Lipford Melissa C, Ip Wui, Awasthi Samir, Moore J Layne, Tippmann-Peikert Maja, Asfahan Shahir, Kumar-M Praveen, Pal Singh Gajinder, Gudeman Jennifer
Mayo Clinic, Rochester, MN, USA.
nference, Cambridge, MA, USA.
Sleep Adv. 2024 Sep 14;5(1):zpae067. doi: 10.1093/sleepadvances/zpae067. eCollection 2024.
Narcolepsy has a complex phenotype owing to differences in symptomatology, disease severity, and comorbidities. This is the first study to use aggregate electronic health record (EHR) data and natural language processing (NLP) algorithms to characterize the demographics and comorbidities of a large cohort of patients with narcolepsy.
First-time Mayo Clinic patients (2000-2020) who had ≥1 narcolepsy-specific ICD-9/10 code and ≥1 disease-supportive statement in the clinical notes (identified using an NLP algorithm) were identified. A control cohort was propensity matched for birth year, age at first institutional encounter, sex, race, ethnicity, number of diagnosis codes, and mortality. Common comorbidities were compared and ranked between cohorts.
In the EHR database ( = 6 389 186 patients), 2057 patients with narcolepsy were identified (median age, 32 years; 59.6% female; 92.6% white; and 89.2% non-Hispanic) and propensity matched with a control cohort. Among the top 20 comorbidities occurring more frequently in the narcolepsy cohort compared with the control cohort (odds ratio [OR], 1.67-3.94; < .001]) were sleep disorders (restless legs syndrome, obstructive sleep apnea, and insomnia), mood disorders (depression, dysthymia, and anxiety), and pain disorders (chronic pain syndrome, migraine, fibromyalgia, carpal tunnel syndrome, and myalgia). Other comorbidities significantly associated with narcolepsy (OR, 1.33-1.95) were irritable bowel syndrome ( < .001), asthma ( < .001), cervical spondylosis ( < .01), syncope ( < .01), and hypothyroidism ( < .05).
This propensity-matched cohort study demonstrates increased psychiatric, sleep, and pain disorders in patients living with narcolepsy and challenges beyond narcolepsy-specific symptoms in this population. Understanding common narcolepsy-associated comorbidities may assist in tailoring treatment modalities.
发作性睡病具有复杂的表型,这是由于症状学、疾病严重程度和共病情况存在差异。这是第一项使用汇总电子健康记录(EHR)数据和自然语言处理(NLP)算法来描述一大群发作性睡病患者的人口统计学特征和共病情况的研究。
确定梅奥诊所的初诊患者(2000 - 2020年),这些患者在临床记录中有≥1个发作性睡病特异性ICD - 9/10编码以及≥1条疾病支持性陈述(使用NLP算法识别)。一个对照队列根据出生年份、首次就诊年龄、性别、种族、民族、诊断编码数量和死亡率进行倾向匹配。比较并排列两个队列之间的常见共病情况。
在EHR数据库(共6389186例患者)中,识别出2057例发作性睡病患者(中位年龄32岁;59.6%为女性;92.6%为白人;89.2%为非西班牙裔),并与一个对照队列进行倾向匹配。与对照队列相比,发作性睡病队列中出现频率更高的前20种共病(比值比[OR],1.67 - 3.94;P <.001)包括睡眠障碍(不宁腿综合征、阻塞性睡眠呼吸暂停和失眠)、情绪障碍(抑郁症、心境恶劣和焦虑症)以及疼痛障碍(慢性疼痛综合征、偏头痛、纤维肌痛、腕管综合征和肌痛)。与发作性睡病显著相关的其他共病(OR,1.33 - 1.95)有肠易激综合征(P <.001)、哮喘(P <.001)、颈椎病(P <.01)、晕厥(P <.01)和甲状腺功能减退(P <.05)。
这项倾向匹配队列研究表明,发作性睡病患者的精神、睡眠和疼痛障碍有所增加,且该人群面临的挑战超出了发作性睡病特异性症状。了解常见的发作性睡病相关共病情况可能有助于调整治疗方式。