Volume 29, Number 9—September 2023
Research
Validation of Claims-Based Algorithm for Lyme Disease, Massachusetts, USA
Table 1
Classification | Definitions† |
---|---|
Confirmed |
Erythema migrans with known exposure in a high-incidence state (e.g., Massachusetts), erythema migrans with known exposure in a low-incidence state and laboratory-confirmed Lyme disease, or >1 late manifestation of Lyme disease and laboratory-confirmed Lyme disease |
Probable |
Diagnosis of Lyme disease in clinical notes and laboratory-confirmed Lyme disease but no evidence of erythema migrans and no eligible late manifestations of disease |
Suspected | Diagnosis of Lyme disease in clinical notes and antimicrobial drugs ordered by healthcare provider to treat Lyme disease but no laboratory confirmation, no evidence of erythema migrans, and no eligible late manifestations of Lyme disease; or erythema migrans with no known exposure, no laboratory confirmation, and no eligible late manifestations of Lyme disease |
*Definitions were based on the 2017 Council of State and Territorial Epidemiologists case definitions (15). †Laboratory-confirmed Lyme disease was indicated by positive Lyme cultures, PCR, or 2-tiered tests. For a positive 2-tiered test, if the patient experienced signs or symptoms for <30 d before a positive or equivocal enzyme immunoassay or immunofluorescence assay, they must have a positive IgG or IgM Western blot result; if the patient has experienced signs or symptoms for >30 d before a positive or equivocal enzyme immunoassay or immunofluorescence assay, they must have a positive IgG Western blot result (a positive IgM Western blot result does not confirm Lyme disease in this scenario). Late manifestations of Lyme disease include musculoskeletal involvement defined as inflammatory arthritis or recurrent and brief attacks of swelling in >1 joint that lasts for several weeks or months; nervous system involvement defined as lymphocytic meningitis, cranial neuritis, radiculoneuropathy, or encephalomyelitis (headache, fatigue, paresthesia, or mildly stiff neck alone did not meet criteria for neurologic involvement); or cardiovascular involvement defined as acute onset of high-grade atrioventricular conduction defects that resolve in days to weeks, such as complete heart block, third degree heart block, or high-grade atrioventricular block (palpitations, bradycardia, bundle branch block, or myocarditis alone did not meet criteria for cardiovascular involvement).
References
- Schwartz AM, Hinckley AF, Mead PS, Hook SA, Kugeler KJ. Surveillance for Lyme disease—United States, 2008–2015. MMWR Surveill Summ. 2017;66:1–12. DOIPubMedGoogle Scholar
- Hook SA, Jeon S, Niesobecki SA, Hansen AP, Meek JI, Bjork JKH, et al. Economic burden of reported Lyme disease in high-incidence areas, United States, 2014–2016. Emerg Infect Dis. 2022;28:1170–9. DOIPubMedGoogle Scholar
- Schwartz AM, Shankar MB, Kugeler KJ, Max RJ, Hinckley AF, Meltzer MI, et al. Epidemiology and cost of Lyme disease-related hospitalizations among patients with employer-sponsored health insurance-United States, 2005-2014. Zoonoses Public Health. 2020;67:407–15. DOIPubMedGoogle Scholar
- Adrion ER, Aucott J, Lemke KW, Weiner JP. Health care costs, utilization and patterns of care following Lyme disease. PLoS One. 2015;10:
e0116767 . DOIPubMedGoogle Scholar - Centers for Disease Control and Prevention. Lyme disease. Data and surveillance [cited 2022 Sep 13]. https://www.cdc.gov/lyme/datasurveillance/index.html
- Bjork J, Brown C, Friedlander H, Schiffman E, Neitzel D. Validation of random sampling as an estimation procedure for Lyme disease surveillance in Massachusetts and Minnesota. Zoonoses Public Health. 2018;65:266–74. DOIPubMedGoogle Scholar
- Lukacik G, White J, Noonan-Toly C, DiDonato C, Backenson PB. Lyme disease surveillance using sampling estimation: evaluation of an alternative methodology in New York state. Zoonoses Public Health. 2018;65:260–5. DOIPubMedGoogle Scholar
