Background: Polypharmacy has been reported to increase the risks for inappropriate prescribing, adverse drug reactions, geriatric syndromes, and morbidity and mortality in elderly populations in the United States and Europe. Data on prescribing patterns and polypharmacy in the elderly population in India are limited.
Objectives: The aims of this study were to assess prescribing patterns and to determine the predictors of high-level polypharmacy in the elderly population in 2 tertiary care hospitals in India.
Methods: This prospective surveillance study used medical records from patients aged 60 to 95 years admitted to the medicine wards of the 2 tertiary care hospitals between January 2008 and June 2009. Data on medication prescribing from admission through discharge were reviewed. Diseases were coded using the World Health Organization (WHO) International Classification of Diseases, 10th Revision, and medications were coded using the WHO Anatomical, Therapeutic, and Chemical classification. Concordance of prescribing with the indications in the product labeling as listed in the American Hospital Formulary Services Drug Information 2007 was determined. The prevalences of polypharmacy (5-9 medications) and high-level polypharmacy (>or=10 medications) were determined. Bivariate analysis and multivariate logistic regression analysis were used to determine the influential predictors of high-level polypharmacy during hospital stays.
Results: Data from 814 patients were included (493 [60.6%] men, 321 [39.4%] women; median age, 66 years [range, 60-95 years]). Systemic antibacterials were the most commonly prescribed therapeutic class of medications (574 [70.5%]), and pantoprazole was the most commonly prescribed medication (498 [61.2%]). The majority (7/10 [70.0%]) of the most commonly prescribed medications were prescribed as indicated. Medications prescribed "off-label" included pantoprazole (432/498 [86.7%]), ceftriaxone (212/259 [81.9%]), and atorvastatin (109/237 [46.0%]). Polypharmacy and high-level polypharmacy were prescribed in 366 (45.0%) and 370 (45.5%) patients, respectively. On multivariate logistic regression analysis, multiple (>or=3) diagnoses (odds ratio [OR] = 1.55; 95% CI, 1.16-2.08; P = 0.003), angina pectoris (OR = 2.58; 95% CI, 1.50-4.37; P < 0.001), and a length of stay >or=10 days (10-<15 days, OR = 3.14; 95% CI, 2.09-4.71; P < 0.001; and >or=15 days, OR = 5.74; 95% CI, 2.43-13.51; P < 0.001) were found to be predictors of high-level polypharmacy during hospital stays.
Conclusions: The campaign for rational drug use in hospitalized elderly patients in India should promote pantoprazole, ceftriaxone, and atorvastatin prescribing in concordance with their indications. Interventions to reduce the high-level polypharmacy in the elderly during their stays in tertiary care hospitals in India should focus on patients with >/=3 diagnoses, angina pectoris, and/or >or=10 days of hospital stay.
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http://dx.doi.org/10.1016/j.amjopharm.2010.06.004 | DOI Listing |
Arch Gerontol Geriatr
December 2024
Hospital of Chengdu University of Traditional Chinese Medicine, 610075, PR China. Electronic address:
Objective: To quantitatively synthesise evidence on the prevalence of and risk factors of frailty in older patients with coronary heart disease.
Methods: Nine electronic databases were searched from the inception to July 20th 2024. Random-effects model was performed to calculate to estimate the prevalence of frailty in older patients with coronary heart disease.
Int J Older People Nurs
January 2025
Department of Nursing Science and Midwifery, Centre for Research and Innovation in Care (CRIC), Nurse and Pharmaceutical Care (NuPhaC), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium.
Background: Age, polypharmacy and comorbidity are examples of known factors that increase the risk of adverse drug reactions in patients. The use of high-risk medication also entails a heightened risk of harm. There is currently no information available on the home care patients' experiences and medication burden experienced due to their high-risk medication use and how they manage their medication.
View Article and Find Full Text PDFAnn Pharmacother
October 2024
Hospital Universitario Virgen de Valme, Sevilla, Spain.
Background: The introduction of antiretroviral therapy (ARV) has significantly improved the survival of people living with HIV (PLWH), increasing the proportion of individuals over 50 years old. This aging trend poses challenges, such as the development of age-related comorbidities and a higher prevalence of polypharmacy. The pharmacotherapeutic complexity, assessed using the Medication Regimen Complexity Index (MRCI), is crucial for identifying and optimizing treatment, especially in elderly and polymedicated patients.
View Article and Find Full Text PDFInt J STD AIDS
December 2024
The Albion Centre, Surry Hills, NSW, Australia.
Background: Despite advances in the management and treatment of HIV, identifying risks for disengagement are essential to maximize positive outcomes. The current study investigated the validity of the Clinical Complexity Rating Scale for HIV (CCRS-HIV), a risk-prediction tool, by assessing agreement between patient and clinician scores of patient complexity.
Methods: 207 patients completed the patient version of the CCRS-HIV (CCRS-HIV), and six Attending Medical Officers (AMOs) caring for those individuals completed the original clinician version (CCRS-HIV).
Pharmaceuticals (Basel)
August 2024
Institute of Health and Nursing Science, Medical Faculty, Martin Luther University Halle-Wittenberg, 06112 Halle (Saale), Germany.
Despite reliable evidence of adverse drug effects, the substantially increased prescription rates of proton pump inhibitors (PPIs) remain at a high level. This study analyzed the appropriateness of PPI prescriptions among residents of nursing homes in three regions of Germany. Baseline data of a cluster-randomized controlled trial were used to determine the prevalence of PPI prescriptions, the validity of indications, and the adequacy of the prescribed dosages according to 1.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!