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Chen PH, Hsiao CY, Chiang SJ, Chung KH, Tsai SY. Association of lipids and inflammatory markers with left ventricular wall thickness in patients with bipolar disorder. J Affect Disord 2024; 358:12-18. [PMID: 38705523 DOI: 10.1016/j.jad.2024.05.020] [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: 01/04/2024] [Revised: 04/04/2024] [Accepted: 05/02/2024] [Indexed: 05/07/2024]
Abstract
BACKGROUND Individuals with bipolar disorder (BD) face a high risk of heart failure and left ventricular (LV) dysfunction. Despite strong evidence that high LV relative wall thickness (RWT) is a risk marker for heart failure, few studies have evaluated LV RWT and aggravating factors in individuals with BD. METHODS We recruited 104 participants (52 patients with BD and 52 age- and sex-matched mentally healthy controls) to undergo echocardiographic imaging and biochemistry, high-sensitivity C-reactive protein (hs-CRP), and blood cell count measurements. LV RWT was estimated using the following equation: (2 × LV posterior wall end-diastolic thickness)/LV end-diastolic diameter. Clinical data were obtained through interviews and chart reviews. RESULTS The BD group exhibited a significantly greater LV RWT (Cohen's d = 0.53, p = 0.003) and a less favorable mitral valve E/A ratio (Cohen's d = 0.54, p = 0.023) and LV global longitudinal strain (Cohen's d = 0.57, p = 0.047) than did the control group. Multiple linear regression revealed that in the BD group, serum triglyceride levels (β = 0.466, p = 0.001), platelet-to-lymphocyte ratios (β = 0.324, p = 0.022), and hs-CRP levels (β = 0.289, p = 0.043) were all significantly and positively associated with LV RWT. LIMITATIONS This study applied a cross-sectional design, meaning that the direction of causation could not be inferred. CONCLUSIONS Patients with BD are at a risk of heart failure, as indicated by their relatively high LV RWT. Lipid levels and systemic inflammation may explain this unfavorable association.
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Affiliation(s)
- Pao-Huan Chen
- Department of Psychiatry, Taipei Medical University Hospital, Taipei, Taiwan; Psychiatric Research Center, Taipei Medical University Hospital, Taipei, Taiwan; Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Cheng-Yi Hsiao
- Division of Cardiology, Department of Internal Medicine, Taipei Medical University Hospital, Taipei, Taiwan; Cardiovascular Research Center, Taipei Medical University Hospital, Taipei, Taiwan; Taipei Heart Institute, Taipei Medical University, Taipei, Taiwan; Division of Cardiology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Shuo-Ju Chiang
- Division of Cardiology, Department of Internal Medicine, Taipei City Hospital Yangming Branch, Taipei, Taiwan; School of Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan
| | - Kuo-Hsuan Chung
- Department of Psychiatry, Taipei Medical University Hospital, Taipei, Taiwan; Psychiatric Research Center, Taipei Medical University Hospital, Taipei, Taiwan; Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Shang-Ying Tsai
- Department of Psychiatry, Taipei Medical University Hospital, Taipei, Taiwan; Psychiatric Research Center, Taipei Medical University Hospital, Taipei, Taiwan; Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
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Campanale A, Inserra A, Comai S. Therapeutic modulation of the kynurenine pathway in severe mental illness and comorbidities: A potential role for serotonergic psychedelics. Prog Neuropsychopharmacol Biol Psychiatry 2024; 134:111058. [PMID: 38885875 DOI: 10.1016/j.pnpbp.2024.111058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 05/15/2024] [Accepted: 06/14/2024] [Indexed: 06/20/2024]
Abstract
Mounting evidence points towards a crucial role of the kynurenine pathway (KP) in the altered gut-brain axis (GBA) balance in severe mental illness (SMI, namely depression, bipolar disorder, and schizophrenia) and cardiometabolic comorbidities. Preliminary evidence shows that serotonergic psychedelics and their analogues may hold therapeutic potential in addressing the altered KP in the dysregulated GBA in SMI and comorbidities. In fact, aside from their effects on mood, psychedelics elicit therapeutic improvement in preclinical models of obesity, metabolic syndrome, and vascular inflammation, which are highly comorbid with SMI. Here, we review the literature on the therapeutic modulation of the KP in the dysregulated GBA in SMI and comorbidities, and the potential application of psychedelics to address the altered KP in the brain and systemic dysfunction underlying SMI and comorbidities. Psychedelics might therapeutically modulate the KP in the altered GBA in SMI and comorbidities either directly, via altering the metabolic pathway by influencing the rate-limiting enzymes of the KP and affecting the levels of available tryptophan, or indirectly, by affecting the gut microbiome, gut metabolome, metabolism, and the immune system. Despite promising preliminary evidence, the mechanisms and outcomes of the KP modulation with psychedelics in SMI and systemic comorbidities remain largely unknown and require further investigation. Several concerns are discussed surrounding the potential side effects of this approach in specific cohorts of individuals with SMI and systemic comorbidities.
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Affiliation(s)
| | - Antonio Inserra
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Stefano Comai
- Department of Psychiatry, McGill University, Montreal, QC, Canada; Department of Pharmaceutical and Pharmacological Sciences, University of Padova, PD, Italy.; IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Biomedical Sciences, University of Padua, Padua, Italy.
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3
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de Moraes FCA, Sudo RYU, Souza MEC, Fernandes MR, Dos Santos NPC. The incidence risk of gynecological cancer by antipsychotic use: a meta-analysis of 50,402 patients. BMC Cancer 2024; 24:712. [PMID: 38858638 PMCID: PMC11163728 DOI: 10.1186/s12885-024-12481-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Accepted: 06/05/2024] [Indexed: 06/12/2024] Open
Abstract
BACKGROUND Female gynecological cancers represent a serious public health problem, with 1,398,601 new diagnoses and 671,875 deaths per year worldwide. Antipsychotics are often used in psychiatric disorders, including schizophrenia, bipolar disorder, and major depression. It is estimated that the prescription of these drugs is linked to 1,800 deaths a year in the United States, but their association with cancer remains controversial. METHODS We searched PubMed, Scopus, and Web of Science databases for studies reporting the correlation in the incidence risk of gynecological cancer by antipsychotic use. We used DerSimonian and Laird random-effect models to compute logit transformed odds ratio (OR) for the primary binary endpoint with 95% confidence interval (CI). Heterogeneity was assessed through effect size width along with I-squared and Tau-squared statistics. Review Manager 5.4.1. was used for statistical analyses. A p-value of < 0.05 denoted statistically significant. RESULTS 50,402 patients were included, of whom 778 (1,54%) took antipsychotic medication for at least 1 year. 1,086 (2,15%) with ovarian cancer and 49,316 (97,85%) with endometrial cancer. Antipsychotic use (OR 1.50; 1.06 to 2.13 95% CI; p-value 0.02), hypertension (OR 1.50; 95% CI 1.06 to 2.13; p-value < 0.01), nulliparity (OR 1.98; 95% CI 1.53 to 2.57; p-value < 0.01) and multiparity (OR 0.53; 95% CI 0.41 to 0.69; p-value < 0.01) showed significantly different distributions between groups of cancer and cancer-free patients. The primary endpoint of incidence risk of gynecological cancer by antipsychotic therapy showed a statistically significant difference (OR 1.67; 95% CI 1.02 to 2.73; p-value < 0.05) against the use of antipsychotic drugs. CONCLUSIONS Our meta-analysis showed that the use of antipsychotic drugs increases the risk of gynecological cancers, particularly endometrial cancer. This result should be weighed against the potential effects of treatment for a balanced prescribing decision.
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Affiliation(s)
- Francisco Cezar Aquino de Moraes
- Oncology Research Center, University Hospital João de Barros de Barreto, Federal University of Pará, Rua dos Mundurucus, n?4487, Belém, PA, 66073-000, Brazil.
| | | | | | - Marianne Rodrigues Fernandes
- Oncology Research Center, University Hospital João de Barros de Barreto, Federal University of Pará, Rua dos Mundurucus, n?4487, Belém, PA, 66073-000, Brazil
| | - Ney Pereira Carneiro Dos Santos
- Oncology Research Center, University Hospital João de Barros de Barreto, Federal University of Pará, Rua dos Mundurucus, n?4487, Belém, PA, 66073-000, Brazil
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Kouakou MR, Cabrera-Mendoza B, Pathak GA, Cannon TD, Polimanti R. Genetically Informed Study Highlights Income-Independent Effect of Schizophrenia Liability on Mental and Physical Health. Schizophr Bull 2024:sbae093. [PMID: 38848523 DOI: 10.1093/schbul/sbae093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/09/2024]
Abstract
BACKGROUND AND HYPOTHESIS Individuals with schizophrenia (SCZ) suffer from comorbidities that substantially reduce their life expectancy. Socioeconomic inequalities could contribute to many of the negative health outcomes associated with SCZ. STUDY DESIGN We investigated genome-wide datasets related to SCZ (52 017 cases and 75 889 controls) from the Psychiatric Genomics Consortium, household income (HI; N = 361 687) from UK Biobank, and 2202 medical endpoints assessed in up to 342 499 FinnGen participants. A phenome-wide genetic correlation analysis of SCZ and HI was performed, also assessing whether SCZ genetic correlations were influenced by the HI effect on SCZ. Additionally, SCZ and HI direct effects on medical endpoints were estimated using multivariable Mendelian randomization (MR). STUDY RESULTS SCZ and HI showed overlapping genetic correlations with 70 traits (P < 2.89 × 10-5), including mental health, substance use, gastrointestinal illnesses, reproductive outcomes, liver diseases, respiratory problems, and musculoskeletal phenotypes. SCZ genetic correlations with these traits were not affected by the HI effect on SCZ. Considering Bonferroni multiple testing correction (P < 7.14 × 10-4), MR analysis indicated that SCZ and HI may affect medical abortion (SCZ OR = 1.07; HI OR = 0.78), panic disorder (SCZ OR = 1.20; HI OR = 0.60), personality disorders (SCZ OR = 1.31; HI OR = 0.67), substance use (SCZ OR = 1.2; HI OR = 0.68), and adjustment disorders (SCZ OR = 1.18; HI OR = 0.78). Multivariable MR analysis confirmed that SCZ effects on these outcomes were independent of HI. CONCLUSIONS The effect of SCZ genetic liability on mental and physical health may not be strongly affected by socioeconomic differences. This suggests that SCZ-specific strategies are needed to reduce negative health outcomes affecting patients and high-risk individuals.
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Affiliation(s)
- Manuela R Kouakou
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Brenda Cabrera-Mendoza
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
| | - Gita A Pathak
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
| | - Tyrone D Cannon
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychology, Yale University, New Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
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Verdoux H, Quiles C, de Leon J. Optimizing antidepressant and clozapine co-prescription in clinical practice: A systematic review and expert recommendations. Schizophr Res 2024; 268:243-251. [PMID: 37852856 DOI: 10.1016/j.schres.2023.10.003] [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: 05/28/2023] [Revised: 10/05/2023] [Accepted: 10/06/2023] [Indexed: 10/20/2023]
Abstract
OBJECTIVES To synthesize the information relevant for clinical practice on clozapine-antidepressant co-prescription concerning pharmacokinetic drug-drug interactions (DDI), adverse drug reactions (ADRs) associated with the co-prescription, antidepressant add-on for clozapine-resistant symptoms and antidepressant add-on for clozapine-induced ADRs. METHODS Articles were identified with MEDLINE, Web of Sciences and PsycINFO search from inception through April 2023. Data were synthesized narratively. RESULTS ADRs are most often induced by the co-prescription of antidepressants that inhibit CYP enzymes (fluvoxamine, fluoxetine, paroxetine). Fluvoxamine add-on is hazardous because of its potent inhibition of clozapine metabolism and has few indications (lowering daily number of clozapine tablets, reducing norclozapine-induced metabolic disturbances and other dose-dependent clozapine-induced ADRs). ADR frequency may be reduced by therapeutic drug monitoring and knowledge of other factors impacting clozapine metabolism (pneumonia, inflammation, smoking, etc.). Improvement of negative symptoms is the most documented beneficial effect of antidepressant add-on for clozapine-resistant psychotic symptoms. The add-on antidepressant should be chosen according to its safety profile regarding DDI with clozapine: antidepressants inhibiting clozapine metabolism or increasing the anticholinergic load should be avoided. Other indications of antidepressant add-on (affective or obsessive compulsive symptoms, sialorrhea, and enuresis) are poorly documented. CONCLUSION Antidepressant add-on to clozapine is associated with potential benefits in clozapine users as this strategy may contribute to reduce the burden of clozapine-resistant symptoms or of clozapine-induced ADRs. Further studies are needed to determine whether antidepressant add-on can reduce the risk of clozapine discontinuation.
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Affiliation(s)
- Hélène Verdoux
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, Team Pharmacoepidemiology, UMR 1219, F-33000 Bordeaux, France.
| | - Clélia Quiles
- Centre Hospitalier Charles Perrens, F-33000 Bordeaux, France
| | - Jose de Leon
- Mental Health Research Center at Eastern State Hospital, Lexington, KY, Psychiatry and Neurosciences Research Group (CTS-549), USA; Institute of Neurosciences, University of Granada, Granada, Spain; Biomedical Research Centre in Mental Health Net (CIBERSAM), Santiago Apostol Hospital, University of the Basque Country, Vitoria, Spain
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Mohanty K, Gandhi S, Krishna Prasad M, John AP, Bhaskarapillai B, Malo P, Thirthalli J. Effectiveness of lifestyle intervention on prevention/management of antipsychotic-induced weight gain among persons with severe mental illness: A systematic review and meta-analysis. J Health Psychol 2024; 29:690-706. [PMID: 38251661 DOI: 10.1177/13591053241227384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2024] Open
Abstract
Individualized lifestyle interventions using motivational interviewing (MI) approach are recommended for persons with severe mental illness (SMI) for effective weight management. The aim of this meta-analysis was to assess the effectiveness of various lifestyle interventions that addressed obesity among persons with SMI. Twelve RCTs were assessed by individual reviewers using revised cochrane risk-of-bias tool (RoB 2). The standardized mean difference (SMD) was calculated with a 95% CI. The age of participants was between 18 and 70 years. Waist circumference showed an SMD of -0.09 (-0.22, 0.03), weight -0.03 (-0.10, 0.15) and BMI -0.07 (-0.07, 0.22). The findings in this meta-analysis revealed that though lifestyle interventions were statistically insignificant in reducing antipsychotic induced weight gain among persons with SMI, they show changes in intervention group. Psychosocial management along with lifestyle interventions, and MI are effective in the management of antipsychotic induced weight gain.
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Brouwer JMJL, Wardenaar KJ, Liemburg EJ, Doornbos B, Mulder H, Cath DC. High persistence and low treatment rates of metabolic syndrome in patients with mood and anxiety disorders: A naturalistic follow-up study. J Affect Disord 2024; 354:451-462. [PMID: 38494132 DOI: 10.1016/j.jad.2024.03.042] [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: 10/08/2023] [Revised: 02/21/2024] [Accepted: 03/09/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND Patients with affective and anxiety disorders are at risk of metabolic syndrome (MetS) and, consequently, cardiovascular disease and premature death. In this study, the course and treatment of MetS was investigated using longitudinal data from a naturalistic sample of affective- and anxiety-disordered outpatients (Monitoring Outcome of psychiatric PHARmacotherapy [MOPHAR]). METHODS Demographics, clinical characteristics, medication use, and MetS components were obtained for n = 2098 patients at baseline and, in a FU-subsample of n = 507 patients, after a median follow-up (FU) of 11 months. Furthermore, pharmacological treatment rates of MetS were investigated at baseline and FU. Finally, demographic and clinical determinants of change in MetS (component) scores were investigated. RESULTS At baseline, 34.6 % of n = 2098 patients had MetS, 41.4 % of whom received treatment. Of patients with persisting MetS, 46.1 % received treatment for one (or more) MetS component(s) at baseline, and 56.6 % received treatment at FU. Treatment rates of solely elevated blood pressure and reduced HDL-cholesterol did significantly, but modestly, improve. Higher age, male sex, smoking behavior, low education, diabetes, and depressive versus anxiety disorder were predictors of worse outcome at FU on at least one MetS component. LIMITATIONS We did not have data on lifestyle interventions as a form of treatment, which might partly have explained the observed low pharmacotherapeutic treatment rates. CONCLUSION MetS (components) show high persistence rates in affective- and anxiety-disordered patients, and are, despite adequate monitoring, undertreated over time. This indicates that adherence and implementation of monitoring protocols should be crucially improved in psychiatric outpatients in secondary care.
