The Adolescent Knee Pain (AK-Pain) prognostic tool: protocol for a prospective cohort study

Alessandro Andreucci, Sinead Holden, Martin Bach Jensen, Michael Skovdal Rathleff, Alessandro Andreucci, Sinead Holden, Martin Bach Jensen, Michael Skovdal Rathleff

Abstract

Background: One in three children and adolescents experience knee pain. Approximately one in two adolescents with knee pain will continue to experience pain even five years later and have low quality of life. The general practitioner (GP) is the first point of contact for children and adolescents with knee pain in Denmark. There is a variety of treatments being delivered in general practice, despite similar symptoms and patients' characteristics. This suggests a need to support the GPs in identifying those at high risk of a poor outcome early on, in order to better allocate resources. The aim of this study is to develop a user-friendly prognostic tool to support GPs' management of children and adolescents' knee pain. Methods: A preliminary set of items in the prognostic tool were identified using systematic reviews and meta-analysis of individual participant data. Following feedback from GPs and children and adolescents on the content and understanding, the tool was piloted and implemented in general practice. A cohort of approximately 300 children and adolescents (age 8-19 years old) is being recruited from general practices (recruitment period, July 2019 - June 2020). Clinically meaningful risk groups (e.g. low/medium/high) for the recurrence/persistence of knee pain (at 3 and 6 months) will be identified. Discussion: If successful, this prognostic tool will allow GPs to gain insights into the likely prognosis of adolescents with knee pain and subsequently provide the first building blocks towards stratified care, where treatments will be matched to the patients' prognostic profile. This has the potential to improve the recovery of children and adolescents from knee pain, to improve the allocation of resources in primary care, and to avoid the decline in physical activity and potential associated health and social consequences due to adolescent knee pain. Registration: Registered with ClinicalTrials.gov on 24 June 2019 (ID NCT03995771).

Keywords: Adolescent; Knee pain; Prognosis; Prognostic factor.

Conflict of interest statement

No competing interests were disclosed.

Copyright: © 2020 Andreucci A et al.

Figures

Figure 1.. Recruitment and retainment of participants…
Figure 1.. Recruitment and retainment of participants in the study.
Figure 2.. Adolescent Knee Pain prognostic tool.
Figure 2.. Adolescent Knee Pain prognostic tool.

