Impact of diabetes mellitus on osteoarthritis: a scoping review on biomarkers.

Osteoarthritis (OA) commonly affects the knee and hip joints and accounts for 19.3% of disability-adjusted life years and years lived with disability worldwide (Refs , ). Early management is important in order to avoid disability uphold quality of life (Ref. ). However, a lack of awareness of subclinical and early symptomatic stages of OA often hampers early management (Ref. ). Moreover, late diagnosis of OA among those with severe disease, at a stage when OA management becomes more complicated is common (Refs , , , ). Established risk factors for the development and progression of OA include increasing age, female, history of trauma and obesity (Ref. ). Recent studies have also drawn a link between OA and metabolic syndrome, which is characterized by insulin resistance, dyslipidaemia and hypertension (Refs , ).

Assessing domain match and feasibility of candidate instruments matching with OMERACT endorsed domains to measure flare in knee and hip osteoarthritis.

PURPOSE: To evaluate the domain match (truth) and feasibility of candidate instruments assessing flare in knee and hip osteoarthritis (OA) according to the identified domains. MATERIAL AND METHODS: From a literature review (575 papers), instruments were selected and evaluated using the truth and feasibility elements of the OMERACT Filter 2.2. These were evaluated by 26 experts, including patients, in two Delphi survey rounds. The final selection was obtained by a vote. RESULTS: 44 instruments were identified. In Delphi Round 1, five instruments were selected. In Round 2, all instruments obtained at least 75 % in terms of content match with the endorsed domains and feasibility. In the final selection, the Flare-OA questionnaire obtained 100 % favorable votes. CONCLUSION: Through consensus of the working group, the Flare-OA questionnaire was selected as the best candidate instrument to move into a full assessment of its measurement properties using the OMERACT Filter 2.2.

Effectiveness of a telehealth-delivered clinician-supported exercise and weight loss program for hip osteoarthritis - protocol for the Better Hip randomised controlled trial.

BACKGROUND: Hip osteoarthritis (OA) is a leading cause of chronic pain and disability worldwide. Self-management is vital with education, exercise and weight loss core recommended treatments. However, evidence-practice gaps exist, and service models that increase patient accessibility to clinicians who can support lifestyle management are needed. The primary aim of this study is to determine the effectiveness of a telehealth-delivered clinician-supported exercise and weight loss program (Better Hip) on the primary outcomes of hip pain on walking and physical function at 6 months, compared with an information-only control for people with hip OA. METHODS: A two-arm, parallel-design, superiority pragmatic randomised controlled trial. 212 members from a health insurance fund aged 45 years and over, with painful hip OA will be recruited. Participants will be randomly allocated to receive: i) Better Hip; or ii) web-based information only (control). Participants randomised to the Better Hip program will have six videoconferencing physiotherapist consultations for education about OA, prescription of individualised home-based strengthening and physical activity programs, behaviour change support, and facilitation of other self-management strategies. Those with a body mass index > 27 kg/m2, aged < 80 years and no specific health conditions, will also be offered six videoconferencing dietitian consultations to undertake a weight loss program. Participants in the control group will be provided with similar educational information about managing hip OA via a custom website. All participants will be reassessed at 6 and 12 months. Primary outcomes are hip pain on walking and physical function. Secondary outcomes include measures of pain; hip function; weight; health-related quality of life; physical activity levels; global change in hip problem; willingness to undergo hip replacement surgery; rates of hip replacement; and use of oral pain medications. A health economic evaluation at 12 months will be conducted and reported separately. DISCUSSION: Findings will determine whether a telehealth-delivered clinician-supported lifestyle management program including education, exercise/physical activity and, for those with overweight or obesity, weight loss, is more effective than information only in people with hip OA. Results will inform the implementation of such programs to increase access to core recommended treatments. TRIAL REGISTRATION: Australia New Zealand Clinical Trials Registry (ACTRN12622000461796).

Associations of current and childhood socioeconomic status and health outcomes amongst patients with knee or hip osteoarthritis in a Mexico City family-practice setting.

