PROMIS PF correlates with HOOS, JR in patients with hip pain

Correlation of the LLRS-AIM Index With LD-SRS and PROMIS in Pediatric Patients With Lower Limb Differences

BACKGROUND

The purpose of this study was to assess the reliability of the Limb Lengthening and Reconstruction Society AIM (LLRS-AIM) index, a scale for grading the severity of lower limb deformities by the physician, and its concordance with 2 patient-reported outcome measures, the Limb Deformity-Scoliosis Research Society (LD-SRS) and Patient-Reported Outcomes Measurement Information System (PROMIS) tools in pediatric patients with lower limb differences.

METHODS

This was a retrospective review of patients 18 years old or younger who presented to our institution with lower limb differences for surgical reconstruction between 2019 and 2024. All patients received the LD-SRS and PROMIS for completion before surgery. The LLRS-AIM index for patients was assessed by 2 independent evaluators, with intraclass correlation coefficients (ICCs) calculated to determine inter-rater agreement. Spearman correlations were performed between the LLRS-AIM Index with all LD-SRS and PROMIS domains. The Benjamini-Hochberg procedure was conducted to reduce the false discovery rate.

RESULTS

A total of 81 patients were included in this study. The LLRS-AIM Index had good and near-perfect inter-rater reliability across different levels of medical training (ICC=0.9). Overall, there were no correlations between the LLRS-AIM Index with LD-SRS and PROMIS domains (LD-SRS function: P=-0.26, P=0.18; PROMIS pain interference: P=0.10, P=0.63). Mental health-related LD-SRS and PROMIS domains showed no correlations with the physician-reported LLRS-AIM index (LD-SRS self image: P=0.10, P=0.63; PROMIS depression: P=-0.05, P=0.63).

CONCLUSIONS

There is a high level of reproducibility for the LLRS-AIM index to evaluate the complexity of lower limb differences in pediatric patients. However, there are no correlations between the LLRS-AIM index with LD-SRS and PROMIS across all relevant domains. Further modifications to the LLRS-AIM index criteria and scoring weights may allow it to better assess patient outcomes in the pediatric population.

LEVEL OF EVIDENCE

Level III.

Patient-Reported Outcome Measures in Hip Preservation Surgery: Are They All the Same?

INTRODUCTION

Historically, for hip procedures, the Hip Outcome Score (HOS) and the International Hip Outcome Tool 12 (iHOT-12) have been commonly usedas instruments for patient-reported outcome measures (PROMs). However, these tools are often influenced by other factors, such as concurrent illnesses, making more standardized tools a preferable choice. Patient-Reported Outcomes Measurement Information System-25 (PROMIS-25) is a standardized, validated PROMs metric that has correlated well with several other anatomy-specific PROMs tools. In this study, we aim to assess and compare the correlations between iHOT-12 and HOS with PROMIS-25 in adult and pediatric hip preservation patients.

METHODS

This study included patients indicated for a hip preservation procedure at our institution. All patients completed the iHOT-12, HOS, and PROMIS instruments through an electronic PRO platform before surgery. Spearman correlations were calculated separately for adult and pediatric patients between the various domains in each tool. A rho-to-z transformation analysis was conducted to assess whether there are differences in PROMs correlations between demographic factors.

RESULTS

A total of 62 patients were enrolled in this study from July 2020 to July 2023. The average age was 20.1 years (SD: 6.7 years), and more pediatric patients (64.5%) were enrolled than adult patients (35.4%). Multiple PROMIS domains, such as functional mobility, had strong or strong-moderate correlations with other hip PROMs in both adult (HOS activities of daily living: ρ = 0.76, P < 0.01; HOS Sports: ρ = 0.84, P < 0.01; iHOT-12: ρ = 0.85, P < 0.01) and pediatric (HOS activities of daily living: ρ = 0.79, P < 0.01; HOS Sports: ρ = 0.88, P < 0.01; iHOT-12: ρ = 0.66, P < 0.01) patients. Notable effects of age and sex were observed on correlations between PROMs (P< 0.05).

CONCLUSION

There are strong correlations between iHOT-12, HOS, and PROMIS domains designed to measure similar constructs in both age groups. However, certain demographic differences may markedly influence the correlation between iHOT-12/HOS and PROMIS. PROMIS-25 can accurately capture outcomes for both adult and pediatric patients undergoing hip preservation surgery.

