OBJECTIVE/ BACKGROUND: Although shoulder pain is a problem in up to 86% of persons with a spinal cord injury (SCI), so far, no studies have empirically identified longitudinal patterns (trajectories) of musculoskeletal shoulder pain after SCI. The objective of this study was: (1) to identify distinct trajectories of musculoskeletal shoulder pain in persons with SCI, and (2) to determine possible predictors of these trajectories. DESIGN/ METHODS: Multicenter, prospective cohort study in 225 newly injured persons with SCI. OUTCOME MEASURE: Shoulder pain was assessed on five occasions up to 5 years after discharge. Latent class growth mixture modeling was used to identify the distinct shoulder pain trajectories. RESULTS: Three distinct shoulder pain trajectories were identified: (1) a "No or Low pain" trajectory (64%), (2) a "High pain" (30%) trajectory, and (3) a trajectory with a "Decrease of pain" (6%). Compared with the "No or Low pain" pain trajectory, the "High pain" trajectory consisted of more persons with tetraplegia, shoulder pain before injury, limited shoulder range of motion (ROM), lower manual muscle test scores, or more spasticity at t1. Multiple logistic regression analysis showed two significant predictors for the "High pain" trajectory (as compared with the "No or Low pain" trajectory): having a tetraplegia (odds ratio (OR) = 3.2; P = 0.002) and having limited shoulder ROM (OR = 2.8; P = 0.007). CONCLUSION: Shoulder pain in people with SCI follows distinct trajectories. At risk for belonging to the "High pain" trajectory are persons with tetraplegia and those with a limited shoulder ROM at start of active rehabilitation.
OBJECTIVE/ BACKGROUND: Although shoulder pain is a problem in up to 86% of persons with a spinal cord injury (SCI), so far, no studies have empirically identified longitudinal patterns (trajectories) of musculoskeletal shoulder pain after SCI. The objective of this study was: (1) to identify distinct trajectories of musculoskeletal shoulder pain in persons with SCI, and (2) to determine possible predictors of these trajectories. DESIGN/ METHODS: Multicenter, prospective cohort study in 225 newly injured persons with SCI. OUTCOME MEASURE: Shoulder pain was assessed on five occasions up to 5 years after discharge. Latent class growth mixture modeling was used to identify the distinct shoulder pain trajectories. RESULTS: Three distinct shoulder pain trajectories were identified: (1) a "No or Low pain" trajectory (64%), (2) a "High pain" (30%) trajectory, and (3) a trajectory with a "Decrease of pain" (6%). Compared with the "No or Low pain" pain trajectory, the "High pain" trajectory consisted of more persons with tetraplegia, shoulder pain before injury, limited shoulder range of motion (ROM), lower manual muscle test scores, or more spasticity at t1. Multiple logistic regression analysis showed two significant predictors for the "High pain" trajectory (as compared with the "No or Low pain" trajectory): having a tetraplegia (odds ratio (OR) = 3.2; P = 0.002) and having limited shoulder ROM (OR = 2.8; P = 0.007). CONCLUSION: Shoulder pain in people with SCI follows distinct trajectories. At risk for belonging to the "High pain" trajectory are persons with tetraplegia and those with a limited shoulder ROM at start of active rehabilitation.
Authors: Bryan J Kemp; Adam L Bateham; Sara J Mulroy; Lilli Thompson; Rodney H Adkins; Jason S Kahan Journal: J Spinal Cord Med Date: 2011 Impact factor: 1.985
Authors: Stefan van Drongelen; Lucas H van der Woude; Thomas W Janssen; Edmond L Angenot; Edward K Chadwick; Dirkjan H Veeger Journal: Arch Phys Med Rehabil Date: 2005-07 Impact factor: 3.966
Authors: Sacha A van Langeveld; Marcel W Post; Floris W van Asbeck; Karin Postma; Jacqueline Leenders; Kees Pons Journal: Arch Phys Med Rehabil Date: 2008-08 Impact factor: 3.966
Authors: Sacha A van Langeveld; Marcel W Post; Floris W van Asbeck; Paul Ter Horst; Jacqueline Leenders; Karin Postma; Eline Lindeman Journal: Arch Phys Med Rehabil Date: 2009-07 Impact factor: 3.966
Authors: Shelby L Walford; Philip S Requejo; Sara J Mulroy; Richard R Neptune Journal: Clin Biomech (Bristol, Avon) Date: 2019-03-06 Impact factor: 2.063
Authors: Carolina Lins; Alex Castro; Giovanna I S Medina; Eliza R F B M Azevedo; Bruno S Donato; Marina S S Chagas; Janaína Roland Tancredo; Letícia Vargas de Almeida; Alberto Cliquet Journal: J Spinal Cord Med Date: 2017-11-16 Impact factor: 1.985
Authors: Y Kentar; R Zastrow; H Bradley; M Brunner; W Pepke; T Bruckner; P Raiss; A Hug; H Almansour; M Akbar Journal: Spinal Cord Date: 2018-01-24 Impact factor: 2.772
Authors: G Landmann; E-C Chang; W Dumat; A Lutz; R Müller; A Scheel-Sailer; K Schwerzmann; N Sigajew; A Ljutow Journal: Schmerz Date: 2017-10 Impact factor: 1.107
Authors: D C Barbetta; A C G Lopes; F N M R Chagas; P T Soares; F M Casaro; M F Poletto; Y H de Carvalho Paiva Ribeiro; T O Ogashawara Journal: Spinal Cord Date: 2015-07-28 Impact factor: 2.772