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Kim TH, Lee K, Park S, Cho H, Park J, Jo H, Son Y, Kim S, Kang J, Smith L, Rahmati M, Fond G, Boyer L, Pizzol D, Lee H, Rhee SY, Hwang J, Sang H, Yon DK. Association between glucagon-like peptide-1 receptor agonists and risk of suicidality: A comprehensive analysis of the global pharmacovigilance database. Diabetes Obes Metab 2024; 26:5183-5191. [PMID: 39161072 DOI: 10.1111/dom.15864] [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: 05/28/2024] [Revised: 07/15/2024] [Accepted: 07/25/2024] [Indexed: 08/21/2024]
Abstract
AIM To evaluate the potential association between suicidality and glucagon-like peptide-1 receptor agonists (GLP-1RAs), as well as other medications used for obesity and diabetes, using comprehensive global data. MATERIALS AND METHODS This study utilized the World Health Organization's pharmacovigilance database, encompassing adverse drug reaction reports from 1967 to 2023, from 170 countries (total reports, N = 131 255 418). We present the reported odds ratios (RORs) with 95% confidence intervals (CIs) and information component (IC) with IC025 regarding the association between GLP-1RA use and suicidality. RESULTS Although reports of GLP-1RA-associated suicidality increased gradually from 2005 to 2023 (n = 332), no evidence of an association was observed (ROR 0.15 [95% CI 0.13 to 0.16]; IC -2.77 [IC025 -2.95]). The lack of evidence of an association persisted regardless of whether GLP-1RAs were used for diabetes treatment (ROR 0.13 [95% CI 0.11 to 0.14]; IC -2.95 [IC025 -3.14]) or obesity treatment (ROR 0.44 [95% CI 0.34 to 0.58]; IC -1.16 [IC025 -1.62]). However, an association was found between suicidality and other diabetes medications excluding GLP-1RAs (ROR 1.13 [95% CI 1.10 to 1.15]; IC 0.17 [IC025 0.13]). Similarly, the potential association with suicidality was observed in medications used to treat obesity excluding GLP-1RAs (ROR 1.08 [95% CI 1.01 to 1.14]; IC 0.10 [IC025 0.01]). CONCLUSIONS The suspected association between GLP-1RA use and suicidality, as raised by the European Medicines Agency, was not found in our global analysis. This indicates that the sporadic reports of GLP-1RA-associated suicidality are likely influenced by factors such as comorbidities present in the GLP-1RA user population.
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Affiliation(s)
- Tae Hyeon Kim
- Department of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
- Centre for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Centre, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Kyeongmin Lee
- Centre for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Centre, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Seoyoung Park
- Centre for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Centre, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Hanseul Cho
- Department of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
- Centre for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Centre, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Jaeyu Park
- Centre for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Centre, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Hyesu Jo
- Centre for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Centre, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Yejun Son
- Centre for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Centre, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Soeun Kim
- Centre for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Centre, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Jiseung Kang
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Department of Anaesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Lee Smith
- Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK
| | - Masoud Rahmati
- CEReSS-Health Service Research and Quality of Life Centre, Assistance Publique-Hôpitaux de Marseille, Aix-Marseille University, Marseille, France
- Department of Physical Education and Sport Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khoramabad, Iran
- Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-E-Asr University of Rafsanjan, Rafsanjan, Iran
| | - Guillaume Fond
- CEReSS-Health Service Research and Quality of Life Centre, Assistance Publique-Hôpitaux de Marseille, Aix-Marseille University, Marseille, France
| | - Laurent Boyer
- CEReSS-Health Service Research and Quality of Life Centre, Assistance Publique-Hôpitaux de Marseille, Aix-Marseille University, Marseille, France
| | - Damiano Pizzol
- Health Unit Eni, Maputo, Mozambique
- Health Unit, Eni, San Donato Milanese, Italy
| | - Hayeon Lee
- Centre for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Centre, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Sang Youl Rhee
- Department of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
- Centre for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Centre, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
- Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Endocrinology and Metabolism, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Jiyoung Hwang
- Centre for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Centre, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Hyunji Sang
- Centre for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Centre, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Endocrinology and Metabolism, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Dong Keon Yon
- Department of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
- Centre for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Centre, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
- Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Paediatrics, Kyung Hee University Medical Centre, Kyung Hee University College of Medicine, Seoul, South Korea
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2
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Lee K, Park J, Lee M, Lee H, Son Y, Kim H, Kang J, Choi Y, Rhee SY, Rahmati M, Koyanagi A, Smith L, López Sánchez GF, Dragioti E, Woo S, Yon DK. National trends in thyroid disease and COVID-19 pandemic-related factors, 1998-2021: A nationwide representative study in South Korea. Heliyon 2024; 10:e39401. [PMID: 39502207 PMCID: PMC11535971 DOI: 10.1016/j.heliyon.2024.e39401] [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: 03/15/2024] [Revised: 09/27/2024] [Accepted: 10/14/2024] [Indexed: 11/08/2024] Open
Abstract
