Hager, David N.
Johns Hopkins University
16 papers on CoChatORCID 0000-0002-5148-4872
Most cited papers
- Verified
Symptom Duration and Risk Factors for Delayed Return to Usual Health Among Outpatients with COVID-19 in a Multistate Health Care Systems Network — United States, March–June 2020
Tenforde, M. W., Kim, S. S., Lindsell, C. J., Billig Rose, E., Shapiro, N. I., Files, D. C., Gibbs, K. W., Erickson, H. L., Steingrub, J. S., Smithline, H. A., et al. (2020) · MMWR. Morbidity and Mortality Weekly Report
Long-Term Effects of COVID-19COVID-19 Clinical Research Studies
Cited by 1,319
- Verified
Clinical severity of, and effectiveness of mRNA vaccines against, covid-19 from omicron, delta, and alpha SARS-CoV-2 variants in the United States: prospective observational study
Lauring, A. S., Tenforde, M. W., Chappell, J. D., Gaglani, M., Ginde, A. A., McNeal, T., Ghamande, S., Douin, D. J., Talbot, H. K., Casey, J. D., et al. (2022) · BMJ
SARS-CoV-2 and COVID-19 ResearchCOVID-19 Clinical Research Studies
Cited by 656
- Verified
Association Between mRNA Vaccination and COVID-19 Hospitalization and Disease Severity
Tenforde, M. W., Self, W. H., Adams, K., Gaglani, M., Ginde, A. A., McNeal, T., Ghamande, S., Douin, D. J., Talbot, H. K., Casey, J. D., et al. (2021) · JAMA
SARS-CoV-2 and COVID-19 ResearchCOVID-19 Clinical Research Studies
Cited by 633
- Verified
A targeted real-time early warning score (TREWScore) for septic shock.
Henry, K. E., Hager, D. N., Pronovost, P. J., & Saria, S. (2015) · Science Translational Medicine
Sepsis Diagnosis and TreatmentAcute Kidney Injury Research
Cited by 598
- Verified
Tidal Volume Reduction in Patients with Acute Lung Injury When Plateau Pressures Are Not High
Hager, D. N., Krishnan, J. A., Hayden, D. L., & Brower, R. G. (2005) · American Journal of Respiratory and Critical Care Medicine
Respiratory Support and MechanismsNeonatal Respiratory Health Research
Cited by 509
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Comparative Effectiveness of Moderna, Pfizer-BioNTech, and Janssen (Johnson & Johnson) Vaccines in Preventing COVID-19 Hospitalizations Among Adults Without Immunocompromising Conditions — United States, March–August 2021
Self, W. H., Tenforde, M. W., Rhoads, J. P., Gaglani, M., Ginde, A. A., Douin, D. J., Olson, S. M., Talbot, H. K., Casey, J. D., Mohr, N. M., et al. (2021) · MMWR. Morbidity and Mortality Weekly Report
SARS-CoV-2 and COVID-19 ResearchVaccine Coverage and Hesitancy
Cited by 406
- Verified
Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis
Adams, R., Henry, K. E., Sridharan, A., Soleimani, H., Zhan, A., Rawat, N., Johnson, L., Hager, D. N., Cosgrove, S. E., Markowski, A., et al. (2022) · Nature Medicine
Sepsis Diagnosis and TreatmentMachine Learning in Healthcare
Cited by 365
- Verified
Sustained Effectiveness of Pfizer-BioNTech and Moderna Vaccines Against COVID-19 Associated Hospitalizations Among Adults — United States, March–July 2021
Tenforde, M. W., Self, W. H., Naioti, E. A., Ginde, A. A., Douin, D. J., Olson, S. M., Talbot, H. K., Casey, J. D., Mohr, N. M., Zepeski, A., et al. (2021) · MMWR. Morbidity and Mortality Weekly Report
SARS-CoV-2 and COVID-19 ResearchVaccine Coverage and Hesitancy
Cited by 204
- Verified
