Phenotype of subsyndromal delirium using pooled multicultural Delirium Rating Scale—Revised-98 data
There is no consensus definition for the phenotype of subsyndromal delirium (SSD), a subthreshold state to full delirium. Without an a priori definition we applied advanced analytic techniques to discern SSD. We pooled Delirium Rating Scale—Revised-98 (DRS-R98) data from 859 DSM-IV diagnosed nondeme...
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Published in | Journal of psychosomatic research Vol. 73; no. 1; pp. 10 - 17 |
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Main Authors | , , , , , , , , , , , |
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Language | English |
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Elsevier Inc
01.07.2012
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Abstract | There is no consensus definition for the phenotype of subsyndromal delirium (SSD), a subthreshold state to full delirium. Without an a priori definition we applied advanced analytic techniques to discern SSD.
We pooled Delirium Rating Scale—Revised-98 (DRS-R98) data from 859 DSM-IV diagnosed nondemented delirious adults and nondelirious controls collected by investigators in 7 countries. Discriminant analyses defined an SSD group that was then compared to Nondelirium and Delirium groups.
SSD (n=138) had intermediate DRS-R98 item severities between Delirium (n=497) and Nondelirium (n=224) groups, where groups significantly differed on all DRS-R98 items (ANOVA p<.001) except delusions. Discriminant analysis found SSD phenomenologically closer to Delirium than Nondelirium. Using full multinomial logistical regression, SSD was distinguished from Nondelirium by temporal onset, sleep–wake cycle, perceptual disturbances, motor retardation, delusion, affective lability, and all cognitive items; SSD was similar to Delirium in thought process, language, motor agitation or retardation, sleep–wake cycle, all cognitive items, fluctuation and physical disorder. The multivariate model correctly classified 94.2% of Nondelirium, 75.4% of SSD and 97.2% of Delirium subjects. Binary logistic regression of six core domain symptoms (sleep–wake cycle, thought process, language, attention, orientation, and visuospatial ability) together were found as highly differentiating of SSD from Nondelirium, which correctly classified almost 80% of SDD.
SSD is intermediate in severity between nondelirious controls and full syndromal delirium, but its phenotype is more like delirium. Core domain delirium symptoms present at milder severity in SSD should be evaluated further for utility in detecting and managing SSD, preventing delirium, and possible inclusion in DSM-V. |
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AbstractList | There is no consensus definition for the phenotype of subsyndromal delirium (SSD), a subthreshold state to full delirium. Without an a priori definition we applied advanced analytic techniques to discern SSD.
We pooled Delirium Rating Scale—Revised-98 (DRS-R98) data from 859 DSM-IV diagnosed nondemented delirious adults and nondelirious controls collected by investigators in 7 countries. Discriminant analyses defined an SSD group that was then compared to Nondelirium and Delirium groups.
SSD (n=138) had intermediate DRS-R98 item severities between Delirium (n=497) and Nondelirium (n=224) groups, where groups significantly differed on all DRS-R98 items (ANOVA p<.001) except delusions. Discriminant analysis found SSD phenomenologically closer to Delirium than Nondelirium. Using full multinomial logistical regression, SSD was distinguished from Nondelirium by temporal onset, sleep–wake cycle, perceptual disturbances, motor retardation, delusion, affective lability, and all cognitive items; SSD was similar to Delirium in thought process, language, motor agitation or retardation, sleep–wake cycle, all cognitive items, fluctuation and physical disorder. The multivariate model correctly classified 94.2% of Nondelirium, 75.4% of SSD and 97.2% of Delirium subjects. Binary logistic regression of six core domain symptoms (sleep–wake cycle, thought process, language, attention, orientation, and visuospatial ability) together were found as highly differentiating of SSD from Nondelirium, which correctly classified almost 80% of SDD.
