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Using skin for drug delivery and diagnosis in the critically ill

Overview of attention for article published in Advanced Drug Delivery Reviews, October 2014
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Title
Using skin for drug delivery and diagnosis in the critically ill
Published in
Advanced Drug Delivery Reviews, October 2014
DOI 10.1016/j.addr.2014.10.004
Pubmed ID
Authors

Xin Liu, Peter Kruger, Howard Maibach, Paul B. Colditz, Michael S. Roberts

Abstract

Skin offers easy access, convenience and non-invasiveness for drug delivery and diagnosis. In principle, these advantages of skin appear to be attractive for critically ill patients given potential difficulties that may be associated with oral and parenteral access in these patients. However, the profound changes in skin physiology that can be seen in these patients provide a challenge to reliably deliver drugs or provide diagnostic information. Drug delivery through skin may be used to manage burn injury, wounds, infection, trauma and the multisystem complications that rise from these conditions. Local anaesthetics and analgesics can be delivered through skin and may have wide application in critically ill patients. To ensure accurate information, diagnostic tools require validation in the critically ill patient population as information from other patient populations may not be applicable.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
India 2 1%
Australia 1 <1%
Unknown 155 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 23%
Student > Ph. D. Student 24 15%
Student > Bachelor 18 11%
Researcher 10 6%
Student > Doctoral Student 9 6%
Other 18 11%
Unknown 45 28%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 34 21%
Medicine and Dentistry 20 13%
Chemistry 11 7%
Engineering 9 6%
Agricultural and Biological Sciences 7 4%
Other 28 18%
Unknown 51 32%