Objective Although thyroid disease is a common condition, there is limited research examining the prevalence of thyroid disease over a long period of time, including both before and during the COVID-19 pandemic. Therefore, we aimed to investigate sociodemographic aspects that might be associated with thyroid disease and how its prevalence has varied during the pandemic. Methods We assessed the prevalence of thyroid disease among Korean adults by using data from the Korea National Health and Nutrition Examination Survey from 1998 to 2021. We evaluated weighted prevalence and β-coefficients with 95 % CI for factors such as age, sex, residential area, education level, household income, perceived stress level, weight change, occupation category, and body mass index groups. Results From 1998 to 2021, the prevalence of thyroid disease among 159,896 Korean adults (88,120 females [55.1 %]) aged 20 years and older exhibited an overall increasing trend. The weighted prevalence in the general population rose from 1.52 % (95 % CI, 1.41-1.64) in 1998-2005 to 3.84 % (3.30-4.39) in 2021, with a higher likelihood of thyroid disease exposure as age increased. In addition, females, individuals with lower education levels, those with high levels of perceived stress, those who gained weight, and those classified as overweight or obese emerged as vulnerable groups for thyroid disease. For the majority of subgroups, the change amid the effect of the pandemic on prevalence was minimal. However, the aged ≥60 years group showed a greater increase in prevalence during the pandemic than before the pandemic (βdiff: 0.52 [95 % CI, 0.37-0.68]). Conclusions A nationwide representative study in South Korea revealed an increasing trend in the prevalence of thyroid disease over 24 years, particularly among the older population. Despite the minimal variation during the pandemic, our findings emphasize the need for targeted thyroid disease policies and further research, especially for specific subgroups such as the older population.
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Affiliation(s)
- Kyeongmin Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Jaeyu Park
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Myeongcheol Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Hojae Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Yejun Son
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Hyejun Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Applied Information Engineering, Yonsei University, Seoul, South Korea
| | - Jiseung Kang
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Yujin Choi
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Korean Medicine, Kyung Hee University College of Korean Medicine, Seoul, South Korea
| | - Sang Youl Rhee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
- Department of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, South Korea
| | - Masoud Rahmati
- CEReSS-Health Service Research and Quality of Life Center, Assistance Publique-Hôpitaux de Marseille, Aix-Marseille University, Marseille, France
- Department of Physical Education and Sport Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khoramabad, Iran
- Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-E-Asr University of Rafsanjan, Rafsanjan, Iran
| | - Ai Koyanagi
- Research and Development Unit, Parc Sanitari Sant Joan de Déu, Barcelona, Spain
| | - Lee Smith
- Centre for Health, Performance, and Wellbeing, Anglia Ruskin University, Cambridge, UK
| | - Guillermo F. López Sánchez
- Division of Preventive Medicine and Public Health, Department of Public Health Sciences, School of Medicine, University of Murcia, Murcia, Spain
| | - Elena Dragioti
- Research Laboratory Psychology of Patients, Families, and Health Professionals, Department of Nursing, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Selin Woo
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Dong Keon Yon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
- Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
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3
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Lee H, Lee JH, Lee S, Lim JS, Kim HJ, Park J, Lee H, Fond G, Boyer L, Smith L, Rahmati M, Tully MA, Pizzol D, Oh H, Kang J, Yon DK. Comorbid health outcomes in patients with schizophrenia: an umbrella review of systematic reviews and meta-analyses. Mol Psychiatry 2024:10.1038/s41380-024-02792-2. [PMID: 39424931 DOI: 10.1038/s41380-024-02792-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Revised: 10/04/2024] [Accepted: 10/09/2024] [Indexed: 10/21/2024]
Abstract
There is no comprehensive umbrella review exploring the connection between schizophrenia and various health outcomes. Therefore, we aimed to systematically review existing meta-analyses about schizophrenia-associated comorbid health outcomes and validate the evidence levels. We performed an umbrella review of meta-analyses of observational studies to explore comorbid health outcomes in individuals with schizophrenia. Searches were conducted across PubMed/MEDLINE, EMBASE, ClinicalKey, and Google Scholar up to September 5, 2023, targeting meta-analyses of observational studies related to comorbid health outcomes in individuals with schizophrenia. We applied AMSTAR2 for data extraction and quality assessment, adhering to PRISMA guidelines. Evidence credibility was evaluated and categorized by evidence quality. Our protocol was registered with PROSPERO (CRD42024498833). Risk and protective factors were analyzed and presented through equivalent odds ratios (eRR). In this umbrella review, we analyzed 9 meta-analyses, including 88 original articles, covering 21 comorbid health outcomes with over 66 million participants across 19 countries. Patients with schizophrenia showed significant associations with multiple health outcomes, including asthma (eRR, 1.71 [95% CI, 1.05-2.78], class and quality of evidence [CE] = non-significant), chronic obstructive pulmonary disease (1.73 [1.25-2.37], CE = weak), pneumonia (2.63 [1.11-6.23], CE = weak), breast cancer of female patients (1.31 [1.04-1.65], CE = weak), cardiovascular disease (1.53 [1.12-2.11], CE = weak), stroke (1.71 [1.30-2.25], CE = weak), congestive heart failure (1.81 [1.21-2.69], CE = weak), sexual dysfunction (2.30 [1.75-3.04], CE = weak), fracture (1.63 [1.10-2.40], CE = weak), dementia (2.29 [1.19-4.39], CE = weak), and psoriasis (1.83 [1.18-2.83] CE = weak). Our study underscores the imperative for an integrated treatment approach to schizophrenia, highlighting its broad impact across respiratory, cardiovascular, sexual, neurological, and dermatological health domains. Given the predominantly non-significant to weak evidence levels, further studies are needed to reinforce our understanding.