- Moon KA, Pollak J, Hirsch AG, Aucott JN, Nordberg C, Heaney CD, et al. Epidemiology of Lyme disease in Pennsylvania 2006-2014 using electronic health records. Ticks Tick Borne Dis. 2019;10:241–50. DOIPubMedGoogle Scholar
- Nelson CA, Saha S, Kugeler KJ, Delorey MJ, Shankar MB, Hinckley AF, et al. Incidence of clinician-diagnosed Lyme disease, United States, 2005–2010. Emerg Infect Dis. 2015;21:1625–31. DOIPubMedGoogle Scholar
- Schwartz AM, Kugeler KJ, Nelson CA, Marx GE, Hinckley AF. Use of commercial claims data for evaluating trends in Lyme disease diagnoses, United States, 2010–2018. Emerg Infect Dis. 2021;27:499–507. DOIPubMedGoogle Scholar
- Nam YH, Willis SJ, Mendelsohn AB, Forrow S, Gessner BD, Stark JH, et al. Healthcare claims-based Lyme disease case-finding algorithms in the United States: A systematic literature review. PLoS One. 2022;17:
e0276299 . DOIPubMedGoogle Scholar - Center for Health Information and Analysis. Hospital health systems [cited 2023 Apr 6]. https://www.chiamass.gov/hospital-health-systems
- Lantos PM, Rumbaugh J, Bockenstedt LK, Falck-Ytter YT, Aguero-Rosenfeld ME, Auwaerter PG, et al. Clinical practice guidelines by the Infectious Diseases Society of America (IDSA), American Academy of Neurology (AAN), and American College of Rheumatology (ACR): 2020 guidelines for the prevention, diagnosis and treatment of Lyme disease. Clin Infect Dis. 2021;72:e1–48. DOIPubMedGoogle Scholar
- Hallgren KA. Computing inter-rater reliability for observational data: an overview and tutorial. Tutor Quant Methods Psychol. 2012;8:23–34. DOIPubMedGoogle Scholar
- Centers for Disease Control and Prevention. Lyme disease (Borrelia burgdorferi) 2017 case definition [cited 2022 Oct 5]. https://ndc.services.cdc.gov/case-definitions/lyme-disease-2017
- Clopper CJ, Pearson ES. The use of confidence or fiducial limits illustrated in the case of the binomial. Biometrika. 1934;26:404–13. DOIGoogle Scholar
- Kugeler KJ, Schwartz AM, Delorey MJ, Mead PS, Hinckley AF. Estimating the frequency of Lyme disease diagnoses, United States, 2010–2018. Emerg Infect Dis. 2021;27:616–9. DOIPubMedGoogle Scholar
- Tseng YJ, Cami A, Goldmann DA, DeMaria A Jr, Mandl KD. Incidence and patterns of extended-course antibiotic therapy in patients evaluated for Lyme disease. Clin Infect Dis. 2015;61:1536–42. DOIPubMedGoogle Scholar
- Kwit NA, Nelson CA, Max R, Mead PS. Risk factors for clinician-diagnosed Lyme arthritis, facial palsy, carditis, and meningitis in patients from high-incidence states. Open Forum Infect Dis. 2017;5:
ofx254 . DOIPubMedGoogle Scholar - Ertel SH, Nelson RS, Cartter ML. Effect of surveillance method on reported characteristics of Lyme disease, Connecticut, 1996-2007. Emerg Infect Dis. 2012;18:242–7. DOIPubMedGoogle Scholar
- Rutz H, Hogan B, Hook S, Hinckley A, Feldman K. Exploring an alternative approach to Lyme disease surveillance in Maryland. Zoonoses Public Health. 2018;65:254–9. DOIPubMedGoogle Scholar
- Epstein MM, Dutcher SK, Maro JC, Saphirak C, DeLuccia S, Ramanathan M, et al. Validation of an electronic algorithm for Hodgkin and non-Hodgkin lymphoma in ICD-10-CM. Pharmacoepidemiol Drug Saf. 2021;30:910–7. DOIPubMedGoogle Scholar
- Ammann EM, Leira EC, Winiecki SK, Nagaraja N, Dandapat S, Carnahan RM, et al. Chart validation of inpatient ICD-9-CM administrative diagnosis codes for ischemic stroke among IGIV users in the Sentinel Distributed Database. Medicine (Baltimore). 2017;96:
e9440 . DOIPubMedGoogle Scholar - Lo Re V III, Carbonari DM, Jacob J, Short WR, Leonard CE, Lyons JG, et al. Validity of ICD-10-CM diagnoses to identify hospitalizations for serious infections among patients treated with biologic therapies. Pharmacoepidemiol Drug Saf. 2021;30:899–909. DOIPubMedGoogle Scholar
- Clayton JL, Jones SG, Dunn JR, Schaffner W, Jones TF. Enhancing Lyme disease surveillance by using administrative claims data, Tennessee, USA. Emerg Infect Dis. 2015;21:1632–4. DOIPubMedGoogle Scholar