A15: Predicting Macrophage Activation Syndrome in Pediatric Systemic Lupus Erythematosus Patients at Diagnosis

Background/Purpose: Macrophage activation syndrome (MAS), a life‐threatening inflammatory emergency of children with rheumatic diseases, is increasingly recognized in pediatric systemic lupus erythematosus (pSLE). The challenge is to differentiate active pSLE from MAS in order to make correct treatm...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Arthritis & rheumatology (Hoboken, N.J.) N.J.), 2014-03, Vol.66 (S3), p.S25-S25
Hauptverfasser: Gerstein, Maya, Sukhdeo, Sharon, Levy, Deborah M., Feldman, Brian M., Benseler, Susanne M., Ng, Lawrence W.K., Abdelhaleem, Mohamed, Silverman, Earl D., Hiraki, Linda
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page S25
container_issue S3
container_start_page S25
container_title Arthritis & rheumatology (Hoboken, N.J.)
container_volume 66
creator Gerstein, Maya
Sukhdeo, Sharon
Levy, Deborah M.
Feldman, Brian M.
Benseler, Susanne M.
Ng, Lawrence W.K.
Abdelhaleem, Mohamed
Silverman, Earl D.
Hiraki, Linda
description Background/Purpose: Macrophage activation syndrome (MAS), a life‐threatening inflammatory emergency of children with rheumatic diseases, is increasingly recognized in pediatric systemic lupus erythematosus (pSLE). The challenge is to differentiate active pSLE from MAS in order to make correct treatment decisions. The purpose of this study is to generate a decision tree for the recognition of MAS in newly diagnosed pSLE and test the performance of these proposed criteria in an independent pSLE cohort. Methods: A retrospective cohort study of consecutive patients requiring admission to SickKids Hospital with newly diagnosed, active pSLE between January 2002 and July 2007 (training cohort) was performed. All patients met ≥4/11 ACR criteria. Data collection on: 1) Clinical features including fever, CNS dysfunction, splenomegaly, hepatomegaly and hemorrhage; 2) laboratory parameters; CBC, ESR, CRP, C3, C4, ferritin, AST, ALT, LDH, albumin, bilirubin, triglycerides, LDL, HDL, urea, creatinine, sodium, coagulation parameters including INR, PTT, fibrinogen and D‐Dimer, and soluble IL‐2 receptor (sIL‐2R) and CD163. Patients were assigned to one of 2 cohorts exclusively (MAS/non‐MAS). Putative predictor variables were compared between cohorts. A decision tree analysis for diagnosis of MAS in pSLE was constructed using recursive partitioning, and decision rules were subsequently applied to an independent cohort of newly diagnosed, active pSLE diagnosed and admitted to SickKids between July 2007 and July 2013 (testing cohort) to determine the sensitivity and specificity of the proposed criteria. Results: The training cohort consisted of 56 pSLE patients: 9 (16%) diagnosed with MAS and 47 non‐MAS patients. Splenomegaly was more common in the non‐MAS cohort, with no other differences in clinical characteristics between cohorts. Of all the available laboratory data, ALT ≥ 45 units/L, neutrophils < 1.65 × 103/mm3 and ferritin < 836 µg/L identified 56% of the patients with MAS (R2 = 0.75) with 100% specificity. The testing cohort consisted of 9 (20%) MAS and 37 non‐MAS pSLE patients. The proposed thresholds for ALT, neutrophil count and ferritin demonstrated a sensitivity of 11% and specificity of 97%. Conclusion: MAS is a life threatening complication of pSLE. Early recognition is challenging yet critical for appropriate therapy. PSLE patient with and without MAS have many similar clinical and laboratory features. Using statistical modeling, the initial criteria developed
doi_str_mv 10.1002/art.38431
format Article
