I recognize that every family and child is different, and when we ask families to provide so much care for complex patients, we need to factor in their beliefs and opinions.
Nathan M. Pajor, MD



As a pediatric pulmonologist, I care for children and adolescents with rare lung diseases and those with chronic respiratory failure who are dependent on a ventilator. I appreciate the deep commitment that families and providers have to children with complex chronic healthcare needs, and I share that commitment.

In my practice, I embrace a data-driven approach and try to identify a scientific or physiologic rationale for decision-making. At the same time, I recognize that every family and child is different, and when we ask families to provide so much care for complex patients, we need to factor in their beliefs and opinions. From a research perspective, I enjoy the challenge of finding solutions to improve the outcomes for my patients.

I received quality improvement training as a clinical fellow through the Quality Scholars Program in Healthcare Transformation at Cincinnati Children’s. I also completed a master's degree in clinical and translational research with a focus on data science and informatics. I am trying to merge these training experiences and interests in my research, which aims to improve care and outcomes for children on chronic ventilator support. I appreciate hearing about unexpected problems or challenges faced by the families of these children and potential solutions.

When I’m not at work, I enjoy spending time with my family. My wife is a physician at the University of Cincinnati, and we have two young daughters.

MD: Jefferson Medical College, Philadelphia, PA, 2012.

Residency: Pediatrics, Lurie Children’s/Northwestern University, Chicago, IL, 2015.

Chief Residency: Pediatrics, Lurie Children’s/Northwestern University, Chicago, IL, 2016.

Fellowship: Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 2019.

MS: Clinical and Translational Research, University of Cincinnati, Cincinnati, OH, 2019.


Pulmonary medicine; chronic respiratory failure; rare lung diseases

Services and Specialties

Pulmonary Medicine, Rare Lung Diseases


Chronic respiratory failure; machine learning; learning health systems; quality improvement

Research Areas

Biomedical Informatics

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Spectrum of severity of multisystem inflammatory syndrome in children: an EHR-based cohort study from the RECOVER program. Rao, S; Jing, N; Liu, X; Lorman, V; Maltenfort, M; Schuchard, J; Wu, Q; Tong, J; Razzaghi, H; Mejias, A; et al. Scientific Reports. 2023; 13:21005.

Association Between Hypertension and Diabetes Control and COVID-19 Severity: National Patient-Centered Clinical Research Network, United States, March 2020 to February 2022. Jackson, SL; Woodruff, RC; Nagavedu, K; Fearrington, J; Rolka, DB; Twentyman, E; Carton, TW; Puro, J; Denson, JL; Kappelman, MD; et al. Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease. 2023; 12:e030240.

Risk of post-acute sequelae of SARS-CoV-2 infection associated with pre-coronavirus disease obstructive sleep apnea diagnoses: an electronic health record-based analysis from the RECOVER initiative. Mandel, HL; Colleen, G; Abedian, S; Ammar, N; Bailey, LC; Bennett, TD; Brannock, MD; Brosnahan, SB; Chen, Y; Chute, CG; et al. Sleep. 2023; 46:zsad126.

A machine learning-based phenotype for long COVID in children: An EHR-based study from the RECOVER program. Lorman, V; Razzaghi, H; Song, X; Morse, K; Utidjian, L; Allen, AJ; Rao, S; Rogerson, C; Bennett, TD; Morizono, H; et al. PloS one. 2023; 18:e0289774.

Impact of SARS-CoV-2 Infection on Disease Trajectory in Youth with T1D: An EHR-Based Cohort Study from the RECOVER Program. Prahalad, P; Lorman, V; Wu, Q; Razzaghi, H; Chen, Y; Pajor, N; Case, A; Bose-Brill, S; Block, J; Patel, PB; et al. Pediatric Diabetes. 2023; 2023:1-10.

Development of a Definition of Postacute Sequelae of SARS-CoV-2 Infection. Thaweethai, T; Jolley, SE; Karlson, EW; Levitan, EB; Levy, B; McComsey, GA; McCorkell, L; Nadkarni, GN; Parthasarathy, S; Singh, U; et al. Journal of the American Medical Association. 2023; 329:1934-1946.

Leveraging Serologic Testing to Identify Children at Risk For Post-Acute Sequelae of SARS-CoV-2 Infection: An Electronic Health Record-Based Cohort Study from the RECOVER Program. Mejias, A; Schuchard, J; Rao, S; Bennett, TD; Jhaveri, R; Thacker, D; Bailey, LC; Christakis, DA; Pajor, NM; Razzaghi, H; et al. The Journal of Pediatrics. 2023; 257:113358.

Understanding pediatric long COVID using a tree-based scan statistic approach: an EHR-based cohort study from the RECOVER Program. Lorman, V; Rao, S; Jhaveri, R; Case, A; Mejias, A; Pajor, NM; Patel, P; Thacker, D; Bose-Brill, S; Block, J; et al. JAMIA Open. 2023; 6:ooad016.

Standardizing electronic health record ventilation data in the pediatric long-term mechanical ventilator-dependent population. Kanbar, LJ; Dexheimer, JW; Zahner, J; Burrows, EK; Chatburn, R; Messinger, A; Baker, CD; Schuler, CL; Benscoter, D; Amin, R; et al. Pediatric Pulmonology. 2023; 58:433-440.

Pediatric Nirmatrelvir/Ritonavir Prescribing Patterns During the COVID-19 Pandemic. Bose-Brill, S; Hirabayashi, K; Pajor, NM; Rao, S; Mejias, A; Jhaveri, R; Forrest, CB; Bailey, C; Christakis, DA; Thacker, D; et al. 2022; 4:2022.12.23.22283868.

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Nathan Pajor, MD, Tracy A. Glauser, MD ...11/23/2020

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