OBJECTIVES: To examine the association of current and childhood socioeconomic status (SES) with patient-reported functional status, quality of life and disability in patients with knee or hip osteoarthritis (OA). METHODS: Cross-sectional study amongst individuals seeking care for any medical reason in a primary care family-practice clinic in Mexico City. We included individuals with self-reported doctor-diagnosed arthritis, recruited through waiting-room posters and invitations by treating family physicians. We administered a survey using validated Spanish language versions of the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), the Osteoarthritis of Lower Limbs and Quality of Life (AMICAL), and the Stanford Health Assessment Questionnaire-Disability Index (HAQ-DI). To estimate current and childhood SES, we collected data on education level and occupation type for both the patient and their parents, as well as using a validated tool to estimate income quintile. RESULTS: We recruited 154 patients and excluded 8 patients. There was a high correlation between outcome scores. Estimated income and education levels were correlated with WOMAC, AMICAL and HAQ-DI scores, and significant differences were found in all scores by occupation type. The associations for current SES variables and outcome scores remained significant independently of age, sex, BMI, and presence of diabetes or hypertension, and were largely explained by current income in mutually adjusted models. Childhood SES - in particular as measured through maternal education - was best correlated with AMICAL scores, though its effect seemed largely mediated by its association with current SES. CONCLUSIONS: Current Socioeconomic Status impacts functional status, quality of life and disability amongst OA patients in Mexico City. The WOMAC, AMICAL and HAQ-DI scores correlate with each other and are all potentially useful markers of disease severity. More research is needed to elucidate the relationships between childhood SES and OA outcomes. Awareness of life-course SES may be useful in identifying patients at risk for worse outcomes.

A scoping review of patient self-report measures of flare in knee and hip osteoarthritis (OA): A report from the OMERACT flares in OA working group.

PURPOSE: We aimed to analyze the content validity/domain match and feasibility of self-report instruments that could measure flare in osteoarthritis (OA), by extending our 2017 literature review on the definition of flare in knee and hip OA. METHOD: We searched PubMed (Medline), Web of Science and PsycInfo (Ebsco Host) databases for original articles reporting research about flare (or synonyms) in humans with knee and hip OA, between 2017 and 2023. Four experts worked independently, checking the records, and assessing content validity and feasibility, writing justification for exclusion. RESULTS: At literature review phase, 575 papers were filtered. After experts' analysis, 59 studies were included, and 44 instruments associated with flare in OA were identified. Most were studies about pain in knee or hip OA (35 %), cultural adaptation of a measure (33 %) or studies investigating psychometric properties of full (16 %) or short form (4 %) instruments. The assessment of domain match and feasibility revealed that 15 instruments were assigned a label of 'yes' or 'uncertain' as to whether or not there was a good match with the domain concept or whether the instrument was considered feasible to use. DISCUSSION: Most identified instruments considered different aspects of pain and the associated discomfort in performing daily activities but did not include the central aspects of flare in OA, i.e. the change of state, nor the additional Outcome Measures in Rheumatology (OMERACT) endorsed domains for OA flare namely stiffness, swelling, psychological aspects, impact of symptoms including fatigue and sleep disturbance. Although it is possible that the period specified to conduct this literature review may have led to some recognized instruments being excluded, this review demonstrates the need for the research community to reach consensus on the best way to measure self-reported flares in future clinical trials and observational studies.

Arthrosis diagnosis and treatment recommendations in clinical practice: an exploratory investigation with the generative AI model GPT-4.

