Andrews Edward T, Ashton James J, Pearson Freya, Beattie R Mark, Johnson Mark J
Department of Neonatal Medicine, Princess Anne Hospital, University Hospital Southampton NHS Foundation Trust, UK.
Department of Paediatric Gastroenterology, Southampton Children's Hospital, UK; Human Genetics and Genomic Medicine, University of Southampton, UK.
Clin Nutr ESPEN. 2019 Oct;33:279-282. doi: 10.1016/j.clnesp.2019.06.012. Epub 2019 Jul 18.
Measurement of length and head circumference (HC) in addition to weight is vital in assessing the nutritional status of preterm infants. Current anthropometry represents an interruption to preterm infants, and may not be possible in unstable infants. Handheld 3D scanning has the potential to perform bedside anthropometry (length and HC) in a less invasive manner. We aimed to evaluate the feasibility and performance of 3D scanning as a 'non-touch' measuring technique for routine anthropometry.
Preterm infants born before 30 weeks gestation were recruited from a single neonatal unit. HC and length were measured both manually and by a handheld 3D scanner at recruitment and weekly until discharge. The two methods were compared using the Bland-Altman method and linear regression.
Seventeen infants had manual and 3D-scan measurements (67 HC, 87 length). The mean difference (95%CI) between manual and 3D-scan measures, as a percentage of the manual value, was 2.87% (2.27-3.47%) for HC and 3.10% (2.65-3.54%) for length. Correlation between manual and 3D measures was high; HC r = 0.957 and length 0.963. Bland-Altman plots showed reasonable agreement between the two methods, and there was a high correlation between scanner and manual measurements.
These data show a high correlation between measurements gathered from 3D scan images and standard anthropometry. However, 3D measures are not yet precise enough for routine clinical use. Refinement of technique/technology may translate into practical monitoring the growth of preterm infants with minimal handling and without interruption to developmental care.
除体重外,测量身长和头围(HC)对于评估早产儿的营养状况至关重要。目前的人体测量方法会干扰早产儿,对于不稳定的婴儿可能无法进行。手持式三维扫描有潜力以侵入性较小的方式在床边进行人体测量(身长和头围)。我们旨在评估三维扫描作为常规人体测量的“非接触式”测量技术的可行性和性能。
从一个新生儿病房招募妊娠30周前出生的早产儿。在招募时以及每周直至出院时,分别通过手动测量和手持式三维扫描仪测量头围和身长。使用Bland-Altman方法和线性回归对两种方法进行比较。
17名婴儿同时进行了手动测量和三维扫描测量(67次头围测量,87次身长测量)。手动测量和三维扫描测量之间的平均差异(95%CI),以手动测量值的百分比表示,头围为2.87%(2.27 - 3.47%),身长为3.10%(2.65 - 3.54%)。手动测量和三维测量之间的相关性很高;头围r = 0.957,身长r = 0.963。Bland-Altman图显示两种方法之间具有合理的一致性,并且扫描仪测量与手动测量之间具有高度相关性。
这些数据表明,从三维扫描图像获取的数据与标准人体测量之间具有高度相关性。然而,三维测量对于常规临床应用而言还不够精确。技术的改进可能会转化为以最小的操作并在不干扰发育护理的情况下对早产儿生长进行实际监测。