SSD is intermediate in severity between nondelirious controls and full syndromal delirium, but its phenotype is more like delirium. Core domain delirium symptoms present at milder severity in SSD should be evaluated further for utility in detecting and managing SSD, preventing delirium, and possible inclusion in DSM-V. Abstract Objective There is no consensus definition for the phenotype of subsyndromal delirium (SSD), a subthreshold state to full delirium. Without an a priori definition we applied advanced analytic techniques to discern SSD. Method We pooled Delirium Rating Scale—Revised-98 (DRS-R98) data from 859 DSM-IV diagnosed nondemented delirious adults and nondelirious controls collected by investigators in 7 countries. Discriminant analyses defined an SSD group that was then compared to Nondelirium and Delirium groups. Results SSD (n = 138) had intermediate DRS-R98 item severities between Delirium (n = 497) and Nondelirium (n = 224) groups, where groups significantly differed on all DRS-R98 items (ANOVA p < .001) except delusions. Discriminant analysis found SSD phenomenologically closer to Delirium than Nondelirium. Using full multinomial logistical regression, SSD was distinguished from Nondelirium by temporal onset, sleep–wake cycle, perceptual disturbances, motor retardation, delusion, affective lability, and all cognitive items; SSD was similar to Delirium in thought process, language, motor agitation or retardation, sleep–wake cycle, all cognitive items, fluctuation and physical disorder. The multivariate model correctly classified 94.2% of Nondelirium, 75.4% of SSD and 97.2% of Delirium subjects. Binary logistic regression of six core domain symptoms (sleep–wake cycle, thought process, language, attention, orientation, and visuospatial ability) together were found as highly differentiating of SSD from Nondelirium, which correctly classified almost 80% of SDD. Conclusions SSD is intermediate in severity between nondelirious controls and full syndromal delirium, but its phenotype is more like delirium. Core domain delirium symptoms present at milder severity in SSD should be evaluated further for utility in detecting and managing SSD, preventing delirium, and possible inclusion in DSM-V. There is no consensus definition for the phenotype of subsyndromal delirium (SSD), a subthreshold state to full delirium. Without an a priori definition we applied advanced analytic techniques to discern SSD.OBJECTIVEThere is no consensus definition for the phenotype of subsyndromal delirium (SSD), a subthreshold state to full delirium. Without an a priori definition we applied advanced analytic techniques to discern SSD.We pooled Delirium Rating Scale-Revised-98 (DRS-R98) data from 859 DSM-IV diagnosed nondemented delirious adults and nondelirious controls collected by investigators in 7 countries. Discriminant analyses defined an SSD group that was then compared to Nondelirium and Delirium groups.METHODWe pooled Delirium Rating Scale-Revised-98 (DRS-R98) data from 859 DSM-IV diagnosed nondemented delirious adults and nondelirious controls collected by investigators in 7 countries. Discriminant analyses defined an SSD group that was then compared to Nondelirium and Delirium groups.SSD (n=138) had intermediate DRS-R98 item severities between Delirium (n=497) and Nondelirium (n=224) groups, where groups significantly differed on all DRS-R98 items (ANOVA p<.001) except delusions. Discriminant analysis found SSD phenomenologically closer to Delirium than Nondelirium. Using full multinomial logistical regression, SSD was distinguished from Nondelirium by temporal onset, sleep-wake cycle, perceptual disturbances, motor retardation, delusion, affective lability, and all cognitive items; SSD was similar to Delirium in thought process, language, motor agitation or retardation, sleep-wake cycle, all cognitive items, fluctuation and physical disorder. The multivariate model correctly classified 94.2% of Nondelirium, 75.4% of SSD and 97.2% of Delirium subjects. Binary logistic regression of six core domain symptoms (sleep-wake cycle, thought process, language, attention, orientation, and visuospatial ability) together were found as highly differentiating of SSD from Nondelirium, which correctly classified almost 80% of SDD.RESULTSSSD (n=138) had intermediate DRS-R98 item severities between Delirium (n=497) and Nondelirium (n=224) groups, where groups significantly differed on all DRS-R98 items (ANOVA p<.001) except delusions. Discriminant analysis found SSD phenomenologically closer to Delirium than Nondelirium. Using full multinomial logistical regression, SSD was distinguished from Nondelirium by temporal