fullrecord <record><control><sourceid>wiley_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1002_art_38431</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>ART38431</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1141-d994fa426c2540314dbdcf96bf4f7e6554a31445f008bb2f52458dbacdecd19a3</originalsourceid><addsrcrecordid>eNp1kE9PAjEQxRujiQQ5-A169bDQdtuF9bZBRBOMRPG8me0fqGG7pC2a_fZW0aNzmZmX35tkHkLXlIwpIWwCPo7zGc_pGRqwnBWZYESc_820pJdoFMI7SVVOSUHEALmKilu89lpZGa3b4ieQvjvsYKtxlZQPiLZz-LV3ynetxtbhdWIheiuTGqJu07A6Ho4BL3wfd7qF2IW0rZNTuxgwRHxnYeu6YMMVujCwD3r024fo7X6xmT9kq-fl47xaZZJSTjNVltwAZ4VkgpOcctUoacqiMdxMdSEEhyRyYQiZNQ0zgnExUw1IpaWiJeRDdHO6m54JwWtTH7xtwfc1JfV3VnXKqv7JKrGTE_tp97r_H6yrl83J8QWwV2zH</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>A15: Predicting Macrophage Activation Syndrome in Pediatric Systemic Lupus Erythematosus Patients at Diagnosis</title><source>Wiley Online Library Journals</source><source>Alma/SFX Local Collection</source><creator>Gerstein, Maya ; Sukhdeo, Sharon ; Levy, Deborah M. ; Feldman, Brian M. ; Benseler, Susanne M. ; Ng, Lawrence W.K. ; Abdelhaleem, Mohamed ; Silverman, Earl D. ; Hiraki, Linda</creator><creatorcontrib>Gerstein, Maya ; Sukhdeo, Sharon ; Levy, Deborah M. ; Feldman, Brian M. ; Benseler, Susanne M. ; Ng, Lawrence W.K. ; Abdelhaleem, Mohamed ; Silverman, Earl D. ; Hiraki, Linda</creatorcontrib><description>Background/Purpose: Macrophage activation syndrome (MAS), a life‐threatening inflammatory emergency of children with rheumatic diseases, is increasingly recognized in pediatric systemic lupus erythematosus (pSLE). The challenge is to differentiate active pSLE from MAS in order to make correct treatment decisions. The purpose of this study is to generate a decision tree for the recognition of MAS in newly diagnosed pSLE and test the performance of these proposed criteria in an independent pSLE cohort. Methods: A retrospective cohort study of consecutive patients requiring admission to SickKids Hospital with newly diagnosed, active pSLE between January 2002 and July 2007 (training cohort) was performed. All patients met ≥4/11 ACR criteria. Data collection on: 1) Clinical features including fever, CNS dysfunction, splenomegaly, hepatomegaly and hemorrhage; 2) laboratory parameters; CBC, ESR, CRP, C3, C4, ferritin, AST, ALT, LDH, albumin, bilirubin, triglycerides, LDL, HDL, urea, creatinine, sodium, coagulation parameters including INR, PTT, fibrinogen and D‐Dimer, and soluble IL‐2 receptor (sIL‐2R) and CD163. Patients were assigned to one of 2 cohorts exclusively (MAS/non‐MAS). Putative predictor variables were compared between cohorts. A decision tree analysis for diagnosis of MAS in pSLE was constructed using recursive partitioning, and decision rules were subsequently applied to an independent cohort of newly diagnosed, active pSLE diagnosed and admitted to SickKids between July 2007 and July 2013 (testing cohort) to determine the sensitivity and specificity of the proposed criteria. Results: The training cohort consisted of 56 pSLE patients: 9 (16%) diagnosed with MAS and 47 non‐MAS patients. Splenomegaly was more common in the non‐MAS cohort, with no other differences in clinical characteristics between cohorts. Of all the available laboratory data, ALT ≥ 45 units/L, neutrophils &lt; 1.65 × 103/mm3 and ferritin &lt; 836 µg/L identified 56% of the patients with MAS (R2 = 0.75) with 100% specificity. The testing cohort consisted of 9 (20%) MAS and 37 non‐MAS pSLE patients. The proposed thresholds for ALT, neutrophil count and ferritin demonstrated a sensitivity of 11% and specificity of 97%. Conclusion: MAS is a life threatening complication of pSLE. Early recognition is challenging yet critical for appropriate therapy. PSLE patient with and without MAS have many similar clinical and laboratory features. Using statistical modeling, the initial criteria developed maintained excellent specificity but poor sensitivity for distinguishing MAS from active SLE at diagnosis in the testing cohort. Hence, new validated models are required for the early recognition of MAS among pSLE patients. Future analyses are planned to address these issues.