IDENTIFICATION OF PATIENT SUBGROUPS AND RISK FACTORS FOR PERSISTENT BREAST PAIN FOLLOWING BREAST CANCER SURGERY
Identifieur interne : 003427 ( Pmc/Curation ); précédent : 003426; suivant : 003428IDENTIFICATION OF PATIENT SUBGROUPS AND RISK FACTORS FOR PERSISTENT BREAST PAIN FOLLOWING BREAST CANCER SURGERY
Auteurs : Christine Miaskowski [États-Unis] ; Bruce Cooper [États-Unis] ; Steven M. Paul [États-Unis] ; Claudia West [États-Unis] ; Dale Langford [États-Unis] ; Jon D. Levine [États-Unis] ; Gary Abrams [États-Unis] ; Deborah Hamolsky [États-Unis] ; Laura Dunn [États-Unis] ; Marylin Dodd [États-Unis] ; John Neuhaus [États-Unis] ; Christina Baggott [États-Unis] ; Anand Dhruva [États-Unis] ; Brian Schmidt [États-Unis] ; Janine Cataldo [États-Unis] ; John Merriman [États-Unis] ; Bradley E. Aouizerat [États-Unis]Source :
- The journal of pain : official journal of the American Pain Society [ 1526-5900 ] ; 2012.
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 six 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 six months following breast cancer surgery.
Url:
DOI: 10.1016/j.jpain.2012.09.013
PubMed: 23182226
PubMed Central: 3511823
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<front><div type="abstract" xml:lang="en"><p id="P2">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 six 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 six months following breast cancer surgery.</p>
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</contrib>
<contrib contrib-type="author"><name><surname>Levine</surname>
<given-names>Jon D.</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Abrams</surname>
<given-names>Gary</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Hamolsky</surname>
<given-names>Deborah</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Dunn</surname>
<given-names>Laura</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Dodd</surname>
<given-names>Marylin</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Neuhaus</surname>
<given-names>John</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Baggott</surname>
<given-names>Christina</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Dhruva</surname>
<given-names>Anand</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Schmidt</surname>
<given-names>Brian</given-names>
</name>
<xref ref-type="aff" rid="A3">3</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Cataldo</surname>
<given-names>Janine</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Merriman</surname>
<given-names>John</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Aouizerat</surname>
<given-names>Bradley E.</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
<xref ref-type="aff" rid="A4">4</xref>
</contrib>
</contrib-group>
<aff id="A1"><label>1</label>
School of Nursing, University of California, San Francisco, CA</aff>
<aff id="A2"><label>2</label>
School of Medicine, University of California, San Francisco, CA</aff>
<aff id="A4"><label>4</label>
Institute for Human Genetics, University of California, San Francisco, CA</aff>
<aff id="A3"><label>3</label>
School of Dentistry, New York University, New York, NY</aff>
<author-notes><corresp id="FN1">Address correspondence to: Christine Miaskowski, RN, PhD, FAAN, Professor, Department of Physiological Nursing, University of California, 2 Koret Way – N631Y, San Francisco, CA 94143-0610, 415-476-9407 (phone), 415-476-8899 (fax), <email>chris.miaskowski@nursing.ucsf.edu</email>
</corresp>
</author-notes>
<pub-date pub-type="nihms-submitted"><day>20</day>
<month>11</month>
<year>2012</year>
</pub-date>
<pub-date pub-type="ppub"><month>12</month>
<year>2012</year>
</pub-date>
<pub-date pub-type="pmc-release"><day>01</day>
<month>12</month>
<year>2013</year>
</pub-date>
<volume>13</volume>
<issue>12</issue>
<fpage>1172</fpage>
<lpage>1187</lpage>
<permissions><copyright-statement>© 2012 The American Pain Society. Published by Elsevier Inc. All rights reserved.</copyright-statement>
<copyright-year>2012</copyright-year>
</permissions>
<abstract><p id="P2">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 six 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 six months following breast cancer surgery.</p>
</abstract>
<kwd-group><kwd>breast pain</kwd>
<kwd>persistent postsurgical pain</kwd>
<kwd>risk factors</kwd>
<kwd>breast cancer surgery</kwd>
<kwd>growth mixture modeling</kwd>
<kwd>latent class analysis</kwd>
</kwd-group>
<funding-group><award-group><funding-source country="United States">National Cancer Institute : NCI</funding-source>
<award-id>R01 CA118658 || CA</award-id>
</award-group>
<award-group><funding-source country="United States">National Cancer Institute : NCI</funding-source>
<award-id>R01 CA107091 || CA</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
</pmc>
</record>
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