Cardiovascular Risk Prediction Models for People With Severe Mental Illness | Zendy

David Osborn | Zendy; Sarah Hardoon | Zendy; Rumana Z. Omar | Zendy; R. I. G. Holt | Zendy; Michael King | Zendy; John Larsen | Zendy; Louise Marston | Zendy; Richard Morris | Zendy; Irwin Nazareth | Zendy; Kate Walters | Zendy; Irene Petersen | Zendy

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Cardiovascular Risk Prediction Models for People With Severe Mental Illness

Author(s) -

David Osborn,

Sarah Hardoon,

Rumana Z. Omar,

R. I. G. Holt,

Michael King,

John Larsen,

Louise Marston,

Richard Morris,

Irwin Nazareth,

Kate Walters,

Irene Petersen

Publication year - 2014

Publication title -

jama psychiatry

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 7.531

H-Index - 365

eISSN - 2168-6238

pISSN - 2168-622X

DOI - 10.1001/jamapsychiatry.2014.2133

Subject(s) - medicine , body mass index , bipolar disorder , population , myocardial infarction , hazard ratio , psychiatry , confidence interval , environmental health , lithium (medication)

People with severe mental illness (SMI), including schizophrenia and bipolar disorder, have excess rates of cardiovascular disease (CVD). Risk prediction models validated for the general population may not accurately estimate cardiovascular risk in this group.

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