Summary In a case series, Johns Hopkins researchers used infrared thermography (IRT) to capture heat patterns associated with the erythema migrans (EM) rash and surrounding inflammation in early Lyme disease. […]
Summary Lyme disease is expanding geographically in the US. Johns Hopkins researchers utilized Google Health Trends data to analyze internet Lyme disease searches to identify geographic patterns over time to […]
Summary A Johns Hopkins study finds that patients with post treatment Lyme disease, particularly women and younger patients, are prone to illness invalidation from medical professionals. Patients who reported the […]
Summary This is the largest peer-reviewed prospective controlled study in the US that specifically focuses on the longer-term outcomes of early diagnosed and promptly treated Lyme disease patients. Results found […]
This study uses total RNA-sequencing of Lyme disease patients’ peripheral blood mononuclear cells. Using novel data analysis approaches, three unique groups of Lyme disease patients were identified, each with characteristic clinical and immunological features. Data from healthy controls and COVID-19 patients were included. Using machine learning classifiers, the study shows that Lyme patients can be distinguished from healthy controls as well as from COVID-19 patients.
Visual contrast sensitivity (CS) impairment in patients with post treatment Lyme disease (PTLD) is linked to signs of cognitive and neurologic impairment and may be a marker of illness severity.
