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Correll CU, Solmi M, Croatto G, Schneider LK, Rohani-Montez SC, Fairley L, Smith N, Bitter I, Gorwood P, Taipale H, Tiihonen J. Mortality in people with schizophrenia: a systematic review and meta-analysis of relative risk and aggravating or attenuating factors. World Psychiatry 2022; 21:248-271. [PMID: 35524619 PMCID: PMC9077617 DOI: 10.1002/wps.20994] [Citation(s) in RCA: 196] [Impact Index Per Article: 98.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
People with schizophrenia die 15-20 years prematurely. Understanding mortality risk and aggravating/attenuating factors is essential to reduce this gap. We conducted a systematic review and random-effects meta-analysis of prospective and retrospective, nationwide and targeted cohort studies assessing mortality risk in people with schizophrenia versus the general population or groups matched for physical comorbidities or groups with different psychiatric disorders, also assessing moderators. Primary outcome was all-cause mortality risk ratio (RR); key secondary outcomes were mortality due to suicide and natural causes. Other secondary outcomes included any other specific-cause mortality. Publication bias, subgroup and meta-regression analyses, and quality assessment (Newcastle-Ottawa Scale) were conducted. Across 135 studies spanning from 1957 to 2021 (schizophrenia: N=4,536,447; general population controls: N=1,115,600,059; other psychiatric illness controls: N=3,827,955), all-cause mortality was increased in people with schizophrenia versus any non-schizophrenia control group (RR=2.52, 95% CI: 2.38-2.68, n=79), with the largest risk in first-episode (RR=7.43, 95% CI: 4.02-13.75, n=2) and incident (i.e., earlier-phase) schizophrenia (RR=3.52, 95% CI: 3.09-4.00, n=7) versus the general population. Specific-cause mortality was highest for suicide or injury-poisoning or undetermined non-natural cause (RR=9.76-8.42), followed by pneumonia among natural causes (RR=7.00, 95% CI: 6.79-7.23), decreasing through infectious or endocrine or respiratory or urogenital or diabetes causes (RR=3 to 4), to alcohol or gastrointestinal or renal or nervous system or cardio-cerebrovascular or all natural causes (RR=2 to 3), and liver or cerebrovascular, or breast or colon or pancreas or any cancer causes (RR=1.33 to 1.96). All-cause mortality increased slightly but significantly with median study year (beta=0.0009, 95% CI: 0.001-0.02, p=0.02). Individuals with schizophrenia <40 years of age had increased all-cause and suicide-related mortality compared to those ≥40 years old, and a higher percentage of females increased suicide-related mortality risk in incident schizophrenia samples. All-cause mortality was higher in incident than prevalent schizophrenia (RR=3.52 vs. 2.86, p=0.009). Comorbid substance use disorder increased all-cause mortality (RR=1.62, 95% CI: 1.47-1.80, n=3). Antipsychotics were protective against all-cause mortality versus no antipsychotic use (RR=0.71, 95% CI: 0.59-0.84, n=11), with largest effects for second-generation long-acting injectable anti-psychotics (SGA-LAIs) (RR=0.39, 95% CI: 0.27-0.56, n=3), clozapine (RR=0.43, 95% CI: 0.34-0.55, n=3), any LAI (RR=0.47, 95% CI: 0.39-0.58, n=2), and any SGA (RR=0.53, 95% CI: 0.44-0.63, n=4). Antipsychotics were also protective against natural cause-related mortality, yet first-generation antipsychotics (FGAs) were associated with increased mortality due to suicide and natural cause in incident schizophrenia. Higher study quality and number of variables used to adjust the analyses moderated larger natural-cause mortality risk, and more recent study year moderated larger protective effects of antipsychotics. These results indicate that the excess mortality in schizophrenia is associated with several modifiable factors. Targeting comorbid substance abuse, long-term maintenance antipsychotic treatment and appropriate/earlier use of SGA-LAIs and clozapine could reduce this mortality gap.