BACKGROUND: The spread of artificial intelligence (AI) has led to transformative advancements in diverse sectors, including healthcare. Specifically, generative writing systems have shown potential in various applications, but their effectiveness in clinical settings has been barely investigated. In this context, we evaluated the proficiency of ChatGPT-4 in diagnosing gonarthrosis and coxarthrosis and recommending appropriate treatments compared with orthopaedic specialists. METHODS: A retrospective review was conducted using anonymized medical records of 100 patients previously diagnosed with either knee or hip arthrosis. ChatGPT-4 was employed to analyse these historical records, formulating both a diagnosis and potential treatment suggestions. Subsequently, a comparative analysis was conducted to assess the concordance between the AI's conclusions and the original clinical decisions made by the physicians. RESULTS: In diagnostic evaluations, ChatGPT-4 consistently aligned with the conclusions previously drawn by physicians. In terms of treatment recommendations, there was an 83% agreement between the AI and orthopaedic specialists. The therapeutic concordance was verified by the calculation of a Cohen's Kappa coefficient of 0.580 (p < 0.001). This indicates a moderate-to-good level of agreement. In recommendations pertaining to surgical treatment, the AI demonstrated a sensitivity and specificity of 78% and 80%, respectively. Multivariable logistic regression demonstrated that the variables reduced quality of life (OR 49.97, p < 0.001) and start-up pain (OR 12.54, p = 0.028) have an influence on ChatGPT-4's recommendation for a surgery. CONCLUSION: This study emphasises ChatGPT-4's notable potential in diagnosing conditions such as gonarthrosis and coxarthrosis and in aligning its treatment recommendations with those of orthopaedic specialists. However, it is crucial to acknowledge that AI tools such as ChatGPT-4 are not meant to replace the nuanced expertise and clinical judgment of seasoned orthopaedic surgeons, particularly in complex decision-making scenarios regarding treatment indications. Due to the exploratory nature of the study, further research with larger patient populations and more complex diagnoses is necessary to validate the findings and explore the broader potential of AI in healthcare. LEVEL OF EVIDENCE: Level III evidence.

Effects of Hip Pain Diagnostic Labels and Their Explanations on Beliefs About Hip Pain and How to Manage It: An Online Randomized Controlled Trial.

OBJECTIVES: To compare the effects of diagnostic labels and their explanations on people's beliefs about managing hip pain. DESIGN: Online randomized controlled trial involving 626 participants. METHODS: Participants aged ≥45 years with and without hip pain considered a hypothetical scenario (initial doctor consultation for hip pain). They were randomized to receive a diagnostic label and explanation of (1) hip osteoarthritis, (2) persistent hip pain, or (3) hip degeneration. Primary outcomes were the beliefs (1) exercise would damage the hip and (2) surgery is necessary at some stage (scales, 0 = definitely would not/unnecessary, 10 = definitely would/necessary). Secondary outcomes included beliefs about other treatments and care providers. RESULTS: Compared to hip degeneration, participants who were allocated to hip osteoarthritis and persistent hip pain believed exercise was less damaging (mean difference -1.3 [95% CI: -1.9, -0.7] and -1.8 [-2.3, -1.2], respectively) and surgery less necessary (-1.5 [-2.1, -1.0] and -2.2 [-2.7, -1.6], respectively). Compared to hip osteoarthritis, participants who were allocated to persistent hip pain believed surgery was less necessary (-0.7 [-1.2, -0.1]), but not that exercise was less damaging (-0.5 [-1.1, 0.1]). Compared to hip degeneration, participants who were allocated to hip osteoarthritis and persistent hip pain were less concerned about their hip and believed exercise and care from an exercise and sports physician, rheumatologist, or physiotherapist would be more helpful, and care from an orthopaedic surgeon less helpful. CONCLUSIONS: People who were allocated a diagnostic label and explanation of hip osteoarthritis or persistent hip pain believed exercise was less damaging and surgery less necessary for a hip problem than hip degeneration. J Orthop Sports Phys Ther 2023;53(11):673-684. Epub 5 October 2023. doi:10.2519/jospt.2023.11984.

The impact of moderate to severe osteoarthritis on the physical performance and quality of life: a cross-sectional study in Greek patients (PONOS study).

