| Title |
Individualized immunosuppression in transplant patients: potential role of pharmacogenetics
|
|---|---|
| Published in |
Pharmacogenomics and Personalized Medicine, June 2012
|
| DOI | 10.2147/pgpm.s21743 |
| Pubmed ID | |
| Authors |
Hamid Abboudi, Iain AM MacPhee |
| Abstract |
The immunosuppressive drugs used to prevent the rejection of transplanted organs have a narrow therapeutic index. Under treatment results in episodes of rejection leading to either damage or loss of the organ. Over immunosuppression increases the risk of infection and malignancy as well as drug specific complications including diabetes mellitus and nephrotoxicity. There is wide variation in the drug dose required to achieve target blood concentrations and there is often dissociation between pharmacokinetics and pharmacodynamics. Currently, immunosuppressive drug treatment is individualized based on a clinical assessment of the risk of rejection or toxicity. Therapeutic drug monitoring is routinely employed for several immunosuppressive drugs. Pharmacogenetics has the potential to complement therapeutic drug monitoring but clinical benefit has yet to be demonstrated. Novel biomarker-based approaches to risk stratification and pharmacodynamic monitoring are under development and are ready for clinical trials. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 2% |
| Unknown | 45 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 24% |
| Researcher | 6 | 13% |
| Student > Ph. D. Student | 6 | 13% |
| Student > Bachelor | 4 | 9% |
| Other | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 11 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 26% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 13% |
| Immunology and Microbiology | 5 | 11% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Agricultural and Biological Sciences | 3 | 7% |
| Other | 4 | 9% |
| Unknown | 12 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 18 June 2015.
All research outputs
#8,105,956
of 25,748,735 outputs
Outputs from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
Outputs of similar age
#54,959
of 179,824 outputs
Outputs of similar age from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 3.5. This one scored the same or higher as 0 of them.
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