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Identification of risk for severe psychiatric comorbidity in pediatric epilepsy
Summary Objective This study identified items on the Child Behavior Checklist (CBCL) that predict those children and adolescents with epilepsy at highest risk for multiple psychiatric diagnoses. Methods Three hundred twenty‐eight children, ages 5–18 years, and their parents participated in separate...
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| Published in: | Epilepsia (Copenhagen) 2016-11, Vol.57 (11), p.1817-1825 |
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| Main Authors: | , , , , , |
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| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c4435-218a0189c46b606555171642ce6a83e21dfaa2605f8bf2d0048246ba08cf31583 |
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| cites | cdi_FETCH-LOGICAL-c4435-218a0189c46b606555171642ce6a83e21dfaa2605f8bf2d0048246ba08cf31583 |
| container_end_page | 1825 |
| container_issue | 11 |
| container_start_page | 1817 |
| container_title | Epilepsia (Copenhagen) |
| container_volume | 57 |
| creator | Jones, Jana E. Siddarth, Prabha Almane, Dace Gurbani, Suresh Hermann, Bruce P. Caplan, Rochelle |
| description | Summary
Objective
This study identified items on the Child Behavior Checklist (CBCL) that predict those children and adolescents with epilepsy at highest risk for multiple psychiatric diagnoses.
Methods
Three hundred twenty‐eight children, ages 5–18 years, and their parents participated in separate structured psychiatric interviews about the children, which yielded Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition Text Revision (DSM‐IV‐TR) diagnoses. Parents completed the CBCL. The sample was divided into a younger (≤12 years, n = 214) group and an older (>12–18 years, n = 114) group. This study identified a reduced set of parent‐reported CBCL items associated with Multiple Diagnoses versus Single Diagnosis versus No Diagnosis using chi‐square tests and stepwise logistic regression. We then performed a generalized logistic regression with Multiple Diagnoses versus Single Diagnosis versus No Diagnosis as the dependent variable and the reduced CBCL set of items as predictors. We calculated the area under the ROC (receiver operating characteristic) curve (AUC) as a measure of diagnostic accuracy for pairwise comparisons.
Results
For the younger group, seven items (clingy, cruelty/bullying, perfectionist, nervous, poor school work, inattentive, and sulks) had high diagnostic accuracy (AUC = 0.88), and for the older group, three items (disobedient at school, loner, and lies/cheats) had high accuracy (AUC = 0.91) when comparing children with multiple psychiatric diagnoses to children with no diagnosis. For both age groups, there was less diagnostic accuracy in identifying children with a single versus no diagnosis (AUC = 0.75 [young]; 0.70 [older]).
Significance
These findings suggest that responses to these two subsets of parent‐reported CBCL items should alert clinicians to children and adolescents with epilepsy at risk for multiple psychiatric diagnoses and in need of a psychiatric referral. |
| doi_str_mv | 10.1111/epi.13575 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5868343</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1835411587</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4435-218a0189c46b606555171642ce6a83e21dfaa2605f8bf2d0048246ba08cf31583</originalsourceid><addsrcrecordid>eNp1kUtLAzEUhYMoWh8L_4AMuNHF2Nxk8nAjiPgoCLrQdUgziUankzGZVvrvjbYWFczmQu7Huefeg9A-4BPIb2g7fwKUCbaGBsCILAG4WEcDjIGWp0ziLbSd0gvGWHBBN9EWEYLmfxigu1Ft2947b3TvQ1sEV0SfXgsXYpHszEZbdGlunr3uozeFCZMQx772_bzwbdHZetnIFhqbyV204XST7N6y7qDHq8uHi5vy9u56dHF-W5qqoqwkIDUGeWoqPuaYM8ZAAK-IsVxLagnUTmvCMXNy7EiNcSVJRjWWxlFgku6gs4VuNx1PbG3yElE3qot-ouNcBe3V707rn9VTmCkmuaQVzQJHS4EY3qY29Wrik7FNo1sbpkmBpKyCPEpk9PAP-hKmsc3rfVKCUQDCMnW8oEwMKUXrVmYAq8-YVL6R-oopswc_3a_I71wyMFwA7_ms8_-V1OX9aCH5AYk6nFs</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1837531125</pqid></control><display><type>article</type><title>Identification of risk for severe psychiatric comorbidity in pediatric epilepsy</title><source>Wiley</source><creator>Jones, Jana E. ; Siddarth, Prabha ; Almane, Dace ; Gurbani, Suresh ; Hermann, Bruce P. ; Caplan, Rochelle</creator><creatorcontrib>Jones, Jana E. ; Siddarth, Prabha ; Almane, Dace ; Gurbani, Suresh ; Hermann, Bruce P. ; Caplan, Rochelle</creatorcontrib><description>Summary
Objective
This study identified items on the Child Behavior Checklist (CBCL) that predict those children and adolescents with epilepsy at highest risk for multiple psychiatric diagnoses.
