Postoperative pain trajectories in total hip arthroplasty

Aims

Total hip arthroplasty (THA) is a common procedure to address pain and enhance function in hip disorders such as osteoarthritis. Despite its success, postoperative patient recovery exhibits considerable heterogeneity. This study aimed to investigate whether patients follow distinct pain trajectories following THA and identify the patient characteristics linked to suboptimal trajectories.

Methods

This retrospective cohort study analyzed THA patients at a large academic centre (NYU Langone Orthopedic Hospital, New York, USA) from January 2018 to January 2023, who completed the Patient-Reported Outcomes Measurement Information System (PROMIS) pain intensity questionnaires, collected preoperatively at one-, three-, six-, 12-, and 24-month follow-up times. Growth mixture modelling (GMM) was used to model the trajectories. Optimal model fit was determined by Bayesian information criterion (BIC), Vuong-Lo-Mendell-Rubin likelihood ratio test (VLMR-LRT), posterior probabilities, and entropy values. Association between trajectory groups and patient characteristics were measured by multinomial logistic regression using the three-step approach.

Results

Among the 1,249 patients, a piecewise GMM model revealed three distinct pain trajectory groups: 56 patients (4.5%) in group 1; 1,144 patients (91.6%) in group 2; and 49 patients (3.9%) in group 3. Patients in group 2 experienced swift recovery post-THA and minimal preoperative pain. In contrast, groups 1 and 3 initiated with pronounced preoperative pain; however, only group 3 exhibited persistent long-term pain. Multinomial regression indicated African Americans were exceedingly likely to follow trajectory groups 1 (odds ratio (OR) 2.73) and 3 (OR 3.18). Additionally, odds of membership to group 3 increased by 12% for each BMI unit rise, by 19% for each added postoperative day, and by over four if discharged to rehabilitation services (OR 4.07).

Conclusion

This study identified three distinct pain trajectories following THA, highlighting the role of individual patient factors in postoperative recovery. This emphasizes the importance of preoperatively addressing modifiable risk factors associated with suboptimal pain trajectories, particularly in at-risk patients.

Establishing the Patient Acceptable Symptom State in a Nonshoulder Hand and Upper Extremity Population for the QuickDASH and PROMIS UE Computer Adaptive Tests

PURPOSE

It is unclear what score thresholds on patient-reported outcomes instruments reflect an acceptable level of upper extremity (UE) function from the perspective of patients undergoing hand surgery. The purpose of this study was to calculate the patient acceptable symptom state (PASS) for the Disabilities of the Arm, Shoulder, and Hand (QuickDASH) and Patient-Reported Outcomes Measurement Information System (PROMIS) UE Computer Adaptive Test (CAT), version 2.0, in a population who underwent hand surgery.

METHODS

Adult patients who underwent hand surgery between February 2019 and December 2019 at a single academic tertiary institution were identified. QuickDASH and PROMIS UE CAT version 2.0 scores were collected 1 year after surgery, as were separate symptom- and function-specific anchor questions that queried the acceptability of patients' current state. Threshold values predictive of a patient reporting an acceptable symptom state (PASS[+]) were calculated for both instruments using the 75th percentile score for patients in the PASS(+) group and the Youden Index as determined by receiver operating curve (ROC) analysis.

RESULTS

A total of 222 patients were included. QuickDASH and PROMIS UE CAT scores differed significantly between the PASS(+) and PASS(-) groups. The 75th percentile method yielded PASS values of <16 for the QuickDASH and >43 for the PROMIS UE CAT for both anchor questions. The ROC analysis yielded PASS estimates of <15.9 to <20.5 for the QuickDASH and >38.1 to >46.2 for the PROMIS UE CAT, with ranges calculated from differing threshold values for each of the 2 anchor questions. The ROC-based estimates demonstrated high levels of model discrimination (area under the curve ≥ 0.80).

CONCLUSIONS

We propose PASS estimates obtained using the 75th percentile and ROC methods.

CLINICAL RELEVANCE

Specifically, PASS values in the range of 15.9-20.5 for the QuickDASH and 38.1-46.2 for the PROMIS UE CAT version 2.0 should be used when interpreting outcomes at a population level.

Protocol for Surgery or Cast of the EpicoNdyle in Children's Elbows (SCIENCE)

Aims

The management of fractures of the medial epicondyle is one of the greatest controversies in paediatric fracture care, with uncertainty concerning the need for surgery. The British Society of Children's Orthopaedic Surgery prioritized this as their most important research question in paediatric trauma. This is the protocol for a randomized controlled, multicentre, prospective superiority trial of operative fixation versus nonoperative treatment for displaced medial epicondyle fractures: the Surgery or Cast of the EpicoNdyle in Children's Elbows (SCIENCE) trial.

