P. Barelka
Stanford University
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Featured researches published by P. Barelka.
Anesthesia & Analgesia | 2012
Ian Carroll; P. Barelka; Charlie Kiat Meng Wang; Bing Mei Wang; M. Gillespie; Rebecca McCue; Jarred Younger; Jodie A. Trafton; Keith Humphreys; Stuart B. Goodman; F. Dirbas; Richard I. Whyte; Jessica S. Donington; Walter B. Cannon; S. Mackey
BACKGROUND: Determinants of the duration of opioid use after surgery have not been reported. We hypothesized that both preoperative psychological distress and substance abuse would predict more prolonged opioid use after surgery. METHODS: Between January 2007 and April 2009, a prospective, longitudinal inception cohort study enrolled 109 of 134 consecutively approached patients undergoing mastectomy, lumpectomy, thoracotomy, total knee replacement, or total hip replacement. We measured preoperative psychological distress and substance use, and then measured the daily use of opioids until patients reported the cessation of both opioid consumption and pain. The primary end point was time to opioid cessation. All analyses were controlled for the type of surgery done. RESULTS: Overall, 6% of patients continued on new opioids 150 days after surgery. Preoperative prescribed opioid use, depressive symptoms, and increased self-perceived risk of addiction were each independently associated with more prolonged opioid use. Preoperative prescribed opioid use was associated with a 73% (95% confidence interval [CI] 0.51%–87%) reduction in the rate of opioid cessation after surgery (P = 0.0009). Additionally, each 1-point increase (on a 4-point scale) of self-perceived risk of addiction was associated with a 53% (95% CI 23%–71%) reduction in the rate of opioid cessation (P = 0.003). Independent of preoperative opioid use and self-perceived risk of addiction, each 10-point increase on a preoperative Beck Depression Inventory II was associated with a 42% (95% CI 18%–58%) reduction in the rate of opioid cessation (P = 0.002). The variance in the duration of postoperative opioid use was better predicted by preoperative prescribed opioid use, self-perceived risk of addiction, and depressive symptoms than postoperative pain duration or severity. CONCLUSIONS: Preoperative factors, including legitimate prescribed opioid use, self-perceived risk of addiction, and depressive symptoms each independently predicted more prolonged opioid use after surgery. Each of these factors was a better predictor of prolonged opioid use than postoperative pain duration or severity.
Pain Medicine | 2008
Jarred Younger; P. Barelka; Ian Carroll; Kim Kaplan; Larry F. Chu; Ravi Prasad; Ray Gaeta; S. Mackey
OBJECTIVE One potential consequence of chronic opioid analgesic administration is a paradoxical increase of pain sensitivity over time. Little scientific attention has been given to how cessation of opioid medication affects the hyperalgesic state. In this study, we examined the effects of opioid tapering on pain sensitivity in chronic pain patients. DESIGN Twelve chronic pain patients on long-term opioid analgesic treatment were observed in a 7- to 14-day inpatient pain rehabilitation program, with cold pain tolerance assessed at admission and discharge. The majority of participants were completely withdrawn from their opioids during their stay. OUTCOME MEASURES We hypothesized that those patients with the greatest reduction in daily opioid use would show the greatest increases in pain tolerance, as assessed by a cold pressor task. RESULTS A linear regression revealed that the amount of opioid medication withdrawn was a significant predictor of pain tolerance changes, but not in the direction hypothesized. Greater opioid reduction was associated with decreased pain tolerance. This reduction of pain tolerance was not associated with opioid withdrawal symptoms or changes in general pain. CONCLUSIONS These findings suggest that the withdrawal of opioids in a chronic pain sample leads to an acute increase in pain sensitivity.
Pain Medicine | 2014
Jennifer M. Hah; S. Mackey; P. Barelka; C. Wang; Bing M. Wang; M. Gillespie; Rebecca McCue; Jarred Younger; Jodie A. Trafton; Keith Humphreys; Stuart B. Goodman; F. Dirbas; Peter C. Schmidt; Ian Carroll
OBJECTIVE We previously reported that increased preoperative Beck Depression Inventory II (BDI-II) scores were associated with a 47% (95% CI 24%-64%) reduction in the rate of opioid cessation following surgery. We aimed to identify the underlying factors of the BDI-II (affective/cognitive vs somatic) associated with a decreased rate of opioid cessation after surgery. METHODS We conducted a secondary analysis of the data from a previously reported prospective, longitudinal, observational study of opioid use after five distinct surgical procedures (total hip replacement, total knee replacement, thoracotomy, mastectomy, and lumpectomy) in 107 patients. The primary endpoint was time to opioid cessation. After exploratory factor analysis of the BDI-II, mean summary scores were calculated for each identified factor. These scores were evaluated as predictors of time to opioid cessation using Cox proportional hazards regression. RESULTS The exploratory factor analysis produced three factors (self-loathing symptoms, motivational symptoms, emotional symptoms). All three factors were significant predictors in univariate analysis. Of the three identified factors of the BDI-II, only preoperative self-loathing symptoms (past failure, guilty feelings, self-dislike, self-criticalness, suicidal thoughts, worthlessness) independently predicted a significant decrease in opioid cessation rate after surgery in the multivariate analysis (HR 0.86, 95% CI 0.75-0.99, P value 0.037). CONCLUSIONS Our results identify a set of negative cognitions predicting prolonged time to postoperative opioid cessation. Somatic symptoms captured by the BDI-II were not primarily responsible for the association between preoperative BDI-II scores and postoperative prolonged opioid use.