References

    1. Rathleff MS, Rathleff CR, Olesen JL, et al. : Is Knee Pain During Adolescence a Self-limiting Condition? Prognosis of Patellofemoral Pain and Other Types of Knee Pain. Am J Sports Med. 2016;44(5):1165–71. 10.1177/0363546515622456
    1. Huguet A, Tougas ME, Hayden J, et al. : Systematic review with meta-analysis of childhood and adolescent risk and prognostic factors for musculoskeletal pain. Pain. 2016;157(12):2640–56. 10.1097/j.pain.0000000000000685
    1. Groenewald CB, Essner BS, Wright D, et al. : The economic costs of chronic pain among a cohort of treatment-seeking adolescents in the United States. J Pain. 2014;15(9):925–33. 10.1016/j.jpain.2014.06.002
    1. Henschke N, Harrison C, McKay D, et al. : Musculoskeletal conditions in children and adolescents managed in Australian primary care. BMC Musculoskelet Disord. 2014;15:164. 10.1186/1471-2474-15-164
    1. Rathleff MS, Holden S, Straszek CL, et al. : Five-year prognosis and impact of adolescent knee pain: a prospective population-based cohort study of 504 adolescents in Denmark. BMJ Open. 2019;9(5):e024113. 10.1136/bmjopen-2018-024113
    1. Rathleff CR, Olesen JL, Roos EM, et al. : Half of 12-15-year-olds with knee pain still have pain after one year. Dan Med J. 2013;60(11):A4725.
    1. Rathleff MS: Patellofemoral pain during adolescence: much more prevalent than appreciated. Br J Sports Med. 2016;50(14):831–2. 10.1136/bjsports-2016-096328
    1. Haraldstad K, Sørum R, Eide H, et al. : Pain in children and adolescents: prevalence, impact on daily life, and parents' perception, a school survey. Scand J Caring Sci. 2011;25(1):27–36. 10.1111/j.1471-6712.2010.00785.x
    1. Kosola S, Mundy LK, Sawyer SM, et al. : Pain and learning in primary school: a population-based study. Pain. 2017;158(9):1825–30. 10.1097/j.pain.0000000000000984
    1. Sandow JM, Goodfwllow JW: The natural history of anterior knee pain in adolescents. J Bone Joint Surg Br. 1985;67(1):36–8. 10.1302/0301-620x.67b1.3968140
    1. Holm S, Ljungman G, Söderlund A: Pain in children and adolescents in primary care; chronic and recurrent pain is common. Acta Paediatr. 2012;101(12):1246–52. 10.1111/j.1651-2227.2012.02829.x
    1. Buck R, Wynne-Jones G, Varnava A, et al. : Working with Musculoskeletal Pain. Rev Pain. 2009;3(1):6–10. 10.1177/204946370900300103
    1. Peat G, McCarney R, Croft P: Knee pain and osteoarthritis in older adults: a review of community burden and current use of primary health care. Ann Rheum Dis. 2001;60(2):91–7. 10.1136/ard.60.2.91
    1. Jinks C, Jordan K, Ong BN, et al. : A brief screening tool for knee pain in primary care (KNEST). 2. Results from a survey in the general population aged 50 and over. Rheumatology (Oxford). 2004;43(1):55–61. 10.1093/rheumatology/keg438
    1. Thomas E, Dunn KM, Mallen C, et al. : A prognostic approach to defining chronic pain: application to knee pain in older adults. Pain. 2009;139(2):389–97. 10.1016/j.pain.2008.05.010
    1. Hestbaek L, Leboeuf-Yde C, Kyvik KO: Are lifestyle-factors in adolescence predictors for adult low back pain? A cross-sectional and prospective study of young twins. BMC Musculoskelet Disord. 2006;7:27. 10.1186/1471-2474-7-27
    1. Peat G, Riley RD, Croft P, et al. : Improving the transparency of prognosis research: the role of reporting, data sharing, registration, and protocols. PLoS Med. 2014;11(7):e1001671. 10.1371/journal.pmed.1001671
    1. Croft P, Altman DG, Deeks JJ, et al. : The science of clinical practice: disease diagnosis or patient prognosis? Evidence about "what is likely to happen" should shape clinical practice. BMC Med. 2015;13(1):20. 10.1186/s12916-014-0265-4
    1. Simons LE, Smith A, Ibagon C, et al. : Pediatric Pain Screening Tool: rapid identification of risk in youth with pain complaints. Pain. 2015;156(8):1511–8. 10.1097/j.pain.0000000000000199
    1. Hill JC, Dunn KM, Lewis M, et al. : A primary care back pain screening tool: identifying patient subgroups for initial treatment. Arthritis Rheum. 2008;59(5):632–41. 10.1002/art.23563
    1. Andreucci A: "SPIRIT checklist". Harvard Dataverse, V1.2019. 10.7910/DVN/SIO5WG
    1. Riis A, Jensen CE, Maindal HT, et al. : Recruitment of general practices: Is a standardised approach helpful in the involvement of healthcare professionals in research? SAGE Open Med. 2016;4:2050312116662802. 10.1177/2050312116662802
    1. von Baeyer CL, Lin V, Seidman LC, et al. : Pain charts (body maps or manikins) in assessment of the location of pediatric pain. Pain Manag. 2011;1(1):61–8. 10.2217/pmt.10.2
    1. Michaleff ZA, Kamper SJ, Stinson JN, et al. : Measuring Musculoskeletal Pain in Infants, Children, and Adolescents. J Orthop Sport Phys Ther. 2017;47(10):712–30. 10.2519/jospt.2017.7469
    1. Stinson JN, Kavanagh T, Yamada J, et al. : Systematic review of the psychometric properties, interpretability and feasibility of self-report pain intensity measures for use in clinical trials in children and adolescents. Pain. 2006;125(1–2):143–57. 10.1016/j.pain.2006.05.006
    1. World Health Organization: WHO - Definition of key terms.2013; [cited 2018 Sep 3].
    1. Andreucci A: "Final questionnaire". Harvard Dataverse, V1.2019. 10.7910/DVN/QKWOOT
