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Predictive Capabilities of Three Widely Used Pathology Classification Systems and a Simplified Classification (Beijing Classification) in Primary IgA Nephropathy
Abstract Background/Aims: Several pathological classification systems were commonly used in clinical practice to predict the prognosis of IgA nephropathy (IgAN). However, how prognostic value differs between these systems is unclear. The aim of this study was to compare the Lee grade, the Oxford cla...
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Published in: | Kidney & blood pressure research 2019-10, Vol.44 (5), p.928-941 |
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description | Abstract
Background/Aims: Several pathological classification systems were commonly used in clinical practice to predict the prognosis of IgA nephropathy (IgAN). However, how prognostic value differs between these systems is unclear. The aim of this study was to compare the Lee grade, the Oxford classification, and the Haas classification and to find a simplified classification. Methods: We retrospectively analyzed IgAN cases diagnosed between January 2002 and December 2007. The endpoints were progression to end-stage renal disease (ESRD) or a ≥50% decline in estimated glomerular filtration rate (eGFR). The predictive capabilities were evaluated by comparing the ability of discrimination (continuous net reclassification) and calibration (Akaike information criterion [AIC]). Results: A total of 412 IgAN patients were included in the study. The average follow-up period was 80.62 ± 23.63 months. A total of 44 (10.68%) patients progressed to ESRD, and 70 (16.99%) patients showed a ≥50% decline in eGFR. All multivariate Cox regression models had limited power for high AIC values. The prognostic values of the Lee grade and the Oxford classification were higher than those of models containing only established baseline clinical indicators for progression to ESRD or a ≥50% decline in eGFR (Lee grade 0.50, 95% CI 0.21–0.74; Oxford classification 0.48, 95% CI 0.28–0.71). The prognostic value of the Haas classification was lower than that of the other pathological classification systems for progression to ESRD or a ≥50% decline in eGFR (Lee grade 0.53, 95% CI 0.23–0.92; Oxford classification 0.59, 95% CI 0.10–0.74). The prognostic value of hierarchical classification (Beijing classification) using M and T lesion was similar to the Oxford classification. Conclusions: Both the Lee grade and the Oxford classification showed incremental prognostic values beyond established baseline clinical indicators. The Haas classification was slightly inferior to the Lee grade and the Oxford classification. The hierarchical classification (Beijing classification) using less pathological parameters does not lose predictive efficiency. |
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Background/Aims: Several pathological classification systems were commonly used in clinical practice to predict the prognosis of IgA nephropathy (IgAN). However, how prognostic value differs between these systems is unclear. The aim of this study was to compare the Lee grade, the Oxford classification, and the Haas classification and to find a simplified classification. Methods: We retrospectively analyzed IgAN cases diagnosed between January 2002 and December 2007. The endpoints were progression to end-stage renal disease (ESRD) or a ≥50% decline in estimated glomerular filtration rate (eGFR). The predictive capabilities were evaluated by comparing the ability of discrimination (continuous net reclassification) and calibration (Akaike information criterion [AIC]). Results: A total of 412 IgAN patients were included in the study. The average follow-up period was 80.62 ± 23.63 months. A total of 44 (10.68%) patients progressed to ESRD, and 70 (16.99%) patients showed a ≥50% decline in eGFR. All multivariate Cox regression