Latency of poststroke epilepsy can predict drug resistance
Background and Purpose The progressive nature of epileptogenesis raises the question of whether the latent period may already carry information about the characteristics of the subsequent epilepsy. This study aimed to explore whether the time from stroke to epilepsy onset was related to the risk of...
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| Veröffentlicht in: | European journal of neurology 2022-08, Vol.29 (8), p.2481-2485 |
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| container_title | European journal of neurology |
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| creator | Lattanzi, Simona Trinka, Eugen Turcato, Gianni Rinaldi, Claudia Cagnetti, Claudia Foschi, Nicoletta Broggi, Serena Norata, Davide Brigo, Francesco Silvestrini, Mauro |
| description | Background and Purpose
The progressive nature of epileptogenesis raises the question of whether the latent period may already carry information about the characteristics of the subsequent epilepsy. This study aimed to explore whether the time from stroke to epilepsy onset was related to the risk of drug resistance in patients with poststroke epilepsy (PSE).
Methods
Patients with epilepsy secondary to cerebral infarct or spontaneous intracerebral hemorrhage were included. Study outcome was the occurrence of drug resistance defined as failure of adequate trials of two tolerated and appropriately chosen and used antiseizure medication schedules to achieve sustained seizure freedom.
Results
One hundred fifty‐nine patients with PSE and a median follow‐up of 5 (interquartile range [IQR] = 3–9) years were included. In the study cohort, 29 (18.2%) participants were drug resistant. The median length of the time interval between stroke and PSE onset was 13 (IQR = 7–15) months in drug‐resistant patients and 19 (IQR = 14–42) months (p |
| doi_str_mv | 10.1111/ene.15408 |
| format | Article |
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The progressive nature of epileptogenesis raises the question of whether the latent period may already carry information about the characteristics of the subsequent epilepsy. This study aimed to explore whether the time from stroke to epilepsy onset was related to the risk of drug resistance in patients with poststroke epilepsy (PSE).
Methods
Patients with epilepsy secondary to cerebral infarct or spontaneous intracerebral hemorrhage were included. Study outcome was the occurrence of drug resistance defined as failure of adequate trials of two tolerated and appropriately chosen and used antiseizure medication schedules to achieve sustained seizure freedom.
Results
One hundred fifty‐nine patients with PSE and a median follow‐up of 5 (interquartile range [IQR] = 3–9) years were included. In the study cohort, 29 (18.2%) participants were drug resistant. The median length of the time interval between stroke and PSE onset was 13 (IQR = 7–15) months in drug‐resistant patients and 19 (IQR = 14–42) months (p < 0.001) in patients with seizure control. According to multivariable regression analysis, the time from stroke to PSE was an independent predictor of drug resistance (p < 0.001). The risk of drug resistance was highest when the onset of PSE occurred within the first months from stroke and decreased progressively with a steeper decline over the first 12 months.
Conclusions
Substantial variability may exist in the pathways leading to PSE and distinguish patients with a variable risk of drug resistance.</description><identifier>ISSN: 1351-5101</identifier><identifier>EISSN: 1468-1331</identifier><identifier>DOI: 10.1111/ene.15408</identifier><language>eng</language><publisher>Oxford: John Wiley & Sons, Inc</publisher><subject>brain infarct ; cerebral hemorrhage ; Cerebral infarction ; Clinical trials ; Convulsions & seizures ; Drug resistance ; Epilepsy ; Hemorrhage ; Latency ; Latent period ; Multivariable control ; Regression analysis ; Risk ; Seizures ; Stroke</subject><ispartof>European journal of neurology, 2022-08, Vol.29 (8), p.2481-2485</ispartof><rights>2022 The Authors. published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.</rights><rights>2022. This article is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3658-92fdd8d530f23daaa66d41cca8bd651afef5f5386d6ca1b437ff683e180be9813</citedby><cites>FETCH-LOGICAL-c3658-92fdd8d530f23daaa66d41cca8bd651afef5f5386d6ca1b437ff683e180be9813</cites><orcidid>0000-0003-0928-1577 ; 0000-0003-3545-7388 ; 0000-0001-7750-3624 ; 0000-0001-8748-0083</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fene.15408$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fene.15408$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids></links><search><creatorcontrib>Lattanzi, Simona</creatorcontrib><creatorcontrib>Trinka, Eugen</creatorcontrib><creatorcontrib>Turcato, Gianni</creatorcontrib><creatorcontrib>Rinaldi, Claudia</creatorcontrib><creatorcontrib>Cagnetti, Claudia</creatorcontrib><creatorcontrib>Foschi, Nicoletta</creatorcontrib><creatorcontrib>Broggi, Serena</creatorcontrib><creatorcontrib>Norata, Davide</creatorcontrib><creatorcontrib>Brigo, Francesco</creatorcontrib><creatorcontrib>Silvestrini, Mauro</creatorcontrib><title>Latency of poststroke epilepsy can predict drug resistance</title><title>European journal of neurology</title><description>Background and Purpose
The progressive nature of epileptogenesis raises the question of whether the latent period may already carry information about the characteristics of the subsequent epilepsy. This study aimed to explore whether the time from stroke to epilepsy onset was related to the risk of drug resistance in patients with poststroke epilepsy (PSE).
