Programa de Pós-graduação em Ciências Fonoaudiológicas, Universidade Federal de Minas Gerais - UFMG - Belo Horizonte (MG), Brasil.
Departamento de Fonoaudiologia, Faculdade de Medicina, Universidade Federal de Minas Gerais - UFMG - Belo Horizonte (MG), Brasil.
Codas. 2024 May 31;36(4):e20230149. doi: 10.1590/2317-1782/20242023149pt. eCollection 2024.
To propose a methodology for analyzing data generated by an instrument measuring non-nutritive sucking pressure in newborns.
An analytical observational study was developed, with a cross-sectional design, considering the data collected from 24 full-term newborns without complications. Three collections from each neonate were analyzed, with duration of 2 minutes and a 2-minute interval between them. The defined parameters were extracted using a program developed in Matlab®. The results were obtained by analyzing and comparing 12 variables at a 5% confidence level. Comparison of manual and computerized analyzes was also carried out using the intraclass correlation coefficient.
The multiple comparison between the three collection moments showed that the significant statistical differences occurred between collections one and two and two and three. When analyzing and comparing each variable separately, it was noted that the second collection showed: greater number of sucking groups, greater number of suctions, less time to start the sucking groups, longer time of sucking groups, less number of sporadic suctions, higher mean pressure values and with less standard deviation, more number of pauses with shorter time of pauses. The intraclass correlation coefficient revealed almost perfect agreement for the 12 evaluated parameters.
The 12 variables analyzed are relevant, especially in the second collection. The Matlab® program proved to be viable and effective in extracting and analyzing parameters, showing high agreement when compared to manual evaluation.
提出一种分析用于测量新生儿非营养性吸吮压力仪器生成数据的方法。
进行了一项分析性观察研究,采用横截面设计,考虑了 24 名无并发症的足月新生儿的数据。对每个新生儿进行 3 次采集,每次采集持续 2 分钟,两次采集之间间隔 2 分钟。使用 Matlab® 中开发的程序提取定义的参数。通过在 5%置信水平下分析和比较 12 个变量来获得结果。还使用组内相关系数比较了手动和计算机分析。
三次采集时刻的多重比较表明,第一次和第二次采集以及第二次和第三次采集之间存在显著的统计学差异。当分别分析和比较每个变量时,注意到第二次采集显示:更多的吸吮组、更多的吸吮次数、开始吸吮组的时间更短、吸吮组的时间更长、零星吸吮的次数更少、平均压力值更高且标准差更小、暂停次数更多且暂停时间更短。组内相关系数显示,对于评估的 12 个参数,几乎存在完美的一致性。
分析的 12 个变量是相关的,特别是在第二次采集时。Matlab®程序在提取和分析参数方面是可行和有效的,与手动评估相比,显示出高度的一致性。