models had limited power for high AIC values. The prognostic values of the Lee grade and the Oxford classification were higher than those of models containing only established baseline clinical indicators for progression to ESRD or a ≥50% decline in eGFR (Lee grade 0.50, 95% CI 0.21–0.74; Oxford classification 0.48, 95% CI 0.28–0.71). The prognostic value of the Haas classification was lower than that of the other pathological classification systems for progression to ESRD or a ≥50% decline in eGFR (Lee grade 0.53, 95% CI 0.23–0.92; Oxford classification 0.59, 95% CI 0.10–0.74). The prognostic value of hierarchical classification (Beijing classification) using M and T lesion was similar to the Oxford classification. Conclusions: Both the Lee grade and the Oxford classification showed incremental prognostic values beyond established baseline clinical indicators. The Haas classification was slightly inferior to the Lee grade and the Oxford classification. The hierarchical classification (Beijing classification) using less pathological parameters does not lose predictive efficiency.</description><identifier>ISSN: 1420-4096</identifier><identifier>EISSN: 1423-0143</identifier><identifier>DOI: 10.1159/000500459</identifier><identifier>PMID: 31461707</identifier><language>eng</language><publisher>Basel, Switzerland: S. Karger AG</publisher><subject>Adult ; Age ; Atrophy ; Beijing ; Biopsy ; Calibration ; Classification ; Classification systems ; Creatinine ; Disease Progression ; End-stage renal disease ; Endocrine system ; Epidermal growth factor receptors ; Female ; Glomerular filtration rate ; Glomerulonephritis, IGA - classification ; Glomerulonephritis, IGA - diagnosis ; Glomerulonephritis, IGA - pathology ; Humans ; IgA nephropathy ; Immunoglobulin A ; Indicators ; Kappa coefficient ; Kidney diseases ; Male ; Middle Aged ; Pathology ; Patients ; Prognosis ; Quality ; Reclassification ; Regression analysis ; Regression models ; Renal pathology ; Research Article ; Retrospective Studies ; Survival analysis ; Variables ; Young Adult</subject><ispartof>Kidney & blood pressure research, 2019-10, Vol.44 (5), p.928-941</ispartof><rights>2019 The Author(s) Published by S. Karger AG, Basel</rights><rights>2019 The Author(s) Published by S. Karger AG, Basel.</rights><rights>2019 The Author(s) Published by S. Karger AG, Basel . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at: https://uk.sagepub.com/en-gb/eur/reusing-open-access-and-sage-choice-content</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c625t-f2e7fb0c78deed1ad980aee3e812e7912469af58d48114ed47f25797674f8cda3</citedby><cites>FETCH-LOGICAL-c625t-f2e7fb0c78deed1ad980aee3e812e7912469af58d48114ed47f25797674f8cda3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27635,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31461707$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Duan, Shu-Wei</creatorcontrib><creatorcontrib>Mei, Yan</creatorcontrib><creatorcontrib>Liu, Jian</creatorcontrib><creatorcontrib>Chen, Pu</creatorcontrib><creatorcontrib>Li, Ping</creatorcontrib><creatorcontrib>Chen, Yi-Zhi</creatorcontrib><creatorcontrib>Lin, Shu-Peng</creatorcontrib><creatorcontrib>Zhang, Xue-Guang</creatorcontrib><creatorcontrib>Liu, Jiao-Na</creatorcontrib><creatorcontrib>Sun, Xue-Feng</creatorcontrib><creatorcontrib>Xie, Yuan-Sheng</creatorcontrib><creatorcontrib>Cai, Guang-Yan</creatorcontrib><creatorcontrib>Liu, Shu-Wen</creatorcontrib><creatorcontrib>Wu, Jie</creatorcontrib><creatorcontrib>Chen, Xiang-Mei</creatorcontrib><title>Predictive Capabilities of Three Widely Used Pathology Classification Systems and a Simplified Classification (Beijing Classification) in Primary IgA Nephropathy</title><title>Kidney & blood pressure research</title><addtitle>Kidney Blood Press Res</addtitle><description>Abstract