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Affiliation(s)
- Christoph U Correll
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany
- Department of Psychiatry, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Marco Solmi
- Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada
- Department of Mental Health, Ottawa Hospital, Ottawa, ON, Canada
- Ottawa Hospital Research Institute (OHRI) Clinical Epidemiology Program, University of Ottawa, Ottawa, ON, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Giovanni Croatto
- Mental Health Department, AULSS 3 Serenissima, Mestre, Venice, Italy
| | | | | | | | | | - István Bitter
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Philip Gorwood
- INSERM U1266, Institute of Psychiatry and Neurosciences of Paris (IPNP), Paris, France
- GHU Paris Psychiatrie et Neurosciences (CMME, Sainte-Anne Hospital), Université de Paris, Paris, France
| | - Heidi Taipale
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Center for Psychiatry Research, Stockholm City Council, Stockholm, Sweden
- Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Jari Tiihonen
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Center for Psychiatry Research, Stockholm City Council, Stockholm, Sweden
- Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland
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2
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Challa F, Getahun T, Sileshi M, Geto Z, Kelkile TS, Gurmessa S, Medhin G, Mesfin M, Alemayehu M, Shumet T, Mulugeta A, Bekele D, Borba CPC, Oppenheim CE, Henderson DC, Fekadu A, Carobene A, Teferra S. Prevalence of metabolic syndrome among patients with schizophrenia in Ethiopia. BMC Psychiatry 2021; 21:620. [PMID: 34895175 PMCID: PMC8665491 DOI: 10.1186/s12888-021-03631-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 11/29/2021] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Globally, the prevalence of metabolic syndrome (MetS) is higher among patients with schizophrenia than the general population, and this leads to higher morbidity and mortality in this population. The aim of this study was to investigate the MetS prevalence among patients with schizophrenia in Ethiopia. METHODS We conducted a cross-sectional analysis of baseline data of 200 patients with schizophrenia recruited from Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia. Lipid profile and blood glucose levels were measured using Roche Cobas 6000 clinical chemistry analyzer. The prevalence of MetS was assessed based on National Cholesterol Education Program Adult Treatment Panel III criteria. Patients' demographic information, clinical and laboratory data, lifestyle habits, particularly smoking and Khat chewing, were evaluated vis-à-vis MetS. RESULTS The overall prevalence of MetS in patients with schizophrenia was 21.5% (17.1% male, 29.6% female) where Low HDL-cholesterol value was the most common metabolic disorders components in both males and females subgroups. In the multivariate analysis, the positive and negative symptoms score (PANSS, AOR = 1.03, 95% CI 1.001-1.054) was associated factors with MetS. CONCLUSION In Ethiopia, patients with schizophrenia were found to have higher prevalence of MetS than the general population. Physicians/health care providers should routinely screen patients with schizophrenia for MetS and initiate timely management of those who develop the syndrome to reduce the health cost from caring for NCDs, improve the patients' quality of life, and prevent premature mortality.
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Affiliation(s)
- Feyissa Challa
- National References Laboratory for Clinical Chemistry, Ethiopian Public Health Institute, Gulelle Arbegnoch Street (the former Pasteur Institute): Gulele Sub City, Addis Ababa, Ethiopia.
| | - Tigist Getahun
- grid.452387.f0000 0001 0508 7211National References Laboratory for Clinical Chemistry, Ethiopian Public Health Institute, Gulelle Arbegnoch Street (the former Pasteur Institute): Gulele Sub City, Addis Ababa, Ethiopia
| | - Meron Sileshi
- grid.452387.f0000 0001 0508 7211National References Laboratory for Clinical Chemistry, Ethiopian Public Health Institute, Gulelle Arbegnoch Street (the former Pasteur Institute): Gulele Sub City, Addis Ababa, Ethiopia
| | - Zeleke Geto
- grid.467130.70000 0004 0515 5212Department of Biomedical Science, College of Medicine and Health Science, Wollo University, Dessie, Wollo Ethiopia
| | - Teshome S. Kelkile
- grid.428748.50000 0000 8052 6109Horizon Health Network, Fredericton, NB Canada
| | - Sintayehu Gurmessa
- grid.7123.70000 0001 1250 5688Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Girmay Medhin
- grid.7123.70000 0001 1250 5688Aklilu Lemma Institute of Pathobiology Addis Ababa University, Addis Ababa, Ethiopia
| | - Miraf Mesfin
- grid.7123.70000 0001 1250 5688Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Melkam Alemayehu
- grid.7123.70000 0001 1250 5688Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Tigist Shumet
- grid.452387.f0000 0001 0508 7211National References Laboratory for Clinical Chemistry, Ethiopian Public Health Institute, Gulelle Arbegnoch Street (the former Pasteur Institute): Gulele Sub City, Addis Ababa, Ethiopia
| | - Anwar Mulugeta
- grid.1026.50000 0000 8994 5086Australian Centre for Precision Health, University of South Australia, Adelaide, Australia
| | - Desalegn Bekele
- grid.7123.70000 0001 1250 5688Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Christina P. C. Borba
- grid.189504.10000 0004 1936 7558Boston University School of Medicine, Boston, MA USA ,grid.239424.a0000 0001 2183 6745Boston Medical Center, Boston, MA USA
| | - Claire E. Oppenheim
