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Ide N, Hosoya Y, Yamamoto M, Shigeno A, Obayashi M, Asada K, Matsushima S. Central Nervous System Adverse Reactions to Amantadine Intoxication: A Case Report and Analysis of JADER. In Vivo 2024; 38:2090-2096. [PMID: 38936887 PMCID: PMC11215589 DOI: 10.21873/invivo.13669] [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: 04/19/2024] [Revised: 05/18/2024] [Accepted: 05/20/2024] [Indexed: 06/29/2024]
Abstract
BACKGROUND/AIM A few case reports of central nervous system (CNS) symptoms caused by amantadine intoxication have been published, detailing various types of symptoms and differing times to onset. We encountered a patient who developed CNS symptoms with amantadine. This prompted us to investigate the types, time to onset, and outcome of CNS adverse reactions to amantadine by analyzing data from a pharmacovigilance database. PATIENTS AND METHODS The patient was evaluated at Chutoen General Hospital, Shizuoka, Japan. Analysis was performed using the Japanese Adverse Drug Event Report (JADER) database. RESULTS In our case, the amantadine blood concentration was 4,042 ng/ml, i.e., in the toxic range. The time to onset was 26 days for dyskinesia and 90 days for depressed level of consciousness. Symptoms resolved when amantadine was discontinued. The JADER database contained 974 cases of adverse reactions to amantadine. The most frequently reported CNS adverse reaction was hallucination, with a reporting odds ratio of 64.28 (95% confidence interval=52.67-78.46). Positive signals were detected for all CNS adverse reactions. For all CNS reactions, clinical outcomes were poor in a comparatively low percentage of cases. Most CNS reactions occurred soon after administration of amantadine, usually within approximately one month. CONCLUSION Because most CNS adverse reactions to amantadine usually occur within approximately one month of initiating treatment, healthcare providers should exercise heightened vigilance in monitoring patients for such reactions during this period.
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Affiliation(s)
- Naohito Ide
- Department of Practical Pharmacy, Nihon Pharmaceutical University, Saitama, Japan;
| | - Yui Hosoya
- Department of Practical Pharmacy, Nihon Pharmaceutical University, Saitama, Japan
| | - Mariko Yamamoto
- Department of Pharmacy, Chutoen General Medical Center, Shizuoka, Japan
| | - Ayami Shigeno
- Department of Trauma, Critical Care Medicine and Burn Center, Japan Community Health Care Organization Chukyo Hospital, Aichi, Japan
| | - Masakazu Obayashi
- Department of Emergency and Critical Care Medicine, Chutoen General Medical Center, Shizuoka, Japan
| | - Kei Asada
- Department of Emergency and Critical Care Medicine, Chutoen General Medical Center, Shizuoka, Japan
| | - Satoru Matsushima
- Department of Emergency and Critical Care Medicine, Chutoen General Medical Center, Shizuoka, Japan
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Schneeweiss MC, Mostaghimi A, Chiuve S, Schneeweiss S, Anand P, Schoder K, Oduol T, Huisingh C, Lin KJ. Validation of alopecia coding in US claims data among women of childbearing age. Pharmacoepidemiol Drug Saf 2024; 33:e5782. [PMID: 38566351 DOI: 10.1002/pds.5782] [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: 07/28/2023] [Revised: 02/26/2024] [Accepted: 03/12/2024] [Indexed: 04/04/2024]
Abstract
BACKGROUND Accurately identifying alopecia in claims data is important to study this rare medication side effect. OBJECTIVES To develop and validate a claims-based algorithm to identify alopecia in women of childbearing age. METHODS We linked electronic health records from a large healthcare system in Massachusetts (Mass General Brigham) with Medicaid claims data from 2016 through 2018 to identify all women aged 18 to 50 years with an ICD-10 code for alopecia, including alopecia areata, androgenic alopecia, non-scarring alopecia, or cicatricial alopecia, from a visit to the MGB system. Using eight predefined algorithms to identify alopecia in Medicaid claims data, we randomly selected 300 women for whom we reviewed their charts to validate the alopecia diagnosis. Positive predictive values (PPVs) were computed for the primary algorithm and seven algorithm variations, stratified by race. RESULTS Out of 300 patients with at least 1 ICD-10 code for alopecia in the Medicaid claims, 286 had chart-confirmed alopecia (PPV = 95.3%). The algorithm requiring two diagnosis codes plus one prescription claim for alopecia treatment identified 55 patients (PPV = 100%). The algorithm requiring 1 diagnosis code for alopecia plus 1 procedure claim for intralesional triamcinolone injection identified 35 patients (PPV = 100%). Across all 8 algorithms tested, the PPV varied between 95.3% and 100%. The PPV for alopecia ranged from 94% to 100% in White and 96%-100% in 48 non-White women. The exact date of alopecia onset was difficult to determine in charts. CONCLUSION At least one recorded ICD-10 code for alopecia in claims data identified alopecia in women of childbearing age with high accuracy.
