Identification of Patient Subgroups and Risk Factors for Persistent Breast Pain Following Breast Cancer Surgery |
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Authors: | Christine Miaskowski Bruce Cooper Steven M. Paul Claudia West Dale Langford Jon D. Levine Gary Abrams Deborah Hamolsky Laura Dunn Marylin Dodd John Neuhaus Christina Baggott Anand Dhruva Brian Schmidt Janine Cataldo John Merriman Bradley E. Aouizerat |
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Affiliation: | ∗ School of Nursing, University of California, San Francisco, California;† School of Medicine, University of California, San Francisco, California;§ Institute for Human Genetics, University of California, San Francisco, California;‡ School of Dentistry, New York University, New York, New York |
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Abstract: | Study purposes were to determine the prevalence of persistent pain in the breast; characterize distinct persistent pain classes using growth mixture modeling; and evaluate for differences among these pain classes in demographic, preoperative, intraoperative, and postoperative characteristics. In addition, differences in the severity of common symptoms and quality of life outcomes measured prior to surgery, among the pain classes, were evaluated. Patients (n = 398) were recruited prior to surgery and followed for 6 months. Using growth mixture modeling, patients were classified into no (31.7%), mild (43.4%), moderate (13.3%), and severe (11.6%) pain groups based on ratings of worst breast pain. Differences in a number of demographic, preoperative, intraoperative, and postoperative characteristics differentiated among the pain classes. In addition, patients in the moderate and severe pain classes reported higher preoperative levels of depression, anxiety, and sleep disturbance than the no pain class. Findings suggest that approximately 25% of women experience significant and persistent levels of breast pain in the first 6 months following breast cancer surgery. |
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Keywords: | Breast pain persistent postsurgical pain risk factors breast cancer surgery growth mixture modeling latent class analysis |
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