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Dive into the research topics where M. Cornelius is active.

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Featured researches published by M. Cornelius.


The Journal of Pain | 2016

Distress Intolerance and Prescription Opioid Misuse Among Patients With Chronic Pain

R. Kathryn McHugh; Roger D. Weiss; M. Cornelius; Marc O. Martel; Robert N. Jamison; Robert R. Edwards

UNLABELLED The risk for misuse of opioid medications is a significant challenge in the management of chronic pain. The identification of those who may be at greater risk for misusing opioids is needed to facilitate closer monitoring of high-risk subgroups, and may help to identify therapeutic targets for mitigating this risk. The aim of this study was to examine whether distress intolerance-the perceived or actual inability to manage negative emotional and somatic states-was associated with opioid misuse in those with chronic pain. A sample of 51 participants prescribed opioid analgesics for chronic back or neck pain were recruited for a 1-time laboratory study. Participants completed measures of distress intolerance and opioid misuse, and a quantitative sensory testing battery. Results suggested that distress intolerance was associated with opioid misuse, even controlling for pain severity and negative affect. Distress intolerance was not associated with pain severity, threshold, or tolerance, but was associated with self-reported anxiety and stress after noxious stimuli. This study found robust differences in distress intolerance between adults with chronic pain with and without opioid medication misuse. Distress intolerance may be a relevant marker of risk for opioid misuse among those with chronic pain. PERSPECTIVE This study demonstrated that distress intolerance was associated with opioid misuse in adults with chronic pain who were prescribed opioids. Distress intolerance can be modified with treatment, and thus may be relevant not only for identification of risk for opioid misuse, but also for mitigation of this risk.


Journal of Pain Research | 2018

The impact of anxiety and catastrophizing on interleukin-6 responses to acute painful stress

Asimina Lazaridou; Marc O. Martel; Christine M. Cahalan; M. Cornelius; O. Franceschelli; C. Campbell; Jennifer A. Haythornthwaite; Michael T. Smith; Joseph L. Riley; Robert R. Edwards

Objective To examine the influence of anxiety and pain-related catastrophizing on the time course of acute interleukin-6 (IL-6) responses to standardized noxious stimulation among patients with chronic pain. Methods Data were collected from 48 participants in the following demographically matched groups: patients with chronic pain (n=36) and healthy controls (n=12). Participants underwent a series of Quantitative Sensory Testing (QST) procedures assessing responses to mechanical and thermal stimuli during two separate visits, in a randomized order. One visit consisted of standard, moderately painful QST procedures, while the other visit involved nonpainful analogs to these testing procedures. Blood samples were taken at baseline, and then for up to 2 hours after QST in order to study the time course of IL-6 responses. Results Results of multilevel analyses revealed that IL-6 responses increased across assessment time points in both visits (p<0.001). While patients with chronic pain and healthy controls did not differ in the magnitude of IL-6 responses, psychological factors influenced IL-6 trajectories only in the chronic pain group. Among patients, increases in catastrophizing over the course of the QST session were associated with elevated IL-6 responses only during the painful QST session (p<0.05). When controlling for anxiety, results indicated that the main multilevel model among patients remained significant (p<0.05). Conclusion Under specific conditions (eg, application of a painful stressor), catastrophizing may be associated with amplified proinflammatory responses in patients with persistent pain. These findings suggest that psychosocial interventions that reduce negative pain-related cognitions may benefit patients’ inflammatory profiles.


Pain Medicine | 2018

Prediction of Pain and Opioid Utilization in the Perioperative Period in Patients Undergoing Primary Knee Arthroplasty: Psychophysical and Psychosocial Factors

Christopher R. Abrecht; M. Cornelius; Albert Wu; Robert N. Jamison; David Janfaza; Richard D. Urman; C. Campbell; Michael T. Smith; Jennifer A. Haythornthwaite; Robert R. Edwards; Kristin L. Schreiber