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Affiliation(s)
- Jurriaan M J L Brouwer
- Department of Clinical Pharmacy, Wilhelmina Hospital Assen, Assen, the Netherlands; GGZ Drenthe Mental Health Services, Assen, the Netherlands; Research School of Behavioral and Cognitive Neurosciences, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands.
| | - Klaas J Wardenaar
- GGZ Drenthe Mental Health Services, Assen, the Netherlands; Department of Psychiatry, University Medical Center Groningen, Interdisciplinary Center Psychopathology and Emotion regulation, University of Groningen, Groningen, the Netherlands; Faculty of Behavioural and Social Sciences, University of Groningen, Groningen, the Netherlands
| | - Edith J Liemburg
- GGZ Drenthe Mental Health Services, Assen, the Netherlands; Rob Giel Research Center, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Bennard Doornbos
- Lentis Psychiatric Institute, Lentis Research, Groningen, the Netherlands
| | - Hans Mulder
- Department of Clinical Pharmacy, Wilhelmina Hospital Assen, Assen, the Netherlands
| | - Danielle C Cath
- GGZ Drenthe Mental Health Services, Assen, the Netherlands; Research School of Behavioral and Cognitive Neurosciences, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands; Rob Giel Research Center, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
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Li Q, Hao Z, Xu H, Wang X. Investigation on the lipid-lowering effect and mechanism by combining turmeric with hawthorn in C57BL/6 obese mice. J Food Sci 2024. [PMID: 38804852 DOI: 10.1111/1750-3841.17123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 04/18/2024] [Accepted: 04/26/2024] [Indexed: 05/29/2024]
Abstract
Study on the hypolipidemic effect of turmeric combined with hawthorn on C57BL/6 obese mice and its possible mechanism. C57 mice were fed with 60% high-fat diet for 8 weeks to establish an obesity model, and 4 mice were slaughtered to verify whether the modeling was successful. The successful mice were divided into model group (HFD), positive group (high fat feed group [HFD] + simvastatin group [SIM]), turmeric group (HFD + TUR), hawthorn group (HFD + HAW), and para-medicine group (HFD + para-drug group [DOU]) for 4 weeks by gavage intervention. Different intervention groups had certain lipid-lowering effects, and the para-medicine group showed significant differences (p < 0.05, p < 0.01, p < 0.001) in reducing serum total cholesterol, triglycerides, low-density lipoprotein cholesterol, glutamic acid transaminase (ALT), glutamic acid transaminase (AST), and increasing high-density lipoprotein cholesterol. In the para-medicine group, the protein expression of peroxisome proliferator-activated receptor γ, fatty acid synthase, platelet-reactive protein receptor 36, and CCAAT/enhancer binding protein α were significantly downregulated, and the protein expression of carnitine palmitoyl transferase1 and peroxisome proliferator-activated receptor α protein expression (p < 0.01, p < 0.001), thus suggesting that turmeric and hawthorn are superior to turmeric and hawthorn alone in enhancing lipid metabolism-related mechanisms. Combined effects of turmeric and hawthorn improve lipid metabolism in mice, protect the liver, and improve the protein expression of liver-related genes. This study can lay the theoretical basis for the future association of medicinal food products and the development of related weight loss products.
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Affiliation(s)
- Qiang Li
- School of Tea and Food Science & Technology, Anhui Agricultural University, Hefei, China
| | - Zongwei Hao
- State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, China
| | - Huajian Xu
- Chongqing Key Laboratory of Speciality Food Co-Built by Sichuan and Chongqing, College of Food Science, Southwest University, Chongqing, China
| | - Xueyan Wang
- School of Tea and Food Science & Technology, Anhui Agricultural University, Hefei, China
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Guinart D, Fagiolini A, Fusar-Poli P, Giordano GM, Leucht S, Moreno C, Correll CU. On the Road to Individualizing Pharmacotherapy for Adolescents and Adults with Schizophrenia - Results from an Expert Consensus Following the Delphi Method. Neuropsychiatr Dis Treat 2024; 20:1139-1152. [PMID: 38812809 PMCID: PMC11133879 DOI: 10.2147/ndt.s456163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 04/27/2024] [Indexed: 05/31/2024] Open
Abstract
Introduction Schizophrenia is a severe mental illness that usually begins in late adolescence or early adulthood. Current pharmacological treatments, while acceptably effective for many patients, are rarely clinically tailored or individualized. The lack of sufficient etiopathological knowledge of the disease, together with overall comparable effect sizes for efficacy between available antipsychotics and the absence of clinically actionable biomarkers, has hindered the advance of individualized medicine in the treatment of schizophrenia. Nevertheless, some degree of stratification based on clinical markers could guide treatment choices and help clinicians move toward individualized psychiatry. To this end, a panel of experts met to formally discuss the current approach to individualized treatment in schizophrenia and to define how treatment individualization could help improve clinical outcomes. Methods A task force of seven experts iteratively developed, evaluated, and refined questionnaire items, which were then evaluated using the Delphi method. Descriptive statistics were used to summarize and rank expert responses. Expert discussion, informed by the results of a scoping review on personalizing the pharmacologic treatment of adults and adolescents with schizophrenia, ultimately generated recommendations to guide individualized pharmacologic treatment in this population. Results There was substantial agreement among the expert group members, resulting in the following recommendations: 1) individualization of treatment requires consideration of the patient's diagnosis, clinical presentation, comorbidities, previous treatment response, drug tolerability, adherence patterns, and social factors; 2) patient preferences should be considered in a shared decision-making approach; 3) identified barriers to personalized care that need to be overcome include the lack of actionable biomarkers and mechanistic similarities between available treatments, but digital tools should be increasingly used to enhance individualized treatment. Conclusion Individualized care can help provide effective, tailored treatments based on an individual's clinical characteristics, disease trajectory, family and social environment, and goals and preferences.
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Affiliation(s)
- Daniel Guinart
- Institut de Salut Mental, Parc de Salut Mar, Barcelona, Spain
- Hospital Del Mar Research Institute, CIBERSAM, Barcelona, Spain
- Department of Psychiatry, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Andrea Fagiolini
- Department of Molecular Medicine, University of Siena School of Medicine, Siena, Italy
| | - Paolo Fusar-Poli
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Department of Psychosis Studies, King’s College London, London, UK
- Outreach and Support in South-London (OASIS) Service, South London and Maudsley (Slam) NHS Foundation Trust, London, UK
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany
| | | | - Stefan Leucht
- Technical University of Munich, TUM School of Medicine and Health, Department of Psychiatry and Psychotherapy, Munich, Germany
| | - Carmen Moreno
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (LISGM), Madrid, Spain
- Centro de Investigación Biomedica en Red (CIBERSAM), ISCIII, Madrid, Spain
- School of Medicine, Universidad Complutense, Madrid, Spain
| | - Christoph U Correll
- Department of Psychiatry, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Psychiatry, The Zucker Hillside Hospital, New York, NY, USA
- Department of Child and Adolescent Psychiatry, Charité Universitatsmedizin, Berlin, Germany
- German Center for Mental Health (DZPG), Partner Site, Berlin, Germany
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10
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Basten M, Pan KY, van Tuijl LA, de Graeff A, Dekker J, Hoogendoorn AW, Lamers F, Ranchor AV, Vermeulen R, Portengen L, Voogd AC, Abell J, Awadalla P, Beekman ATF, Bjerkeset O, Boyd A, Cui Y, Frank P, Galenkamp H, Garssen B, Hellingman S, Huisman M, Huss A, Keats MR, Kok AAL, Krokstad S, van Leeuwen FE, Luik AI, Noisel N, Payette Y, Penninx BWJH, Rissanen I, Roest AM, Rosmalen JGM, Ruiter R, Schoevers RA, Soave D, Spaan M, Steptoe A, Stronks K, Sund ER, Sweeney E, Twait EL, Teyhan A, Verschuren WMM, van der Willik KD, Geerlings MI. Psychosocial factors, health behaviors and risk of cancer incidence: Testing interaction and effect modification in an individual participant data meta-analysis. Int J Cancer 2024; 154:1745-1759. [PMID: 38289012 DOI: 10.1002/ijc.34852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 11/30/2023] [Accepted: 12/04/2023] [Indexed: 03/14/2024]
Abstract
Depression, anxiety and other psychosocial factors are hypothesized to be involved in cancer development. We examined whether psychosocial factors interact with or modify the effects of health behaviors, such as smoking and alcohol use, in relation to cancer incidence. Two-stage individual participant data meta-analyses were performed based on 22 cohorts of the PSYchosocial factors and CAncer (PSY-CA) study. We examined nine psychosocial factors (depression diagnosis, depression symptoms, anxiety diagnosis, anxiety symptoms, perceived social support, loss events, general distress, neuroticism, relationship status), seven health behaviors/behavior-related factors (smoking, alcohol use, physical activity, body mass index, sedentary behavior, sleep quality, sleep duration) and seven cancer outcomes (overall cancer, smoking-related, alcohol-related, breast, lung, prostate, colorectal). Effects of the psychosocial factor, health behavior and their product term on cancer incidence were estimated using Cox regression. We pooled cohort-specific estimates using multivariate random-effects meta-analyses. Additive and multiplicative interaction/effect modification was examined. This study involved 437,827 participants, 36,961 incident cancer diagnoses, and 4,749,481 person years of follow-up. Out of 744 combinations of psychosocial factors, health behaviors, and cancer outcomes, we found no evidence of interaction. Effect modification was found for some combinations, but there were no clear patterns for any particular factors or outcomes involved. In this first large study to systematically examine potential interaction and effect modification, we found no evidence for psychosocial factors to interact with or modify health behaviors in relation to cancer incidence. The behavioral risk profile for cancer incidence is similar in people with and without psychosocial stress.
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Affiliation(s)
- Maartje Basten
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
- Department of Health Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Mental Health program, Amsterdam, The Netherlands
- Amsterdam Public Health, Health Behaviors and Chronic Diseases program, Amsterdam, The Netherlands
| | - Kuan-Yu Pan
- Amsterdam Public Health, Mental Health program, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Unit of Occupational Medicine, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Lonneke A van Tuijl
- Department of Health Psychology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Clinical Psychology, Utrecht University, Utrecht, The Netherlands
| | - Alexander de Graeff
- Department of Medical Oncology, University Medical Center Utrecht, The Netherlands
| | - Joost Dekker
- Amsterdam Public Health, Mental Health program, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Adriaan W Hoogendoorn
- Amsterdam Public Health, Mental Health program, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Femke Lamers
- Amsterdam Public Health, Mental Health program, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Adelita V Ranchor
- Department of Health Psychology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Lützen Portengen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Adri C Voogd
- Department of Epidemiology, Maastricht University, Maastricht, The Netherlands
- Department of Research and Development, Netherlands Comprehensive Cancer Organization (IKNL), Utrecht, The Netherlands
| | - Jessica Abell
- Department of Behavioural Science and Health, University College London, London, UK
| | - Philip Awadalla
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Aartjan T F Beekman
- Amsterdam Public Health, Mental Health program, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Ottar Bjerkeset
- Faculty of Nursing and Health Sciences, Nord University, Levanger, Norway
- Faculty of Medicine and Health Sciences, Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Andy Boyd
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Yunsong Cui
- Atlantic Partnership for Tomorrow's Health, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Philipp Frank
- Department of Behavioural Science and Health, University College London, London, UK
| | - Henrike Galenkamp
- Department of Public and Occupational Health, Amsterdam UMC, and Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam, The Netherlands
| | - Bert Garssen
- Department of Health Psychology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Sean Hellingman
- Department of Mathematics, Wilfrid Laurier University, Waterloo, Canada
| | - Martijn Huisman
- Department of Epidemiology & Data Science, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Sociology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Aging & Later Life, Amsterdam, The Netherlands
| | - Anke Huss
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Melanie R Keats
- School of Health and Human Performance, Faculty of Health, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Almar A L Kok
- Amsterdam Public Health, Mental Health program, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Epidemiology & Data Science, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Aging & Later Life, Amsterdam, The Netherlands
| | - Steinar Krokstad
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Norway
- Levanger hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
| | - Flora E van Leeuwen
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Annemarie I Luik
- Department of Epidemiology, Erasmus MC-University Medical Center, Rotterdam, The Netherlands
| | | | | | - Brenda W J H Penninx
- Amsterdam Public Health, Mental Health program, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Ina Rissanen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Annelieke M Roest
- Department of Developmental Psychology, University of Groningen, Groningen, The Netherlands
| | - Judith G M Rosmalen
- Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Rikje Ruiter
- Department of Epidemiology, Erasmus MC-University Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Maasstad, Rotterdam, The Netherlands
| | - Robert A Schoevers
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - David Soave
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
- Department of Mathematics, Wilfrid Laurier University, Waterloo, Canada
| | - Mandy Spaan
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Andrew Steptoe
- Department of Behavioural Science and Health, University College London, London, UK
| | - Karien Stronks
- Department of Public and Occupational Health, Amsterdam UMC, and Amsterdam Public Health Research Institute, University of Amsterdam, Amsterdam, The Netherlands
- Center for Urban Mental Health, University of Amsterdam, Amsterdam, The Netherlands
| | - Erik R Sund
- Faculty of Nursing and Health Sciences, Nord University, Levanger, Norway
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Norway
- Levanger hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
| | - Ellen Sweeney
- Atlantic Partnership for Tomorrow's Health, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Emma L Twait
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Alison Teyhan
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - W M Monique Verschuren
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Kimberly D van der Willik
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Epidemiology, Erasmus MC-University Medical Center, Rotterdam, The Netherlands
| | - Mirjam I Geerlings
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
- Amsterdam Public Health, Aging & Later Life, Amsterdam, The Netherlands
- Department of General Practice, Amsterdam UMC, location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Personalized Medicine, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, and Mood, Anxiety, Psychosis, Stress, and Sleep, Amsterdam, The Netherlands
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11
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Leroux E, Tréhout M, Reboursiere E, de Flores R, Morello R, Guillin O, Quarck G, Dollfus S. Effects of web-based adapted physical activity on hippocampal plasticity, cardiorespiratory fitness, symptoms, and cardiometabolic markers in patients with schizophrenia: a randomized, controlled study. Eur Arch Psychiatry Clin Neurosci 2024:10.1007/s00406-024-01818-8. [PMID: 38740618 DOI: 10.1007/s00406-024-01818-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 04/19/2024] [Indexed: 05/16/2024]
Abstract
Among the lifestyle interventions, the physical activity (PA) has emerged as an adjuvant non-pharmacological treatment improving mental and physical health in patients with schizophrenia (SZPs) and increasing the hippocampus (HCP) volume. Previously investigated PA programs have been face-to-face, and not necessary adapted to patients' physiological fitness. We propose an innovative 16-week adapted PA program delivered by real-time videoconferencing (e-APA), allowing SZPs to interact with a coach and to manage their physical condition. The primary goal was to demonstrate a greater increase of total HCP volumes in SZPs receiving e-APA compared to that observed in a controlled group. The secondary objectives were to demonstrate the greater effects of e-APA compared to a controlled group on HCP subfields, cardiorespiratory fitness, clinical symptoms, cognitive functions, and lipidic profile. Thirty-five SZPs were randomized to either e-APA or a controlled group receiving a health education program under the same conditions (e-HE). Variables were assessed at pre- and post-intervention time-points. The dropout rate was 11.4%. Compared to the e-HE group, the e-APA group did not have any effect on the HCP total volumes but increased the left subiculum volume. Also, the e-APA group significantly increased cardiorespiratory fitness (VO2max), improved lipidic profile and negative symptoms but not cognitive functions. This study demonstrated the high feasibility and multiple benefits of a remote e-APA program for SZPs. e-APA may increase brain plasticity and improve health outcomes in SZPs, supporting that PA should be an add-on therapeutic intervention. ClinicalTrial.gov on 25 august 2017 (NCT03261817).