Methods
Three hundred twenty‐eight children, ages 5–18 years, and their parents participated in separate structured psychiatric interviews about the children, which yielded Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition Text Revision (DSM‐IV‐TR) diagnoses. Parents completed the CBCL. The sample was divided into a younger (≤12 years, n = 214) group and an older (>12–18 years, n = 114) group. This study identified a reduced set of parent‐reported CBCL items associated with Multiple Diagnoses versus Single Diagnosis versus No Diagnosis using chi‐square tests and stepwise logistic regression. We then performed a generalized logistic regression with Multiple Diagnoses versus Single Diagnosis versus No Diagnosis as the dependent variable and the reduced CBCL set of items as predictors. We calculated the area under the ROC (receiver operating characteristic) curve (AUC) as a measure of diagnostic accuracy for pairwise comparisons.
Results
For the younger group, seven items (clingy, cruelty/bullying, perfectionist, nervous, poor school work, inattentive, and sulks) had high diagnostic accuracy (AUC = 0.88), and for the older group, three items (disobedient at school, loner, and lies/cheats) had high accuracy (AUC = 0.91) when comparing children with multiple psychiatric diagnoses to children with no diagnosis. For both age groups, there was less diagnostic accuracy in identifying children with a single versus no diagnosis (AUC = 0.75 [young]; 0.70 [older]).
Significance
These findings suggest that responses to these two subsets of parent‐reported CBCL items should alert clinicians to children and adolescents with epilepsy at risk for multiple psychiatric diagnoses and in need of a psychiatric referral.</description><identifier>ISSN: 0013-9580</identifier><identifier>EISSN: 1528-1167</identifier><identifier>DOI: 10.1111/epi.13575</identifier><identifier>PMID: 27739581</identifier><identifier>CODEN: EPILAK</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Accuracy ; Adolescent ; Checklist ; Child ; Child, Preschool ; Cognition Disorders - epidemiology ; Comorbidity ; Electroencephalography ; Epilepsy ; Epilepsy - epidemiology ; Female ; Humans ; Male ; Mental Disorders - diagnosis ; Mental Disorders - epidemiology ; Pediatric epilepsy ; Psychiatric disorders ; Risk ; Risk factors ; ROC Curve ; Screening ; Surveys and Questionnaires</subject><ispartof>Epilepsia (Copenhagen), 2016-11, Vol.57 (11), p.1817-1825</ispartof><rights>Wiley Periodicals, Inc. © 2016 International League Against Epilepsy</rights><rights>Wiley Periodicals, Inc. © 2016 International League Against Epilepsy.</rights><rights>Copyright © 2016 International League Against Epilepsy</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4435-218a0189c46b606555171642ce6a83e21dfaa2605f8bf2d0048246ba08cf31583</citedby><cites>FETCH-LOGICAL-c4435-218a0189c46b606555171642ce6a83e21dfaa2605f8bf2d0048246ba08cf31583</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fepi.13575$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fepi.13575$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,315,786,790,891,27957,27958,50923,51032</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27739581$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jones, Jana E.</creatorcontrib><creatorcontrib>Siddarth, Prabha</creatorcontrib><creatorcontrib>Almane, Dace</creatorcontrib><creatorcontrib>Gurbani, Suresh</creatorcontrib><creatorcontrib>Hermann, Bruce P.</creatorcontrib><creatorcontrib>Caplan, Rochelle</creatorcontrib><title>Identification of risk for severe psychiatric comorbidity in pediatric epilepsy</title><title>Epilepsia (Copenhagen)</title><addtitle>Epilepsia</addtitle><description>Summary
Objective
This study identified items on the Child Behavior Checklist (CBCL) that predict those children and adolescents with epilepsy at highest risk for multiple psychiatric diagnoses.