- grid.189504.10000 0004 1936 7558Boston University School of Medicine, Boston, MA USA
| | - David C. Henderson
- grid.189504.10000 0004 1936 7558Boston University School of Medicine, Boston, MA USA ,grid.239424.a0000 0001 2183 6745Boston Medical Center, Boston, MA USA
| | - Abebaw Fekadu
- grid.7123.70000 0001 1250 5688Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia ,grid.7123.70000 0001 1250 5688Centre for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia ,grid.414601.60000 0000 8853 076XGlobal Health & Infection Department, Brighton and Sussex Medical School, Brighton, UK ,grid.13097.3c0000 0001 2322 6764King’s College London, Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Anna Carobene
- grid.18887.3e0000000417581884Laboratory Medicine, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Solomon Teferra
- grid.7123.70000 0001 1250 5688Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
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Hsu MC, Lee SC, Ouyang WC. Use of Charlson Comorbidity Index and Nomogram to Predict Mortality in Elderly Patients with Late-Life Schizophrenia. Healthcare (Basel) 2021; 9:healthcare9070783. [PMID: 34206232 PMCID: PMC8304975 DOI: 10.3390/healthcare9070783] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 06/14/2021] [Accepted: 06/15/2021] [Indexed: 12/29/2022] Open
Abstract
Objectives: Comorbid illness burden signifies a poor prognosis in schizophrenia. The aims of this study were to estimate the severity of comorbidities in elderly patients with schizophrenia, determine risk factors associated with mortality, and establish a reliable nomogram for predicting 1-, 3- and 5-year mortality and survival. Methods: This population-based study rigorously selected schizophrenia patients (≥65 years) having their first admission due to schizophrenia during the study period (2000–2013). Comorbidity was scored using the updated Charlson Comorbidity Index (CCI). Results: This study comprised 3827 subjects. The mean stay of first admission due to schizophrenia was 26 days. Mean numbers of schizophrenia and non-schizophrenia-related hospitalization (not including the first admission) were 1.80 and 3.58, respectively. Mean ages at death were 73.50, 82.14 and 89.32 years old, and the mean times from first admission to death were 4.24, 3.33, and 1.87 years in three different age groups, respectively. Nearly 30% were diagnosed with ≥3 comorbidities. The most frequent comorbidities were dementia, chronic pulmonary disease and diabetes. The estimated 1-, 3- and 5-year survival rates were 90%, 70%, and 64%, respectively. Schizophrenia patients with comorbid diseases are at increased risk of hospitalization and mortality (p < 0.05). Conclusion: The nomogram, composed of age, sex, the severity of comorbidity burden, and working type could be applied to predict mortality risk in the extremely fragile patients.
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Affiliation(s)
- Mei-Chi Hsu
- Department of Nursing, I-Shou University, Kaohsiung 82445, Taiwan;
| | - Shang-Chi Lee
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan 701, Taiwan;
| | - Wen-Chen Ouyang
- Department of Geriatric Psychiatry, Jianan Psychiatric Center, Ministry of Health and Welfare, Tainan 71742, Taiwan
- Department of Nursing, Shu-Zen Junior College of Medicine and Management, Kaohsiung 82144, Taiwan
- Department of Psychiatry, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
- Correspondence: ; Tel.: +886-6-2795019
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Moreno-Küstner B, Guzman-Parra J, Pardo Y, Sanchidrián Y, Díaz-Ruiz S, Mayoral-Cleries F. Excess mortality in patients with schizophrenia spectrum disorders in Malaga (Spain): A cohort study. Epidemiol Psychiatr Sci 2021; 30:e11. [PMID: 33536113 PMCID: PMC8057505 DOI: 10.1017/s2045796020001146] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 12/01/2020] [Accepted: 12/08/2020] [Indexed: 11/07/2022] Open
Abstract
AIMS There is evidence that patients with schizophrenia spectrum disorders present higher mortality in comparison with the general population. The aim of this study was to analyse the causes of mortality and sociodemographic factors associated with mortality, standardised mortality ratios (SMRs), life expectancy and potential years of life lost (YLL) in patients with schizophrenia spectrum disorders in Spain. METHODS The study included a cohort of patients from the Malaga Schizophrenia Case Register (1418 patients; 907 males; average age 42.31 years) who were followed up for a minimum of 10 years (median = 13.43). The factors associated with mortality were analysed with a survival analysis using Cox's proportional hazards regression model. RESULTS The main causes of mortality in the cohort were circulatory disease (21.45%), cancer (17.09%) and suicide (13.09%). The SMR of the cohort was more than threefold that of the population of Malaga (3.19). The life expectancy at birth was 67.11 years old, which is more than 13 years shorter than that of the population of Malaga. The YLL was 20.74. The variables associated with a higher risk of mortality were age [adjusted hazard ratio (AHR) = 1.069, p < 0.001], male gender (AHR = 1.751, p < 0.001) and type of area of residence (p = 0.028; deprived urban zone v. non-deprived urban area, AHR = 1.460, p = 0.028). In addition, receiving welfare benefit status in comparison with employed status (AHR = 1.940, p = 0.008) was associated with increased mortality. CONCLUSIONS There is excess mortality in patients with schizophrenia spectrum disorders and also an association with age, gender, socioeconomic inequalities and receiving welfare benefits. Efforts directed towards improved living conditions could have a positive effect on reducing mortality.