Background/Aims: Several pathological classification systems were commonly used in clinical practice to predict the prognosis of IgA nephropathy (IgAN). However, how prognostic value differs between these systems is unclear. The aim of this study was to compare the Lee grade, the Oxford classification, and the Haas classification and to find a simplified classification. Methods: We retrospectively analyzed IgAN cases diagnosed between January 2002 and December 2007. The endpoints were progression to end-stage renal disease (ESRD) or a ≥50% decline in estimated glomerular filtration rate (eGFR). The predictive capabilities were evaluated by comparing the ability of discrimination (continuous net reclassification) and calibration (Akaike information criterion [AIC]). Results: A total of 412 IgAN patients were included in the study. The average follow-up period was 80.62 ± 23.63 months. A total of 44 (10.68%) patients progressed to ESRD, and 70 (16.99%) patients showed a ≥50% decline in eGFR. All multivariate Cox regression models had limited power for high AIC values. The prognostic values of the Lee grade and the Oxford classification were higher than those of models containing only established baseline clinical indicators for progression to ESRD or a ≥50% decline in eGFR (Lee grade 0.50, 95% CI 0.21–0.74; Oxford classification 0.48, 95% CI 0.28–0.71). The prognostic value of the Haas classification was lower than that of the other pathological classification systems for progression to ESRD or a ≥50% decline in eGFR (Lee grade 0.53, 95% CI 0.23–0.92; Oxford classification 0.59, 95% CI 0.10–0.74). The prognostic value of hierarchical classification (Beijing classification) using M and T lesion was similar to the Oxford classification. Conclusions: Both the Lee grade and the Oxford classification showed incremental prognostic values beyond established baseline clinical indicators. The Haas classification was slightly inferior to the Lee grade and the Oxford classification. The hierarchical classification (Beijing classification) using less pathological parameters does not lose predictive efficiency.</description><subject>Adult</subject><subject>Age</subject><subject>Atrophy</subject><subject>Beijing</subject><subject>Biopsy</subject><subject>Calibration</subject><subject>Classification</subject><subject>Classification systems</subject><subject>Creatinine</subject><subject>Disease Progression</subject><subject>End-stage renal disease</subject><subject>Endocrine system</subject><subject>Epidermal growth factor receptors</subject><subject>Female</subject><subject>Glomerular filtration rate</subject><subject>Glomerulonephritis, IGA - classification</subject><subject>Glomerulonephritis, IGA - diagnosis</subject><subject>Glomerulonephritis, IGA - pathology</subject><subject>Humans</subject><subject>IgA nephropathy</subject><subject>Immunoglobulin A</subject><subject>Indicators</subject><subject>Kappa coefficient</subject><subject>Kidney diseases</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Pathology</subject><subject>Patients</subject><subject>Prognosis</subject><subject>Quality</subject><subject>Reclassification</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Renal pathology</subject><subject>Research Article</subject><subject>Retrospective Studies</subject><subject>Survival analysis</subject><subject>Variables</subject><subject>Young Adult</subject><issn>1420-4096</issn><issn>1423-0143</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>M--</sourceid><sourceid>DOA</sourceid><recordid>eNp9kk9v1DAQxSNERUvhwB0hS720h4Cd2HF8bFf8WbWCFW3F0XLicdZLEgc7i5SPwzfFNCWHFeJka-Y3b95IL0leEfyWECbeYYwZxpSJJ8kJoVmeYkLzpw9_nFIsiuPkeQi7GcueJcc5oQXhmJ8kvzYetK1H-xPQSg2qsq0dLQTkDLrbegD0zWpoJ3QfQKONGreudc2EVq0KwRpbq9G6Ht1OYYQuINVrpNCt7YY2NuPEAXd-BXZn--agfoFsjzbedspPaN1cos8wbL0b4rrpRXJkVBvg5eN7mtx_eH-3-pTefPm4Xl3epHWRsTE1GXBT4ZqXGkATpUWJFUAOJYkdQTJaCGVYqWlJCAVNuckYF7zg1JS1Vvlpsp51tVM7OcxmpFNWPhScb6Tyo61bkDktmeA0LmQFpRmpShAGMxCcFBUpIWqdz1qDdz_2EEbZ2VBD26oe3D7ILCujH4KZiOjZAbpze9_HS2WOKaYC55j9j8oooSwaoiRSFzNVexeCB7OcQbD