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Affiliation(s)
- E Leroux
- PhIND "Physiopathology and Imaging of Neurological Disorders", UMR-S U1237, GIP CYCERON, INSERM, CYCERON, CHU de Caen Normandie, Normandie Univ, Université de Caen Normandie, Campus Jules Horowitz, Bd Henri Becquerel, BP 5229, 14074, Caen, France.
| | - M Tréhout
- PhIND "Physiopathology and Imaging of Neurological Disorders", UMR-S U1237, GIP CYCERON, INSERM, CYCERON, CHU de Caen Normandie, Normandie Univ, Université de Caen Normandie, Campus Jules Horowitz, Bd Henri Becquerel, BP 5229, 14074, Caen, France
- Centre Esquirol, Service de Psychiatrie Adulte, CHU de Caen Normandie, 14000, Caen, France
| | - E Reboursiere
- Service de Médecine du Sport, CHU de Caen Normandie, 14000, Caen, France
| | - R de Flores
- PhIND "Physiopathology and Imaging of Neurological Disorders", UMR-S U1237, GIP CYCERON, INSERM, CYCERON, CHU de Caen Normandie, Normandie Univ, Université de Caen Normandie, Campus Jules Horowitz, Bd Henri Becquerel, BP 5229, 14074, Caen, France
| | - R Morello
- Unité de Biostatistiques et Recherche Clinique, CHU de Caen Normandie, 14000, Caen, France
| | - O Guillin
- SHU du Rouvray, 76300, Sotteville-lès-Rouen, France
- Normandie Univ, UFR de Médecine, 76000, Rouen, France
- CHU de Rouen, 76000, Rouen, France
| | - G Quarck
- COMETE U1075, INSERM, CYCERON, CHU de Caen, Normandie Univ, Université de Caen Normandie, 14000, Caen, France
| | - S Dollfus
- PhIND "Physiopathology and Imaging of Neurological Disorders", UMR-S U1237, GIP CYCERON, INSERM, CYCERON, CHU de Caen Normandie, Normandie Univ, Université de Caen Normandie, Campus Jules Horowitz, Bd Henri Becquerel, BP 5229, 14074, Caen, France
- Centre Esquirol, Service de Psychiatrie Adulte, CHU de Caen Normandie, 14000, Caen, France
- Université de Caen Normandie, Normandie Univ, UFR de Santé, 14000, Caen, France
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12
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Kong L, Wang H, Yan N, Xu C, Chen Y, Zeng Y, Guo X, Lu J, Hu S. Effect of antipsychotics and mood stabilisers on metabolism in bipolar disorder: a network meta-analysis of randomised-controlled trials. EClinicalMedicine 2024; 71:102581. [PMID: 38618207 PMCID: PMC11015341 DOI: 10.1016/j.eclinm.2024.102581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 03/17/2024] [Accepted: 03/19/2024] [Indexed: 04/16/2024] Open
Abstract
Background Antipsychotics and mood stabilisers are gathering attention for the disturbance of metabolism. This network meta-analysis aims to evaluate and rank the metabolic effects of the commonly used antipsychotics and mood stabilisers in treating bipolar disorder (BD). Methods Registries including PubMed, Embase, Cochrane Library, Web of Science, Ovid, and Google Scholar were searched before February 15th, 2024, for randomised controlled trials (RCTs) applying antipsychotics or mood stabilisers for BD treatment. The observed outcomes were twelve metabolic indicators. The data were extracted by two reviewers independently, and confirmed by another four reviewers and a corresponding author. The above six reviewers all participated in data analyses. Data extraction was based on PRISMA guidelines, and quality assessment was conducted according to the Cochrane Handbook. Use a random effects model for data pooling. The PROSPERO registration number is CRD42023466669. Findings Together, 5421 records were identified, and 41 publications with 11,678 complete-trial participants were confirmed eligible. After eliminating possible sensitivity, risperidone ranked 1st in elevating fasting serum glucose (SUCRA = 90.7%) and serum insulin (SUCRA = 96.6%). Lurasidone was most likely to elevate HbA1c (SUCRA = 82.1%). Olanzapine ranked 1st in elevating serum TC (SUCRA = 93.3%), TG (SUCRA = 89.6%), and LDL (SUCRA = 94.7%). Lamotrigine ranked 1st in reducing HDL (SUCRA = 82.6%). Amisulpride ranked 1st in elevating body weight (SUCRA = 100.0%). For subgroup analyses, quetiapine is more likely to affect indicators of glucose metabolism among male adult patients with bipolar mania, while long-term lurasidone tended to affect glucose metabolism among female patients with bipolar depression. Among patients under 18, divalproex tended to affect glucose metabolism, with lithium affecting lipid metabolism. In addition, most observed antipsychotics performed higher response and remission rates than placebo, and displayed a similar dropout rate with placebo, while no between-group significance of rate was observed among mood stabilisers. Interpretation Our findings suggest that overall, antipsychotics are effective in treating BD, while they are also more likely to disturb metabolism than mood stabilisers. Attention should be paid to individual applicability in clinical practice. The results put forward evidence-based information and clinical inspiration for drug compatibility and further research of the BD mechanism. Funding The National Key Research and Development Program of China (2023YFC2506200), and the Research Project of Jinan Microecological Biomedicine Shandong Laboratory (No. JNL-2023001B).
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Affiliation(s)
- Lingzhuo Kong
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Huaizhi Wang
- School of Psychiatry, Wenzhou Medical University, Wenzhou, 325000, China
| | - Ning Yan
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
- Shanghai Jing ‘an District Mental Health Centre, Shanghai, 200040, China
| | - Chenyue Xu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Yiqing Chen
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Yuanyuan Zeng
- Hangzhou Medical College, School of Clinical Medicine, Hangzhou, 310003, China
| | - Xiaonan Guo
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Jing Lu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
- Zhejiang Key Laboratory of Precision Psychiatry, Hangzhou, 310003, China
- Brain Research Institute of Zhejiang University, Hangzhou, 310003, China
- Zhejiang Engineering Centre for Mathematical Mental Health, Hangzhou, 310003, China
- MOE Frontier Science Centre for Brain Science & Brain-Machine Integration, Zhejiang University, Hangzhou, 310003, China
| | - Shaohua Hu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
- School of Psychiatry, Wenzhou Medical University, Wenzhou, 325000, China
- Zhejiang Key Laboratory of Precision Psychiatry, Hangzhou, 310003, China
- Brain Research Institute of Zhejiang University, Hangzhou, 310003, China
- Zhejiang Engineering Centre for Mathematical Mental Health, Hangzhou, 310003, China
- MOE Frontier Science Centre for Brain Science & Brain-Machine Integration, Zhejiang University, Hangzhou, 310003, China
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, 310003, China
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13
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Iturralde E, Rubinsky AD, Nguyen KH, Anderson C, Lyles CR, Mangurian C. Serious Mental Illness, Glycemic Control, and Neighborhood Factors within an Urban Diabetes Cohort. Schizophr Bull 2024; 50:653-662. [PMID: 37597839 PMCID: PMC11059791 DOI: 10.1093/schbul/sbad122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/21/2023]
Abstract
BACKGROUND AND HYPOTHESIS Serious mental illness (SMI) may compromise diabetes self-management. This study assessed the association between SMI and glycemic control, and explored sociodemographic predictors and geographic clustering of this outcome among patients with and without SMI. STUDY DESIGN We used electronic health record data for adult primary care patients with diabetes from 2 San Francisco health care delivery systems. The primary outcome was poor glycemic control (hemoglobin A1c >9.0%), which was modeled on SMI diagnosis status and sociodemographics. Geospatial analyses examined hotspots of poor glycemic control and neighborhood characteristics. STUDY RESULTS The study included 11 694 participants with diabetes, 21% with comorbid SMI, of whom 22% had a schizophrenia spectrum or bipolar disorder. Median age was 62 years; 52% were female and 79% were Asian, Black, or Hispanic. In adjusted models, having schizophrenia spectrum disorder or bipolar disorder was associated with greater risk for poor glycemic control (vs participants without SMI, adjusted relative risk [aRR] = 1.24; 95% confidence interval, 1.02, 1.49), but having broadly defined SMI was not. People with and without SMI had similar sociodemographic correlates of poor glycemic control including younger versus older age, Hispanic versus non-Hispanic White race/ethnicity, and English versus Chinese language preference. Hotspots for poor glycemic control were found in neighborhoods with more lower-income, Hispanic, and Black residents. CONCLUSIONS Poor diabetes control was significantly related to having a schizophrenia spectrum or bipolar disorder, and to sociodemographic factors and neighborhood. Community-based mental health clinics in hotspots could be targets for implementation of diabetes management services.
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Affiliation(s)
- Esti Iturralde
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States
| | - Anna D Rubinsky
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, United States
- Academic Research Services, Information Technology, University of California San Francisco, San Francisco, CA, United States
| | - Kim H Nguyen
- Department of Medicine, Center for Vulnerable Populations at ZSFG, University of California San Francisco, San Francisco, CA, United States
| | - Chelsie Anderson
- Department of Surgery, University of California San Francisco, San Francisco, CA, United States
| | - Courtney R Lyles
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, United States
- Department of Medicine, Center for Vulnerable Populations at ZSFG, University of California San Francisco, San Francisco, CA, United States
| | - Christina Mangurian
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, United States
- Department of Medicine, Center for Vulnerable Populations at ZSFG, University of California San Francisco, San Francisco, CA, United States
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, United States
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14
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Mosquera FEC, Lizcano Martinez S, Liscano Y. Effectiveness of Psychobiotics in the Treatment of Psychiatric and Cognitive Disorders: A Systematic Review of Randomized Clinical Trials. Nutrients 2024; 16:1352. [PMID: 38732599 PMCID: PMC11085935 DOI: 10.3390/nu16091352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Revised: 04/23/2024] [Accepted: 04/28/2024] [Indexed: 05/13/2024] Open
Abstract
In this study, a systematic review of randomized clinical trials conducted from January 2000 to December 2023 was performed to examine the efficacy of psychobiotics-probiotics beneficial to mental health via the gut-brain axis-in adults with psychiatric and cognitive disorders. Out of the 51 studies involving 3353 patients where half received psychobiotics, there was a notably high measurement of effectiveness specifically in the treatment of depression symptoms. Most participants were older and female, with treatments commonly utilizing strains of Lactobacillus and Bifidobacteria over periods ranging from 4 to 24 weeks. Although there was a general agreement on the effectiveness of psychobiotics, the variability in treatment approaches and clinical presentations limits the comparability and generalization of the findings. This underscores the need for more personalized treatment optimization and a deeper investigation into the mechanisms through which psychobiotics act. The research corroborates the therapeutic potential of psychobiotics and represents progress in the management of psychiatric and cognitive disorders.
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Affiliation(s)
- Freiser Eceomo Cruz Mosquera
- Grupo de Investigación en Salud Integral (GISI), Departamento Facultad de Salud, Universidad Santiago de Cali, Cali 760035, Colombia
| | - Santiago Lizcano Martinez
- Área Servicio de Alimentación, Área Nutrición Clínica Hospitalización UCI Urgencias Y Equipo de Soporte nutricional, Clínica Nuestra, Cali 760041, Colombia;
| | - Yamil Liscano
- Grupo de Investigación en Salud Integral (GISI), Departamento Facultad de Salud, Universidad Santiago de Cali, Cali 760035, Colombia
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15
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Poulos J, Horvitz-Lennon M, Zelevinsky K, Cristea-Platon T, Huijskens T, Tyagi P, Yan J, Diaz J, Normand SL. Targeted learning in observational studies with multi-valued treatments: An evaluation of antipsychotic drug treatment safety. Stat Med 2024; 43:1489-1508. [PMID: 38314950 DOI: 10.1002/sim.10003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 11/28/2023] [Accepted: 12/10/2023] [Indexed: 02/07/2024]
Abstract
We investigate estimation of causal effects of multiple competing (multi-valued) treatments in the absence of randomization. Our work is motivated by an intention-to-treat study of the relative cardiometabolic risk of assignment to one of six commonly prescribed antipsychotic drugs in a cohort of nearly 39 000 adults with serious mental illnesses. Doubly-robust estimators, such as targeted minimum loss-based estimation (TMLE), require correct specification of either the treatment model or outcome model to ensure consistent estimation; however, common TMLE implementations estimate treatment probabilities using multiple binomial regressions rather than multinomial regression. We implement a TMLE estimator that uses multinomial treatment assignment and ensemble machine learning to estimate average treatment effects. Our multinomial implementation improves coverage, but does not necessarily reduce bias, relative to the binomial implementation in simulation experiments with varying treatment propensity overlap and event rates. Evaluating the causal effects of the antipsychotics on 3-year diabetes risk or death, we find a safety benefit of moving from a second-generation drug considered among the safest of the second-generation drugs to an infrequently prescribed first-generation drug known for having low cardiometabolic risk.
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Affiliation(s)
- Jason Poulos
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Katya Zelevinsky
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA
| | | | | | | | | | | | - Sharon-Lise Normand
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA
- Department of Biostatistics, Harvard Chan School of Public Health, Boston, Massachusetts, USA
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16
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Cui T, Qi Z, Wang M, Zhang X, Wen W, Gao S, Zhai J, Guo C, Zhang N, Zhang X, Guan Y, Retnakaran R, Hao W, Zhai D, Zhang R, Zhao Y, Wen SW. Thyroid allostasis in drug-free affective disorder patients. Psychoneuroendocrinology 2024; 162:106962. [PMID: 38277991 DOI: 10.1016/j.psyneuen.2024.106962] [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: 09/25/2023] [Revised: 12/28/2023] [Accepted: 01/10/2024] [Indexed: 01/28/2024]
Abstract
AIM To assess the thyroid allostasis in drug-free patients with affective disorder. METHODS Patients with major depressive disorder or bipolar disorder as drug-free, defined as those without psychiatric drugs exposure for at least 4 months before admission, from a tertiary hospital were recruited in this cross-sectional study. The primary outcomes were "structure parameters of thyroid homeostasis", which include "thyroid's secretory capacity" (SPINA-GT), "sum step-up activity of deiodinases" (SPINA-GD), the ratio of total to free thyroxine and "thyroid homeostasis central set point" (TSH index and "thyroid feedback quantile-based index" [TFQI]), calculated by TSH and thyroid hormones measured at admission. A healthy population and non-affective psychiatric disorder (schizophrenia) from the same catchment area were recruited as two comparison groups. RESULTS A total of 1263 cases of major depressive disorder, 1619 cases of bipolar disorder, 1186 cases of schizophrenia, and 162 healthy controls were included in the study. Compared to healthy control, GD and ratio of total to free thyroxine were lower in affective disorders. Bipolar with mania episode had higher GT than bipolar with depressive episode and major depressive disorder (median level at 3.70 vs. 3.04 and 3.03, respectively). Compared with healthy control, schizophrenia had higher TSH index and TFQI, but no increase in these parameters in major depressive disorder and bipolar disorder. CONCLUSION Affective disorders have a unique profile of thyroid allostasis with impaired step-up deiodinase activity and reduced serum protein binding of thyroid hormones, but no change in thyroid homeostasis central set point. Mania episode may be associated with higher thyroid secretory capacity.
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Affiliation(s)
- Taizhen Cui
- The Second Affiliated Hospital of Xinxiang Medical University (Henan Mental Hospital), Henan Collaborative Innovation Center of Prevention and treatment of mental disorder, Xinxiang 453002, China; School of Pharmacy, Xinxiang Medical University, Xinxiang 453003, China; Xinxiang Key Laboratory of Clinical Psychopharmacology, Xinxiang Medical University, Xinxiang 453003, China
| | - Zhenyong Qi
- School of Public Health, Xinxiang Medical University, Xinxiang 453003, China
| | - Mengwei Wang
- School of Pharmacy, Xinxiang Medical University, Xinxiang 453003, China
| | - Xuejie Zhang
- School of Public Health, Xinxiang Medical University, Xinxiang 453003, China
| | - Wendy Wen
- McLaughlin Centre for Population Health Risk Assessment, University of Ottawa Faculty of Medicine, Ottawa, Ontario, Canada
| | - Songyin Gao
- Zhumadian Second People's Hospital, Zhumadian Mental Health Center, Zhumadian 463000, China
| | - Jianchun Zhai
- The Fourth Affiliated Hospital of Xinxiang Medical University (Xinxiang Central Hospital), Xinxiang 453000, China
| | - Chao Guo
- School of Pharmacy, Xinxiang Medical University, Xinxiang 453003, China
| | - Nan Zhang
- School of Pharmacy, Xinxiang Medical University, Xinxiang 453003, China
| | - Xue Zhang
- Division of Endocrinology and Metabolism, The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang 453003, China
| | - Yiyun Guan
- School of Mechanical Engineering,Henan Institute of Technology, Xinxiang 453000, China
| | - Ravi Retnakaran
- Division of Endocrinology and Metabolism, University of Toronto, Toronto, Canada; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada
| | - Wei Hao
- The Second Affiliated Hospital of Xinxiang Medical University (Henan Mental Hospital), Henan Collaborative Innovation Center of Prevention and treatment of mental disorder, Xinxiang 453002, China
| | - Desheng Zhai
- The Second Affiliated Hospital of Xinxiang Medical University (Henan Mental Hospital), Henan Collaborative Innovation Center of Prevention and treatment of mental disorder, Xinxiang 453002, China; School of Public Health, Xinxiang Medical University, Xinxiang 453003, China; Henan International Joint Laboratory of non-Invasive Neuro-modulation, Xinxiang Medical University, Xinxiang 453003, China.
| | - Ruiling Zhang
- The Second Affiliated Hospital of Xinxiang Medical University (Henan Mental Hospital), Henan Collaborative Innovation Center of Prevention and treatment of mental disorder, Xinxiang 453002, China.
| | - Ying Zhao
- The Second Affiliated Hospital of Xinxiang Medical University (Henan Mental Hospital), Henan Collaborative Innovation Center of Prevention and treatment of mental disorder, Xinxiang 453002, China; School of Pharmacy, Xinxiang Medical University, Xinxiang 453003, China; Xinxiang Key Laboratory of Clinical Psychopharmacology, Xinxiang Medical University, Xinxiang 453003, China.
| | - Shi Wu Wen
- OMNI Research Group, Ottawa Hospital Research Institute, Clinical Epidemiology Program, Ottawa, Canada; School of Epidemiology and Public Health, University of Ottawa Faculty of Medicine, Ottawa, Canada; Department of Obstetrics and Gynecology, University of Ottawa Faculty of Medicine, Ottawa, Canada
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17
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Elliott M, Foo PL. Is vital signs assessment important in the acute mental health setting? A review of fundamental nursing textbooks. Int J Ment Health Nurs 2024; 33:473-479. [PMID: 37957819 DOI: 10.1111/inm.13252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 10/24/2023] [Accepted: 10/30/2023] [Indexed: 11/15/2023]
Affiliation(s)
- Malcolm Elliott
- Nursing & Midwifery, Monash University, Clayton, Victoria, Australia
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Gurusamy J, Gandhi S, Damodharan D, Palaniappan M, Ganesan V. Effect of lifestyle modification intervention (LMI) on metabolic syndrome in schizophrenia in a residential mental health care setting-A mixed method study. Schizophr Res 2024; 266:75-84. [PMID: 38377870 DOI: 10.1016/j.schres.2024.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 12/18/2023] [Accepted: 02/10/2024] [Indexed: 02/22/2024]
Affiliation(s)
- Jothimani Gurusamy
- College of Nursing, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, India.
| | - Sailaxmi Gandhi
- Department of Nursing, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, India
| | - Dinakaran Damodharan
- Center for Psychosocial Support and Disaster Management, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, India
| | - Marimuthu Palaniappan
- Department of Biostatistics, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, India
| | - Venkatasubramanian Ganesan
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, India
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Na EJ, Lee J, Sohn JH, Yang M, Park Y, Sim HB, Lee H. Characteristics of Comorbid Physical Disease in Patients With Severe Mental Illness in South Korea: A Nationwide Population-Based Study (2014-2019). Psychiatry Investig 2024; 21:361-370. [PMID: 38695043 PMCID: PMC11065528 DOI: 10.30773/pi.2023.0224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 10/29/2023] [Accepted: 12/08/2023] [Indexed: 05/04/2024] Open
Abstract
OBJECTIVE The purpose of this study was to identify the associations of chronic physical disease between patients with severe mental illness (SMI) and the general population of South Korea. METHODS This study was conducted with National Health Insurance Corporation data from 2014 to 2019. A total of 848,058 people were diagnosed with SMI in this period, and the same number of controls were established by matching by sex and age. A descriptive analysis was conducted on the sociodemographic characteristics of patients with SMI. Conditional logistic regression analysis was performed to identify the associations between comorbid physical disease in patients with SMI and those of the general population. SAS Enterprise Guide 7.1 (SAS Inc, Cary, NC, USA) were used to perform all statistical tests. RESULTS The analysis revealed significant differences in medical insurance, income level, and Charlson Comorbidity Index weighted by chronic physical disease, between patients with SMI and the general population. Conditional logistic regression analysis between the two groups also revealed significant differences in eight chronic physical diseases except hypertensive disease. CONCLUSION This study confirmed the vulnerability of patients with SMI to chronic physical diseases and we were able to identify chronic physical disease that were highly related to patients with SMI.
