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Baruth JM, Bateman DR, Kovacs RJ, Bateman PV, Pazdernik VM, Santivasi WL, Dunlay SM, Lapid MI. Cardiac healthcare disparities and electrocardiography (ECG) differences in schizophrenia at end of life. Schizophr Res 2023; 262:60-66. [PMID: 37925752 DOI: 10.1016/j.schres.2023.10.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 09/11/2023] [Accepted: 10/22/2023] [Indexed: 11/07/2023]
Abstract
Schizophrenia is associated with early mortality of 15 to 20 years, and 80 % of deaths are due to cardiovascular disease with a three-times greater risk of sudden-cardiac-death. While lifestyle, medications, genetics, and healthcare disparities are contributing factors, the etiology of this complex process is not fully understood. The aim of this study is to examine cardiac-related healthcare utilization and electrocardiogram (ECG) outcomes in schizophrenia at the end of life (EOL). A cohort of individuals with schizophrenia (SG) (n = 610, ≥50 years) were identified retrospectively from a unified clinical data platform and measures of cardiovascular healthcare utilization were evaluated within a 12-month period prior to death. Similarly, a control group (n = 610) was randomly identified and matched by gender (53 % females) and age of death (72.8 ± 12.4 years). Statistical methods included Cochran-Mantel-Haenszel and mixed-effects logistic & linear regression tests with adjustments for match strata and marital status, race, age, and gender as covariates. Results indicate that SG was more likely to be unmarried, unemployed, or from minority groups (all p < 0.001), and more likely to have diabetes and/or cardiovascular disease (p < 0.001). SG was less likely to receive an ECG (p = 0.001) or cardiac catheterization procedure (p < 0.001). SG had a greater mean QTc (447.2 ms vs. 434.6 ms; p = 0.001) and were twice as likely to have "prolonged QT" on ECG report (p = 0.006). In conclusion, SG had reduced likelihood of cardiac-related healthcare interventions, and despite greater likelihood of prolonged QTc, a recognized biomarker of cardiac risk, ECG was less likely at EOL. Given greater cardiac comorbidity and risk of sudden cardiac death in schizophrenia, improved practice guidelines are needed.
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Affiliation(s)
- Joshua M Baruth
- Dept. of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.
| | - Daniel R Bateman
- Dept. of Behavioral Health, Indiana University, Indianapolis, IN, USA
| | | | | | | | - Wil L Santivasi
- Center for Palliative Care, Department of Medicine, Duke University, Durham, NC, USA
| | - Shannon M Dunlay
- Dept. of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Maria I Lapid
- Dept. of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
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Lambert T, Middleton T, Chen R, Sureshkumar P. Prevalence of, and factors associated with, diabetes mellitus in people with severe mental illness attending a multidisciplinary, outpatient cardiometabolic health assessment service. BMJ Open Diabetes Res Care 2023; 11:11/1/e003055. [PMID: 36653062 PMCID: PMC9853146 DOI: 10.1136/bmjdrc-2022-003055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 11/25/2022] [Indexed: 01/19/2023] Open
Abstract
INTRODUCTION Evaluate the prevalence of, and factors associated with, diabetes in people with severe mental illness (SMI) attending the Collaborative Centre for Cardiometabolic Health in Psychosis (ccCHiP) tertiary referral clinics. RESEARCH DESIGN AND METHODS Adult patients attending an initial ccCHiP clinic consultation (2014-2019) were studied. Diabetes was defined by an hemoglobin A1c of ≥6.5%, fasting blood glucose of ≥7.0 mmol/L, or a self-reported diagnosis of diabetes and prescription of antihyperglycemic medication. RESULTS Over 5 years, 1402 individuals attended a baseline consultation. Mean age of 43.9±12.8 years, 63.1% male and 63.5% had a diagnosis of schizophrenia. Prevalence of diabetes was 23.0% (n=322); an additional 19.5% fulfilled criteria for pre-diabetes. Of those with diabetes, 15.8% were newly diagnosed. Of those with pre-existing diabetes, 84.5% were receiving treatment with antihyperglycemic medication. Over 94% of individuals with diabetes had dyslipidemia; half were current smokers; and 46.4% reported sedentary behavior. On multivariate analysis, diabetes was associated with older age, Aboriginal, Indian or Middle Eastern maternal ethnicity, elevated waist-to-height ratio, family history of diabetes and use of antipsychotic medication. CONCLUSION Prevalence of diabetes mellitus in this multiethnic cohort with SMI is significantly higher than the Australian population. Targeted interventions via an assertive integrated approach are required to optimize cardiometabolic health in this population.
