Estimation of weight in adults from height: a novel option for a quick bedside technique

作者: Daniel D Kokong , Ishaya C Pam , Ayuba I Zoakah , Solomon S Danbauchi , Emmanuel S Mador

DOI: 10.1186/S12245-018-0212-9

关键词:

摘要: In critical care situations, there are often neither the means nor time to weigh each patient before administering strict weight-based drugs/procedures. A convenient, quick and accurate method is a priority in such circumstances for safety effectiveness emergent interventions as none exists adults while those available complex yet be validated. We aimed study correlation accuracy of bedside weight estimation using height. The technique estimated body weight—eBW(kg) = (N − 1)100, where ‘N’ measured height metres. Adult undergraduates were enrolled 10/09/2015. Their heights weights formula was used obtain weight. SPSS version 21.0, Chicago, IL, USA utilised data analysis. analysed 122 participants aged 21–38 years with height = 1.55 m–1.95 m. actual range = 48.0 kg–91.0 kg, mean = 65.3 kg ± 9.7 kg S.E. = 2.0 eBW = 55 kg–95 kg, mean = 69.1 kg ± 8.4 kg S.E. = 1.5. On BMI classes, positive predictive value 94.7% ‘normal’ category 95.5% ‘overweight’. Correlation coefficient at 99% confidence interval yielded (r) = + 1, (P = 0.000) linear regression (r2) = + 1 95% (P = 0.000). strength agreement/precision established by Bland-Altman plot 95% ± 2 s kappa statistic value = 0. 618. This unprecedented statistical characterisation two estimate measures have good agreement scientifically proposes utility our eBW(kg) = 100(N−1) ATLS protocol.

参考文章(29)
Troyen A. Brennan, Lucian L. Leape, Nan M. Laird, Liesi Hebert, A. Russell Localio, Ann G. Lawthers, Joseph P. Newhouse, Paul C. Weiler, Howard H. Hiatt, Incidence of Adverse Events and Negligence in Hospitalized Patients New England Journal of Medicine. ,vol. 324, pp. 370- 376 ,(1991) , 10.1056/NEJM199102073240604
D. G Altman, J M. Bland, Diagnostic tests 2: Predictive values. BMJ. ,vol. 309, pp. 102- 102 ,(1994) , 10.1136/BMJ.309.6947.102
Davide Giavarina, Understanding Bland Altman analysis Biochemia Medica. ,vol. 25, pp. 141- 151 ,(2015) , 10.11613/BM.2015.015
Robert H. Fletcher, Suzanne W. Fletcher, Grant S. Fletcher, Clinical Epidemiology: The Essentials ,(1982)
Martina Udovicic, Ksenija Bazdaric, Lidija Bilic-Zulle, Mladen Petrovecki, What we need to know when calculating the coefficient of correlation Biochemia Medica. ,vol. 17, pp. 10- 15 ,(2007) , 10.11613/BM.2007.002
Rogier M. Determann, Esther K. Wolthuis, Peter E. Spronk, Michael A. Kuiper, Johanna C. Korevaar, Margreeth B. Vroom, Marcus J. Schultz, Reliability of height and weight estimates in patients acutely admitted to intensive care units. Critical Care Nurse. ,vol. 27, pp. 48- 55 ,(2007) , 10.4037/CCN2007.27.5.48
Katrin Aasvee, Mette Rasmussen, Colette Kelly, Elvira Kurvinen, Mariano Vincenzo Giacchi, Namanjeet Ahluwalia, Validity of self-reported height and weight for estimating prevalence of overweight among Estonian adolescents: the Health Behaviour in School-aged Children study. BMC Research Notes. ,vol. 8, pp. 606- 606 ,(2015) , 10.1186/S13104-015-1587-9
Brian W. Lin, Douglas Yoshida, James Quinn, Matthew Strehlow, A better way to estimate adult patients' weights. American Journal of Emergency Medicine. ,vol. 27, pp. 1060- 1064 ,(2009) , 10.1016/J.AJEM.2008.08.018
Roxanna Bloomfield, Elizabeth Steel, Graeme MacLennan, David W. Noble, Accuracy of weight and height estimation in an intensive care unit: Implications for clinical practice and research. Critical Care Medicine. ,vol. 34, pp. 2153- 2157 ,(2006) , 10.1097/01.CCM.0000229145.04482.93
J. Martin Bland, DouglasG. Altman, Statistical methods for assessing agreement between two methods of clinical measurement. The Lancet. ,vol. 327, pp. 307- 310 ,(1986) , 10.1016/S0140-6736(86)90837-8