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Post-treatment Lyme disease symptoms score: Developing a new tool for research — Europe PMC PMID:31710647

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/31710647
DOI: 10.1371/journal.pone.0225012
License (as archived): CC0-1.0
Archived: 2026-11-10T02:36:20.724Z
SHA-256 of the archived text: f5ea3103a257222d94a8b4d989f2c94dfcabf4c0847d55dbf7a9e6a232b4c2ff
Stable URL of this page: https://metraipolis.com/documento/dc_9979cd2226bc

How to cite

Post-treatment Lyme disease symptoms score: Developing a new tool for research — Europe PMC PMID:31710647 — Europe PMC (en), https://europepmc.org/article/MED/31710647 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_9979cd2226bc (Metraipolis archive dc_9979cd2226bc, sha256 f5ea3103a257222d94a8b4d989f2c94dfcabf4c0847d55dbf7a9e6a232b4c2ff)

BibTeX

@misc{dc9979cd2226bc,
  title = {Post-treatment Lyme disease symptoms score: Developing a new tool for research — Europe PMC PMID:31710647},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/31710647},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_9979cd2226bc; sha256 f5ea3103a257222d94a8b4d989f2c94dfcabf4c0847d55dbf7a9e6a232b4c2ff},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: Europe PMC (en), https://europepmc.org/article/MED/31710647. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Some patients have residual non-specific symptoms after therapy for Lyme disease, referred to as post-treatment Lyme disease symptoms or syndrome, depending on whether there is functional impairment. A standardized test battery was used to characterize a diverse group of Lyme disease patients with and without residual symptoms. There was a strong correlation between sleep disturbance and certain other symptoms such as fatigue, pain, anxiety, and cognitive complaints. Results were subjected to a Logistic Regression model using the Neuro-QoL Fatigue t-score together with Short Form-36 Physical Functioning scale and Mental Health component scores; and to a Decision Tree model using only the QoL Fatigue t-score. The Logistic Regression model had an accuracy of 97% and Decision Tree model had an accuracy of 93%, when compared with clinical categorization. The Logistic Regression and Decision Tree models were then applied to a separate cohort. Both models performed with high sensitivity (90%), but moderate specificity (62%). The overall accuracy was 74%. Agreement between 2 time points, separated by a mean of 4 months, was 89% using the Decision Tree model and 87% with the Logistic Regression model. These models are simple and can help to quantitate the level of symptom severity in post-treatment Lyme disease symptoms. More research is needed to increase the specificity of the models, exploring additional approaches that could potentially strengthen an operational definition for post-treatment Lyme disease symptoms. Evaluation of how sleep disturbance, fatigue, pain and cognitive complains interrelate can potentially lead to new interventions that will improve the overall health of these patients.

Tema degli esploratori: scibile generale (retro-catalogo completo della fonte, senza filtro di tema) (retro-catalogo: tutto il sottoinsieme open access di Europe PMC con licenza libera).
Pubblicazione: PloS one, 2019 (prima pubblicazione 2019-11-11).
Identificativi: PMID 31710647 · PMCID PMC6844481 · DOI 10.1371/journal.pone.0225012.
Descrittori MeSH principali: Biomedical Research.
Pagina: https://europepmc.org/article/MED/31710647 — https://doi.org/10.1371/journal.pone.0225012. Autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza dell'articolo dichiarata da Europe PMC: CC0 (la versione è indicata dall'editore sulla pagina). Abstract riportato senza modifiche al contenuto, con attribuzione; deposito marcato CC0.
Letto il 2026-11-10T02:33:24.802Z tramite l'API REST ufficiale di Europe PMC (EMBL-EBI), nel rispetto del robots.txt e del crawl-delay.