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Affiliation(s)
- Tim Lambert
- Concord Medical School, The University of Sydney, Sydney, New South Wales, Australia
- Collaborative Centre for Cardiometabolic Health in Psychosis (ccCHiP), Concord Repatriation General Hospital, Concord, New South Wales, Australia
| | - Tim Middleton
- Department of Endocrinology, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
| | - Roger Chen
- Diabetes and Endocrinology, The University of Sydney, Sydney, New South Wales, Australia
- St Vincent's Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - Premala Sureshkumar
- Concord Medical School, The University of Sydney, Sydney, New South Wales, Australia
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Davis WA, Bruce DG, Starkstein SE, Davis TME. Temporal Trends in Mortality Associated with Comorbid Type 2 Diabetes and Schizophrenia: The Fremantle Diabetes Study. J Clin Med 2022; 12:jcm12010300. [PMID: 36615099 PMCID: PMC9820984 DOI: 10.3390/jcm12010300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 12/28/2022] [Accepted: 12/28/2022] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND In Phase I of the community-based Fremantle Diabetes Study (FDS1), there was evidence of a deleterious interactive effect of schizophrenia and type 2 diabetes on mortality. Our aim was to investigate whether the mortality gap had improved in FDS Phase II (FDS2) conducted 15 years later. METHODS Participants with type 2 diabetes from FDS1 (n = 1291 recruited 1993-1996) and FDS2 (n = 1509 recruited 2008-2011) were age-, sex- and postcode-matched 1:4 to people without diabetes. Schizophrenia at entry and incident deaths were ascertained from validated administrative data. RESULTS Schizophrenia affected 50/11,195 (0.45%) of participants without diabetes and 17/2800 (0.61%) of those with type 2 diabetes (p = 0.284). During 142,304 person-years of follow-up, the mortality rate (95% CI) was lowest for the FDS2 subgroup without diabetes/schizophrenia (18.2 (16.9, 19.6)/1000 person-years) and highest in FDS2 and FDS1 subgroups with type 2 diabetes/schizophrenia (53.3 (14.5, 136.6) and 98.0 (31.8, 228.8)/1000 person-years, respectively). Compared to the respective FDS subgroup without diabetes/schizophrenia, the mortality rate ratio was approximately 50% higher in the type 2 diabetes subgroup, and three times higher in those with type 2 diabetes/schizophrenia. In Cox regression, unadjusted hazard ratios were highest in those with type 2 diabetes/schizophrenia in FDS1 (HR (95% CI): 3.71 (1.54, 8.93) and FDS2 (2.96 (1.11, 7.91)), increasing to 5.61 (2.33, 13.5) and 26.9 (9.94, 72.6), respectively, after adjustment for age. CONCLUSIONS Although limited by small numbers of schizophrenia cases, these data suggest that comorbid type 2 diabetes and schizophrenia remains associated with a substantial and possibly increasing mortality gap.