Methods

Children aged seven to 15 years old inclusive, who have sustained a displaced fracture of the medial epicondyle, are eligible to take part. Baseline function using the Patient-Reported Outcomes Measurement Information System (PROMIS) upper limb score, pain measured using the Wong Baker FACES pain scale, and quality of life (QoL) assessed with the EuroQol five-dimension questionnaire for younger patients (EQ-5D-Y) will be collected. Each patient will be randomly allocated (1:1, stratified using a minimization algorithm by centre and initial elbow dislocation status (i.e. dislocated or not-dislocated at presentation to the emergency department)) to either a regimen of the operative fixation or non-surgical treatment.

Outcomes

At six weeks, and three, six, and 12 months, data on function, pain, sports/music participation, QoL, immobilization, and analgesia will be collected. These will also be repeated annually until the child reaches the age of 16 years. Four weeks after injury, the main outcomes plus data on complications, resource use, and school absence will be collected. The primary outcome is the PROMIS upper limb score at 12 months post-randomization. All data will be obtained through electronic questionnaires completed by the participants and/or parents/guardians. The NHS number of participants will be stored to enable future data linkage to sources of routinely collected data (i.e. Hospital Episode Statistics).

Patient-reported outcomes measurement information system depression psychometrically underperforms compared to legacy measures and is poorly associated with postoperative functional outcomes in shoulder arthroplasty patients

Background

The purpose of this study was to investigate the associations between each mental health patient-reported outcome measure with postoperative functional outcomes following shoulder arthroplasty, and to compare psychometric properties of patient-reported outcomes measurement information system depression to the legacy (VR-12 Mental) patient-reported outcome measure.

Methods

Patients who underwent primary shoulder arthroplasty from July 2018 to February 2019 were retrospectively reviewed. Patient-reported outcomes measurement information system depression and VR-12 Mental were administered preoperatively; American Shoulder and Elbow Surgeons and Single Assessment Numeric Evaluation were administered at 6-month and 1-year postoperatively. Rasch partial credit modeling analysis was used to compare psychometric properties of legacy versus patient-reported outcomes measurement information system instruments in assessing mental health.

Results

Ninety-three patients who underwent total shoulder arthroplasty (n = 52), reverse total shoulder arthroplasty (n = 39), or hemiarthroplasty (n = 2) were included. Preoperative VR-12 Mental scores were moderately associated with American Shoulder and Elbow Surgeons at 6-months (coefficient: 0.52, P = 0.026) and 1-year (coefficient: 0.65, P = 0.002), while preoperative patient-reported outcomes measurement information system depression scores were not. Patient-reported outcomes measurement information system depression demonstrated significant floor effects (16%); VR-12 Mental demonstrated minimal floor and ceiling effects (1.1% for both). VR-12 Mental demonstrated broader coverage of mental outlook on Rasch modeling than patient-reported outcomes measurement information system depression and had adequate model fit after one round of reiterative item elimination.

Discussion

Patient-reported outcomes measurement information system depression was poorly associated with postoperative American Shoulder and Elbow Surgeons scores, demonstrated significant floor effects, and had limited coverage of mental health on Rasch modeling with reiterative elimination.

Level of Evidence

IV.

Overcoming floor and ceiling effects in knee arthroplasty outcome measurement

Aims

To map the Oxford Knee Score (OKS) and High Activity Arthroplasty Score (HAAS) items to a common scale, and to investigate the psychometric properties of this new scale for the measurement of knee health.

Methods

Patient-reported outcome measure (PROM) data measuring knee health were obtained from the NHS PROMs dataset and Total or Partial Knee Arthroplasty Trial (TOPKAT). Assumptions for common scale modelling were tested. A graded response model (fitted to OKS item responses in the NHS PROMs dataset) was used as an anchor to calibrate paired HAAS items from the TOPKAT dataset. Information curves for the combined OKS-HAAS model were plotted. Bland-Altman analysis was used to compare common scale scores derived from OKS and HAAS items. A conversion table was developed to map between HAAS, OKS, and the common scale.

Results

We included 3,329 response sets from 528 patients undergoing knee arthroplasty. These generally met the assumptions of unidimensionality, monotonicity, local independence, and measurement invariance. The HAAS items provided more information than OKS items at high levels of knee health. Combining both instruments resulted in higher test-level information than either instrument alone. The mean error between common scale scores derived from the OKS and HAAS was 0.29 logits.

