Department of Pediatrics, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
HUINNO AIM Co., Ltd., Seoul, Republic of Korea.
Sci Rep. 2024 Sep 29;14(1):22542. doi: 10.1038/s41598-024-73148-7.
Accurate assessment of pediatric vital signs is critical for detecting abnormalities and guiding medical interventions, but interpretation is challenging due to age-dependent physiological variations. Therefore, this study aimed to develop age-specific centile curves for blood pressure, heart rate, and respiratory rate in pediatric patients and create a user-friendly web-based application for easy access to these data. We conducted a retrospective cross-sectional observational study analyzing 3,779,482 records from the National Emergency Department Information System of Korea, focusing on patients under 15 years old admitted between January 2016 and December 2017. After applying exclusion criteria to minimize the impact of patients' symptoms on vital signs, 1,369,608 records were used for final analysis. The box-cox power exponential distribution and Lambda-Mu-Sigma (LMS) method were used to generate blood pressure centile charts, while heart rate and respiratory rate values were drawn from previously collected LMS values. We developed comprehensive age-specific centile curves for systolic, diastolic, and mean blood pressure, heart rate, and respiratory rate. These were integrated into a web-based application ( http://centile.research.or.kr ), allowing users to input patient data and promptly obtain centile and z-score information for vital signs. Our study provides an accessible system for pediatric vital sign evaluation, addressing previous limitations and offering a practical solution for clinical assessment. Future research should validate these centile curves in diverse populations.
准确评估儿科生命体征对于发现异常和指导医疗干预至关重要，但由于年龄相关的生理变化，解读具有挑战性。因此，本研究旨在为儿科患者制定血压、心率和呼吸率的特定年龄百分位曲线，并创建一个用户友好的基于网络的应用程序，方便获取这些数据。我们进行了一项回顾性横断面观察性研究，分析了韩国国家急诊部信息系统 2016 年 1 月至 2017 年 12 月期间的 3779482 份记录，重点关注 15 岁以下入院患者。在应用排除标准最大程度减少患者症状对生命体征的影响后，最终有 1369608 份记录用于分析。使用 Box-Cox 幂指数分布和 Lambda-Mu-Sigma (LMS) 方法生成血压百分位图表，而心率和呼吸率值则来自先前收集的 LMS 值。我们为收缩压、舒张压和平均血压、心率和呼吸率制定了全面的特定年龄百分位曲线。这些曲线整合到一个基于网络的应用程序（http://centile.research.or.kr）中，用户可以输入患者数据并立即获得生命体征的百分位和 z 分数信息。我们的研究提供了一个易于使用的系统来评估儿科生命体征，解决了以前的局限性，并为临床评估提供了一个实用的解决方案。未来的研究应该在不同人群中验证这些百分位曲线。
