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Schizophrenia as a risk factor for cardiovascular and metabolic health outcomes: a comparative risk assessment
AIMS: Cardiometabolic diseases are responsible for the majority of premature deaths in people with schizophrenia. This study aimed to quantify the fatal burden of ischaemic heart disease (IHD), stroke and diabetes attributable to schizophrenia. METHODS: Comparative Risk Assessment methodology from t...
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/PMC9971851/ https://www.ncbi.nlm.nih.gov/pubmed/36756905 http://dx.doi.org/10.1017/S2045796023000045 |
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author | Ali, S. Santomauro, D. Ferrari, A. J Charlson, F. |
author_facet | Ali, S. Santomauro, D. Ferrari, A. J Charlson, F. |
author_sort | Ali, S. |
collection | PubMed |
description | AIMS: Cardiometabolic diseases are responsible for the majority of premature deaths in people with schizophrenia. This study aimed to quantify the fatal burden of ischaemic heart disease (IHD), stroke and diabetes attributable to schizophrenia. METHODS: Comparative Risk Assessment methodology from the Global Burden of Disease (GBD) study was used to calculate attributable burden; pooled relative risks (RRs) for IHD, stroke and diabetes were estimated via meta-regression, which were combined with GBD schizophrenia prevalence estimates to calculate the deaths and years of life lost (YLLs) caused by these health outcomes that were attributable to schizophrenia. The proportion of explained all-cause fatal burden and corresponding unexplained burden was also calculated. RESULTS: The pooled RRs for IHD, stroke and diabetes mortality were 2.36 [95% uncertainty interval (UI) 1.77 to 3.14], 1.86 (95% UI 1.36 to 2.54) and 4.08 (95% UI 3.80 to 4.38) respectively. Schizophrenia was responsible for around 50 000 deaths and almost 1.5 million YLLs globally in 2019 from these health outcomes combined. IHD, stroke and diabetes together explained around 13% of all deaths and almost 11% of all YLLs attributable to schizophrenia, resulting in 320 660 (95% UI 288 299 to 356 517) unexplained deaths and 12 258 690 (95% UI 10 925 426 to 13 713 646) unexplained YLLs. CONCLUSIONS: Quantifying the physical disease burden attributable to schizophrenia provides a means of capturing the substantial excess mortality associated with this disorder within the GBD framework, contributing to an important evidence base for healthcare planning and practice. |
format | Online Article Text |
id | pubmed-9971851 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-99718512023-03-01 Schizophrenia as a risk factor for cardiovascular and metabolic health outcomes: a comparative risk assessment Ali, S. Santomauro, D. Ferrari, A. J Charlson, F. Epidemiol Psychiatr Sci Original Article AIMS: Cardiometabolic diseases are responsible for the majority of premature deaths in people with schizophrenia. This study aimed to quantify the fatal burden of ischaemic heart disease (IHD), stroke and diabetes attributable to schizophrenia. METHODS: Comparative Risk Assessment methodology from the Global Burden of Disease (GBD) study was used to calculate attributable burden; pooled relative risks (RRs) for IHD, stroke and diabetes were estimated via meta-regression, which were combined with GBD schizophrenia prevalence estimates to calculate the deaths and years of life lost (YLLs) caused by these health outcomes that were attributable to schizophrenia. The proportion of explained all-cause fatal burden and corresponding unexplained burden was also calculated. RESULTS: The pooled RRs for IHD, stroke and diabetes mortality were 2.36 [95% uncertainty interval (UI) 1.77 to 3.14], 1.86 (95% UI 1.36 to 2.54) and 4.08 (95% UI 3.80 to 4.38) respectively. Schizophrenia was responsible for around 50 000 deaths and almost 1.5 million YLLs globally in 2019 from these health outcomes combined. IHD, stroke and diabetes together explained around 13% of all deaths and almost 11% of all YLLs attributable to schizophrenia, resulting in 320 660 (95% UI 288 299 to 356 517) unexplained deaths and 12 258 690 (95% UI 10 925 426 to 13 713 646) unexplained YLLs. CONCLUSIONS: Quantifying the physical disease burden attributable to schizophrenia provides a means of capturing the substantial excess mortality associated with this disorder within the GBD framework, contributing to an important evidence base for healthcare planning and practice. Cambridge University Press 2023-02-09 /pmc/articles/PMC9971851/ /pubmed/36756905 http://dx.doi.org/10.1017/S2045796023000045 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. |
spellingShingle | Original Article Ali, S. Santomauro, D. Ferrari, A. J Charlson, F. Schizophrenia as a risk factor for cardiovascular and metabolic health outcomes: a comparative risk assessment |
title | Schizophrenia as a risk factor for cardiovascular and metabolic health outcomes: a comparative risk assessment |
title_full | Schizophrenia as a risk factor for cardiovascular and metabolic health outcomes: a comparative risk assessment |
title_fullStr | Schizophrenia as a risk factor for cardiovascular and metabolic health outcomes: a comparative risk assessment |
title_full_unstemmed | Schizophrenia as a risk factor for cardiovascular and metabolic health outcomes: a comparative risk assessment |
title_short | Schizophrenia as a risk factor for cardiovascular and metabolic health outcomes: a comparative risk assessment |
title_sort | schizophrenia as a risk factor for cardiovascular and metabolic health outcomes: a comparative risk assessment |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9971851/ https://www.ncbi.nlm.nih.gov/pubmed/36756905 http://dx.doi.org/10.1017/S2045796023000045 |
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