BACKGROUND: Osteoarthritis (OA) represents a leading cause of disability with limited data available for the Greek patients. OBJECTIVES: To evaluate the impact of moderate to severe symptomatic hip/knee OA under treatment on physical performance and quality of life. METHODS: A non-interventional, cross-sectional, epidemiological study of patients with moderate/severe OA, recruited in a single visit from 9 expert sites in Athens, Greece. Assessments were based on commonly used outcome scales: the Hip disability and Osteoarthritis Outcome Score (HOOS), the Knee Injury and Osteoarthritis Outcome Score (KOOS) and the EuroQol-5-Dimensions 3-levels questionnaire (EQ-5D-3L). RESULTS: One hundred sixty-four patients were included in the analysis. Most of the patients were females (78.7%), with a mean age of 70.5 ± 10.2 years. Comorbidities were reported by 87.2% of patients with hypertension being the most frequently reported (53.7%), followed by dyslipidemia (31.1%), obesity (24.4%) and diabetes mellitus (23.2%). Paracetamol was the most common treatment (96%), followed by NSAIDs (75%), opioids (50%) and locally applied medications (42.7%). Both hip and knee OA patients showed substantial deterioration in health-related quality of life (QoL) and health status as reflected by the HOOS/KOOS (Function in sport and recreation was the most impaired subscale, followed by Hip- or Knee-related QoL). The mean EQ-5D-3L index score was 0.396 ± 0.319 and the mean EQ-VAS score was 52.1 ± 1.9. When compared indirectly to the local population norms our OA population had worse QoL indices. CONCLUSION: Our findings suggest the functional disability and impaired QoL of Greek patients with moderate/severe hip/knee OA under treatment emphasizing the need for novel treatments that will reduce the burden of the disease.

Adherence to a Web-based Exercise Programme: A Feasibility Study Among Patients with Hip or Knee Osteoarthritis.

OBJECTIVES: To describe adherence to a 12-week web-based aerobic exercise programme, to compare characteristics between those who adhere or not, and to identify barriers for exercising in patients with hip or knee osteoarthritis. DESIGN: Single-arm feasibility study. SUBJECTS: Patients with hip or knee osteoarthritis in specialist healthcare, age 40-80 years, and not candidates for joint surgery. METHODS: Adherence to a 12-week exercise programme was defined as having completed ≥ 2 exercise sessions a week for at least 8 weeks. Baseline differences between adherent and non-adherent groups in demographics, symptoms, disability, physical activity and fitness were assessed using Mann-Whitney U or χ2 tests. Reasons for not completing exercise sessions were reported in weekly diaries.  Results: A total of 29 patients (median age 64 years, 72% female) were included. Median baseline pain (numerical rating scale 0-10) was 5. Fifteen patients adhered to the exercise programme, 14 did not. Non-adherent patients were less active (p = 0.032) and had lower cardiorespiratory fitness (p = 0.031). The most frequently reported barrier to exercising was sickness. Less than 10% reported pain as a barrier. CONCLUSION: Half of the patients with hip or knee osteoarthritis adhered to the digitally delivered exercise programme and the most frequently reported barrier for adherence was sickness, while less than 10% reported pain as a reason for not exercising. TRIAL REGISTRATION: ClinicalTrials.gov, NCT04084834. The Regional Committee for Medical and Health Research Ethics South-East, 2018/2198.

Sex-Based Differences in the Utilization of Shoulder, Hip, and Knee Arthroplasty.

INTRODUCTION: Studies show that females have a higher prevalence of osteoarthritis, worse symptoms, but lower rates of joint replacement surgery (JRS). The reason for this remains unknown. METHODS: A database of JRS candidates was created for patients seen in 2019 at an academic center. Demographics, Kellgren-Lawrence grades, symptom duration, visual analogue pain score, Charlson Comorbidity Index, and nonsurgical treatments were collected. Patients who were offered but declined surgery were invited to focus groups. Two independent sample t-tests, Mann-Whitney U tests, and chi-square tests were used for continuous, scored, and categorical variables, respectively, with two-tailed significance <0.05. Qualitative, code-based analysis was performed for the focus groups. RESULTS: The cohort included 321 patients (81 shoulder, 59 hip, and 181 knee) including 199 females (62.0%). There were no differences in proportions of females versus males who underwent JRS or in nonsurgical treatments. Female shoulder arthritis patients were older, had a higher visual analogue pain score, and had a higher Charlson Comorbidity Index. In focus groups, males prioritized waiting for technology advancements to return to an active lifestyle, whereas females experienced negative provider interactions, self-advocated for treatment, concerned about pain, and believed that their sex affected their treatment. DISCUSSION: We found equal utilization of JRS at our institution. However, female patients experienced unique barriers to surgery.

