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Insights From Omics in Lyme Disease.从组学角度看莱姆病
J Infect Dis. 2024 Aug 14;230(Supplement_1):S18-S26. doi: 10.1093/infdis/jiae250.
2
Surveillance for Lyme Disease After Implementation of a Revised Case Definition - United States, 2022.2022 年美国实施修订后病例定义后的莱姆病监测。
MMWR Morb Mortal Wkly Rep. 2024 Feb 15;73(6):118-123. doi: 10.15585/mmwr.mm7306a1.
3
Time to Diagnosis and Treatment of Lyme Disease by Patient Race.按患者种族划分的莱姆病诊断和治疗时间
JAMA Netw Open. 2023 Dec 1;6(12):e2347184. doi: 10.1001/jamanetworkopen.2023.47184.
4
Gene set predictor for post-treatment Lyme disease.用于治疗后莱姆病的基因集预测器。
Cell Rep Med. 2022 Nov 15;3(11):100816. doi: 10.1016/j.xcrm.2022.100816.
5
A diagnostic classifier for gene expression-based identification of early Lyme disease.一种基于基因表达的早期莱姆病诊断分类器。
Commun Med (Lond). 2022 Jul 22;2:92. doi: 10.1038/s43856-022-00127-2. eCollection 2022.
6
Recent Progress in Lyme Disease and Remaining Challenges.莱姆病的最新进展及尚存挑战
Front Med (Lausanne). 2021 Aug 18;8:666554. doi: 10.3389/fmed.2021.666554. eCollection 2021.
7
Comparison of Lyme Disease in the United States and Europe.美国与欧洲莱姆病的比较。
Emerg Infect Dis. 2021 Aug;27(8):2017-2024. doi: 10.3201/eid2708.204763.
8
Estimating the Frequency of Lyme Disease Diagnoses, United States, 2010-2018.估计 2010-2018 年美国莱姆病诊断的频率。
Emerg Infect Dis. 2021 Feb;27(2):616-619. doi: 10.3201/eid2702.202731.
9
Antibiotic treatment in patients that present with solely non-specific symptoms and positive serology at a Lyme centre.在莱姆病中心出现仅非特异性症状和血清学阳性的患者中进行抗生素治疗。
Eur J Intern Med. 2020 May;75:114-116. doi: 10.1016/j.ejim.2020.01.027. Epub 2020 Feb 16.
10
Chronic Lyme Disease: An Evidence-Based Definition by the ILADS Working Group.慢性莱姆病:国际莱姆病与相关疾病协会(ILADS)工作组基于证据的定义
Antibiotics (Basel). 2019 Dec 16;8(4):269. doi: 10.3390/antibiotics8040269.

感染相关性慢性病研究中莱姆病的拟议研究分类标准。

Proposed research classification criteria for Lyme disease in infection associated chronic illness studies.

作者信息

Fallon Brian A, Kuvaldina Mara, Zubcevik Nevena, DeBiasi Roberta, Mulkey Sarah B, Chiu Charles, Chow Felicia, Paolino Kristopher, Lai Randy, Putrino David, Proal Amy, Pavlicova Martina, Aucott John

机构信息

Lyme & Tick-Borne Diseases Research Center at Columbia University Irving Medical Center, New York, NY, United States.

Department of Psychiatry, Columbia University, New York, NY, United States.

出版信息

Front Med (Lausanne). 2025 Feb 25;12:1519163. doi: 10.3389/fmed.2025.1519163. eCollection 2025.

DOI:10.3389/fmed.2025.1519163
PMID:40070652
原文链接:
https://pmc.ncbi.nlm.nih.gov/articles/PMC11893417/
Abstract

BACKGROUND

Research on patients with persistent symptoms despite prior treatment for Lyme disease can be challenging to interpret given the diversity of criteria selected to characterize Lyme disease and to define the syndrome of those with persistent symptoms. Because most research studies only include patients with well-documented prior Lyme disease, the generalizability of the study results is limited, excluding the larger group of patients often seen in community practice who do not meet these stringent enrollment criteria. Researchers at the Lyme and other Tick-borne Diseases Clinical Trials Network (LTD-CTN) recognized early on that a research classification system was needed to facilitate the design of studies that are more inclusive. This paper presents a proposed research classification system.

METHODS

Criteria used in published clinical research on previously treated Lyme disease were reviewed. Clinical expertise was provided by principal investigators in the LTD-CTN. Further input was obtained from a diverse panel of stakeholders in the field, including clinicians, academic researchers, and patient advocates. This classification system was developed based on feedback collected from all these sources.

RESULTS

The new research classification system proposes criteria for Lyme disease at different levels of diagnostic certainty: well-defined, probable, possible, and uncertain. Criteria for ascertainment for each classification level and additional factors to be considered in patient selection for research are described.

CONCLUSION

The proposed research classification system should improve the quality and generalizability of clinical research by providing clear case definitions for enrollment of a more diverse group of patients with sequelae from Lyme disease.

摘要

背景

鉴于用于表征莱姆病以及定义有持续症状患者综合征的标准具有多样性,对尽管先前已接受莱姆病治疗但仍有持续症状的患者进行研究,其结果可能难以解读。由于大多数研究仅纳入先前莱姆病记录完备的患者,研究结果的可推广性有限,将社区实践中常见的、不符合这些严格纳入标准的更大患者群体排除在外。莱姆病及其他蜱传疾病临床试验网络(LTD - CTN)的研究人员很早就认识到需要一个研究分类系统,以促进设计更具包容性的研究。本文提出了一个拟议的研究分类系统。

方法

回顾了已发表的关于先前治疗过的莱姆病的临床研究中所使用的标准。LTD - CTN的主要研究者提供了临床专业知识。还从该领域不同的利益相关者群体中获取了进一步的意见,包括临床医生、学术研究人员和患者权益倡导者。这个分类系统是基于从所有这些来源收集的反馈而制定的。

结果

新的研究分类系统针对不同诊断确定性水平的莱姆病提出了标准:明确诊断、很可能、可能、不确定。描述了每个分类水平的确证标准以及研究患者选择中要考虑的其他因素。

结论

拟议的研究分类系统应为纳入更多样化的莱姆病后遗症患者提供明确的病例定义,从而提高临床研究的质量和可推广性。