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Accumulative risk of clinical event in high-risk radiologically isolated syndrome in Argentina: data from the nationwide registry RelevarEM
Introduction We aimed to analyze the accumulative risk of MRI and OB factors for evolution from RIS to MS in subjects included in the Argentinean MS registry (NCT03375177). Methods RIS subjects were identified according to RIS diagnosis criteria. Subjects were longitudinally followed with clinical a...
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Published in: | Journal of neurology 2022-04, Vol.269 (4), p.2073-2079 |
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creator | Rojas, Juan I. Pappolla, Agustín Blaya, Patricio Marrodán, Mariano Ysrraelit, María C. Luetic, Geraldine Liwacki, Susana Barboza, Andrés Burgos, Marcos Cohen, Leila Mainella, Carolina Zanga, Gisela Menichini, María L. Tavolini, Dario Tkachuk, Verónica Lopez, Pablo Lequizamon, Felisa Knorre, Eduardo Nofal, Pedro Patrucco, Liliana Miguez, Jimena Cristiano, Edgardo Fiol, Marcela Correale, Jorge Gaitán, María I. Alonso, Ricardo Silva, Berenice Garcea, Orlando Carrá, Adriana Fernandez Liguori, Nora Alonso Serena, Marina Carnero Contentti, Edgar |
description | Introduction
We aimed to analyze the accumulative risk of MRI and OB factors for evolution from RIS to MS in subjects included in the Argentinean MS registry (NCT03375177).
Methods
RIS subjects were identified according to RIS diagnosis criteria. Subjects were longitudinally followed with clinical and MRI at intervals of 6 months. Time from RIS identification to the first clinical event was estimated using Kaplan–Meier. Multivariable Cox regression models were created to assess the independent predictive value of demographic characteristics, as well as clinical, OB and MRI data on time to the first clinical event. The single and increased risk factor of evolution of RIS was quantified.
Results
A total of 88 RIS subjects, mean follow-up time 42 ± 4 months were included. 39 (44.3%) and 23 (26.1%) had a new MRI lesion or a clinical event, respectively, during the follow-up. OB (HR 5.9, 95% CI 1.29–10.1,
p
= 0.004), infratentorial lesions (HR 3.7, 95% CI 1.09–7.5) and spinal cord lesions (HR 5.3, 95% CI 1.4–8.2,
p
= 0.01) at RIS identification were independent predictors associated with a subsequent clinical event. The accumulative risk showed that when two of the three factors (OB, infratentorial or spinal cord lesions) were present the HR was 10.4, 95% CI 4.4–22,
p
|
doi_str_mv | 10.1007/s00415-021-10791-4 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2570108897</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2570108897</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-9c96a7e6f33cc07003fcdef6b3a791a2946dbd34dc96c09f9105eaae2cc8ea4f3</originalsourceid><addsrcrecordid>eNp9kc-OFCEYxInRuOPqC3gwJF68oB8N3T14m2zWP8kaE6NnwsBHD2s3rNA9m3kGX1pmZ9XEgxc41K-qCEXIcw6vOUD_pgBI3jJoOOPQK87kA7LiUjSMy1Y9JCsQElgrWnlGnpRyDQDrKjwmZ0JKxSV0K_JzY-0yLaOZwx5pDuU7TZ7aMcRgzUhxj3GmIdJdGHbsTs7GhTSm4aiPBxpKqmZ0tByiy2nCI73JQ_WFaN5SZ2ZDfRXovEMaa0-Kt8HVLhxCmfOBfsER9yZffnpKHnkzFnx2f5-Tb-8uv158YFef33-82FwxK_p2ZsqqzvTYeSGshR5AeOvQd1th6ieYRsnObZ2QrnIWlFccWjQGG2vXaKQX5-TVKfcmpx8LlllPoVgcRxMxLUU3bQ8c1mvVV_TlP-h1WnKsr9NNJ3mn6ikq1Zwom1MpGb2-yWEy-aA56ONU-jSVrlPpu6m0rKYX99HLdkL3x_J7mwqIE1CqFAfMf7v_E_sLUGehmw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2641692643</pqid></control><display><type>article</type><title>Accumulative