontrib><creatorcontrib>Nakamura, Udai</creatorcontrib><creatorcontrib>Kitazono, Takanari</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</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>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical and experimental nephrology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ide, Hitoshi</au><au>Iwase, Masanori</au><au>Fujii, Hiroki</au><au>Ohkuma, Toshiaki</au><au>Kaizu, Shinako</au><au>Jodai, Tamaki</au><au>Kikuchi, Yohei</au><au>Idewaki, Yasuhiro</au><au>Sumi, Akiko</au><au>Nakamura, Udai</au><au>Kitazono, Takanari</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of cystatin C- and creatinine-based estimated glomerular filtration rates for predicting all-cause mortality in Japanese patients with type 2 diabetes: the Fukuoka Diabetes Registry</atitle><jtitle>Clinical and experimental nephrology</jtitle><stitle>Clin Exp Nephrol</stitle><addtitle>Clin Exp Nephrol</addtitle><date>2017-06-01</date><risdate>2017</risdate><volume>21</volume><issue>3</issue><spage>383</spage><epage>390</epage><pages>383-390</pages><issn>1342-1751</issn><eissn>1437-7799</eissn><abstract>Background
There is little information about the predictive ability of cystatin C-based estimated glomerular filtration rates (eGFR
Cys
) for all-cause mortality in Asian populations. We compared the discriminatory ability of eGFR
Cys
for all-cause mortality with that of creatinine-based estimated glomerular filtration rates (eGFR
Cr
) in Japanese patients with type 2 diabetes.
Methods
A total of 4869 participants were classified into four categories (eGFR ≤29, 30–59, 60–89, and ≥90 ml/min/1.73 m
2
) by eGFR
Cr
and eGFR
Cys
, and followed up for a median of 3.3 years.
Results
150 deaths were identified. The multivariable-adjusted risk of all-cause mortality was significantly increased in eGFR
Cr
≤29 ml/min/1.73 m
2
compared with eGFR
Cr
≥90 ml/min/1.73 m
2
[hazard ratio (HR) 2.4 (95 % confidence interval (95 % CI) 1.2–5.0)], whereas it was significantly increased in eGFR
Cys
59 ml/min/1.73 m
2
or lower [30–59 ml/min/1.73 m
2
, HR 1.9 (95 % CI 1.1–3.5); ≤29 ml/min/1.73 m
2
, HR 5.8 (95 % CI 2.8–12.0)]. Comparing eGFR
Cys
with eGFR
Cr
, the proportions of participants reclassified to lower and higher eGFR stages were 6.3 and 28.8 %, respectively. The multivariable-adjusted HRs for all-cause mortality were 1.8 (95 % CI 1.1–2.9) and 0.7 (95 % CI 0.4–1.1), respectively. The C statistic of the model including eGFR
Cys
and other risk factors was significantly increased compared with the model including eGFR
Cr
. The net reclassification improvement and the integrated discrimination improvement were significantly positive.
Conclusions
Our findings suggest that eGFR
Cys
has a stronger association with all-cause mortality and is superior to eGFR
Cr
for predicting all-cause mortality in Japanese patients with type 2 diabetes.</abstract><cop>Tokyo</cop><pub>Springer Japan</pub><pmid>27339449</pmid><doi>10.1007/s10157-016-1296-2</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
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ispartof | Clinical and experimental nephrology, 2017-06, Vol.21 (3), p.383-390 |
issn | 1342-1751 1437-7799 |
language | eng |
recordid | cdi_proquest_miscellaneous_1826703107 |
source | MEDLINE; SpringerLink Journals - AutoHoldings |
subjects | Aged Asian Continental Ancestry Group Beta blockers Biomarkers - blood Cause of Death Chi-Square Distribution Creatinine Creatinine - blood Cystatin C Cystatin C - blood Diabetes Diabetes mellitus Diabetes Mellitus, Type 2 - diagnosis Diabetes Mellitus, Type 2 - ethnology Diabetes Mellitus, Type 2 - mortality Diabetic Nephropathies - diagnosis Diabetic Nephropathies - ethnology Diabetic Nephropathies - mortality Diabetic Nephropathies - physiopathology Epidermal growth factor receptors Female Glomerular Filtration Rate Health risk assessment Humans Japan - epidemiology Kidney - physiopathology Linear Models Male Medicine Medicine & Public Health Middle Aged Models, Biological Mortality Multivariate Analysis Nephrology Original Article Predictive Value of Tests Prognosis Proportional Hazards Models Prospective Studies Reclassification Registries Risk Factors Time Factors Urology |
title | Comparison of cystatin C- and creatinine-based estimated glomerular filtration rates for predicting all-cause mortality in Japanese patients with type 2 diabetes: the Fukuoka Diabetes Registry |
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