Research

@article{hurley2026criterion,
  author  = {Hurley, Robert W. and Guth, Daniel and Hill, Elaine L. and Adams, Meredith C. B.},
  title   = {Criterion validity and divergent risk profiles of long-term opioid therapy across {Medicare} and {Medicaid}},
  journal = {PLOS ONE},
  volume  = {21},
  number  = {4},
  pages   = {e0347943},
  year    = {2026},
  doi     = {10.1371/journal.pone.0347943}
}

@article{hurley2026oudframework,
  author  = {Hurley, Robert W. and Bland, Khadijah T. and Chaskes, Mira D. and Guth, Daniel and Hill, Elaine L. and Adams, Meredith C. B.},
  title   = {Evidence-based framework for identifying opioid use disorder in administrative data: a systematic review and methodological development study},
  journal = {Pain Medicine},
  volume  = {27},
  number  = {2},
  pages   = {145--159},
  year    = {2026},
  doi     = {10.1093/pm/pnaf116}
}

Pregnancy alters immune responses and clinical manifestations of COVID-19, but its impact on Long COVID remains uncertain. This study investigated Long COVID risk in individuals with SARS-CoV-2 infection during pregnancy compared to reproductive-age females infected outside of pregnancy. A retrospective analysis of two U.S. databases, the National Patient-Centered Clinical Research Network (PCORnet) and the National COVID Cohort Collaborative (N3C), identified 29,975 pregnant individuals (aged 18–50) with SARS-CoV-2 infection in pregnancy from PCORnet and 42,176 from N3C between March 2020 and June 2023. At 180 days after infection, estimated Long COVID risks for those infected during pregnancy were 16.47 per 100 persons (95% CI, 16.00–16.95) in PCORnet using the PCORnet computational phenotype (CP) model and 4.37 per 100 persons (95% CI, 4.18–4.57) in N3C using the N3C CP model. Compared to matched non-pregnant individuals, the adjusted hazard ratios for Long COVID were 0.86 (95% CI, 0.83–0.90) in PCORnet and 0.70 (95% CI, 0.66–0.74) in N3C. The observed risk factors for Long COVID included Black race/ethnicity, advanced maternal age, first- and second-trimester infection, obesity, and comorbid conditions. While the findings suggest a high incidence of Long COVID among pregnant individuals, their risk was lower than that of matched non-pregnant females.

@article{zang2025longcovid,
  author  = {Zang, Chengxi and Guth, Daniel and Bruno, Ann M. and others},
  title   = {Long {COVID} after {SARS-CoV-2} during pregnancy in the {United States}},
  journal = {Nature Communications},
  volume  = {16},
  pages   = {3005},
  year    = {2025},
  doi     = {10.1038/s41467-025-57849-9}
}

@article{guth2025glaucomacosts,
  author  = {Guth, Daniel and Apolo, Galo and Seabury, Seth A. and Lung, Khristina and Toy, Brian and Xu, Benjamin Y.},
  title   = {Longitudinal trends in resource utilization associated with newly diagnosed primary angle closure glaucoma in the {United States}},
  journal = {Journal of Glaucoma},
  year    = {2025},
  doi     = {10.1097/IJG.0000000000002612}
}

@article{chiang2021angleclosure,
  author  = {Chiang, Michael and Guth, Daniel and Pardeshi, Anmol and Randhawa, Jasmeen and Shen, Alice and Shan, Meghan and Dredge, Justin and Nguyen, Annie and Gokoffski, Kimberly and Wong, Brandon and Song, Brian and Lin, Shan and Varma, Rohit and Xu, Benjamin Y.},
  title   = {Glaucoma expert-level detection of angle closure in goniophotographs with convolutional neural networks: the {Chinese American Eye Study}},
  journal = {American Journal of Ophthalmology},
  volume  = {226},
  pages   = {100--107},
  year    = {2021},
  doi     = {10.1016/j.ajo.2021.02.004}
}

@article{port2018topology,
  author  = {Port, Alexander and Gheorghita, Iulia and Guth, Daniel and Clark, John M. and Liang, Crystal and Dasu, Shival and Marcolli, Matilde},
  title   = {Persistent topology of syntax},
  journal = {Mathematics in Computer Science},
  volume  = {12},
  number  = {1},
  pages   = {33--50},
  year    = {2018},
  doi     = {10.1007/s11786-017-0329-x}
}