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Affiliation(s)
- Hyeri Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Jun Hyuk Lee
- Health and Human Science, University of Southern California, Los Angeles, CA, USA
| | - Subin Lee
- Department of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Ji Soo Lim
- Department of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Hyeon Jin Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Jaeyu Park
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Hayeon Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Guillaume Fond
- CEReSS-Health Service Research and Quality of Life Center, Assistance Publique-Hopitaux de Marseille, Aix Marseille University, Marseille, France
| | - Laurent Boyer
- CEReSS-Health Service Research and Quality of Life Center, Assistance Publique-Hopitaux de Marseille, Aix Marseille University, Marseille, France
| | - Lee Smith
- Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK
| | - Masoud Rahmati
- CEReSS-Health Service Research and Quality of Life Center, Assistance Publique-Hopitaux de Marseille, Aix Marseille University, Marseille, France
- Department of Physical Education and Sport Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khoramabad, Iran
- Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-E-Asr University of Rafsanjan, Rafsanjan, Iran
| | - Mark A Tully
- School of Medicine, Ulster University, Londonderry, Northern Ireland, UK
| | - Damiano Pizzol
- Health Unit, Eni, San Donato Milanese, Italy
- Health Unit Eni, Maputo, Mozambique
| | - Hans Oh
- Suzanne Dworak Peck School of Social Work, University of Southern California, Los Angeles, CA, USA
| | - Jiseung Kang
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA.
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.
| | - Dong Keon Yon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea.
- Department of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
- Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
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4
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Kim S, Hwang J, Lee JH, Park J, Kim HJ, Son Y, Oh H, Smith L, Kang J, Fond G, Boyer L, Rahmati M, Tully MA, Pizzol D, Udeh R, Lee J, Lee H, Lee S, Yon DK. Psychosocial alterations during the COVID-19 pandemic and the global burden of anxiety and major depressive disorders in adolescents, 1990-2021: challenges in mental health amid socioeconomic disparities. World J Pediatr 2024; 20:1003-1016. [PMID: 39162949 DOI: 10.1007/s12519-024-00837-8] [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: 04/23/2024] [Accepted: 07/31/2024] [Indexed: 08/21/2024]
Abstract
BACKGROUND The coronavirus disease 2019 (COVID-19) pandemic, a global health crisis, profoundly impacted all aspects of daily life. Adolescence, a pivotal stage of psychological and social development, is heavily influenced by the psychosocial and socio-cultural context. Hence, it is imperative to thoroughly understand the psychosocial changes adolescents experienced during the pandemic and implement effective management initiatives. DATA SOURCES We examined the incidence rates of depressive and anxiety disorders among adolescents aged 10-19 years globally and regionally. We utilized data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 to compare pre-pandemic (2018-2019) and pandemic (2020-2021) periods. Our investigation covered 204 countries and territories across the six World Health Organization regions. We conducted a comprehensive literature search using databases including PubMed/MEDLINE, Scopus, and Google Scholar, employing search terms such as "psychosocial", "adolescent", "youth", "risk factors", "COVID-19 pandemic", "prevention", and "intervention". RESULTS During the pandemic, the mental health outcomes of adolescents deteriorated, particularly in terms of depressive and anxiety disorders. According to GBD 2021, the incidence rate of anxiety disorders increased from 720.26 [95% uncertainty intervals (UI) = 548.90-929.19] before the COVID-19 pandemic (2018-2019) to 880.87 per 100,000 people (95% UI = 670.43-1132.58) during the COVID-19 pandemic (2020-2021). Similarly, the incidence rate of major depressive disorder increased from 2333.91 (95% UI = 1626.92-3138.55) before the COVID-19 pandemic to 3030.49 per 100,000 people (95% UI = 2096.73-4077.73) during the COVID-19 pandemic. This worsening was notably pronounced in high-income countries (HICs). Rapid environmental changes, including heightened social anxiety, school closures, economic crises, and exacerbated racism, have been shown to adversely affect the mental well-being of adolescents. CONCLUSIONS The abrupt shift to remote learning and the absence of in-person social interactions heightened feelings of loneliness, anxiety, sadness, and stress among adolescents. This change magnified existing socioeconomic disparities, posing additional challenges. These complexities profoundly impact adolescents' well-being, especially vulnerable groups like those from HICs, females, and minorities. Acknowledging the underreporting bias in low- to middle-income countries highlights the importance of addressing these mental health alterations in assessments and interventions within these regions as well. Urgent interventions are crucial as the pandemic-induced mental stress may have lasting effects on adolescents' mental health.