risk of clinical event in high-risk radiologically isolated syndrome in Argentina: data from the nationwide registry RelevarEM</title><source>Springer Nature</source><creator>Rojas, Juan I. ; Pappolla, Agustín ; Blaya, Patricio ; Marrodán, Mariano ; Ysrraelit, María C. ; Luetic, Geraldine ; Liwacki, Susana ; Barboza, Andrés ; Burgos, Marcos ; Cohen, Leila ; Mainella, Carolina ; Zanga, Gisela ; Menichini, María L. ; Tavolini, Dario ; Tkachuk, Verónica ; Lopez, Pablo ; Lequizamon, Felisa ; Knorre, Eduardo ; Nofal, Pedro ; Patrucco, Liliana ; Miguez, Jimena ; Cristiano, Edgardo ; Fiol, Marcela ; Correale, Jorge ; Gaitán, María I. ; Alonso, Ricardo ; Silva, Berenice ; Garcea, Orlando ; Carrá, Adriana ; Fernandez Liguori, Nora ; Alonso Serena, Marina ; Carnero Contentti, Edgar</creator><creatorcontrib>Rojas, Juan I. ; Pappolla, Agustín ; Blaya, Patricio ; Marrodán, Mariano ; Ysrraelit, María C. ; Luetic, Geraldine ; Liwacki, Susana ; Barboza, Andrés ; Burgos, Marcos ; Cohen, Leila ; Mainella, Carolina ; Zanga, Gisela ; Menichini, María L. ; Tavolini, Dario ; Tkachuk, Verónica ; Lopez, Pablo ; Lequizamon, Felisa ; Knorre, Eduardo ; Nofal, Pedro ; Patrucco, Liliana ; Miguez, Jimena ; Cristiano, Edgardo ; Fiol, Marcela ; Correale, Jorge ; Gaitán, María I. ; Alonso, Ricardo ; Silva, Berenice ; Garcea, Orlando ; Carrá, Adriana ; Fernandez Liguori, Nora ; Alonso Serena, Marina ; Carnero Contentti, Edgar</creatorcontrib><description>Introduction
We aimed to analyze the accumulative risk of MRI and OB factors for evolution from RIS to MS in subjects included in the Argentinean MS registry (NCT03375177).
Methods
RIS subjects were identified according to RIS diagnosis criteria. Subjects were longitudinally followed with clinical and MRI at intervals of 6 months. Time from RIS identification to the first clinical event was estimated using Kaplan–Meier. Multivariable Cox regression models were created to assess the independent predictive value of demographic characteristics, as well as clinical, OB and MRI data on time to the first clinical event. The single and increased risk factor of evolution of RIS was quantified.
Results
A total of 88 RIS subjects, mean follow-up time 42 ± 4 months were included. 39 (44.3%) and 23 (26.1%) had a new MRI lesion or a clinical event, respectively, during the follow-up. OB (HR 5.9, 95% CI 1.29–10.1,
p
= 0.004), infratentorial lesions (HR 3.7, 95% CI 1.09–7.5) and spinal cord lesions (HR 5.3, 95% CI 1.4–8.2,
p
= 0.01) at RIS identification were independent predictors associated with a subsequent clinical event. The accumulative risk showed that when two of the three factors (OB, infratentorial or spinal cord lesions) were present the HR was 10.4, 95% CI 4.4–22,
p
< 0.001, and when three factors were present, it was HR 15.6, 95% CI 5.7–28,
p
< 0.001 for a relapse.
