Biological and Clinical Underpinnings of Postoperative Pain - Mastectomy
NCT ID: NCT07271589
Last Updated: 2025-12-09
Study Results
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Basic Information
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NOT_YET_RECRUITING
86 participants
OBSERVATIONAL
2026-02-01
2028-08-31
Brief Summary
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1. We will use standardized experimental pain testing before surgery to evaluate how patients respond to different types of controlled sensory stimuli. These responses may help predict who is more likely to experience severe or prolonged pain after surgery.
2. We will analyze blood samples collected before and after surgery to measure markers of inflammation and other biological responses. These data will help us explore how the body's immune and hormonal systems relate to pain severity in both the short- and longer-term recovery phases.
3. We will assess psychological and clinical factors, such as emotional health, coping style, household income, and life stressors, to understand how they contribute to patients' pain experiences throughout recovery.
4. We will examine whether routinely collected demographic and clinical characteristics can help identify patients at greater risk of experiencing higher levels of pain after surgery. This approach will allow us to better understand which patients may benefit from more tailored perioperative pain management strategies.
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Detailed Description
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Aim 1: Characterize individual differences in pain processing using standardized experimental pain testing.
Participants will complete a battery of quantitative sensory testing (QST) measures preoperatively to assess their sensitivity to mechanical, thermal, and pressure-based stimuli. These standardized tests capture individual differences in nociceptive and central pain modulation. By linking preoperative pain sensitivity profiles to postoperative pain intensity and duration, we will determine whether QST-derived measures can serve as early predictors of maladaptive pain trajectories.
Aim 2: Examine biological and inflammatory mechanisms underlying postoperative pain persistence.
Peripheral blood samples will be collected at multiple time points before and after surgery to quantify circulating markers of inflammation (e.g., IL-6, CRP), neuroendocrine function (e.g., oxytocin, vasopressin), and immune regulation. These biomarkers will be analyzed in relation to clinical pain outcomes to identify biological signatures associated with resilience versus vulnerability to chronic pain. This aim will provide mechanistic insight into how systemic physiological responses to surgery contribute to prolonged nociceptive signaling.
Aim 3: Assess psychosocial determinants of pain and recovery.
We will evaluate key psychological and social-contextual variables, including emotional health, coping style, catastrophizing, optimism, perceived stress, and socioeconomic indicators-to determine how these factors influence postoperative pain experiences and recovery. This comprehensive assessment will clarify how psychological resilience and environmental stressors interact with biological processes to shape individual pain outcomes.
Aim 4: Develop a multidimensional risk model integrating demographic, clinical, and mechanistic predictors.
Using routinely collected demographic and perioperative data (e.g., age, sex, race, comorbidities, analgesic use, surgical approach), combined with the experimental, biological, and psychosocial measures from Aims 1-3, we will construct an integrative predictive model of postoperative pain outcomes. This approach will allow us to identify distinct risk phenotypes and generate clinically actionable profiles for early identification of patients most likely to benefit from personalized perioperative pain management strategies.
Together, these efforts will advance our understanding of how biological, psychological, and contextual factors jointly influence pain recovery after surgery, with the long-term goal of informing precision pain medicine and improving postoperative care.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Breast Surgery/Mastectomy Patients
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
89 Years
ALL
No
Sponsors
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University of Alabama at Birmingham
OTHER
Responsible Party
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Demario Overstreet
Assistant Professor of Surgery
Central Contacts
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References
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Overstreet DS, Strath LJ, Sorge RE, Thomas PA, He J, Wiggins AM, Hobson J, Long DL, Meints SM, Aroke EN, Goodin BR. Race-specific associations: inflammatory mediators and chronic low back pain. Pain. 2024 Jul 1;165(7):1513-1522. doi: 10.1097/j.pain.0000000000003154. Epub 2024 Feb 6.
Gan TJ. Poorly controlled postoperative pain: prevalence, consequences, and prevention. J Pain Res. 2017 Sep 25;10:2287-2298. doi: 10.2147/JPR.S144066. eCollection 2017.
Horn R, Hendrix JM, Kramer J. Postoperative Pain Control. 2024 Jan 30. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan-. Available from http://www.ncbi.nlm.nih.gov/books/NBK544298/
Dobson GP. Trauma of major surgery: A global problem that is not going away. Int J Surg. 2020 Sep;81:47-54. doi: 10.1016/j.ijsu.2020.07.017. Epub 2020 Jul 29.
Small C, Laycock H. Acute postoperative pain management. Br J Surg. 2020 Jan;107(2):e70-e80. doi: 10.1002/bjs.11477.
Katz J, Seltzer Z. Transition from acute to chronic postsurgical pain: risk factors and protective factors. Expert Rev Neurother. 2009 May;9(5):723-44. doi: 10.1586/ern.09.20.
Bruce J, Quinlan J. Chronic Post Surgical Pain. Rev Pain. 2011 Sep;5(3):23-9. doi: 10.1177/204946371100500306.
Other Identifiers
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IBR-300015322
Identifier Type: -
Identifier Source: org_study_id
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