Lyme Carditis Identified by a Novel Syndromic Surveillance Definition, New York State, 2017-2021

Amy M Beeson1,2, Jennifer L White3, Abigail L Gates4

  • 1Bacterial Diseases Branch, Division of Vector-borne Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Fort Collins, CO, USA.

Insights

A new definition helps identify Lyme carditis cases in New York State. This tool can track changes in Lyme disease manifestations, aiding public health surveillance.

Area of Science:

  • Public Health
  • Infectious Disease Epidemiology
  • Syndromic Surveillance

Background:

  • Lyme carditis is a severe manifestation of Lyme disease.
  • Systematic data collection on Lyme carditis clinical features is lacking in the US.
  • A syndromic surveillance definition was needed to monitor Lyme carditis.

Purpose of the Study:

  • To develop and validate a syndromic surveillance definition for identifying Lyme carditis cases.
  • To characterize Lyme carditis cases in New York State (NYS) from 2017-2021.

Main Methods:

  • Utilized the National Syndromic Surveillance Program's BioSense Platform with diagnostic codes and keywords.
  • Reviewed medical records from NYS's regional health information exchange for case abstraction.
  • Physician reviewers independently confirmed case status and mapped geographic distribution.

Main Results:

  • Identified 82 confirmed or probable Lyme carditis cases out of 173 initial records (47% positive predictive value).
  • Cases occurred in 49% of NYS counties, peaking in July and August.
  • Affected individuals had a bimodal age distribution (peaks at ~32 and ~70 years), predominantly males (71%), with high rates of positive serology (84%) and AV block (67%).

Conclusions:

  • The developed definition is a valuable tool for detecting shifts in Lyme carditis patterns.
  • Effective for surveillance in regions with high Lyme disease incidence.
  • Highlights the utility of syndromic surveillance for monitoring specific disease manifestations.
Abstract

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