The impact of the time to last seizure before admission to the epilepsy monitoring unit (EMU) on epilepsy classifications
•Time to last seizure may influence the time to record earlier seizures during the admission to epilepsy monitoring unit (EMU).•Time to last seizure prior to EMU admission appeared to have an impact on epilepsy classifications and length of hospital stay (LOHS).•The utilization of EMU might be enhan...
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| Veröffentlicht in: | Epilepsy & behavior 2023-07, Vol.144, p.109252-109252, Article 109252 |
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| creator | Banjer, Tasneem Attiya, Dania Baeesa, Saleh Al Said, Youssef Babtain, Fawzi |
| description | •Time to last seizure may influence the time to record earlier seizures during the admission to epilepsy monitoring unit (EMU).•Time to last seizure prior to EMU admission appeared to have an impact on epilepsy classifications and length of hospital stay (LOHS).•The utilization of EMU might be enhanced by considering the time to last seizure before admission to EMU.
The impact of the timing of the last seizure (TTLS) prior to admission to the epilepsy monitoring unit (EMU) on epilepsy classification is unclear for which we conducted this study.
We reviewed patients with epilepsy admitted to EMU between January 2021 and April 2022 and identified TTLS before EMU admission. We considered EMU yield as whether; it confirmed epilepsy classification, added new knowledge to the classification, or failed to classify epilepsy.
We studied 156 patients. There were 72 (46%) men, with a mean age of 30. TTLS was divided according to a one- or three-month cutoff. We confirmed the pre-EMU epilepsy classification in 52 (33%) patients, learned new findings on epilepsy classification in 80 (51%) patients, and failed to classify epilepsy in 24 (15%) patients. Patients with “confirmed epilepsy classifications” reported seizures sooner to EMU admission than other groups (0.7 vs. 2.3 months, p-value = 0.02, 95% CI; −1.8, −1.3). Also, the odds of confirming epilepsy classification were more than two times in patients with TTLS within a month compared to those with TTLS of more than a month (OR = 2.4, p-value = 0.04, 95% CI; 1.1, 5.9). The odds were also higher when the 3-month TTLS cutoff was considered (OR = 6.2, p-value = 0.002, 95% CI; 1.6, 40.2). Confirming epilepsy classification was also associated with earlier seizures recorded at one- or three-month cutoff (OR = 2.1 and OR = 2.3, respectively, p-value = 0.05). We did not observe similar findings when we modified the classification or failed to reach a classification.
The timing of the last seizure before EMU admission appeared to influence the yield of EMU and enhanced the confirmation of epilepsy classifications. Such findings can improve the utilization of EMU in the presurgical evaluation of patients with epilepsy. |
| doi_str_mv | 10.1016/j.yebeh.2023.109252 |
| format | Article |
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The impact of the timing of the last seizure (TTLS) prior to admission to the epilepsy monitoring unit (EMU) on epilepsy classification is unclear for which we conducted this study.
We reviewed patients with epilepsy admitted to EMU between January 2021 and April 2022 and identified TTLS before EMU admission. We considered EMU yield as whether; it confirmed epilepsy classification, added new knowledge to the classification, or failed to classify epilepsy.
We studied 156 patients. There were 72 (46%) men, with a mean age of 30. TTLS was divided according to a one- or three-month cutoff. We confirmed the pre-EMU epilepsy classification in 52 (33%) patients, learned new findings on epilepsy classification in 80 (51%) patients, and failed to classify epilepsy in 24 (15%) patients. Patients with “confirmed epilepsy classifications” reported seizures sooner to EMU admission than other groups (0.7 vs. 2.3 months, p-value = 0.02, 95% CI; −1.8, −1.3). Also, the odds of confirming epilepsy classification were more than two times in patients with TTLS within a month compared to those with TTLS of more than a month (OR = 2.4, p-value = 0.04, 95% CI; 1.1, 5.9). The odds were also higher when the 3-month TTLS cutoff was considered (OR = 6.2, p-value = 0.002, 95% CI; 1.6, 40.2). Confirming epilepsy classification was also associated with earlier seizures recorded at one- or three-month cutoff (OR = 2.1 and OR = 2.3, respectively, p-value = 0.05). We did not observe similar findings when we modified the classification or failed to reach a classification.