Objective To identify factors associated with pain severity and opioid consumption in the early perioperative period. Design Prospective observational cohort study. Setting Tertiary academic medical center. Subjects Patients with osteoarthritis older than age 45 years undergoing primary total knee replacement at Brigham and Womens Hospital. A total of 126 patients enrolled. Methods Preoperatively, pain questionnaires and quantitative sensory testing were performed on patients to develop a psychosocial and psychophysical profile. Postoperatively, pain scores and opioid consumption were measured as primary end points. Univariate and multiple linear regression analyses were performed to determine the predictive value of these characteristics on perioperative pain scores and opioid consumption. Results Regression analysis revealed several predictors of acute postoperative pain scores including temporal summation of pain (TSP; P = 0.001), body mass index (BMI; P = 0.044), number of previous knee surgeries (P = 0.006), and female gender (P = 0.023). Similarly, predictors of opioid utilization included TSP (P = 0.011), BMI (P = 0.02), age (P = <0.001), and tourniquet time (P = 0.003). Conclusions The only significant, unique predictors of both pain and opioid consumption were TSP, an index of central pain facilitatory processes, and BMI. Interestingly, psychosocial factors, such as catastrophizing and somatization, although correlated with postoperative pain scores and opioid consumption, generally did not independently explain substantial variance in these measures. This study suggests that BMI and quantitative sensory testing, specifically the temporal summation of pain, may provide value in the preoperative assessment of patients undergoing total knee arthroplasty and other surgeries via predicting their level of risk for adverse pain outcomes.


BMC Musculoskeletal Disorders | 2016

Variability in conditioned pain modulation predicts response to NSAID treatment in patients with knee osteoarthritis

Robert R. Edwards; Andrew J. Dolman; Marc O. Martel; Patrick H. Finan; Asimina Lazaridou; M. Cornelius; Ajay D. Wasan


Journal of Applied Biobehavioral Research | 2017

Influence of catastrophizing on pain intensity, disability, side effects, and opioid misuse among pain patients in primary care

Asimina Lazaridou; O. Franceschelli; Alexandra Buliteanu; M. Cornelius; Robert R. Edwards; Robert N. Jamison


Pain Medicine | 2018

The Association Between Daily Physical Activity and Pain Among Patients with Knee Osteoarthritis: The Moderating Role of Pain Catastrophizing

Asimina Lazaridou; Marc O. Martel; M. Cornelius; O. Franceschelli; C. Campbell; Michael T. Smith; Jennifer A. Haythornthwaite; John Wright; Robert R. Edwards


The Journal of Pain | 2017

(210) Prediction of pain and opioid utilization in the perioperative period in patients undergoing primary knee arthroplasty: psychophysical and psychosocial factors

Seth Greenbaum; Christopher R. Abrecht; M. Cornelius; Richard D. Urman; Robert R. Edwards; Kristin L. Schreiber


The Journal of Pain | 2017

425) The role of emotional distress on sex differences in pain and functioning among patients undergoing total knee arthroplasty

M. Nandi; Kristin L. Schreiber; Marc O. Martel; M. Cornelius; C. Campbell; M. Smith; J. Haythornthwaite; John Wright; P. Khanuja; C. Strichartz; Robert R. Edwards


The Journal of Pain | 2017

(281) Pain catastrophizing predicts post-surgical changes in physical functioning in total knee replacement patients

M. Cornelius; Robert R. Edwards; Asimina Lazaridou; O. Franceschelli


The Journal of Pain | 2017

(405) Use of a brief, portable bedside quantitative sensory test in mastectomy patients: longitudinal assessment of individual differences in pain sensitivity and prediction of clinical pain

Kristin L. Schreiber; N. Zinboonyahgoon; G. Vasudevan; M. Cornelius; Robert R. Edwards

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Robert R. Edwards

Brigham and Women's Hospital

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C. Campbell

Brigham and Women's Hospital

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Marc O. Martel

Brigham and Women's Hospital

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Asimina Lazaridou

Brigham and Women's Hospital

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Kristin L. Schreiber

Brigham and Women's Hospital

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O. Franceschelli

Brigham and Women's Hospital

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J. Haythornthwaite

Brigham and Women's Hospital

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Jennifer A. Haythornthwaite

Johns Hopkins University School of Medicine

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M. Smith

Brigham and Women's Hospital

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Robert N. Jamison

Brigham and Women's Hospital

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