Automated software-derived supine baseline impedance is highly correlated with manual nocturnal baseline impedance for the diagnosis of GERD

被引:0
|
作者
Reddy, Alexander T. [1 ]
Patel, Amit [1 ,2 ]
Leiman, David A. [1 ,3 ]
机构
[1] Duke Univ, Div Gastroenterol, Med Ctr, Durham, NC USA
[2] Durham VA Med Ctr, Durham, NC USA
[3] Duke Clin Res Inst, Durham, NC USA
来源
NEUROGASTROENTEROLOGY AND MOTILITY | 2024年 / 36卷 / 09期
关键词
artificial intelligence; GERD; impedance; pH study;
D O I
10.1111/nmo.14861
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
Background Mean nocturnal baseline impedance (MNBI) can improve diagnostic accuracy for gastroesophageal reflux disease (GERD), but must be manually calculated and is not routinely reported. We aimed to determine how automated software-derived mean supine baseline impedance (MSBI), a potential novel GERD metric, is related to MNBI. Methods Consecutively obtained pH-impedance studies were assessed. Manually extracted MNBI was compared to MSBI using paired t-test and Spearman's correlations. Key Results The correlation between MNBI and MSBI was very high (rho = 0.966, p < 0.01). Conclusions & Inferences The ease of acquisition and correlation with MNBI warrant the routine clinical use and reporting of MSBI with pH-impedance studies.
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页数:4
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