Conclusion
The presence of three factors significantly increased the risk of clinical event; high-risk subjects should probably be managed by a different approach than those used for individuals without high-risk factors.</description><identifier>ISSN: 0340-5354</identifier><identifier>EISSN: 1432-1459</identifier><identifier>DOI: 10.1007/s00415-021-10791-4</identifier><identifier>PMID: 34491406</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Argentina - epidemiology ; Demyelinating Diseases - diagnosis ; Disease Progression ; Humans ; Lesions ; Magnetic Resonance Imaging ; Medicine ; Medicine & Public Health ; Multiple Sclerosis - diagnostic imaging ; Multiple Sclerosis - epidemiology ; NCT ; NCT03375177 ; Neurology ; Neuroradiology ; Neurosciences ; Original Communication ; Registries ; Regression analysis ; Risk factors ; Spinal cord</subject><ispartof>Journal of neurology, 2022-04, Vol.269 (4), p.2073-2079</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2021</rights><rights>2021. Springer-Verlag GmbH Germany, part of Springer Nature.</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-9c96a7e6f33cc07003fcdef6b3a791a2946dbd34dc96c09f9105eaae2cc8ea4f3</citedby><cites>FETCH-LOGICAL-c375t-9c96a7e6f33cc07003fcdef6b3a791a2946dbd34dc96c09f9105eaae2cc8ea4f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34491406$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rojas, Juan I.</creatorcontrib><creatorcontrib>Pappolla, Agustín</creatorcontrib><creatorcontrib>Blaya, Patricio</creatorcontrib><creatorcontrib>Marrodán, Mariano</creatorcontrib><creatorcontrib>Ysrraelit, María C.</creatorcontrib><creatorcontrib>Luetic, Geraldine</creatorcontrib><creatorcontrib>Liwacki, Susana</creatorcontrib><creatorcontrib>Barboza, Andrés</creatorcontrib><creatorcontrib>Burgos, Marcos</creatorcontrib><creatorcontrib>Cohen, Leila</creatorcontrib><creatorcontrib>Mainella, Carolina</creatorcontrib><creatorcontrib>Zanga, Gisela</creatorcontrib><creatorcontrib>Menichini, María L.</creatorcontrib><creatorcontrib>Tavolini, Dario</creatorcontrib><creatorcontrib>Tkachuk, Verónica</creatorcontrib><creatorcontrib>Lopez, Pablo</creatorcontrib><creatorcontrib>Lequizamon, Felisa</creatorcontrib><creatorcontrib>Knorre, Eduardo</creatorcontrib><creatorcontrib>Nofal, Pedro</creatorcontrib><creatorcontrib>Patrucco, Liliana</creatorcontrib><creatorcontrib>Miguez, Jimena</creatorcontrib><creatorcontrib>Cristiano, Edgardo</creatorcontrib><creatorcontrib>Fiol, Marcela</creatorcontrib><creatorcontrib>Correale, Jorge</creatorcontrib><creatorcontrib>Gaitán, María I.</creatorcontrib><creatorcontrib>Alonso, Ricardo</creatorcontrib><creatorcontrib>Silva, Berenice</creatorcontrib><creatorcontrib>Garcea, Orlando</creatorcontrib><creatorcontrib>Carrá, Adriana</creatorcontrib><creatorcontrib>Fernandez Liguori, Nora</creatorcontrib><creatorcontrib>Alonso Serena, Marina</creatorcontrib><creatorcontrib>Carnero Contentti, Edgar</creatorcontrib><title>Accumulative risk of clinical event in high-risk radiologically isolated syndrome in Argentina: data from the nationwide registry RelevarEM</title><title>Journal of neurology</title><addtitle>J Neurol</addtitle><addtitle>J Neurol</addtitle><description>Introduction
We aimed to analyze the accumulative risk of MRI and OB factors for evolution from RIS to MS in subjects included in the Argentinean MS registry (NCT03375177).
Methods
RIS subjects were identified according to RIS diagnosis criteria. Subjects were longitudinally followed with clinical and MRI at intervals of 6 months. Time from RIS identification to the first clinical event was estimated using Kaplan–Meier. Multivariable Cox regression models were created to assess the independent predictive value of demographic characteristics, as well as clinical, OB and MRI data on time to the first clinical event. The single and increased risk factor of evolution of RIS was quantified.
