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Published in: BMC Anesthesiology 1/2020

Open Access 01-12-2020 | Hip-TEP | Research article

Using four different clinical tools as predictors for pain after total hip arthroplasty: a prospective cohort study

Authors: Anja Geisler, Josephine Zachodnik, Jens Laigaard, Laura S. Kruuse, Charlotte V. Sørensen, Magnus Sandberg, Eva I. Persson, Ole Mathiesen

Published in: BMC Anesthesiology | Issue 1/2020

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Abstract

Background

Treatment of postoperative pain remains a significant clinical problem, and prediction of patients with a risk of higher postoperative pain levels is an important focus. We aimed to identify patients undergoing total hip arthroplasty (THA) with risk of higher pain levels at 24 h postoperatively by using four simple and easily available clinical tools.

Methods

This prospective observational cohort study included 102 patients having THA at Zealand University Hospital in Denmark. The following predictive tools were investigated for identifying patients with higher postoperative pain levels at 24 h postoperatively, both at rest and during mobilization: preoperative pain by peripheral venous cannulation (PVC) (dichotomized according to numerical rating scale pain ≤ 2/> 2 (PVC-Low/PVC-High) (primary outcome); the post anesthesia care unit (PACU) nurses’ expectations of patients pain levels; patients early pain levels at the PACU; and patients own forecast of postoperative pain levels. The Mann-Whitney U test was used to analyze comparisons between prediction groups. For the primary outcome we considered a p-value < 0.01 as statistically significant and for other outcomes a p-value of 0.05.

Results

We found no significant differences between the PVC groups for pain during mobilization at 24-h postoperatively: PVC-Low: 6 (4–8) (median, (IQR)) versus PVC-High: 7 (5–8) (median, (IQR)), p = 0.10; and for pain at rest: PVC-Low 2 (0–3) (median, (IQR)) versus PVC-High 3 (2–5) (median, (IQR)), p = 0.12. Other comparisons performed between predictive groups did not differ significantly.

Conclusions

In this prospective cohort study of 102 THA patients, we did not find that preoperative pain by PVC, when using a cut-off point of NRS ≤ 2, were able to predict postoperative pain at 24 h postoperatively. Neither did PACU nurses’ prediction of pain, patients forecast of pain, nor did maximum pain levels at the PACU.