Effectiveness of mRNA Vaccination in Preventing COVID-19–Associated Invasive Mechanical Ventilation and Death — United States, March 2021–January 2022
Tenforde, M. W., Self, W. H., Gaglani, M., Ginde, A. A., Douin, D. J., Talbot, H. K., Casey, J. D., Mohr, N. M., Zepeski, A., McNeal, T., et al. (2022) · MMWR. Morbidity and Mortality Weekly Report
SARS-CoV-2 and COVID-19 ResearchCOVID-19 Clinical Research Studies
Cited by 170
- Verified
Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing
Henry, K. E., Adams, R., Parent, C., Soleimani, H., Sridharan, A., Johnson, L., Hager, D. N., Cosgrove, S. E., Markowski, A., Klein, E. Y., et al. (2022) · Nature Medicine
Sepsis Diagnosis and TreatmentElectronic Health Records Systems
Cited by 144
- Verified
An Electronic Emergency Triage System to Improve Patient Distribution by Critical Outcomes
Dugas, A. F., Kirsch, T. D., Toerper, M., Korley, F., Yenokyan, G., France, D., Hager, D., & Levin, S. (2016) · The Journal of Emergency Medicine
Emergency and Acute Care StudiesTrauma and Emergency Care Studies
Cited by 132
- Verified
Vaccine effectiveness of primary series and booster doses against covid-19 associated hospital admissions in the United States: living test negative design study
Adams, K., Rhoads, J. P., Surie, D., Gaglani, M., Ginde, A. A., McNeal, T., Talbot, H. K., Casey, J. D., Zepeski, A., Shapiro, N. I., et al. (2022) · BMJ
SARS-CoV-2 and COVID-19 ResearchVaccine Coverage and Hesitancy
Cited by 115
- Verified
Effectiveness of Monovalent mRNA Vaccines Against COVID-19–Associated Hospitalization Among Immunocompetent Adults During BA.1/BA.2 and BA.4/BA.5 Predominant Periods of SARS-CoV-2 Omicron Variant in the United States — IVY Network, 18 States, December 26, 2021–August 31, 2022
Surie, D., Bonnell, L., Adams, K., Gaglani, M., Ginde, A. A., Douin, D. J., Talbot, H. K., Casey, J. D., Mohr, N. M., Zepeski, A., et al. (2022) · MMWR. Morbidity and Mortality Weekly Report
SARS-CoV-2 and COVID-19 ResearchCOVID-19 epidemiological studies
Cited by 59
- Verified
Renin-Angiotensin System Modulation With Synthetic Angiotensin (1-7) and Angiotensin II Type 1 Receptor–Biased Ligand in Adults With COVID-19: Two Randomized Clinical Trials
Self, W. H., Shotwell, M. S., Gibbs, K. W., de Wit, M., Files, D. C., Harkins, M., Hudock, K. M., Merck, L. H., Moskowitz, A., Apodaca, K. D., et al. (2023) · JAMA
Renin-Angiotensin System StudiesCOVID-19 Clinical Research Studies
Cited by 52
- Verified
Multisite implementation of a workflow-integrated machine learning system to optimize COVID-19 hospital admission decisions
Hinson, J. S., Klein, E., Smith, A., Toerper, M., Dungarani, T., Hager, D., Hill, P., Kelen, G., Niforatos, J. D., Stephens, R. S., et al. (2022) · npj Digital Medicine
Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education
Cited by 30
- Verified
Comparison of automated sepsis identification methods and electronic health record-based sepsis phenotyping: improving case identification accuracy by accounting for confounding comorbid conditions.
Henry, K. E., Hager, D. N., Osborn, T. M., Wu, A. W., & Saria, S. (2019) · Critical Care Explorations
Sepsis Diagnosis and TreatmentMachine Learning in Healthcare
Cited by 22
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