Methods
Three hundred twenty‐eight children, ages 5–18 years, and their parents participated in separate structured psychiatric interviews about the children, which yielded Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition Text Revision (DSM‐IV‐TR) diagnoses. Parents completed the CBCL. The sample was divided into a younger (≤12 years, n = 214) group and an older (>12–18 years, n = 114) group. This study identified a reduced set of parent‐reported CBCL items associated with Multiple Diagnoses versus Single Diagnosis versus No Diagnosis using chi‐square tests and stepwise logistic regression. We then performed a generalized logistic regression with Multiple Diagnoses versus Single Diagnosis versus No Diagnosis as the dependent variable and the reduced CBCL set of items as predictors. We calculated the area under the ROC (receiver operating characteristic) curve (AUC) as a measure of diagnostic accuracy for pairwise comparisons.
Results
For the younger group, seven items (clingy, cruelty/bullying, perfectionist, nervous, poor school work, inattentive, and sulks) had high diagnostic accuracy (AUC = 0.88), and for the older group, three items (disobedient at school, loner, and lies/cheats) had high accuracy (AUC = 0.91) when comparing children with multiple psychiatric diagnoses to children with no diagnosis. For both age groups, there was less diagnostic accuracy in identifying children with a single versus no diagnosis (AUC = 0.75 [young]; 0.70 [older]).
Significance
These findings suggest that responses to these two subsets of parent‐reported CBCL items should alert clinicians to children and adolescents with epilepsy at risk for multiple psychiatric diagnoses and in need of a psychiatric referral.</description><subject>Accuracy</subject><subject>Adolescent</subject><subject>Checklist</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Cognition Disorders - epidemiology</subject><subject>Comorbidity</subject><subject>Electroencephalography</subject><subject>Epilepsy</subject><subject>Epilepsy - epidemiology</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Mental Disorders - diagnosis</subject><subject>Mental Disorders - epidemiology</subject><subject>Pediatric epilepsy</subject><subject>Psychiatric disorders</subject><subject>Risk</subject><subject>Risk factors</subject><subject>ROC Curve</subject><subject>Screening</subject><subject>Surveys and Questionnaires</subject><issn>0013-9580</issn><issn>1528-1167</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp1kUtLAzEUhYMoWh8L_4AMuNHF2Nxk8nAjiPgoCLrQdUgziUankzGZVvrvjbYWFczmQu7Huefeg9A-4BPIb2g7fwKUCbaGBsCILAG4WEcDjIGWp0ziLbSd0gvGWHBBN9EWEYLmfxigu1Ft2947b3TvQ1sEV0SfXgsXYpHszEZbdGlunr3uozeFCZMQx772_bzwbdHZetnIFhqbyV204XST7N6y7qDHq8uHi5vy9u56dHF-W5qqoqwkIDUGeWoqPuaYM8ZAAK-IsVxLagnUTmvCMXNy7EiNcSVJRjWWxlFgku6gs4VuNx1PbG3yElE3qot-ouNcBe3V707rn9VTmCkmuaQVzQJHS4EY3qY29Wrik7FNo1sbpkmBpKyCPEpk9PAP-hKmsc3rfVKCUQDCMnW8oEwMKUXrVmYAq8-YVL6R-oopswc_3a_I71wyMFwA7_ms8_-V1OX9aCH5AYk6nFs</recordid><startdate>201611</startdate><enddate>201611</enddate><creator>Jones, Jana E.</creator><creator>Siddarth, Prabha</creator><creator>Almane, Dace</creator><creator>Gurbani, Suresh</creator><creator>Hermann, Bruce P.</creator><creator>Caplan, Rochelle</creator><general>Wiley Subscription Services, 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>7TK</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201611</creationdate><title>Identification of risk for severe psychiatric comorbidity in pediatric epilepsy</title><author>Jones, Jana E. ; Siddarth, Prabha ; Almane, Dace ; Gurbani, Suresh ; Hermann, Bruce P. ; Caplan, Rochelle</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4435-218a0189c46b606555171642ce6a83e21dfaa2605f8bf2d0048246ba08cf31583</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Accuracy</topic><topic>Adolescent</topic><topic>Checklist</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Cognition Disorders - epidemiology</topic><topic>Comorbidity</topic><topic>Electroencephalography</topic><topic>Epilepsy</topic><topic>Epilepsy - epidemiology</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Mental Disorders - diagnosis</topic><topic>Mental Disorders - epidemiology</topic><topic>Pediatric epilepsy</topic><topic>Psychiatric disorders</topic><topic>Risk</topic><topic>Risk factors</topic><topic>ROC Curve</topic><topic>Screening</topic><topic>Surveys and Questionnaires</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jones, Jana E.