O6.5. INVESTIGATING VARIABLES FROM THE NAPLS RISK CALCULATOR FOR PSYCHOSIS IN THE EU-GEI HIGH RISK STUDY

Abstract Background Individuals at clinical high risk (CHR) for psychosis have approximately a 25% chance of transitioning to psychosis in the first 2 years after first presentation to clinical services. A key aim in this field is to determine the risk of conversion for an individual meeting the cri...

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Veröffentlicht in:Schizophrenia bulletin 2019-04, Vol.45 (Supplement_2), p.S177-S178
Hauptverfasser: Kempton, Matthew, Valmaggia, Lucia, Calem, Maria, Tognin, Stefania, Modinos, Gemma, Fusar-poli, Paolo, Antoniades, Mathilde, Van der Gaag, Mark, Haan, Lieuwe De, Nelson, Barnaby, Riecher-Rössler, Anita, Bressan, Rodrigo, Barrantes-Vidal, Neus, Krebs, Marie-Odile, Nordentoft, Merete, Ruhrmann, Stephan, Sachs, Gabriele, Rutten, Bart, Os, Jim Van, McGuire, Philip, WP, EU-GEI, Study, High Risk
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container_end_page S178
container_issue Supplement_2
container_start_page S177
container_title Schizophrenia bulletin
container_volume 45
creator Kempton, Matthew
Valmaggia, Lucia
Calem, Maria
Tognin, Stefania
Modinos, Gemma
Fusar-poli, Paolo
Antoniades, Mathilde
Van der Gaag, Mark
Haan, Lieuwe De
Nelson, Barnaby
Riecher-Rössler, Anita
Bressan, Rodrigo
Barrantes-Vidal, Neus
Krebs, Marie-Odile
Nordentoft, Merete
Ruhrmann, Stephan
Sachs, Gabriele
Rutten, Bart
Os, Jim Van
McGuire, Philip
WP, EU-GEI
Study, High Risk
description Abstract Background Individuals at clinical high risk (CHR) for psychosis have approximately a 25% chance of transitioning to psychosis in the first 2 years after first presentation to clinical services. A key aim in this field is to determine the risk of conversion for an individual meeting the criteria for CHR based on clinical, demographic and neuropsychological measures. An individualized risk calculator incorporating 8 risk factors based on these measures has recently been developed by the researchers from the North American Prodrome Longitudinal Study (NAPLS-2) and tested in their dataset of CHR participants. Methods We examined the risk factors from the NAPLS risk calculator in the EU-GEI (EU funded gene environment interaction) high risk study. The EU-GEI high risk study is a longitudinal multi-centre study including 9 sites in Europe, 1 site in Australia and 1 site in Brazil. At baseline, the study included 345 CHR individuals of which 65 later developed psychosis. The NAPLS risk calculator includes 8 risk factors and for each risk factor we attempted to harmonise the EU-GEI measures to the corresponding NAPLS measure. We used multivariate cox regression to determine the standardised hazard ratio for transition to psychosis for the 8 risk factors. To compare each of the NAPLS and EU-GEI hazard ratios we used a meta-analytical framework to calculate a combined hazard ratio and to examine heterogeneity between the effect sizes. Results In terms of the 8 risk factors, only the CAARMS unusual thought + non-bizarre ideas (corresponding to NAPLS SIPS P1+P2) was significantly associated with transition to psychosis, standardised hazard ratio = 1.51 (95%CI 1.01–2.23), p=0.046. Hazard ratios for the remaining risk factors varied from 0.73 to 1.41. The meta-analysis combining EU-GEI and NAPLS data did not indicate heterogeneity for any of the 8 measures, suggesting no systematic differences in the risk factors between the two studies. Discussion The test of the NAPLS risk factors in the independent EU-GEI high risk sample showed support for unusual thought content and non-bizarre ideas being predictive of later transition to psychosis. We were not able to replicate decline in functioning and lower scores in verbal learning memory as predictive of transition to psychosis as seen in the NAPLS study. However, our meta-analytical comparison showed no systematic differences in the hazard ratios for all 8 risk factors between both studies suggesting broad compara