</description><identifier>ISSN: 2326-5191</identifier><identifier>EISSN: 2326-5205</identifier><identifier>DOI: 10.1002/art.38431</identifier><language>eng</language><ispartof>Arthritis &amp; rheumatology (Hoboken, N.J.), 2014-03, Vol.66 (S3), p.S25-S25</ispartof><rights>Copyright © 2014 by the American College of Rheumatology</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1141-d994fa426c2540314dbdcf96bf4f7e6554a31445f008bb2f52458dbacdecd19a3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fart.38431$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fart.38431$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1416,27923,27924,45573,45574</link.rule.ids></links><search><creatorcontrib>Gerstein, Maya</creatorcontrib><creatorcontrib>Sukhdeo, Sharon</creatorcontrib><creatorcontrib>Levy, Deborah M.</creatorcontrib><creatorcontrib>Feldman, Brian M.</creatorcontrib><creatorcontrib>Benseler, Susanne M.</creatorcontrib><creatorcontrib>Ng, Lawrence W.K.</creatorcontrib><creatorcontrib>Abdelhaleem, Mohamed</creatorcontrib><creatorcontrib>Silverman, Earl D.</creatorcontrib><creatorcontrib>Hiraki, Linda</creatorcontrib><title>A15: Predicting Macrophage Activation Syndrome in Pediatric Systemic Lupus Erythematosus Patients at Diagnosis</title><title>Arthritis &amp; rheumatology (Hoboken, N.J.)</title><description>Background/Purpose: Macrophage activation syndrome (MAS), a life‐threatening inflammatory emergency of children with rheumatic diseases, is increasingly recognized in pediatric systemic lupus erythematosus (pSLE). The challenge is to differentiate active pSLE from MAS in order to make correct treatment decisions. The purpose of this study is to generate a decision tree for the recognition of MAS in newly diagnosed pSLE and test the performance of these proposed criteria in an independent pSLE cohort. Methods: A retrospective cohort study of consecutive patients requiring admission to SickKids Hospital with newly diagnosed, active pSLE between January 2002 and July 2007 (training cohort) was performed. All patients met ≥4/11 ACR criteria. Data collection on: 1) Clinical features including fever, CNS dysfunction, splenomegaly, hepatomegaly and hemorrhage; 2) laboratory parameters; CBC, ESR, CRP, C3, C4, ferritin, AST, ALT, LDH, albumin, bilirubin, triglycerides, LDL, HDL, urea, creatinine, sodium, coagulation parameters including INR, PTT, fibrinogen and D‐Dimer, and soluble IL‐2 receptor (sIL‐2R) and CD163. Patients were assigned to one of 2 cohorts exclusively (MAS/non‐MAS). Putative predictor variables were compared between cohorts. A decision tree analysis for diagnosis of MAS in pSLE was constructed using recursive partitioning, and decision rules were subsequently applied to an independent cohort of newly diagnosed, active pSLE diagnosed and admitted to SickKids between July 2007 and July 2013 (testing cohort) to determine the sensitivity and specificity of the proposed criteria. Results: The training cohort consisted of 56 pSLE patients: 9 (16%) diagnosed with MAS and 47 non‐MAS patients. Splenomegaly was more common in the non‐MAS cohort, with no other differences in clinical characteristics between cohorts. Of all the available laboratory data, ALT ≥ 45 units/L, neutrophils &lt; 1.65 × 103/mm3 and