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Prediction of cardiovascular disease risk among people with severe mental illness: A cohort study.

ABSTRACT: OBJECTIVE:To determine whether contemporary sex-specific cardiovascular disease (CVD) risk prediction equations underestimate CVD risk in people with severe mental illness from the cohort in which the equations were derived. METHODS:We identified people with severe mental illness using information on prior specialist mental health treatment. This group were identified from the PREDICT study, a prospective cohort study of 495,388 primary care patients aged 30 to 74 years without prior CVD that was recently used to derive new CVD risk prediction equations. CVD risk was calculated in participants with and without severe mental illness using the new equations and the predicted CVD risk was compared with observed risk in the two participant groups using survival methods. RESULTS:28,734 people with a history of recent contact with specialist mental health services, including those without a diagnosis of a psychotic disorder, were identified in the PREDICT cohort. They had a higher observed rate of CVD events compared to those without such a history. The PREDICT equations underestimated the risk for this group, with a mean observed:predicted risk ratio of 1.29 in men and 1.64 in women. In contrast the PREDICT algorithm performed well for those without mental illness. CONCLUSIONS:Clinicians using CVD risk assessment tools that do not include severe mental illness as a predictor could by underestimating CVD risk by about one-third in men and two-thirds in women in this patient group. All CVD risk prediction equations should be updated to include mental illness indicators.

SUBMITTER: Cunningham R

PROVIDER: S-EPMC6750572 | biostudies-other | 2019

REPOSITORIES: biostudies-other

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Prediction of cardiovascular disease risk among people with severe mental illness: A cohort study.

Cunningham Ruth R Poppe Katrina K Peterson Debbie D Every-Palmer Susanna S Soosay Ian I Jackson Rod R

PloS one 20190918 9

<h4>Objective</h4>To determine whether contemporary sex-specific cardiovascular disease (CVD) risk prediction equations underestimate CVD risk in people with severe mental illness from the cohort in which the equations were derived.<h4>Methods</h4>We identified people with severe mental illness using information on prior specialist mental health treatment. This group were identified from the PREDICT study, a prospective cohort study of 495,388 primary care patients aged 30 to 74 years without pr ...[more]

PMID: 31532772

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Project description:Interventions: We are assessing the impact of the National Bowel Cancer Screening Program (NBCSP) by comparing participation rates of people with and without Severe Mental Illness (SMI) and looking at health outcomes. We will be using data collected from Aug 2006 - latest available. We are linking data using Commonwealth data (NBCSP, Medicare Benefits Schedule, Pharmaceutical Benefits Scheme, Australian Cancer Database & the National Death Index) to compare bowel cancer screening participation in people with SMI to those from the general population. We will additionally link these to the NSW cancer registry and hospital data to examine care pathways from diagnosis through treatment and end-of-life care. We will also conduct a consultation with people with experience of SMI and Colorectal cancer and people with SMI in peer support roles who can provide their perspective on the barriers faced by people with SMI to gaining timely screening, diagnosis and optimal care. These participants will be recruited from New South Wales consumer organisations and organisations with a strong focus on provision of peer support and advocacy. We will use a semi structured group interview schedule to facilitate discussion of a single focus group of 15 people. The group will consist of both people with lived experience who have direct experience of bowel cancer (n=10), as well as other people with lived experience who have supported people in this situation – as peer support workers or in other consumer advocacy/support roles (n=5). We will use this qualitative arm of the study to further develop our understanding of the quantitative findings. The consultation will also develop ideas on how to improve access to care. Primary outcome(s): Participation rates in the National Bowel Cancer Screening Program assessed using data from the NBCSP.[Person-years will be calculated from entry into the study (2006) (the date of commencement of the NBCSP) or from the year that people become eligible for screening (i.e. age 50), whichever occurs later.. This is a retrospective cohort study, so all of the outcomes have already occurred and were recorded in the administrative data. This will be assessed when we receive the data.];Colonoscopy rates assessed using data from the NBCSP [Person-years will be calculated from entry into the study (2006 the date of commencement of the NBCSP), or from the year that people become eligible for screening (i.e. age 50), whichever occurs later, until colonoscopy. This is a retrospective cohort study, so all of the outcomes have already occurred and have been recorded in the administrative data.];Cancer diagnosis using data from the Australian Cancer Database[Person-years will be calculated from entry into the study (2006 the date of commencement of the NBCSP), or from the year that people become eligible for screening (i.e. age 50), whichever occurs later, until cancer diagnosis. This is a retrospective cohort study, so all of the outcomes have already occurred and have been recorded in the administrative data.] Study Design: Purpose: Screening;Duration: Longitudinal;Selection: Case control;Timing: Both

Dataset Information

Prediction of cardiovascular disease risk among people with severe mental illness: A cohort study.

Publications

Prediction of cardiovascular disease risk among people with severe mental illness: A cohort study.

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