Browsing by Author "Peden, David B."

Now showing 1 - 3 of 3
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    PrecISE: Precision Medicine in Severe Asthma: An adaptive platform trial with biomarker ascertainment
    (Elsevier, 2021) Israel, Elliot; Denlinger, Loren C.; Bacharier, Leonard B.; LaVange, Lisa M.; Moore, Wendy C.; Peters, Michael C.; Georas, Steve N.; Wright, Rosalind J.; Mauger, David T.; Noel, Patricia; Akuthota, Praveen; Bach, Julia; Bleecker, Eugene R.; Cardet, Juan Carlos; Carr, Tara F.; Castro, Mario; Cinelli, Angeles; Comhair, Suzy A.A.; Covar, Ronina A.; Alexander, Laura Crotty; DiMango, Emily A.; Erzurum, Serpil C.; Fahy, John V.; Fajt, Merritt L.; Gaston, Benjamin M.; Hoffman, Eric A.; Holguin, Fernando; Jackson, Daniel J.; Jain, Sonia; Jarjour, Nizar N.; Ji, Yuan; Kenyon, Nicholas J.; Kosorok, Michael R.; Kraft, Monica; Krishnan, Jerry A.; Kumar, Rajesh; Liu, Andrew H.; Liu, Mark C.; Ly, Ngoc P.; Marquis, M. Alison; Martinez, Fernando D.; Moy, James N.; O’Neal, Wanda K.; Ortega, Victor E.; Peden, David B.; Phipatanakul, Wanda; Ross, Kristie; Smith, Lewis J.; Szefler, Stanley J.; Teague, W. Gerald; Tulchinsky, Abigail F.; Vijayanand, Pandurangan; Wechsler, Michael E.; Wenzel, Sally E.; White, Steven R.; Zeki, Amir A.; Ivanova, Anastasia; Pediatrics, School of Medicine
    Severe asthma accounts for almost half the cost associated with asthma. Severe asthma is driven by heterogeneous molecular mechanisms. Conventional clinical trial design often lacks the power and efficiency to target subgroups with specific pathobiological mechanisms. Furthermore, the validation and approval of new asthma therapies is a lengthy process. A large proportion of that time is taken by clinical trials to validate asthma interventions. The National Institutes of Health Precision Medicine in Severe and/or Exacerbation Prone Asthma (PrecISE) program was established with the goal of designing and executing a trial that uses adaptive design techniques to rapidly evaluate novel interventions in biomarker-defined subgroups of severe asthma, while seeking to refine these biomarker subgroups, and to identify early markers of response to therapy. The novel trial design is an adaptive platform trial conducted under a single master protocol that incorporates precision medicine components. Furthermore, it includes innovative applications of futility analysis, cross-over design with use of shared placebo groups, and early futility analysis to permit more rapid identification of effective interventions. The development and rationale behind the study design are described. The interventions chosen for the initial investigation and the criteria used to identify these interventions are enumerated. The biomarker-based adaptive design and analytic scheme are detailed as well as special considerations involved in the final trial design.