Rasch Analysis of Joint Replacement Version for Hip Disability and Osteoarthritis Outcome in Individuals With Advanced Osteoarthritis of Hip Awaiting Total Hip Arthroplasty Surgery

OBJECTIVE

The objective of this study was to examine measurement properties of the Joint replacement version for Hip Disability and Osteoarthritis Outcome Score (HOOS-JR) using Rasch analysis in patients with osteoarthritis of hip (HOA).

DESIGN

Cross-sectional clinical measurement SETTING: Patient outcomes database at a tertiary care hospital PARTICIPANTS: Convenience sampling of patients with HOA scheduled for total hip arthroplasty (N=327) OUTCOME MEASURES AND ANALYSIS: The data for pre-surgery assessments for patients with HOA were extracted from an existing database. Variables extracted included HOOS-JR scores, demographic information (age, sex), health-related data, and anthropometric variables. The assumptions of Rasch model such as the test of fit, fit residuals, ordering of item thresholds, factor structure, DIF, internal consistency and Pearson separation index were examined for the HOOS-JR scores.

RESULTS

The HOOS-JR showed adequate overall fit to the Rasch model, logically ordered response thresholds, no floor or ceiling effects, and high internal consistency (Cronbach's alpha of 0.91). The HOOS-JR did not satisfy the assumption of unidimensionality, albeit the violation of this assumption was marginal (6.12% over 5%). Person-item threshold distribution (difference between person and item means were equal to 0.92 which was less than 1 logit unit) confirmed that the HOOS-JR scores were well targeted.

CONCLUSIONS

Given that the violation of unidimensionality for HOOS-JR was marginal, we recommend further studies to validate this finding. Results broadly support the use of HOOS-JR for assessing hip health in patients with HOA.

Can Patient-Reported Outcome Measurement Information System Measures Estimate High Impact Chronic Pain After Total Joint Arthroplasty?

BACKGROUND

High impact chronic pain (HICP) is not typically measured following orthopedic surgeries, but has a substantial negative impact on postoperative quality of life. This analysis determined which Patient-Reported Outcome Measurement Information System (PROMIS) measures accurately estimate HICP status following total joint arthroplasty (TJA).

METHODS

This was a secondary analysis of a hip and knee TJA cohort. HICP status was determined by two items from the Graded Chronic Pain Scale-Revised. The cohort (n = 2,400) consisted of 47.5% hip (n = 1,142) and 52.5% knee TJA (n = 1,258). For total hip arthroplasty (THA), 53.7% were women (n = 615), 48.6% were 65 years or older (n = 557), 72.5% completed the survey more than 24 months after first surgery (n = 831), and 9.9% had HICP (n = 114). For total knee arthroplasty (TKA), 54.3% were women (n = 687), 59.3% were 65 years or older (n = 750), 72.3% survey completed the survey more than 24 months after first surgery (n = 915), and 11.5% had HICP (n = 145). Included PROMIS measures were pain interference, physical function, anxiety, and sleep disturbance. First, discriminant function analysis determined PROMIS measure contribution to HICP status. Then, area under the curve (AUC) calculated the accuracy of PROMIS measures to estimate HICP status. Influences of sociodemographic and surgical characteristics on AUC were explored in sensitivity analyses.

RESULTS

Results for TKA and THA were similar so they are presented collectively for the sake of brevity. Mean differences were identified for all PROMIS measures for those with HICP (All P values < 0.01). Pain interference (β = 0.934) and sleep disturbance (β = 0.154) were independently correlated with HICP status in discriminant function analyses. The AUC (95% CIs) for HICP were as follows: pain interference (.952-.973), physical function (.921-.949), sleep (.780-.838), and anxiety (.687-.757). Sensitivity analyses revealed little change in AUC and HICP cutoff scores for PROMIS pain interference and physical function.

CONCLUSION

Two PROMIS measures commonly administered as standard of care for orthopedics, pain interference, and physical function, can be used to estimate HICP status for THA and TKA, thereby refining assessment of TJA outcomes.

A review of quality-of-life in elderly osteoarthritis

INTRODUCTION

Osteoarthritis (OA) is the commonest joint disease in the world. Although aging is not invariably associated with OA, aging of the musculoskeletal system increases susceptibility to OA. Pain and reduced function due to OA, negatively impact health-related quality of life (HRQoL) in the elderly.