The timing of the last seizure before EMU admission appeared to influence the yield of EMU and enhanced the confirmation of epilepsy classifications. Such findings can improve the utilization of EMU in the presurgical evaluation of patients with epilepsy.</description><identifier>ISSN: 1525-5050</identifier><identifier>EISSN: 1525-5069</identifier><identifier>DOI: 10.1016/j.yebeh.2023.109252</identifier><identifier>PMID: 37207403</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adult ; Animals ; Dromaiidae ; Electroencephalography ; Epilepsy - complications ; Epilepsy - diagnosis ; Epilepsy - surgery ; Epilepsy classifications ; Epilepsy monitoring unit ; Female ; Humans ; Length of hospital stay ; Male ; Monitoring, Physiologic ; Retrospective Studies ; Seizures - diagnosis ; Time to first seizure ; Time to last seizure</subject><ispartof>Epilepsy & behavior, 2023-07, Vol.144, p.109252-109252, Article 109252</ispartof><rights>2023 Elsevier Inc.</rights><rights>Copyright © 2023 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c309t-5bd22dfcbd78f806c4b29dc45defd00a670d00c66677da026549febcbe08c06e3</cites><orcidid>0000-0002-2197-5144 ; 0000-0002-3053-7912</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.yebeh.2023.109252$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37207403$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Banjer, Tasneem</creatorcontrib><creatorcontrib>Attiya, Dania</creatorcontrib><creatorcontrib>Baeesa, Saleh</creatorcontrib><creatorcontrib>Al Said, Youssef</creatorcontrib><creatorcontrib>Babtain, Fawzi</creatorcontrib><title>The impact of the time to last seizure before admission to the epilepsy monitoring unit (EMU) on epilepsy classifications</title><title>Epilepsy & behavior</title><addtitle>Epilepsy Behav</addtitle><description>•Time to last seizure may influence the time to record earlier seizures during the admission to epilepsy monitoring unit (EMU).•Time to last seizure prior to EMU admission appeared to have an impact on epilepsy classifications and length of hospital stay (LOHS).•The utilization of EMU might be enhanced by considering the time to last seizure before admission to EMU.
The impact of the timing of the last seizure (TTLS) prior to admission to the epilepsy monitoring unit (EMU) on epilepsy classification is unclear for which we conducted this study.
We reviewed patients with epilepsy admitted to EMU between January 2021 and April 2022 and identified TTLS before EMU admission. We considered EMU yield as whether; it confirmed epilepsy classification, added new knowledge to the classification, or failed to classify epilepsy.
We studied 156 patients. There were 72 (46%) men, with a mean age of 30. TTLS was divided according to a one- or three-month cutoff. We confirmed the pre-EMU epilepsy classification in 52 (33%) patients, learned new findings on epilepsy classification in 80 (51%) patients, and failed to classify epilepsy in 24 (15%) patients. Patients with “confirmed epilepsy classifications” reported seizures sooner to EMU admission than other groups (0.7 vs. 2.3 months, p-value = 0.02, 95% CI; −1.8, −1.3). Also, the odds of confirming epilepsy classification were more than two times in patients with TTLS within a month compared to those with TTLS of more than a month (OR = 2.4, p-value = 0.04, 95% CI; 1.1, 5.9). The odds were also higher when the 3-month TTLS cutoff was considered (OR = 6.2, p-value = 0.002, 95% CI; 1.6, 40.2). Confirming epilepsy classification was also associated with earlier seizures recorded at one- or three-month cutoff (OR = 2.1 and OR = 2.3, respectively, p-value = 0.05). We did not observe similar findings when we modified the classification or failed to reach a classification.
The timing of the last seizure before EMU admission appeared to influence the yield of EMU and enhanced the confirmation of epilepsy classifications. Such findings can improve the utilization of EMU in the presurgical evaluation of patients with epilepsy.</description><subject>Adult</subject><subject>Animals</subject><subject>Dromaiidae</subject><subject>Electroencephalography</subject><subject>Epilepsy - complications</subject><subject>Epilepsy - diagnosis</subject><subject>Epilepsy - surgery</subject><subject>Epilepsy classifications</subject><subject>Epilepsy monitoring unit</subject><subject>Female</subject><subject>Humans</subject><subject>Length of hospital stay</subject><subject>Male</subject><subject>Monitoring, Physiologic</subject><subject>Retrospective Studies</subject><subject>Seizures - diagnosis</subject><subject>Time to first seizure</subject><subject>Time to last seizure</subject><issn>1525-5050</issn><issn>1525-5069</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1P3DAQhq2qqHy0vwCp8pEedjt21k5y4FAhviQqLnC2HHsMXiVxsB2k5dfXy9I9cvE7Yz3zjuYl5JTBkgGTv9fLDXb4vOTAq_LTcsG_kCMmuFgIkO3XfS3gkByntAZgTFTsGzmsag71Cqojsnl4RuqHSZtMg6O5dNkP5Qm01ynThP5tjkg7dKGItoNPyYdxC2xhnHyPU9rQIYw-h-jHJzqXip5d_n38RQu4J0wxTN55o3MxSN_JgdN9wh8fekIery4fLm4Wd_fXtxd_7hamgjYvRGc5t850tm5cA9KsOt5asxIWnQXQsoYiRkpZ11YDl2LVOuxMh9AYkFidkLOd7xTDy4wpq3KCwb7XI4Y5Kd4wWcsGBC9otUNNDClFdGqKftBxoxiobeZqrd4zV9vM1S7zMvXzY8HcDWj3M_9DLsD5DsBy5qvHqJLxOBq0PqLJygb_6YJ_vXyVXA</recordid><startdate>202307</startdate><enddate>202307</enddate><creator>Banjer, Tasneem</creator><creator>Attiya, Dania</creator><creator>Baeesa, Saleh</creator><creator>Al Said, Youssef</creator><creator>Babtain, Fawzi</creator><general>Elsevier