Anthropometric Measurement of Patients Admitted to an Intensive Care UnitWai Keung Cheung*, Ying Chu Choi, lai Sheung Chau and Ion Ieng Laurinda Mak
Department of Nursing Practice, School of Nursing, University of Hong Kong, Hong Kong
- Corresponding Author:
- Wai Keung Cheung
RN, MN, MSc App. Epi., MSc Public Health
Assistant Professor, Department of Nursing Practice
School of Nursing, The University of Hong Kong, Hong Kong
Tel: +852 98698701
Fax: +852 2872 6079
E-mail: [email protected]
Received: March 14, 2016 Accepted: April 05, 2016 Published: April 12, 2016
Citation: Cheung WK, Choi YC, Chau IS, Mak IIL (2016) Anthropometric Measurement of Patients Admitted to an Intensive Care Unit. J Perioper Crit Intensive Care Nurs 2:113. doi:10.4172/2471-9870.1000113
Copyright: © 2016 Cheung WK, 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.
Background: Visual estimation is the usual method that many healthcare professional use to estimate the body weight of patients in the Intensive Care Unit (ICU), but this method has been shown to be significantly inaccurate. This study aimed to explores the feasibility of using fibula length to estimate the acute body weight of patients admitted to an ICU. Methods: The study collected all ICU records in which patient’s body weight was estimated by the equation: Males: 153.1 – (0.26 x age) – 11 + (1.05 x fibular length) Females: 153.1 – (0.26 x age) – 22 + (1.05 x fibular length). The body weight(BW) then estimated by: BW=20 x [estimated body height (in metres)]2. The degree of agreement between the estimated body weight by anthropometric measurement methods and the actual recorded body weight in the patient’s medical record within the four weeks immediately before ICU admission were assessed by the Bland-Altman plot. Results: Paired sample t-tests showed there were statistically significant differences between the patient’s estimated and actual height and weight (p-value=0.0001 for both). Conclusions: The study found the use of fibula length alone had a similar percentage of bias when compared with visual estimation by healthcare professionals to estimate the actual body weight of the patients admitted to ICU.