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Affiliation(s)
- Soeun Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Jiyoung Hwang
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Jun Hyuk Lee
- Health and Human Science, University of Southern California, Los Angeles, CA, USA
| | - Jaeyu Park
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Hyeon Jin Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Yejun Son
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Hans Oh
- Suzanne Dworak Peck School of Social Work, University of Southern California, Los Angeles, CA, USA
| | - Lee Smith
- Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK
| | - Jiseung Kang
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Guillaume Fond
- Research Centre on Health Services and Quality of Life, Assistance Publique-Hopitaux de Marseille, Aix Marseille University, Marseille, France
| | - Laurent Boyer
- Research Centre on Health Services and Quality of Life, Assistance Publique-Hopitaux de Marseille, Aix Marseille University, Marseille, France
| | - Masoud Rahmati
- Research Centre on Health Services and Quality of Life, Assistance Publique-Hopitaux de Marseille, Aix Marseille University, Marseille, France
- Department of Physical Education and Sport Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khoramabad, Iran
- Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-E-Asr University of Rafsanjan, Rafsanjan, Iran
| | - Mark A Tully
- School of Medicine, Ulster University, Londonderry, Northern Ireland, UK
| | - Damiano Pizzol
- Health Unit Eni, Maputo, Mozambique
- Health Unit, Eni, San Donato Milanese, Italy
| | - Raphael Udeh
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Ultimo, Australia
| | - Jinseok Lee
- Department of Biomedical Engineering, Kyung Hee University College of Electronics and Information, Yongin, South Korea
| | - Hayeon Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Biomedical Engineering, Kyung Hee University College of Electronics and Information, Yongin, South Korea
| | - Sooji Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
- Department of Medicine, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, South Korea.
| | - Dong Keon Yon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
- Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea.
- Department of Medicine, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, South Korea.
- Department of Pediatrics, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, South Korea.
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5
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Asad M, Bonner-Reid FT, Aldoohan F, Marrelli LM, Ghanie N, Attia Hussein Mahmoud H, Venkatraj Srividya S, Devadas Gandhi P, Zehra M, Nazir Z. Reviewing the Impact of Maternal Opioid Use Disorder on Fetal Development and Long-Term Pediatric Health Outcomes. Cureus 2024; 16:e72192. [PMID: 39583351 PMCID: PMC11583522 DOI: 10.7759/cureus.72192] [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] [Accepted: 10/23/2024] [Indexed: 11/26/2024] Open
Abstract
Opioid use during pregnancy has emerged as a notable public health concern with far-reaching impacts on both maternal and child health. This review investigates the consequences of opioid use disorder (OUD) and maternal opioid use during pregnancy, focusing on fetal and pediatric outcomes and available treatment options. The study focuses on the rising prevalence of opioid use among pregnant women, with emphasis on the adverse effects on neonates, including neonatal abstinence syndrome (NAS), preterm birth, low birth weight, and long-term cognitive and behavioral deficits. Furthermore, it explores the neurological implications of opioid exposure on fetal brain development, emphasizing disrupted synaptic plasticity, oligodendrocyte differentiation, and myelination. Current treatment strategies such as opioid maintenance therapy (OMT) with methadone and buprenorphine are discussed, including their benefits in improving prenatal care adherence but also their associated risks, such as NAS and small birth weights. Maternal OUD underscores the need for a multidisciplinary approach to manage opioid dependence in pregnant women effectively and calls for more comprehensive research to address the long-term developmental impacts on children, as well as to explore more effective prevention and intervention strategies for maternal OUD.
