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Biological and Clinical Underpinnings of Postoperative Pain - Mastectomy

Biological and Clinical Underpinnings of Postoperative Pain - Mastectomy (BAC-UPP 1 Study)

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07271589
Acronym
BAC-UPP 1
Enrollment
86
Registered
2025-12-09
Start date
2026-09-01
Completion date
2028-08-31
Last updated
2026-07-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Mastectomy

Keywords

Mastectomy, breast surgery, nociception, acute pain, chronic pain

Brief summary

Persistent pain after mastectomy remains a significant clinical challenge that can delay recovery, reduce quality of life, and increase long-term healthcare burden. The goal of this study is to gain a deeper understanding of the biological and clinical factors that influence pain severity after mastectomy and contribute to the transition from acute to chronic postoperative pain. Guided by a biopsychosocial framework, this research will address the following aims: 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.

Detailed description

The overarching goal of this study is to elucidate the biological, psychological, and clinical factors that are responsible for pain trajectories following mastectomy. Using a biopsychosocial framework, we aim to identify modifiable risk and protective mechanisms that could inform the development of targeted interventions to prevent chronic postsurgical pain. 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.

Interventions

None listed

Sponsors

University of Alabama at Birmingham
Lead SponsorOTHER
National Institute of General Medical Sciences (NIGMS)
CollaboratorNIH

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 89 Years
Healthy volunteers
No

Inclusion criteria

* Participants scheduled for breast surgery/mastectomy ; 2) age between 18-65; 3) understanding of verbal and written English.

Exclusion criteria

* 1\) concurrent medical conditions that could confound the interpretation of the data; 2) HIV positive diagnosis; 3) cardiovascular or pulmonary disease; 4) systemic rheumatoid disease; 5) uncontrolled hypertension (i.e. SBP/DBP of \> 150/95); 6) current illness accompanied by fever (body temperature \>38 °C); 7) any other chronic pain condition; 8) conditions resulting in altered nerve sensation; 9) hospitalization due to psychiatric illness within the last 6 months; 10) poorly controlled diabetes; 11) history of stroke; 12) history of seizures; 13) circulatory disorders such AS Raynauds' disease 14) history of drug or alcohol abuse.

Design outcomes

Primary

MeasureTime frameDescription
Chronic Pain after Mastectomy (Using Brief Pain Inventory - Short Form)12 weeks after surgeryPain measured 3 months following mastectomy The BPI-SF is a multidimensional pain scale used to assess self-reported pain severity and its interference with daily functioning. The questionnaire is composed of four items asking about pain severity (worst pain, least pain, average pain, and pain right now) over the past 24 h. Additionally, seven items assess the degree to which pain interferes with functioning in the following domains: general activity, mood, walking ability, normal work, relations with other people, sleep, and enjoyment of life. Each item is scored from 0 (no pain or does not interfere) to 10 (worst imaginable pain or completely interferes). Higher scores suggest greater pain severity and pain interference. The BPI-SF is a well validated chronic pain questionnaire that has previously been used in samples with cLBP.
Acute Pain after Surgery (using Brief Pain Inventory- Short Form)48 hours after surgeryPain rating 48 hours after surgery using Brief Pain Questionnaire The BPI-SF is a multidimensional pain scale used to assess self-reported pain severity and its interference with daily functioning. The questionnaire is composed of four items asking about pain severity (worst pain, least pain, average pain, and pain right now) over the past 24 h. Additionally, seven items assess the degree to which pain interferes with functioning in the following domains: general activity, mood, walking ability, normal work, relations with other people, sleep, and enjoyment of life. Each item is scored from 0 (no pain or does not interfere) to 10 (worst imaginable pain or completely interferes). Higher scores suggest greater pain severity and pain interference. The BPI-SF is a well validated chronic pain questionnaire that has previously been used in samples with cLBP.

Contacts

CONTACTDemario S. Overstreet, Ph.D.
demariooverstreet@uabmc.edu3344130112
CONTACTTammie Quinn, BA
tquinn@uab.edu205-934-8743

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 14, 2026