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Affiliation(s)
- Berta Moreno-Küstner
- Departamento de Personalidad, Evaluación y Tratamiento Psicológico, Grupo GAP, Facultad de Psicología, Universidad de Málaga, Spain
| | - Jose Guzman-Parra
- Department of Mental Health, University General Hospital of Malaga. Biomedical Research Institute of Malaga (IBIMA), Spain
| | - Yolanda Pardo
- Department of Mental Health, University General Hospital of Malaga. Biomedical Research Institute of Malaga (IBIMA), Spain
| | - Yolanda Sanchidrián
- Departamento de Personalidad, Evaluación y Tratamiento Psicológico, Grupo GAP, Facultad de Psicología, Universidad de Málaga, Spain
| | | | - Fermin Mayoral-Cleries
- Department of Mental Health, University General Hospital of Malaga. Biomedical Research Institute of Malaga (IBIMA), Spain
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5
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Rodrigues M, Wiener JC, Stranges S, Ryan BL, Anderson KK. The risk of physical multimorbidity in people with psychotic disorders: A systematic review and meta-analysis. J Psychosom Res 2021; 140:110315. [PMID: 33307516 DOI: 10.1016/j.jpsychores.2020.110315] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 11/17/2020] [Accepted: 11/22/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND The occurrence of multiple co-occurring chronic health conditions, known as multimorbidity, is associated with decreases in quality of life for patients and poses unique challenges for healthcare systems. Since people with psychotic disorders have an excess of physical health conditions compared to the general population, they may also be at a higher risk for multimorbidity. We conducted a systematic review and meta-analysis to quantify the prevalence and excess risk of multimorbidity among people with psychotic disorders, relative to those without psychosis. METHODS We searched the MEDLINE, EMBASE, and PsycINFO databases, and conducted forward and backward citation tracing of included studies. Studies published after 1990 were included if they reported the prevalence of multiple chronic physical health conditions among people with psychotic disorders. Data on the prevalence and relative risk of multimorbidity were meta-analyzed using random effects models. RESULTS Fourteen studies met the inclusion criteria, and eight were included in the meta-analysis. Each study used a different operational definition of multimorbidity, both for the number and types of chronic conditions, which resulted in a wide range in prevalence estimates (16% to 91%). People with psychotic disorders had an increased risk of multimorbidity (RR = 1.69, 95%CI = 1.37,2.08), relative to those without psychosis. CONCLUSIONS People with psychotic disorders are more likely to experience multimorbidity than those without psychotic disorders. Clinicians treating people with psychosis should closely monitor for a range of physical health conditions. Future research examining multimorbidity among people with psychiatric illness should employ consistent definitions to better enable cross-study comparisons.
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Affiliation(s)
- Myanca Rodrigues
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, Canada
| | - Joshua C Wiener
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, Canada
| | - Saverio Stranges
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, Canada; Department of Family Medicine, Schulich School of Medicine & Dentistry, Western University, Canada; Department of Population Health, Luxembourg, Institute of Health, Strassen, Luxembourg
| | - Bridget L Ryan
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, Canada; Department of Family Medicine, Schulich School of Medicine & Dentistry, Western University, Canada
| | - Kelly K Anderson
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, Canada; Department of Psychiatry, Schulich School of Medicine & Dentistry, Western University, Canada.
