Beyond Abdominal Pain: Pain Beliefs, Pain Affect, and Distress as Determinants of Quality of Life in Patients With Chronic Pancreatitis.

GOALS: To assess the relationship between pain, psychological processes, and quality of life (QOL) in chronic pancreatitis (CP). BACKGROUND: CP is a progressive inflammatory disorder of the pancreas characteristically resulting in abdominal pain and impairing QOL. Pain due to CP is poorly understood and frequently difficult to treat. This pain has historically been understood as a peripheral process originating from the pancreas itself, but a growing body of literature is revealing an important role offered by central influences. Viewed through the perspective of the biopsychosocial model of illness, cognitive variables strongly influence QOL. However, there is little understanding of variables that influence QOL in CP. STUDY: Patients with CP from the University of Alabama at Birmingham were administered a 165-question test battery which was comprised of questionnaires evaluating pain beliefs, disease-specific QOL, psychological distress, pain sensation, pain affect, and long-term suffering. RESULTS: Sixty-eight subjects completed the question battery between February 28, 2011 and January 16, 2014. Almost all (91.2%) reported taking pain medication. QOL was significantly associated with reported levels of pain intensity (r=-0.52, P<0.01) as well as perceived self-blame. CONCLUSIONS: The significant predictors of QOL impairment in CP are pain intensity and perceived self-blame for pain. Further research is needed to elucidate this relationship while also evaluating the effectiveness of systematic modification of these variables in an attempt to improve pain and QOL in CP.

Practices, perceptions, and concerns of primary care physicians about opioid dependence associated with the treatment of chronic pain.

When prescribing opioids to treat chronic pain, physicians face the dilemma of balancing effective pain management while avoiding iatrogenic opioid addiction. Through mailed surveys, the current study assessed concerns, perceptions, and practices of primary care physicians related to this dilemma. Of the 35 (43%) physicians that replied, 32 (91.4%) reported to prescribe opioids for pain. Twenty-six (81.3%) physicians mentioned that "legitimate pain" was the main reason why most patients who are opioid dependent begin using opioids. Most physicians (71.5%) rated their knowledge/comfort of treatment/management of opioid dependence as being low. Although these physicians believed training is essential to learning about the risks involved with chronic pain and opioid dependence, many of these physicians evaluated their own medical training in these areas as unsatisfactory. Training programs may better equip primary care physicians when addressing the treatment of chronic pain and addiction to opioids.

Prescription opioid use among patients seeking treatment for opioid dependence.

OBJECTIVE: This study was designed to assess non-medical prescription opioid use among a sample of opioid dependent participants. METHODS: A cross-sectional survey was conducted with a convenience sample of patients hospitalized for medical management of opioid withdrawal. We collected data related to participant demographics, socio-economic characteristics, the age of first opioid use, types of opioids preferred, and routes of administration. We also asked participants to describe how they first began using opioids and how their use progressed over time. RESULTS: Among the 75 participants, the mean age was 32 years (SD: +/- 11, range: 18-70), 49 (65%) were men, 58 (77%) considered themselves to be "white," 55 (74%) had a high school diploma or equivalent, and 39 (52%) were unemployed. All of these participants considered themselves to be "addicted." Thirty-one (41%) felt that their addiction began with "legitimate prescriptions," 24 (32%) with diverted prescription medications, and 20 (27%) with "street drugs" from illicit sources; however, 69 (92%) had reported purchasing opioids "off the street" at some point in time. Thirty-seven (49%) considered heroin to be their current preferred drug, and 43 (57%) had used drugs intravenously. CONCLUSIONS: We found that many treatment-seeking opioid dependent patients first began using licit prescription drugs before obtaining opioids from illicit sources. Later, they purchased heroin, which they would come to prefer because it was less expensive and more effective than prescription drugs.

Modeling corticosteroid effects in a rat model of rheumatoid arthritis I: mechanistic disease progression model for the time course of collagen-induced arthritis in Lewis rats.

A mechanism-based model was developed to describe the time course of arthritis progression in the rat. Arthritis was induced in male Lewis rats with type II porcine collagen into the base of the tail. Disease progression was monitored by paw swelling, bone mineral density (BMD), body weights, plasma corticosterone (CST) concentrations, and tumor necrosis factor (TNF)-alpha, interleukin (IL)-1beta, IL-6, and glucocorticoid receptor (GR) mRNA expression in paw tissue. Bone mineral density was determined by PIXImus II dual energy X-ray densitometry. Plasma CST was assayed by high-performance liquid chromatography. Cytokine and GR mRNA were determined by quantitative real-time polymerase chain reaction. Disease progression models were constructed from transduction and indirect response models and applied using S-ADAPT software. A delay in the onset of increased paw TNF-alpha and IL-6 mRNA concentrations was successfully characterized by simple transduction. This rise was closely followed by an up-regulation of GR mRNA and CST concentrations. Paw swelling and body weight responses peaked approximately 21 days after induction, whereas bone mineral density changes were greatest at 23 days after induction. After peak response, the time course in IL-1beta, IL-6 mRNA, and paw edema slowly declined toward a disease steady state. Model parameters indicate TNF-alpha and IL-1beta mRNA most significantly induce paw edema, whereas IL-6 mRNA exerted the most influence on BMD. The model for bone mineral density captures rates of turnover of cancellous and cortical bone and the fraction of each in the different regions analyzed. This small systems model integrates and quantitates multiple factors contributing to arthritis in rats.