Kokong Daniel D, Pam Ishaya C, Zoakah Ayuba I, Danbauchi Solomon S, Mador Emmanuel S, Mandong Barnabas M
Department of ORL-Head and Neck Surgery (ORL-HNS), College of Medicine, University of Jos, Jos University Teaching Hospital, PMB 2076, Jos, Plateau State, Nigeria.
Department of Obstetrics and Gynaecology, College of Medicine, University of Jos, Jos University Teaching Hospital, Plateau state, Nigeria.
Int J Emerg Med. 2018 Nov 27;11(1):54. doi: 10.1186/s12245-018-0212-9.
In critical care situations, there are often neither the means nor the 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 and effectiveness in emergent interventions as none exists in adults while those available are complex and yet to be validated. We aimed to study the correlation and accuracy of a quick bedside method of weight estimation in adults using height.
The technique is estimated body weight-eBW(kg) = (N - 1)100, where 'N' is the measured height in metres. Adult undergraduates were enrolled 10/09/2015. Their heights and weights were measured while the formula was used to obtain the estimated weight. The SPSS version 21.0, Chicago, IL, USA was utilised for data analysis.
We analysed 122 participants aged 21-38 years with height = 1.55 m-1.95 m. The actual body weight range = 48.0 kg-91.0 kg, mean = 65.3 kg ± 9.7 kg and S.E. = 2.0 while eBW = 55 kg-95 kg, mean = 69.1 kg ± 8.4 kg and S.E. = 1.5. On BMI classes, a positive predictive value of 94.7% for the 'normal' category and 95.5% for 'overweight'. Correlation coefficient at 99% confidence interval yielded (r) = + 1, (P = 0.000) while the linear regression coefficient (r) = + 1 at 95% confidence interval (P = 0.000). The strength of agreement/precision was established by the Bland-Altman plot at 95% ± 2 s (P = 0.000) and kappa statistic with value = 0. 618.
This unprecedented statistical characterisation of the two weight estimate measures to have a good agreement scientifically proposes the utility of our method with the formula eBW(kg) = 100(N-1) in critical care and ATLS protocol.
在重症监护情况下，在使用严格基于体重的药物/程序之前，往往既没有办法也没有时间对每个患者进行称重。在这种情况下，一种方便、快速且准确的方法对于紧急干预的安全性和有效性至关重要，因为成人中不存在这样的方法，而现有的方法复杂且尚未得到验证。我们旨在研究一种使用身高快速估算成人体重的床边方法的相关性和准确性。
该技术估算体重-eBW（千克）=（N - 1）×100，其中“N”是以米为单位测量的身高。2015年9月10日招募了成年本科生。测量他们的身高和体重，同时使用该公式获得估算体重。使用美国伊利诺伊州芝加哥的SPSS 21.0版本进行数据分析。
我们分析了122名年龄在21 - 38岁之间、身高在1.55米至1.95米之间的参与者。实际体重范围为48.0千克至91.0千克，平均为65.3千克±9.7千克，标准误为2.0，而估算体重为55千克至95千克，平均为69.1千克±8.4千克，标准误为1.5。在体重指数类别方面，“正常”类别的阳性预测值为94.7%，“超重”类别的阳性预测值为95.5%。在99%置信区间的相关系数为（r）= +1，（P = 0.000），而在95%置信区间的线性回归系数（r）= +1（P = 0.000）。一致性/精密度的强度通过Bland-Altman图在95%±2标准差（P = 0.000）以及kappa统计量（值 = 0.618）确定。
这两种体重估算方法前所未有的统计特征表明它们具有良好的一致性，科学地提出了我们的公式eBW（千克）= 100（N - 1）在重症监护和高级创伤生命支持协议中的实用性。
