Pain medicine : the official journal of the American Academy of Pain Medicine
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1) Determine and compare prevalence for homicide-suicide (H-S) affirmation in community non-patients (N=478), community patients (N=158), acute pain patients (APPs; N=326), and chronic pain patients (CPPs; N=341); and 2) Develop H-S predictor models in APPs and CPPs. ⋯ The prevalence of H-S affirmation within APPs and CPPs is not insignificant. The APPs predictor model points to a close association between H-S affirmation and suicidality. The CPPs model indicates that there is a close association between H-S affirmation, and anger/hostility and anger directed at physicians. These results, however, should not lead to the belief that CPPs are at greater risk for actual H-S completion for the following reasons: 1) H-S is an extremely rare event; and 2) predictive validity of the H-S item for actual H-S completion has not been determined.
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To investigate how self-reported musculoskeletal pain and health-related quality of life (HRQoL) are associated among young adults. ⋯ The number of involved sites of self-reported musculoskeletal pain was associated with the level of reduction in HRQoL among young adults.
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Develop a burn injury model in young age rats. ⋯ Our data suggest that this model may be used to explore the mechanisms of burn injury-induced nociception in young rats and to differentiate the sequelae from burn injury between adult and young rats under certain experimental conditions.
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Case report. ⋯ This case illustrates patient can present with an isolated symptom such as dizziness without headache after PDP. The patient received an EBP with complete resolution of her symptom of postdural dizziness.
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The pain stages of change questionnaire (PSOCQ) has been designed to assess the willingness of chronic pain patients to engage in self-management approaches. This study sought to examine the utility of the PSOCQ as a predictor of treatment completion and the relationship with treatment outcome. ⋯ These findings suggest that the PSOCQ may be useful in making treatment more efficient, both by predicting who is less likely complete treatment and by providing targeted treatments according to patients' readiness to engage in self-management.