No major difference in perceived quality of care in patients with hip or knee osteoarthritis assessed in a physical therapy-led triage compared with standard care: a randomized controlled trial.

BACKGROUND: Physical therapy-led orthopedic triage is a care model used to optimize pathways for patients with hip or knee osteoarthritis. However, scientific evidence of the effectiveness of this model of care is still limited and only a few studies report patients' perception of it. The aim of this study was to compare patients' perceived quality of care after physical therapy-led triage with standard practice in a secondary care setting for patients with primary hip or knee osteoarthritis. METHODS: In this randomized study, patients with hip or knee osteoarthritis referred for an orthopedic consultation received either physical therapy-led triage (n = 344) or a standard care assessment by an orthopedic surgeon (n = 294). To evaluate the patients' perceived quality of care, a short version of the Quality from the Patient's Perspective (QPP) questionnaire was sent to the patients within a week after their assessment. The primary outcome was the statement "I received the best examination and treatment" on QPP. RESULTS: A total of 348 patients (70%, physical therapy-led triage: n = 249, standard care: n = 199) answered the questionnaire. No significant difference was found in the primary outcome between the groups (p = 0.6). Participants in the triage group perceived themselves to have received significantly better information about how to take care of their osteoarthritis (p = 0.017) compared with the standard care group. The standard care group reported that they participated in the decision-making process to a greater extent (p = 0.005), that their expectations were met to a greater degree (p = 0.013), and that their care depended more on their need for care rather than the caregivers' routines (0.007). CONCLUSION: Both groups report high perceived quality of care. Significant differences were found in four of 14 questions, one in favor of the physical therapist and three in favor of the standard care group. The findings of this study are in line with previous research and support the use of this care model for patients with hip or knee OA in secondary care. However, due to the dropout size, the results should be interpreted with caution. TRIAL REGISTRATION: Clinical Trials NCT04665908, registered 14/12/2020.

Use of electronic health data to identify patients with moderate-to-severe osteoarthritis of the hip and/or knee and inadequate response to pain medications.

BACKGROUND: No algorithms exist to identify important osteoarthritis (OA) patient subgroups (i.e., moderate-to-severe disease, inadequate response to pain treatments) in electronic healthcare data, possibly due to the complexity in defining these characteristics as well as the lack of relevant measures in these data sources. We developed and validated algorithms intended for use with claims and/or electronic medical records (EMR) to identify these patient subgroups. METHODS: We obtained claims, EMR, and chart data from two integrated delivery networks. Chart data were used to identify the presence or absence of the three relevant OA-related characteristics (OA of the hip and/or knee, moderate-to-severe disease, inadequate/intolerable response to at least two pain-related medications); the resulting classification served as the benchmark for algorithm validation. We developed two sets of case-identification algorithms: one based on a literature review and clinical input (predefined algorithms), and another using machine learning (ML) methods (logistic regression, classification and regression tree, random forest). Patient classifications based on these algorithms were compared and validated against the chart data. RESULTS: We sampled and analyzed 571 adult patients, of whom 519 had OA of hip and/or knee, 489 had moderate-to-severe OA, and 431 had inadequate response to at least two pain medications. Individual predefined algorithms had high positive predictive values (all PPVs ≥ 0.83) for identifying each of these OA characteristics, but low negative predictive values (all NPVs between 0.16-0.54) and sometimes low sensitivity; their sensitivity and specificity for identifying patients with all three characteristics was 0.95 and 0.26, respectively (NPV 0.65, PPV 0.78, accuracy 0.77). ML-derived algorithms performed better in identifying this patient subgroup (range: sensitivity 0.77-0.86, specificity 0.66-0.75, PPV 0.88-0.92, NPV 0.47-0.62, accuracy 0.75-0.83). CONCLUSIONS: Predefined algorithms adequately identified OA characteristics of interest, but more sophisticated ML-based methods better differentiated between levels of disease severity and identified patients with inadequate response to analgesics. The ML methods performed well, yielding high PPV, NPV, sensitivity, specificity, and accuracy using either claims or EMR data. Use of these algorithms may expand the ability of real-world data to address questions of interest in this underserved patient population.

