Literature DB >> 22739715

Adverse drug reactions in elderly hospitalized patients: a 12-year population-based retrospective cohort study.

Khokan C Sikdar1, Jeffrey Dowden, Reza Alaghehbandan, Don MacDonald, Peizhong Peter, Veeresh Gadag.   

Abstract

BACKGROUND: Although research has identified some risk factors for first-time adverse drug reactions (ADRs), little is known about the risks associated with the number of ADRs. Modeling ADR counts is relatively complex because of the rarity of the events, requiring careful consideration of appropriate models that best present the observed data.
OBJECTIVE: To determine the incidence of ADRs among elderly hospitalized patients, assess patient-related risk factors for the number of ADRs, and review drug classes commonly responsible for ADRs.
METHODS: This retrospective cohort study used a population-based large administrative database on hospital separations from all acute care hospitals in the Canadian province of Newfoundland and Labrador. Patients aged 65 years or older with at least 1 hospital admission from April 1, 1995, to March 31, 2007, were included. Comorbidities, Charlson Comorbidity Index (CCI), and sociodemographic factors were assessed as predictors of ADR counts. A zero-inflated negative binomial regression model was used for analysis.
RESULTS: The study cohort contained 64,446 patients. The incidence of ADRs was 15.2 per 1000 person-years (95% CI 14.8 to 15.7). Of those having an ADR, 15.4% had recurrent ADRs. The most common drug category implicated in ADRs was cardiovascular agents (17.7%). A dose-response relationship was found between CCI and ADR counts (rate ratio [RR] 1.67, 95% CI 1.41 to 1.98 for CCI 2-3; RR 2.38, 95% CI 1.98 to 2.87 for CCI 4-5; and RR 3.83, 95% CI 3.21-4.57 for CCI ≥6). Comorbid conditions including congestive heart failure (RR 1.58, 95% CI 1.33 to 1.89), diabetes (RR 2.42, 95% CI 1.64 to 3.56), and cancer (RR 3.12, 95% CI 2.58 to 3.76) were strong predictors. Rural areas (RR 1.22, 95% CI 1.01 to 1.46) were associated with increased risk for ADRs, whereas age and sex had no effect.
CONCLUSIONS: Comorbidity from chronic diseases and severity of illness, rather than individual characteristics (advancing age and sex), increased the likelihood of ADRs. Changes in the delivery of care focusing on the monitoring of prescribed drugs in elderly patients with comorbidities could mitigate ADRs.

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Year:  2012        PMID: 22739715     DOI: 10.1345/aph.1Q529

Source DB:  PubMed          Journal:  Ann Pharmacother        ISSN: 1060-0280            Impact factor:   3.154


  19 in total

1.  Hospital re-admission associated with adverse drug reactions in patients over the age of 65 years.

Authors:  Laurent Hauviller; Frédéric Eyvrard; Valérie Garnault; Vanessa Rousseau; L Molinier; Jean Louis Montastruc; Haleh Bagheri
Journal:  Eur J Clin Pharmacol       Date:  2016-02-17       Impact factor: 2.953

2.  Factors associated with adverse drug reactions in older inpatients in teaching hospital.

Authors:  Tácita Pires de Figueiredo; Ronara Camila de Souza Groia; Soraya Coelho Costa Barroso; Mariana Martins Gonzaga do Nascimento; Adriano Max Moreira Reis
Journal:  Int J Clin Pharm       Date:  2017-05-02

Review 3.  Comparative epidemiology of hospital-acquired adverse drug reactions in adults and children and their impact on cost and hospital stay--a systematic review.

Authors:  Lateef Mohiuddin Khan
Journal:  Eur J Clin Pharmacol       Date:  2013-08-17       Impact factor: 2.953

4.  Propofol-associated QTc prolongation.

Authors:  Michael J Scalese; Holly R Herring; R Chris Rathbun; Grant H Skrepnek; Toni L Ripley
Journal:  Ther Adv Drug Saf       Date:  2016-04-01

5.  Cost-Effectiveness Analysis of a Physician-Implemented Medication Screening Tool in Older Hospitalised Patients in Ireland.

Authors:  Gary L O'Brien; Denis O'Mahony; Paddy Gillespie; Mark Mulcahy; Valerie Walshe; Marie N O'Connor; David O'Sullivan; James Gallagher; Stephen Byrne
Journal:  Drugs Aging       Date:  2018-08       Impact factor: 3.923

6.  Utility of a trigger tool (TRIGGER-CHRON) to detect adverse events associated with high-alert medications in patients with multimorbidity.

Authors:  Maria Jose Otero; María Dolores Toscano Guzmán; Mercedes Galván-Banqueri; Jesus Martinez-Sotelo; María Dolores Santos-Rubio
Journal:  Eur J Hosp Pharm       Date:  2020-05-08

7.  Clinical impact of pharmacogenetic profiling with a clinical decision support tool in polypharmacy home health patients: A prospective pilot randomized controlled trial.

Authors:  Lindsay S Elliott; John C Henderson; Moni B Neradilek; Nicolas A Moyer; Kristine C Ashcraft; Ranjit K Thirumaran
Journal:  PLoS One       Date:  2017-02-02       Impact factor: 3.240

8.  Drug-related emergency department visits by elderly patients presenting with non-specific complaints.

Authors:  Christian H Nickel; Juliane M Ruedinger; Anna S Messmer; Silke Maile; Arno Peng; Michael Bodmer; Reto W Kressig; Stephan Kraehenbuehl; Roland Bingisser
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2013-03-05       Impact factor: 2.953

9.  Drug utilization pattern and pharmacoeconomic analysis in geriatric medical in-patients of a tertiary care hospital of India.

Authors:  Binit N Jhaveri; Tejas K Patel; Manish J Barvaliya; C B Tripathi
Journal:  J Pharmacol Pharmacother       Date:  2014-01

Review 10.  A systematic review of the prevalence and risk factors for adverse drug reactions in the elderly in the acute care setting.

Authors:  Tariq M Alhawassi; Ines Krass; Beata V Bajorek; Lisa G Pont
Journal:  Clin Interv Aging       Date:  2014-12-01       Impact factor: 4.458

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