Trial registration

Retrospectively registered 20th February 2018 at ClinicalTrials.gov (NCT03439566).
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Literature
1.
go back to reference Gerbershagen HJ, Aduckathil S, van Wijck AJM, Peelen LM, Kalkman CJ, Meissner W. Pain intensity on the first day after surgery: a prospective cohort study comparing 179 surgical procedures. Anesthesiology. 2013;118(4):934–44.CrossRef Gerbershagen HJ, Aduckathil S, van Wijck AJM, Peelen LM, Kalkman CJ, Meissner W. Pain intensity on the first day after surgery: a prospective cohort study comparing 179 surgical procedures. Anesthesiology. 2013;118(4):934–44.CrossRef
2.
go back to reference Werner MU, Mjöbo HN, Nielsen PR, Rudin A. Prediction of postoperative pain: a systematic review of predictive experimental pain studies. Anesthesiology. 2010;112(6):1494–502.CrossRef Werner MU, Mjöbo HN, Nielsen PR, Rudin A. Prediction of postoperative pain: a systematic review of predictive experimental pain studies. Anesthesiology. 2010;112(6):1494–502.CrossRef
3.
go back to reference Persson AK, Pettersson FD, Dyrehag L-E, Åkeson J. Prediction of postoperative pain from assessment of pain induced by venous cannulation and propofol infusion. Acta Anaesthesiol Scand. 2016;60(2):166–76.CrossRef Persson AK, Pettersson FD, Dyrehag L-E, Åkeson J. Prediction of postoperative pain from assessment of pain induced by venous cannulation and propofol infusion. Acta Anaesthesiol Scand. 2016;60(2):166–76.CrossRef
4.
go back to reference Kehlet H, Dahl JB. Anaesthesia, surgery, and challenges in postoperative recovery. Lancet. 2003;362(9399):1921–8.CrossRef Kehlet H, Dahl JB. Anaesthesia, surgery, and challenges in postoperative recovery. Lancet. 2003;362(9399):1921–8.CrossRef
5.
go back to reference Lipson Amy R, Miano Sarah J, Daly Barbara J, Douglas SL. The Accuracy of Nurses’ Predictions for Clinical Outcomes in the Chronically Critically IllNo Title. Res Rev J Nurs Heal Sci. 2017;3:35–8. Lipson Amy R, Miano Sarah J, Daly Barbara J, Douglas SL. The Accuracy of Nurses’ Predictions for Clinical Outcomes in the Chronically Critically IllNo Title. Res Rev J Nurs Heal Sci. 2017;3:35–8.
6.
go back to reference Zachariasse JM, Van Der Lee D, Seiger N, De Vos-Kerkhof E, Oostenbrink R, Moll HA. The role of nurses’ clinical impression in the first assessment of children at the emergency department. Arch Dis Child. 2017;102(11):1052–6.CrossRef Zachariasse JM, Van Der Lee D, Seiger N, De Vos-Kerkhof E, Oostenbrink R, Moll HA. The role of nurses’ clinical impression in the first assessment of children at the emergency department. Arch Dis Child. 2017;102(11):1052–6.CrossRef
7.
go back to reference Horjales-Araujo E, Dahl JB. Is the experience of thermal pain genetics dependent? Biomed Res Int. 2015;2015:349584. Horjales-Araujo E, Dahl JB. Is the experience of thermal pain genetics dependent? Biomed Res Int. 2015;2015:349584.
8.
go back to reference Yun H, Ip V, Abrishami A, Peng PWH, Wong J, Chung F, et al. Predictors of postoperative pain and analgesic consumption a qualitative systematic review. Anesthesiology. 2009;111:657–77.CrossRef Yun H, Ip V, Abrishami A, Peng PWH, Wong J, Chung F, et al. Predictors of postoperative pain and analgesic consumption a qualitative systematic review. Anesthesiology. 2009;111:657–77.CrossRef
10.
go back to reference Alokozai A, Eppler SL, Lu LY, Sheikholeslami N, Kamal RN. Can patients forecast their postoperative disability and pain? Clin Orthop Relat Res. 2019;477(3):635–43.CrossRef Alokozai A, Eppler SL, Lu LY, Sheikholeslami N, Kamal RN. Can patients forecast their postoperative disability and pain? Clin Orthop Relat Res. 2019;477(3):635–43.CrossRef
11.
go back to reference Vranceanu A-M. CORR insights®. Clin Orthop Relat Res. 2019;477(4):905–7.CrossRef Vranceanu A-M. CORR insights®. Clin Orthop Relat Res. 2019;477(4):905–7.CrossRef
13.
go back to reference von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP, et al. The Strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. Int J Surg. 2014;12(12):1495–9.CrossRef von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP, et al. The Strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. Int J Surg. 2014;12(12):1495–9.CrossRef
14.
go back to reference Sullivan M, Bishop S, Pivik J. The pain catastrophizing scale: user manual. Psychol Assess. 1995;7(4):524–32 Available from: http://sullivan-painresearch.mcgill.ca/pdf/pcs/PCSManual_English.pdf%5Cn http://psycnet.apa.org/journals/pas/7/4/524/.CrossRef Sullivan M, Bishop S, Pivik J. The pain catastrophizing scale: user manual. Psychol Assess. 1995;7(4):524–32 Available from: http://​sullivan-painresearch.​mcgill.​ca/​pdf/​pcs/​PCSManual_​English.​pdf%5Cn http://psycnet.apa.org/journals/pas/7/4/524/.CrossRef
16.
go back to reference Landis JR, Koch GG. Landis_Jr__Koch_Gg_1977_Kappa_and_Observer_Agreement. Biometrics. 1977;33(1):159–74.CrossRef Landis JR, Koch GG. Landis_Jr__Koch_Gg_1977_Kappa_and_Observer_Agreement. Biometrics. 1977;33(1):159–74.CrossRef
18.
go back to reference Persson AKM, Åkeson J. Prediction of acute postoperative pain from assessment of pain associated with venous Cannulation. Pain Pract. 2019;19(2):158–67.CrossRef Persson AKM, Åkeson J. Prediction of acute postoperative pain from assessment of pain associated with venous Cannulation. Pain Pract. 2019;19(2):158–67.CrossRef
19.
go back to reference Drayer RA, Henderson J, Reidenberg M. Barriers to better pain control in hospitalized patients. J Pain Symptom Manag. 1999;17(6):434–40.CrossRef Drayer RA, Henderson J, Reidenberg M. Barriers to better pain control in hospitalized patients. J Pain Symptom Manag. 1999;17(6):434–40.CrossRef
20.
go back to reference Schafheutle EI, Cantrill JA, Noyce PR. Why is pain management suboptimal on surgical wards? J Adv Nurs. 2001;33(6):728–37.CrossRef Schafheutle EI, Cantrill JA, Noyce PR. Why is pain management suboptimal on surgical wards? J Adv Nurs. 2001;33(6):728–37.CrossRef
21.
go back to reference Sipilä RM, Haasio L, Meretoja TJ, Ripatti S, Estlander AM, Kalso EA. Does expecting more pain make it more intense? Factors associated with the first week pain trajectories after breast cancer surgery. Pain. 2017;158(5):922–30.CrossRef Sipilä RM, Haasio L, Meretoja TJ, Ripatti S, Estlander AM, Kalso EA. Does expecting more pain make it more intense? Factors associated with the first week pain trajectories after breast cancer surgery. Pain. 2017;158(5):922–30.CrossRef
Metadata
Title
Using four different clinical tools as predictors for pain after total hip arthroplasty: a prospective cohort study
Authors
Anja Geisler
Josephine Zachodnik
Jens Laigaard
Laura S. Kruuse
Charlotte V. Sørensen
Magnus Sandberg
Eva I. Persson
Ole Mathiesen
Publication date
01-12-2020
Publisher
BioMed Central
Keywords
Hip-TEP
Hip-TEP
Published in
BMC Anesthesiology / Issue 1/2020
Electronic ISSN: 1471-2253
DOI
https://doi.org/10.1186/s12871-020-00959-2

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