ferritin &lt; 836 µg/L identified 56% of the patients with MAS (R2 = 0.75) with 100% specificity. The testing cohort consisted of 9 (20%) MAS and 37 non‐MAS pSLE patients. The proposed thresholds for ALT, neutrophil count and ferritin demonstrated a sensitivity of 11% and specificity of 97%. Conclusion: MAS is a life threatening complication of pSLE. Early recognition is challenging yet critical for appropriate therapy. PSLE patient with and without MAS have many similar clinical and laboratory features. Using statistical modeling, the initial criteria developed maintained excellent specificity but poor sensitivity for distinguishing MAS from active SLE at diagnosis in the testing cohort. Hence, new validated models are required for the early recognition of MAS among pSLE patients. Future analyses are planned to address these issues.</description><issn>2326-5191</issn><issn>2326-5205</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNp1kE9PAjEQxRujiQQ5-A169bDQdtuF9bZBRBOMRPG8me0fqGG7pC2a_fZW0aNzmZmX35tkHkLXlIwpIWwCPo7zGc_pGRqwnBWZYESc_820pJdoFMI7SVVOSUHEALmKilu89lpZGa3b4ieQvjvsYKtxlZQPiLZz-LV3ynetxtbhdWIheiuTGqJu07A6Ho4BL3wfd7qF2IW0rZNTuxgwRHxnYeu6YMMVujCwD3r024fo7X6xmT9kq-fl47xaZZJSTjNVltwAZ4VkgpOcctUoacqiMdxMdSEEhyRyYQiZNQ0zgnExUw1IpaWiJeRDdHO6m54JwWtTH7xtwfc1JfV3VnXKqv7JKrGTE_tp97r_H6yrl83J8QWwV2zH</recordid><startdate>201403</startdate><enddate>201403</enddate><creator>Gerstein, Maya</creator><creator>Sukhdeo, Sharon</creator><creator>Levy, Deborah M.</creator><creator>Feldman, Brian M.</creator><creator>Benseler, Susanne M.</creator><creator>Ng, Lawrence W.K.</creator><creator>Abdelhaleem, Mohamed</creator><creator>Silverman, Earl D.</creator><creator>Hiraki, Linda</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>201403</creationdate><title>A15: Predicting Macrophage Activation Syndrome in Pediatric Systemic Lupus Erythematosus Patients at Diagnosis</title><author>Gerstein, Maya ; Sukhdeo, Sharon ; Levy, Deborah M. ; Feldman, Brian M. ; Benseler, Susanne M. ; Ng, Lawrence W.K. ; Abdelhaleem, Mohamed ; Silverman, Earl D. ; Hiraki, Linda</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1141-d994fa426c2540314dbdcf96bf4f7e6554a31445f008bb2f52458dbacdecd19a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gerstein, Maya</creatorcontrib><creatorcontrib>Sukhdeo, Sharon</creatorcontrib><creatorcontrib>Levy, Deborah M.</creatorcontrib><creatorcontrib>Feldman, Brian M.</creatorcontrib><creatorcontrib>Benseler, Susanne M.</creatorcontrib><creatorcontrib>Ng, Lawrence W.K.</creatorcontrib><creatorcontrib>Abdelhaleem, Mohamed</creatorcontrib><creatorcontrib>Silverman, Earl D.</creatorcontrib><creatorcontrib>Hiraki, Linda</creatorcontrib><collection>CrossRef</collection><jtitle>Arthritis &amp; rheumatology (Hoboken, N.J.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gerstein, Maya</au><au>Sukhdeo, Sharon</au><au>Levy, Deborah M.</au><au>Feldman, Brian M.</au><au>Benseler, Susanne M.</au><au>Ng, Lawrence W.K.</au><au>Abdelhaleem, Mohamed</au><au>Silverman, Earl D.</au><au>Hiraki, Linda</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A15: Predicting Macrophage Activation Syndrome in Pediatric Systemic Lupus Erythematosus Patients at Diagnosis</atitle><jtitle>Arthritis &amp; rheumatology (Hoboken, N.J.)