AREAS COVERED

We searched PubMed and Google Scholar with search term "osteoarthritis' combined with terms 'elderly' 'ageing' 'healthrelated quality of life' 'burden' "prevalence 'hip osteoarthritis' 'knee osteoarthritis' 'hand osteoarthritis' to identify relevant articles. This article discusses the global impact and joint-specific burden due to OA and the challenges in assessment of HRQoL in elderly with OA. We further describe some HRQoL determinants that particularly impact elderly persons with OA. These determinants include physical activity, falls, psychosocial consequences, sarcopaenia, sexual health, and incontinence. The usefulness of physical performance measures, as an adjunct to assessing HRQoL is explored. The review concludes by outlining strategies to improve HRQoL.

EXPERT OPINION

Assessment of HRQoL in elderly with OA is mandatory if effective interventions/treatment are to be instituted. But existent HRQoL assessments have shortcomings when used in elderly§. It is recommended that determinants of QoL which are unique to the elderly, be examined with greater detail and weightage in future studies.

Sleep disturbance, dyspnea, and anxiety following total joint arthroplasty: an observational study

BACKGROUND

Patient-Reported Outcomes Measurement Information System (PROMIS) domains for sleep disturbance, anxiety, and dyspnea have been under-reported for total joint arthroplasty (TJA). The aims of this study were to report postoperative differences for these domains based on TJA location and chronic pain state. We also investigated whether these domains were associated with physical function and pain interference outcomes.

METHODS

This was a retrospective, observational study of patients who underwent hip, knee, or shoulder TJA (primary and revision surgeries) at a single academic tertiary referral center. A subset of these patients completed an email-based survey for chronic pain grade (Chronic Pain Grade Scale-Revised) and sleep disturbance, anxiety, dyspnea, physical function, and pain interference (PROMIS short forms). Pre-operative and operative data were extracted from the electronic health record. Data analysis investigated PROMIS domains for differences in TJA location and chronic pain grade. Hierarchical linear regression determined associations of these domains with physical function and pain interference.

RESULTS

A total of 2638 individuals provided informed consent and completed the email survey. In the ANOVA models for sleep disturbance, anxiety, and dyspnea, there was no location by chronic pain grade interaction (p > 0.05) and no difference based on TJA location (p > 0.05). There were differences for chronic pain grade (p < 0.01). The poorest postoperative outcome score for each domain was associated with high impact chronic pain. Furthermore, sleep disturbance and dyspnea had the strongest associations with physical function and pain interference (p < 0.01).

CONCLUSIONS

Sleep disturbance, anxiety, and dyspnea did not vary based on TJA location, but were associated with postoperative chronic pain grade. Sleep disturbance and dyspnea were strongly associated with commonly reported outcomes of physical function and pain interference. These findings provide guidance for those interested in expanding TJA outcome assessment to include sleep disturbance, anxiety, and/or dyspnea.

Linking Hip Disability and Osteoarthritis Outcome Score-Physical Function Short Form and PROMIS Physical Function

INTRODUCTION

Linking scores on patient-reported outcome measures can enable data aggregation for research, clinical care, and quality. We aimed to link scores on the Hip Disability and Osteoarthritis Outcome Score-Physical Function Short Form (HOOS-PS) and the Patient-reported Outcomes Measurement Information System Physical Function (PROMIS PF).

METHODS

A retrospective study was conducted from 2017 to 2020 evaluating patients with hip osteoarthritis who received routine clinical care from an orthopaedic surgeon. Our sample included 3,382 unique patients with 7,369 pairs of HOOS-PS and PROMIS PF measures completed at a single nonsurgical, preoperative, or postoperative time point. We included one randomly selected time point of scores for each patient in our linking analysis sample. We compared the accuracy of linking using four methods, including equipercentile and item response theory-based approaches.

RESULTS

PROMIS PF and HOOS-PS scores were strongly correlated ( r = -0.827 for raw HOOS-PS scores and r = 0.820 for summary HOOS-PS scores). The assumptions were met for equipercentile and item response theory approaches to linking. We selected the item response theory-based Stocking-Lord approach as the optimal crosswalk and estimated item parameters for the HOOS-PS items on the PROMIS metric. A sensitivity analysis demonstrated overall robustness of the crosswalk estimates in nonsurgical, preoperative, and postoperative patients.