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Affiliation(s)
- Eun Jin Na
- Department of Psychiatry, Seoul Medical Center, Seoul, Republic of Korea
- Seoul Mental Health Welfare Center, Seoul, Republic of Korea
| | - Jungsun Lee
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Jee Hoon Sohn
- Public Healthcare Center, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Psychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Mi Yang
- Seoul Mental Health Welfare Center, Seoul, Republic of Korea
| | - Yoomi Park
- Seoul Metropolitan Government, Seoul, Republic of Korea
| | - Hyun-Bo Sim
- Department of Psychiatry, Seoul Medical Center, Seoul, Republic of Korea
| | - Haewoo Lee
- Department of Psychiatry, Seoul Medical Center, Seoul, Republic of Korea
- Seoul Mental Health Welfare Center, Seoul, Republic of Korea
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20
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Vita A, Barlati S, Porcellana M, Sala E, Lisoni J, Brogonzoli L, Percudani ME, Iardino R. The patient journey project in Italian mental health services: results from a co-designed survey on clinical interventions and current barriers to improve the care of people living with schizophrenia. Front Psychiatry 2024; 15:1382326. [PMID: 38606407 PMCID: PMC11007707 DOI: 10.3389/fpsyt.2024.1382326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 03/04/2024] [Indexed: 04/13/2024] Open
Abstract
Introduction The Patient Journey Project aimed to analyze the scenario among Italian Mental Health Services (MHS) to understand the clinical interventions that are properly implemented and the ones deserving further implementation to design an effective treatment plan for patients living with schizophrenia (PLWS). Methods The 60-items survey was co-designed with all the stakeholders (clinicians, expert patients and caregivers) involved in the Patient Journey and focused on three phases of schizophrenia course: early detection and management, acute phase management, long-term management/continuity of care. Respondents were Heads of the Mental Health Departments and Addiction Services (MHDAS) or facilities directors throughout Italian MHS. For each statement, respondents expressed the consensus on the importance and the degree of implementation in clinical practice. Results Considering the importance of the statement, strong consensus was reached for most of the statements. Good levels of implementation were found on 2/17 statements of early detection and management, on 3/16 statements for acute phase management and on 1/27 statements of long-term management/continuity of care. Poor levels of implementation were found on 1/17 statements of early detection and management, none of acute phase management, and 4/27 statements for long-term management/continuity of care. Moderate levels of implementation were found on 14/17 statements for early detection and management, on 13/16 statements of acute phase management, and on 22/27 statements of long-term management/continuity of care. Thus, among Italian MHDAS, most interventions for PLWS were moderately implemented in clinical practice. Discussion Italian MHS have to provide new strategies and structural actions to overcome these current limitations and barriers to effectively improve the journey of PLWS. The areas that deserve most implementation include interventions during the early stage (especially the continuity of care between Child and Adolescent Mental Health Services and Adult Mental Health Services), the evidence-based psychosocial interventions during the chronic stages of the disorder, and the continuity of care after acute hospitalization.
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Affiliation(s)
- Antonio Vita
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Stefano Barlati
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Matteo Porcellana
- Department of Mental Health and Addiction Services, Niguarda Hospital, Milan, Italy
| | - Elisa Sala
- Department of Political and Social Sciences, University of Pavia, Pavia, Italy
| | - Jacopo Lisoni
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy
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21
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Eyles E, Margelyte R, Edwards HB, Moran PA, Kessler DS, Davies SJC, Bolea-Alamañac B, Redaniel MT, Sullivan SA. Antipsychotic Medication and Risk of Metabolic Disorders in People With Schizophrenia: A Longitudinal Study Using the UK Clinical Practice Research Datalink. Schizophr Bull 2024; 50:447-459. [PMID: 37622178 PMCID: PMC10919771 DOI: 10.1093/schbul/sbad126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/26/2023]
Abstract
BACKGROUND AND HYPOTHESIS Antipsychotics are first-line drug treatments for schizophrenia. When antipsychotic monotherapy is ineffective, combining two antipsychotic drugs is common although treatment guidelines warn of possible increases in side effects. Risks of metabolic side effects with antipsychotic polypharmacy have not been fully investigated. This study examined associations between antipsychotic polypharmacy and risk of developing diabetes, hypertension, or hyperlipidemia in adults with schizophrenia, and impact of co-prescription of first- and second-generation antipsychotics. STUDY DESIGN A population-based prospective cohort study was conducted in the United Kingdom using linked primary care, secondary care, mental health, and social deprivation datasets. Cox proportional hazards models with stabilizing weights were used to estimate risk of metabolic disorders among adults with schizophrenia, comparing patients on antipsychotic monotherapy vs polypharmacy, adjusting for demographic and clinical characteristics, and antipsychotic dose. STUDY RESULTS Median follow-up time across the three cohorts was approximately 14 months. 6.6% developed hypertension in the cohort assembled for this outcome, with polypharmacy conferring an increased risk compared to monotherapy, (adjusted Hazard Ratio = 3.16; P = .021). Patients exposed to exclusive first-generation antipsychotic polypharmacy had greater risk of hypertension compared to those exposed to combined first- and second-generation polypharmacy (adjusted HR 0.29, P = .039). No associations between polypharmacy and risk of diabetes or hyperlipidemia were found. CONCLUSIONS Antipsychotic polypharmacy, particularly polypharmacy solely comprised of first-generation antipsychotics, increased the risk of hypertension. Future research employing larger samples, follow-up longer than the current median of 14 months, and more complex methodologies may further elucidate the association reported in this study.
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Affiliation(s)
- Emily Eyles
- The National Institute for Health Research Applied Research Collaboration West (NIHR ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ruta Margelyte
- The National Institute for Health Research Applied Research Collaboration West (NIHR ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Hannah B Edwards
- The National Institute for Health Research Applied Research Collaboration West (NIHR ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Paul A Moran
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - David S Kessler
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Simon J C Davies
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Centre for Addiction and Mental Health/University of Toronto, Toronto, ON, Canada
| | | | - Maria Theresa Redaniel
- The National Institute for Health Research Applied Research Collaboration West (NIHR ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Sarah A Sullivan
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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Costales B, Slama NE, Penfold RB, Nugent JR, Spalding SR, Sterling SA, Iturralde E. On- and Off-Label Atypical Antipsychotic Prescription Trends Across a Nine-Year Period Among Adolescents Pre- to Post-Covid-19. Acad Pediatr 2024:S1876-2859(24)00072-X. [PMID: 38458489 DOI: 10.1016/j.acap.2024.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 02/26/2024] [Accepted: 03/01/2024] [Indexed: 03/10/2024]
Abstract
OBJECTIVE This study examined atypical antipsychotic prescribing by FDA approved-use (on-label) status for adolescents before and during the Covid-19 pandemic. METHODS Retrospective data were collected from electronic health records (EHRs) of adolescents aged 10-17 years in Kaiser Permanente Northern California. New outpatient atypical antipsychotic prescription orders during 2013-2021 were evaluated. Prescriptions were categorized as on-label if linked in EHRs to autism, psychosis, bipolar disorder, or Tourette's diagnoses; otherwise, they were potentially off-label (herein, off-label). Trend analysis of monthly prescribing rates assessed slope change at pandemic onset for the cohort and by sex and age groups. RESULTS Among 5,828 patients, 74.5% of new antipsychotic orders were off-label in 2021. Overall prescribing decreased significantly until early 2020 (slope = -0.045, p <.001) but then significantly increased through 2021 (post-March 2020 slope change = 0.211, p =.010). Off-label prescriptions increased at a similar rate during the Covid-19 time period, but on-label prescriptions did not change significantly. Males and younger adolescents (ages 10-14 years) showed significant decreases until early 2020, while females and older adolescents (ages 15-17 years) did not. Females and younger adolescents exhibited significant increases in overall and off-label prescribing rates following pandemic onset; older adolescents exhibited increases in overall prescriptions while males had no detectable changes. CONCLUSIONS Antipsychotic prescribing declined slightly but then increased significantly following Covid-19 onset for overall and off-label prescriptions. Pandemic onset differentially impacted antipsychotic prescribing by sex and age, with overall and off-label prescribing driven by increases among female and younger adolescents. WHAT'S NEW Within a large, diverse, integrated healthcare delivery system, Covid-19 pandemic onset coincided with a rebound in antipsychotic prescribing after a previous decline among adolescents; this change was driven by potentially off-label prescriptions, particularly among females and adolescents aged 10-14 years.
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Affiliation(s)
- Brianna Costales
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA.
| | - Natalie E Slama
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA.
| | - Robert B Penfold
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
| | - Joshua R Nugent
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA.
| | | | - Stacy A Sterling
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA.
| | - Esti Iturralde
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA.
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Heurtebize MA, Faillie JL. Drug-induced hyperglycemia and diabetes. Therapie 2024; 79:221-238. [PMID: 37985310 DOI: 10.1016/j.therap.2023.09.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 09/14/2023] [Indexed: 11/22/2023]
Abstract
BACKGROUND Drug-induced hyperglycemia and diabetes have negative and potentially serious health consequences but can often be unnoticed. METHODS We reviewed the literature searching Medline database for articles addressing drug-induced hyperglycemia and diabetes up to January 31, 2023. We also selected drugs that could induce hyperglycemia or diabetes according official data from drug information databases Thériaque and Micromedex. For each selected drug or pharmacotherapeutic class, the mechanisms of action potentially involved were investigated. For drugs considered to be at risk of hyperglycemia or diabetes, disproportionality analyses were performed using data from the international pharmacovigilance database VigiBase. In order to detect new pharmacovigilance signals, additional disproportionality analyses were carried out for drug classes with more than 100 cases reported in VigiBase, but not found in the literature or official documents. RESULTS The main drug classes found to cause hyperglycemia are glucocorticoids, HMG-coA reductase inhibitors, thiazide diuretics, beta-blockers, antipsychotics, fluoroquinolones, antiretrovirals, antineoplastic agents and immunosuppressants. The main mechanisms involved are alterations in insulin secretion and sensitivity, direct cytotoxic effects on pancreatic cells and increases in glucose production. Pharmacovigilance signal were found for a majority of drugs or pharmacological classes identified as being at risk of diabetes or hyperglycemia. We identified new pharmacovigilance signals with drugs not known to be at risk according to the literature or official data: phosphodiesterase type 5 inhibitors, endothelin receptor antagonists, sodium oxybate, biphosphonates including alendronic acid, digoxin, sartans, linosipril, diltiazem, verapamil, and darbepoetin alpha. Further studies will be needed to confirm these signals. CONCLUSIONS The risks of induced hyperglycemia vary from one drug to another, and the underlying mechanisms are multiple and potentially complex. Clinicians need to be vigilant when using at-risk drugs in order to detect and manage these adverse drug reactions. However, it is to emphasize that the benefits of appropriately prescribed treatments most often outweigh their metabolic risks.
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Affiliation(s)
- Marie-Anne Heurtebize
- CHU de Montpellier, Medical Pharmacology and Toxicology Department, 34000 Montpellier, France
| | - Jean-Luc Faillie
- CHU de Montpellier, Medical Pharmacology and Toxicology Department, 34000 Montpellier, France; IDESP, Université de Montpellier, Inserm, 34295 Montpellier, France.
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McElroy SL, Guerdjikova AI, Blom TJ, Mori N, Romo-Nava F. Liraglutide in Obese or Overweight Individuals With Stable Bipolar Disorder. J Clin Psychopharmacol 2024; 44:89-95. [PMID: 38227621 DOI: 10.1097/jcp.0000000000001803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
BACKGROUND Obesity is common among persons with bipolar disorder (BD). Liraglutide 3.0 mg/d subcutaneous injection is indicated for chronic weight management and associated with minimal adverse neuropsychiatric effects. This study evaluated whether liraglutide 3 mg/d reduced body weight, improved metabolic factors and eating psychopathology, and was safe and well tolerated in persons with stable BD who were obese (body mass index [BMI] >30 kg/m 2 ) or overweight (BMI ≥27 kg/m 2 ) with at least one weight-related comorbidity. METHODS This was a 40-week, randomized (1:1 ratio), placebo-controlled, double-blind, parallel-group, 2-arm clinical trial of liraglutide targeted to 3.0 mg/d (in combination with a reduced-calorie diet and increased physical activity) in 60 participants with stable BD who were obese or overweight. Primary outcome was percent change in body weight from baseline to study end. Secondary outcomes included percentage of patients who lost ≥5% of baseline body weight, and changes in metabolic variables and measures of eating psychopathology. RESULTS There were no significant baseline differences between the 29 liraglutide recipients and the 31 placebo recipients, except that liraglutide recipients had higher levels of binge eating and lower levels of high-density lipoprotein cholesterol. Compared with placebo, liraglutide was associated with significantly greater reductions in percent change in body weight, percentage of participants who lost at least 5% of body weight, and reductions in weight, BMI, hemoglobin A 1c levels, binge eating, and hunger. Liraglutide was well tolerated. CONCLUSIONS Liraglutide 3 mg/d may be efficacious and safe for weight loss in individuals with stable BD and obesity or overweight. TRIAL REGISTRATION ClinicalTrials.gov (NCT03158805).
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Strømme MF, Bartz-Johannessen C, Kjelby E, Mehlum L, Mykletun A, Kroken RA, Johnsen E, Gjestad R. Risk factors for mortality in patients admitted to a psychiatric acute ward: A prospective cohort study. Acta Psychiatr Scand 2024; 149:244-255. [PMID: 38225748 DOI: 10.1111/acps.13657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 12/18/2023] [Accepted: 01/04/2024] [Indexed: 01/17/2024]
Abstract
INTRODUCTION Associations between psychiatric disorders and mortality have been extensively studied, but limited evidence exists regarding influence of clinical characteristics on mortality risk, at the time of acute psychiatric hospitalization. METHODS A prospective total-cohort study included all patients consecutively admitted to Haukeland University Hospital's psychiatric acute ward in Bergen, Norway between 2005 and 2014 (n = 6125). Clinical interviews were conducted at the first admission within the study period, and patients were subsequently followed for up to 15 years in the Norwegian Cause of Death Registry. Competing risks regression models were used to investigate associations between clinical characteristics at first admission and the risk of natural and unnatural death during follow-up. RESULTS The mean age at first admission and at time of death was 42.5 and 62.8 years, respectively, and the proportion of women in the sample was 47.2%. A total of 1381 deaths were registered during follow-up, of which 65.5% had natural, 30.4% unnatural, and 4.1% unknown causes. Higher age, male sex, unemployment, cognitive deficits, and physical illness were associated with increased risk of natural death. Male sex, having no partner, physical illness, suicide attempts, and excessive use of alcohol and illicit substances were associated with increased risk of unnatural death. CONCLUSION Psychiatric symptoms, except suicide attempts, were unrelated to increased mortality risk. In the endeavor to reduce the increased mortality risk in people with mental disorders, focus should be on addressing modifiable risk factors linked to physical health and excessive use of alcohol and illicit substances.