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Affiliation(s)
- Manahil Asad
- Medicine and Surgery, Fauji Foundation Hospital-Foundation University Medical College (FUMC) Islamabad, Islamabad, PAK
| | - Felicia T Bonner-Reid
- Medicine and Surgery, University of Medical Sciences of Manzanillo (Celia Sánchez Manduley), Manzanillo, CUB
| | - Fawaz Aldoohan
- Family Medicine, American Academy of Research and Academics, Newark, USA
| | | | - Neisha Ghanie
- College of Medicine, American University of Antigua, Coolidge, ATG
| | | | | | - Preanka Devadas Gandhi
- Graduate Medical Education, Metropolitan University College of Medicine, St. John's, ATG
| | - Muneeza Zehra
- Internal Medicine, Karachi Medical and Dental College, Karachi, PAK
| | - Zahra Nazir
- Internal Medicine, Combined Military Hospital (CMH) Quetta, Quetta, PAK
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6
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Kang J, Lee H, Park J, Kim HJ, Kwon R, Kim S, Fond G, Boyer L, Rahmati M, Smith L, Nehs CJ, Son Y, Kim S, Lee H, Lee J, Kim MS, Kim T, Yon DK. Comorbid physical health outcomes in patients with bipolar disorder: An umbrella review of systematic reviews and meta-analyses. Asian J Psychiatr 2024; 99:104138. [PMID: 38991375 DOI: 10.1016/j.ajp.2024.104138] [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: 03/31/2024] [Revised: 05/06/2024] [Accepted: 06/14/2024] [Indexed: 07/13/2024]
Abstract
BACKGROUND Although several meta-analyses have examined the association between bipolar disorder (BD) and its comorbid health outcomes, this evidence has not been comprehensively assembled. OBJECTIVE We aimed to systematically review existing meta-analyses based on multiple physical outcomes and validate the evidence level by examining the existing certainty of evidence. METHODS We systematically searched databases, including PubMed/MEDLINE, Embase, Google Scholar, and CINAHL, for articles published up to July 2023. We included meta-analyses of cohort, case-control, and/or cross-sectional studies investigating any comorbid health outcomes in patients with BD. We conducted quality assessments of the included meta-analysis using AMSTAR2. The credibility of findings was categorized into five levels of class and quality of evidence (CE), including convincing, highly suggestive, suggestive, weak, or not significant. RESULTS We analyzed 12 meta-analyses, including 145 original articles, covering 14 unique health outcomes with over 60 million participants across 29 countries and five continents. Among 14 health outcomes, BD was significantly associated with eight comorbid health outcomes, including dementia (equivalent odds ratio [eOR], 2.96 [95 % confidence intervals {CI}, 1.69-5.17]; CE=suggestive), Parkinson's disease (3.35 [1.72-6.53]; CE=suggestive), asthma (1.86 [1.42-2.42]; CE=weak), toxoplasmosis (1.69 [1.21-2.37]; CE=weak), hypertension (1.28 [1.02-1.60]; CE=convincing), breast cancer (1.33 [1.15-1.55]; CE=weak), obesity (1.64 [1.30-1.99]; CE=suggestive), and type 2 diabetes mellitus (1.98 [1.55-2.52]; CE=weak). CONCLUSION Individuals with BD are predisposed to numerous comorbid physical conditions, though these links are supported by various evidence levels and necessitate further studies. It is imperative that physicians be aware of these potential comorbidities in patients with BD and take proactive measures to manage them.
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Affiliation(s)
- Jiseung Kang
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Hyeri Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Jaeyu Park
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Hyeon Jin Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Rosie Kwon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Sunyoung Kim
- Department of Family Medicine, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Guillaume Fond
- Research Centre on Health Services and Quality of Life, Assistance Publique-Hôpitaux de Marseille, Aix Marseille University, Marseille, France
| | - Laurent Boyer
- Research Centre on Health Services and Quality of Life, Assistance Publique-Hôpitaux de Marseille, Aix Marseille University, Marseille, France
| | - Masoud Rahmati
- Research Centre on Health Services and Quality of Life, Assistance Publique-Hôpitaux de Marseille, Aix Marseille University, Marseille, France; Department of Physical Education and Sport Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khoramabad, Iran; Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-E-Asr University of Rafsanjan, Rafsanjan, Iran
| | - Lee Smith
- Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK
| | - Christa J Nehs
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Yejun Son
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Soeun Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Hayeon Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Biomedical Engineering, Kyung Hee University, Yongin, South Korea
| | - Jinseok Lee
- Department of Biomedical Engineering, Kyung Hee University, Yongin, South Korea
| | - Min Seo Kim
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.
| | - Tae Kim
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, South Korea.