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Martínez-Alés G, López-Cuadrado T, Olfson M, Bouza C. Use and outcomes of mechanical ventilation for people with severe mental disorders admitted due to natural causes: A nationwide population-based study. Gen Hosp Psychiatry 2020; 65:15-20. [PMID: 32361660 DOI: 10.1016/j.genhosppsych.2020.04.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 04/11/2020] [Accepted: 04/20/2020] [Indexed: 02/06/2023]
Abstract
OBJECTIVE To characterize temporal trends and outcomes of invasive mechanical ventilation (MV) for people with severe mental disorders (SMD) admitted due to natural causes. METHODS We identified all 224,507 hospitalizations of patients aged 15-69 who underwent MV in Spain between 2000 and 2015, excluding poisonings and injuries, and divided them by presence of an SMD diagnosis. We compared the two study groups regarding demographic and clinical characteristics and examined time trends in the incidence of MV and in-hospital mortality. RESULTS SMD patients were younger and had fewer comorbidities and lower in-hospital mortality than the non-SMD group. However, among patients admitted due to circulatory diseases, SMD patients had higher mortality risk (OR = 1.39; 95%CI = 1.22-1.59). In the SMD group, the increase in MV use quadrupled that of non-SMD patients (Average Annual Percent Change = 6.9%; 95%CI = 5.5-8.3 vs. 1.5%; 0.9-2.0, respectively). Overall in-hospital mortality declined similarly in both study groups. While the SMD group's circulatory-specific mortality also decreased, by 2015 it remained elevated in comparison to non-SMD patients (44% vs. 38%, respectively). CONCLUSION The increase in MV use due to natural causes among people with SMD outpaced that of non-SMD patients, with comparable decreasing trends in mortality. Although declining, SMD patients' higher circulatory-specific mortality risk requires further investigation.
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Affiliation(s)
- Gonzalo Martínez-Alés
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA
| | | | - Mark Olfson
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, USA
| | - Carmen Bouza
- Health Technology Assessment Agency, Carlos III Health Institute, Madrid, Spain.
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Comparison of Elixhauser and Charlson Methods for Discriminative Performance in Mortality Risk in Patients with Schizophrenic Disorders. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17072450. [PMID: 32260241 PMCID: PMC7177958 DOI: 10.3390/ijerph17072450] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Revised: 03/31/2020] [Accepted: 04/01/2020] [Indexed: 01/10/2023]
Abstract
Although Charlson Comorbidity Index scores (CCIS) and Elixhauser comorbidity index scores (ECIS) have been used to assess comorbidity in patients with schizophrenia, only CCIS, not ECIS, have been used to predict mortality in this population. This nationwide retrospective study investigated discriminative performance of mortality of these two scales in patients with schizophrenia. Exploiting Taiwan's National Health Insurance Research Database (NHRID), we identified patients diagnosed with schizophrenia discharged from hospitals between Jan 1, 1996 and Dec 31, 2007. They were followed up for subsequent death. Comorbidities presented one year prior to hospital admissions were identified and adapted to the CCIS and ECIS. Discriminatory ability was evaluated using the adjusted hazard ratio and Akaike information criterion (AIC) and Harrell's C-statistic. We identified 58,771 discharged patients with schizophrenic disorders and followed them for a mean of 10.4 years, 16.6% of whom had died. Both ECIS and CCIS were significantly associated with mortality, but ECIS had superior discriminatory ability by a lower AIC and higher Harrell's C-statistic (201231 vs. 201400; 0.856 vs. 0.854, respectively). ECIS had better discriminative performance in mortality risk than CCIS in patients with schizophrenic disorders. Its use may be encouraged for risk adjustment in this population.
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Bueno-Antequera J, Munguía-Izquierdo D. Exercise and Schizophrenia. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2020; 1228:317-332. [PMID: 32342467 DOI: 10.1007/978-981-15-1792-1_21] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Schizophrenia is a psychiatric disorder characterized by distortions of thinking and perception, with no strictly pathognomonic symptoms that can be divided into positive, negative, and cognitive symptom domains. People with schizophrenia have, between others, a reduced life expectancy and cardiorespiratory and muscular fitness and increased risk of cardiovascular disease, metabolic syndrome, obesity, hypertension, and hyperlipidemia compared to the general population. Furthermore, the economic burden of mental disorders including schizophrenia is evident and it is expected to increase to more than double by 2030. Therefore, reducing the growing burden of mental disorders such as schizophrenia should be a health priority. Improved prevention and treatment are two key factors that may reduce the burden of schizophrenia. Pharmacological- and psychotherapy-based interventions have been traditionally considered for treating schizophrenia disorders; however, there is an increasing amount of scientific evidence confirming that physical activity and physical exercise should be highly considered in prevention and treatment of schizophrenia disorders. In this chapter, we aim to summarize and discuss the research progress of physical activity and exercise in prevention and treatment of schizophrenia disorder. Specifically, we summarized and discussed the research progress of the prognostic use of physical activity for incident schizophrenia; the importance of other outcomes typically improved by physical activity/exercise such as obesity and fitness (cardiorespiratory and muscular fitness) for future schizophrenia; the research progress of the evidence of the benefits of exercise in people with schizophrenia disorders differentiating between effects of exercise on varied health outcomes, cognitive functioning, and cardiorespiratory fitness; and finally the clinical practice recommendations.