Results
A total of 88 RIS subjects, mean follow-up time 42 ± 4 months were included. 39 (44.3%) and 23 (26.1%) had a new MRI lesion or a clinical event, respectively, during the follow-up. OB (HR 5.9, 95% CI 1.29–10.1,
p
= 0.004), infratentorial lesions (HR 3.7, 95% CI 1.09–7.5) and spinal cord lesions (HR 5.3, 95% CI 1.4–8.2,
p
= 0.01) at RIS identification were independent predictors associated with a subsequent clinical event. The accumulative risk showed that when two of the three factors (OB, infratentorial or spinal cord lesions) were present the HR was 10.4, 95% CI 4.4–22,
p
< 0.001, and when three factors were present, it was HR 15.6, 95% CI 5.7–28,
p
< 0.001 for a relapse.
Conclusion
The presence of three factors significantly increased the risk of clinical event; high-risk subjects should probably be managed by a different approach than those used for individuals without high-risk factors.</description><subject>Argentina - epidemiology</subject><subject>Demyelinating Diseases - diagnosis</subject><subject>Disease Progression</subject><subject>Humans</subject><subject>Lesions</subject><subject>Magnetic Resonance Imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Multiple Sclerosis - diagnostic imaging</subject><subject>Multiple Sclerosis - epidemiology</subject><subject>NCT</subject><subject>NCT03375177</subject><subject>Neurology</subject><subject>Neuroradiology</subject><subject>Neurosciences</subject><subject>Original Communication</subject><subject>Registries</subject><subject>Regression analysis</subject><subject>Risk factors</subject><subject>Spinal cord</subject><issn>0340-5354</issn><issn>1432-1459</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kc-OFCEYxInRuOPqC3gwJF68oB8N3T14m2zWP8kaE6NnwsBHD2s3rNA9m3kGX1pmZ9XEgxc41K-qCEXIcw6vOUD_pgBI3jJoOOPQK87kA7LiUjSMy1Y9JCsQElgrWnlGnpRyDQDrKjwmZ0JKxSV0K_JzY-0yLaOZwx5pDuU7TZ7aMcRgzUhxj3GmIdJdGHbsTs7GhTSm4aiPBxpKqmZ0tByiy2nCI73JQ_WFaN5SZ2ZDfRXovEMaa0-Kt8HVLhxCmfOBfsER9yZffnpKHnkzFnx2f5-Tb-8uv158YFef33-82FwxK_p2ZsqqzvTYeSGshR5AeOvQd1th6ieYRsnObZ2QrnIWlFccWjQGG2vXaKQX5-TVKfcmpx8LlllPoVgcRxMxLUU3bQ8c1mvVV_TlP-h1WnKsr9NNJ3mn6ikq1Zwom1MpGb2-yWEy-aA56ONU-jSVrlPpu6m0rKYX99HLdkL3x_J7mwqIE1CqFAfMf7v_E_sLUGehmw</recordid><startdate>20220401</startdate><enddate>20220401</enddate><creator>Rojas, Juan I.</creator><creator>Pappolla, Agustín</creator><creator>Blaya, Patricio</creator><creator>Marrodán, Mariano</creator><creator>Ysrraelit, María C.</creator><creator>Luetic, Geraldine</creator><creator>Liwacki, Susana</creator><creator>Barboza, Andrés</creator><creator>Burgos, Marcos</creator><creator>Cohen, Leila</creator><creator>Mainella, Carolina</creator><creator>Zanga, Gisela</creator><creator>Menichini, María L.</creator><creator>Tavolini, Dario</creator><creator>Tkachuk, Verónica</creator><creator>Lopez, Pablo</creator><creator>Lequizamon, Felisa</creator><creator>Knorre, Eduardo</creator><creator>Nofal, Pedro</creator><creator>Patrucco, Liliana</creator><creator>Miguez, Jimena</creator><creator>Cristiano, Edgardo</creator><creator>Fiol, Marcela</creator><creator>Correale, Jorge</creator><creator>Gaitán, María I.