| | - Dong Keon Yon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Regulatory Science, Kyung Hee University, Seoul, South Korea; Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea; Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
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7
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Jeong J, Jo H, Son Y, Lee S, Lee K, Choi Y, Lee H, Kim S, Jacob L, Smith L, Lee JH, Rhee SY, Kim S, Kang J, Hwang J, Park J, Woo S, Yon DK. Association of Soda Drinks and Fast Food with Allergic Diseases in Korean Adolescents: A Nationwide Representative Study. Int Arch Allergy Immunol 2024; 185:1190-1206. [PMID: 38952107 PMCID: PMC11633872 DOI: 10.1159/000539518] [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: 04/03/2024] [Accepted: 05/22/2024] [Indexed: 07/03/2024] Open
Abstract
INTRODUCTION A high consumption of carbonated soft drinks (i.e., soda drinks) and fast food is potentially associated with the observed global rise in adolescent allergic diseases. Thus, our study aimed to examine the potential associations between the consumption of soda drinks and fast food and allergic conditions, identifying specific relationships across subgroups and each allergic condition (asthma, allergic rhinitis, and atopic dermatitis). METHODS This study uses large-scale data from the Korea Youth Risk Behavior Web-Based Survey (total n = 865,614). Soda drinks and fast food were defined by a self-reported questionnaire and allergic conditions by physician-diagnosed within 1 year. Multivariable logistic regression was used to analyze the weighted odds ratios (ORs), along with 95% confidence intervals (CIs), for allergic diseases associated with the intake of soda drinks and fast food. RESULTS Among 865,614 adolescents in grades 7-12 (male, 51.40%), patients with asthma, allergic rhinitis, and atopic dermatitis were 18,568 (2.15%), 153,536 (17.74%), and 59,014 (6.82%), respectively. Current asthma was associated with soda drinks (OR, 1.07; 95% CI, 1.03-1.12) and fast food consumption (1.25; 1.17-1.33). Interestingly, stronger associations were observed for female high schoolers, compared to male high schoolers and middle schoolers, in relation to the consumption of soda drinks (1.31; 1.19-1.44) and fast food (1.46; 1.26-1.69) with asthma. Current allergic rhinitis and atopic dermatitis had no significant association with fast food consumption and soda drinks. CONCLUSION This first large-scale study suggests that fast food and soda drinks consumption are potentially associated with current asthma, with stronger associations observed in females than males, underscoring the need for sex-specific allergy prevention programs.
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Affiliation(s)
- Jinyoung Jeong
- Department of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Hyesu Jo
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Yejun Son
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Sooji Lee
- Department of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Kyeongmin Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Yujin Choi
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Korean Medicine, Kyung Hee University College of Korean Medicine, Seoul, South Korea
| | - Hayeon Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Soeun Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Louis Jacob
- Research and Development Unit, Parc Sanitari Sant Joan de Déu, Barcelona, Spain
- Department of Physical Medicine and Rehabilitation, Lariboisière-Fernand Widal Hospital, AP-HP, Université Paris Cité, Paris, France
- Epidemiology of Ageing and Neurodegenerative Diseases (EpiAgeing), CRESS UMR1153, Inserm, Université Paris Cité, Paris, France
| | - Lee Smith
- Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK
| | - Jun Hyuk Lee
- Health and Human Science, University of Southern California, Los Angeles, CA, USA
| | - Sang Youl Rhee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Endocrinology and Metabolism, Kyung Hee University College of Medicine, Kyung Hee University School of Medicine, Seoul, South Korea
| | - Sunyoung Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Family Medicine, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Jiseung Kang
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Jiyoung Hwang
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Jaeyu Park
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Selin Woo
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Dong Keon Yon
- Department of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
- Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
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8
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Kattih M, Lee H, Jo H, Jeong J, Kim H, Park J, Yang H, Nguyen A, Kim HJ, Lee H, Kim M, Lee M, Kwon R, Kim S, Koyanagi A, Kim MS, Rahmati M, López Sánchez GF, Dragioti E, Kim JH, Woo S, Cho SH, Smith L, Yon DK. National prevalence of atopic dermatitis in Korean adolescents from 2009 to 2022. Sci Rep 2024; 14:12391. [PMID: 38811655 PMCID: PMC11137070 DOI: 10.1038/s41598-024-62475-4] [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: 11/15/2023] [Accepted: 05/17/2024] [Indexed: 05/31/2024] Open
Abstract
Previous studies have examined the prevalence of allergic diseases in adolescents 1-2 years after the emergence of the COVID-19 pandemic. However, more data is needed to understand the long-term impact of COVID-19 on allergic diseases. Thus, we aimed to examine the trend of the atopic dermatitis prevalence in Korean adolescents before and during the COVID-19 pandemic across 14 years. Additionally, we analyze the risk factors of atopic dermatitis (AD) based on the results. The Korean Disease Control and Prevention Agency conducted the Korea Youth Risk Behavior Web-based Survey from 2009 to 2022, from which the data for this study were obtained. Prevalence trends were compared across subgroups, and the β difference (βdiff) was calculated. We computed odds ratios to examine changes in the disease prevalence before and during the pandemic. This study included a total of 917,461 participants from 2009 to 2022. The prevalence of atopic dermatitis increased from 6.79% (95% CI 6.66-6.91) in 2009-2011 to 6.89% (95% CI 6.72-7.05) in 2018-2019, then decreased slightly to 5.82% (95% CI 5.60-6.04) in 2022. Across the 14 years, middle school student status, low parent's highest education level, low household income, non-alcohol consumption, non-smoker smoking status, no suicidal thoughts, and no suicide attempts were associated with increased risk of atopic dermatitis, while female sex, rural residence, high BMI, low school performance, low household income, and no feelings of sadness and despair was associated with a small increase. This study examined the prevalence of atopic dermatitis across an 18-year, and found that the prevalence increased in the pre-pandemic then decreased during the start of the pandemic and remained constant throughout the pandemic. This trend could be explained mainly by the large scale social and political changes that occurred during the COVID-19 pandemic.
