Imperial College London
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ProfessorVictoriaCornelius

Faculty of Medicine, School of Public Health

Professor in Medical Statistics and Trials Methodology
 
 
 
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Contact

 

+44 (0)20 7594 1218v.cornelius

 
 
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Assistant

 

Mrs Ranjit Rayat +44 (0)20 7594 3445

 
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Location

 

111Stadium HouseWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{O'Hagan:2017:10.1097/YIC.0000000000000163,
author = {O'Hagan, M and Cornelius, V and Young, AH and Taylor, D},
doi = {10.1097/YIC.0000000000000163},
journal = {INTERNATIONAL CLINICAL PSYCHOPHARMACOLOGY},
pages = {115--120},
title = {Predictors of rehospitalization in a naturalistic cohort of patients with bipolar affective disorder},
url = {http://dx.doi.org/10.1097/YIC.0000000000000163},
volume = {32},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - There has only been limited research into the predictors of readmission in bipolar disorder. We carried out a 1-year follow-up of patients discharged from a single mental health unit following admission for treatment of an acute bipolar episode. Of 519 patients followed up for 1 year, 167 (32.2%) were readmitted. There was no association between readmission and any drug regimen. Prescription of antidepressants at discharge was not associated with increased risk of readmission [odds ratio (OR): 0.99, 95% confidence interval (CI): 0.98–1.01]. Among demographic factors, only smoking (OR: 1.75, 95% CI: 1.14–2.75) and age range of 42–53 years (OR: 1.99, 95% CI: 1.15–3.43) conferred an increased risk of readmission. Individually optimized drug treatment regimens are equally effective in practice. It is not clear why smoking is associated with readmission.
AU  - O'Hagan,M
AU  - Cornelius,V
AU  - Young,AH
AU  - Taylor,D
DO  - 10.1097/YIC.0000000000000163
EP  - 120
PY  - 2017///
SN  - 0268-1315
SP  - 115
TI  - Predictors of rehospitalization in a naturalistic cohort of patients with bipolar affective disorder
T2  - INTERNATIONAL CLINICAL PSYCHOPHARMACOLOGY
UR  - http://dx.doi.org/10.1097/YIC.0000000000000163
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000398819700001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/48693
VL  - 32
ER  -
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