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INVESTIGATING VARIABLES FROM THE NAPLS RISK CALCULATOR FOR PSYCHOSIS IN THE EU-GEI HIGH RISK STUDY</title><source>Oxford University Press Journals All Titles (1996-Current)</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><creator>Kempton, Matthew ; Valmaggia, Lucia ; Calem, Maria ; Tognin, Stefania ; Modinos, Gemma ; Fusar-poli, Paolo ; Antoniades, Mathilde ; Van der Gaag, Mark ; Haan, Lieuwe De ; Nelson, Barnaby ; Riecher-Rössler, Anita ; Bressan, Rodrigo ; Barrantes-Vidal, Neus ; Krebs, Marie-Odile ; Nordentoft, Merete ; Ruhrmann, Stephan ; Sachs, Gabriele ; Rutten, Bart ; Os, Jim Van ; McGuire, Philip ; WP, EU-GEI ; Study, High Risk</creator><creatorcontrib>Kempton, Matthew ; Valmaggia, Lucia ; Calem, Maria ; Tognin, Stefania ; Modinos, Gemma ; Fusar-poli, Paolo ; Antoniades, Mathilde ; Van der Gaag, Mark ; Haan, Lieuwe De ; Nelson, Barnaby ; Riecher-Rössler, Anita ; Bressan, Rodrigo ; Barrantes-Vidal, Neus ; Krebs, Marie-Odile ; Nordentoft, Merete ; Ruhrmann, Stephan ; Sachs, Gabriele ; Rutten, Bart ; Os, Jim Van ; McGuire, Philip ; WP, EU-GEI ; Study, High Risk</creatorcontrib><description>Abstract Background Individuals at clinical high risk (CHR) for psychosis have approximately a 25% chance of transitioning to psychosis in the first 2 years after first presentation to clinical services. A key aim in this field is to determine the risk of conversion for an individual meeting the criteria for CHR based on clinical, demographic and neuropsychological measures. An individualized risk calculator incorporating 8 risk factors based on these measures has recently been developed by the researchers from the North American Prodrome Longitudinal Study (NAPLS-2) and tested in their dataset of CHR participants. Methods We examined the risk factors from the NAPLS risk calculator in the EU-GEI (EU funded gene environment interaction) high risk study. The EU-GEI high risk study is a longitudinal multi-centre study including 9 sites in Europe, 1 site in Australia and 1 site in Brazil. At baseline, the study included 345 CHR individuals of which 65 later developed psychosis. The NAPLS risk calculator includes 8 risk factors and for each risk factor we attempted to harmonise the EU-GEI measures to the corresponding NAPLS measure. We used multivariate cox regression to determine the standardised hazard ratio for transition to psychosis for the 8 risk factors. To compare each of the NAPLS and EU-GEI hazard ratios we used a meta-analytical framework to calculate a combined hazard ratio and to examine heterogeneity between the effect sizes. Results In terms of the 8 risk factors, only the CAARMS unusual thought + non-bizarre ideas (corresponding to NAPLS SIPS P1+P2) was significantly associated with transition to psychosis, standardised hazard ratio = 1.51 (95%CI 1.01–2.23), p=0.046. Hazard ratios for the remaining risk factors varied from 0.73 to 1.41. The meta-analysis combining EU-GEI and NAPLS data did not indicate heterogeneity for any of the 8 measures, suggesting no systematic differences in the risk factors between the two studies. Discussion The test of the NAPLS risk factors in the independent EU-GEI high risk sample showed support for unusual thought content and non-bizarre ideas being predictive of later transition to psychosis. We were not able to replicate decline in functioning and lower scores in verbal learning memory as predictive of transition to psychosis as seen in the NAPLS study. However, our meta-analytical comparison showed no systematic differences in the hazard ratios for all 8 risk factors between both studies suggesting broad comparability between the samples.</description><identifier>ISSN: 0586-7614</identifier><identifier>EISSN: 1745-1701</identifier><identifier>DOI: 10.1093/schbul/sbz021.221</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Oral Abstracts</subject><ispartof>Schizophrenia bulletin, 2019-04, Vol.45 (Supplement_2), p.S177-S178</ispartof><rights>The Author(s) 2019. