Geng Linda N, Erlandson Kristine M, Hornig Mady, Letts Rebecca, Selvaggi Caitlin, Ashktorab Hassan, Atieh Ornina, Bartram Logan, Brim Hassan, Brosnahan Shari B, Brown Jeanette, Castro Mario, Charney Alexander, Chen Peter, Deeks Steven G, Erdmann Nathaniel, Flaherman Valerie J, Ghamloush Maher A, Goepfert Paul, Goldman Jason D, Han Jenny E, Hess Rachel, Hirshberg Ellie, Hoover Susan E, Katz Stuart D, Kelly J Daniel, Klein Jonathan D, Krishnan Jerry A, Lee-Iannotti Joyce, Levitan Emily B, Marconi Vincent C, Metz Torri D, Modes Matthew E, Nikolich Janko Ž, Novak Richard M, Ofotokun Igho, Okumura Megumi J, Parthasarathy Sairam, Patterson Thomas F, Peluso Michael J, Poppas Athena, Quintero Cardona Orlando, Scott Jake, Shellito Judd, Sherif Zaki A, Singer Nora G, Taylor Barbara S, Thaweethai Tanayott, Verduzco-Gutierrez Monica, Wisnivesky Juan, McComsey Grace A, Horwitz Leora I, Foulkes Andrea S
Department of Medicine, School of Medicine, Stanford University, Stanford, California.
Division of Infectious Diseases, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora.
JAMA. 2025 Feb 25;333(8):694-700. doi: 10.1001/jama.2024.24184.
Classification of persons with long COVID (LC) or post-COVID-19 condition must encompass the complexity and heterogeneity of the condition. Iterative refinement of the classification index for research is needed to incorporate newly available data as the field rapidly evolves.
To update the 2023 research index for adults with LC using additional participant data from the Researching COVID to Enhance Recovery (RECOVER-Adult) study and an expanded symptom list based on input from patient communities.
DESIGN, SETTING, AND PARTICIPANTS: Prospective, observational cohort study including adults 18 years or older with or without known prior SARS-CoV-2 infection who were enrolled at 83 sites in the US and Puerto Rico. Included participants had at least 1 study visit taking place 4.5 months after first SARS-CoV-2 infection or later, and not within 30 days of a reinfection. The study visits took place between October 2021 and March 2024.
SARS-CoV-2 infection.
Presence of LC and participant-reported symptoms.
A total of 13 647 participants (11 743 with known SARS-CoV-2 infection and 1904 without known prior SARS-CoV-2 infection; median age, 45 years [IQR, 34-69 years]; and 73% were female) were included. Using the least absolute shrinkage and selection operator analysis regression approach from the 2023 model, symptoms contributing to the updated 2024 index included postexertional malaise, fatigue, brain fog, dizziness, palpitations, change in smell or taste, thirst, chronic cough, chest pain, shortness of breath, and sleep apnea. For the 2024 LC research index, the optimal threshold to identify participants with highly symptomatic LC was a score of 11 or greater. The 2024 index classified 20% of participants with known prior SARS-CoV-2 infection and 4% of those without known prior SARS-CoV-2 infection as having likely LC (vs 21% and 5%, respectively, using the 2023 index) and 39% of participants with known prior SARS-CoV-2 infection as having possible LC, which is a new category for the 2024 model. Cluster analysis identified 5 LC subtypes that tracked quality-of-life measures.
The 2024 LC research index for adults builds on the 2023 index with additional data and symptoms to help researchers classify symptomatic LC and its symptom subtypes. Continued future refinement of the index will be needed as the understanding of LC evolves.
对患有长期新冠(LC)或新冠后状况的人群进行分类必须涵盖该状况的复杂性和异质性。随着该领域的迅速发展,需要对研究分类指标进行迭代完善,以纳入新获得的数据。
利用来自“研究新冠以促进康复(成人)”(RECOVER - Adult)研究的更多参与者数据以及基于患者群体意见的扩展症状列表,更新2023年成人LC研究指标。
设计、设置和参与者:前瞻性观察性队列研究,纳入年龄在18岁及以上、有或无已知既往SARS-CoV-2感染的成年人,这些成年人在美国和波多黎各的83个地点入组。纳入的参与者在首次SARS-CoV-2感染后4.5个月或更晚至少有1次研究访视,且不在再次感染的30天内。研究访视于2021年10月至2024年3月进行。
SARS-CoV-2感染。
LC的存在情况以及参与者报告的症状。
共纳入13647名参与者(11743名有已知SARS-CoV-2感染,1904名无已知既往SARS-CoV-2感染;中位年龄45岁[四分位间距,34 - 69岁];73%为女性)。使用2023年模型中的最小绝对收缩和选择算子分析回归方法,对更新后的2024年指标有贡献的症状包括运动后不适、疲劳、脑雾、头晕、心悸、嗅觉或味觉改变、口渴、慢性咳嗽、胸痛、呼吸急促和睡眠呼吸暂停。对于2024年LC研究指标,识别有高度症状性LC参与者的最佳阈值为11分或更高。2024年指标将20%有已知既往SARS-CoV-2感染的参与者和4%无已知既往SARS-CoV-2感染的参与者分类为可能患有LC(使用2023年指标时分别为21%和5%),并将39%有已知既往SARS-CoV-2感染的参与者分类为可能患有LC,这是2024年模型中的一个新类别。聚类分析确定了5种LC亚型,这些亚型与生活质量测量指标相关。
2024年成人LC研究指标在2023年指标的基础上增加了数据和症状,以帮助研究人员对有症状的LC及其症状亚型进行分类。随着对LC的认识不断发展,未来仍需要继续完善该指标。