CONCLUSION

These crosswalks can be used to convert scores between HOOS-PS and PROMIS PF metric at the group level, which can be valuable for data aggregation. Conversion of individual patient-level data is not recommended secondary to increased risk of error.

Safety and efficacy of outpatient hip and knee arthroplasty: a systematic review with meta-analysis

INTRODUCTION

This systematic review aimed to assess the safety and efficacy of outpatient joint arthroplasty (OJA) pathways compared to inpatient pathways.

MATERIALS AND METHODS

An electronic literature search was conducted to identify eligible studies. Studies comparing OJA with inpatient pathways-following hip and/or (partial) knee arthroplasty-were included. Included studies were assigned-based on OJA definition-to one of the following two groups: (1) outpatient surgery (OS); outpatient defined as discharge on the same day as surgery; and (2) semi-outpatient surgery (SOS); outpatient defined as discharge within 24 h after surgery with or without an overnight stay. Methodological quality was assessed. Outcomes included (serious) adverse events ((S)AEs), readmissions, successful same-day discharge rates, patient-reported outcome measures (PROMs) and costs. Meta-analyses and subgroup analyses by type of arthroplasty were performed when deemed appropriate.

RESULTS

A total of 41 studies (OS = 26, SOS = 15) met the inclusion criteria. One RCT and 40 observational studies were included, with an overall risk-of-bias of moderate to high. Forty studies were included in the meta-analysis. Outpatients (both OS and SOS) were younger and had a lower BMI and ASA class compared to inpatients. Overall, no significant differences between outpatients and inpatients were found for overall complications and readmission rates, and improvement in PROMs. By type of arthroplasty, only THAs in OS pathways were associated with fewer AEs [OR = 0.55 (0.41-0.74)] compared to inpatient pathways. 92% of OS patients were discharged on the day of surgery. OJA resulted in an average cost reduction of $6.797,02.

CONCLUSION

OJA pathways are as safe and effective as inpatient pathways in selected populations, with a potential reduction of costs. Considerable risk of bias in the majority of studies emphasizes the need for further research.

Use of Patient-Reported Outcomes Measurement Information System (PROMIS) measures to characterise health status for patients seeking care from an orthopaedic provider: a retrospective cohort study

OBJECTIVES

Characterise the health status of patients newly consulting an orthopaedic specialist across eight clinical subspecialties.

DESIGN

Retrospective cohort.

SETTING

18 orthopaedic clinics, including 8 subspecialties (14 ambulatory and 4 hospital based) within an academic health system.

PARTICIPANTS

14 910 patients consulting an orthopaedic specialist for a new patient consultation who completed baseline Patient-Reported Outcomes Measurement Information System (PROMIS) measures associated with their appointment from 17 November 2017 to 13 May 2019. Patients were aged 55.72±5.8 years old, and 61.3% were female and 79.3% were Caucasian and 13.4% were black or African American. Patients who did not complete PROMIS measures or cancelled their appointment were excluded from the study.

PRIMARY OUTCOME

PROMIS domains of physical function, pain interference, pain intensity, depression, anxiety, fatigue, sleep disturbance and the ability to participate in social roles.

RESULTS

Mean PROMIS scores for physical function were (38.1±9.2), pain interference (58.9±8.1), pain intensity (4.6±2.5), depression (47.9±8.9), anxiety (49.9±9.5), fatigue (50.5±10.3), sleep disturbance (51.1±9.8) and ability to participate in social roles (49.1±10.3) for the entire cohort. Across the clinical subspecialties, neurosurgery, spine and trauma patients were most profoundly affected across almost all domains and patients consulting with a hand specialist reported the least limitations or symptoms across domains. There was a moderate, negative correlation between pain interference and physical functioning (r=-0.59) and low correlations between pain interference with anxiety (r=0.36), depression (r=0.39) as well as physical function and anxiety (r=-0.32) and depression(r=-0.30) and sleep (r=-0.31).

CONCLUSIONS

We directly compared clinically meaningful PROMIS domains across eight orthopaedic subspecialties, which would not have been possible with legacy measures alone. These results support PROMIS's utility as a common metric to assess and compare patient health status across multiple orthopaedic subspecialties.

