1
|
Tsai DHT, Bell JS, Abtahi S, Baak BN, Bazelier MT, Brauer R, Chan AYL, Chan EW, Chen H, Chui CSL, Cook S, Crystal S, Gandhi P, Hartikainen S, Ho FK, Hsu ST, Ilomäki J, Kim JH, Klungel OH, Koponen M, Lau WCY, Lau KK, Lum TYS, Luo H, Man KKC, Pell JP, Setoguchi S, Shao SC, Shen CY, Shin JY, Souverein PC, Tolppanen AM, Wei L, Wong ICK, Lai ECC. Cross-Regional Data Initiative for the Assessment and Development of Treatment for Neurological and Mental Disorders. Clin Epidemiol 2023; 15:1241-1252. [PMID: 38146486 PMCID: PMC10749544 DOI: 10.2147/clep.s426485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 11/04/2023] [Indexed: 12/27/2023] Open
Abstract
Purpose To describe and categorize detailed components of databases in the Neurological and Mental Health Global Epidemiology Network (NeuroGEN). Methods An online 132-item questionnaire was sent to key researchers and data custodians of NeuroGEN in North America, Europe, Asia and Oceania. From the responses, we assessed data characteristics including population coverage, data follow-up, clinical information, validity of diagnoses, medication use and data latency. We also evaluated the possibility of conversion into a common data model (CDM) to implement a federated network approach. Moreover, we used radar charts to visualize the data capacity assessments, based on different perspectives. Results The results indicated that the 15 databases covered approximately 320 million individuals, included in 7 nationwide claims databases from Australia, Finland, South Korea, Taiwan and the US, 6 population-based electronic health record databases from Hong Kong, Scotland, Taiwan, the Netherlands and the UK, and 2 biomedical databases from Taiwan and the UK. Conclusion The 15 databases showed good potential for a federated network approach using a common data model. Our study provided publicly accessible information on these databases for those seeking to employ real-world data to facilitate current assessment and future development of treatments for neurological and mental disorders.
Collapse
Affiliation(s)
- Daniel Hsiang-Te Tsai
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Centre for Neonatal and Paediatric Infection, St George’s University of London, London, UK
| | - J Simon Bell
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Shahab Abtahi
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands
| | - Brenda N Baak
- PHARMO Institute for Drug Outcomes Research, Utrecht, the Netherlands
| | - Marloes T Bazelier
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands
| | - Ruth Brauer
- Research Department of Practice and Policy, UCL School of Pharmacy, London, UK
| | - Adrienne Y L Chan
- Research Department of Practice and Policy, UCL School of Pharmacy, London, UK
- Groningen Research Institute of Pharmacy, Unit of Pharmacotherapy, ‐Epidemiology and ‐Economics, University of Groningen, Groningen, the Netherlands
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong, Special Administrative Region, People’s Republic of China
| | - Esther W Chan
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong, Special Administrative Region, People’s Republic of China
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
- Department of Pharmacy, the University of Hong Kong-Shenzhen Hospital, Shenzhen, People’s Republic of China
- The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, People’s Republic of China
| | - Haoqian Chen
- Center for Pharmacoepidemiology and Treatment Science (PETS), Institute for Health, Rutgers University, New Brunswick, NJ, USA
| | - Celine S L Chui
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong, Special Administrative Region, People’s Republic of China
- School of Nursing, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
- School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
| | - Sharon Cook
- Center for Health Services Research, Rutgers University, New Brunswick, NJ, USA
| | - Stephen Crystal
- Center for Health Services Research, Rutgers University, New Brunswick, NJ, USA
| | - Poonam Gandhi
- Center for Pharmacoepidemiology and Treatment Science (PETS), Institute for Health, Rutgers University, New Brunswick, NJ, USA
| | - Sirpa Hartikainen
- Kuopio Research Centre of Geriatric Care and School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Frederick K Ho
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Shao-Ti Hsu
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Jenni Ilomäki
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Ju Hwan Kim
- School of Pharmacy, Sungkyunkwan University, Suwon, South Korea
| | - Olaf H Klungel
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands
| | - Marjaana Koponen
- Kuopio Research Centre of Geriatric Care and School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Wallis C Y Lau
- Research Department of Practice and Policy, UCL School of Pharmacy, London, UK
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong, Special Administrative Region, People’s Republic of China
| | - Kui Kai Lau