</creatorcontrib><creatorcontrib>Siddarth, Prabha</creatorcontrib><creatorcontrib>Almane, Dace</creatorcontrib><creatorcontrib>Gurbani, Suresh</creatorcontrib><creatorcontrib>Hermann, Bruce P.</creatorcontrib><creatorcontrib>Caplan, Rochelle</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Epilepsia (Copenhagen)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jones, Jana E.</au><au>Siddarth, Prabha</au><au>Almane, Dace</au><au>Gurbani, Suresh</au><au>Hermann, Bruce P.</au><au>Caplan, Rochelle</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of risk for severe psychiatric comorbidity in pediatric epilepsy</atitle><jtitle>Epilepsia (Copenhagen)</jtitle><addtitle>Epilepsia</addtitle><date>2016-11</date><risdate>2016</risdate><volume>57</volume><issue>11</issue><spage>1817</spage><epage>1825</epage><pages>1817-1825</pages><issn>0013-9580</issn><eissn>1528-1167</eissn><coden>EPILAK</coden><notes>ObjectType-Article-1</notes><notes>SourceType-Scholarly Journals-1</notes><notes>ObjectType-Feature-2</notes><notes>content type line 23</notes><abstract>Summary
Objective
This study identified items on the Child Behavior Checklist (CBCL) that predict those children and adolescents with epilepsy at highest risk for multiple psychiatric diagnoses.
Methods
Three hundred twenty‐eight children, ages 5–18 years, and their parents participated in separate structured psychiatric interviews about the children, which yielded Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition Text Revision (DSM‐IV‐TR) diagnoses. Parents completed the CBCL. The sample was divided into a younger (≤12 years, n = 214) group and an older (>12–18 years, n = 114) group. This study identified a reduced set of parent‐reported CBCL items associated with Multiple Diagnoses versus Single Diagnosis versus No Diagnosis using chi‐square tests and stepwise logistic regression. We then performed a generalized logistic regression with Multiple Diagnoses versus Single Diagnosis versus No Diagnosis as the dependent variable and the reduced CBCL set of items as predictors. We calculated the area under the ROC (receiver operating characteristic) curve (AUC) as a measure of diagnostic accuracy for pairwise comparisons.
Results
For the younger group, seven items (clingy, cruelty/bullying, perfectionist, nervous, poor school work, inattentive, and sulks) had high diagnostic accuracy (AUC = 0.88), and for the older group, three items (disobedient at school, loner, and lies/cheats) had high accuracy (AUC = 0.91) when comparing children with multiple psychiatric diagnoses to children with no diagnosis. For both age groups, there was less diagnostic accuracy in identifying children with a single versus no diagnosis (AUC = 0.75 [young]; 0.70 [older]).
Significance
These findings suggest that responses to these two subsets of parent‐reported CBCL items should alert clinicians to children and adolescents with epilepsy at risk for multiple psychiatric diagnoses and in need of a psychiatric referral.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>27739581</pmid><doi>10.1111/epi.13575</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
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| ispartof | Epilepsia (Copenhagen), 2016-11, Vol.57 (11), p.1817-1825 |
| issn | 0013-9580 1528-1167 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5868343 |
| source | Wiley |
| subjects | Accuracy Adolescent Checklist Child Child, Preschool Cognition Disorders - epidemiology Comorbidity Electroencephalography Epilepsy Epilepsy - epidemiology Female Humans Male Mental Disorders - diagnosis Mental Disorders - epidemiology Pediatric epilepsy Psychiatric disorders Risk Risk factors ROC Curve Screening Surveys and Questionnaires |
| title | Identification of risk for severe psychiatric comorbidity in pediatric epilepsy |
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