Conclusion

The common scale allowed more precise measurement of knee health than use of either the OKS or HAAS individually. These techniques for mapping PROM instruments may be useful for the standardization of outcome reporting, and pooling results across studies that use either PROM in individual-patient meta-analysis.

Predicting whether patients will achieve minimal clinically important differences following hip or knee arthroplasty

Aims

A substantial fraction of patients undergoing knee arthroplasty (KA) or hip arthroplasty (HA) do not achieve an improvement as high as the minimal clinically important difference (MCID), i.e. do not achieve a meaningful improvement. Using three patient-reported outcome measures (PROMs), our aim was: 1) to assess machine learning (ML), the simple pre-surgery PROM score, and logistic-regression (LR)-derived performance in their prediction of whether patients undergoing HA or KA achieve an improvement as high or higher than a calculated MCID; and 2) to test whether ML is able to outperform LR or pre-surgery PROM scores in predictive performance.

Methods

MCIDs were derived using the change difference method in a sample of 1,843 HA and 1,546 KA patients. An artificial neural network, a gradient boosting machine, least absolute shrinkage and selection operator (LASSO) regression, ridge regression, elastic net, random forest, LR, and pre-surgery PROM scores were applied to predict MCID for the following PROMs: EuroQol five-dimension, five-level questionnaire (EQ-5D-5L), EQ visual analogue scale (EQ-VAS), Hip disability and Osteoarthritis Outcome Score-Physical Function Short-form (HOOS-PS), and Knee injury and Osteoarthritis Outcome Score-Physical Function Short-form (KOOS-PS).

Results

Predictive performance of the best models per outcome ranged from 0.71 for HOOS-PS to 0.84 for EQ-VAS (HA sample). ML statistically significantly outperformed LR and pre-surgery PROM scores in two out of six cases.

Conclusion

MCIDs can be predicted with reasonable performance. ML was able to outperform traditional methods, although only in a minority of cases.

Analyses of Cross-Sectional Data to Link the PEG With the Patient Reported Outcomes Measurement and Information System (PROMIS) Global Physical Health Scale

It is challenging to synthesize findings across studies of pain impact. This study develops a link to estimate the Patient-Reported Outcomes Measurement Information System (PROMIS) global health measure from the 3-item Pain intensity, interference with Enjoyment of life, interference with General activity (PEG) scale. The PROMIS and PEG items were administered to 795 adults (average age = 51; 54% female, 79% White). We estimated correlations among the PEG and PROMIS items and conducted factor analysis to identify the best subset of PROMIS items for linking to the PEG. An item response theory graded response model was estimated to link the PEG with the 4-item PROMIS global physical health scale. A categorical single-factor model and a bifactor model provided support for a single dimension for the PEG and PROMIS global physical health items. The product-moment correlation between estimated PROMIS global physical health scale from the PEG and the actual global physical health score was .74. The mean difference between estimated PROMIS global physical health scale score from the PEG and the observed global physical health score was less than a T-score point. This study makes it possible to estimate the average global physical health for group-level comparisons in research that includes the PEG. PERSPECTIVE: This article describes an empirical link of the PEG to the PROMIS global physical health scale that makes it possible to estimate the average global physical health in studies that include the PEG. This link can facilitate comparisons among studies that have not administered the PEG or the PROMIS global health scale.

Construct Validity of Pediatric PROMIS Computerized Adaptive Testing Measures in Children With Adolescent Idiopathic Scoliosis

BACKGROUND

The use of patient-reported outcome measures, especially Patient-Reported Outcomes Measurement Information System (PROMIS) measures, has increased in recent years. Given this growth, it is imperative to ensure that the measures being used are validated for the intended population(s)/disease(s). Our objective was to assess the construct validity of 8 PROMIS computer adaptive testing (CAT) measures among children with adolescent idiopathic scoliosis (AIS).

METHODS

We prospectively enrolled 200 children (aged 10 to 17 y) with AIS, who completed 8 PROMIS CATs (Anxiety, Depressive Symptoms, Mobility, Pain Behavior, Pain Interference, Peer Relationships, Physical Activity, Physical Stress Experiences) and the Scoliosis Research Society-22r questionnaire (SRS-22r) electronically. Treatment categories were observation, bracing, indicated for surgery, or postoperative from posterior spinal fusion. Construct validity was evaluated using known group analysis and convergent and discriminant validity analyses. Analysis of variance was used to identify differences in PROMIS T -scores by treatment category (known groups). The Spearman rank correlation coefficient ( rs ) was calculated between corresponding PROMIS and SRS-22r domains (convergent) and between unrelated PROMIS domains (discriminant). Floor/ceiling effects were calculated.

