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首页> 外文期刊>npj Digital Medicine >Language impairment in adults with end-stage liver disease: application of natural language processing towards patient-generated health records
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Language impairment in adults with end-stage liver disease: application of natural language processing towards patient-generated health records

机译:终末期肝病的成人语言障碍:自然语言处理在患者产生的健康记录中的应用

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摘要

End-stage liver disease (ESLD) is associated with cognitive impairment ranging from subtle alterations in attention to overt hepatic encephalopathy that resolves after transplant. Natural language processing (NLP) may provide a useful method to assess cognitive status in this population. We identified 81 liver transplant recipients with ESLD (4/2013–2/2018) who sent at least one patient-to-provider electronic message pre-transplant and post-transplant, and matched them 1:1 to “healthy” controls—who had similar disease, but had not been evaluated for liver transplant—by age, gender, race/ethnicity, and liver disease. Messages written by patients pre-transplant and post-transplant and controls was compared across 19 NLP measures using paired Wilcoxon signed-rank tests. While there was no difference overall in word length, patients with Model for End-Stage Liver Disease Score (MELD) ≥ 30 (n = 31) had decreased word length in pre-transplant messages (3.95 [interquartile range (IQR) 3.79, 4.14]) compared to post-transplant (4.13 [3.96, 4.28], p = 0.01) and controls (4.2 [4.0, 4.4], p = 0.01); there was no difference between post-transplant and controls (p = 0.4). Patients with MELD ≥ 30 had fewer 6+ letter words in pre-transplant messages (19.5% [16.4, 25.9] compared to post-transplant (23.4% [20.0, 26.7] p = 0.02) and controls (25.0% [19.2, 29.4]; p = 0.01). Overall, patients had increased sentence length pre-transplant (12.0 [9.8, 13.7]) compared to post-transplant (11.0 [9.2, 13.3]; p = 0.046); the same was seen for MELD ≥ 30 (12.3 [9.8, 13.7] pre-transplant vs. 10.8 [9.6, 13.0] post-transplant; p = 0.050). Application of NLP to patient-generated messages identified language differences—longer sentences with shorter words—that resolved after transplant. NLP may provide opportunities to detect cognitive impairment in ESLD.
机译:终末期肝病(ESLD)与认知障碍相关,这些障碍范围从注意移植后解决明显的肝脑病的微妙改变。自然语言处理(NLP)可以提供评估该人群中认知状态的有用方法。我们鉴定了8​​1名肝脏移植接受者与ESLD(4/2013-2 / 2018)送到至少一名患者到提供者电子邮件预移植和移植后,并将其与“健康”控制匹配 - 谁有类似的疾病,但尚未评估肝移植的年龄,性别,种族/种族和肝病。使用配对的Wilcoxon签名 - 秩检验比较了患者预移植前和移植后和移植后和对照的消息。虽然单词长度没有差异,但终级肝病评分模型(MELD)≥30(n = 31)的患者在移植前消息中的单词长度下降(3.95 [四分位数范围(IQR)3.79,4.14 ])与移植后(4.13 [3.96,4.28],P = 0.01)和对照(4.2 [4.0,4.4],P = 0.01);后移植和控制之间没有差异(p = 0.4)。 Meld≥30的患者在移植前消息中具有较少的6+字母词(19.5%[16.4,25.9]与后移植后(23.4%[20.0,26.7] p = 0.02)和对照(25.0%[19.2,29.4] ]; p = 0.01)。总体而言,与移植后的判决长度预移植(12.0 [9.8,13.7])增加了(11.0 [9.2,13.3]; p = 0.046);对于meld≥相同,≥移植后的30(12.3 [9.8,13.7]移植后,移植后; P = 0.050)。将NLP应用于患者生成的消息,以更短的单词识别语言差异 - 更长的句子 - 移植后解决。NLP可以提供检测ESLD中的认知障碍的机会。

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