Determinants of persistent symptoms after treatment for Lyme borreliosis: a prospective observational cohort study

被引:8
作者
Vrijmoeth, Hedwig D. [1 ,2 ]
Ursinus, Jeanine [3 ,4 ]
Harms, Margriet G. [5 ]
Tulen, Anna D. [5 ]
Baarsma, M. E. [3 ,4 ]
van de Schoor, Freek R. [1 ,2 ]
Gauw, Stefanie A. [3 ,4 ]
Zomer, Tizza P. [7 ]
Vermeeren, Yolande M. [7 ]
Ferreira, Jose A. [5 ]
Sprong, Hein [5 ]
Kremer, Kristin [5 ,8 ]
Knoop, Hans [6 ]
Joosten, Leo A. B. [1 ,2 ]
Kullberg, Bart Jan [1 ,2 ]
Hovius, Joppe W. [3 ,4 ]
van den Wijngaard, Cees C. [5 ]
机构
[1] Radboud Univ Nijmegen Med Ctr, Dept Internal Med, POB 9101, NL-6500 HB Nijmegen, Netherlands
[2] Radboud Univ Nijmegen Med Ctr, Radboudumc Ctr Infect Dis RCI, POB 9101, NL-6500 HB Nijmegen, Netherlands
[3] Univ Amsterdam, Dept Internal Med, Div Infect Dis, Amsterdam UMC,Locat AMC, POB 22660, NL-1100 DD Amsterdam, Netherlands
[4] Amsterdam Inst Infect & Immun, Amsterdam, Netherlands
[5] Natl Inst Publ Hlth & Environm RIVM, Ctr Infect Dis Control, POB 1, NL-3720 BA Bilthoven, Netherlands
[6] Univ Amsterdam, Amsterdam Publ Hlth Res Inst, Dept Med Psychol, Amsterdam UMC, POB 22660, NL-1100 DD Amsterdam, Netherlands
[7] Gelre Hosp, Lyme Ctr Apeldoorn, POB 9014, NL-7300 DS Apeldoorn, Netherlands
[8] KNCV TB Fdn, POB 146, NL-2501 CC The Hague, Netherlands
来源
EBIOMEDICINE | 2023年 / 98卷
关键词
the Netherlands; Lyme borreliosis; Erythema migrans; Persistent symptoms; MULTIPLE-SCLEROSIS; FATIGUE; DISEASE; NEUROBORRELIOSIS; NETHERLANDS; RELIABILITY; PATTERN;
D O I
10.1016/j.ebiom.2023.104825
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Patients treated for Lyme borreliosis (LB) frequently report persistent symptoms. Little is known about risk factors and etiology.Methods In a prospective observational cohort study with a follow-up of one year, we assessed a range of microbiological, immunological, genetic, clinical, functional, epidemiological, psychosocial and cognitive-behavioral variables as determinants of persistent symptoms after treatment for LB. Between 2015 and 2018 we included 1135 physician-confirmed LB patients at initiation of antibiotic therapy, through clinical LB centers and online self-registration. Two reference cohorts of individuals without LB (n = 4000 and n = 2405) served as a control. Prediction analyses and association studies were used to identify determinants, as collected from online questionnaires (three-monthly) and laboratory tests (twice).Findings Main predictors of persistent symptoms were baseline poorer physical and social functioning, higher depression and anxiety scores, more negative illness perceptions, comorbidity, as well as fatigue, cognitive impairment, and pain in 295 patients with persistent symptoms. The primary prediction model correctly indicated persistent symptoms in 71.0% of predictions (AUC 0.79). In patients with symptoms at baseline, cognitive-behavioral responses to symptoms predicted symptom persistence. Of various microbiological, immunological and genetic factors, only lower IL-10 concentrations in ex vivo stimulation experiments were associated with persistent symptoms. Clinical LB characteristics did not contribute to the prediction of persistent symptoms.Interpretation Determinants of persistent symptoms after LB were mainly generic, including baseline functioning, symptoms and cognitive-behavioral responses. A potential role of host immune responses remains to be investigated.Funding Netherlands Organisation for Health Research and Development (ZonMw); the Dutch Ministry of Health, Welfare and Sport (VWS).Copyright (c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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相关论文
共 56 条
  • [1] CCL19 as a Chemokine Risk Factor for Posttreatment Lyme Disease Syndrome: a Prospective Clinical Cohort Study
    Aucott, John N.
    Soloski, Mark J.
    Rebman, Alison W.
    Crowder, Lauren A.
    Lahey, Lauren J.
    Wagner, Catriona A.
    Robinson, William H.
    Bechtold, Kathleen T.
    [J]. CLINICAL AND VACCINE IMMUNOLOGY, 2016, 23 (09) : 757 - 766
  • [2] Development of a foundation for a case definition of post-treatment Lyme disease syndrome
    Aucott, John N.
    Crowder, Lauren A.
    Kortte, Kathleen B.
    [J]. INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2013, 17 (06) : E443 - E449
  • [3] Diagnostic parameters of cellular tests for Lyme borreliosis in Europe (VICTORY study): a case-control study
    Baarsma, M. E.
    van de Schoor, Freek R.
    Gauw, Stefanie A.
    Vrijmoeth, Hedwig D.
    Ursinus, Jeanine
    Goudriaan, Nienke
    Popa, Calin D.
    ter Hofstede, Hadewych J. M.
    Leeflang, Mariska M. G.
    Kremer, Kristin
    van den Wijngaard, Cees C.
    Kullberg, Bart-Jan
    Joosten, Leo A. B.
    Hovius, Joppe W.
    [J]. LANCET INFECTIOUS DISEASES, 2022, 22 (09) : 1388 - 1396
  • [4] Ballering AV, 2022, LANCET, V400, P452, DOI 10.1016/S0140-6736(22)01214-4
  • [5] A random forest guided tour
    Biau, Gerard
    Scornet, Erwan
    [J]. TEST, 2016, 25 (02) : 197 - 227
  • [6] Clinical Course, Serologic Response, and Long-Term Outcome in Elderly Patients with Early Lyme Borreliosis
    Borsic, Katarina
    Blagus, Rok
    Cerar, Tjasa
    Strle, Franc
    Stupica, Dasa
    [J]. JOURNAL OF CLINICAL MEDICINE, 2018, 7 (12)
  • [7] Do Anxiety and Depression Predict Persistent Physical Symptoms After a Severe COVID-19 Episode? A Prospective Study
    Bottemanne, Hugo
    Gouraud, Clement
    Hulot, Jean-Sebastien
    Blanchard, Anne
    Ranque, Brigitte
    Lahlou-Laforet, Khadija
    Limosin, Frederic
    Gunther, Sven
    Lebeaux, David
    Lemogne, Cedric
    [J]. FRONTIERS IN PSYCHIATRY, 2021, 12
  • [8] Feasibility, reliability and validity of a questionnaire on healthcare consumption and productivity loss in patients with a psychiatric disorder (TiC-P)
    Bouwmans, Clazien
    Jong, Kim De
    Timman, Reinier
    Zijlstra-Vlasveld, Moniek
    Van der Feltz-Cornelis, Christina
    Tan, Siok Swan
    Hakkaart-van Roijen, Leona
    [J]. BMC HEALTH SERVICES RESEARCH, 2013, 13
  • [9] Random forests
    Breiman, L
    [J]. MACHINE LEARNING, 2001, 45 (01) : 5 - 32
  • [10] Random forests
    Breiman, L
    [J]. MACHINE LEARNING, 2001, 45 (01) : 5 - 32