Course and predictors of pain and physical functioning in patients with hip osteoarthritis: Systematic review and meta-analysis

Rooij, M. de; Leeden, M. van der; Heymans, Martijn W.; Holla, Jasmijn; Häkkinen, Arja; Lems, Willem F.; Roorda, Leo D.; Veenhof, Cindy; Sanchez-Ramirez, Diana C.; Vet, Henrica C.W. de; Dekker, Joost

doi:10.2340/16501977-2057

Cited by 37 publications

(47 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thousands of prognostic factor research studies are published within the medical literature each year (Altman & Riley, 2005;Riley et al, 2013). A large number of these cohort studies have focused on identifying predictors of outcome within a MSK context, including for specific MSK conditions such as low back pain, shoulder pain and hip pain, with well conducted systematic reviews summarising agreement on the most important predictive factors (Kooijman et al, 2015;de Rooij et al, 2016;Struyf, Geeraerts, Noten, Meeus, & Nijs, 2016;Verkerk, Luijsterburg, Miedema, Pool-Goudzwaard, & Koes, 2012). Predictive patient factors emerging from these reviews include: symptom duration, disability level, previous episode, pain severity, baseline function and level of comorbidity (Kooijman et al, 2015;de Rooij et al, 2016;Struyf et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Predictors of functional outcome in musculoskeletal healthcare: An umbrella review

Burgess

Mansell

Bishop

et al. 2019

European Journal of Pain

View full text Add to dashboard Cite

Background Multiple cohort and systematic review studies exist, reporting independent predictive factors associated with outcome in musculoskeletal populations. These studies have found evidence for a number of “generic” factors that have been shown to predict outcome across musculoskeletal patient cohorts. This review provides a higher level review of the evidence with a focus on generic patient factors associated with functional musculoskeletal outcome with a view to informing predictive modelling. Objectives (a) Identify patient factors found to have evidence to support their association with functional outcome, and (b) review these findings across body areas/conditions to identify generic predictive factors. Databases and Data Treatment Electronic databases of MEDLINE, AMED, EMBASE, CINAHL and Cochrane were searched for eligible studies. Two reviewers independently extracted data and assessed quality using an established checklist for umbrella reviews. Results Twenty‐one systematic reviews met inclusion criteria, all were of moderate/high quality. Six independent predictors were found to have strong evidence of association with worse musculoskeletal functional outcome across anatomical body sites (worse baseline function, higher symptom/pain severity, worse mental well‐being, more comorbidities, older age and higher body mass index). Longer duration of symptoms, worse pain coping, presence of workers compensation, lower vitality and lower education were also found to have moderate evidence of association with worse functional outcome across body sites. Conclusions This study identifies a number of factors associated with musculoskeletal functional outcome. The generic predictive factors identified should be considered for inclusion into musculoskeletal prognostic models, including models used for case‐mix‐adjustment of patient reported outcome measure data. Significance This article identifies “generic” patient factors that predict functional outcome (measured using Patient Reported Outcome Measures (PROMs)) across musculoskeletal conditions. Findings provide support for the development and content of generic musculoskeletal prognostic models including models used to case‐mix adjust PROM data for baseline complexity. Generic musculoskeletal models and functional PROMs would facilitate more feasible comparison and benchmarking of musculoskeletal services in order to identify variation and address health inequalities.

show abstract

Section: Introductionmentioning

confidence: 99%

Predictors of functional outcome in musculoskeletal healthcare: An umbrella review

Burgess

Mansell

Bishop

et al. 2019

European Journal of Pain

View full text Add to dashboard Cite

show abstract

“…Although, in our study, obesity did not demonstrate a statistically significant association with pain interference in our adjusted models, it resulted in a highest adjusted PAR (8.4%), although this was not statistically significant. On this basis, and given previous research findings (Chapple et al, 2011;de Rooij et al, 2016;Messier et al, 2018;Muthuri, Hui, Doherty, & Zhang, 2011), we recognize that weight loss should feature as a core recommendation as part of preventative strategies for joint pain and OA (National Institute for Health and Care Excellence, 2014).…”

Section: Discussionmentioning

confidence: 90%

“…The potential confounders available in the self‐report survey data were scrutinized carefully, in order to select those that had previously been shown to relate to outcomes of joint pain and pain interference (Chapple et al, ; de Rooij et al, ; Nicholls et al, ), and/or were related to pain interference in this particular study sample. However, not all important confounders would have been fully measured and accounted for (e.g., a detailed history of occupational workload, other relevant comorbidities), and a number of those measured may have been subject to some degree of measurement error (e.g., self‐reported measures of physical activity and body weight).…”