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Dinh NTT, Cox IA, de Graaff B, Campbell JA, Stokes B, Palmer AJ. A Comprehensive Systematic Review of Data Linkage Publications on Diabetes in Australia. Front Public Health 2022; 10:757987. [PMID: 35692316 PMCID: PMC9174992 DOI: 10.3389/fpubh.2022.757987] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 04/25/2022] [Indexed: 11/13/2022] Open
Abstract
Aims Our study aimed to identify the common themes, knowledge gaps and to evaluate the quality of data linkage research on diabetes in Australia. Methods This systematic review was developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (the PRISMA Statement). Six biomedical databases and the Australian Population Health Research Network (PHRN) website were searched. A narrative synthesis was conducted to comprehensively identify the common themes and knowledge gaps. The guidelines for studies involving data linkage were used to appraise methodological quality of included studies. Results After screening and hand-searching, 118 studies were included in the final analysis. Data linkage publications confirmed negative health outcomes in people with diabetes, reported risk factors for diabetes and its complications, and found an inverse association between primary care use and hospitalization. Linked data were used to validate data sources and diabetes instruments. There were limited publications investigating healthcare expenditure and adverse drug reactions (ADRs) in people with diabetes. Regarding methodological assessment, important information about the linkage performed was under-reported in included studies. Conclusions In the future, more up to date data linkage research addressing costs of diabetes and its complications in a contemporary Australian setting, as well as research assessing ADRs of recently approved antidiabetic medications, are required.
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Affiliation(s)
- Ngan T T Dinh
- Health Economics Research Group, Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.,Department of Pharmacology, Thai Nguyen University of Medicine and Pharmacy, Thai Nguyen University, Thai Nguyen, Vietnam
| | - Ingrid A Cox
- Health Economics Research Group, Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Barbara de Graaff
- Health Economics Research Group, Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Julie A Campbell
- Health Economics Research Group, Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Brian Stokes
- Tasmanian Data Linkage Unit, Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Andrew J Palmer
- Health Economics Research Group, Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.,Centre for Health Policy, School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
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Rønne ST, Zabell V, Joensen LE, Jørgensen R, Gaede PH, Hemmingsen Arnfred SM. Perceptions and experiences of living with coexisting type 2 diabetes and severe mental illness: a scoping review. Diabet Med 2020; 37:1627-1639. [PMID: 32421884 DOI: 10.1111/dme.14322] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/13/2020] [Indexed: 12/21/2022]
Abstract
AIMS To map existing research-based knowledge of everyday life and illness management among people with coexisting type 2 diabetes and severe mental illness, and to identify study designs, aims, populations and themes. METHODS A systematic literature search was performed on 16 April 2019 using Medline, Embase, PsycINFO, Cinahl, the Cochrane Library, and the Web of Science to conduct a scoping review. Included studies were summarized with regard to the quantity of research, the study designs, aims, populations and themes RESULTS: From 3406 records, we included 23 studies about everyday life and illness management among people with coexisting type 2 diabetes and severe mental illness. Four studies were qualitative (observations, interviews and focus groups), and 19 were quantitative (observational and interventions) and used questionnaires. Five themes emerged in the findings: (1) diet and exercise, but not other diabetes self-care activities, are consistently compromised in the target group; (2) psychiatric exacerbation diminishes diabetes self-care; (3) social support and high self-efficacy improve diabetes self-care; (4) use of healthcare services is compromised; and (5) quality of life and well-being is poor. CONCLUSIONS The limited research into the studied population's experiences with coexisting type 2 diabetes and severe mental illness is characterized by its heterogeneity in aims and methods and a strong focus on diabetes management and treatment. Further research focusing on the management of both conditions in everyday life is needed to improve specialized and integrated care targeting the population.
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Affiliation(s)
- S T Rønne
- Psychiatric Research Unit West, Slagelse, Region Zealand, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - V Zabell
- Psychiatric Research Unit West, Slagelse, Region Zealand, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - L E Joensen
- Health Promotion, Steno Diabetes Centre Copenhagen, Copenhagen, Denmark
| | - R Jørgensen
- Unit for Psychiatric Research, Aalborg University Hospital, Aalborg, Denmark
| | - P H Gaede
- Department of Internal Medicine Cardiology and Endocrinology, Slagelse Hospital, Slagelse, Region Zealand, Denmark
- Faculty of Public Health, University of Southern Denmark, Odense, Denmark
| | - S M Hemmingsen Arnfred
- Psychiatric Research Unit West, Slagelse, Region Zealand, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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