| Title |
Falls: the adverse drug reaction of the elderly and the impact of pharmacogenetics
|
|---|---|
| Published in |
Pharmacogenomics, August 2017
|
| DOI | 10.2217/pgs-2017-0018 |
| Pubmed ID | |
| Authors |
Katja Susanne Just, Katharina Luise Schneider, Marlen Schurig, Julia Carolin Stingl, Jürgen Brockmöller |
| Abstract |
Falls is a frequent type of adverse drug reactions causing significant morbidity and mortality in the elderly. We reviewed, with which drugs the risk of falls is relevant and might depend on genomic variation. Pharmacogenetic variability may contribute to drug-induced falls for instance mediated by impaired drug elimination due to inherited deficiency in enzymes like CYP2C9, CYP2C19 and CYP2D6. The relative role of specific genes and polymorphisms in old age may differ from younger people. Biomarkers for frailty, but also genomic biomarkers might help identifying patients at high risk for drug-induced falls. Many other factors including disease and drug-drug interactions also contribute to risk of falls. Further studies analyzing the impact of genomic variation on the medication-related fall risk in the older adult are urgently needed. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 19% |
| Student > Master | 10 | 17% |
| Student > Bachelor | 6 | 10% |
| Other | 4 | 7% |
| Researcher | 4 | 7% |
| Other | 4 | 7% |
| Unknown | 20 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 25% |
| Nursing and Health Professions | 8 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 8 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Computer Science | 2 | 3% |
| Other | 4 | 7% |
| Unknown | 20 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 February 2018.
All research outputs
#20,660,571
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Outputs from Pharmacogenomics
#913
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Outputs of similar age
#253,202
of 327,293 outputs
Outputs of similar age from Pharmacogenomics
#15
of 17 outputs
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