Prediction of Hospitalization due to Adverse Drug Reactions in Elderly Community-Dwelling Patients (The PADR-EC Score)
Publication Date
October 31, 2016
Journal
PLOS ONE
Authors
Nibu Parameswaran Nair, Leanne Chalmers, Michael Connolly, Bonnie J. Bereznicki, et al
Volume
11
Issue
10
Pages
e0165757
DOI
https://dx.plos.org/10.1371/journal.pone.0165757
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0165757
Scopus
84994588807
Mendeley
http://www.mendeley.com/research/prediction-hospitalization-due-adverse-drug-reactions-elderly-communitydwelling-patients-padrec-scor
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Mendeley | Further Information

{"title"=>"Prediction of hospitalization due to adverse drug reactions in elderly community-dwelling patients (The PADR-EC score)", "type"=>"journal", "authors"=>[{"first_name"=>"Nibu Parameswaran", "last_name"=>"Nair", "scopus_author_id"=>"57189267134"}, {"first_name"=>"Leanne", "last_name"=>"Chalmers", "scopus_author_id"=>"55932906100"}, {"first_name"=>"Michael", "last_name"=>"Connolly", "scopus_author_id"=>"57191905313"}, {"first_name"=>"Bonnie J.", "last_name"=>"Bereznicki", "scopus_author_id"=>"24484475600"}, {"first_name"=>"Gregory M.", "last_name"=>"Peterson", "scopus_author_id"=>"7402563175"}, {"first_name"=>"Colin", "last_name"=>"Curtain", "scopus_author_id"=>"37080499700"}, {"first_name"=>"Ronald L.", "last_name"=>"Castelino", "scopus_author_id"=>"26648006800"}, {"first_name"=>"Luke R.", "last_name"=>"Bereznicki", "scopus_author_id"=>"7801511233"}], "year"=>2016, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84994588807", "sgr"=>"84994588807", "doi"=>"10.1371/journal.pone.0165757", "pui"=>"612982536", "pmid"=>"27798708", "isbn"=>"1932-6203; 1932-6203", "issn"=>"19326203"}, "id"=>"a138d063-ee0b-32fa-89e5-56fcfc737fdf", "abstract"=>"BACKGROUND: Adverse drug reactions (ADRs) are the major cause of medication-related hospital admissions in older patients living in the community. This study aimed to develop and validate a score to predict ADR-related hospitalization in people aged ≥65 years.\\n\\nMETHODS: ADR-related hospitalization and its risk factors were determined using a prospective, cross-sectional study in patients aged ≥65 years admitted to two hospitals. A predictive model was developed in the derivation cohort (n = 768) and the model was applied in the validation cohort (n = 240). ADR-related hospital admission was determined through expert consensus from comprehensive reviews of medical records and patient interviews. The causality and preventability of the ADR were assessed based on the Naranjo algorithm and modified Schumock and Thornton criteria, respectively.\\n\\nRESULTS: In the derivation sample (mean [±SD] age, 80.1±7.7 years), 115 (15%) patients were admitted due to a definite or probable ADR; 92.2% of these admissions were deemed preventable. The number of antihypertensives was the strongest predictor of an ADR followed by presence of dementia, renal failure, drug changes in the preceding 3 months and use of anticholinergic medications; these variables were used to derive the ADR prediction score. The predictive ability of the score, assessed from calculation of the area under the receiver operator characteristic (ROC) curve, was 0.70 (95% confidence interval (CI) 0.65-0.75). In the validation sample (mean [±SD] age, 79.6±7.6 years), 30 (12.5%) patients' admissions were related to definite or probable ADRs; 80% of these admissions were deemed preventable. The area under the ROC curve in this sample was 0.67 (95% CI 0.56-0.78).\\n\\nCONCLUSIONS: This study proposes a practical and simple tool to identify elderly patients who are at an increased risk of preventable ADR-related hospital admission. Further refinement and testing of this tool is necessary to implement the score in clinical practice.", "link"=>"http://www.mendeley.com/research/prediction-hospitalization-due-adverse-drug-reactions-elderly-communitydwelling-patients-padrec-scor", "reader_count"=>38, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Professor > Associate Professor"=>1, "Librarian"=>4, "Student > Doctoral Student"=>4, "Researcher"=>4, "Student > Ph. D. Student"=>5, "Student > Postgraduate"=>3, "Student > Master"=>9, "Other"=>1, "Student > Bachelor"=>3, "Lecturer"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Professor > Associate Professor"=>1, "Librarian"=>4, "Student > Doctoral Student"=>4, "Researcher"=>4, "Student > Ph. D. Student"=>5, "Student > Postgraduate"=>3, "Student > Master"=>9, "Other"=>1, "Student > Bachelor"=>3, "Lecturer"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>5, "Nursing and Health Professions"=>3, "Biochemistry, Genetics and Molecular Biology"=>2, "Medicine and Dentistry"=>13, "Agricultural and Biological Sciences"=>1, "Pharmacology, Toxicology and Pharmaceutical Science"=>7, "Psychology"=>4, "Computer Science"=>2, "Decision Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>13}, "Decision Sciences"=>{"Decision Sciences"=>1}, "Psychology"=>{"Psychology"=>4}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>1}, "Computer Science"=>{"Computer Science"=>2}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>3}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>2}, "Unspecified"=>{"Unspecified"=>5}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>7}}, "group_count"=>3}

Scopus | Further Information

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