Literature DB >> 33019268

Pain and Physical Activity Association in Critically Ill Patients.

Anis Davoudi, Tezcan Ozrazgat-Baslanti, Patrick J Tighe, Azra Bihorac, Parisa Rashidi.   

Abstract

Critical care patients experience varying levels of pain during their stay in the intensive care unit, often requiring administration of analgesics and sedation. Such medications generally exacerbate the already sedentary physical activity profiles of critical care patients, contributing to delayed recovery. Thus, it is important not only to minimize pain levels, but also to optimize analgesic strategies in order to maximize mobility and activity of ICU patients. Currently, we lack an understanding of the relation between pain and physical activity on a granular level. In this study, we examined the relationship between nurse assessed pain scores and physical activity as measured using a wearable accelerometer device. We found that average, standard deviation, and maximum physical activity counts are significantly higher before high pain reports compared to before low pain reports during both daytime and nighttime, while percentage of time spent immobile was not significantly different between the two pain report groups. Clusters detected among patients using extracted physical activity features were significant in adjusted logistic regression analysis for prediction of pain report group.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 33019268      PMCID: PMC7592073          DOI: 10.1109/EMBC44109.2020.9176227

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  10 in total

1.  Assessing pain control in nonverbal critically ill adults.

Authors:  Margaret Odhner; Deborah Wegman; Nancy Freeland; Ann Steinmetz; Gail L Ingersoll
Journal:  Dimens Crit Care Nurs       Date:  2003 Nov-Dec

Review 2.  An approach to drug induced delirium in the elderly.

Authors:  K Alagiakrishnan; C A Wiens
Journal:  Postgrad Med J       Date:  2004-07       Impact factor: 2.401

Review 3.  Pain Assessment in Noncommunicative Adult Palliative Care Patients.

Authors:  Deborah B McGuire; Karen Snow Kaiser; Mary Ellen Haisfield-Wolfe; Florence Iyamu
Journal:  Nurs Clin North Am       Date:  2016-09       Impact factor: 1.208

4.  Accelerometer-based devices can be used to monitor sedation/agitation in the intensive care unit.

Authors:  Rishi Raj; Kamonpun Ussavarungsi; Kenneth Nugent
Journal:  J Crit Care       Date:  2014-05-28       Impact factor: 3.425

5.  The measurement of pain in intensive care unit: comparison of 5 self-report intensity scales.

Authors:  Gérald Chanques; Eric Viel; Jean-Michel Constantin; Boris Jung; Sylvie de Lattre; Julie Carr; Moussa Cissé; Jean-Yves Lefrant; Samir Jaber
Journal:  Pain       Date:  2010-09-16       Impact factor: 6.961

6.  Automated sedation outperforms manual administration of propofol and remifentanil in critically ill patients with deep sedation: a randomized phase II trial.

Authors:  Morgan Le Guen; Ngai Liu; Eric Bourgeois; Thierry Chazot; Daniel I Sessler; Jean-Jacques Rouby; Marc Fischler
Journal:  Intensive Care Med       Date:  2012-12-06       Impact factor: 17.440

Review 7.  A validated approach to evaluating psychometric properties of pain assessment tools for use in nonverbal critically ill adults.

Authors:  Céline Gélinas; Kathleen A Puntillo; Aaron M Joffe; Juliana Barr
Journal:  Semin Respir Crit Care Med       Date:  2013-05-28       Impact factor: 3.119

8.  A clinical trial of the Braden Scale for Predicting Pressure Sore Risk.

Authors:  N Bergstrom; P J Demuth; B J Braden
Journal:  Nurs Clin North Am       Date:  1987-06       Impact factor: 1.208

9.  Preliminary validation of the Defense and Veterans Pain Rating Scale (DVPRS) in a military population.

Authors:  Chester C Buckenmaier; Kevin T Galloway; Rosemary C Polomano; Mary McDuffie; Nancy Kwon; Rollin M Gallagher
Journal:  Pain Med       Date:  2012-11-08       Impact factor: 3.750

10.  Intelligent ICU for Autonomous Patient Monitoring Using Pervasive Sensing and Deep Learning.

Authors:  Anis Davoudi; Kumar Rohit Malhotra; Benjamin Shickel; Scott Siegel; Seth Williams; Matthew Ruppert; Emel Bihorac; Tezcan Ozrazgat-Baslanti; Patrick J Tighe; Azra Bihorac; Parisa Rashidi
Journal:  Sci Rep       Date:  2019-05-29       Impact factor: 4.379

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.