Marie T Aouad1, Ghassan E Kanazi1, Krystel Malek1, Hani Tamim2, Lama Zahreddine1, Roland N Kaddoum3. 1. Department of Anesthesiology, American University of Beirut Medical Center, PO Box 11-0236, Beirut, Lebanon. 2. Clinical Research Institute, American University of Beirut Medical Center, Beirut, Lebanon. 3. Department of Anesthesiology, American University of Beirut Medical Center, PO Box 11-0236, Beirut, Lebanon. rk16@aub.edu.lb.
Abstract
PURPOSE: A prospective observational study is conducted to identify independent predictors of pain and morphine consumption following abdominal hysterectomy. METHODS: Preoperative State Trait Anxiety Inventory (STAI), Numerical Rating Scales (NRS) for anxiety and pain expectations, thermal pain thresholds and pain scores at forearm and incision site, and pain scores generated from the insertion of an intravenous catheter were measured in female patients undergoing abdominal hysterectomy. Pearson correlations between the predictors and the two outcome measures postoperative pain scores and morphine consumption were studied and multiple regression analysis was conducted to identify independent predictors (primary outcome). Secondary outcomes included cut-off values of predictive tools for morphine consumption. RESULTS: Data from 60 patients were analyzed. STAI state anxiety, NRS pain expectations, and NRS anxiety scores were identified as independent predictors of postoperative morphine consumption. We identified a cut-off value of 4.5 (sensitivity 90 %, specificity of 60 %) for the NRS anxiety and a cut-off of 42.5 (sensitivity 70 %, specificity 70 %) for the state anxiety STAI score for increased postoperative morphine consumption. CONCLUSIONS: Preoperative STAI state anxiety scores and NRS pain expectations are independent predictors for increased morphine consumption following hysterectomy. The STAI state anxiety tool and NRS 0-10 anxiety tool can be used interchangeably. The NRS 0-10 anxiety is a much simpler tool than STAI state anxiety and is associated with a higher sensitivity for high morphine consumption. Thermal pain thresholds and IV pain scores were not predictive of postoperative morphine consumption.
PURPOSE: A prospective observational study is conducted to identify independent predictors of pain and morphine consumption following abdominal hysterectomy. METHODS: Preoperative State Trait Anxiety Inventory (STAI), Numerical Rating Scales (NRS) for anxiety and pain expectations, thermal pain thresholds and pain scores at forearm and incision site, and pain scores generated from the insertion of an intravenous catheter were measured in female patients undergoing abdominal hysterectomy. Pearson correlations between the predictors and the two outcome measures postoperative pain scores and morphine consumption were studied and multiple regression analysis was conducted to identify independent predictors (primary outcome). Secondary outcomes included cut-off values of predictive tools for morphine consumption. RESULTS: Data from 60 patients were analyzed. STAI state anxiety, NRS pain expectations, and NRS anxiety scores were identified as independent predictors of postoperative morphine consumption. We identified a cut-off value of 4.5 (sensitivity 90 %, specificity of 60 %) for the NRS anxiety and a cut-off of 42.5 (sensitivity 70 %, specificity 70 %) for the state anxiety STAI score for increased postoperative morphine consumption. CONCLUSIONS: Preoperative STAI state anxiety scores and NRS pain expectations are independent predictors for increased morphine consumption following hysterectomy. The STAI state anxiety tool and NRS 0-10 anxiety tool can be used interchangeably. The NRS 0-10 anxiety is a much simpler tool than STAI state anxiety and is associated with a higher sensitivity for high morphine consumption. Thermal pain thresholds and IV pain scores were not predictive of postoperative morphine consumption.
Authors: Peter H Pan; Robert Coghill; Timothy T Houle; Melvin H Seid; W Michael Lindel; R Lamar Parker; Scott A Washburn; Lynne Harris; James C Eisenach Journal: Anesthesiology Date: 2006-03 Impact factor: 7.892
Authors: Dan Benhamou; Marco Berti; Gerhard Brodner; Jose De Andres; Gaetano Draisci; Mariano Moreno-Azcoita; Edmund A M Neugebauer; Wolfgang Schwenk; Luis Miguel Torres; Eric Viel Journal: Pain Date: 2007-08-20 Impact factor: 6.961