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Affiliation(s)
- Mafaz Kattih
- Department of Medicine, University of South Florida Morsani College of Medicine, Tampa, FL, USA
| | - Hojae Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Hyesu Jo
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Jinyoung Jeong
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Hyejun Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Applied Information Engineering, Yonsei University, Seoul, South Korea
| | - Jaeyu Park
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Hwi Yang
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Ann Nguyen
- Department of Medicine, University of South Florida Morsani College of Medicine, Tampa, FL, USA
| | - Hyeon Jin Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Hyeri Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Minji Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Myeongcheol Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Rosie Kwon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Sunyoung Kim
- Department of Family Medicine, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Ai Koyanagi
- Research and Development Unit, Parc Sanitari Sant Joan de Deu, Barcelona, Spain
| | - Min Seo Kim
- Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Masoud Rahmati
- Health Service Research and Quality of Life Center (CEReSS), Assistance Publique-Hôpitaux de Marseille, Aix-Marseille Université, Marseille, France
- Department of Physical Education and Sport Sciences, Faculty of Literature and Human Sciences, Lorestan University, Khoramabad, Iran
- Department of Physical Education and Sport Sciences, Faculty of Literature and Humanities, Vali-E-Asr University of Rafsanjan, Rafsanjan, Iran
| | - Guillermo F López Sánchez
- Division of Preventive Medicine and Public Health, Department of Public Health Sciences, School of Medicine, University of Murcia, Murcia, Spain
| | - Elena Dragioti
- Department of Medical and Health Sciences, Pain and Rehabilitation Centre, Linköping University, Linköping, Sweden
- Research Laboratory Psychology of Patients, Families, and Health Professionals, Department of Nursing, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Ju Hee Kim
- Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, South Korea
| | - Selin Woo
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Seong H Cho
- Department of Medicine, University of South Florida Morsani College of Medicine, Tampa, FL, USA.
- Division of Allergy and Immunology, Department of Internal Medicine, USF Morsani College of Medicine, Tampa, FL, USA.
| | - Lee Smith
- Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, CB1 1PT, UK.
| | - Dong Keon Yon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea.
- Department of Medicine, Kyung Hee University College of Medicine, Seoul, South Korea.
- Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, South Korea.
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9
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Kim YJ, Lee H, Woo HG, Lee SW, Hong M, Jung EH, Yoo SH, Lee J, Yon DK, Kang B. Machine learning-based model to predict delirium in patients with advanced cancer treated with palliative care: a multicenter, patient-based registry cohort. Sci Rep 2024; 14:11503. [PMID: 38769382 PMCID: PMC11106243 DOI: 10.1038/s41598-024-61627-w] [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: 11/15/2023] [Accepted: 05/07/2024] [Indexed: 05/22/2024] Open
Abstract
This study aimed to present a new approach to predict to delirium admitted to the acute palliative care unit. To achieve this, this study employed machine learning model to predict delirium in patients in palliative care and identified the significant features that influenced the model. A multicenter, patient-based registry cohort study in South Korea between January 1, 2019, and December 31, 2020. Delirium was identified by reviewing the medical records based on the criteria of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. The study dataset included 165 patients with delirium among 2314 patients with advanced cancer admitted to the acute palliative care unit. Seven machine learning models, including extreme gradient boosting, adaptive boosting, gradient boosting, light gradient boosting, logistic regression, support vector machine, and random forest, were evaluated to predict delirium in patients with advanced cancer admitted to the acute palliative care unit. An ensemble approach was adopted to determine the optimal model. For k-fold cross-validation, the combination of extreme gradient boosting and random forest provided the best performance, achieving the following accuracy metrics: 68.83% sensitivity, 70.85% specificity, 69.84% balanced accuracy, and 74.55% area under the receiver operating characteristic curve. The performance of the isolated testing dataset was also validated, and the machine learning model was successfully deployed on a public website ( http://ai-wm.khu.ac.kr/Delirium/ ) to provide public access to delirium prediction results in patients with advanced cancer. Furthermore, using feature importance analysis, sex was determined to be the top contributor in predicting delirium, followed by a history of delirium, chemotherapy, smoking status, alcohol consumption, and living with family. Based on a large-scale, multicenter, patient-based registry cohort, a machine learning prediction model for delirium in patients with advanced cancer was developed in South Korea. We believe that this model will assist healthcare providers in treating patients with delirium and advanced cancer.