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Affiliation(s)
- Maria C Schneeweiss
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Department of Dermatology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Arash Mostaghimi
- Harvard Medical School, Boston, Massachusetts, USA
- Department of Dermatology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | | | - Sebastian Schneeweiss
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Clinical Phenotyping and Outcome Validation Program, Mass General Brigham Center for Integrated Healthcare Data Research, Boston, Massachusetts, USA
| | - Priyanka Anand
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Katharina Schoder
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Theresa Oduol
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | | | - Kueiyu Joshua Lin
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Clinical Phenotyping and Outcome Validation Program, Mass General Brigham Center for Integrated Healthcare Data Research, Boston, Massachusetts, USA
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Tanaka H, Tani A, Onoda T, Ishii T. Hypoxia-inducible Factor Prolyl Hydroxylase Inhibitors and Hypothyroidism: An Analysis of the Japanese Pharmacovigilance Database. In Vivo 2024; 38:917-922. [PMID: 38418113 PMCID: PMC10905430 DOI: 10.21873/invivo.13519] [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: 11/22/2023] [Revised: 12/19/2023] [Accepted: 12/20/2023] [Indexed: 03/01/2024]
Abstract
BACKGROUND/AIM Hypothyroidism induced by roxadustat, a hypoxia-inducible factor prolyl hydroxylase (HIF-PH) inhibitor, was recently reported; however, information regarding roxadustat-associated hypothyroidism is still lacking. We explored the risk and time to onset of hypothyroidism associated with HIF-PH inhibitors using the Japanese Adverse Drug Event Report (JADER), a pharmacovigilance database. PATIENTS AND METHODS The participants of this study were registered in the JADER database between April 2004 and March 2023. The association between HIF-PH inhibitors and hypothyroidism was evaluated using the reporting odds ratio (ROR) and information component (IC). We also calculated the period from the start of drug administration to the onset of hypothyroidism and determined the onset pattern using Weibull distribution. RESULTS Roxadustat had positive signals for hypothyroidism among the HIF-PH inhibitors based on the ROR [31.03, 95% confidence interval (CI)=27.81-34.62] and IC (4.51, 95%CI=4.36-4.67) values, and a strong relationship was confirmed. In addition, the median time to roxadustat-associated hypothyroidism onset was 92 days, and over 50% of cases occurred within 100 days of starting treatment. Furthermore, the onset pattern was an early failure type. CONCLUSION There is a possible association between roxadustat and hypothyroidism. Therefore, enhanced thyroid function testing within 100 days of treatment initiation may help detect roxadustat-associated hypothyroidism. However, further research is required to confirm these findings, considering study limitations using databases of spontaneous adverse event reports.
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Affiliation(s)
- Hiroyuki Tanaka
- Department of Practical Pharmacy, Faculty of Pharmaceutical Sciences, Toho University, Funabashi, Japan
| | - Alicia Tani
- Department of Practical Pharmacy, Faculty of Pharmaceutical Sciences, Toho University, Funabashi, Japan
| | - Toshihisa Onoda
- Department of Practical Pharmacy, Faculty of Pharmaceutical Sciences, Toho University, Funabashi, Japan
| | - Toshihiro Ishii
- Department of Practical Pharmacy, Faculty of Pharmaceutical Sciences, Toho University, Funabashi, Japan
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Chrétien B, Sassier M, Alexandre J, Lelong-Boulouard V, Dolladille C, Fedrizzi S. Direct acting oral anticoagulants and alopecia: to go further with data mining in pharmacovigilance databases. Eur J Clin Pharmacol 2020; 76:1197-1198. [PMID: 32435997 DOI: 10.1007/s00228-020-02891-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 05/06/2020] [Indexed: 11/26/2022]
Affiliation(s)
- Basile Chrétien
- Department of Pharmacology, Caen University Hospital, Avenue de la Côte de Nacre, F-14000, Caen, France.
- Pharmacovigilance Regional Centre, Caen University Hospital, F-14000, Caen, France.
| | - Marion Sassier
- Department of Pharmacology, Caen University Hospital, Avenue de la Côte de Nacre, F-14000, Caen, France
- Pharmacovigilance Regional Centre, Caen University Hospital, F-14000, Caen, France
| | - Joachim Alexandre
- Department of Pharmacology, Caen University Hospital, Avenue de la Côte de Nacre, F-14000, Caen, France
- Pharmacovigilance Regional Centre, Caen University Hospital, F-14000, Caen, France
- Signalisation, électrophysiologie et imagerie des lésions díschémie-reperfusion myocardique, Normandie Univ, UNICAEN, EA4650, 14000, Caen, France
| | - Véronique Lelong-Boulouard
- Department of Pharmacology, Caen University Hospital, Avenue de la Côte de Nacre, F-14000, Caen, France
- COMETE-MOBILITES "Vieillissement, Pathologie, Santé", Normandie Univ, UNICAEN, UFR Santé, INSERM UMR 1075, 14000, Caen, France
| | - Charles Dolladille
- Department of Pharmacology, Caen University Hospital, Avenue de la Côte de Nacre, F-14000, Caen, France
- Signalisation, électrophysiologie et imagerie des lésions díschémie-reperfusion myocardique, Normandie Univ, UNICAEN, EA4650, 14000, Caen, France
| | - Sophie Fedrizzi
- Department of Pharmacology, Caen University Hospital, Avenue de la Côte de Nacre, F-14000, Caen, France
- Pharmacovigilance Regional Centre, Caen University Hospital, F-14000, Caen, France
- Signalisation, électrophysiologie et imagerie des lésions díschémie-reperfusion myocardique, Normandie Univ, UNICAEN, EA4650, 14000, Caen, France
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