Are Abnormal Muscle Biomechanics and Patient-reported Outcomes Associated in Patients With Hip Dysplasia?

BACKGROUND: Developmental dysplasia of the hip (DDH) is a major risk factor for the early development of hip osteoarthritis. Recent studies have demonstrated how DDH alters hip muscle moment arms and elevates muscle-induced biomechanical variables such as joint reaction forces and acetabular edge loads. Understanding the link between abnormal biomechanics and patient-reported outcome measures (PROMs) is important for evidence-based clinical interventions that improve patient symptoms and functional outcomes. To our knowledge, there are no reports of the relationships between muscle-induced biomechanics and PROMs. QUESTIONS/PURPOSES: (1) Are there associations between PROMs and muscle-induced hip biomechanics during gait for patients with DDH and controls? (2) Are there associations among PROMs and separately among biomechanical variables? METHODS: Participants in this prospective cross-sectional comparative study included 20 female patients with DDH who had no prior surgery or osteoarthritis and 15 female individuals with no evidence of hip pathology (controls) (age: median 23 years [range 16 to 39 years]; BMI: median 22 kg/m 2 [range 17 to 27 kg/m 2 ]). Muscle-induced biomechanical variables for this cohort were reported and had been calculated from patient-specific musculoskeletal models, motion data, and MRI. Biomechanical variables included joint reaction forces, acetabular edge loads, hip center lateralization, and gluteus medius muscle moment arm lengths. PROMs included the Hip Disability and Osteoarthritis Outcome Score (HOOS), the WOMAC, International Hip Outcome Tool-12, National Institutes of Health Patient-Reported Outcome Measure Information System (PROMIS) Pain Interference and Physical Function subscales, and University of California Los Angeles activity scale. Associations between PROMs and biomechanical variables were tested using Spearman rank-order correlations and corrected for multiple comparisons using the Benjamini-Yekutieli method. For this study, associations between variables were considered to exist when correlations were statistically significant (p < 0.05) and were either strong (ρ ≥ 0.60) or moderate (ρ = 0.40 to 0.59). RESULTS: Acetabular edge load impulses (the cumulative acetabular edge load across the gait cycle), medially directed joint reaction forces, and hip center lateralization most commonly demonstrated moderate or strong associations with PROMs. The strongest associations were a negative correlation between acetabular edge load impulse on the superior acetabulum and the HOOS function in daily living subscale (ρ = -0.63; p = 0.001), followed by a negative correlation between hip center lateralization and the HOOS pain subscale (ρ = -0.6; p = 0.003), and a positive correlation between hip center lateralization and the PROMIS pain subscale (ρ = 0.62; p = 0.002). The University of California Los Angeles activity scale was the only PROM that did not demonstrate associations with any biomechanical variable. All PROMs, aside from the University of California Los Angeles activity scale, were associated with one another. Although most of the biomechanical variables were associated with one another, these relationships were not as consistent as those among PROMs. CONCLUSION: The associations with PROMs detected in the current study suggest that muscle-induced biomechanics may have wide-reaching effects not only on loads within the hip, but also on patients' perceptions of their health and function. As the treatment of DDH evolves, patient-specific joint preservation strategies may benefit from targeting the underlying causes of biomechanical outcomes associated with PROMs. LEVEL OF EVIDENCE: Level III, prognostic study.

What Factors Identified in Initial Osteoarthritis Management Are Associated With Poor Patient-reported Outcomes After THA? A Register-based Study.

