Standard cardiovascular disease risk algorithms underestimate the risk of cardiovascular disease in schizophrenia: evidence from a national primary care database.
Background: Schizophrenia is associated with increased cardiovascular mortality. Although cardiovascular disease (CVD) risk prediction algorithms are widely in the general population, their utility for patients with schizophrenia is unknown.Methods: A primary care dataset was used to compare CVD ris...
| Publicado en: | Schizophrenia Research Vol. 159; no. 1; pp. 176 - 182 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Oct2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109756824&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109756824 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09209964 3PT jtl: Schizophrenia Research issn: 09209964 maglogo: N pubinfo: dt: Oct2014 vid: 159 iid: 1 pid: 1004 pub: Elsevier B.V. artinfo: ui: 109756824 NLM25128454 2012744076 10.1016/j.schres.2014.07.022 NLM25128454 109756824 ppf: 176 ppct: 6 formats: tig: atl: Standard cardiovascular disease risk algorithms underestimate the risk of cardiovascular disease in schizophrenia: evidence from a national primary care database. aug: au: McLean, Gary Martin, Julie Langan Martin, Daniel J Guthrie, Bruce Mercer, Stewart W Smith, Daniel J affil: Institute of Health and Wellbeing, University of Glasgow, 1 Horselethill Road, Glasgow G12 9LX, UK. Electronic address: Gary.McLean@glasgow.ac.uk. sug: subj: Algorithms Cardiovascular Diseases Epidemiology Schizophrenia Epidemiology Adult Demography Aged Resource Databases Female Human Male Middle Age Primary Health Care Statistics and Numerical Data Regression Risk Factors Scotland Adult: 19-44 years Aged: 65+ years Middle Aged: 45-64 years Female Male ab: Background: Schizophrenia is associated with increased cardiovascular mortality. Although cardiovascular disease (CVD) risk prediction algorithms are widely in the general population, their utility for patients with schizophrenia is unknown.Methods: A primary care dataset was used to compare CVD risk scores (Joint British Societies (JBS) score), cardiovascular risk factors, rates of pre-existing CVD and age of first diagnosis of CVD for schizophrenia (n=1997) relative to population controls (n=215,165).Results: Pre-existing rates of CVD and the recording of risk factors for those without CVD were higher in the schizophrenia cohort in the younger age groups, for both genders. Those with schizophrenia were more likely to have a first diagnosis of CVD at a younger age, with nearly half of men with schizophrenia plus CVD diagnosed under the age of 55 (schizophrenia men 46.1% vs. control men 34.8%, p<0.001; schizophrenia women 28.9% vs. control women 23.8%, p<0.001). However, despite high rates of CVD risk factors within the schizophrenia group, only a very small percentage (3.2% of men and 7.5% of women) of those with schizophrenia under age 55 were correctly identified as high risk for CVD according to the JBS risk algorithm.Conclusion: The JBS2 risk score identified only a small proportion of individuals with schizophrenia under the age of 55 as being at high risk of CVD, despite high rates of risk factors and high rates of first diagnosis of CVD within this age group. The validity of CVD risk prediction algorithms for schizophrenia needs further research. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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