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Affiliation(s)
- Maria Fagerbakke Strømme
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- NORMENT, Centre of Excellence, Haukeland University Hospital, Bergen, Norway
| | - Christoffer Bartz-Johannessen
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- NORMENT, Centre of Excellence, Haukeland University Hospital, Bergen, Norway
| | - Eirik Kjelby
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- NORMENT, Centre of Excellence, Haukeland University Hospital, Bergen, Norway
| | - Lars Mehlum
- National Centre for Suicide Research and Prevention, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Arnstein Mykletun
- Division of Psychiatry, Centre for Research and Education in Forensic Psychiatry, Haukeland University Hospital, Bergen, Norway
- Centre for Work and Mental Health, Nordland Hospital, Bodø, Norway
- Department for Community Medicine, University of Tromsø, Tromsø, Norway
| | - Rune Andreas Kroken
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- NORMENT, Centre of Excellence, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, Haukeland University Hospital, University of Bergen, Bergen, Norway
| | - Erik Johnsen
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- NORMENT, Centre of Excellence, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, Haukeland University Hospital, University of Bergen, Bergen, Norway
| | - Rolf Gjestad
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Division of Psychiatry, Centre for Research and Education in Forensic Psychiatry, Haukeland University Hospital, Bergen, Norway
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Shi L, Luo J, Wei X, Xu X, Tu L. The protective role of ginsenoside Rg3 in heart diseases and mental disorders. Front Pharmacol 2024; 15:1327033. [PMID: 38469409 PMCID: PMC10926849 DOI: 10.3389/fphar.2024.1327033] [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: 10/24/2023] [Accepted: 02/07/2024] [Indexed: 03/13/2024] Open
Abstract
Ginsenoside Rg3, a compound derived from Panax ginseng C. A. Mey., is increasingly recognized for its wide range of pharmacological effects. Under the worldwide healthcare challenges posed by heart diseases, Rg3 stands out as a key subject in modern research on Chinese herbal medicine, offering a novel approach to therapy. Mental illnesses are significant contributors to global disease mortality, and there is a well-established correlation between cardiac and psychiatric conditions. This connection is primarily due to dysfunctions in the sympathetic-adrenomedullary system (SAM), the hypothalamic-pituitary-adrenal axis, inflammation, oxidative stress, and brain-derived neurotrophic factor impairment. This review provides an in-depth analysis of Rg3's therapeutic benefits and its pharmacological actions in treating cardiac and mental health disorders respectively. Highlighting its potential for the management of these conditions, Rg3 emerges as a promising, multifunctional therapeutic agent.
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Affiliation(s)
- Lili Shi
- Department of Geriatric Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiological Disorders, Wuhan, China
| | - Jinlan Luo
- Department of Geriatric Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiological Disorders, Wuhan, China
| | - Xiupan Wei
- Department of Rehabilitation Medicine, Zhongda Hospital, Southeast University, Nanjing, China
| | - Xizhen Xu
- Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiological Disorders, Wuhan, China
- Division of Cardiology and Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ling Tu
- Department of Geriatric Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiological Disorders, Wuhan, China
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Michaelis L, Berg L, Maier L. Confounder or Confederate? The Interactions Between Drugs and the Gut Microbiome in Psychiatric and Neurological Diseases. Biol Psychiatry 2024; 95:361-369. [PMID: 37331548 DOI: 10.1016/j.biopsych.2023.06.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 06/06/2023] [Accepted: 06/08/2023] [Indexed: 06/20/2023]
Abstract
The gut microbiome is emerging as an important factor in signaling along the gut-brain axis. The intimate physiological connection between the gut and the brain allows perturbations in the microbiome to be directly transmitted to the central nervous system and thereby contribute to psychiatric and neurological diseases. Common microbiome perturbations result from the ingestion of xenobiotic compounds including pharmaceuticals such as psychotropic drugs. In recent years, a variety of interactions between these drug classes and the gut microbiome have been reported, ranging from direct inhibitory effects on gut bacteria to microbiome-mediated drug degradation or sequestration. Consequently, the microbiome may play a critical role in influencing the intensity, duration, and onset of therapeutic effects, as well as in influencing the side effects that patients may experience. Furthermore, because the composition of the microbiome varies from person to person, the microbiome may contribute to the frequently observed interpersonal differences in the response to these drugs. In this review, we first summarize the known interactions between xenobiotics and the gut microbiome. Then, for psychopharmaceuticals, we address the question of whether these interactions with gut bacteria are irrelevant for the host (i.e., merely confounding factors in metagenomic analyses) or whether they may even have therapeutic or adverse effects.
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Affiliation(s)
- Lena Michaelis
- Interfaculty Institute for Microbiology and Infection Medicine Tübingen, University of Tübingen, Tübingen, Germany; and the Cluster of Excellence EXC 2124 (Controlling Microbes to Fight Infections), University of Tübingen, Tübingen, Germany
| | - Lara Berg
- Interfaculty Institute for Microbiology and Infection Medicine Tübingen, University of Tübingen, Tübingen, Germany; and the Cluster of Excellence EXC 2124 (Controlling Microbes to Fight Infections), University of Tübingen, Tübingen, Germany
| | - Lisa Maier
- Interfaculty Institute for Microbiology and Infection Medicine Tübingen, University of Tübingen, Tübingen, Germany; and the Cluster of Excellence EXC 2124 (Controlling Microbes to Fight Infections), University of Tübingen, Tübingen, Germany.
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Yang X, Feng F, Gao D, Cai L, Wan C, Zhou X, Zeng Z. Analysis of telomere length and the relationship with neurocognitive functions in euthymic bipolar disorder: A cross-sectional pilot study. J Affect Disord 2024; 347:630-634. [PMID: 38065483 DOI: 10.1016/j.jad.2023.12.021] [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: 07/04/2023] [Revised: 11/09/2023] [Accepted: 12/02/2023] [Indexed: 12/21/2023]
Abstract
BACKGROUND Telomere shortening has been considered a potential biological marker related to disease susceptibility and aging in psychiatric disorders. However, the relationship between telomere length and bipolar disorder (BD-I and BD-II) is uncertain. Moreover, whether telomere shortening is an independent factor of cognitive impairment in BD patients is still inconclusive. METHODS We explore telomere length and cognitive function in patients with bipolar disorder and the relationship between them. We enrolled three groups (35 patients with euthymic BD-I, 18 with euthymic BD-II, and 38 healthy controls). Telomere length was measured by fluorescent quantitative polymerase chain reaction (q-PCR), and cognitive function was evaluated by the MATRICS Consensus Cognitive Battery (MCCB). SPSS 24.0 was used for statistical analysis. RESULTS The telomere length of euthymic patients with BD-I and BD-II was shorter than that of healthy controls (F = 8.228, P = 0.001, η2 = 0.176). Telomere length was not significantly different between BD-I and BD-II. Compared to HCs, poor performance was detected in attention and vigilance in BD-I patients (F = 3.473, P = 0.036). Working memory was positively correlated with telomere length in BD-II patients (Beta = 0.5, P = 0.041, Adjusted R2 = 0.2). CONCLUSIONS The current study provided evidence of shortened telomere length in euthymic BD patients, indicating that telomere shortening might be a promising biomarker of susceptibility to bipolar disorder. The telomere length predicted the working memory in BD-II patients. Further studies are needed to clarify the role of accelerated aging on cognitive functioning in a young group of patients with BD.
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Affiliation(s)
- Xi Yang
- Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, China.
| | - Fei Feng
- Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, China
| | - Dailin Gao
- The Second People's Hospital of Futian District Shenzhen, Shenzhen, China
| | - Luyao Cai
- Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, China
| | - Chao Wan
- Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, China
| | - Xudong Zhou
- Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, China
| | - Zhiwen Zeng
- Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, China
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Ba S, Bianchi V, Carpentier A, Kieffer É, Lequin L, Cadou MN, Trinh E, Lecardeur L. Somatic health according to people with severe mental disease. L'ENCEPHALE 2024; 50:26-31. [PMID: 37088575 DOI: 10.1016/j.encep.2022.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 10/24/2022] [Accepted: 11/09/2022] [Indexed: 04/25/2023]
Abstract
OBJECTIVES Patients with schizophrenia have a 15- to 20-year shorter life expectancy compared with the general population. The aim of this study was to explore these patients' perception of their physical health. METHODS A patient reported outcomes measure (PROM) has been developed by patients with severe mental disease. This survey had to better capture undetected, under-rated and non-prioritized physical domains by traditional routine clinical scales that are important for people who live with mental health disease. These patients have tested the applicability of this PROM with peers with severe mental disease in medical, social and community-based centers from Hauts-de-France. RESULTS Two and a half years have been required to develop this PROM, to test its applicability to patients with severe mental disease and to analyze the results. The study process has been slowed by the sanitary context induced by the COVID-19 pandemic. Thirty-two questionnaires have been collected by the participants. Despite this low number of data, participants have been satisfied by the results and their experience. The results show that people with severe mental disease consider physical health as a major concern, notably pain and somatic diseases. External factors (such as accessibility to health care and medication) and internal factors (such as self-esteem, cognitive and negative symptoms, sleep, alimentation, and substance use) have been identified as barriers for physical health. CONCLUSIONS These results support the development of PROMs highlighting personal experience of people with severe mental disease. The data obtained thanks to these measures will allow to build programs to help them to cope with barriers for physical health.
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Affiliation(s)
- Shirley Ba
- Crehpsy Hauts-de-France, Parc Eurasanté Est, 235, avenue de la Recherche, 59120 Loos, France
| | - Vincent Bianchi
- Crehpsy Hauts-de-France, Parc Eurasanté Est, 235, avenue de la Recherche, 59120 Loos, France
| | - Antoine Carpentier
- Crehpsy Hauts-de-France, Parc Eurasanté Est, 235, avenue de la Recherche, 59120 Loos, France
| | - Éric Kieffer
- Crehpsy Hauts-de-France, Parc Eurasanté Est, 235, avenue de la Recherche, 59120 Loos, France
| | - Laurent Lequin
- Crehpsy Hauts-de-France, Parc Eurasanté Est, 235, avenue de la Recherche, 59120 Loos, France
| | - Marie-Noëlle Cadou
- Crehpsy Hauts-de-France, Parc Eurasanté Est, 235, avenue de la Recherche, 59120 Loos, France
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Chen YL, Chen PY, Pan CH, Chen PH, Su SS, Tsai SY, Chen CC, Kuo CJ. Prevalence and 3-year incidence of physical illnesses after schizophrenia diagnosis: Comparison with general population. Schizophr Res 2024; 264:272-279. [PMID: 38198879 DOI: 10.1016/j.schres.2024.01.009] [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: 04/02/2022] [Revised: 12/16/2023] [Accepted: 01/01/2024] [Indexed: 01/12/2024]
Abstract
AIM People with schizophrenia are at a greater risk of poor physical health than the general population. This study investigated the annual incidence of physical illnesses after a new schizophrenia diagnosis, which has rarely been investigated in the literature. METHODS The authors collected data from Taiwan's National Health Insurance Research Database from January 1, 1996, to December 31, 2013, and enrolled 1910 patients with newly diagnosed schizophrenia cases aged 10-40 years and 7640 age- and sex-matched controls from the general population. They estimated the 1-year prevalence and annual incidence rate ratio (IRR) of specified physical diseases across 3 years in the schizophrenia group compared with the controls. RESULTS Several physical illnesses were prevalent within 1 year of schizophrenia diagnosis. Regarding incident physical illnesses, patients had a moderate to strong risk of numerous physical illnesses (IRR > 3.0: ischemic heart disease, cerebrovascular disease, diabetes mellitus, and cancer; IRR 1.8-3.0: other forms of heart disease, vein and lymphatic diseases, pneumonia, chronic hepatic disease, and ulcer disease) within the first year after schizophrenia diagnosis. The IRRs of most physical illnesses declined over 3 years, except for that of cerebrovascular disease, which significantly increased (IRR > 3.0) over the 3 years after schizophrenia diagnosis. Cerebrovascular disease had a significant incidence risk (IRR > 3) persistently across the 3 years. CONCLUSION Various comorbid physical illnesses can occur in the early stages of schizophrenia. Clinicians should consider these vulnerabilities to physical illnesses during the evaluation of patients with newly diagnosed schizophrenia by attempting to prevent, screen for, and manage them.
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Affiliation(s)
- Yi-Lung Chen
- Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan; Department of Counseling Psychology, Chinese Culture University, Taipei, Taiwan
| | - Po-Yu Chen
- Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan
| | - Chun-Hung Pan
- Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan; Department of Psychology, National Chengchi University, Taipei, Taiwan
| | - Pao-Huan Chen
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Psychiatric Research Center, Taipei Medical University Hospital, Taipei, Taiwan
| | - Sheng-Shiang Su
- Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan
| | - Shang-Ying Tsai
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Psychiatric Research Center, Taipei Medical University Hospital, Taipei, Taiwan
| | - Chiao-Chicy Chen
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Psychiatry, Mackay Memorial Hospital, Taipei, Taiwan; Department of Psychiatry, Mackay Medical College, Taipei, Taiwan
| | - Chian-Jue Kuo
- Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan; Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Psychiatric Research Center, Taipei Medical University Hospital, Taipei, Taiwan.
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Iturralde E, Fazzolari L, Slama NE, Alexeeff SE, Sterling SA, Awsare S, Koshy MT, Shia M. Telehealth Collaborative Care Led by Clinical Pharmacists for People With Psychosis or Bipolar Disorder: A Propensity Weighted Comparison With Usual Psychiatric Care. J Clin Psychiatry 2024; 85:23m14917. [PMID: 38301189 PMCID: PMC10868914 DOI: 10.4088/jcp.23m14917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Abstract
Objective: People with psychosis or bipolar disorder (severe and persistent mental illness [SPMI]) are at high risk for poor psychiatric and chronic illness outcomes, which could be ameliorated through improved health care quality. This study assessed whether a telehealth, collaborative care program managed by psychiatric clinical pharmacists (SPMI Population Care) was associated with improved health care quality for adults with SPMI in a large California health system. Methods: This retrospective cohort study used electronic health record data to compare 968 program enrollees at 6 demonstration sites (Population Care) to 8,339 contemporaneous patients with SPMI at 6 non-program sites (Usual Care). SPMI diagnoses were based on ICD-10-CM diagnostic codes. Primary outcomes were optimal psychotropic medication adherence, guideline-recommended glycemic screening, annual psychiatrist visit, and emergency department use. Difference-in-difference analyses assessed change in outcomes from 12 months pre- to 12 months post-enrollment using overlap weighting with high dimensional propensity scores to balance participant characteristics across groups. Participant data were collected from January 1, 2020, to June 30, 2022. Results: From pre- to post-enrollment, Population Care was associated with greater achievement of psychotropic medication adherence and glycemic screening (+6 and +9 percentage points), but unexpectedly with a decrease in annual psychiatrist visits (-6 percentage points) and no significant change in emergency department use, relative to Usual Care. More than 75% of Population Care participants attended an intake and ≥ 1 follow-up visits. Participants with psychosis (26% of sample) had similar results as those with bipolar disorder. Conclusions: Clinical pharmacist-led telehealth collaborative care has potential to improve psychopharmacologic treatment adherence and recommended disease preventive screening for people with psychosis or bipolar disorder.
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Affiliation(s)
- Esti Iturralde
- Division of Research, Kaiser Permanente Northern California, Oakland
- Drs Iturralde and Fazzolari are co-first authors
- Corresponding Author: Esti Iturralde, PhD, Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612
| | - Lisa Fazzolari
- Permanente Medical Group, Kaiser Permanente Northern California, Oakland
- Drs Iturralde and Fazzolari are co-first authors
| | - Natalie E Slama
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Stacey E Alexeeff
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Stacy A Sterling
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Sameer Awsare
- Permanente Medical Group, Kaiser Permanente Northern California, Oakland
| | - Maria T Koshy
- Permanente Medical Group, Kaiser Permanente Northern California, Oakland
| | - Macy Shia
- Permanente Medical Group, Kaiser Permanente Northern California, Oakland
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Kim T, Jiang X, Noh Y, Kim M, Hong SH. Enhancing antidepressant safety surveillance: comparative analysis of adverse drug reaction signals in spontaneous reporting and healthcare claims databases. Front Pharmacol 2024; 14:1291934. [PMID: 38259269 PMCID: PMC10800508 DOI: 10.3389/fphar.2023.1291934] [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: 09/10/2023] [Accepted: 12/12/2023] [Indexed: 01/24/2024] Open
Abstract
Background/Objective: Spontaneous reporting systems (SRS) such as the Korea Adverse Event Reporting System (KAERS) are limited in their ability to detect adverse drug reaction (ADR) signals due to their limited data on drug use. Conversely, the national health insurance claim (NHIC) data include drug use information for all qualifying residents. This study aimed to compare ADR signal profiles for antidepressants between KAERS and NHIC, evaluating the extent to which detected signals belong to common ADRs and labeling information. Materials and Methods: ADR signal detection in KAERS and NHIC databases, spanning January to December 2017, employed disproportionality analysis. Signal classes were determined based on System Organ Class (SOC) of the Medical Dictionary for Regulatory Activities (MedDRA). Also, Common ADR Coverage (CAC), the proportion of detected signals deemed common ADRs, and labeling information coverage (LIC) represented by mean average precision (mAP) were calculated. Additionally, protopathic bias and relative risk (RR) evaluation were performed to check for signal robustness. Results: Signal detection revealed 51 and 62 signals in KAERS and NHIC databases, respectively. Both systems predominantly captured signals related to nervous system disorders, comprising 33.3% (N = 17) in KAERS and 50.8% (N = 31) in NHIC. Regarding the type of antidepressants, KAERS predominantly reported signals associated with tricyclic antidepressants (TCAs) (N = 21, 41.2%), while NHIC produced most signals linked to selective serotonin reuptake inhibitors (SSRIs) (N = 22, 35.5%). KAERS exhibited higher CAC (68.63% vs. 29.03%) than NHIC. LIC was also higher in KAERS than in NHIC (mAP for EB05: 1.00 vs. 0.983); i.e., NHIC identified 5 signals not documented in drug labeling information, while KAERS found none. Among the unlabeled signals, one (Duloxetine-Myelopathy) was from protopathic bias, and two (duloxetine-myelopathy and tianeptine-osteomalacia) were statistically significant in RR. Conclusion: NHIC exhibited greater capability in detecting ADR signals associated with antidepressant use, encompassing unlabeled ADR signals, compared to KAERS. NHIC also demonstrated greater potential for identifying less common ADRs. Further investigation is needed for signals detected exclusively in NHIC but not covered by labeling information. This study underscores the value of integrating different sources of data, offering substantial regulatory insights and enriching the scope of pharmacovigilance.