8kxS5JCWybx4V91UHeiH_RiMCr2fgu_IN-AVY5s_-2b6--joTctAm_w3lOcze</recordid><startdate>20191001</startdate><enddate>20191001</enddate><creator>Duan, Shu-Wei</creator><creator>Mei, Yan</creator><creator>Liu, Jian</creator><creator>Chen, Pu</creator><creator>Li, Ping</creator><creator>Chen, Yi-Zhi</creator><creator>Lin, Shu-Peng</creator><creator>Zhang, Xue-Guang</creator><creator>Liu, Jiao-Na</creator><creator>Sun, Xue-Feng</creator><creator>Xie, Yuan-Sheng</creator><creator>Cai, Guang-Yan</creator><creator>Liu, Shu-Wen</creator><creator>Wu, Jie</creator><creator>Chen, Xiang-Mei</creator><general>S. Karger AG</general><general>Karger Publishers</general><scope>M--</scope><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>7QL</scope><scope>7T7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>S0X</scope><scope>7X8</scope><scope>DOA</scope></search><sort><creationdate>20191001</creationdate><title>Predictive Capabilities of Three Widely Used Pathology Classification Systems and a Simplified Classification (Beijing Classification) in Primary IgA Nephropathy</title><author>Duan, Shu-Wei ; Mei, Yan ; Liu, Jian ; Chen, Pu ; Li, Ping ; Chen, Yi-Zhi ; Lin, Shu-Peng ; Zhang, Xue-Guang ; Liu, Jiao-Na ; Sun, Xue-Feng ; Xie, Yuan-Sheng ; Cai, Guang-Yan ; Liu, Shu-Wen ; Wu, Jie ; Chen, Xiang-Mei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c625t-f2e7fb0c78deed1ad980aee3e812e7912469af58d48114ed47f25797674f8cda3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adult</topic><topic>Age</topic><topic>Atrophy</topic><topic>Beijing</topic><topic>Biopsy</topic><topic>Calibration</topic><topic>Classification</topic><topic>Classification systems</topic><topic>Creatinine</topic><topic>Disease Progression</topic><topic>End-stage renal disease</topic><topic>Endocrine system</topic><topic>Epidermal growth factor receptors</topic><topic>Female</topic><topic>Glomerular filtration rate</topic><topic>Glomerulonephritis, IGA - classification</topic><topic>Glomerulonephritis, IGA - diagnosis</topic><topic>Glomerulonephritis, IGA - pathology</topic><topic>Humans</topic><topic>IgA nephropathy</topic><topic>Immunoglobulin A</topic><topic>Indicators</topic><topic>Kappa coefficient</topic><topic>Kidney diseases</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Pathology</topic><topic>Patients</topic><topic>Prognosis</topic><topic>Quality</topic><topic>Reclassification</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Renal pathology</topic><topic>Research Article</topic><topic>Retrospective Studies</topic><topic>Survival analysis</topic><topic>Variables</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Duan, Shu-Wei</creatorcontrib><creatorcontrib>Mei, Yan</creatorcontrib><creatorcontrib>Liu, Jian</creatorcontrib><creatorcontrib>Chen, Pu</creatorcontrib><creatorcontrib>Li, Ping</creatorcontrib><creatorcontrib>Chen, Yi-Zhi</creatorcontrib><creatorcontrib>Lin, Shu-Peng</creatorcontrib><creatorcontrib>Zhang, Xue-Guang</creatorcontrib><creatorcontrib>Liu, Jiao-Na</creatorcontrib><creatorcontrib>Sun, Xue-Feng</creatorcontrib><creatorcontrib>Xie, Yuan-Sheng</creatorcontrib><creatorcontrib>Cai, Guang-Yan</creatorcontrib><creatorcontrib>Liu, Shu-Wen</creatorcontrib><creatorcontrib>Wu, Jie</creatorcontrib><creatorcontrib>Chen, Xiang-Mei</creatorcontrib><collection>Karger Open Access</collection><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>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Virology and AIDS 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>Technology Research Database</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)</collection><collection>ProQuest Central</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</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>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><collection>Directory of Open Access Journals</collection><jtitle>Kidney & blood pressure