    1. Harris PA, Taylor R, Thielke R, et al. : Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inf. 2009;42(2):377–81. 10.1016/j.jbi.2008.08.010
    1. Örtqvist M, Roos EM, Broström EW, et al. : Development of the Knee Injury and Osteoarthritis Outcome Score for children (KOOS-Child): comprehensibility and content validity. Acta Orthop. 2012;83(6):666–73. 10.3109/17453674.2012.747921
    1. Ortqvist M, Iversen MD, Janarv PM, et al. : Psychometric properties of the Knee injury and Osteoarthritis Outcome Score for Children (KOOS-Child) in children with knee disorders. Br J Sports Med. 2014;48(19):1437–46. 10.1136/bjsports-2013-093164
    1. Pourbordbari N, Riis A, Jensen MB, et al. : Poor prognosis of child and adolescent musculoskeletal pain: a systematic literature review. BMJ Open. 2019;9(7):e024921. 10.1136/bmjopen-2018-024921
    1. Iversen MD, Lee B, Connell P, et al. : Validity and comprehensibility of the International Knee Documentation Committee Subjective Knee Evaluation form in Children. Scand J Med Sci Sport. 2010;20(1):e87–95. 10.1111/j.1600-0838.2009.00917.x
    1. Terwee CB, Bot SD, de Boer MR, et al. : Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol. 2007;60(1):34–42. 10.1016/j.jclinepi.2006.03.012
    1. Varni JW, Stucky BD, Thissen D, et al. : PROMIS Pediatric Pain Interference Scale: An Item Response Theory Analysis of the Pediatric Pain Item Bank. J Pain. 2010;11(11):1109–19. 10.1016/j.jpain.2010.02.005
    1. Andreucci A: "Questionnaire for cognitive interviews". Harvard Dataverse, V1.2019. 10.7910/DVN/UT1MGD
    1. Robins H, Perron V, Heathcote L, et al. : Pain Neuroscience Education: State of the Art and Application in Pediatrics. Children (Basel). 2016;3(4):pii: E43. 10.3390/children3040043
    1. Andreucci A: "Final dataset without identifiers.tab", Dataset to test the stability of the prognostic tool. 2019; Harvard Dataverse, V1. 10.7910/DVN/SMQRKA/6IUDQG
    1. Vuorimaa H, Leppänen L, Kautiainen H, et al. : Risk severity moderated effectiveness of pain treatment in adolescents. Scand J Pain. 2019;19(2):287–98. 10.1515/sjpain-2018-0312
    1. Palermo TM, Law EF, Zhou C, et al. : Trajectories of Change During a Randomized Controlled Trial of Internet-delivered Psychological Treatment for Adolescent Chronic Pain: How does Change in Pain and Function Relate? Pain. 2015;156(4):626–34. 10.1097/01.j.pain.0000460355.17246.6c
    1. Kocher MS, Smith JT, Iversen MD, et al. : Reliability, validity, and responsiveness of a modified international knee documentation committee subjective knee form (Pedi-IKDC) in children with knee disorders. Am J Sports Med. 2011;39(5):933–9. 10.1177/0363546510383002
    1. Michaleff ZA, Campbell P, Protheroe J, et al. : Consultation patterns of children and adolescents with knee pain in UK general practice: analysis of medical records. BMC Musculoskelet Disord. 2017;18(1):239. 10.1186/s12891-017-1586-1
    1. de Inocencio J: Musculoskeletal pain in primary pediatric care: analysis of 1000 consecutive general pediatric clinic visits. Pediatrics. 1998;102(6):E63. 10.1542/peds.102.6.e63
    1. Tan A, Strauss VY, Protheroe J, et al. : Epidemiology of paediatric presentations with musculoskeletal problems in primary care. BMC Musculoskelet Disord. 2018;19(1):40. 10.1186/s12891-018-1952-7
    1. Riis A, Jensen CE, Bro F, et al. : Enhanced implementation of low back pain guidelines in general practice: study protocol of a cluster randomised controlled trial. Implement Sci. 2013;8:124. 10.1186/1748-5908-8-124
    1. Kringos D, Boerma W, Bourgueil Y, et al. : The strength of primary care in Europe: An international comparative study. Br J Gen Pract. 2013;63(616):e742–50. 10.3399/bjgp13X674422
    1. Delgado-Rodríguez M, Llorca J: Bias. J Epidemiol Community Health. 2004;58(8):635–41. 10.1136/jech.2003.008466
    1. Cardy A, Holden S, Watson D, et al. : Recruiting children onto research studies by the Scottish Primary Care Research Network: A real team effort. Qual Prim Care. 2012;20(3):199–206.
    1. Karran EL, McAuley JH, Traeger AC, et al. : Can screening instruments accurately determine poor outcome risk in adults with recent onset low back pain? A systematic review and meta-analysis. BMC Med. 2017;15(1):13. 10.1186/s12916-016-0774-4
    1. Campbell SM, Roland MO: Why do people consult the doctor? Fam Pract. 1996;13(1):75–83. 10.1093/fampra/13.1.75
    1. Last JM, Adelaide DP: The iceberg: 'completing the clinical picture' in general practice. 1963. Int J Epidemiol. 2013;42(6):1608–13. 10.1093/ije/dyt113
    1. Bhopal R: Concepts of Epidemiology - an integrated introduction to the ideas, theories, principles and methods of epidemiology. 2nd ed. Oxford University Press.2002;456
    1. Heathcote LC, Rabner J, Lebel A, et al. : Rapid screening of risk in pediatric headache: Application of the pediatric pain screening tool. J Pediatr Psychol. 2018;43(3):243–51. 10.1093/jpepsy/jsx123
    1. Morsø L, Kent P, Manniche C, et al. : The predictive ability of the STarT Back Screening Tool in a Danish secondary care setting. Eur Spine J. 2014;23(1):120–8. 10.1007/s00586-013-2861-y

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