- Division of Neurology, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
- State Key Laboratory of Brain and Cognitive Sciences, University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
| | - Terry Y S Lum
- Department of Social Work and Social Administration, University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
| | - Hao Luo
- Department of Social Work and Social Administration, University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
| | - Kenneth K C Man
- Research Department of Practice and Policy, UCL School of Pharmacy, London, UK
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong, Special Administrative Region, People’s Republic of China
| | - Jill P Pell
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Soko Setoguchi
- Center for Pharmacoepidemiology and Treatment Science (PETS), Institute for Health, Rutgers University, New Brunswick, NJ, USA
- Department of Medicine, Rutgers Robert Wood Johnson Medical School and Pharmacoepidemiology and Treatments Science, Institute for Health, Rutgers University, New Brunswick, NJ, USA
| | - Shih-Chieh Shao
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Pharmacy, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Chin-Yao Shen
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Ju-Young Shin
- School of Pharmacy, Sungkyunkwan University, Suwon, South Korea
- Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, South Korea
- Department of Biohealth Regulatory Science, Sungkyunkwan University, Seoul, South Korea
| | - Patrick C Souverein
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands
| | - Anna-Maija Tolppanen
- Kuopio Research Centre of Geriatric Care and School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Li Wei
- Research Department of Practice and Policy, UCL School of Pharmacy, London, UK
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong, Special Administrative Region, People’s Republic of China
| | - Ian C K Wong
- Research Department of Practice and Policy, UCL School of Pharmacy, London, UK
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, Special Administrative Region, People’s Republic of China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong, Special Administrative Region, People’s Republic of China
- Aston Pharmacy School, Aston University, Birmingham, UK
| | - Edward Chia-Cheng Lai
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| |
Collapse
|
2
|
Kaguelidou F, Valtuille Z, Durrieu G, Delorme R, Peyre H, Treluyer JM, Montastruc F, Chouchana L. Weight Gain During Antipsychotic Treatment in Children, Adolescents, and Adults: A Disproportionality Analysis in the Global Pharmacovigilance Database, Vigibase ®. Drug Saf 2023; 46:77-85. [PMID: 36459374 DOI: 10.1007/s40264-022-01252-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/18/2022] [Indexed: 12/03/2022]
Abstract
INTRODUCTION While antipsychotic-induced weight gain has been widely described in adults, it has yet to be better characterized in children and adolescents. OBJECTIVE The aim of this study was to assess antipsychotic-induced weight-gain reporting in children and adolescents as compared to adults, and according to the type of antipsychotic. METHODS The study is an observational, case-non-case study using individual case safety reports from the WHO global pharmacovigilance database VigiBase® from 1 January 2000 to 2 June 2021. Disproportionality in antipsychotic-related weight-gain reporting in children and adolescents compared to adults was evaluated based on reporting odds ratios (RORs) with corresponding 95% confidence intervals (CIs) through multivariate logistic regression modeling. Analysis was adjusted for sex, region of reporting, year of notification, reporter qualification, concomitant use of antidepressants, and use of more than one antipsychotic. RESULTS Among 282,224 antipsychotic-related spontaneous reports included in this analysis, we identified 16,881 (6.0%) weight-gain cases. Disproportionality in weight-gain reporting was found in children (adjusted ROR (aROR) 3.6; 95% CI 3.3-3.8) and in adolescents (aROR 2.3; 95% CI 2.2-2.4) compared to adults. Use of risperidone was associated with the highest increase in weight-gain reporting in children (aROR 4.9; 95% CI 3.9-6.1) and adolescents (aROR 3.6; 95% CI 3.1-4.1). CONCLUSIONS Compared to adults, weight-gain reporting with antipsychotics was disproportionally higher in the pediatric population, especially in children under 12 years of age. Considering the impact of weight gain on global morbidity and mortality, physicians should closely monitor weight gain in young patients, especially children on risperidone.
Collapse
Affiliation(s)
- Florentia Kaguelidou
- Department of Pediatric Pharmacology, APHP.Nord, Robert Debre Hospital, Paris Cité University, Paris, France. .,Clinical Investigations Center, Inserm CIC1426, Hôpital Robert Debré, 48 boulevard Sérurier, 75019, Paris, France. .,EA7323 "Therapeutic Assessment, and Perinatal and Pediatric Pharmacology", Paris Cité University, Paris, France.