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Affiliation(s)
- Taehyung Kim
- Colleage of Pharmacy, Seoul National University, Seoul, Republic of Korea
- Research Institute of Pharmaceutical Science, College of Pharmacy, Seoul National University, Seoul, Republic of Korea
| | - Xinying Jiang
- Healthcare and Life Sciences in China and Renaissance Group, Shanghai, China
| | - Youran Noh
- Colleage of Pharmacy, Seoul National University, Seoul, Republic of Korea
- Research Institute of Pharmaceutical Science, College of Pharmacy, Seoul National University, Seoul, Republic of Korea
| | - Maryanne Kim
- Colleage of Pharmacy, Seoul National University, Seoul, Republic of Korea
- Research Institute of Pharmaceutical Science, College of Pharmacy, Seoul National University, Seoul, Republic of Korea
| | - Song Hee Hong
- Colleage of Pharmacy, Seoul National University, Seoul, Republic of Korea
- Research Institute of Pharmaceutical Science, College of Pharmacy, Seoul National University, Seoul, Republic of Korea
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Almeida OP, Etherton-Beer C, Sanfilippo F, Page A. Health morbidities associated with the dispensing of lithium to males and females: Cross-sectional analysis of the 10 % Pharmaceutical Benefits Scheme sample for 2022. J Affect Disord 2024; 344:503-509. [PMID: 37852583 DOI: 10.1016/j.jad.2023.10.115] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 10/10/2023] [Accepted: 10/15/2023] [Indexed: 10/20/2023]
Abstract
OBJECTIVES This study examined the association of gender on the physical morbidity of individuals likely living with bipolar disorder (BD) using a comprehensive health-related database. It investigated the association between lithium dispensing (a surrogate marker for BD) and other health morbidities, considering age and sex. METHODS The cross-sectional study design used the 10 % Schedule of Pharmaceutical Benefits Scheme (PBS) database in Australia for 2022. Medication dispensing, age, and sex were available. A validated algorithm inferred 45 health morbidities from dispensed medicines. Statistical analyses, including logistic regression, assessed the relationship between lithium dispensing, sex, and age with inferred health morbidities. RESULTS The sample consisted of 1,594,112 individuals aged 10 to over 95 years. A higher proportion of women than men were dispensed lithium (0.33 % vs 0.30 %). Lithium dispensing and age were associated with higher prevalence of inferred morbidities. Women dispensed lithium had a greater physical health burden compared to men, with higher odds of chronic airways diseases, diabetes, ischaemic heart disease/hypertension, inflammation, pain, psychosis, and steroid-responsive diseases. Conversely, women dispensed lithium had lower odds of cardiac arrhythmias and hypothyroidism compared to men. CONCLUSIONS This study provides evidence that individuals with BD, indicated by the dispensing of lithium, experience a relatively higher frequency of physical health morbidities, with women being disproportionally affected compared to men. The findings highlight the need for comprehensive care for people living with BD, particularly women.
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Affiliation(s)
| | | | - Frank Sanfilippo
- School of Population and Global Health, University of Western Australia, Perth, Australia
| | - Amy Page
- School of Allied Health, University of Western Australia, Perth, Australia
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Masand PS, McIntyre RS, Cutler AJ, Ganz ML, Lorden AL, Patel K, Kramer K, Harrington A, Nguyen HB. Estimating Changes in Weight and Metabolic Parameters Before and After Treatment With Cariprazine: A Retrospective Study of Electronic Health Records. Clin Ther 2024; 46:50-58. [PMID: 38036337 DOI: 10.1016/j.clinthera.2023.10.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 09/11/2023] [Accepted: 10/11/2023] [Indexed: 12/02/2023]
Abstract
PURPOSE Weight gain and associated negative cardiometabolic effects can occur as a result of mental illness or treatment with second-generation antipsychotics (SGAs), leading to increased rates of morbidity and mortality. In this analysis, we evaluated the effect of the SGA cariprazine on weight and metabolic parameters in a real-world, retrospective, observational dataset. METHODS Electronic health records from the Optum Humedica database (October 1, 2014-December 31, 2020) were analyzed during the 12-month period before starting cariprazine (baseline) and for up to 12 months following cariprazine initiation; approved and off-label indications were included. Body weight trajectories were estimated in the overall patient cohort and at 3-, 6-, and 12-month timepoints (primary objective). Changes in hemoglobin A1c (HbA1c), low-density lipoprotein (LDL), high-density lipoprotein (HDL), and triglycerides were also evaluated (secondary objectives). Percentages of patients with clinically relevant shifts in body weight, total cholesterol, and fasting triglycerides were also determined. Discontinuation rates for metabolic regulating medications were calculated. Average predicted values were estimated by linear mixed-effects regression models. FINDINGS A total of 2,301 patients were included; average duration of follow-up was 133.7 days. Average predicted weight change for patients during the cariprazine overall follow-up period was +2.4 kg, with predicted weight changes of +0.8 kg (n = 811), +1.1 kg (n = 350), and +1.4 kg (n = 107) at months 3, 6, and 12, respectively. Overall, the majority of patients did not experience clinically significant (≥7%) weight gain (82.8%) or loss (90.5%) after starting cariprazine. Average predicted HbA1c levels (n = 189) increased during baseline (0.15%/year) and decreased during cariprazine treatment (-0.2%/year). Average predicted triglyceride levels (n = 257) increased during baseline (15.0 mg/dL/year) and decreased during cariprazine treatment (-0.7 mg/dL/year). Predicted LDL (n = 247) and HDL (n = 255) values decreased during baseline (-7.3 and -1.1 mg/dL/year, respectively); during cariprazine treatment, LDL increased by 5.6 mg/dL/year and HDL decreased by -0.6 mg/dL/year. During follow-up, most patients did not shift from normal/borderline to high total cholesterol (<240 to ≥240 mg/dL; 522 [90.2%]) or fasting triglyceride (<200 to ≥200 mg/dL; 143 [88.8%] patients) levels; shifts from high to normal/borderline levels occurred in 44 (61.1%) patients for total cholesterol and 38 (57.6%) patients for fasting triglycerides. After starting cariprazine, the discontinuation rate per 100 patient-years was 60.4 for antihyperglycemic medication and 87.4 for hyperlipidemia medication. IMPLICATIONS These real-world results support short-term clinical trial findings describing a neutral weight and metabolic profile associated with cariprazine treatment and they expand the dataset to include long-term follow-up.
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Urien L, Jauregizar N, Lertxundi U, Fernández U, Morera-Herreras T. Medication impact on oral health in schizophrenia. Med Oral Patol Oral Cir Bucal 2024; 29:e51-e57. [PMID: 37992139 PMCID: PMC10765325 DOI: 10.4317/medoral.26061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 10/23/2023] [Indexed: 11/24/2023] Open
Abstract
BACKGROUND Patients with schizophrenia constitute a particularly vulnerable group for oral diseases. Among the different factors involved, we aimed to examine the evidence of how drugs could contribute to the poorer oral health of this population. MATERIAL AND METHODS An overview of the potential impact of medication on dental/oral health among people with schizophrenia was proposed focusing on selected literature. RESULTS Studies show a higher dental caries and degree of periodontal diseases in this population and point to drug-induced xerostomia as an important risk factor for oral health deterioration. The risk of dry mouth depends on not only antipsychotics, but also drugs with anticholinergic activity. We hypothesize that antipsychotic induced glycaemic alterations might contribute to reduced oral health, and that the antimicrobial activity of certain antipsychotics could have an impact on oral microbiota affecting oral condition. Pharmacovigilance data show that involuntary movements are caused by typical and some atypical antipsychotics. Dry mouth is most frequently reported for quetiapine and olanzapine, while clozapine is more frequently associated with sialorrhea. CONCLUSIONS Literature clearly shows higher caries and periodontal disease in schizophrenic patients. However, overall, there is scarce literature about the potential influence of drugs in these disorders. Health professionals should be aware of this issue in order to implement adequate preventive measures in this vulnerable population.
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Affiliation(s)
- L Urien
- Dept. Pharmacology, Faculty of Medicine and Nursing University of the Basque Country (UPV/EHU) Barrio Sarriena s/n, 48940-Leioa, Spain
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Nian SY, Hirani V, Ardill-Young O, Ward PB, Curtis J, Teasdale SB. The resting metabolic rate of people with severe mental illness: a systematic review and meta-analysis. Br J Nutr 2023; 130:2025-2038. [PMID: 37157830 DOI: 10.1017/s0007114523001162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
People with severe mental illness (SMI), including schizophrenia and related psychoses and bipolar disorder, are at greater risk for obesity compared with people without mental illness. An altered resting metabolic rate (RMR) may be a key driving factor; however, published studies have not been systematically reviewed. This systematic review and meta-analysis aimed to determine whether the RMR of people with SMI assessed by indirect calorimetry differs from (i) controls, (ii) predictive equations and (iii) after administration of antipsychotic medications. Five databases were searched from database inception to March 2022. Thirteen studies providing nineteen relevant datasets were included. Study quality was mixed (62 % considered low quality). In the primary analysis, RMR in people with SMI did not differ from matched controls (n 2, standardised mean difference (SMD) = 0·58, 95 % CI -1·01, 2·16, P = 0·48, I2 = 92 %). Most predictive equations overestimated RMR. The Mifflin-St. Jeor equation appeared to be most accurate (n 5, SMD = -0·29, 95 % CI -0·73, 0·14, P = 0·19, I2 = 85 %). There were no significant changes in RMR after antipsychotic administration (n 4, SMD = 0·17, 95 % CI -0·21, 0·55, P = 0·38, I2 = 0 %). There is little evidence to suggest there is a difference in RMR between people with SMI and people without when matched for age, sex, BMI and body mass, or that commencement of antipsychotic medication alters RMR.
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Affiliation(s)
- Serena Y Nian
- Discipline of Nutrition and Dietetics, Susan Wakil School of Nursing and Midwifery, Sydney Nursing School, Faculty of Medicine and Health, Charles Perkins Centre, University of Sydney, Camperdown2006, NSW, Australia
| | - Vasant Hirani
- Discipline of Nutrition and Dietetics, Susan Wakil School of Nursing and Midwifery, Sydney Nursing School, Faculty of Medicine and Health, Charles Perkins Centre, University of Sydney, Camperdown2006, NSW, Australia
| | - Oliver Ardill-Young
- Discipline of Psychiatry and Mental Health, University of New South Wales, Botany St, Kensington2031, NSW, Australia
- Mindgardens Neuroscience Network, Margarete Ainsworth Building, Barker St, Randwick2031, NSW, Australia
| | - Philip B Ward
- Discipline of Psychiatry and Mental Health, University of New South Wales, Botany St, Kensington2031, NSW, Australia
- Schizophrenia Research Unit, South Western Sydney Local Health District and Ingham Institute of Applied Medical Research, Liverpool Hospital, Liverpool2170, NSW, Australia
| | - Jackie Curtis
- Discipline of Psychiatry and Mental Health, University of New South Wales, Botany St, Kensington2031, NSW, Australia
- Mindgardens Neuroscience Network, Margarete Ainsworth Building, Barker St, Randwick2031, NSW, Australia
| | - Scott B Teasdale
- Discipline of Psychiatry and Mental Health, University of New South Wales, Botany St, Kensington2031, NSW, Australia
- Mindgardens Neuroscience Network, Margarete Ainsworth Building, Barker St, Randwick2031, NSW, Australia
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Boksha I, Savushkina O, Sheshenin V, Tereshkina E, Prokhorova T, Pochueva V, Burbaeva G. Late onset psychosis treatment with adjunctive medicines. Front Psychiatry 2023; 14:1319891. [PMID: 38188053 PMCID: PMC10768183 DOI: 10.3389/fpsyt.2023.1319891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 12/05/2023] [Indexed: 01/09/2024] Open
Abstract
Background A number of studies have shown the feasibility of using adjunctive drugs in late onset psychosis (LOP). Aim Testing hypothesis that among LOP people treated with antipsychotics and antidepressants, basing on certain clinical characteristics a subgroup of patients might be distinguished, for whom adjunctive therapy is advantageous. This subgroup might be identified by measurement of blood biochemical parameters. Methods 59 in-patients with LOP, treated neuroleptics and antidepressants, were included, and followed in real clinical practice. Database containing demographic, clinical data (scores by PANSS, CDSS, CGI-S, HAMD-17), prescribed therapy, adverse effects of antipsychotic and antidepressant treatment, and blood biochemical parameters (enzymatic activities of glutamate- and glutathione metabolism enzymes in platelets and erythrocytes) at baseline and after the treatment course was created. Results Three groups of patients (Gr1, Gr2, and Gr3), based on the adjunctive therapy usage were identified: Gr1 (n = 16) was without adjunctive therapy, two other groups (Gr2 and Gr3) were with adjunctive medicines, such as 2-ethyl-6-methyl-3-hydroxypyridine succinate (EMHS; Gr2, n = 20), or other drugs, such as citicoline, cerebrolysin, cortexin, actovegin, gliatilin (choline alfoscerate; Gr3, n = 23). The enzymatic activities were assessed also in the matched control group (n = 38). In all three patient groups, as compared with controls, activity of erythrocyte glutathione reductase was decreased at baseline and after the treatment course. In Gr2, unlike Gr1 or Gr3, there was a significant decrease in baseline glutamate dehydrogenase and glutathione-S-transferase activities. Certain clinical criteria were also elucidated for prescription of EMHS as adjunctive therapy for patients of Gr2. Glutamate dehydrogenase and glutathione-S-transferase activities returned closer to control levels after the treatment course in Gr2, unlike Gr1, where they declined yet more after psychotropic treatment without adjunctive medicine. Different significant links between biochemical parameters and scores by clinical scales were observed in Gr1, Gr2, and Gr3, some having predictive value for evaluation of antipsychotic treatment efficacy. Conclusion We demonstrate the validity of adjunctive neuroprotective medicines' usage in addition to antipsychotic and antidepressant therapy in distinct subgroups of patients suffering with LOP, especially those who have prominent side effects accompanying their psychotropic treatment. Returning of biochemical parameters to control range following the treatment course observed in patients of the subgroup treated with adjunctive EMHS is evidence for their metabolism normalization.
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Chow RTS, Whiting D, Favril L, Ostinelli E, Cipriani A, Fazel S. An umbrella review of adverse effects associated with antipsychotic medications: the need for complementary study designs. Neurosci Biobehav Rev 2023; 155:105454. [PMID: 37925094 PMCID: PMC10914636 DOI: 10.1016/j.neubiorev.2023.105454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 10/04/2023] [Accepted: 10/30/2023] [Indexed: 11/06/2023]
Abstract
Antipsychotic medications are widely prescribed in psychotic illnesses and other mental disorders. Effectiveness is well-established, particularly for reducing symptoms such as delusions and hallucinations, but can be impacted by tolerability. Adverse effects are wide-ranging, and vary between antipsychotics, which is clinically important. This umbrella review aimed to comprehensively summarise the extent and quality of evidence for adverse effects associated with antipsychotic use in people with mental disorders. We included 32 meta-analyses of randomised trials and observational studies. The overall robustness of reported associations was considered in terms of review quality, heterogeneity, excess significance bias, and prediction intervals. Using this approach, endocrine and metabolic, movement-related, and sedation and sleep problems were the clinical domains with strongest evidence. The overall quality of included meta-analyses was low, and individual adverse effects were not typically examined in meta-analyses of both randomised trials and observational study designs. Future reviews should focus on adhering to methodological guidelines, consider the complementary strengths of different study designs, and integrate clinically relevant information on absolute rates and severity of adverse effects.
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Affiliation(s)
- Rachel T S Chow
- Department of Psychiatry, University of Oxford, Oxford, England, UK
| | - Daniel Whiting
- Institute of Mental Health, University of Nottingham, Nottingham, England, UK; Nottinghamshire Healthcare NHS Foundation Trust, Nottingham, England, UK
| | - Louis Favril
- Faculty of Law and Criminology, Ghent University, Ghent, Belgium
| | | | - Andrea Cipriani
- Department of Psychiatry, University of Oxford, Oxford, England, UK; Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, England, UK
| | - Seena Fazel
- Department of Psychiatry, University of Oxford, Oxford, England, UK; Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, England, UK.