BACKGROUND: Some patients report long-term pain or no improvement in health-related quality of life (HRQoL) or are dissatisfied after THA. However, factors associated with these poorer patient-reported outcomes after surgery are inconsistent and have typically been studied in the late phase of hip osteoarthritis (OA) among patients already eligible for surgery. Earlier identification of risk factors would provide time to address modifiable factors, helping to improve patients' pain, HRQoL, and satisfaction after surgery and reduce the burden on orthopaedic clinics by referring patients who are better prepared for surgery. QUESTIONS/PURPOSES: We analyzed data from patients with hip OA referred to a first-line OA intervention program in primary healthcare at a stage when they had not been referred for THA, and asked: (1) What percentage of patients who proceed to THA report lack of improvement in pain, lack of improvement in HRQoL as measured by the EQ-5D, or are not satisfied with surgery 1 year after THA? (2) What associations exist between baseline factors at referral to this first-line OA intervention program and these poorer patient-reported outcomes 1 year after THA? METHODS: We included 3411 patients with hip OA (mean age 67 ± 9 years, 63% [2160 of 3411] women) who had been referred for first-line OA interventions between 2008 and 2015 and subsequently underwent THA for OA. All patients were initially identified through the Swedish Osteoarthritis Register, which follows and evaluates patients in a standardized national first-line OA intervention program. Then, we identified those who were also registered in the Swedish Arthroplasty Register with a THA during the study period. We included only those with complete patient-reported outcome measures for pain, HRQoL, and satisfaction preoperatively and 1-year postoperatively, representing 78% (3411 of 4368) of patients, who had the same baseline characteristics as nonrespondents. Multiple logistic regression was used to assess the associations between 14 baseline factors and the aforementioned patient-reported outcomes of pain, HRQoL, and satisfaction 1 year after THA, adjusted for all included factors. RESULTS: Five percent (156 of 3411) of the study population lacked improvement in pain, 11% (385 of 3411) reported no improvement in HRQoL, and 10% (339 of 3411) reported they were not satisfied with surgery 1 year after THA. Charnley Class C (multiple-joint OA or another condition that affects the ability to walk) was associated with all outcomes: lack of improvement in pain (OR 1.84 [95% CI 1.24 to 2.71]; p = 0.002), lack of improvement in HRQoL (OR 1.83 [95% CI 1.42 to 2.36]; p < 0.001), and not being satisfied (OR 1.40 [95% CI 1.07 to 1.82]; p = 0.01). Older age was associated with a lack of improvement in pain (OR per year 1.03 [95% CI 1.01 to 1.05]; p = 0.02), lack of improvement in HRQoL (OR per year 1.04 [95% CI 1.03 to 1.06]; p < 0.001), and not being satisfied (OR per year 1.03 [95% CI 1.01 to 1.05]; p < 0.001). Depression was associated with a lack of improvement in pain (OR 1.54 [95% CI 1.00 to 2.35]; p = 0.050) and with not being satisfied (OR 1.50 [95% CI 1.11 to 2.04]; p = 0.01) but not with a lack of improvement in HRQoL (OR 1.04 [95% CI 0.76 to 1.43]; p = 0.79). Having four or more comorbidities was associated with a lack of improvement in HRQoL (OR 2.08 [95% CI 1.39 to 3.10]; p < 0.001) but not with a lack of improvement in pain and not being satisfied. CONCLUSION: The results of this study showed that older age, Charley Class C, and depression in patients with first-line OA interventions were risk factors associated with poorer outcomes regarding pain, HRQoL, and satisfaction after THA. Screening patients with hip OA for depression early in the disease course would provide increased time to optimize treatments and may contribute to better patient-reported pain, HRQoL, and satisfaction after future THA. Further research should focus on identifying the optimal time for surgery in patients with depression, as well as what targeted interventions for depression can improve outcome of surgery in these patients. LEVEL OF EVIDENCE: Level III, therapeutic study.

Characteristics associated with comorbid lumbar spinal stenosis symptoms in people with knee or hip osteoarthritis: an analysis of 9,136 good life with osteoArthritis in Denmark (GLA:D®) participants.