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Affiliation(s)
- Yu Jung Kim
- Division of Hematology and Medical Oncology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Hayeon Lee
- Department of Biomedical Engineering, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Yongin, 17104, South Korea
| | - Ho Geol Woo
- Department of Neurology, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Si Won Lee
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University Health System, Seoul, South Korea
- Palliative Cancer Center, Yonsei Cancer Center, Yonsei University Health System, Seoul, South Korea
| | - Moonki Hong
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University Health System, Seoul, South Korea
- Palliative Cancer Center, Yonsei Cancer Center, Yonsei University Health System, Seoul, South Korea
| | - Eun Hee Jung
- Division of Hematology and Medical Oncology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea
| | - Shin Hye Yoo
- Center for Palliative Care and Clinical Ethics, Seoul National University Hospital, Seoul, South Korea
| | - Jinseok Lee
- Department of Biomedical Engineering, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Yongin, 17104, South Korea.
| | - Dong Keon Yon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea.
- Department of Pediatrics, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, South Korea.
| | - Beodeul Kang
- Division of Medical Oncology, Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, 59 Yatap-ro, Bundang-gu, Seongnam, 13496, South Korea.
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10
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Kyung S, Son Y, Kim M, Kang J, Smith L, Lee H, Yon DK. Risks of alopecia areata in long COVID: Binational population-based cohort studies from South Korea and Japan. J Med Virol 2024; 96:e29668. [PMID: 38757870 DOI: 10.1002/jmv.29668] [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: 04/01/2024] [Revised: 04/30/2024] [Accepted: 05/05/2024] [Indexed: 05/18/2024]
Abstract
Previous studies have proposed alopecia areata (AA) as a potential outcome of COVID-19 infection among autoimmune diseases, yet the findings might be inconclusive and difficult to generalize due to limited sample sizes and evidence levels. Thus, we aimed to investigate in detail the long-term risk of AA following SARS-CoV-2 infection based on large, binational, general population-based cohort studies. Our study investigated the long-term AA risk after SARS-CoV-2 infection by analyzing bi-national, claim-based cohorts in South Korea and Japan: a Korean nationwide cohort (K-COV-N cohort; discovery cohort; total n = 10 027 506) and a Japanese claims-based cohort (JMDC cohort; validation cohort; total n = 12 218 680). AA was identified based on the international classification of diseases 10th revision code (L63) requiring at least three claims within 1 year. After exposure-driven propensity score matching, SARS-CoV-2 infection was associated with an increased risk of incident AA (aHR, 1.66; 95% CI, 1.38-1.99). This increased risk was observed and persisted for up to 6 months. A similar pattern was observed in the validation cohort. As modifiable factors, severe COVID-19 increased the risk of AA, whereas receiving two or more doses of the COVID-19 vaccine before infection decreased the risk of AA. Through a bi-national cohort study in South Korea and Japan, SARS-CoV-2 infection was associated with an elevated risk for incident AA in the aspect of long COVID.
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Affiliation(s)
- Seoyeon Kyung
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Yejun Son
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Minji Kim
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
| | - Jiseung Kang
- Harvard Medical School, Division of Sleep Medicine, Boston, Massachusetts, USA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Lee Smith
- Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK
| | - Hayeon Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Biomedical Engineering, Kyung Hee University, Yongin, South Korea
| | - Dong Keon Yon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, South Korea
- Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, South Korea
- Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, South Korea
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11
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Wen X, Brothers T, Ward KE, Kogut S. Reducing the risks of prenatal opioid exposure in children. BMJ 2024; 385:q803. [PMID: 38658037 DOI: 10.1136/bmj.q803] [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] [Indexed: 04/26/2024]
Affiliation(s)
- Xuerong Wen
- Pharmacy Practice and Clinical Research, College of Pharmacy, University of Rhode Island, Kingston, RI, USA
| | - Todd Brothers
- Pharmacy Practice and Clinical Research, College of Pharmacy, University of Rhode Island, Kingston, RI, USA
| | - Kristina E Ward
- Pharmacy Practice and Clinical Research, College of Pharmacy, University of Rhode Island, Kingston, RI, USA
| | - Stephen Kogut
- Pharmacy Practice and Clinical Research, College of Pharmacy, University of Rhode Island, Kingston, RI, USA
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