alexa Is ASA Classification a Valid Prognosticator in Octogenarians? Probably not
ISSN: 2155-6148

Journal of Anesthesia & Clinical Research
Open Access

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Commentary

Is ASA Classification a Valid Prognosticator in Octogenarians? Probably not

Ognjen Visnjevac and Nader D Nader*

Department of Anesthesiology, University at Buffalo, Buffalo, NY, USA

*Corresponding Author:
Nader D Nader
Professor of Anesthesiology
University at Buffalo, 3495 Bailey Ave
Buffalo, NY 14215, VAMC, USA
Tel: (716) 862-8707
Fax: (716) 862-6723
E-mail: [email protected]

Received Date: August 21, 2013; Accepted Date: September 28, 2013; Published Date: September 30, 2013

Citation: Visnjevac O, Nader ND (2013) Is ASA Classification a Valid Prognosticator in Octogenarians? Probably not. J Anesth Clin Res 4:350. doi: 10.4172/2155-6148.1000350

Copyright: © 2013 Visnjevac O, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

Assessment of the state of health prior to surgery is the main responsibility of an anesthesiologist. The American Society of Anesthesiologists (ASA) has long adopted a grading system to classify the general health status of the patients preoperatively. Although the basis of this classification is very crude, it has been strongly associated with the outcome of the patients after surgery. However, as the population grows older, octogenarians are making a larger portion of our community. Majority of the patients in this age group suffer from chronic medical conditions and therefore, ASA classification categorizes them as ASA3 physical status. This classification significantly limits the ability to predict the clinical postoperative outcome in this growing group of population. This commentary is basically reviewing a need for additional tools or further modification of ASA classification that may help the anesthesia clinicians to identify the higher risk population.

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