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. All rights reserved. For permissions, please email: journals.permissions@oup.com 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6455486/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6455486/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,1578,27901,27902,53766,53768</link.rule.ids></links><search><creatorcontrib>Kempton, Matthew</creatorcontrib><creatorcontrib>Valmaggia, Lucia</creatorcontrib><creatorcontrib>Calem, Maria</creatorcontrib><creatorcontrib>Tognin, Stefania</creatorcontrib><creatorcontrib>Modinos, Gemma</creatorcontrib><creatorcontrib>Fusar-poli, Paolo</creatorcontrib><creatorcontrib>Antoniades, Mathilde</creatorcontrib><creatorcontrib>Van der Gaag, Mark</creatorcontrib><creatorcontrib>Haan, Lieuwe De</creatorcontrib><creatorcontrib>Nelson, Barnaby</creatorcontrib><creatorcontrib>Riecher-Rössler, Anita</creatorcontrib><creatorcontrib>Bressan, Rodrigo</creatorcontrib><creatorcontrib>Barrantes-Vidal, Neus</creatorcontrib><creatorcontrib>Krebs, Marie-Odile</creatorcontrib><creatorcontrib>Nordentoft, Merete</creatorcontrib><creatorcontrib>Ruhrmann, Stephan</creatorcontrib><creatorcontrib>Sachs, Gabriele</creatorcontrib><creatorcontrib>Rutten, Bart</creatorcontrib><creatorcontrib>Os, Jim Van</creatorcontrib><creatorcontrib>McGuire, Philip</creatorcontrib><creatorcontrib>WP, EU-GEI</creatorcontrib><creatorcontrib>Study, High Risk</creatorcontrib><title>O6.5. INVESTIGATING VARIABLES FROM THE NAPLS RISK CALCULATOR FOR PSYCHOSIS IN THE EU-GEI HIGH RISK STUDY</title><title>Schizophrenia bulletin</title><description>Abstract Background Individuals at clinical high risk (CHR) for psychosis have approximately a 25% chance of transitioning to psychosis in the first 2 years after first presentation to clinical services. A key aim in this field is to determine the risk of conversion for an individual meeting the criteria for CHR based on clinical, demographic and neuropsychological measures. An individualized risk calculator incorporating 8 risk factors based on these measures has recently been developed by the researchers from the North American Prodrome Longitudinal Study (NAPLS-2) and tested in their dataset of CHR participants. Methods We examined the risk factors from the NAPLS risk calculator in the EU-GEI (EU funded gene environment interaction) high risk study. The EU-GEI high risk study is a longitudinal multi-centre study including 9 sites in Europe, 1 site in Australia and 1 site in Brazil. At baseline, the study included 345 CHR individuals of which 65 later developed psychosis. The NAPLS risk calculator includes 8 risk factors and for each risk factor we attempted to harmonise the EU-GEI measures to the corresponding NAPLS measure. We used multivariate cox regression to determine the standardised hazard ratio for transition to psychosis for the 8 risk factors. To compare each of the NAPLS and EU-GEI hazard ratios we used a meta-analytical framework to calculate a combined hazard ratio and to examine heterogeneity between the effect sizes. Results In terms of the 8 risk factors, only the CAARMS unusual thought + non-bizarre ideas (corresponding to NAPLS SIPS P1+P2) was significantly associated with transition to psychosis, standardised hazard ratio = 1.51 (95%CI 1.01–2.23), p=0.046. Hazard ratios for the remaining risk factors varied from 0.73 to 1.41. The meta-analysis combining EU-GEI and NAPLS data did not indicate heterogeneity for any of the 8 measures, suggesting no systematic differences in the risk factors between the two studies. Discussion The test of the NAPLS risk factors in the independent EU-GEI high risk sample showed support for unusual thought content and non-bizarre ideas being predictive of later transition to psychosis. We were not able to replicate decline in functioning and lower scores in verbal learning memory as predictive of transition to psychosis as seen in the NAPLS study. However, our meta-analytical comparison showed no systematic differences in the hazard ratios for all 8 risk factors between both studies suggesting broad comparability between the samples.