Literature DB >> 28702950

Gender, ethnicity and smoking affect pain and function in patients with rotator cuff tears.

Anthony Maher1, Warren Leigh2, Matt Brick2, Simon Young3, James Millar4, Cameron Walker4, Michael Caughey5.   

Abstract

BACKGROUND: This study is a collation of baseline demographic characteristics of those presenting for rotator cuff repair in New Zealand, and exploration of associations with preoperative function and pain. Data were obtained from the New Zealand Rotator Cuff Registry; a multicentre, nationwide prospective cohort of rotator cuff repairs undertaken from 1 March 2009 until 31 December 2010.
METHODS: A total of 1383 patients were included in the study. This required complete demographic information, preoperative Flex-SF (functional score) and pain scores. Following univariate analysis, a multivariate model was used.
RESULTS: The average age was 58 years (69% males and 11% smokers). New Zealand Europeans made up 90% and Maori 5%. The average preoperative Flex-SF was significantly lower (poorer function) in those over 65 years, females, smokers and Maori, in the non-dominant patients, using a multivariate model. Average preoperative pain scores were significantly worse (higher scores) in females, Maori, Polynesians, smokers, using a multivariate model.
CONCLUSION: This is the largest reported prospective cohort of patients presenting for rotator cuff surgery. Results can be used to understand the effect of rotator cuff tears on the different patients, for example Maori patients who are under-represented, present younger, with more pain and poorer function.
© 2017 Royal Australasian College of Surgeons.

Entities:  

Keywords:  function; pain; registry; rotator cuff; rotator cuff surgery

Mesh:

Year:  2017        PMID: 28702950     DOI: 10.1111/ans.13921

Source DB:  PubMed          Journal:  ANZ J Surg        ISSN: 1445-1433            Impact factor:   1.872


  5 in total

1.  Associations of Preoperative Patient Mental Health and Sociodemographic and Clinical Characteristics With Baseline Pain, Function, and Satisfaction in Patients Undergoing Rotator Cuff Repairs.

Authors:  Sambit Sahoo; Eric T Ricchetti; Alexander Zajichek; Peter J Evans; Lutul D Farrow; Brett W McCoy; Morgan H Jones; Anthony A Miniaci; Vani J Sabesan; Mark S Schickendantz; William H Seitz; Kurt P Spindler; Kim L Stearns; Greg Strnad; Alparslan Turan; Vahid Entezari; Peter B Imrey; Joseph P Iannotti; Kathleen A Derwin
Journal:  Am J Sports Med       Date:  2019-12-18       Impact factor: 6.202

2.  Development and Validation of an Electronic Medical Record Algorithm to Identify Phenotypes of Rotator Cuff Tear.

Authors:  Chan Gao; Run Fan; Gregory D Ayers; Ayush Giri; Kindred Harris; Ravi Atreya; Pedro L Teixeira; Nitin B Jain
Journal:  PM R       Date:  2020-04-29       Impact factor: 2.298

3.  Epidemiology of tendon and ligament injuries in Aotearoa/New Zealand between 2010 and 2016.

Authors:  Sita T Clark; Mark Zhu; Greg D Gamble; Dorit Naot; Sarah-Jane Paine; Nicola Dalbeth; Jillian Cornish; David S Musson
Journal:  Inj Epidemiol       Date:  2020-02-10

4.  Risk factors for degenerative, symptomatic rotator cuff tears: a case-control study.

Authors:  Amos Song; Damien Cannon; Peter Kim; Gregory D Ayers; Chan Gao; Ayush Giri; Nitin B Jain
Journal:  J Shoulder Elbow Surg       Date:  2021-10-20       Impact factor: 3.507

5.  β3-Adrenergic receptor agonist treats rotator cuff fatty infiltration by activating beige fat in mice.

Authors:  Zili Wang; Xuhui Liu; Mengyao Liu; Kunqi Jiang; Shingo Kajimura; Hubert Kim; Brian T Feeley
Journal:  J Shoulder Elbow Surg       Date:  2020-06-27       Impact factor: 3.019

  5 in total

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