</creator><creator>Alonso, Ricardo</creator><creator>Silva, Berenice</creator><creator>Garcea, Orlando</creator><creator>Carrá, Adriana</creator><creator>Fernandez Liguori, Nora</creator><creator>Alonso Serena, Marina</creator><creator>Carnero Contentti, Edgar</creator><general>Springer Berlin Heidelberg</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>7TK</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>20220401</creationdate><title>Accumulative risk of clinical event in high-risk radiologically isolated syndrome in Argentina: data from the nationwide registry RelevarEM</title><author>Rojas, Juan I. ; Pappolla, Agustín ; Blaya, Patricio ; Marrodán, Mariano ; Ysrraelit, María C. ; Luetic, Geraldine ; Liwacki, Susana ; Barboza, Andrés ; Burgos, Marcos ; Cohen, Leila ; Mainella, Carolina ; Zanga, Gisela ; Menichini, María L. ; Tavolini, Dario ; Tkachuk, Verónica ; Lopez, Pablo ; Lequizamon, Felisa ; Knorre, Eduardo ; Nofal, Pedro ; Patrucco, Liliana ; Miguez, Jimena ; Cristiano, Edgardo ; Fiol, Marcela ; Correale, Jorge ; Gaitán, María I. ; Alonso, Ricardo ; Silva, Berenice ; Garcea, Orlando ; Carrá, Adriana ; Fernandez Liguori, Nora ; Alonso Serena, Marina ; Carnero Contentti, Edgar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-9c96a7e6f33cc07003fcdef6b3a791a2946dbd34dc96c09f9105eaae2cc8ea4f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Argentina - epidemiology</topic><topic>Demyelinating Diseases - diagnosis</topic><topic>Disease Progression</topic><topic>Humans</topic><topic>Lesions</topic><topic>Magnetic Resonance Imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Multiple Sclerosis - diagnostic imaging</topic><topic>Multiple Sclerosis - epidemiology</topic><topic>NCT</topic><topic>NCT03375177</topic><topic>Neurology</topic><topic>Neuroradiology</topic><topic>Neurosciences</topic><topic>Original Communication</topic><topic>Registries</topic><topic>Regression analysis</topic><topic>Risk factors</topic><topic>Spinal cord</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rojas, Juan I.</creatorcontrib><creatorcontrib>Pappolla, Agustín</creatorcontrib><creatorcontrib>Blaya, Patricio</creatorcontrib><creatorcontrib>Marrodán, Mariano</creatorcontrib><creatorcontrib>Ysrraelit, María C.</creatorcontrib><creatorcontrib>Luetic, Geraldine</creatorcontrib><creatorcontrib>Liwacki, Susana</creatorcontrib><creatorcontrib>Barboza, Andrés</creatorcontrib><creatorcontrib>Burgos, Marcos</creatorcontrib><creatorcontrib>Cohen, Leila</creatorcontrib><creatorcontrib>Mainella, Carolina</creatorcontrib><creatorcontrib>Zanga, Gisela</creatorcontrib><creatorcontrib>Menichini, María L.</creatorcontrib><creatorcontrib>Tavolini, Dario</creatorcontrib><creatorcontrib>Tkachuk, Verónica</creatorcontrib><creatorcontrib>Lopez, Pablo</creatorcontrib><creatorcontrib>Lequizamon, Felisa</creatorcontrib><creatorcontrib>Knorre, Eduardo</creatorcontrib><creatorcontrib>Nofal, Pedro</creatorcontrib><creatorcontrib>Patrucco, Liliana</creatorcontrib><creatorcontrib>Miguez, Jimena</creatorcontrib><creatorcontrib>Cristiano, Edgardo</creatorcontrib><creatorcontrib>Fiol, Marcela</creatorcontrib><creatorcontrib>Correale, Jorge</creatorcontrib><creatorcontrib>Gaitán, María I.</creatorcontrib><creatorcontrib>Alonso, Ricardo</creatorcontrib><creatorcontrib>Silva, Berenice</creatorcontrib><creatorcontrib>Garcea, Orlando</creatorcontrib><creatorcontrib>Carrá, Adriana</creatorcontrib><creatorcontrib>Fernandez Liguori, Nora</creatorcontrib><creatorcontrib>Alonso Serena, Marina</creatorcontrib><creatorcontrib>Carnero Contentti, Edgar</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>Neurosciences Abstracts</collection><collection>ProQuest Health and Medical</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)</collection><collection>ProQuest Central</collection><collection>AUTh Library subscriptions: 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>Journal of neurology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rojas, Juan I.</au><au>Pappolla, Agustín</au><au>Blaya, Patricio</au><au>Marrodán, Mariano</au><au>Ysrraelit, María C.