Notice Number: NOT-RM-19-005
Release Date: March 26, 2019
Response Date: June 01, 2019
Office of Strategic Coordination (Common Fund)
The NIH Common Fund Acute to Chronic Pain Signature (A2CPS) program will use advances in imaging, high-throughput biomedical experiments (‘omics), sensory testing, and psychosocial assessments to explore a range of characteristics from patients who transition or are resilient to developing chronic pain. The studies will collect characteristics of patients from the time of an acute pain event over a period of six months as they recover or develop chronic pain. The key deliverable of the program is a comprehensive data set of objective measures which could be combined to provide “signatures” predictive of transition and resilience to chronic pain.
The A2CPS Program will explore a set of objective biomarkers that in combination can provide a “signature” to predict transition from acute to chronic pain and a signature to predict resilience to chronic pain. The ultimate goals of the program are to accelerate therapy development through identification of predictive biomarkers and to guide chronic pain preventive strategies. These biomarkers are needed urgently to better treat the significant number of people who transition from acute to chronic pain after an acute pain event. The final candidate biomarkers for the program will be determined by A2CPS awardees, NIH staff, and external experts during the planning year of the program, based on information from the literature, preliminary data from the awardees, input from experts, and feedback from the scientific community through this RFI.
This Request for Information (RFI) seeks to obtain suggestions for specific biomarkers that could be included in the A2CPS Program.
NIH seeks input from the scientific community on specific candidate molecules, tests, patient reported outcomes, psychosocial factors, health record data, and/or other characteristics that could potentially serve as high value biomarkers for predicting acute to chronic pain transition and/or resilience which should be considered for inclusion as outcome measures to collect in the studies. All recommendations should be backed up with a rationale and citations from peer reviewed literature or other justification. Potential candidates could include, but are not limited to, the following:
How to Submit a Response
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