» Articles » PMID: 26749341

Exploring the Relationship Between Fall Risk-increasing Drugs and Fall-related Fractures

Overview
Publisher Springer
Specialties Pharmacology
Pharmacy
Date 2016 Jan 11
PMID 26749341
Citations 7
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Hospital admissions due to fall-related fractures are a major problem in the aging population. Several risk factors have been identified, including drug use. Most studies often retrieved prescription-only drugs from national databases. These are associated with some limitations as they do not always reliably reproduce the complete patient's active drug list.

Objective: To evaluate the association between the number of FRIDs intake identified by a standardised medication reconciliation process and a fall-related fracture leading to a hospital admission in older adults.

Setting: The first cohort has been recruited from one traumatology ward of a tertiary teaching hospital in Belgium and the second cohort has been recruited from 11 community pharmacies in Belgium.

Method: A prospective study with two individually matched cohorts was performed. Adult patients (≥75 years) admitted with an injury due to a fall were included in the first cohort (faller group). The second cohort consisted of patients who did not suffer from a fall within the last 6 months (non-faller group). Matching was performed for age, gender, place of residence and use of a walking aid. In both groups, clinical pharmacists and undergraduate pharmacy students obtained the medication history, using a standardised approach. A list of drugs considered to increase the risk of falling was created. It included cardiovascular drugs and drugs acting on the nervous system. A linear mixed model was used to compare the number of fall risk-increasing drugs between fallers and non-fallers.

Main Outcome Measure: The number of fall risk-increasing drugs in a faller versus a non-faller group.

Results: Sixty-one patients were matched with 121 non-fallers. Patients received on average 3.1 ± 2.1 and 3.2 ± 1.8 fall risk-increasing drugs in the faller and in the non-faller group, respectively. The mean number of fall risk-increasing drugs was comparable in both groups (p = 0.844), even after adjusting for alcohol consumption, fear of falling, vision and foot problems (p = 0.721).

Conclusion: In a sample of hospitalised patients admitted for a fall-related injury, no significant difference in the number of fall risk-increasing drugs versus that of an outpatient group of non-fallers was found.

Citing Articles

Effects of medication management in geriatric patients who have fallen: results of the EMMA mixed-methods study.

Clemens S, Iglseder B, Alzner R, Kogler M, Rose O, Kutschar P Age Ageing. 2024; 53(4).

PMID: 38619121 PMC: 11041409. DOI: 10.1093/ageing/afae070.


Development and validation of a machine learning-based fall-related injury risk prediction model using nationwide claims database in Korean community-dwelling older population.

Heo K, Seok J, Ah Y, Kim K, Lee S, Lee J BMC Geriatr. 2023; 23(1):830.

PMID: 38082380 PMC: 10712099. DOI: 10.1186/s12877-023-04523-8.


Medication Prescribed Within One Year Preceding Fall-Related Injuries in Ontario Older Adults.

Ming Y, Zecevic A, Booth R, Hunter S, Tirona R, Johnson A Can Geriatr J. 2022; 25(4):347-367.

PMID: 36505916 PMC: 9684022. DOI: 10.5770/cgj.25.569.


Correlation between fall risk increasing drugs (FRIDs) and fall events at a rehabilitation hospital.

Castaldi S, Principi N, Carnevali D, Tiwana N, Pietronigro A, Mosillo M Acta Biomed. 2022; 92(6):e2021397.

PMID: 35075080 PMC: 8823575. DOI: 10.23750/abm.v92i6.11340.


Development of an algorithm for assessing fall risk in a Japanese inpatient population.

Nakanishi T, Ikeda T, Nakamura T, Yamanouchi Y, Chikamoto A, Usuku K Sci Rep. 2021; 11(1):17993.

PMID: 34504235 PMC: 8429765. DOI: 10.1038/s41598-021-97483-1.


References
1.
Tinetti M, Han L, Lee D, McAvay G, Peduzzi P, Gross C . Antihypertensive medications and serious fall injuries in a nationally representative sample of older adults. JAMA Intern Med. 2014; 174(4):588-95. PMC: 4136657. DOI: 10.1001/jamainternmed.2013.14764. View

2.
Huang A, Mallet L, Rochefort C, Eguale T, Buckeridge D, Tamblyn R . Medication-related falls in the elderly: causative factors and preventive strategies. Drugs Aging. 2012; 29(5):359-76. DOI: 10.2165/11599460-000000000-00000. View

3.
Woolcott J, Richardson K, Wiens M, Patel B, Marin J, Khan K . Meta-analysis of the impact of 9 medication classes on falls in elderly persons. Arch Intern Med. 2009; 169(21):1952-60. DOI: 10.1001/archinternmed.2009.357. View

4.
Pohl P, Nordin E, Lundquist A, Bergstrom U, Lundin-Olsson L . Community-dwelling older people with an injurious fall are likely to sustain new injurious falls within 5 years--a prospective long-term follow-up study. BMC Geriatr. 2014; 14:120. PMC: 4242483. DOI: 10.1186/1471-2318-14-120. View

5.
Campbell A . Drug treatment as a cause of falls in old age. A review of the offending agents. Drugs Aging. 1991; 1(4):289-302. DOI: 10.2165/00002512-199101040-00005. View