Pain Medicine | 2015
Ian Carroll; Jennifer M. Hah; P. Barelka; C. Wang; Bing M. Wang; M. Gillespie; Rebecca McCue; Jarred Younger; Jodie A. Trafton; Keith Humphreys; Stuart B. Goodman; F. Dirbas; S. Mackey
OBJECTIVE Preoperative determinants of pain duration following surgery are poorly understood. We identified preoperative predictors of prolonged pain after surgery in a mixed surgical cohort. METHODS We conducted a prospective longitudinal study of patients undergoing mastectomy, lumpectomy, thoracotomy, total knee replacement, or total hip replacement. We measured preoperative psychological distress and substance use, and then measured pain and opioid use after surgery until patients reported the cessation of both opioid consumption and pain. The primary endpoint was time to opioid cessation, and those results have been previously reported. Here, we report preoperative determinants of time to pain resolution following surgery in Cox proportional hazards regression. RESULTS Between January 2007 and April 2009, we enrolled 107 of 134 consecutively approached patients undergoing the aforementioned surgical procedures. In the final multivariate model, preoperative self-perceived risk of addiction predicted more prolonged pain. Unexpectedly, anxiety sensitivity predicted more rapid pain resolution after surgery. Each one-point increase (on a four point scale) of self-perceived risk of addiction was associated with a 38% (95% CI 3-61) reduction in the rate of pain resolution (P = 0.04). Furthermore, higher anxiety sensitivity was associated with an 89% (95% CI 23-190) increased rate of pain resolution (P = 0.004). CONCLUSIONS Greater preoperative self-perceived risk of addiction, and lower anxiety sensitivity predicted a slower rate of pain resolution following surgery. Each of these factors was a better predictor of pain duration than preoperative depressive symptoms, post-traumatic stress disorder symptoms, past substance use, fear of pain, gender, age, preoperative pain, or preoperative opioid use.
Archive | 2010
P. Barelka; Ian Carroll
As more women survive breast cancer, an increasing number are burdened with the sequelae of the disease, including chronic pain. This can be a source of considerable disability to those already under a sizable amount of medical, financial, social, and psychological distress. Understanding the possible therapeutic options available for such patients can provide tremendous psychological and physical relief. This chapter provides an overview of common pain syndromes and possible treatment options.
The Journal of Pain | 2013
Peter C. Schmidt; Jennifer M. Hah; P. Barelka; C. Wang; Bing M. Wang; M. Gillespie; Rebecca McCue; J. Younger; J. Trafton; Keith Humphreys; Stuart B. Goodman; F. Dirbas; Richard I. Whyte; Jessica S. Donington; Walter B. Cannon; S. Mackey; Ian Carroll
The Journal of Pain | 2012
D. Clay; Ian Carroll; P. Barelka; C. Wang; Bing M. Wang; M. Gillespie; Rebecca McCue; J. Younger; Jodie A. Trafton; Keith Humphreys; Stuart B. Goodman; F. Dirbas; Richard I. Whyte; Jessica S. Donington; Walter B. Cannon; S. Mackey
The Journal of Pain | 2012
R. Moericke; Ian Carroll; P. Barelka; C. Wang; Bing M. Wang; M. Gillespie; Rebecca McCue; J. Younger; J. Trafton; Keith Humphreys; Stuart B. Goodman; F. Dirbas; Richard I. Whyte; Jessica S. Donington; Walter B. Cannon; S. Mackey
The Journal of Pain | 2008
J. Younger; S. Parke; P. Barelka; Ian Carroll; Larry F. Chu; R. Prasad; R. Gaeta; S. Mackey
The Journal of Pain | 2008
Ian Carroll; C. Wang; J. Wang; M. Gillespie; P. Barelka; Keith Humphreys; Jodie A. Trafton; F. Dirbas; Stuart B. Goodman; Richard I. Whyte; Walter B. Cannon; G. Yang; J. Pollard; S. Mackey