Methods
Patients with epilepsy secondary to cerebral infarct or spontaneous intracerebral hemorrhage were included. Study outcome was the occurrence of drug resistance defined as failure of adequate trials of two tolerated and appropriately chosen and used antiseizure medication schedules to achieve sustained seizure freedom.
Results
One hundred fifty‐nine patients with PSE and a median follow‐up of 5 (interquartile range [IQR] = 3–9) years were included. In the study cohort, 29 (18.2%) participants were drug resistant. The median length of the time interval between stroke and PSE onset was 13 (IQR = 7–15) months in drug‐resistant patients and 19 (IQR = 14–42) months (p < 0.001) in patients with seizure control. According to multivariable regression analysis, the time from stroke to PSE was an independent predictor of drug resistance (p < 0.001). The risk of drug resistance was highest when the onset of PSE occurred within the first months from stroke and decreased progressively with a steeper decline over the first 12 months.
Conclusions
Substantial variability may exist in the pathways leading to PSE and distinguish patients with a variable risk of drug resistance.</description><subject>brain infarct</subject><subject>cerebral hemorrhage</subject><subject>Cerebral infarction</subject><subject>Clinical trials</subject><subject>Convulsions & seizures</subject><subject>Drug resistance</subject><subject>Epilepsy</subject><subject>Hemorrhage</subject><subject>Latency</subject><subject>Latent period</subject><subject>Multivariable control</subject><subject>Regression analysis</subject><subject>Risk</subject><subject>Seizures</subject><subject>Stroke</subject><issn>1351-5101</issn><issn>1468-1331</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><recordid>eNp10D1PwzAQBmALgUQpDPyDSCwwpPXFseuwoap8SBEsMFuufUYpaRLsRCj_HpcwIXHL3fDc6fQScgl0AbGW2OACeE7lEZlBLmQKjMFxnBmHlAOFU3IWwo5Smq0yOiO3pe6xMWPSuqRrQx96335ggl1VYxfGxOgm6TzayvSJ9cN74jFUodeNwXNy4nQd8OK3z8nb_eZ1_ZiWLw9P67syNUxwmRaZs1ZazqjLmNVaC2FzMEbLrRUctEPHHWdSWGE0bHO2ck5IhiDpFgsJbE6up7udbz8HDL3aV8FgXesG2yGoTAjBOZVwoFd_6K4dfBO_i0oWucgKnkV1Mynj2xA8OtX5aq_9qICqQ4oqpqh-Uox2OdmvGMj4P1Sb58208Q0SW3MS</recordid><startdate>202208</startdate><enddate>202208</enddate><creator>Lattanzi, Simona</creator><creator>Trinka, Eugen</creator><creator>Turcato, Gianni</creator><creator>Rinaldi, Claudia</creator><creator>Cagnetti, Claudia</creator><creator>Foschi, Nicoletta</creator><creator>Broggi, Serena</creator><creator>Norata, Davide</creator><creator>Brigo, Francesco</creator><creator>Silvestrini, Mauro</creator><general>John Wiley & Sons, Inc</general><scope>24P</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TK</scope><scope>7U7</scope><scope>C1K</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-0928-1577</orcidid><orcidid>https://orcid.org/0000-0003-3545-7388</orcidid><orcidid>https://orcid.org/0000-0001-7750-3624</orcidid><orcidid>https://orcid.org/0000-0001-8748-0083</orcidid></search><sort><creationdate>202208</creationdate><title>Latency of poststroke epilepsy can predict drug resistance</title><author>Lattanzi, Simona ; Trinka, Eugen ; Turcato, Gianni ; Rinaldi, Claudia ; Cagnetti, Claudia ; Foschi, Nicoletta ; Broggi, Serena ; Norata, Davide ; Brigo, Francesco ; Silvestrini, Mauro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3658-92fdd8d530f23daaa66d41cca8bd651afef5f5386d6ca1b437ff683e180be9813</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>brain infarct</topic><topic>cerebral hemorrhage</topic><topic>Cerebral infarction</topic><topic>Clinical trials</topic><topic>Convulsions & seizures</topic><topic>Drug resistance</topic><topic>Epilepsy</topic><topic>Hemorrhage</topic><topic>Latency</topic><topic>Latent