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Affiliation(s)
- Javier Bueno-Antequera
- Physical Performance Sports Research Center, Department of Sports and Computer Science, Section of Physical Education and Sports, Faculty of Sports Sciences, Universidad Pablo de Olavide, Seville, Spain
- Research Group in Development Movimiento Humano, Universidad de Zaragoza, Zaragoza, Spain
| | - Diego Munguía-Izquierdo
- Physical Performance Sports Research Center, Department of Sports and Computer Science, Section of Physical Education and Sports, Faculty of Sports Sciences, Universidad Pablo de Olavide, Seville, Spain.
- Research Group in Development Movimiento Humano, Universidad de Zaragoza, Zaragoza, Spain.
- Biomedical Research Networking Center on Frailty and Healthy Aging, Madrid, Spain.
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Colizzi M, Burnett N, Costa R, De Agostini M, Griffin J, Bhattacharyya S. Longitudinal assessment of the effect of cannabis use on hospital readmission rates in early psychosis: A 6-year follow-up in an inpatient cohort. Psychiatry Res 2018; 268:381-387. [PMID: 30121541 DOI: 10.1016/j.psychres.2018.08.005] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Revised: 07/02/2018] [Accepted: 08/01/2018] [Indexed: 11/25/2022]
Abstract
Cannabis is the most commonly used illicit drug in psychosis patients and has been identified as a risk factor for relapse and subsequent hospital readmission, having substantial economic implications. To clarify the contribution of cannabis consumption to hospital readmission, a consecutive inpatient cohort of 161 early psychosis patients was included into the study. Data on cannabis use at admission and number of hospital readmissions and length of stay (LOS, number of inpatient days) in a 6-year follow-up was extracted from clinical notes. 62.4% of the patients had lifetime cannabis use. Their admission lasted on average 54.3 ± 75 days and over the following 6 years patients had 2.2 ± 2.8 hospital readmissions, for a total of 197.4 ± 331.5 days. Cannabis use significantly predicted the number of hospital readmissions and LOS in the following 6 years, the latter remaining significant after adjusting for use of other substance. Cannabis-using patients of male gender and Black ethnicity had a longer LOS at follow-up compared to female patients and other ethnic groups, respectively. Having a history of cannabis use when admitted to an early intervention inpatient unit for psychosis is associated with a higher number of subsequent hospital readmissions and a longer LOS, especially in male and Black patients.
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Affiliation(s)
- Marco Colizzi
- National Institute for Health Research (NIHR) Biomedical Research Centre (BRC), South London and Maudsley NHS Foundation Trust, and Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, United Kingdom.
| | - Natoy Burnett
- National Institute for Health Research (NIHR) Biomedical Research Centre (BRC), South London and Maudsley NHS Foundation Trust, and Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, United Kingdom
| | - Rosalia Costa
- Gender Identity Development Service, Tavistock and Portman NHS Foundation Trust, Tavistock Centre, London NW3 5BA, United Kingdom; Azienda Unità Sanitaria Locale Taranto, Dipartimento Salute Mentale, Centro Salute Mentale Taranto, Polo Centrale, Taranto 74123, Italy
| | - Mattia De Agostini
- National Institute for Health Research (NIHR) Biomedical Research Centre (BRC), South London and Maudsley NHS Foundation Trust, and Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, United Kingdom; Alma Mater Studiorum, University of Bologna, Bologna 40126, Italy
| | - James Griffin
- National Institute for Health Research (NIHR) Biomedical Research Centre (BRC), South London and Maudsley NHS Foundation Trust, and Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, United Kingdom
| | - Sagnik Bhattacharyya
- National Institute for Health Research (NIHR) Biomedical Research Centre (BRC), South London and Maudsley NHS Foundation Trust, and Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, United Kingdom.
