The journal of pain : official journal of the American Pain Society
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Acute postsurgical pain (APSP) is a common and anticipated problem after surgery with detrimental consequences if not appropriately managed. This study examined the independent and joint contribution of presurgical demographic, clinical, and psychological variables as predictors of APSP intensity, evaluated using an 11-point numeric rating scale, after inguinal hernioplasty, one of the most performed surgeries worldwide. In a prospective observational cohort study, a consecutive sample of 135 men undergoing hernioplasty was assessed before and 48 hours after surgery. ⋯ The integrative predictive model found in this study revealed the simultaneous influence that demographic, clinical, and psychological factors have on APSP after inguinal hernioplasty. Therefore, these results improve knowledge on APSP predictors after inguinal hernioplasty and highlight potential modifiable intervention targets, such as anxiety and pain catastrophizing (rumination), for the design of interventions focused on APSP prevention and management. Hence, taken together, these findings lend support for the inclusion of presurgical screening and psychological interventions among surgical patients at risk for higher APSP intensity.
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Facilitated pain mechanisms and impaired pain inhibition are often found in chronic pain patients. This study compared clinical pain profiles, pain sensitivity, as well as pronociceptive and antinociceptive mechanisms in patients with localized low back pain (n = 18), localized neck pain (n = 17), low back and radiating leg pain (n = 18), or neck and radiating arm pain (n = 17). It was hypothesized that patients with radiating pain had facilitated pain mechanisms and impaired pain inhibition compared with localized pain patients. ⋯ Temporal summation of pain was increased in patients with radiating back pain compared with localized back pain (P < .03). Patients with radiating arm pain or localized low back pain demonstrated hyperalgesia to heat and pressure in nonpainful body areas (P < .05), as well as well as a facilitated clinical pain profile compared with patients with localized neck pain (P = .03). Patients with radiating pain patterns demonstrated facilitated temporal summation suggesting differences in the underlying pain mechanisms between patients with localized back pain and radiating pain.
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Pain behavior plays a key role in many theoretical models of pain, with many of these models conceptualizing pain behaviors as potentially detrimental to patient functioning. We propose that a certain class of behaviors-talking to others about one's pain-related distress (ie, emotional disclosures of pain-related distress)-can be distinguished from other behaviors traditionally conceptualized as pain behaviors. ⋯ Emotion and relationships models are also applied to assert that disclosures of pain-related distress may have functions that are not shared with other pain behaviors. In addition to an expanded conceptualization of these verbal expressions of distress about pain, further directions are provided to spur new research as well as clinical recommendations concerning appropriate responses to these behaviors.
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Psychosocial factors that protect against negative outcomes for individuals with chronic pain have received increased attention in recent years. Pain resilience, or the ability to maintain behavioral engagement and regulate emotions as well as cognitions despite prolonged or intense pain, is one such factor. A measure of pain-specific resilience, the Pain Resilience Scale, was previously identified as a better predictor of acute pain tolerance than general resilience. ⋯ A confirmatory factor analysis confirmed the 2-factor structure of the Pain Resilience Scale previously observed among respondents without chronic pain, although one item from each subscale was dropped in the final version. For this chronic pain sample, structural equation modeling showed that pain resilience contributes unique variance to a model including pain acceptance and pain self-efficacy in predicting quality of life and pain intensity. Further, pain resilience was a better fit in this model than general resilience, strengthening the argument for assessing pain resilience over general resilience.