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利用自然语言处理技术从神经科医生的临床记录中描述重症肌无力的症状、病情加重及危象

Characterizing Myasthenia Gravis Symptoms, Exacerbations, and Crises From Neurologist's Clinical Notes Using Natural Language Processing.

作者信息

Darer Jonathan D, Pesa Jacqueline, Choudhry Zia, Batista Alberto E, Parab Purva, Yang Xiaoyun, Govindarajan Raghav

机构信息

Medical and Innovation, Health Analytics, Clarksville, USA.

Real World Value and Evidence, Immunology, Janssen Scientific Affairs, Titusville, USA.

出版信息

Cureus. 2024 Jul 30;16(7):e65792. doi: 10.7759/cureus.65792. eCollection 2024 Jul.

Abstract

Background Myasthenia gravis (MG) is a rare, autoantibody neuromuscular disorder characterized by fatigable weakness. Real-world evidence based on administrative and structured datasets regarding MG may miss important details related to the clinical encounter. Examination of free-text clinical progress notes has the potential to illuminate aspects of MG care. Objective The primary objective was to examine and characterize neurologist progress notes in the care of individuals with MG regarding the prevalence of documentation of clinical subtypes, antibody status, symptomatology, and MG deteriorations, including exacerbations and crises. The secondary objectives were to categorize MG deteriorations into practical, objective states as well as examine potential sources of clinical inertia in MG care. Methods We performed a retrospective, cross-sectional analysis of de-identified neurologist clinical notes from 2017 to 2022. A qualitative analysis of physician descriptions of MG deteriorations and a discussion of risks in MG care (risk for adverse effects, risk for clinical decompensation, etc.) was performed. Results Of the 3,085 individuals with MG, clinical subtypes and antibody status identified included gMG (n = 400; 13.0%), ocular MG (n = 253; 8.2%), MG unspecified (2,432; 78.8%), seropositivity for acetylcholine receptor antibody (n = 441; 14.3%), and MuSK antibody (n = 29; 0.9%). The most common gMG manifestations were dysphagia (n = 712; 23.0%), dyspnea (n = 626; 20.3%), and dysarthria (n = 514; 16.7%). In MG crisis patients, documentation of difficulties with MG standard therapies was common (n = 62; 45.2%). The qualitative analysis of MG deterioration types includes symptom fluctuation, symptom worsening with treatment intensification, MG deterioration with rescue therapy, and MG crisis. Qualitative analysis of MG-related risks included the toxicity of new therapies and concern for worsening MG because of changing therapies. Conclusions This study of neurologist progress notes demonstrates the potential for real-world evidence generation in the care of individuals with MG. MG patients suffer fluctuating symptomatology and a spectrum of clinical deteriorations. Adverse effects of MG therapies are common, highlighting the need for effective, less toxic treatments.

摘要

背景 重症肌无力(MG)是一种罕见的自身抗体介导的神经肌肉疾病,其特征为易疲劳性肌无力。基于管理和结构化数据集的重症肌无力真实世界证据可能会遗漏与临床诊疗相关的重要细节。对自由文本形式的临床病程记录进行检查有可能揭示重症肌无力护理的各个方面。

目的 主要目的是检查和描述神经科医生在重症肌无力患者护理过程中的病程记录,内容包括临床亚型、抗体状态、症状学以及重症肌无力病情恶化情况(包括加重和危象)的记录患病率。次要目的是将重症肌无力病情恶化情况分类为实际的、客观的状态,并检查重症肌无力护理中临床惰性的潜在来源。

方法 我们对2017年至2022年去识别化的神经科医生临床记录进行了回顾性横断面分析。对医生对重症肌无力病情恶化的描述进行了定性分析,并讨论了重症肌无力护理中的风险(不良反应风险、临床失代偿风险等)。

结果 在3085例重症肌无力患者中,识别出的临床亚型和抗体状态包括全身型重症肌无力(gMG,n = 400;13.0%)、眼肌型重症肌无力(n = 253;8.2%)、未明确分型的重症肌无力(2432例;78.8%)、乙酰胆碱受体抗体血清阳性(n = 441;14.3%)以及肌肉特异性激酶(MuSK)抗体阳性(n = 29;0.9%)。全身型重症肌无力最常见的表现为吞咽困难(n = 712;23.0%)、呼吸困难(n = 626;20.3%)和构音障碍(n = 514;16.7%)。在重症肌无力危象患者中,关于重症肌无力标准治疗困难的记录很常见(n = 62;45.2%)。对重症肌无力病情恶化类型的定性分析包括症状波动、治疗强化时症状恶化、抢救治疗时重症肌无力病情恶化以及重症肌无力危象。对重症肌无力相关风险的定性分析包括新疗法的毒性以及因治疗改变而对重症肌无力病情恶化的担忧。

结论 这项对神经科医生病程记录的研究表明了在重症肌无力患者护理中生成真实世界证据的潜力。重症肌无力患者症状波动,存在一系列临床病情恶化情况。重症肌无力治疗的不良反应很常见,这凸显了需要有效且毒性较小的治疗方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/edc0/11361825/ca03cea7e87b/cureus-0016-00000065792-i01.jpg

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