period</topic><topic>Multivariable control</topic><topic>Regression analysis</topic><topic>Risk</topic><topic>Seizures</topic><topic>Stroke</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lattanzi, Simona</creatorcontrib><creatorcontrib>Trinka, Eugen</creatorcontrib><creatorcontrib>Turcato, Gianni</creatorcontrib><creatorcontrib>Rinaldi, Claudia</creatorcontrib><creatorcontrib>Cagnetti, Claudia</creatorcontrib><creatorcontrib>Foschi, Nicoletta</creatorcontrib><creatorcontrib>Broggi, Serena</creatorcontrib><creatorcontrib>Norata, Davide</creatorcontrib><creatorcontrib>Brigo, Francesco</creatorcontrib><creatorcontrib>Silvestrini, Mauro</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of neurology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lattanzi, Simona</au><au>Trinka, Eugen</au><au>Turcato, Gianni</au><au>Rinaldi, Claudia</au><au>Cagnetti, Claudia</au><au>Foschi, Nicoletta</au><au>Broggi, Serena</au><au>Norata, Davide</au><au>Brigo, Francesco</au><au>Silvestrini, Mauro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Latency of poststroke epilepsy can predict drug resistance</atitle><jtitle>European journal of neurology</jtitle><date>2022-08</date><risdate>2022</risdate><volume>29</volume><issue>8</issue><spage>2481</spage><epage>2485</epage><pages>2481-2485</pages><issn>1351-5101</issn><eissn>1468-1331</eissn><abstract>Background and Purpose
The progressive nature of epileptogenesis raises the question of whether the latent period may already carry information about the characteristics of the subsequent epilepsy. This study aimed to explore whether the time from stroke to epilepsy onset was related to the risk of drug resistance in patients with poststroke epilepsy (PSE).
Methods
Patients with epilepsy secondary to cerebral infarct or spontaneous intracerebral hemorrhage were included. Study outcome was the occurrence of drug resistance defined as failure of adequate trials of two tolerated and appropriately chosen and used antiseizure medication schedules to achieve sustained seizure freedom.
Results
One hundred fifty‐nine patients with PSE and a median follow‐up of 5 (interquartile range [IQR] = 3–9) years were included. In the study cohort, 29 (18.2%) participants were drug resistant. The median length of the time interval between stroke and PSE onset was 13 (IQR = 7–15) months in drug‐resistant patients and 19 (IQR = 14–42) months (p < 0.001) in patients with seizure control. According to multivariable regression analysis, the time from stroke to PSE was an independent predictor of drug resistance (p < 0.001). The risk of drug resistance was highest when the onset of PSE occurred within the first months from stroke and decreased progressively with a steeper decline over the first 12 months.
Conclusions
Substantial variability may exist in the pathways leading to PSE and distinguish patients with a variable risk of drug resistance.</abstract><cop>Oxford</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1111/ene.15408</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0003-0928-1577</orcidid><orcidid>https://orcid.org/0000-0003-3545-7388</orcidid><orcidid>https://orcid.org/0000-0001-7750-3624</orcidid><orcidid>https://orcid.org/0000-0001-8748-0083</orcidid><oa>free_for_read</oa></addata></record> |
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| source | Wiley Online Library Journals Frontfile Complete |
| subjects | brain infarct cerebral hemorrhage Cerebral infarction Clinical trials Convulsions & seizures Drug resistance Epilepsy Hemorrhage Latency Latent period Multivariable control Regression analysis Risk Seizures Stroke |
| title | Latency of poststroke epilepsy can predict drug resistance |
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