Inc</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>7X8</scope><orcidid>https://orcid.org/0000-0002-2197-5144</orcidid><orcidid>https://orcid.org/0000-0002-3053-7912</orcidid></search><sort><creationdate>202307</creationdate><title>The impact of the time to last seizure before admission to the epilepsy monitoring unit (EMU) on epilepsy classifications</title><author>Banjer, Tasneem ; Attiya, Dania ; Baeesa, Saleh ; Al Said, Youssef ; Babtain, Fawzi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c309t-5bd22dfcbd78f806c4b29dc45defd00a670d00c66677da026549febcbe08c06e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adult</topic><topic>Animals</topic><topic>Dromaiidae</topic><topic>Electroencephalography</topic><topic>Epilepsy - complications</topic><topic>Epilepsy - diagnosis</topic><topic>Epilepsy - surgery</topic><topic>Epilepsy classifications</topic><topic>Epilepsy monitoring unit</topic><topic>Female</topic><topic>Humans</topic><topic>Length of hospital stay</topic><topic>Male</topic><topic>Monitoring, Physiologic</topic><topic>Retrospective Studies</topic><topic>Seizures - diagnosis</topic><topic>Time to first seizure</topic><topic>Time to last seizure</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Banjer, Tasneem</creatorcontrib><creatorcontrib>Attiya, Dania</creatorcontrib><creatorcontrib>Baeesa, Saleh</creatorcontrib><creatorcontrib>Al Said, Youssef</creatorcontrib><creatorcontrib>Babtain, Fawzi</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Epilepsy & behavior</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Banjer, Tasneem</au><au>Attiya, Dania</au><au>Baeesa, Saleh</au><au>Al Said, Youssef</au><au>Babtain, Fawzi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The impact of the time to last seizure before admission to the epilepsy monitoring unit (EMU) on epilepsy classifications</atitle><jtitle>Epilepsy & behavior</jtitle><addtitle>Epilepsy Behav</addtitle><date>2023-07</date><risdate>2023</risdate><volume>144</volume><spage>109252</spage><epage>109252</epage><pages>109252-109252</pages><artnum>109252</artnum><issn>1525-5050</issn><eissn>1525-5069</eissn><abstract>•Time to last seizure may influence the time to record earlier seizures during the admission to epilepsy monitoring unit (EMU).•Time to last seizure prior to EMU admission appeared to have an impact on epilepsy classifications and length of hospital stay (LOHS).•The utilization of EMU might be enhanced by considering the time to last seizure before admission to EMU.
The impact of the timing of the last seizure (TTLS) prior to admission to the epilepsy monitoring unit (EMU) on epilepsy classification is unclear for which we conducted this study.
We reviewed patients with epilepsy admitted to EMU between January 2021 and April 2022 and identified TTLS before EMU admission. We considered EMU yield as whether; it confirmed epilepsy classification, added new knowledge to the classification, or failed to classify epilepsy.
We studied 156 patients. There were 72 (46%) men, with a mean age of 30. TTLS was divided according to a one- or three-month cutoff. We confirmed the pre-EMU epilepsy classification in 52 (33%) patients, learned new findings on epilepsy classification in 80 (51%) patients, and failed to classify epilepsy in 24 (15%) patients. Patients with “confirmed epilepsy classifications” reported seizures sooner to EMU admission than other groups (0.7 vs. 2.3 months, p-value = 0.02, 95% CI; −1.8, −1.3). Also, the odds of confirming epilepsy classification were more than two times in patients with TTLS within a month compared to those with TTLS of more than a month (OR = 2.4, p-value = 0.04, 95% CI; 1.1, 5.9). The odds were also higher when the 3-month TTLS cutoff was considered (OR = 6.2, p-value = 0.002, 95% CI; 1.6, 40.2). Confirming epilepsy classification was also associated with earlier seizures recorded at one- or three-month cutoff (OR = 2.1 and OR = 2.3, respectively, p-value = 0.05). We did not observe similar findings when we modified the classification or failed to reach a classification.
The timing of the last seizure before EMU admission appeared to influence the yield of EMU and enhanced the confirmation of epilepsy classifications. Such findings can improve the utilization of EMU in the presurgical evaluation of patients with epilepsy.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>37207403</pmid><doi>10.1016/j.yebeh.2023.109252</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-2197-5144</orcidid><orcidid>https://orcid.org/0000-0002-3053-7912</orcidid></addata></record> |
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| ispartof | Epilepsy & behavior, 2023-07, Vol.144, p.109252-109252, Article 109252 |
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| language | eng |
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| source | MEDLINE; Access via ScienceDirect (Elsevier) |
| subjects | Adult Animals Dromaiidae Electroencephalography Epilepsy - complications Epilepsy - diagnosis Epilepsy - surgery Epilepsy classifications Epilepsy monitoring unit Female Humans Length of hospital stay Male Monitoring, Physiologic Retrospective Studies Seizures - diagnosis Time to first seizure Time to last seizure |
| title | The impact of the time to last seizure before admission to the epilepsy monitoring unit (EMU) on epilepsy classifications |
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