research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Duan, Shu-Wei</au><au>Mei, Yan</au><au>Liu, Jian</au><au>Chen, Pu</au><au>Li, Ping</au><au>Chen, Yi-Zhi</au><au>Lin, Shu-Peng</au><au>Zhang, Xue-Guang</au><au>Liu, Jiao-Na</au><au>Sun, Xue-Feng</au><au>Xie, Yuan-Sheng</au><au>Cai, Guang-Yan</au><au>Liu, Shu-Wen</au><au>Wu, Jie</au><au>Chen, Xiang-Mei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictive Capabilities of Three Widely Used Pathology Classification Systems and a Simplified Classification (Beijing Classification) in Primary IgA Nephropathy</atitle><jtitle>Kidney & blood pressure research</jtitle><addtitle>Kidney Blood Press Res</addtitle><date>2019-10-01</date><risdate>2019</risdate><volume>44</volume><issue>5</issue><spage>928</spage><epage>941</epage><pages>928-941</pages><issn>1420-4096</issn><eissn>1423-0143</eissn><abstract>Abstract
Background/Aims: Several pathological classification systems were commonly used in clinical practice to predict the prognosis of IgA nephropathy (IgAN). However, how prognostic value differs between these systems is unclear. The aim of this study was to compare the Lee grade, the Oxford classification, and the Haas classification and to find a simplified classification. Methods: We retrospectively analyzed IgAN cases diagnosed between January 2002 and December 2007. The endpoints were progression to end-stage renal disease (ESRD) or a ≥50% decline in estimated glomerular filtration rate (eGFR). The predictive capabilities were evaluated by comparing the ability of discrimination (continuous net reclassification) and calibration (Akaike information criterion [AIC]). Results: A total of 412 IgAN patients were included in the study. The average follow-up period was 80.62 ± 23.63 months. A total of 44 (10.68%) patients progressed to ESRD, and 70 (16.99%) patients showed a ≥50% decline in eGFR. All multivariate Cox regression models had limited power for high AIC values. The prognostic values of the Lee grade and the Oxford classification were higher than those of models containing only established baseline clinical indicators for progression to ESRD or a ≥50% decline in eGFR (Lee grade 0.50, 95% CI 0.21–0.74; Oxford classification 0.48, 95% CI 0.28–0.71). The prognostic value of the Haas classification was lower than that of the other pathological classification systems for progression to ESRD or a ≥50% decline in eGFR (Lee grade 0.53, 95% CI 0.23–0.92; Oxford classification 0.59, 95% CI 0.10–0.74). The prognostic value of hierarchical classification (Beijing classification) using M and T lesion was similar to the Oxford classification. Conclusions: Both the Lee grade and the Oxford classification showed incremental prognostic values beyond established baseline clinical indicators. The Haas classification was slightly inferior to the Lee grade and the Oxford classification. The hierarchical classification (Beijing classification) using less pathological parameters does not lose predictive efficiency.</abstract><cop>Basel, Switzerland</cop><pub>S. Karger AG</pub><pmid>31461707</pmid><doi>10.1159/000500459</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Age Atrophy Beijing Biopsy Calibration Classification Classification systems Creatinine Disease Progression End-stage renal disease Endocrine system Epidermal growth factor receptors Female Glomerular filtration rate Glomerulonephritis, IGA - classification Glomerulonephritis, IGA - diagnosis Glomerulonephritis, IGA - pathology Humans IgA nephropathy Immunoglobulin A Indicators Kappa coefficient Kidney diseases Male Middle Aged Pathology Patients Prognosis Quality Reclassification Regression analysis Regression models Renal pathology Research Article Retrospective Studies Survival analysis Variables Young Adult |
title | Predictive Capabilities of Three Widely Used Pathology Classification Systems and a Simplified Classification (Beijing Classification) in Primary IgA Nephropathy |
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