Identifying Dynamic Patterns of Polypharmacy for Patients with Dementia from Primary Care Electronic Health Records: A Machine Learning Driven Longitudinal Study

被引:3
作者
Longo, Elisabetta [1 ]
Burnett, Bruce [2 ]
Bauermeister, Sarah [3 ]
Zhou, Shang-Ming [4 ]
机构
[1] Aptuit, Via Alessandro Fleming 4, I-37135 Verona, Italy
[2] Swansea Univ, Inst Life Sci, Sch Med, Swansea SA2 8PP, Wales
[3] Univ Oxford, Dementias Platform UK, Dept Psychiat, Oxford OX3 7JX, England
[4] Univ Plymouth, Fac Hlth, Plymouth PL4 8AA, England
基金
英国医学研究理事会;
关键词
dementia; polypharmacy; patient safety; diagnosis; electronic health records; machine learning; exploratory factor analysis; RISK-FACTORS; PEOPLE; ASSOCIATION; PREVALENCE; DISEASE; COHORT;
D O I
10.14336/AD.2022.0829
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
It is unclear how medication use evolved before diagnosis of dementia (DoD). This study aims to identify varied patterns of polypharmacy before DoD, their prevalence and possible complications. We collected primary care e-health records for 33,451 dementia patients in Wales from 1990 to 2015. The medication uses in every 5-year period along with 20-years prior to dementia diagnosis were considered. Exploratory factor analysis was used to identify clusters of medicines for every 5-year period. The prevalence of patients taking three or more medications was 82.16%, 69.7%, 41.1% and 5.5% in the Period 1 (0-5 years before DoD) similar to Period 4 (16-20 years before DoD) respectively. The Period 1 showed 3 clusters of polypharmacy - medicines for respiratory/urinary infections, arthropathies and rheumatism, and cardio-vascular disease (CVD) (66.55%); medicines for infections, arthropathies and rheumatism (AR), cardio-metabolic disease (CMD) and depression (22.02%); and medicines for arthropathies, rheumatism and osteoarthritis (2.6%). The Period 2 showed 4 clusters of polypharmacy - medicines for infections, arthropathies, and CVD (69.7%); medicines for CVD and depression (3%); medicines for CMD and arthropathies (0.3%); and medicines for AR, and CVD (2,5%). The Period 3 showed 6 clusters of polypharmacy - medicines for infections, arthropathies, and CVD (41.1%); medicines for CVD, acute-respiratory-infection (ARI), and arthropathies (1.25%); medicines for AR (1.16%); medicines for depression, anxiety (0.06%); medicines for CMD (1.4%); and medicines for dermatologic disorders (0.9%). The Period 4 showed 3 main clusters of polypharmacy - medicines for infections, arthropathy, and CVD (5.5%); medicines for anxiety, ARI (2.4%); and medicines for ARI and CVD (2.1%). As the development towards dementia progressed, the associative diseases tended to cluster with a larger prevalence in each cluster. Farther away before DoD, the clusters of polypharmacy tended to be clearly distinct between each other, resulting in an increasing number of patterns, but in a smaller prevalence.
引用
收藏
页码:548 / 559
页数:12
相关论文
共 57 条
[11]  
Duerden M., 2013, POLYPHARMACY MED OPT
[12]   The investigation of personality structure: Statistical models [J].
Finch, JF ;
West, SG .
JOURNAL OF RESEARCH IN PERSONALITY, 1997, 31 (04) :439-485
[13]   Using Fit Statistic Differences to Determine the Optimal Number of Factors to Retain in an Exploratory Factor Analysis [J].
Finch, W. Holmes .
EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 2020, 80 (02) :217-241
[14]   The SAIL Databank: building a national architecture for e-health research and evaluation [J].
Ford, David V. ;
Jones, Kerina H. ;
Verplancke, Jean-Philippe ;
Lyons, Ronan A. ;
John, Gareth ;
Brown, Ginevra ;
Brooks, Caroline J. ;
Thompson, Simon ;
Bodger, Owen ;
Couch, Tony ;
Leake, Ken .
BMC HEALTH SERVICES RESEARCH, 2009, 9
[15]   Risk factors for hospital readmission of elderly patients [J].
Franchi, Carlotta ;
Nobili, Alessandro ;
Mari, Daniela ;
Tettamanti, Mauro ;
Djade, Codjo D. ;
Pasina, Luca ;
Salerno, Francesco ;
Corrao, Salvatore ;
Marengoni, Alessandra ;
Iorio, Alfonso ;
Marcucci, Maura ;
Mannucci, Pier Mannuccio .
EUROPEAN JOURNAL OF INTERNAL MEDICINE, 2013, 24 (01) :45-51
[16]   Hypertensive eye disease: a review [J].
Fraser-Bell, Samantha ;
Symes, Richard ;
Vaze, Anagha .
CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY, 2017, 45 (01) :45-53
[17]   The Link between Thyroid Function and Depression [J].
Hage, Mirella P. ;
Azar, Sami T. .
JOURNAL OF THYROID RESEARCH, 2012, 2012
[18]   Impact of geriatric comorbidity and polypharmacy on cholinesterase inhibitors prescribing in dementia [J].
Hoffmann, Falk ;
van den Bussche, Hendrik ;
Wiese, Birgitt ;
Schoen, Gerhard ;
Koller, Daniela ;
Eisele, Marion ;
Glaeske, Gerd ;
Scherer, Martin ;
Kaduszkiewicz, Hanna .
BMC PSYCHIATRY, 2011, 11
[19]   Identifying potentially inappropriate prescribing in older people with dementia: a systematic review [J].
Hukins, Deborah ;
Macleod, Una ;
Boland, Jason W. .
EUROPEAN JOURNAL OF CLINICAL PHARMACOLOGY, 2019, 75 (04) :467-481
[20]   Insomnia and hypertension: A systematic review [J].
Jarrin, Denise C. ;
Alvaro, Pasquale K. ;
Bouchard, Marc-Andre ;
Jarrin, Stephanie D. ;
Drake, Christopher L. ;
Morin, Charles M. .
SLEEP MEDICINE REVIEWS, 2018, 41 :3-38