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10
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Nishanth KN, Chadda RK, Sood M, Biswas A, Lakshmy R. Physical comorbidity in schizophrenia & its correlates. Indian J Med Res 2018; 146:281-284. [PMID: 29265031 PMCID: PMC5761040 DOI: 10.4103/ijmr.ijmr_1510_15] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
The presence of common physical comorbidities, their demographic and clinical correlates and impact on functioning was assessed in 100 patients with schizophrenia. The patients had a mean age of 35.12±10.7 yr with mean duration of illness of 8.3±0.58 years. Seventy per cent were detected to have a comorbid physical condition. Common conditions included hypertension (21%), diabetes mellitus (15%) and anaemia (12%). Increasing age, being female, being married, longer duration of illness and longer duration of treatment were associated with higher risk of having a comorbid physical illness. Further studies need to be done with a large sample to confirm these findings.
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Affiliation(s)
- K N Nishanth
- Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India
| | - R K Chadda
- Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India
| | - M Sood
- Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India
| | - A Biswas
- Department of Internal Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - R Lakshmy
- Department of Cardiac Biochemistry, All India Institute of Medical Sciences, New Delhi, India
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11
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Avila C, Holloway AC, Hahn MK, Morrison KM, Restivo M, Anglin R, Taylor VH. An Overview of Links Between Obesity and Mental Health. Curr Obes Rep 2015; 4:303-10. [PMID: 26627487 DOI: 10.1007/s13679-015-0164-9] [Citation(s) in RCA: 180] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The American Medical Association recently recognized obesity as both an illness and a leading cause of preventable death and chronic disease. This association is not only linked to physical health outcomes, however, as obesity has also been extensively associated with mental illness as well. Both obesity and severe mental illness decrease quality of life and are associated with an increase in disability, morbidity, and mortality, and when they occur together, these adverse health outcomes are magnified. Despite educational campaigns, increased awareness, and improved treatment options, the high prevalence of mental illness and comorbid obesity remains a serious problem. This review examines this overlap, highlighting clinical and biological factors that have been linked to this association in order to improve our understanding and help elucidate potential therapeutic avenues.
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Affiliation(s)
- Christian Avila
- McMaster University, 1280 Main Street West, HSC 3N52A, Hamilton, ON, L8S 4K1, Canada
- Department of Psychiatry, University of Toronto, 76 Grenville Street, Toronto, ON, M5S 1B2, Canada
| | - Alison C Holloway
- McMaster University, 1280 Main Street West, HSC 3N52A, Hamilton, ON, L8S 4K1, Canada
| | - Margaret K Hahn
- Department of Psychiatry, University of Toronto, 76 Grenville Street, Toronto, ON, M5S 1B2, Canada
| | - Katherine M Morrison
- McMaster University, 1280 Main Street West, HSC 3N52A, Hamilton, ON, L8S 4K1, Canada
| | - Maria Restivo
- McMaster University, 1280 Main Street West, HSC 3N52A, Hamilton, ON, L8S 4K1, Canada
| | - Rebecca Anglin
- McMaster University, 1280 Main Street West, HSC 3N52A, Hamilton, ON, L8S 4K1, Canada
| | - Valerie H Taylor
- Department of Psychiatry, University of Toronto, 76 Grenville Street, Toronto, ON, M5S 1B2, Canada.
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12
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Rate of general medical conditions in a sample of psychiatric outpatients in a general hospital. MIDDLE EAST CURRENT PSYCHIATRY 2013. [DOI: 10.1097/01.xme.0000426531.96773.ca] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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13
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San L, Bernardo M, Gómez A, Peña M. Factors associated with relapse in patients with schizophrenia. Int J Psychiatry Clin Pract 2013; 17:2-9. [PMID: 22731397 DOI: 10.3109/13651501.2012.687452] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
OBJECTIVE To assess risk factors for relapse in patients with schizophrenia attended in daily practice. METHODS Patients with schizophrenia admitted consecutively to short-stay/acute-care psychiatric units over a 6-month period were eligible. Variables statistically significant in the univariate logistic regression analysis were then subjected to multivariate analysis. RESULTS The study population included 1646 patients (67.6% men). In the univariate analysis, low family support, duration of illness > 5 years, number of previous hospitalizations, cocaine and cannabis consumption, and number of different antipsychotic drug classes were risk factors for relapse. In the multivariate analysis, number of previous hospitalizations (odds ratio [OR] 1.29, 95% confidence interval [CI] 1.21-1.36) and number of different antipsychotics previously used (OR = 1.13, 95% CI 1.03-1.24) were significant predictors of relapse. The absence of cannabis consumption was a protective factor (OR = 0.72, 95% CI 0.58-0.89). Neither adherence to treatment in the previous 3 years nor type of antipsychotic regimen was significantly associated with relapse. CONCLUSIONS Number of previous hospitalizations and number of different types of antipsychotic drugs were associated with relapse. Absence of cannabis consumption was a protective factor.
