Abstract：
UNASSIGNED: Determining the exact weight of children is a challenging task during emergency situations. Current guidelines recommend the use of length-based weight-estimating tapes. However, healthcare providers must either always carry the tapes or take time to locate them. Moreover, they may not know how to use them. To address these issues, we developed an augmented reality smartphone application for length-based weight estimation called the Paediatric Augmented Reality Scale (PARS). We evaluated its performance and compared it to that of the Broselow tape (BT) and Paediatric Advanced Weight Prediction in the Emergency Room extra-long and extra-large (PAWPER-XL) tape methods.
UNASSIGNED: A prospective, single-blinded cross-sectional study was conducted with children aged 1 month to 12 years who visited the emergency department of the tertiary university hospital in Bucheon, South Korea between July 2021 and February 2022. This study aimed to evaluate the measurement agreement and performance of 3 methods: BT, PAWPER-XL and PARS.
UNASSIGNED: In all, 1090 participants were enrolled, and 639 (58.6%) were male. The mean age of the participants was 4.1 ± 2.8 years, with a mean height of 102.7 ± 21.7 cm and mean weight of 18.8 ± 9.5 kg. Compared to BT and PAWPER-XL, PARS exhibited lower mean absolute percentage error (9.60%) and root mean square percentage error (3.02%). PARS achieved a higher proportion of weights estimated within 10% of the actual weight (63.21%), outperform-ing BT (57.25%) and PAWPER-XL (62.47%). The intraclass correlation coefficients for the actual and estimated weights of BT, PAWPER-XL and PARS were 0.952, 0.969 and 0.973, respectively (P<0.001).
UNASSIGNED: PARS exhibited a modestly better performance than BT and PAWPER-XL in estimating body weight. PARS-estimated body weights correlated fairly accurately with the actual body weights. PARS holds potential utility in paediatric emergencies.
UNASSIGNED: A prospective, single-blinded cross-sectional study was conducted with children aged 1 month to 12 years who visited the emergency department of the tertiary university hospital in Bucheon, South Korea between July 2021 and February 2022. This study aimed to evaluate the measurement agreement and performance of 3 methods: BT, PAWPER-XL and PARS.
UNASSIGNED: In all, 1090 participants were enrolled, and 639 (58.6%) were male. The mean age of the participants was 4.1 ± 2.8 years, with a mean height of 102.7 ± 21.7 cm and mean weight of 18.8 ± 9.5 kg. Compared to BT and PAWPER-XL, PARS exhibited lower mean absolute percentage error (9.60%) and root mean square percentage error (3.02%). PARS achieved a higher proportion of weights estimated within 10% of the actual weight (63.21%), outperform-ing BT (57.25%) and PAWPER-XL (62.47%). The intraclass correlation coefficients for the actual and estimated weights of BT, PAWPER-XL and PARS were 0.952, 0.969 and 0.973, respectively (P<0.001).
UNASSIGNED: PARS exhibited a modestly better performance than BT and PAWPER-XL in estimating body weight. PARS-estimated body weights correlated fairly accurately with the actual body weights. PARS holds potential utility in paediatric emergencies.
摘要：
■在紧急情况下，确定儿童的确切体重是一项具有挑战性的任务。当前指南建议使用基于长度的重量估算带。然而,医疗保健提供者必须始终携带磁带或花时间找到它们。此外，他们可能不知道如何使用它们。为了解决这些问题,我们开发了一种用于基于长度的体重估计的增强现实智能手机应用程序，称为儿科增强现实量表（PARS）。我们评估了其性能，并将其与急诊室超长和超大（PAWPER-XL）胶带方法中的Broselow胶带（BT）和儿科高级体重预测进行了比较。
■预期，单盲横断面研究是对1个月至12岁的儿童进行的，他们访问了富川第三大学医院的急诊科，韩国在2021年7月至2022年2月之间。本研究旨在评估3种方法的测量协议和性能：BT，PAWPER-XL和PARS。
■总之，1090名参与者报名参加，男性639人(58.6%)。参与者的平均年龄为4.1±2.8岁，平均身高102.7±21.7cm，平均体重18.8±9.5kg。与BT和PAWPER-XL相比，PARS表现出较低的平均绝对百分比误差（9.60％）和均方根百分比误差（3.02％）。PARS在实际重量的10％（63.21％）内估计获得了更高的重量比例，跑赢英国电信（57.25%）和PAWPER-XL（62.47%）。BT的实际权重和估计权重的组内相关系数，PAWPER-XL和PARS分别为0.952、0.969和0.973(P<0.001)。
■PARS在估计体重方面表现出比BT和PAWPER-XL适度更好的表现。PARS估计的体重与实际体重相当准确地相关。PARS在儿科紧急情况中具有潜在的效用。
■预期，单盲横断面研究是对1个月至12岁的儿童进行的，他们访问了富川第三大学医院的急诊科，韩国在2021年7月至2022年2月之间。本研究旨在评估3种方法的测量协议和性能：BT，PAWPER-XL和PARS。
■总之，1090名参与者报名参加，男性639人(58.6%)。参与者的平均年龄为4.1±2.8岁，平均身高102.7±21.7cm，平均体重18.8±9.5kg。与BT和PAWPER-XL相比，PARS表现出较低的平均绝对百分比误差（9.60％）和均方根百分比误差（3.02％）。PARS在实际重量的10％（63.21％）内估计获得了更高的重量比例，跑赢英国电信（57.25%）和PAWPER-XL（62.47%）。BT的实际权重和估计权重的组内相关系数，PAWPER-XL和PARS分别为0.952、0.969和0.973(P<0.001)。
■PARS在估计体重方面表现出比BT和PAWPER-XL适度更好的表现。PARS估计的体重与实际体重相当准确地相关。PARS在儿科紧急情况中具有潜在的效用。