Correlation Between Patient-Reported Outcome Measures and Health Insurance Provider Types in Patients with Hip Osteoarthritis

BACKGROUND

Patient-reported outcome measures (PROMs) are frequently utilized to assess patient perceptions of health and function. Numerous factors influence self-reported physical and mental health outcome scores. The purpose of this study was to examine if an association exists between insurance payer type and baseline PROM scores in patients diagnosed with hip osteoarthritis.

METHODS

We retrospectively reviewed the baseline PROM scores of 5,974 patients diagnosed with hip osteoarthritis according to the International Classification of Diseases, Tenth Revision (ICD-10) code within our institutional database from 2015 to 2020. We examined Hip disability and Osteoarthritis Outcome Score-Physical Function Short-form (HOOS-PS), Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function Short Form 10a (PF10a), PROMIS Global-Mental, and PROMIS Global-Physical scores. Descriptive analyses, analysis of variance (ANOVA), analysis of covariance (ANCOVA), and post hoc analyses were utilized to assess variations in PROM scores across insurance type.

RESULTS

The mean age (and standard deviation) of the study population was 63.5 ± 12.2 years, and 55.7% of patients were female. The Medicaid cohort had a comparatively higher percentage of Black, Hispanic, and non-English-speaking patients and a lower median household income. The Charlson Comorbidity Index was highest in the Medicare and Medicaid insurance cohorts. Patients utilizing commercial insurance consistently demonstrated the highest baseline PROMs, and patients utilizing Medicaid consistently demonstrated the lowest baseline PROMs. Subsequent analyses found significantly poorer mean scores for the Medicaid cohort for all 4 PROMs when compared with the commercial insurance and Medicare cohorts. These score differences exceeded the minimal clinically important differences (MCIDs). For the PROMIS Global-Mental subscore, a significantly lower mean score was observed for the Workers' Compensation and motor vehicle insurance cohort when compared with the commercial insurance and Medicare cohort. This difference also exceeded the MCID.

CONCLUSIONS

PROM scores in patients with hip osteoarthritis varied among those with different insurance types. Variations in certain demographic and health indices are potential drivers of these observed baseline PROM differences. For patients with hip osteoarthritis, the use of PROMs for research, clinical, or quality-linked payment metrics should acknowledge baseline variation between patients with different insurance types.

LEVEL OF EVIDENCE

Prognostic Level IV. See Instructions for Authors for a complete description of levels of evidence.

Can PROMIS measures be used to create subgroups for patients seeking orthopaedic care?

Aims

Patient-reported outcome measures have become an important part of routine care. The aim of this study was to determine if Patient-Reported Outcomes Measurement Information System (PROMIS) measures can be used to create patient subgroups for individuals seeking orthopaedic care.

Methods

This was a cross-sectional study of patients from Duke University Department of Orthopaedic Surgery clinics (14 ambulatory and four hospital-based). There were two separate cohorts recruited by convenience sampling (i.e. patients were included in the analysis only if they completed PROMIS measures during a new patient visit). Cohort #1 (n = 12,141; December 2017 to December 2018,) included PROMIS short forms for eight domains (Physical Function, Pain Interference, Pain Intensity, Depression, Anxiety, Sleep Quality, Participation in Social Roles, and Fatigue) and Cohort #2 (n = 4,638; January 2019 to August 2019) included PROMIS Computer Adaptive Testing instruments for four domains (Physical Function, Pain Interference, Depression, and Sleep Quality). Cluster analysis (K-means method) empirically derived subgroups and subgroup differences in clinical and sociodemographic factors were identified with one-way analysis of variance.

Results

Cluster analysis yielded four subgroups with similar clinical characteristics in Cohort #1 and #2. The subgroups were: 1) Normal Function: within normal limits in Physical Function, Pain Interference, Depression, and Sleep Quality; 2) Mild Impairment: mild deficits in Physical Function, Pain Interference, and Sleep Quality but with Depression within normal limits; 3) Impaired Function, Not Distressed: moderate deficits in Physical Function and Pain Interference, but within normal limits for Depression and Sleep Quality; and 4) Impaired Function, Distressed: moderate (Physical Function, Pain Interference, and Sleep Quality) and mild (Depression) deficits.

Conclusion

These findings suggest orthopaedic patient subgroups differing in physical function, pain, and psychosocial distress can be created from as few as four different PROMIS measures. Longitudinal research is necessary to determine whether these subgroups have prognostic validity.

Cite this article: Bone Jt Open 2021;2(7):493–502.