</au><au>Luetic, Geraldine</au><au>Liwacki, Susana</au><au>Barboza, Andrés</au><au>Burgos, Marcos</au><au>Cohen, Leila</au><au>Mainella, Carolina</au><au>Zanga, Gisela</au><au>Menichini, María L.</au><au>Tavolini, Dario</au><au>Tkachuk, Verónica</au><au>Lopez, Pablo</au><au>Lequizamon, Felisa</au><au>Knorre, Eduardo</au><au>Nofal, Pedro</au><au>Patrucco, Liliana</au><au>Miguez, Jimena</au><au>Cristiano, Edgardo</au><au>Fiol, Marcela</au><au>Correale, Jorge</au><au>Gaitán, María I.</au><au>Alonso, Ricardo</au><au>Silva, Berenice</au><au>Garcea, Orlando</au><au>Carrá, Adriana</au><au>Fernandez Liguori, Nora</au><au>Alonso Serena, Marina</au><au>Carnero Contentti, Edgar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Accumulative risk of clinical event in high-risk radiologically isolated syndrome in Argentina: data from the nationwide registry RelevarEM</atitle><jtitle>Journal of neurology</jtitle><stitle>J Neurol</stitle><addtitle>J Neurol</addtitle><date>2022-04-01</date><risdate>2022</risdate><volume>269</volume><issue>4</issue><spage>2073</spage><epage>2079</epage><pages>2073-2079</pages><issn>0340-5354</issn><eissn>1432-1459</eissn><abstract>Introduction
We aimed to analyze the accumulative risk of MRI and OB factors for evolution from RIS to MS in subjects included in the Argentinean MS registry (NCT03375177).
Methods
RIS subjects were identified according to RIS diagnosis criteria. Subjects were longitudinally followed with clinical and MRI at intervals of 6 months. Time from RIS identification to the first clinical event was estimated using Kaplan–Meier. Multivariable Cox regression models were created to assess the independent predictive value of demographic characteristics, as well as clinical, OB and MRI data on time to the first clinical event. The single and increased risk factor of evolution of RIS was quantified.
Results
A total of 88 RIS subjects, mean follow-up time 42 ± 4 months were included. 39 (44.3%) and 23 (26.1%) had a new MRI lesion or a clinical event, respectively, during the follow-up. OB (HR 5.9, 95% CI 1.29–10.1,
p
= 0.004), infratentorial lesions (HR 3.7, 95% CI 1.09–7.5) and spinal cord lesions (HR 5.3, 95% CI 1.4–8.2,
p
= 0.01) at RIS identification were independent predictors associated with a subsequent clinical event. The accumulative risk showed that when two of the three factors (OB, infratentorial or spinal cord lesions) were present the HR was 10.4, 95% CI 4.4–22,
p
< 0.001, and when three factors were present, it was HR 15.6, 95% CI 5.7–28,
p
< 0.001 for a relapse.
Conclusion
The presence of three factors significantly increased the risk of clinical event; high-risk subjects should probably be managed by a different approach than those used for individuals without high-risk factors.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>34491406</pmid><doi>10.1007/s00415-021-10791-4</doi><tpages>7</tpages></addata></record> |
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source | Springer Nature |
subjects | Argentina - epidemiology Demyelinating Diseases - diagnosis Disease Progression Humans Lesions Magnetic Resonance Imaging Medicine Medicine & Public Health Multiple Sclerosis - diagnostic imaging Multiple Sclerosis - epidemiology NCT NCT03375177 Neurology Neuroradiology Neurosciences Original Communication Registries Regression analysis Risk factors Spinal cord |
title | Accumulative risk of clinical event in high-risk radiologically isolated syndrome in Argentina: data from the nationwide registry RelevarEM |
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