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Mi L, Yuan Z, Que M, Yang Y, Fang S, Wang X. Observation of the short-term curative effect of using SuperPATH approach to treat elderly femoral neck fractures with schizophrenia. Acta Orthop Belg 2023; 89:639-643. [PMID: 38205754 DOI: 10.52628/89.4.9750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2024]
Abstract
As China enters an aging society, the incidence of femoral neck fractures is increasing year by year. For some patients, total hip arthroplasty (THA) is the treatment of choice for displaced femoral neck fractures. Schizophrenia is a common combination of elderly patients with femoral neck fractures, and there are few reports on the treatment. This study describes the short-term efficacy of the supercapsular percutaneously assisted (SuperPATH) approach in the treatment of patients suffered with displaced femoral neck fractures combined with schizophrenia. A retrospective analysis of 20 elderly patients with displaced femoral neck fractures combined with schizophrenia who underwent THA using the SuperPATH approach. Record demographic data, postoperative reexamination of X-ray film to observe the position and the loosening condition of the prosthesis, the length of hospitalization, complications in the hospital and after discharge. The Harris score of hip joint function was used to evaluate postoperative hip joint function. The average age of the 20 patients was 73.1 years. All patients were followed up by outpatient clinic or telephone. The follow-up time was 3-12 months, with an average of 9.2 months. There was no incision infection, no tissue structure damage such as important nerves and blood vessels, and no complications such as early dislocation, loosening of the joint prosthesis, and deep vein thrombosis of lower extremities. The efficacy of the last follow-up was evaluated according to the Harris score of hip joint function: an average of 91 points (78-98 points); 13 cases were excellent, 5 cases were good, and 2 cases were fair. The SuperPATH approach has the advantages of less surgical damage, shorter recovery time, good surgical safety, preserving the normal tension of the muscles around the hip joint, and reducing the incidence rate of early postoperative dislocation of the joint prosthesis. The THA of the SuperPATH approach can treat patients with displaced femoral neck fractures combined with schizophrenia safely and effectively.
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Yocum AK, Friedman E, Bertram HS, Han P, McInnis MG. Comparative mortality risks in two independent bipolar cohorts. Psychiatry Res 2023; 330:115601. [PMID: 37976662 DOI: 10.1016/j.psychres.2023.115601] [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: 06/19/2023] [Revised: 11/06/2023] [Accepted: 11/09/2023] [Indexed: 11/19/2023]
Abstract
OBJECTIVES To compare mortality rates in bipolar disorder with common causes of mortality. METHODS Observational data from the Prechter Longitudinal Study of Bipolar Disorder (PLS-BD) of 1128 participants including 281 controls was analyzed using logistical regression to quantify mortality rates in comparison with common comorbidities and causes of death. Outcome and treatment measures, including ASRM, GAD-7, PHQ-9 and medication use were used to stratify those with bipolar disorder (BD) that are alive or deceased. A larger cohort of 10,735 existing BD patients with 7,826 controls (no psychiatric diagnosis) from the University of Michigan Health (U-M Health) clinics was used as replication, observational secondary data analysis. RESULTS The mortality rates are significantly different between those with BD and controls in both PLS-BD and U-M Health. Those with BD and are deceased have a higher percentage of elevated depression measures but show no difference in mania or anxiety measures nor medication use patterns. In both cohorts, a diagnosis of BD increases the odds of mortality greater than history of smoking or being older than ≥ 60-years of age. CONCLUSION BD was found to increase odds of mortality significantly and beyond that of a history of smoking. This finding was replicated in an independent sample.
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Affiliation(s)
- Anastasia K Yocum
- Department of Psychiatry, University of Michigan, 4250 Plymouth Rd., Ann Arbor, MI 48109, USA.
| | - Emily Friedman
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Holli S Bertram
- Department of Psychiatry, University of Michigan, 4250 Plymouth Rd., Ann Arbor, MI 48109, USA
| | - Peisong Han
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Melvin G McInnis
- Department of Psychiatry, University of Michigan, 4250 Plymouth Rd., Ann Arbor, MI 48109, USA
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Schoretsanitis G, Strømmen M, Krabseth HM, Helland A, Spigset O. Effects of Sleeve Gastrectomy and Roux-en-Y Gastric Bypass on Escitalopram Pharmacokinetics: A Cohort Study. Ther Drug Monit 2023; 45:805-812. [PMID: 37363832 PMCID: PMC10635340 DOI: 10.1097/ftd.0000000000001114] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 05/03/2023] [Indexed: 06/28/2023]
Abstract
BACKGROUND Changes in the gastrointestinal physiology after bariatric surgery may affect the pharmacokinetics of medications. Data on the impact of different surgical techniques on the pharmacokinetics of commonly prescribed antidepressants such as escitalopram are limited. METHODS This case-only prospective study investigated escitalopram-treated patients who underwent bariatric surgery at hospitals in Central Norway. Escitalopram concentrations were assessed using serial blood samples obtained during a dose interval of 24 hours preoperatively and at 1, 6, and 12 months, postoperatively. The primary outcomes were changes in the area under the time-concentration curve (AUC 0-24 ) with secondary outcomes, including full pharmacokinetic profiling. We performed repeated-measures analysis of variance for the AUC 0-24 and secondary outcomes. RESULTS Escitalopram-treated obese patients who underwent sleeve gastrectomy (n = 5) and Roux-en-Y gastric bypass (n = 4) were included. Compared with preoperative baseline, dose-adjusted AUC 0-24 values were within ±20% at all time points, postoperatively in the sleeve gastrectomy and oux-en-Y gastric bypass groups, with the largest changes occurring 1 month postoperatively (+14.5 and +17.2%, respectively). No statistically significant changes in any pharmacokinetic variables over time were reported; however, there was a trend toward increased maximum concentrations after surgery ( P = 0.069). CONCLUSIONS Our findings suggest that bariatric surgery has no systematic effect on the pharmacokinetics of escitalopram. However, because of the substantial interindividual variation, therapeutic drug monitoring can be considered to guide postoperative dose adjustments.
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Affiliation(s)
- Georgios Schoretsanitis
- The Zucker Hillside Hospital, Psychiatry Research, Northwell Health, Glen Oaks, New York
- Department of Psychiatry at the Donald and Barbara Zucker School of Medicine at Northwell/Hofstra, Hempstead, New York
- Department of Psychiatry, Psychotherapy and Psychosomatics, Hospital of Psychiatry, University of Zurich, Zurich, Switzerland
| | - Magnus Strømmen
- Department of Clinical and Molecular Medicine, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Centre for Obesity Research, Clinic of Surgery, St. Olav University Hospital, Trondheim, Norway; and
| | - Hege-Merete Krabseth
- Department of Clinical Pharmacology, Clinic of Laboratory Medicine, St. Olav University Hospital, Trondheim, Norway
| | - Arne Helland
- Department of Clinical and Molecular Medicine, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Clinical Pharmacology, Clinic of Laboratory Medicine, St. Olav University Hospital, Trondheim, Norway
| | - Olav Spigset
- Department of Clinical and Molecular Medicine, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Clinical Pharmacology, Clinic of Laboratory Medicine, St. Olav University Hospital, Trondheim, Norway
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Heck J, Noltemeyer N, Schulze Westhoff M, Deest-Gaubatz S, Schröder S, Krichevsky B, Simon N, Gerbel S, Friedrich M, Stichtenoth DO, Bleich S, Frieling H, Groh A. Adverse drug reactions in geriatric psychiatry-retrospective cohort study of a 6-year period. Ir J Med Sci 2023; 192:2917-2927. [PMID: 36807758 PMCID: PMC10692025 DOI: 10.1007/s11845-023-03300-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 01/29/2023] [Indexed: 02/23/2023]
Abstract
OBJECTIVE To investigate the frequency and characteristics of adverse drug reactions (ADRs) that occurred on the gerontopsychiatric ward of Hannover Medical School over a 6-year period. DESIGN Retrospective monocentric cohort study. RESULTS Six hundred thirty-four patient cases (mean age 76.6 ± 7.1 years; 67.2% female) were analysed. In total, 92 ADRs in 56 patient cases were registered in the study population. The overall ADR prevalence, the ADR prevalence upon hospital admission, and the ADR prevalence during hospitalisation were 8.8%, 6.3%, and 4.9%, respectively. The most frequent ADRs were extrapyramidal symptoms, alterations in blood pressure or heart rate, and electrolyte disturbances. Of note, two cases of asystole and one case of obstructive airway symptoms related to general anaesthesia in the context of electroconvulsive therapy (ECT) were detected. The presence of coronary heart disease was associated with an increased risk of ADR occurrence (odds ratio (OR) 2.92, 95% confidence interval (CI) 1.37-6.22), while the presence of dementia was associated with a decreased risk of ADR development (OR 0.45, 95% CI 0.23-0.89). CONCLUSIONS Type and prevalence of ADRs in the present study were largely in accordance with previous reports. By contrast, we did not observe a relationship between advanced age or female sex and ADR occurrence. We detected a risk signal for cardiopulmonary ADRs related to general anaesthesia in the context of ECT that warrants further investigation. Elderly psychiatric patients should be carefully screened for cardiopulmonary comorbidities before initiation of ECT.
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Affiliation(s)
- Johannes Heck
- Institute for Clinical Pharmacology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany.
| | - Nina Noltemeyer
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Martin Schulze Westhoff
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Stephanie Deest-Gaubatz
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Sebastian Schröder
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Benjamin Krichevsky
- Institute for General Practice and Palliative Care, Hannover Medical School, Hannover, Germany
- Medical Service of the German Armed Forces, Kiel, Germany
| | - Nicolas Simon
- Hannover Medical School, MHH Information Technology, Hannover, Germany
| | - Swetlana Gerbel
- Hannover Medical School, MHH Information Technology, Hannover, Germany
| | | | - Dirk O Stichtenoth
- Institute for Clinical Pharmacology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
- Drug Commissioner of Hannover Medical School, Hannover, Germany
| | - Stefan Bleich
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Helge Frieling
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Adrian Groh
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
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Hynes-Ryan C, Carolan A, Feeney L, Strawbridge J, Purcell A, Gilsenan G, O'Donoghue D, Keating D. Pharmacist-led medicines optimisation service in an inpatient mental health setting. Ir J Psychol Med 2023:1-8. [PMID: 38031710 DOI: 10.1017/ipm.2023.46] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2023]
Abstract
Medicines optimisation ensures that people get the best possible outcomes from their medicines. As those with severe mental illness (SMI) are frequently prescribed psychotropic medicines with potentially significant side-effects, poor adherence to treatment and physical morbidity are common. This results in suboptimal symptom control, physical health problems and negative health outcomes. The specialist mental health pharmacist (SMHP) is best placed to provide leadership for medicines optimisation in the inpatient mental health setting. By adopting a patient-centred approach to providing information, improving adherence, screening, initiating and maintaining medicines, and supporting self-advocacy, the SMHP can ensure the patients' experience of taking medicines is optimised. As there is currently limited understanding of what a baseline clinical pharmacy service in a mental health setting looks like, we aim to outline a framework for pharmacist-led medicines optimisation for those with SMI. This framework is suitable to be scaled and adapted to other settings.
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Affiliation(s)
- Caroline Hynes-Ryan
- Pharmacy Department, Saint John of God Hospital, Dublin, Ireland
- Royal College of Surgeons in Ireland - University of Medicine and Health Sciences, Dublin, Ireland
| | - Aoife Carolan
- Pharmacy Department, Saint John of God Hospital, Dublin, Ireland
- Royal College of Surgeons in Ireland - University of Medicine and Health Sciences, Dublin, Ireland
| | - Larkin Feeney
- Mental Health Services, HSE Community Healthcare East CHO 6, Dublin, Ireland
- Saint John of God Community Mental Health Services, Dublin, Ireland
| | - Judith Strawbridge
- School of Pharmacy and Biomolecular Sciences (PBS), Royal College of Surgeons in Ireland - University of Medicine and Health Sciences, Dublin, Ireland
| | - Audrey Purcell
- Pharmacy Department, Saint John of God Hospital, Dublin, Ireland
- School of Pharmacy and Biomolecular Sciences (PBS), Royal College of Surgeons in Ireland - University of Medicine and Health Sciences, Dublin, Ireland
| | | | | | - Dolores Keating
- Pharmacy Department, Saint John of God Hospital, Dublin, Ireland
- School of Pharmacy and Biomolecular Sciences (PBS), Royal College of Surgeons in Ireland - University of Medicine and Health Sciences, Dublin, Ireland
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Høgnason Mohr G, Barcella CA, Grand MK, Kriegbaum M, Siersma V, Hahn MK, Agarwal SM, Bakkedal C, Baandrup L, Knop FK, Andersen CL, Ebdrup BH. Management of dyslipidaemia in individuals with severe mental illness: a population-based study in the Greater Copenhagen Area. Ther Adv Psychopharmacol 2023; 13:20451253231211574. [PMID: 38022836 PMCID: PMC10656803 DOI: 10.1177/20451253231211574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 09/23/2023] [Indexed: 12/01/2023] Open
Abstract
Background Severe mental illness (SMI) is associated with increased cardiovascular risk. Dyslipidaemia is a potentially modifiable risk factor, which may be inadequately managed in patients with SMI. Objectives To assess management of dyslipidaemia in patients with SMI versus healthy controls (HCs) in 2005 and 2015. Design and methods Using Danish registers, we identified adult patients with SMI in the Greater Copenhagen Area (schizophrenia spectrum disorders or bipolar disorder) with ⩾1 general practitioner contact in the year before 2005 and 2015, respectively, and HCs without SMI matched on age and gender (1:5). Outcomes were lipid-profile measurements, presence of dyslipidaemia and redemption of lipid-lowering pharmacotherapy. Differences in outcomes between patients with SMI and controls were measured with multivariable logistic regression. Results We identified 7217 patients with SMI in 2005 and 9939 in 2015. After 10 years, patients went from having lower odds of lipid measurements to having higher odds of lipid measurements compared with HCs [odds ratio (OR)2005 0.70 (99% confidence interval (CI) 0.63-0.78) versus OR2015 1.34 (99% CI 1.24-1.44); p2005versus2015 < 0.01]. Patients had higher odds of dyslipidaemia during both years [OR2005 1.43 (99% CI 1.10-1.85) and OR2015 1.23 (99% CI 1.08-1.41)]. Patients went from having lower odds of receiving lipid-lowering pharmacotherapy to having higher odds of receiving lipid-lowering pharmacotherapy [OR2005 0.77 (99% CI 0.66-0.89) versus OR2015 1.37 (99% CI 1.24-1.51); p2005versus2015 < 0.01]. However, among persons at high cardiovascular risk, patients had lower odds of receiving lipid-lowering pharmacotherapy during both years, including subsets with previous acute coronary syndrome [OR2005 0.30 (99% CI 0.15-0.59) and OR2015 0.44 (99% CI 0.24-0.83)] and ischaemic stroke or transient ischaemic attack (TIA) [OR2005 0.43 (99% CI 0.26-0.69) and OR 2015 0.61 (99% CI 0.41-0.89)]. Conclusion These results imply an increased general awareness of managing dyslipidaemia among patients with SMI in the primary prophylaxis of cardiovascular disease. However, secondary prevention with lipid-lowering drugs in patients with SMI at high cardiovascular risk may be lacking.
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Affiliation(s)
- Grimur Høgnason Mohr
- Center for Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Nordstjernevej 41, 2600 Glostrup, Denmark
| | - Carlo Alberto Barcella
- Department of Cardiology, Copenhagen University Hospital Herlev and Gentofte, University of Copenhagen, Hellerup, Denmark
- Department of Internal Medicine, Nykøbing Falster Hospital, Nykøbing Falster, Denmark
| | - Mia Klinten Grand
- Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Margit Kriegbaum
- Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Volkert Siersma
- Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Margaret K. Hahn
- Center for Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark
- Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Sri Mahavir Agarwal
- Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Catrine Bakkedal
- Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Lone Baandrup
- Center for Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark
- Mental Health Centre Copenhagen, Bispebjerg-Gentofte, Copenhagen NV, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Filip Krag Knop
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - Christen Lykkegaard Andersen
- Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- Department of Hematology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Bjørn Hylsebeck Ebdrup
- Center for Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Gałęzowski M, Fabritius CH, Pesonen U, Salo H, Olszak-Płachta M, Czerwińska K, Adamczyk J, Król M, Prusis P, Sieprawska-Lupa M, Mikulski M, Kuokkanen K, Obuchowicz R, Korjamo T, Jalava N, Nikiforuk A, Nowak M. 5-HT 6 receptor antagonists. Design, synthesis, and structure-activity relationship of substituted 2-(1-methyl-4-piperazinyl)pyridines. Bioorg Med Chem Lett 2023; 96:129497. [PMID: 37806499 DOI: 10.1016/j.bmcl.2023.129497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 10/01/2023] [Accepted: 10/02/2023] [Indexed: 10/10/2023]
Abstract
In this study, we present the discovery and pharmacological characterization of a new series of 6-piperazinyl-7-azaindoles. These compounds demonstrate potent antagonism and selectivity against the 5-HT6 receptor. Our research primarily focuses on optimizing the lead structure and investigating the structure-activity relationship (SAR) of these compounds. Our main objective is to improve their activity and selectivity against off-target receptors. Overall, our findings contribute to the advancement of novel compounds targeting the 5-HT6 receptor. Compound 29 exhibits significant promise in terms of pharmacological, physicochemical, and ADME (Absorption, Distribution, Metabolism, and Excretion) properties. Consequently, it merits thorough exploration as a potential drug candidate due to its favorable activity profile and successful outcomes in a range of in vivo experiments.