</description><subject>Oral Abstracts</subject><issn>0586-7614</issn><issn>1745-1701</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNqNkM1Og0AUhSdGE2v1AdzNAwidOwwwbEwQKUzE0jDQpKsJv7amlQasiT69KMbEnYubuzjnfIsPoWsgOhDHmPXlpjjuZn3xQSjolMIJmoDNTA1sAqdoQkxuabYF7Bxd9P0zIcAci07QJrZ0U8disfJlKgI3FYsAr9xEuHeRL_E8iR9xGvp44S4jiRMhH7DnRl4WuWmc4PlwS7n2wlgKOUC-q36mBb7AoQjCcSDT7H59ic6afNfXVz9_irK5n3qhFsWBGJBaCbYNGgPKGs4bWkFeEqfiTs7pEFWOwwqHEV4ZhQ01lLwpwKwYMx2rpsw0yqIyaMWMKboduYdjsa-rsn557fKdOnTbfd69qzbfqr_Jy3ajnto3ZTHTZNwaADACyq7t-65ufrdA1JdrNbpWo2s1uB42N-OmPR7-Uf8E-NB7sw</recordid><startdate>20190409</startdate><enddate>20190409</enddate><creator>Kempton, Matthew</creator><creator>Valmaggia, Lucia</creator><creator>Calem, Maria</creator><creator>Tognin, Stefania</creator><creator>Modinos, Gemma</creator><creator>Fusar-poli, Paolo</creator><creator>Antoniades, Mathilde</creator><creator>Van der Gaag, Mark</creator><creator>Haan, Lieuwe De</creator><creator>Nelson, Barnaby</creator><creator>Riecher-Rössler, Anita</creator><creator>Bressan, Rodrigo</creator><creator>Barrantes-Vidal, Neus</creator><creator>Krebs, Marie-Odile</creator><creator>Nordentoft, Merete</creator><creator>Ruhrmann, Stephan</creator><creator>Sachs, Gabriele</creator><creator>Rutten, Bart</creator><creator>Os, Jim Van</creator><creator>McGuire, Philip</creator><creator>WP, EU-GEI</creator><creator>Study, High Risk</creator><general>Oxford University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>5PM</scope></search><sort><creationdate>20190409</creationdate><title>O6.5. 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INVESTIGATING VARIABLES FROM THE NAPLS RISK CALCULATOR FOR PSYCHOSIS IN THE EU-GEI HIGH RISK STUDY</atitle><jtitle>Schizophrenia bulletin</jtitle><date>2019-04-09</date><risdate>2019</risdate><volume>45</volume><issue>Supplement_2</issue><spage>S177</spage><epage>S178</epage><pages>S177-S178</pages><issn>0586-7614</issn><eissn>1745-1701</eissn><abstract>Abstract Background Individuals at clinical high risk (CHR) for psychosis have approximately a 25% chance of transitioning to psychosis in the first 2 years after first presentation to clinical services. A key aim in this field is to determine the risk of conversion for an individual meeting the criteria for CHR based on clinical, demographic and neuropsychological measures. An individualized risk calculator incorporating 8 risk factors based on these measures has recently been developed by the researchers from the North American Prodrome Longitudinal Study (NAPLS-2) and tested in their dataset of CHR participants. Methods We examined the risk factors from the NAPLS risk calculator in the EU-GEI (EU funded gene environment interaction) high risk study. The EU-GEI high risk study is a longitudinal multi-centre study including 9 sites in Europe, 1 site in Australia and 1 site in Brazil. At baseline, the study included 345 CHR individuals of which 65 later developed psychosis. The NAPLS risk calculator includes 8 risk factors and for each risk factor we attempted to harmonise the EU-GEI measures to the corresponding NAPLS measure. We used multivariate cox regression to determine the standardised hazard ratio for transition to psychosis for the 8 risk factors. To compare each of the NAPLS and EU-GEI hazard ratios we used a meta-analytical framework to calculate a combined hazard ratio and to examine heterogeneity between the effect sizes. Results In terms of the 8 risk factors, only the CAARMS unusual thought + non-bizarre ideas (corresponding to NAPLS SIPS P1+P2) was significantly associated with transition to psychosis, standardised hazard ratio = 1.51 (95%CI 1.01–2.23), p=0.046. Hazard ratios for the remaining risk factors varied from 0.73 to 1.41. The meta-analysis combining EU-GEI and NAPLS data did not indicate heterogeneity for any of the 8 measures, suggesting no systematic differences in the risk factors between the two studies. Discussion The test of the NAPLS risk factors in the independent EU-GEI high risk sample showed support for unusual thought content and non-bizarre ideas being predictive of later transition to psychosis. We were not able to replicate decline in functioning and lower scores in verbal learning memory as predictive of transition to psychosis as seen in the NAPLS study. However, our meta-analytical comparison showed no systematic differences in the hazard ratios for all 8 risk factors between both studies suggesting broad comparability between the samples.</abstract><cop>US</cop><pub>Oxford University Press</pub><doi>10.1093/schbul/sbz021.221</doi><oa>free_for_read</oa></addata></record>
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title O6.5. INVESTIGATING VARIABLES FROM THE NAPLS RISK CALCULATOR FOR PSYCHOSIS IN THE EU-GEI HIGH RISK STUDY
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