Unusual onset of Lyme borreliosis simulating herpes zoster

Trevisan, Giusto; Stinco, Giuseppe; Cattonar, P; Nobile, Carla

doi:10.1111/j.1468-3083.1995.tb00357.x

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…In a near future, AI tools will reach new heights, and increase the accuracy and velocity of LB clinical diagnosis. For example, studies showed that deep learning, based on a dataset of medical images, which allows the discrimination of EM from ambiguous skin manifestations such as cellulitis or herpes zoster (which can be simulated by LD [ 201 ]), can help clinicians with early diagnosis and reduce further complications [ 202 , 203 ].…”

Section: Artificial Intelligence (Ai) Advent In Diagnosismentioning

confidence: 99%

Lyme borreliosis diagnosis: state of the art of improvements and innovations

Guérin,

Shawky,

Zedan

et al. 2023

BMC Microbiol

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With almost 700 000 estimated cases each year in the United States and Europe, Lyme borreliosis (LB), also called Lyme disease, is the most common tick-borne illness in the world. Transmitted by ticks of the genus Ixodes and caused by bacteria Borrelia burgdorferi sensu lato, LB occurs with various symptoms, such as erythema migrans, which is characteristic, whereas others involve blurred clinical features such as fatigue, headaches, arthralgia, and myalgia. The diagnosis of Lyme borreliosis, based on a standard two-tiered serology, is the subject of many debates and controversies, since it relies on an indirect approach which suffers from a low sensitivity depending on the stage of the disease. Above all, early detection of the disease raises some issues. Inappropriate diagnosis of Lyme borreliosis leads to therapeutic wandering, inducing potential chronic infection with a strong antibody response that fails to clear the infection. Early and proper detection of Lyme disease is essential to propose an adequate treatment to patients and avoid the persistence of the pathogen. This review presents the available tests, with an emphasis on the improvements of the current diagnosis, the innovative methods and ideas which, ultimately, will allow more precise detection of LB.

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Section: Artificial Intelligence (Ai) Advent In Diagnosismentioning

confidence: 99%

Lyme borreliosis diagnosis: state of the art of improvements and innovations

Guérin,

Shawky,

Zedan

et al. 2023

BMC Microbiol

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“…Nevertheless, the clinical presentation of an EM can vary considerably (23). Several clinical variations have been observed, such as smaller-sized-EM of about the size of a coin, oval shaped EM with no darker outline, red-violet EM (erysipeloid), EM with vesicles which mimics herpes simplex or herpes zoster (24), painful EM (burning), itchy EM, hidden EM (scalp), and EM with atrophic evolution (25). It has been shown that in some cases of EM, Borrelia infection can already be disseminated (26).…”

Section: Erythema Migrans (Em)mentioning

confidence: 99%

A Practical Approach to the Diagnosis of Lyme Borreliosis: From Clinical Heterogeneity to Laboratory Methods

2020

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Clinical evaluation of Lyme Borreliosis (LB) is the starting point for its diagnosis. The patient's medical history and clinical symptoms are fundamental for disease recognition. The heterogeneity in clinical manifestations of LB can be related to different causes, including the different strains of Borrelia, possible co-infection with other tick transmitted pathogens, and its interactions with the human host. This review aims at describing the heterogeneous symptoms of Lyme Borreliosis, as well as offering a practical approach for recognition of the disease, both in terms of clinical features and diagnostic/research tools.

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Unusual onset of Lyme borreliosis simulating herpes zoster

Cited by 2 publications

References 6 publications

Lyme borreliosis diagnosis: state of the art of improvements and innovations

Lyme borreliosis diagnosis: state of the art of improvements and innovations

A Practical Approach to the Diagnosis of Lyme Borreliosis: From Clinical Heterogeneity to Laboratory Methods

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