</jtitle><date>2014-03</date><risdate>2014</risdate><volume>66</volume><issue>S3</issue><spage>S25</spage><epage>S25</epage><pages>S25-S25</pages><issn>2326-5191</issn><eissn>2326-5205</eissn><abstract>Background/Purpose: Macrophage activation syndrome (MAS), a life‐threatening inflammatory emergency of children with rheumatic diseases, is increasingly recognized in pediatric systemic lupus erythematosus (pSLE). The challenge is to differentiate active pSLE from MAS in order to make correct treatment decisions. The purpose of this study is to generate a decision tree for the recognition of MAS in newly diagnosed pSLE and test the performance of these proposed criteria in an independent pSLE cohort. Methods: A retrospective cohort study of consecutive patients requiring admission to SickKids Hospital with newly diagnosed, active pSLE between January 2002 and July 2007 (training cohort) was performed. All patients met ≥4/11 ACR criteria. Data collection on: 1) Clinical features including fever, CNS dysfunction, splenomegaly, hepatomegaly and hemorrhage; 2) laboratory parameters; CBC, ESR, CRP, C3, C4, ferritin, AST, ALT, LDH, albumin, bilirubin, triglycerides, LDL, HDL, urea, creatinine, sodium, coagulation parameters including INR, PTT, fibrinogen and D‐Dimer, and soluble IL‐2 receptor (sIL‐2R) and CD163. Patients were assigned to one of 2 cohorts exclusively (MAS/non‐MAS). Putative predictor variables were compared between cohorts. A decision tree analysis for diagnosis of MAS in pSLE was constructed using recursive partitioning, and decision rules were subsequently applied to an independent cohort of newly diagnosed, active pSLE diagnosed and admitted to SickKids between July 2007 and July 2013 (testing cohort) to determine the sensitivity and specificity of the proposed criteria. Results: The training cohort consisted of 56 pSLE patients: 9 (16%) diagnosed with MAS and 47 non‐MAS patients. Splenomegaly was more common in the non‐MAS cohort, with no other differences in clinical characteristics between cohorts. Of all the available laboratory data, ALT ≥ 45 units/L, neutrophils &lt; 1.65 × 103/mm3 and ferritin &lt; 836 µg/L identified 56% of the patients with MAS (R2 = 0.75) with 100% specificity. The testing cohort consisted of 9 (20%) MAS and 37 non‐MAS pSLE patients. The proposed thresholds for ALT, neutrophil count and ferritin demonstrated a sensitivity of 11% and specificity of 97%. Conclusion: MAS is a life threatening complication of pSLE. Early recognition is challenging yet critical for appropriate therapy. PSLE patient with and without MAS have many similar clinical and laboratory features. Using statistical modeling, the initial criteria developed maintained excellent specificity but poor sensitivity for distinguishing MAS from active SLE at diagnosis in the testing cohort. Hence, new validated models are required for the early recognition of MAS among pSLE patients. Future analyses are planned to address these issues.</abstract><doi>10.1002/art.38431</doi><tpages>1</tpages></addata></record>
fulltext fulltext
identifier ISSN: 2326-5191
ispartof Arthritis & rheumatology (Hoboken, N.J.), 2014-03, Vol.66 (S3), p.S25-S25
issn 2326-5191
2326-5205
language eng
recordid cdi_crossref_primary_10_1002_art_38431
source Wiley Online Library Journals; Alma/SFX Local Collection
title A15: Predicting Macrophage Activation Syndrome in Pediatric Systemic Lupus Erythematosus Patients at Diagnosis
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T14%3A55%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-wiley_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A15:%20Predicting%20Macrophage%20Activation%20Syndrome%20in%20Pediatric%20Systemic%20Lupus%20Erythematosus%20Patients%20at%20Diagnosis&rft.jtitle=Arthritis%20&%20rheumatology%20(Hoboken,%20N.J.)&rft.au=Gerstein,%20Maya&rft.date=2014-03&rft.volume=66&rft.issue=S3&rft.spage=S25&rft.epage=S25&rft.pages=S25-S25&rft.issn=2326-5191&rft.eissn=2326-5205&rft_id=info:doi/10.1002/art.38431&rft_dat=%3Cwiley_cross%3EART38431%3C/wiley_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true