Funded Projects

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Project # Project Title Research Focus Area Research Program Administering IC Institution(s) Investigator(s) Location(s) Year Awarded
3R01NR015642-04S1
SEVERE PAIN DURING WOUND CARE PROCEDURES: MODEL AND MECHANISMS Clinical Research in Pain Management NINR University of Iowa GARDNER, SUE E Iowa City, IA 2018
NOFO Title: Chronic Wounds: Advancing the Science from Prevention to Healing (R01)
NOFO Number: RFA-NR-15-001
Summary:

Wound care procedures (WCPs), such as dressing changes, cause moderate to severe pain in 74% of patients, nearly half of whom experience severe pain. Mainstay recommendations to prevent pain during WCPs have focused on either administration of preventive and procedural analgesia or use of expensive, non-adherent dressings. However, it is unclear which patients to target for analgesia or expensive dressings, leading to their inappropriate over- or underuse. To achieve the aims of the study, a comprehensive set of wound, patient, and biological factors will be measured concurrently with pain during a dressing change among a sample of 450 inpatients with open wounds. A predictive model will be developed and biological mechanisms will be examined using logistic regression. The proposed study has the potential to make significant contributions because clinicians will be able to target those patients requiring preventive pain control, thereby eliminating the spiraling impact of painful procedures on nociceptor sensitization.
3R01LM010685-09S1
BEYOND PHEWAS: RECOGNITION OF PHENOTYPE PATTERNS FOR DISCOVERY AND TRANSLATION - ADMINISTRATIVE SUPPLEMENT Preclinical and Translational Research in Pain Management NLM VANDERBILT UNIVERSITY MEDICAL CENTER Denny, Joshua C. NASHVILLE, TN 2018
NOFO Title: Administrative Supplements to Existing NIH Grants and Cooperative Agreements (Parent Admin Supp Clinical Trial Optional)
NOFO Number: PA-18-591
Summary:

Genomic medicine offers hope for improved diagnostic methods and for more effective, patient-specific therapies. Genome-wide associated studies (GWAS) elucidate genetic markers that improve clinical understanding of risks and mechanisms for many diseases and conditions and that may ultimately guide diagnosis and therapy on a patient-specific basis. Previous phenome-wide association studies (PheWAS) established a systematic and efficient approach to identifying novel disease-variant associations and discovering pleiotropy using electronic health records (EHRs). This proposal will develop novel methods to identify associations based on patterns of phenotypes using a phenotype risk score (PheRS) methodology to systematically search for the influence of Mendelian disease variants on common disease. By doing so, it also creates a way to assess pathogenicity for rare variants and will identify patients at highest risk of having undiagnosed Mendelian disease. The project is enabled by large DNA biobanks coupled to de-identified copies of EHR.