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Affiliation(s)
| | | | - Ullamari Pesonen
- Orion Corporation, Orion Pharma, Orionintie 1A, 02200 Espoo, Finland
| | - Harri Salo
- Orion Corporation, Orion Pharma, Orionintie 1A, 02200 Espoo, Finland
| | | | | | - Justyna Adamczyk
- Ryvu Therapeutics S.A., Sternbacha Street 2, 30-394 Kraków, Poland
| | - Marcin Król
- Ryvu Therapeutics S.A., Sternbacha Street 2, 30-394 Kraków, Poland
| | - Peteris Prusis
- Orion Corporation, Orion Pharma, Orionintie 1A, 02200 Espoo, Finland
| | | | - Maciej Mikulski
- Ryvu Therapeutics S.A., Sternbacha Street 2, 30-394 Kraków, Poland
| | - Katja Kuokkanen
- Orion Corporation, Orion Pharma, Orionintie 1A, 02200 Espoo, Finland
| | | | - Timo Korjamo
- Orion Corporation, Orion Pharma, Orionintie 1A, 02200 Espoo, Finland
| | - Niina Jalava
- Orion Corporation, Orion Pharma, Orionintie 1A, 02200 Espoo, Finland
| | - Agnieszka Nikiforuk
- Department of Behavioral Neuroscience and Drug Development, Maj Institute of Pharmacology Polish Academy of Sciences, 12 Smętna Street, 31-343 Kraków, Poland
| | - Mateusz Nowak
- Ryvu Therapeutics S.A., Sternbacha Street 2, 30-394 Kraków, Poland
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46
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Stogios N, Humber B, Agarwal SM, Hahn M. Antipsychotic-Induced Weight Gain in Severe Mental Illness: Risk Factors and Special Considerations. Curr Psychiatry Rep 2023; 25:707-721. [PMID: 37755655 DOI: 10.1007/s11920-023-01458-0] [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] [Accepted: 09/12/2023] [Indexed: 09/28/2023]
Abstract
PURPOSE OF REVIEW Weight gain is a disconcerting issue experienced by patients treated with antipsychotics (APs). This review summarizes current knowledge on the prevalence, etiology, and risk factors for antipsychotic-induced weight gain (AIWG), and evidence for interventions, including special considerations. RECENT FINDINGS Predisposing risk factors for AIWG include lack of prior AP exposure, sex, and age. AP dose and duration of exposure are additional treatment-related factors that may contribute to this issue. Among current approaches to target AIWG, metformin has the most evidence to support its use, and this is increasingly reflected in clinical guidelines. While lifestyle approaches are recommended, cost-effectiveness and scalability represent limitations. More research is needed to identify newer treatment options and inform clinical recommendations for AIWG. Concerns around scope of practice in psychiatry to address AIWG and related comorbidities will require enhanced training opportunities and interdisciplinary collaborations, as well as updated position statements/practice guidelines emphasizing prevention.
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Affiliation(s)
- Nicolette Stogios
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), 1051 Queen Street West, Toronto, ON, M6J 1H3, Canada
- Institute of Medical Science, University of Toronto, Toronto, Canada
| | - Bailey Humber
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), 1051 Queen Street West, Toronto, ON, M6J 1H3, Canada
- Institute of Medical Science, University of Toronto, Toronto, Canada
| | - Sri Mahavir Agarwal
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), 1051 Queen Street West, Toronto, ON, M6J 1H3, Canada
- Institute of Medical Science, University of Toronto, Toronto, Canada
- Department of Psychiatry, University of Toronto, Toronto, Canada
- Banting and Best Diabetes Centre (BBDC), University of Toronto, Toronto, Canada
| | - Margaret Hahn
- Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), 1051 Queen Street West, Toronto, ON, M6J 1H3, Canada.
- Institute of Medical Science, University of Toronto, Toronto, Canada.
- Department of Psychiatry, University of Toronto, Toronto, Canada.
- Banting and Best Diabetes Centre (BBDC), University of Toronto, Toronto, Canada.
- Department of Pharmacology, University of Toronto, Toronto, Canada.
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47
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Rødevand L, Rahman Z, Hindley GFL, Smeland OB, Frei O, Tekin TF, Kutrolli G, Bahrami S, Hoseth EZ, Shadrin A, Lin A, Djurovic S, Dale AM, Steen NE, Andreassen OA. Characterizing the Shared Genetic Underpinnings of Schizophrenia and Cardiovascular Disease Risk Factors. Am J Psychiatry 2023; 180:815-826. [PMID: 37752828 DOI: 10.1176/appi.ajp.20220660] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/28/2023]
Abstract
OBJECTIVE Schizophrenia is associated with increased risk of cardiovascular disease (CVD), although there is variation in risk among individuals. There are indications of shared genetic etiology between schizophrenia and CVD, but the nature of the overlap remains unclear. The aim of this study was to fill this gap in knowledge. METHODS Overlapping genetic architectures between schizophrenia and CVD risk factors were assessed by analyzing recent genome-wide association study (GWAS) results. The bivariate causal mixture model (MiXeR) was applied to estimate the number of shared variants and the conjunctional false discovery rate (conjFDR) approach was used to pinpoint specific shared loci. RESULTS Extensive genetic overlap was found between schizophrenia and CVD risk factors, particularly smoking initiation (N=8.6K variants) and body mass index (BMI) (N=8.1K variants). Several specific shared loci were detected between schizophrenia and BMI (N=304), waist-to-hip ratio (N=193), smoking initiation (N=293), systolic (N=294) and diastolic (N=259) blood pressure, type 2 diabetes (N=147), lipids (N=471), and coronary artery disease (N=35). The schizophrenia risk loci shared with smoking initiation had mainly concordant effect directions, and the risk loci shared with BMI had mainly opposite effect directions. The overlapping loci with lipids, blood pressure, waist-to-hip ratio, type 2 diabetes, and coronary artery disease had mixed effect directions. Functional analyses implicated mapped genes that are expressed in brain tissue and immune cells. CONCLUSIONS These findings indicate a genetic propensity to smoking and a reduced genetic risk of obesity among individuals with schizophrenia. The bidirectional effects of the shared loci with the other CVD risk factors may imply differences in genetic liability to CVD across schizophrenia subgroups, possibly underlying the variation in CVD comorbidity.
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Affiliation(s)
- Linn Rødevand
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Zillur Rahman
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Guy F L Hindley
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Olav B Smeland
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Oleksandr Frei
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Tahir Filiz Tekin
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Gleda Kutrolli
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Shahram Bahrami
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Eva Z Hoseth
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Alexey Shadrin
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Aihua Lin
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Srdjan Djurovic
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Anders M Dale
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Nils Eiel Steen
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
| | - Ole A Andreassen
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo (Rødevand, Rahman, Hindley, Smeland, Frei, Tekin, Kutrolli, Bahrami, Hoseth, Shadrin, Lin, Steen, Andreassen); Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London (Hindley); Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo (Frei); Division of Mental Health, Helse Møre Romsdal HF, Kristiansund, Norway (Hoseth); Department of Medical Genetics, Oslo University Hospital, Oslo, and NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway (Djurovic); Multimodal Imaging Laboratory and Departments of Radiology, Psychiatry, and Neurosciences, University of California San Diego, La Jolla (Dale)
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Chan JKN, Correll CU, Wong CSM, Chu RST, Fung VSC, Wong GHS, Lei JHC, Chang WC. Life expectancy and years of potential life lost in people with mental disorders: a systematic review and meta-analysis. EClinicalMedicine 2023; 65:102294. [PMID: 37965432 PMCID: PMC10641487 DOI: 10.1016/j.eclinm.2023.102294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 10/10/2023] [Accepted: 10/12/2023] [Indexed: 11/16/2023] Open
Abstract
Background Mental disorders are associated with premature mortality. There is increasing research examining life expectancy and years-of-potential-life-lost (YPLL) to quantify the disease impact on survival in people with mental disorders. We aimed to systematically synthesize studies to estimate life expectancy and YPLL in people with any and specific mental disorders across a broad spectrum of diagnoses. Methods In this systematic review and meta-analysis, we searched Embase, MEDLINE, PsychINFO, WOS from inception to July 31, 2023, for published studies reporting life expectancy and/or YPLL for mental disorders. Criteria for study inclusion were: patients of all ages with any mental disorders; reported data on life expectancy and/or YPLL of a mental-disorder cohort relative to the general population or a comparison group without mental disorders; and cohort studies. We excluded non-cohort studies, publications containing non-peer-reviewed data or those restricted to population subgroups. Survival estimates, i.e., life expectancy and YPLL, were pooled (based on summary data extracted from the included studies) using random-effects models. Subgroup analyses and random-effects meta-regression analyses were performed to explore sources of heterogeneity. Risk-of-bias assessment was evaluated using the Newcastle-Ottawa Scale. This study is registered with PROSPERO (CRD42022321190). Findings Of 35,865 studies identified in our research, 109 studies from 24 countries or regions including 12,171,909 patients with mental disorders were eligible for analysis (54 for life expectancy and 109 for YPLL). Pooled life expectancy for mental disorders was 63.85 years (95% CI 62.63-65.06; I2 = 100.0%), and pooled YPLL was 14.66 years (95% CI 13.88-15.98; I2 = 100.0%). Disorder-stratified analyses revealed that substance-use disorders had the shortest life expectancy (57.07 years [95% CI 54.47-59.67]), while neurotic disorders had the longest lifespan (69.51 years [95% CI 67.26-71.76]). Substance-use disorders exhibited the greatest YPLL (20.38 years [95% CI 18.65-22.11]), followed by eating disorders (16.64 years [95% CI 7.45-25.82]), schizophrenia-spectrum disorders (15.37 years [95% CI 14.18-16.55]), and personality disorders (15.35 years [95% CI 12.80-17.89]). YPLLs attributable to natural and unnatural deaths in mental disorders were 4.38 years (95% CI 3.15-5.61) and 8.11 years (95% CI 6.10-10.13; suicide: 8.31 years [95% CI 6.43-10.19]), respectively. Stratified analyses by study period suggested that the longevity gap persisted over time. Significant cross-study heterogeneity was observed. Interpretation Mental disorders are associated with substantially reduced life expectancy, which is transdiagnostic in nature, encompassing a wide range of diagnoses. Implementation of comprehensive and multilevel intervention approaches is urgently needed to rectify lifespan inequalities for people with mental disorders. Funding None.
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Affiliation(s)
- Joe Kwun Nam Chan
- LKS Faculty of Medicine, Department of Psychiatry, The University of Hong Kong, Hong Kong, China
| | - Christoph U. Correll
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Child and Adolescent Psychiatry, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Corine Sau Man Wong
- LKS Faculty of Medicine, School of Public Health, The University of Hong Kong, Hong Kong, China
| | - Ryan Sai Ting Chu
- LKS Faculty of Medicine, Department of Psychiatry, The University of Hong Kong, Hong Kong, China
| | - Vivian Shi Cheng Fung
- LKS Faculty of Medicine, Department of Psychiatry, The University of Hong Kong, Hong Kong, China
| | - Gabbie Hou Sem Wong
- LKS Faculty of Medicine, Department of Psychiatry, The University of Hong Kong, Hong Kong, China
| | - Janet Hiu Ching Lei
- LKS Faculty of Medicine, Department of Psychiatry, The University of Hong Kong, Hong Kong, China
| | - Wing Chung Chang
- LKS Faculty of Medicine, Department of Psychiatry, The University of Hong Kong, Hong Kong, China
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China
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49
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Riera-Molist N, Assens-Tauste M, Roura-Poch P, Guimerà-Gallent M, Santos-López JM, Serra-Millas M, Frau-Rosselló N, Gallego-Peña E, Foguet-Boreu Q. A Cardiovascular Risk Optimization Program in People With Schizophrenia: A Pilot Randomized Controlled Clinical Trial. J Psychiatr Pract 2023; 29:456-468. [PMID: 37948170 PMCID: PMC10631505 DOI: 10.1097/pra.0000000000000743] [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] [Indexed: 11/12/2023]
Abstract
BACKGROUND Cardiovascular disease is one of the leading causes of premature death in people with schizophrenia. Some modifiable factors that have been implicated include unhealthy lifestyle, medication side effects, and physical comorbidities. The goal of this study was to assess the efficacy of a 6-month, multifactorial cardiovascular risk intervention to reduce cardiovascular risk (CVR) in people with schizophrenia. METHODS We conducted a 2-arm, parallel, randomized clinical trial in a regional mental health center. Participants with at least 1 poorly controlled cardiovascular risk factor (CVRF) (hypertension, diabetes mellitus, hypercholesterolemia, or tobacco smoking) were randomly assigned to the intervention group or to a control group. The subjects in the intervention group received a patient-centered approach that included promoting a healthy lifestyle, pharmacological management of CVRFs, psychotropic drug optimization, and motivational follow-up [Programa d'optimització del RISc CArdiovascular (PRISCA)]. The main outcome was change in CVR as assessed using the Framingham-REGICOR function, after 6 months compared with the baseline in both groups. RESULTS Forty-six participants were randomly assigned to the PRISCA group (n=23) or the control group (n=23). The most prevalent CVRFs at baseline were hypercholesterolemia (84.8%) and tobacco smoking (39.1%). The PRISCA group showed a significant reduction in the REGICOR score (-0.96%; 95% CI: -1.60 to -0.32, P=0.011) after 6 months (relative risk reduction of 20.9%), with no significant changes in the control group (0.21%; 95% CI: -0.47 to 0.89, P=0.706). In the PRISCA group, low-density lipoprotein cholesterol also decreased significantly (-27.14 mg/dL; 95% CI: -46.28 to -8.00, P=0.008). CONCLUSION A patient-centered, multifactorial cardiovascular risk intervention improved CVR in people with schizophrenia after 6 months, which was achieved mainly by improving the lipid profile.
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50
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Chai Y, Chu RYK, Hu Y, Lam ICH, Cheng FWT, Luo H, Wong MCS, Chan SSM, Chan EWY, Wong ICK, Lai FTT. Association between cumulative exposure periods of flupentixol or any antipsychotics and risk of lung cancer. COMMUNICATIONS MEDICINE 2023; 3:126. [PMID: 37752185 PMCID: PMC10522572 DOI: 10.1038/s43856-023-00364-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 09/18/2023] [Indexed: 09/28/2023] Open
Abstract
BACKGROUND Preclinical evidence suggests that certain antipsychotic medications may inhibit the development of lung cancer. This study aims to investigate the association between incident lung cancer and different cumulative exposure periods of flupentixol or any antipsychotics. METHODS Using electronic health records from the Hospital Authority in Hong Kong, this nested case-control study included case participants aged 18 years or older with newly diagnosed lung cancer after initiating antipsychotics between January 1, 2003, and August 31, 2022. Each case was matched to up to ten controls of the same sex and age, who were also antipsychotic users. Multivariable conditional logistic regression models were conducted to quantify the association between lung cancer and different cumulative exposure times of flupentixol (0-365 days [ref]; 366-1825 days; 1826+ days) and any antipsychotics (1-365 days [ref]; 366-1825 days; 1826+ days), separately. RESULTS Here we show that among 6435 cases and 64,348 matched controls, 64.06% are males, and 52.98% are aged 65-84 years. Compared to patients with less than 365 days of exposure, those with 366-1825 days of exposure to flupentixol (OR = 0.65 [95% CI, 0.47-0.91]) and any antipsychotics (0.42 [0.38-0.45]) have a lower risk of lung cancer. A decreased risk is observed in patients who have 1826+ days of cumulative use of any antipsychotics (0.54 [0.47-0.60]). CONCLUSIONS A reduced risk of lung cancer is observed in patients with more than one year of exposure to flupentixol or any antipsychotics. Further research on the association between lung cancer and other antipsychotic agents is warranted.
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Affiliation(s)
- Yi Chai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- The Hong Kong Jockey Club Center for Suicide Research and Prevention, The University of Hong Kong, Hong Kong SAR, China
| | - Rachel Yui Ki Chu
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Yuqi Hu
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ivan Chun Hang Lam
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Franco Wing Tak Cheng
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Hao Luo
- The Hong Kong Jockey Club Center for Suicide Research and Prevention, The University of Hong Kong, Hong Kong SAR, China
- Department of Social Work and Social Administration, Faculty of Social Sciences, The University of Hong Kong, Hong Kong SAR, China
- Sau Po Centre on Ageing, The University of Hong Kong, Hong Kong SAR, China
| | - Martin Chi Sang Wong
- Centre for Health Education and Health Promotion, The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Sandra Sau Man Chan
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Esther Wai Yin Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China
| | - Ian Chi Kei Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China.
| | - Francisco Tsz Tsun Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China.
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
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