onset, sleep-wake cycle, perceptual disturbances, motor retardation, delusion, affective lability, and all cognitive items; SSD was similar to Delirium in thought process, language, motor agitation or retardation, sleep-wake cycle, all cognitive items, fluctuation and physical disorder. The multivariate model correctly classified 94.2% of Nondelirium, 75.4% of SSD and 97.2% of Delirium subjects. Binary logistic regression of six core domain symptoms (sleep-wake cycle, thought process, language, attention, orientation, and visuospatial ability) together were found as highly differentiating of SSD from Nondelirium, which correctly classified almost 80% of SDD.SSD is intermediate in severity between nondelirious controls and full syndromal delirium, but its phenotype is more like delirium. Core domain delirium symptoms present at milder severity in SSD should be evaluated further for utility in detecting and managing SSD, preventing delirium, and possible inclusion in DSM-V.CONCLUSIONSSSD is intermediate in severity between nondelirious controls and full syndromal delirium, but its phenotype is more like delirium. Core domain delirium symptoms present at milder severity in SSD should be evaluated further for utility in detecting and managing SSD, preventing delirium, and possible inclusion in DSM-V. |
Author | Lee, Yanghyun Kean, Jacob Trzepacz, Paula T. Chen, Chun-Hsin Kim, Jeong-Lan Furlanetto, Leticia M. Kishi, Yasuhiro Negreiros, Daniel Huang, Ming-Chyi Meagher, David J. Franco, Jose G. Leonard, Maeve |
Author_xml | – sequence: 1 givenname: Paula T. surname: Trzepacz fullname: Trzepacz, Paula T. email: PTT@lilly.com organization: Lilly Research Laboratories, Indianapolis, IN, USA – sequence: 2 givenname: Jose G. surname: Franco fullname: Franco, Jose G. organization: Faculty of Medicine, Universidad Pontificia Bolivariana, Medellín, Colombia – sequence: 3 givenname: David J. surname: Meagher fullname: Meagher, David J. organization: Department of Psychiatry, University of Limerick School of Medicine, Limerick, Ireland – sequence: 4 givenname: Yanghyun surname: Lee fullname: Lee, Yanghyun organization: Department of Psychiatry, Mungyeong Jeil General Hospital, Mungyeong, South Korea – sequence: 5 givenname: Jeong-Lan surname: Kim fullname: Kim, Jeong-Lan organization: Department of Psychiatry, College of Medicine, Chungnam National University, Daejeon, South Korea – sequence: 6 givenname: Yasuhiro surname: Kishi fullname: Kishi, Yasuhiro organization: Department of Psychiatry, Nippon Medical School Musashikosugi Hospital, Kawasaki-city, Kanagawa, Japan – sequence: 7 givenname: Leticia M. surname: Furlanetto fullname: Furlanetto, Leticia M. organization: Department of Internal Medicine, Federal University of Santa Catarina, Brazil – sequence: 8 givenname: Daniel surname: Negreiros fullname: Negreiros, Daniel organization: Department of Internal Medicine, Federal University of Santa Catarina, Brazil – sequence: 9 givenname: Ming-Chyi surname: Huang fullname: Huang, Ming-Chyi organization: Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan – sequence: 10 givenname: Chun-Hsin surname: Chen fullname: Chen, Chun-Hsin organization: Department of Psychiatry, Taipei Medical University–Wan Fang Hospital, Taipei, Taiwan – sequence: 11 givenname: Jacob surname: Kean fullname: Kean, Jacob organization: Department of Rehabilitation Medicine, Indiana University School of Medicine, Indianapolis, IN, USA – sequence: 12 givenname: Maeve surname: Leonard fullname: Leonard, Maeve organization: Department of Psychiatry, University of Limerick School of Medicine, Limerick, Ireland |
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Keywords | Delirium Phenotype Subsyndromal Delirium Rating Scale—Revised-98 |
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Snippet | There is no consensus definition for the phenotype of subsyndromal delirium (SSD), a subthreshold state to full delirium. Without an a priori definition we... Abstract Objective There is no consensus definition for the phenotype of subsyndromal delirium (SSD), a subthreshold state to full delirium. Without an a... |
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SubjectTerms | Adolescent Adult Aged Aged, 80 and over Cross-Sectional Studies Delirium Delirium - diagnosis Delirium - psychology Delirium Rating Scale—Revised-98 Female Humans Male Middle Aged Neuropsychological Tests Phenotype Psychiatric Status Rating Scales Psychiatry Severity of Illness Index Subsyndromal |
Title | Phenotype of subsyndromal delirium using pooled multicultural Delirium Rating Scale—Revised-98 data |
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