分析新生儿非营养性吸吮客观测量参数的特征。

IF 0.9 Q4 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
CoDAS Pub Date : 2024-05-31 eCollection Date: 2024-01-01 DOI:10.1590/2317-1782/20242023149pt
Bárbara Generoso Santos de Matos Sales, Renata Maria Moreira Moraes Furlan, Camila Alexandra Vilaça Ramos, Narciso Sena Fracaroli, Estevam Barbosa de Las Casas, Andréa Rodrigues Motta
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引用次数: 0

摘要

目的:提出一种方法,用于分析测量新生儿非营养性吸吮压力的仪器所产生的数据:采用横断面设计,从 24 名无并发症的足月新生儿中收集数据,开展分析观察研究。对每个新生儿的三次采集进行分析,每次采集持续 2 分钟,两次采集之间间隔 2 分钟。使用 Matlab® 开发的程序提取定义的参数。在 5%的置信水平下,通过分析和比较 12 个变量得出结果。还使用类内相关系数对人工分析和计算机分析进行了比较:三个采集时刻的多重比较显示,采集一和采集二以及采集二和采集三之间存在显著的统计差异。在对每个变量进行单独分析和比较时发现,第二次采集显示:吸吮组数较多、吸吮次数较多、吸吮组开始吸吮时间较短、吸吮组吸吮时间较长、零星吸吮次数较少、平均压力值较高且标准偏差较小、停顿次数较多但停顿时间较短。类内相关系数显示,12 个评估参数几乎完全一致:结论:分析的 12 个变量是相关的,尤其是在第二次采集中。Matlab® 程序在提取和分析参数方面被证明是可行和有效的,与人工评估相比显示出很高的一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterization of parameters for the analysis of objective measures of non-nutritive sucking of newborns.

Purpose: To propose a methodology for analyzing data generated by an instrument measuring non-nutritive sucking pressure in newborns.

Methods: 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.

Results: 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.

Conclusion: 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.

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来源期刊
CoDAS
CoDAS AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY-
CiteScore
0.90
自引率
12.50%
发文量
103
审稿时长
30 weeks
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