Accuracy of Weight and Height Estimation in an Intensive Care Unit

Author:

Maskin L. P.1,Attie S.1,Setten M.1,Rodriguez P. O.1,Bonelli I.1,Stryjewski M. E.12,Valentini R.13

Affiliation:

1. Intensive Care Unit, Centre for Medical Education and Clinical Investigation “Norberto Quirno”, Buenos Aires, Argentina

2. Staff, Department of Internal Medicine.

3. Chief, Intensive Care Unit.

Abstract

We report the findings from a prospective study determining the magnitude of errors in the visual estimation of weight and height of critically ill patients. Forty-two consecutive patients were weighed by a physician with a calibrated stretcher scale and length measured with a steel measuring tape. The predicted body weight was calculated using the ARDSnet formulae. Attending physicians and nurses were asked to estimate patient's actual weight, predicted weight and height. The average percent errors in estimation of actual and predicted weight were 11.4 and 14.6%, respectively. Errors greater than 20% in patient's actual and predicted weight were observed in 15 and 24% of cases, respectively. The majority of height estimations (86%) had an error <10%. There were non-significant differences between the estimations made by intensive care unit physicians and nurses. Our study shows that estimations of patient's weight made by intensive care unit staff are often inaccurate. In contrast, estimations of height made by intensive care unit staff are usually adequate. Estimated body weight of critically ill patients has implications for drug and respiratory therapy and should be used with caution.

Publisher

SAGE Publications

Subject

Anesthesiology and Pain Medicine,Critical Care and Intensive Care Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3