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    The Precision Interventions for Severe and/or Exacerbation-Prone (PrecISE) Asthma Network: an overview of Network organization, procedures and interventions
    (Elsevier, 2022-02) Georas, Steve N.; Wright, Rosalind J.; Ivanova, Anastasia; Israel, Elliot; LaVange, Lisa M.; Akuthota, Praveen; Carr, Tara F.; Denlinger, Loren C.; Fajt, Merritt L.; Kumar, Rajesh; O’Neal, Wanda K.; Phipatanakul, Wanda; Szefler, Stanley J.; Aronica, Mark A.; Bacharier, Leonard B.; Burbank, Allison J.; Castro, Mario; Alexander, Laura Crotty; Bamdad, Julie; Cardet, Juan Carlos; Comhair, Suzy A. A.; Covar, Ronina A.; DiMango, Emily A.; Erwin, Kim; Erzurum, Serpil C.; Fahy, John V.; Gaffin, Jonathan M.; Gaston, Benjamin; Gerald, Lynn B.; Hoffman, Eric A.; Holguin, Fernando; Jackson, Daniel J.; James, John; Jarjour, Nizar N.; Kenyon, Nicholas J.; Khatri, Sumita; Kirwan, John P.; Kraft, Monica; Krishnan, Jerry A.; Liu, Andrew H.; Liu, Mark C.; Marquis, M. Alison; Martinez, Fernando; Mey, Jacob; Moore, Wendy C.; Moy, James N.; Ortega, Victor E.; Peden, David B.; Pennington, Emily; Peters, Michael C.; Ross, Kristie; Sanchez, Maria; Smith, Lewis J.; Sorkness, Ronald L.; Wechsler, Michael E.; Wenzel, Sally E.; White, Steven R.; Zein, Joe; Zeki, Amir A.; Noel, Patricia; Pediatrics, School of Medicine
    Asthma is a heterogeneous disease, with multiple underlying inflammatory pathways and structural airway abnormalities that impact disease persistence and severity. Recent progress has been made in developing targeted asthma therapeutics, especially for subjects with eosinophilic asthma. However, there is an unmet need for new approaches to treat patients with severe and exacerbation prone asthma, who contribute disproportionately to disease burden. Extensive deep phenotyping has revealed the heterogeneous nature of severe asthma and identified distinct disease subtypes. A current challenge in the field is to translate new and emerging knowledge about different pathobiologic mechanisms in asthma into patient-specific therapies, with the ultimate goal of modifying the natural history of disease. Here we describe the Precision Interventions for Severe and/or Exacerbation Prone Asthma (PrecISE) Network, a groundbreaking collaborative effort of asthma researchers and biostatisticians from around the U.S. The PrecISE Network was designed to conduct phase II/proof of concept clinical trials of precision interventions in the severe asthma population, and is supported by the National Heart Lung and Blood Institute of the National Institutes of Health. Using an innovative adaptive platform trial design, the Network will evaluate up to six interventions simultaneously in biomarker-defined subgroups of subjects. We review the development and organizational structure of the Network, and choice of interventions being studied. We hope that the PrecISE Network will enhance our understanding of asthma subtypes and accelerate the development of therapeutics for of severe asthma.
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    Semantic integration of clinical laboratory tests from electronic health records for deep phenotyping and biomarker discovery
    (Springer Nature, 2019) Zhang, Xingmin Aaron; Yates, Amy; Vasilevsky, Nicole; Gourdine, J. P.; Callahan, Tiffany J.; Carmody, Leigh C.; Danis, Daniel; Joachimiak, Marcin P.; Ravanmehr, Vida; Pfaff, Emily R.; Champion, James; Robasky, Kimberly; Xu, Hao; Fecho, Karamarie; Walton, Nephi A.; Zhu, Richard L.; Ramsdill, Justin; Mungall, Christopher J.; Köhler, Sebastian; Haendel, Melissa A.; McDonald, Clement J.; Vreeman, Daniel J.; Peden, David B.; Bennett, Tellen D.; Feinstein, James A.; Martin, Blake; Stefanski, Adrianne L.; Hunter, Lawrence E.; Chute, Christopher G.; Robinson, Peter N.; Medicine, School of Medicine
    Electronic Health Record (EHR) systems typically define laboratory test results using the Laboratory Observation Identifier Names and Codes (LOINC) and can transmit them using Fast Healthcare Interoperability Resource (FHIR) standards. LOINC has not yet been semantically integrated with computational resources for phenotype analysis. Here, we provide a method for mapping LOINC-encoded laboratory test results transmitted in FHIR standards to Human Phenotype Ontology (HPO) terms. We annotated the medical implications of 2923 commonly used laboratory tests with HPO terms. Using these annotations, our software assesses laboratory test results and converts each result into an HPO term. We validated our approach with EHR data from 15,681 patients with respiratory complaints and identified known biomarkers for asthma. Finally, we provide a freely available SMART on FHIR application that can be used within EHR systems. Our approach allows readily available laboratory tests in EHR to be reused for deep phenotyping and exploits the hierarchical structure of HPO to integrate distinct tests that have comparable medical interpretations for association studies.