A logistic regression analysis of risk factors in ME/CFS pathogenesis

被引:30
|
作者
Lacerda, Eliana M. [1 ]
Geraghty, Keith [2 ]
Kingdon, Caroline C. [1 ]
Palla, Luigi [1 ]
Nacul, Luis [1 ]
机构
[1] London Sch Hyg & Trop Med, Fac Infect & Trop Dis, London WC1E 7HT, England
[2] Univ Manchester, Sch Community Based Med, Inst Populat Hlth, Ctr Primary Care, Williamson Bldg,Brunswick St, Manchester M13 9PL, Lancs, England
基金
美国国家卫生研究院;
关键词
Myalgic encephalomyelitis; chronic fatigue syndrome; Multiple sclerosis; Risk factors; Illness severity; CHRONIC-FATIGUE-SYNDROME; SYNDROME/MYALGIC ENCEPHALOMYELITIS; MYALGIC ENCEPHALOMYELITIS; GENDER; INFECTION; CARE;
D O I
10.1186/s12883-019-1468-2
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a complex disease, whose exact cause remains unclear. A wide range of risk factors has been proposed that helps understanding potential disease pathogenesis. However, there is little consistency for many risk factor associations, thus we undertook an exploratory study of risk factors using data from the UK ME/CFS Biobank participants. We report on risk factor associations in ME/CFS compared with multiple sclerosis participants and healthy controls. Methods This was a cross-sectional study of 269 people with ME/CFS, including 214 with mild/moderate and 55 with severe symptoms, 74 people with multiple sclerosis (MS), and 134 healthy controls, who were recruited from primary and secondary health services. Data were collected from participants using a standardised written questionnaire. Data analyses consisted of univariate and multivariable regression analysis (by levels of proximity to disease onset). Results A history of frequent colds (OR = 8.26, P <= 0.001) and infections (OR = 25.5, P = 0.015) before onset were the strongest factors associated with a higher risk of ME/CFS compared to healthy controls. Being single (OR = 4.41, P <= 0.001), having lower income (OR = 3.71, P <= 0.001), and a family history of anxiety is associated with a higher risk of ME/CFS compared to healthy controls only (OR = 3.77, P < 0.001). History of frequent colds (OR = 6.31, P < 0.001) and infections before disease onset (OR = 5.12, P = 0.005), being single (OR = 3.66, P = 0.003) and having lower income (OR = 3.48, P = 0.001), are associated with a higher risk of ME/CFS than MS. Severe ME/CFS cases were associated with lower age of ME/CFS onset (OR = 0.63, P = 0.022) and a family history of neurological illness (OR = 6.1, P = 0.001). Conclusions Notable differences in risk profiles were found between ME/CFS and healthy controls, ME/CFS and MS, and mild-moderate and severe ME/CFS. However, we found some commensurate overlap in risk associations between all cohorts. The most notable difference between ME/CFS and MS in our study is a history of recent infection prior to disease onset. Even recognising that our results are limited by the choice of factors we selected to investigate, our findings are consistent with the increasing body of evidence that has been published about the potential role of infections in the pathogenesis of ME/CFS, including common colds/flu.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] A logistic regression analysis of risk factors in ME/CFS pathogenesis
    Eliana M. Lacerda
    Keith Geraghty
    Caroline C. Kingdon
    Luigi Palla
    Luis Nacul
    BMC Neurology, 19
  • [2] Genetic risk factors for ME/CFS identified using combinatorial analysis
    Das, Sayoni
    Taylor, Krystyna
    Kozubek, James
    Sardell, Jason
    Gardner, Steve
    JOURNAL OF TRANSLATIONAL MEDICINE, 2022, 20 (01)
  • [3] Genetic risk factors for ME/CFS identified using combinatorial analysis
    Sayoni Das
    Krystyna Taylor
    James Kozubek
    Jason Sardell
    Steve Gardner
    Journal of Translational Medicine, 20
  • [4] A logistic regression analysis of risk factors for ischemic colitis
    Wu, Changcai
    Shu, Jianchang
    Ye, Guorong
    Fu, Meiya
    Deng, Yanmei
    JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY, 2013, 28 : 828 - 828
  • [5] Genetic risk factors of ME/CFS: a critical review
    Dibble, Joshua J.
    McGrath, Simon J.
    Ponting, Chris P.
    HUMAN MOLECULAR GENETICS, 2020, 29 (R1) : R118 - R125
  • [6] Risk factors for temporomandibular disorder: Binary logistic regression analysis
    Magalhaes, Bruno-Gama
    de-Sousa, Stephanie-Trajano
    de Mello, Victor-Villaa-Cardoso
    da-Silva-Barbosa, Andre-Cavalcante
    de-Assis-Morais, Mariana-Pacheco-Lima
    Barbosa-Vasconcelos, Marcia-Maria-Vendiciano
    Caldas-Junior, Arnaldo-de-Franca
    MEDICINA ORAL PATOLOGIA ORAL Y CIRUGIA BUCAL, 2014, 19 (03): : E232 - E236
  • [7] Logistic Regression Analysis of Risk Factors for the Development of Alveolar Osteitis
    Halabi, Diego
    Escobar, Jose
    Munoz, Carlos
    Uribe, Sergio
    JOURNAL OF ORAL AND MAXILLOFACIAL SURGERY, 2012, 70 (05) : 1040 - 1044
  • [8] Complications in tissue expansion: A logistic regression analysis for risk factors
    Smolle, Christian
    Tuca, Alexandru
    Wurzer, Paul
    Spendel, Stephanie M.
    Forbes, Abigail A.
    Spendel, Stephan
    Schintler, Michael
    Haxhija, Emir
    Schwenzer-Zimmerer, Katja
    Friedl, Herwig
    Kamolz, Lars-Peter
    Parvizi, Daryousch
    BURNS, 2017, 43 (06) : 1195 - 1202
  • [9] A multivariate logistic regression analysis of risk factors for blunt cerebrovascular injury
    Berne, John D.
    Cook, Alan
    Rowe, Stephen A.
    Norwood, Scott H.
    JOURNAL OF VASCULAR SURGERY, 2010, 51 (01) : 57 - 64
  • [10] Risk Factors for Infantile Antibiotic Associated Diarrhea: Logistic Regression Analysis
    Chen, Meng
    Luo, Lin
    Xiao, Pengfei
    Liu, Xiulan
    Chen, Shuangyan
    LATIN AMERICAN JOURNAL OF PHARMACY, 2023, 42 (02): : 405 - 409