| | - Zaba Valtuille
- Department of Pediatric Pharmacology, APHP.Nord, Robert Debre Hospital, Paris Cité University, Paris, France.,Clinical Investigations Center, Inserm CIC1426, Hôpital Robert Debré, 48 boulevard Sérurier, 75019, Paris, France
| | - Geneviève Durrieu
- Department of Medical and Clinical Pharmacology, Centre of Pharmacovigilance and Pharmacoepidemiology, Faculty of Medicine, Toulouse University Hospital (CHU), Toulouse, France.,CIC 1436, Team PEPSS (Pharmacologie En Population cohorteS et biobanqueS), Toulouse University Hospital, Toulouse, France
| | - Richard Delorme
- Department of Child and Adolescent Psychiatry, Robert Debre Hospital, APHP Nord, Paris Cité University, Paris, France.,Human Genetics and Cognitive Functions, Institut Pasteur, Paris, France
| | - Hugo Peyre
- Department of Child and Adolescent Psychiatry, Robert Debre Hospital, APHP Nord, Paris Cité University, Paris, France.,Human Genetics and Cognitive Functions, Institut Pasteur, Paris, France
| | - Jean-Marc Treluyer
- EA7323 "Therapeutic Assessment, and Perinatal and Pediatric Pharmacology", Paris Cité University, Paris, France.,Department of Pharmacology, Regional Center of Pharmacovigilance, Cochin Hospital, AP-HP Centre-Paris Cité University, Paris, France
| | - François Montastruc
- Department of Medical and Clinical Pharmacology, Centre of Pharmacovigilance and Pharmacoepidemiology, Faculty of Medicine, Toulouse University Hospital (CHU), Toulouse, France.,CIC 1436, Team PEPSS (Pharmacologie En Population cohorteS et biobanqueS), Toulouse University Hospital, Toulouse, France
| | - Laurent Chouchana
- EA7323 "Therapeutic Assessment, and Perinatal and Pediatric Pharmacology", Paris Cité University, Paris, France.,Department of Pharmacology, Regional Center of Pharmacovigilance, Cochin Hospital, AP-HP Centre-Paris Cité University, Paris, France
| |
Collapse
|
4
|
Mead L, Ayres A, Blake JA, Scott JG. Monitoring of metabolic side-effects in children and adolescents prescribed antipsychotic medication: A systematic review. Aust N Z J Psychiatry 2021; 55:763-771. [PMID: 33951933 DOI: 10.1177/00048674211009620] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVES Prescribing antipsychotic medications to children and adolescents with severe mental and developmental disorders is common; however, there is a lack of consensus on appropriate metabolic monitoring for this population. This review systematically evaluates studies examining metabolic monitoring of children and adolescents prescribed antipsychotic medication to understand the clinical practice of metabolic monitoring and identify opportunities to improve the safety of antipsychotic prescribing in this population. METHODS A systematic search for original research on metabolic monitoring in children and adolescents prescribed antipsychotics was conducted in six databases (PubMed, EMBASE, PsycINFO, The Cochrane Library [Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, CENTRAL], Cochrane Methodology Register and Web of Science [Science and Social Science Citation Index]) from inception to February 2020 following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Studies were assessed for quality and findings summarised using narrative synthesis. RESULTS Fifteen papers were identified. Studies agreed on the need for metabolic monitoring; however, there was a gap between guideline-recommended practice and clinical practice. Variable rates of baseline and subsequent monitoring were reported for both physical and biochemical parameters, with particularly low rates for monitoring requiring venesection. Younger age was also associated with lower monitoring rates. Implementation of quality improvement activities (new guidelines, staff education and checklists) improved monitoring rates although the measurement of biochemical parameters still occurred in only a minority of children. CONCLUSION Despite widespread awareness and concern regarding metabolic side-effects, monitoring occurred inconsistently and infrequently, particularly for biochemical parameters requiring venesection. Monitoring of anthropometric measures (weight, body mass index and waist circumference) with escalation to more laboratory testing where metabolic concerns are identified may improve monitoring. Minimising iatrogenic harm, through reduced antipsychotic prescription where possible, is a clinical priority in this population.
Collapse
Affiliation(s)
- Laura Mead
- Metro North Mental Health, Royal Brisbane and Women's Hospital, Herston, QLD, Australia.,Children's Health Queensland Hospital and Health Service, South Brisbane, QLD, Australia
| | - Alice Ayres
- Children's Health Queensland Hospital and Health Service, South Brisbane, QLD, Australia
| | - Julie A Blake
- Metro North Mental Health, Royal Brisbane and Women's Hospital, Herston, QLD, Australia.,QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
| | - James G Scott
- Metro North Mental Health, Royal Brisbane and Women's Hospital, Herston, QLD, Australia.,QIMR Berghofer Medical Research Institute, Herston, QLD, Australia.,Queensland Centre for Mental Health Research, Wacol, QLD, Australia
| |
Collapse
|