PURPOSE: The purpose of this study was to assess which pain intensity dimension scale (worst, least, average, or current pain) from the Brief Pain Inventory (BPI) correlates most highly with functional interference scores in patients experiencing taxane-induced arthralgia and myalgia. METHODS: Breast cancer patients scheduled to receive docetaxel, paclitaxel, or albumin-bound paclitaxel (nab-paclitaxel) were enrolled in the study. Patients completed an initial baseline questionnaire and subsequently filled out a diary based on the BPI on days 1-7, 14, and 21 for three consecutive treatment cycles. Pain scores for worst, least, average, and current pain intensity dimensions as well as pain interference scores were recorded in the diaries and questionnaires using the BPI. Worst, least, average, and current pain scores were correlated with functional pain interference scores using Spearman's rank correlation coefficients. A general linear mixed model of each functional interference measure was performed over time for cycles 1-3 with each pain intensity dimension scale. RESULTS: Among worst, average, least, and current joint pain dimensions, average joint pain scores correlated best with all BPI interference responses while average muscle pain scores correlated best with all BPI interference responses except for sleeping probability and normal work. CONCLUSION: We recommend the BPI scale measuring average pain for future studies evaluating pain scores in patients experiencing taxane-induced arthralgia and myalgia.
PURPOSE: The purpose of this study was to assess which pain intensity dimension scale (worst, least, average, or current pain) from the Brief Pain Inventory (BPI) correlates most highly with functional interference scores in patients experiencing taxane-induced arthralgia and myalgia. METHODS:Breast cancerpatients scheduled to receive docetaxel, paclitaxel, or albumin-bound paclitaxel (nab-paclitaxel) were enrolled in the study. Patients completed an initial baseline questionnaire and subsequently filled out a diary based on the BPI on days 1-7, 14, and 21 for three consecutive treatment cycles. Pain scores for worst, least, average, and current pain intensity dimensions as well as pain interference scores were recorded in the diaries and questionnaires using the BPI. Worst, least, average, and current pain scores were correlated with functional pain interference scores using Spearman's rank correlation coefficients. A general linear mixed model of each functional interference measure was performed over time for cycles 1-3 with each pain intensity dimension scale. RESULTS: Among worst, average, least, and current joint pain dimensions, average joint pain scores correlated best with all BPI interference responses while average muscle pain scores correlated best with all BPI interference responses except for sleeping probability and normal work. CONCLUSION: We recommend the BPI scale measuring average pain for future studies evaluating pain scores in patients experiencing taxane-induced arthralgia and myalgia.
Authors: Charles L Loprinzi; Brandi N Reeves; Shaker R Dakhil; Jeff A Sloan; Sherry L Wolf; Kelli N Burger; Arif Kamal; Nguyet A Le-Lindqwister; Gamini S Soori; Anthony J Jaslowski; Paul J Novotny; Daniel H Lachance Journal: J Clin Oncol Date: 2011-03-07 Impact factor: 44.544
Authors: S Saibil; B Fitzgerald; O C Freedman; E Amir; J Napolskikh; N Salvo; G Dranitsaris; M Clemons Journal: Curr Oncol Date: 2010-08 Impact factor: 3.677
Authors: Nicholas Chiu; Liying Zhang; Rebecca Dent; Angie Giotis; Jenna van Draanen; Daniela Gallo-Hershberg; Leonard Chiu; Ronald Chow; Bo Angela Wan; Mark Pasetka; Jordan Stinson; Erica Stacey; Sunil Verma; Henry Lam; Edward Chow; Carlo DeAngelis Journal: Support Care Cancer Date: 2017-07-22 Impact factor: 3.603
Authors: Christine Miaskowski; Judy Mastick; Steven M Paul; Kimberly Topp; Betty Smoot; Gary Abrams; Lee-May Chen; Kord M Kober; Yvette P Conley; Margaret Chesney; Kay Bolla; Grace Mausisa; Melissa Mazor; Melisa Wong; Mark Schumacher; Jon D Levine Journal: J Pain Symptom Manage Date: 2017-01-04 Impact factor: 3.612
Authors: Aminah Jatoi; Megan E Grudem; Travis J Dockter; Matthew S Block; Jose C Villasboas; Angelina Tan; Erin Deering; Pashtoon M Kasi; Aaron S Mansfield; Juliana Perez Botero; Scott H Okuno; Deanne R Smith; Alan P Fields Journal: Support Care Cancer Date: 2016-11-12 Impact factor: 3.603
Authors: Rashi Asthana; Liying Zhang; Bo Angela Wan; Daniela Gallo-Hershberg; Angie Giotis; Mark Pasetka; Jenna van Draanen; Shannon Goodall; Patrick L Diaz; Leah Drost; Edward Chow; Carlo De Angelis Journal: Support Care Cancer Date: 2019-05-17 Impact factor: 3.603
Authors: Natalie Moryl; Vinnidhy Dave; Paul Glare; Ali Bokhari; Vivek T Malhotra; Amitabh Gulati; Joseph Hung; Vinay Puttanniah; Yvona Griffo; Roma Tickoo; Alison Wiesenthal; Susan D Horn; Charles E Inturrisi Journal: J Pain Date: 2017-11-14 Impact factor: 5.820
Authors: Stefan Schneider; Doerte U Junghaenel; Joan E Broderick; Masakatsu Ono; Marcella May; Arthur A Stone Journal: J Pain Date: 2020-10-24 Impact factor: 5.820