Background Lyme disease (LD) is the fifth most reported notifiable disease in the US, but the true disease burden remains unknown due to inconsistent reporting. Claims-based algorithms estimate a ≥10-fold higher incidence compared to notifiable-disease surveillance, but these algorithms are unvalidated. Methods We evaluated a claims-based LD algorithm based on ICD codes (ICD-9-CM 088.81 or ICD-10-CM A69.2X) and a ≥7-day course of an antibiotic used to treat LD dispensed ±30 days of diagnosis. We applied the LD algorithm to Harvard Pilgrim Health Care (HPHC) claims data for Massachusetts (MA) residents. We sought health records for patients who met the algorithm between Jan 2015 and June 2019 and received care within the Massachusetts General Brigham (MGB) system at diagnosis. Three clinicians received training on case classification and conducted chart abstractions and adjudications. Cases were classified as confirmed, probable, suspect, or ruled out using 2017 CDC case definitions. To assess inter-rater reliability, the clinicians abstracted and adjudicated the same 20 charts; we computed the mean of kappa for each clinician-pair. We calculated the positive predictive value (PPV) of the algorithm for identifying confirmed, probable, or suspect LD cases, all of which required at least erythema migrans (EM) or clinical diagnosis with confirmatory serology and antibiotics prescription. Results We identified 11,823 HPHC members who met the LD algorithm. Of these members, 171 cases occurred within the study period among MGB patients; we obtained 128 (75%) patients’ charts for review. The average weighted kappa statistic of adjudicator agreement was 0.94. Of the reviewed charts, 103 (80.5%) were adults ≥ 18 years old. 71 patients (55.5%) were clinically diagnosed with LD, among whom 62 (48.4%) presented with EM rash. 24 reviewed cases (18.8%) had laboratory-confirmed LD. LD was ruled out for 8 cases. The overall algorithm PPV was 93.8% (95% CI 89.6-97.9%). Limited to confirmed and probable cases only, the PPV was 66.4% (95% CI 57.5-74.5%). Conclusion A claims-based algorithm combining diagnosis codes and antibiotic prescriptions identified LD cases in MA with high PPV. This algorithm could be used to describe the incidence of LD in regions with similar diagnostic, treatment, and coding practices. Disclosures Sheryl A. Kluberg, PhD, SM, GlaxoSmithKline: Grant/Research Support|Pfizer, Inc.: Support for the project described in the abstract Sarah J. Willis, PhD, MPH, Pfizer: Employment|Pfizer: Conducted Pfizer funded research while employed by Harvard Pilgrim Health Care Institute Noelle M. Cocoros, DSc, MPH, Pfizer: PI on study Bradford J. Gessner, M.D., M.P.H., Pfizer Inc.: Employee|Pfizer Inc.: Stocks/Bonds Sarah J. Pugh, PhD, MPH, Pfizer, Inc: Employee|Pfizer, Inc: Stocks/Bonds James H. Stark, PhD, Pfizer: Employee|Pfizer: Stocks/Bonds Chanu Rhee, MD, MPH, Cytovale: Advisor/Consultant|Pfizer: Advisor/Consultant|UpToDate, Inc.: Royalties.

Background Maternal vaccines to prevent respiratory syncytial virus (RSV) among infants are in development. Uptake of existing maternal vaccines can be used to predict uptake of future maternal RSV vaccines and may be used to inform vaccine policy decisions. Previous reports of maternal vaccination rates do not estimate vaccine uptake by gestational week (wGA) of pregnancy, which is needed for precise estimation of vaccine impact. This study estimated the uptake of maternal Tdap vaccination overall and by wGA in a large electronic health records (EHR) database representing both privately and publicly insured patients over a recent 5-year period. Methods We identified pregnant women aged 15 – 44 years who had a live birth delivery between 01/01/2017 – 9/29/2021 in the Optum EHR database. Continuous activity for 6 months pre-conception through 1 day after delivery were required. Patients with >1 type of pregnancy outcome within 7 days and/or unidentifiable wGA were excluded. We utilized recently published gestational age algorithms to estimate the uptake of maternal Tdap vaccination overall and by wGA of pregnancy. Results were reported by year. Results The population included 1,056,488 live births among 919,510 pregnant women during the study period. The average age at delivery was 29.7 years (SD: 5.6), 72% were white, 82% were non-Hispanic; 58% had private insurance, and 38% had Medicaid. Overall, 56% of the pregnancies included a Tdap vaccine during their pregnancy. Among vaccinated pregnancies, the majority (68%) of Tdap vaccines were administered during the first 6 weeks of the recommended 10-week vaccination window (CDC recommends Tdap vaccination from 27-36 wGA) (Table). Table.Timing of Maternal Tdap Vaccination among Pregnant Women, by Year Conclusion In this analysis using a large EHR database, the overall uptake of maternal Tdap vaccination was consistent with previously published estimates. Notably, the majority of Tdap vaccination occurred during the earliest weeks of the recommended vaccination period. These results may have important implications for estimating potential impact of future maternal vaccines. Disclosures Amy W. Law, PharmD, Pfizer: Employment|Pfizer: Stocks/Bonds Jennifer Judy, MS, PhD, Pfizer Inc: Employee|Pfizer Inc: Stocks/Bonds Sarah J. Willis, PhD, MPH, Pfizer: Pfizer supported research at Harvard Pilgrim Health Care Institute (paid to Institute)|Pfizer: Employment Kimberly M. Shea, Ph.D., M.P.H., Pfizer: Employee|Pfizer: Stocks/Bonds.