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Affiliation(s)
- Luis San
- Department of Child and Adolescent Psychiatry, Hospital Sant Joan de Déu , CIBERSAM, Esplugues del Llobregat, Barcelona, Spain.
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14
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Morden NE, Lai Z, Goodrich DE, MacKenzie T, McCarthy JF, Austin K, Welsh DE, Bartels S, Kilbourne AM. Eight-year trends of cardiometabolic morbidity and mortality in patients with schizophrenia. Gen Hosp Psychiatry 2012; 34:368-79. [PMID: 22516216 PMCID: PMC3383866 DOI: 10.1016/j.genhosppsych.2012.02.009] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2011] [Revised: 02/15/2012] [Accepted: 02/17/2012] [Indexed: 11/15/2022]
Abstract
OBJECTIVE We examined cardiometabolic disease and mortality over 8 years among individuals with and without schizophrenia. METHOD We compared 65,362 patients in the Veteran Affairs (VA) health system with schizophrenia to 65,362 VA patients without serious mental illness (non-SMI) matched on age, service access year and location. The annual prevalence of diagnosed cardiovascular disease, diabetes, dyslipidemia, hypertension, obesity, and all-cause and cause-specific mortality was compared for fiscal years 2000-2007. Mean years of potential life lost (YPLLs) were calculated annually. RESULTS The cohort was mostly male (88%) with a mean age of 54 years. Cardiometabolic disease prevalence increased in both groups, with non-SMI patients having higher disease prevalence in most years. Annual between-group differences ranged from <1% to 6%. Annual mortality was stable over time for schizophrenia (3.1%) and non-SMI patients (2.6%). Annual mean YPLLs increased from 12.8 to 15.4 in schizophrenia and from 11.8 to 14.0 for non-SMI groups. CONCLUSIONS VA patients with and without schizophrenia show increasing but similar prevalence rates of cardiometabolic diseases. YPLLs were high in both groups and only slightly higher among patients with schizophrenia. The findings highlight the complex population served by the VA while suggesting a smaller mortality impact from schizophrenia than previously reported.
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Affiliation(s)
- Nancy E. Morden
- Dartmouth Medical School, Department of Community and Family Medicine,; Hanover, NH, USA
- The Dartmouth Institute for Health Policy and Clinical Practice; Lebanon, NH, USA
- VA White River Junction Rural Health Resource Center – Eastern Region, White River Junction, VT, USA
| | - Zongshan Lai
- VA Ann Arbor Center for Clinical Management Research Ann Arbor, MI, USA
- University of Michigan Medical School, Department of Psychiatry; Ann Arbor, MI, USA
| | - David E. Goodrich
- VA Ann Arbor Center for Clinical Management Research Ann Arbor, MI, USA
- University of Michigan Medical School, Department of Psychiatry; Ann Arbor, MI, USA
| | - Todd MacKenzie
- Dartmouth Medical School, Department of Community and Family Medicine,; Hanover, NH, USA
- The Dartmouth Institute for Health Policy and Clinical Practice; Lebanon, NH, USA
- VA White River Junction Rural Health Resource Center – Eastern Region, White River Junction, VT, USA
| | - John F. McCarthy
- VA Ann Arbor Center for Clinical Management Research Ann Arbor, MI, USA
- University of Michigan Medical School, Department of Psychiatry; Ann Arbor, MI, USA
| | - Karen Austin
- VA Ann Arbor Center for Clinical Management Research Ann Arbor, MI, USA
- University of Michigan Medical School, Department of Psychiatry; Ann Arbor, MI, USA
| | - Deborah E. Welsh
- VA Ann Arbor Center for Clinical Management Research Ann Arbor, MI, USA
- University of Michigan Medical School, Department of Psychiatry; Ann Arbor, MI, USA
| | - Stephen Bartels
- Dartmouth Medical School, Department of Community and Family Medicine,; Hanover, NH, USA
- Dartmouth Medical School, Department of Psychiatry; Hanover, NH, USA
| | - Amy M. Kilbourne
- VA Ann Arbor Center for Clinical Management Research Ann Arbor, MI, USA
- University of Michigan Medical School, Department of Psychiatry; Ann Arbor, MI, USA
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