PMID- 29158147
OWN - NLM
STAT- MEDLINE
DCOM- 20190329
LR  - 20191201
IS  - 1876-2026 (Electronic)
IS  - 1876-2018 (Print)
IS  - 1876-2018 (Linking)
VI  - 38
DP  - 2018 Dec
TI  - Joint analysis of cognitive and circadian variation in Schizophrenia and Bipolar 
      I Disorder.
PG  - 96-101
LID - S1876-2018(17)30232-0 [pii]
LID - 10.1016/j.ajp.2017.11.006 [doi]
AB  - BACKGROUND: Impairment in cognitive variables and alterations in circadian 
      function have been documented among patients with schizophrenia (SZ) and bipolar 
      I disorder (BP1), but it is not known whether joint analysis of these variables 
      can define clinically relevant sub-groups in either disorder. OBJECTIVES: To 
      evaluate the pattern and relationship of cognitive and circadian function in SZ 
      and BP1 patients with respect to diagnosis and indices of clinical severity. 
      METHODS: Among patients with SZ and BP1, cognitive function was evaluated using 
      the Penn Computerized Neurocognitive Battery and circadian function was assessed 
      using the Composite Scale of Morningness/ Eveningness (CSM). Clinical severity 
      was estimated using the Global Assessment of Function (GAF) scale, and age at 
      onset of illness (AAO). The patients were compared with community based 
      non-psychotic control individuals and non-psychotic first degree relatives of the 
      SZ patients. The cluster distributions of cognitive function, circadian function 
      and clinical severity were investigated and identified clusters compared across 
      diagnostic groups. RESULTS: Across participants, the cognitive domains could be 
      separated into two clusters. Cluster 1 included the majority of control 
      individuals and non-psychotic relatives, while SZ patients predominated in 
      Cluster 2. BP1 patients were distributed across both clusters. The clusters could 
      be differentiated by GAF scores, but not AAO. CSM scores were not significantly 
      correlated with individual cognitive domains or with the clusters. CONCLUSIONS: 
      Clusters based on levels of cognitive function can discriminate SZ patients from 
      control individuals, but not BP1 patients. CSM scores do not contribute to such 
      discrimination.
CI  - Copyright (c) 2017 Elsevier B.V. All rights reserved.
FAU - Thomas, Pramod
AU  - Thomas P
AD  - Department of Community medicine, Believers Church Medical College, Thiruvalla, 
      Kerala, India. Electronic address: pramodbiostat@gmail.com.
FAU - He, Fanyin
AU  - He F
AD  - Department of Biostatistics and Psychiatry, University of Pittsburgh, Pittsburgh, 
      PA, USA.
FAU - Mazumdar, Sati
AU  - Mazumdar S
AD  - Department of Biostatistics and Psychiatry, University of Pittsburgh, Pittsburgh, 
      PA, USA.
FAU - Wood, Joel
AU  - Wood J
AD  - Department of Psychiatry, University of Pittsburgh, School of Medicine, 
      Pittsburgh, PA, USA.
FAU - Bhatia, Triptish
AU  - Bhatia T
AD  - Indo-US Projects, Department of Psychiatry, Centre of Excellence in Mental 
      Health, Post Graduate Institute of Medical Education and Research-Dr. Ram Manohar 
      Lohia Hospital, New Delhi, India.
FAU - Gur, Ruben C
AU  - Gur RC
AD  - Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
FAU - Gur, Raquel E
AU  - Gur RE
AD  - Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
FAU - Buysse, Daniel
AU  - Buysse D
AD  - Sleep and Chronobiology Center, Department of Psychiatry, Western Psychiatric 
      Institute and Clinic, 3811 O'Hara St. University of Pittsburgh, School of 
      Medicine, Pittsburgh PA, USA.
FAU - Nimgaonkar, Vishwajit L
AU  - Nimgaonkar VL
AD  - Department of Psychiatry, University of Pittsburgh, School of Medicine, 
      Pittsburgh, PA, USA; Department of Human Genetics, University of Pittsburgh, 
      Pittsburgh, PA, USA.
FAU - Deshpande, Smita N
AU  - Deshpande SN
AD  - Department of Psychiatry, Centre of Excellence in Mental Health, Post Graduate 
      Institute of Medical Education and Research- Dr. Ram Manohar Lohia Hospital, New 
      Delhi, India.
LA  - eng
GR  - D43 TW006167/TW/FIC NIH HHS/United States
GR  - D43 TW008302/TW/FIC NIH HHS/United States
GR  - D43 TW009114/TW/FIC NIH HHS/United States
GR  - R01 MH063480/MH/NIMH NIH HHS/United States
PT  - Journal Article
DEP - 20171107
PL  - Netherlands
TA  - Asian J Psychiatr
JT  - Asian journal of psychiatry
JID - 101517820
SB  - IM
MH  - Adult
MH  - Bipolar Disorder/complications/*physiopathology
MH  - Chronobiology Disorders/etiology/*physiopathology
MH  - Cluster Analysis
MH  - Cognitive Dysfunction/etiology/*physiopathology
MH  - Family
MH  - Female
MH  - Humans
MH  - Male
MH  - Middle Aged
MH  - Schizophrenia/complications/*physiopathology
MH  - Severity of Illness Index
MH  - Young Adult
PMC - PMC5938152
MID - NIHMS930682
OTO - NOTNLM
OT  - Bipolar disorder
OT  - Circadian rhythm
OT  - Clinical severity
OT  - Cluster analysis
OT  - Cognitive function
OT  - Schizophrenia
COIS- Conflict of interest There is no conflict of interest in this manuscript.
EDAT- 2017/11/22 06:00
MHDA- 2019/03/30 06:00
PMCR- 2019/12/01
CRDT- 2017/11/22 06:00
PHST- 2017/04/21 00:00 [received]
PHST- 2017/10/20 00:00 [revised]
PHST- 2017/11/06 00:00 [accepted]
PHST- 2017/11/22 06:00 [pubmed]
PHST- 2019/03/30 06:00 [medline]
PHST- 2017/11/22 06:00 [entrez]
PHST- 2019/12/01 00:00 [pmc-release]
AID - S1876-2018(17)30232-0 [pii]
AID - 10.1016/j.ajp.2017.11.006 [doi]
PST - ppublish
SO  - Asian J Psychiatr. 2018 Dec;38:96-101. doi: 10.1016/j.ajp.2017.11.006. Epub 2017 
      Nov 7.