Section: Discussionmentioning

confidence: 99%

“…Factors were selected based on their already established relationship with outcomes of hip, knee or hand pain (Chapple, Nicholson, Baxter, & Abbott, 2011;de Rooij et al, 2016;Nicholls, van der Windt, Jordan, Dziedzic, & Thomas, 2012), and/or their potential to be modifiable via interventions (Springer et al, 2017;Uthman et al, 2013;Zhang et al, 2018). These included:…”

Section: Modifiable Prognostic Factorsmentioning

confidence: 99%

“…Potential confounding variables were chosen on the basis of having previously been shown to be associated with future outcomes in people with joint pain, but which cannot be modified, or their risk cannot be fully addressed by interventions (Chapple et al, 2011;de Rooij et al, 2016;Nicholls et al, 2012). These included:…”

Section: Potential Confoundersmentioning

confidence: 99%

See 2 more Smart Citations

Predictors of pain interference and potential gain from intervention in community dwelling adults with joint pain: A prospective cohort study

Blagojevic‐Bucknall

Thomas

Wulff

et al. 2019

Musculoskeletal Care

View full text Add to dashboard Cite

Introduction There is little research on identifying modifiable risk factors that predict future interference of pain with daily activity in people with joint pain, and the estimation of the corresponding population attributable risk (PAR). The present study therefore investigated modifiable predictors of pain interference and estimated maximum potential gain from intervention in adults with joint pain. Methods A population‐based cohort aged ≥50 years was recruited from eight general practices in North Staffordshire, UK. Participants (n = 1878) had joint pain at baseline lasting ≥3 months and indicated no pain interference. Adjusted associations of self‐reported, potentially modifiable prognostic factors (body mass index, anxiety/depressive symptoms, widespread pain, inadequate joint pain control, physical inactivity, sleep problems, smoking and alcohol intake) with onset of pain interference 3 years later were estimated via Poisson regression, and corresponding PAR estimates were obtained. Results Inadequate joint‐specific pain control, insomnia and infrequent walking were found to be independently significantly associated with the onset of pain interference after 3 years, with associated PARs of 6.3% (95% confidence interval −0.3, 12.4), 7.6% (−0.4, 15.0) and 8.0% (0.1, 15.2), respectively, with only the PAR for infrequent walking deemed statistically significant. The PAR associated with insomnia, infrequent walking and inadequate control of joint pain simultaneously was 20.3% (8.6, 30.4). Conclusions There is potential to reduce moderately the onset of pain interference from joint pain in the over‐50s if clinical and public health interventions targeted pain management and insomnia, and promoted an active lifestyle. However, most of the onset of significant pain interference in the over‐50s, would not be prevented, even assuming that these factors could be eliminated.

show abstract

What Have We Learned From Trajectory Analysis of Clinical Outcomes in Knee and Hip Osteoarthritis Before Surgery?

Wieczorek

Rotonda

Guillemin

et al. 2020

Arthritis Care & Research

View full text Add to dashboard Cite

Objective. The past decade has seen a rapid increase in the publication of studies using trajectory analysis to describe the course of osteoarthritis (OA) symptoms. The aim of this systematic review was to describe the distinct trajectories for OA outcomes and the predictors of these trajectories. Methods. Medline and PsycInfo databases were searched for relevant studies. Selection criteria were 1) patients ≥18 years of age, 2) patients at high risk of or diagnosed with knee or hip OA, 3) studies aiming to identify homogeneous subgroups with distinct trajectories of clinical outcomes, and 4) methodology and analysis designed to identify trajectories (longitudinal design and repeated measures). The search was limited to publications in English or French. Results. Of the 5,177 abstracts retrieved, 44 studies met the inclusion criteria; 21 described the disease progression before surgery. The most frequent outcomes were pain and physical function. Up to 6 trajectories of pain were found for hip and knee OA. For function, between 1 and 5 trajectories were identified for knee OA. Low educational level, high body mass index, and high number of comorbidities were the most reported predictors of bad evolution. Conclusion. Although studies were heterogeneous in terms of outcomes, subgroup number, and composition, they revealed stable OA trajectories over time. This finding suggests that OA is a chronic disease that does not inevitably worsen in terms of patient-reported symptoms.

show abstract

Course and predictors of pain and physical functioning in patients with hip osteoarthritis: Systematic review and meta-analysis

Cited by 37 publications

References 44 publications

Predictors of functional outcome in musculoskeletal healthcare: An umbrella review

Predictors of functional outcome in musculoskeletal healthcare: An umbrella review

Predictors of pain interference and potential gain from intervention in community dwelling adults with joint pain: A prospective cohort study

What Have We Learned From Trajectory Analysis of Clinical Outcomes in Knee and Hip Osteoarthritis Before Surgery?

Contact Info

Product

Resources

About