开发一个全面的临床病理学注册表用于使用自然语言处理的淋巴细胞疾病
Bryce Barr1,2, Oksana Harasemiw1,2, Ian W Gibson3,4
1Department of Internal Medicine, University of Manitoba, Winnipeg, Canada.
Canadian journal of kidney health and disease
|June 21, 2023
概括
使用自然语言处理创建了一个新的临床病理学注册表,用于质细胞疾病 (GN). 与感染有关的GN显示功能衰竭和死亡率最高,强调需要更好地管理GN.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 流行病学 流行病学
- 医疗信息学 医疗信息学
背景情况:
- 淋巴细胞炎 (GN) 是慢性病的主要原因之一.
- 有效的GN管理对于降低患者病率至关重要.
- 现有的GN患者登记册资源密集,可能有不完整的数据.
研究的目的:
- 为曼尼托巴省所有GN患者建立一个全面的临床病理学登记册.
- 利用自然语言处理 (NLP) 来有效地从病理学报告中提取数据.
- 描述队列并分析球细胞疾病的结果.
主要方法:
- 在曼尼托巴省进行了一项基于人口的回顾性队列研究.
- 自然语言处理 (NLP) 算法从2103份原生脏活检报告 (2002-2019) 中提取了数据.
- 该注册表与行政,临床和实验室数据联系在一起;使用卡普兰-梅尔曲线和考克斯模型分析了结果 (功能衰竭,死亡率).
主要成果:
- 该注册表包括1292名患有常见质细胞疾病的患者.
- 免疫球蛋白A (IgA) 病是最常见的GN类型 (28.6%).
- 与感染相关的GN功能衰竭率 (70.3%) 和死亡率 (42.3%) 较高. 尿中的白蛋白与肌素的比率和年龄分别预测了功能衰竭和死亡率.
结论:
- 使用NLP数据提取方法,可以建立一个全面的淋巴细胞疾病注册表.
- 这份登记册使得GN的进一步流行病学研究成为可能.
- 调查结果强调,与感染相关的GN是一种高风险的疾病,需要集中注意力.
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