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Prevalence and nature of potential drug–drug interactions among kidney transplant patients in a German intensive care unit

Overview of attention for article published in International Journal of Clinical Pharmacy, August 2017
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
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Title
Prevalence and nature of potential drug–drug interactions among kidney transplant patients in a German intensive care unit
Published in
International Journal of Clinical Pharmacy, August 2017
DOI 10.1007/s11096-017-0525-4
Pubmed ID
Authors

Julia Amkreutz, Alexander Koch, Lukas Buendgens, Anja Muehlfeld, Christian Trautwein, Albrecht Eisert

Abstract

Background Complex polypharmacotherapy makes kidney transplant patients vulnerable to drug-drug interactions (DDIs). Objective To study prevalence and nature of potential DDIs (pDDIs) in kidney transplant patients. Setting Internal medicine ICU, University Hospital RWTH Aachen. Method In this retrospective observational study, pDDIs were identified in the first week after transplant from 1999 to 2010. Patients aged at least 18 years with prescription of at least two drugs were included. Patients with incomplete data were excluded. Data was originally obtained from medical charts. Two Clinical Decision Support Systems (CDSSs) in German language, mediQ and Meona, were used for pDDI identification and severity rating. Main outcome measure PDDIs in each severity level of the CDSSs/100 patient days. Results A total of 252 patients with 37,577 prescriptions were analysed. We found 99 pDDIs from severity levels major/contraindicated in Meona and 299 pDDIs from severity levels clinically relevant/strong in mediQ per 100 patient days. Most important potential consequences of pDDIs in respective severity levels were changes in immunosuppressant drug and potassium levels, nephrotoxicity and cardiac adverse events. Conclusion This study found a high prevalence of pDDIs in the first week after kidney transplant. Medication should be checked for pDDIs to prevent ADEs. It is strongly advisable to closely monitor patients within the first week after transplant for clinical and laboratory parameters and if necessary, change therapy. Physician education on the basis of study findings, DDI check with Clinical Physician Order Entry System/CDSSs and integration of a clinical pharmacist into the ward team should be targeted.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 19%
Student > Bachelor 6 11%
Student > Ph. D. Student 6 11%
Student > Doctoral Student 5 9%
Student > Postgraduate 4 8%
Other 9 17%
Unknown 13 25%
Readers by discipline Count As %
Medicine and Dentistry 15 28%
Pharmacology, Toxicology and Pharmaceutical Science 12 23%
Nursing and Health Professions 3 6%
Biochemistry, Genetics and Molecular Biology 2 4%
Psychology 2 4%
Other 5 9%
Unknown 14 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 30 August 2017.
All research outputs
#12,759,035
of 22,999,744 outputs
Outputs from International Journal of Clinical Pharmacy
#562
of 1,101 outputs
Outputs of similar age
#145,349
of 319,206 outputs
Outputs of similar age from International Journal of Clinical Pharmacy
#9
of 15 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,101 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 319,206 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.