Title |
Early identification of patients at risk of long-term critical illness-associated physical disability: is it possible?
|
---|---|
Published in |
Critical Care, November 2014
|
DOI | 10.1186/s13054-014-0629-3 |
Pubmed ID | |
Authors |
Evelyn J Corner, Stephen J Brett |
Abstract |
ICU-acquired weakness can hinder and determine the course of recovery from critical illness, leading to life-changing disability. Risk factors include multiorgan failure and prolonged bed rest; however, no prognostic model or screening tool for new-onset disability has been established to date. With no way of targeting the at-risk population, it is difficult to demonstrate the benefit of rehabilitation interventions in research and prioritize resources clinically. In a recent issue of Critical Care, Schandl and colleagues aimed to establish a predictive screening tool for new-onset disability using 23 possible predictors. They found that using the following risk factors - low educational level, fractures, reduced core stability and length of ICU stay over 2 days - they were able to develop a risk score predictive of disability at 2 months after hospital discharge. These investigators propose that this will help to identify patients requiring follow-up and may increase the power to detect change in interventional studies. Whilst this is promising work, further validation is essential: firstly, to make it a clinically workable tool in terms of appropriate 'cut offs'; secondly, to ensure that it is transferable in different socio-economic environments; and finally, to make sure that those identified as 'at risk' are those that would benefit the most from targeted intervention. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Russia | 1 | 3% |
Unknown | 34 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 20% |
Professor | 5 | 14% |
Researcher | 5 | 14% |
Student > Bachelor | 3 | 9% |
Student > Ph. D. Student | 3 | 9% |
Other | 5 | 14% |
Unknown | 7 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 15 | 43% |
Nursing and Health Professions | 5 | 14% |
Engineering | 2 | 6% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Other | 3 | 9% |
Unknown | 8 | 23% |