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Assessment of Cardiovascular Disease Risk in Adults With Severe Mental Illness Admitted to Acute Psychiatric Unit Using QRISK-3 Assessment Tool: A Quality Improvement Project
AIMS: The purpose of this QI project was to assess risk of CVD (cardiovascular disease) in adults with SMI (severe mental illness) admitted to acute psychiatric ward as risk can be reduced by relevant changes in lifestyle, optimizing treatment of relevant comorbidities, and by drug treatment, if app...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10345442/ http://dx.doi.org/10.1192/bjo.2023.270 |
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author | Elbadrmany, Ibrahim Sakhuja, Divya |
author_facet | Elbadrmany, Ibrahim Sakhuja, Divya |
author_sort | Elbadrmany, Ibrahim |
collection | PubMed |
description | AIMS: The purpose of this QI project was to assess risk of CVD (cardiovascular disease) in adults with SMI (severe mental illness) admitted to acute psychiatric ward as risk can be reduced by relevant changes in lifestyle, optimizing treatment of relevant comorbidities, and by drug treatment, if appropriate. Nice guidelines for CVD risk assessment and management were followed for those with CVD risk of 10% or more. METHODS: This QI project focused on patients with a diagnosis of severe mental illness admitted to ward Ty Cyfannol, YYF hospital, ABUHB in South Wales from 1st April 2021 to 30th November 2021. QRISK®3-2018 risk calculator used to estimate risk of cardiovascular disease. Patients younger than 25 years old at the time of QI project were excluded as QRISK tool is only valid for patients aged 25–84 years. Patients who already had a diagnosis of Ischaemic heart disease or stroke/transient ischaemic attack were also excluded as per criteria of QRISK3. Total number of patients included in this project was 43 patients. Data were collected from patients’ medical records including their weights, heights, routine physical examinations and laboratory investigations requested during their admission. In order to maintain anonymity, patients were assigned to their hospital number. This information was saved in a password protected Excel Spreadsheet. RESULTS: The mean age of patients was 43.3 ± 11.06 years ranging from 25-69 years. Most patients were males (65.1 %). Schizophrenia was the most prevalent diagnosis (32.5%) followed by emotionally unstable personality disorder (18.6%). 72% out of total 43 patients were smokers. The mean BMI was 23.6 ranging from 17 to 31. 41.9% had their BMI ≥ 25, 8 patients out of those with BMI equal to or higher than 25 scored 10 or more on QRISK3. 13 (30.2%) patients were estimated to have high CVD risk using QRISK3 assessment tool, of whom 76.7% (n=10) aged 55 years or more. 69.2% (n=9) were current smokers, 23% (n=3) were diabetic and 15.2% (n=2) had hypertension. CONCLUSION: The findings of this project conform the consensus that people with SMI are at a higher risk of having CVD. Therefore, this should emphasize the importance to assess CVD risk in patients with SMI and to manage modifiable risk factors accordingly and to incorporate the assessment of cardiovascular risk in patients with severe mental illness in day-to-day practice in mental health inpatient units. |
format | Online Article Text |
id | pubmed-10345442 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-103454422023-07-15 Assessment of Cardiovascular Disease Risk in Adults With Severe Mental Illness Admitted to Acute Psychiatric Unit Using QRISK-3 Assessment Tool: A Quality Improvement Project Elbadrmany, Ibrahim Sakhuja, Divya BJPsych Open Quality Improvement AIMS: The purpose of this QI project was to assess risk of CVD (cardiovascular disease) in adults with SMI (severe mental illness) admitted to acute psychiatric ward as risk can be reduced by relevant changes in lifestyle, optimizing treatment of relevant comorbidities, and by drug treatment, if appropriate. Nice guidelines for CVD risk assessment and management were followed for those with CVD risk of 10% or more. METHODS: This QI project focused on patients with a diagnosis of severe mental illness admitted to ward Ty Cyfannol, YYF hospital, ABUHB in South Wales from 1st April 2021 to 30th November 2021. QRISK®3-2018 risk calculator used to estimate risk of cardiovascular disease. Patients younger than 25 years old at the time of QI project were excluded as QRISK tool is only valid for patients aged 25–84 years. Patients who already had a diagnosis of Ischaemic heart disease or stroke/transient ischaemic attack were also excluded as per criteria of QRISK3. Total number of patients included in this project was 43 patients. Data were collected from patients’ medical records including their weights, heights, routine physical examinations and laboratory investigations requested during their admission. In order to maintain anonymity, patients were assigned to their hospital number. This information was saved in a password protected Excel Spreadsheet. RESULTS: The mean age of patients was 43.3 ± 11.06 years ranging from 25-69 years. Most patients were males (65.1 %). Schizophrenia was the most prevalent diagnosis (32.5%) followed by emotionally unstable personality disorder (18.6%). 72% out of total 43 patients were smokers. The mean BMI was 23.6 ranging from 17 to 31. 41.9% had their BMI ≥ 25, 8 patients out of those with BMI equal to or higher than 25 scored 10 or more on QRISK3. 13 (30.2%) patients were estimated to have high CVD risk using QRISK3 assessment tool, of whom 76.7% (n=10) aged 55 years or more. 69.2% (n=9) were current smokers, 23% (n=3) were diabetic and 15.2% (n=2) had hypertension. CONCLUSION: The findings of this project conform the consensus that people with SMI are at a higher risk of having CVD. Therefore, this should emphasize the importance to assess CVD risk in patients with SMI and to manage modifiable risk factors accordingly and to incorporate the assessment of cardiovascular risk in patients with severe mental illness in day-to-day practice in mental health inpatient units. Cambridge University Press 2023-07-07 /pmc/articles/PMC10345442/ http://dx.doi.org/10.1192/bjo.2023.270 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by-nc/4.0), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. This does not need to be placed under each abstract, just each page is fine. |
spellingShingle | Quality Improvement Elbadrmany, Ibrahim Sakhuja, Divya Assessment of Cardiovascular Disease Risk in Adults With Severe Mental Illness Admitted to Acute Psychiatric Unit Using QRISK-3 Assessment Tool: A Quality Improvement Project |
title | Assessment of Cardiovascular Disease Risk in Adults With Severe Mental Illness Admitted to Acute Psychiatric Unit Using QRISK-3 Assessment Tool: A Quality Improvement Project |
title_full | Assessment of Cardiovascular Disease Risk in Adults With Severe Mental Illness Admitted to Acute Psychiatric Unit Using QRISK-3 Assessment Tool: A Quality Improvement Project |
title_fullStr | Assessment of Cardiovascular Disease Risk in Adults With Severe Mental Illness Admitted to Acute Psychiatric Unit Using QRISK-3 Assessment Tool: A Quality Improvement Project |
title_full_unstemmed | Assessment of Cardiovascular Disease Risk in Adults With Severe Mental Illness Admitted to Acute Psychiatric Unit Using QRISK-3 Assessment Tool: A Quality Improvement Project |
title_short | Assessment of Cardiovascular Disease Risk in Adults With Severe Mental Illness Admitted to Acute Psychiatric Unit Using QRISK-3 Assessment Tool: A Quality Improvement Project |
title_sort | assessment of cardiovascular disease risk in adults with severe mental illness admitted to acute psychiatric unit using qrisk-3 assessment tool: a quality improvement project |
topic | Quality Improvement |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10345442/ http://dx.doi.org/10.1192/bjo.2023.270 |
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