scholarly journals Persistent post-surgical pain following breast cancer surgery: an observational study in a tertiary care hospital

2020 ◽  
pp. 1-13
Author(s):  
Ali Sarfraz Siddiqui ◽  
Sana Zeeshan ◽  
Aliya Ahmed ◽  
Shaista Khan ◽  
Admin
Keyword(s):  
Breast Cancer ◽  
Tertiary Care ◽  
Persistent Pain ◽  
Primary Objective ◽  
Cancer Surgery ◽  
Breast Cancer Surgery ◽  
Care Hospital ◽  
Burning Pain ◽  
Surgical Pain ◽  
Operation Results

Abstract Introduction: Persistent post-surgical pain (PPSP) is significant issue following breast cancer treatment that leads to disability and psychological distress and is often difficult to manage. Objectives: Primary objective of this study was to determine the frequency of persistent pain in patients after breast cancer surgery while the secondary objective was to see the distribution and characteristics of pain in these patients. Methods: In this prospective observational single cohort study all adult female patients with biopsy proven carcinoma of breast who were scheduled for elective definitive breast cancer surgery from 1st August 2016 to 31st January 2017 were enrolled.  Total 120 patients were followed for up to three months after surgery and those who had persistent pain were followed up for six months after operation. Results: Out of the 120 patients, twenty six (21.7%) patients developed persistent post-surgical pain for up to three months while in seventeen (14.2%) patients pain continued for up to six months after operation. Of twenty six patients with PPSP, eleven (42.3%) had burning pain, ten (38.5%) had throbbing pain, three (11.5%) patients had numbness while two patients had mixed character of pain. Eleven patients developed pain at more than one site. Pain was distributed in axilla, chest wall, upper arm and surgical scar area. Fifteen out of twenty six patients (57.7%), had pain in axilla. Continuous...

scholarly journals Development of a screening instrument for risk factors of persistent pain after breast cancer surgery

2012 ◽  
Vol 107 (9) ◽  
pp. 1459-1466 ◽  
Author(s):  
R Sipilä ◽  
A-M Estlander ◽  
T Tasmuth ◽  
M Kataja ◽  
E Kalso
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Screening Instrument ◽  
Persistent Pain ◽  
Cancer Surgery ◽  
Breast Cancer Surgery

scholarly journals Hyperalgesia and Persistent Pain after Breast Cancer Surgery: A Prospective Randomized Controlled Trial with Perioperative COX-2 Inhibition

PLoS ONE ◽  
2016 ◽  
Vol 11 (12) ◽  
pp. e0166601 ◽  
Author(s):  
Noud van Helmond ◽  
Monique A. Steegers ◽  
Gertie P. Filippini-de Moor ◽  
Kris C. Vissers ◽  
Oliver H. Wilder-Smith
Keyword(s):  
Breast Cancer ◽  
Randomized Controlled Trial ◽  
Controlled Trial ◽  
Persistent Pain ◽  
Cancer Surgery ◽  
Breast Cancer Surgery ◽  
Randomized Controlled ◽  
Prospective Randomized Controlled Trial ◽  
Cox 2

Clinical Prediction Model and Tool for Assessing Risk of Persistent Pain After Breast Cancer Surgery

2017 ◽  
Vol 35 (15) ◽  
pp. 1660-1667 ◽  
Author(s):  
Tuomo J. Meretoja ◽  
Kenneth Geving Andersen ◽  
Julie Bruce ◽  
Lassi Haasio ◽  
Reetta Sipilä ◽  
...  
Keyword(s):  
Breast Cancer ◽  
High Risk ◽  
Prediction Model ◽  
Prediction Models ◽  
Persistent Pain ◽  
Cancer Surgery ◽  
Breast Cancer Surgery ◽  
Outcome Variable ◽  
Axillary Lymph ◽  
Operating Characteristics

Purpose Persistent pain after breast cancer surgery is a well-recognized problem, with moderate to severe pain affecting 15% to 20% of women at 1 year from surgery. Several risk factors for persistent pain have been recognized, but tools to identify high-risk patients and preventive interventions are missing. The aim was to develop a clinically applicable risk prediction tool. Methods The prediction models were developed and tested using three prospective data sets from Finland (n = 860), Denmark (n = 453), and Scotland (n = 231). Prediction models for persistent pain of moderate to severe intensity at 1 year postoperatively were developed by logistic regression analyses in the Finnish patient cohort. The models were tested in two independent cohorts from Denmark and Scotland by assessing the areas under the receiver operating characteristics curves (ROC-AUCs). The outcome variable was moderate to severe persistent pain at 1 year from surgery in the Finnish and Danish cohorts and at 9 months in the Scottish cohort. Results Moderate to severe persistent pain occurred in 13.5%, 13.9%, and 20.3% of the patients in the three studies, respectively. Preoperative pain in the operative area ( P < .001), high body mass index ( P = .039), axillary lymph node dissection ( P = .008), and more severe acute postoperative pain intensity at the seventh postoperative day ( P = .003) predicted persistent pain in the final prediction model, which performed well in the Danish (ROC-AUC, 0.739) and Scottish (ROC-AUC, 0.740) cohorts. At the 20% risk level, the model had 32.8% and 47.4% sensitivity and 94.4% and 82.4% specificity in the Danish and Scottish cohorts, respectively. Conclusion Our validated prediction models and an online risk calculator provide clinicians and researchers with a simple tool to screen for patients at high risk of developing persistent pain after breast cancer surgery.

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