BACKGROUND: Previous studies have found that lumbar spinal stenosis (LSS) often co-occurs with knee or hip OA and can impact treatment response. However, it is unclear what participant characteristics may be helpful in identifying individuals with these co-occurring conditions. The aim of this cross-sectional study was to explore characteristics associated with comorbid symptoms of lumbar spinal stenosis (LSS) in people with knee or hip osteoarthritis (OA) enrolled in a primary care education and exercise program. METHODS: Sociodemographic, clinical characteristics, health status measures, and a self-report questionnaire on the presence of LSS symptoms was collected at baseline from the Good Life with osteoArthritis in Denmark primary care program for knee and hip OA. Cross-sectional associations between characteristics and the presence of comorbid LSS symptoms were assessed separately in participants with primary complaint of knee and hip OA, using domain-specific logistic models and a logistic model including all characteristics. RESULTS: A total of 6,541 participants with a primary complaint of knee OA and 2,595 participants with a primary complaint of hip OA were included, of which 40% and 50% reported comorbid LSS symptoms, respectively. LSS symptoms were associated with similar characteristics in knee and hip OA. Sick leave was the only sociodemographic variable consistently associated with LSS symptoms. For clinical characteristics, back pain, longer symptom duration and bilateral or comorbid knee or hip symptoms were also consistently associated. Health status measures were not consistently related to LSS symptoms. CONCLUSION: Comorbid LSS symptoms in people with knee or hip OA undergoing a primary care treatment program of group-based education and exercise were common and associated with a similar set of characteristics. These characteristics may help to identify people with co-occurring LSS and knee or hip OA, which can be used to help guide clinical decision-making.

Hip Osteoarthritis: Bench to Bedside Perspective.

Osteoarthritis is a major source of pain, disability, and economic cost worldwide. For nearly a century, there has been a debate about the causes of hip osteoarthritis and the role that structural abnormalities may play as a causative factor. Recent advances in open and minimally invasive techniques such as the periacetabular osteotomy, surgical hip dislocation and arthroscopic approaches have allowed us safe access into the joint to not only improve the abnormal bony structure and repair damaged tissue but also to gain clinical insights into the cause of joint damage. At present, structural abnormalities such as acetabular dysplasia and CAM deformities of the proximal femur are thought to be a major factor causing premature hip OA. Over the past 30 years, our understanding of the function and biology of articular cartilage has evolved from a relatively acellular lubricating cushion to a metabolically active tissue that can modulate its tissue composition in response to mechanical loading. Using advanced biochemical MR imaging technique called delayed Gadolinium Enhanced MRI of Cartilage (dGEMRIC), it has been shown that alteration in the mechanical environment of the hip with a pelvic osteotomy in acetabular dysplasia can alter the articular cartilage composition. This further demonstrates the importance of mechanics in development of joint damage and the potential for surgical correction to prevent or slow down the progression of OA.

Digital self-management of hip and knee osteoarthritis and trajectories of work and activity impairments.

OBJECTIVE: To investigate the trajectories of work and activity impairments among people participating in a digital self-management program for osteoarthritis (OA). METHODS: We conducted an observational longitudinal study using data for baseline, 3, 6, 9 and 12 months follow ups from people participating in a digital OA treatment between June 2018 and September 2021. The Work Productivity and Activity Impairment-Osteoarthritis (WPAI-OA) questionnaire was used to measure work and activity impairments. We applied linear mixed models and group-based trajectory modelling (GBTM) to assess the trajectories of work and activity impairments and their variability. Dominance analysis was performed to explore the relative importance of baseline characteristics in predicting the trajectory subgroup membership. RESULTS: A total of 14,676 participants with mean (± standard deviation) age 64.0 (± 9.1) years and 75.5% females were included. The adjusted mean improvements in work impairment from baseline were 5.8% (95% CI 5.3, 6.4) to 6.1% (95% CI 5.5, 6.8). The corresponding figures for activity impairment were 9.4% (95% CI 9.0, 9.7) to 11.3% (95% CI 10.8, 11.8). GBTM identified five (low baseline-declining, moderate baseline-declining, high baseline-declining, very high baseline-substantially declining, and very high baseline-persistent) and three (low baseline-declining, mild baseline-declining, high baseline-declining) subgroups with distinct trajectories of activity and work impairments. Dominance analysis showed that baseline pain was the most important predictor of membership in trajectory subgroups. CONCLUSION: While participation in a digital self-management program for OA was, on average, associated with improvements in work and activity impairments, there were substantial variations among the participants. Baseline pain may provide useful insights to predict trajectories of work and activity impairments.