RESULTS

Among treatment categories, significant differences were found in PROMIS Mobility, Pain Behavior, Pain Interference, and Physical Stress Experiences and in all SRS-22r domains ( P <0.05) except Mental Health ( P =0.15). SRS-22r Pain was strongly correlated with PROMIS Pain Interference ( rs =-0.72) and Pain Behavior ( rs =-0.71) and moderately correlated with Physical Stress Experiences ( rs =-0.57). SRS-22r Mental Health was strongly correlated with PROMIS Depressive Symptoms ( rs =-0.72) and moderately correlated with Anxiety ( rs =-0.62). SRS-22r Function was moderately correlated with PROMIS Mobility ( rs =0.64) and weakly correlated with Physical Activity ( rs =0.34). SRS-22r Self-Image was weakly correlated with PROMIS Peer Relationships ( rs =0.33). All unrelated PROMIS CATs were weakly correlated (| rs |<0.40). PROMIS Anxiety, Mobility, Pain Behavior, and Pain Interference and SRS-22r Function, Pain, and Satisfaction displayed ceiling effects.

CONCLUSIONS

Evidence supports the construct validity of 6 PROMIS CATs in evaluating AIS patients. Ceiling effects should be considered when using specific PROMIS CATs.

LEVEL OF EVIDENCE

Level II, prognostic.

Association of Preoperative Physical Function and Changes in Mental Health After Minimally Invasive Transforaminal Lumbar Interbody Fusion

BACKGROUND

Few investigations have focused on the predictive value of Patient-Reported Outcomes Measurement Information System (PROMIS) scores, patient depression measured by the Patient Health Questionnaire-9 (PHQ-9), and their relationship in the setting of minimally invasive transforaminal lumbar interbody fusion (MIS TLIF). This study aims to detail the association between preoperative physical function with postoperative change in physical function and in depressive symptoms.

METHODS

A prospectively maintained surgical registry was retrospectively reviewed from March 2016 to February 2019. Inclusion criteria were primary, single-level MIS TLIF procedures. Multilevel procedures and patients without PROMIS or PHQ-9 were excluded. Patients were grouped by preoperative PROMIS score (<35.0 and ≥35.0), with higher scores indicating greater physical function. A t test analyzed differences between PROMIS subgroups for operative time (skin incision to closure), estimated blood loss, length of stay, and discharge day. A t test also assessed the difference in PROMIS Physical Function (PF) and PHQ-9. Linear regression evaluated the relationship between pre- and postoperative PROMIS and PHQ-9.

RESULTS

Of 119 patients, 53.8% were male and 47.9% were obese. The mean ± SD age was 52.2 ± 10.7 years. The PROMIS <35.0 group had a larger improvement of PROMIS scores compared to the PROMIS ≥35.0 group at 6 weeks, 12 weeks, and 6 months. There was a negative association between preoperative PROMIS and PROMIS score improvement at 6 weeks, 12 weeks, and 6 months. For all time points, improvement in PHQ-9 was not associated with preoperative PROMIS scores.

CONCLUSION

From 0 weeks to 6 months after MIS TLIF, patients with lower preoperative physical function had larger improvements in PROMIS PF scores. Preoperative function was not predictive of postoperative changes in PHQ-9. While relationships between mental and physical health cannot be discounted, the lack of PHQ-9 association with physical function demonstrates the impact that MIS TLIF can have, regardless of PROMIS PF score.

CLINICAL RELEVANCE

Patients demonstrating lower levels of preoperative physical function may be in position for greater improvements in physical function following MIS TLIF surgery. In this study, there was no clear relationship between preoperative physical function levels and postoperative improvement in mental health, suggesting that all patients may achieve similar mental health improvement following MIS TLIF.

LEVEL OF EVIDENCE

3.

Does the Patient-Reported Outcomes Measurement Information System Correlate to Legacy Scores in Measuring Mental Health in Young Total Hip Arthroplasty Patients?

Background

Mental health is becoming increasingly important in patient outcomes. The patient reported outcome measurement information system (PROMIS) was developed by the NIH to collect outcome data in rapid dynamic fashion on electronic platforms. The potential role of PROMIS in monitoring young total hip arthroplasty (THA) patients is under-investigated. The purpose of this study is to investigate correlations between PROMIS Depression or Anxiety with SF-12 mental component score.

Methods

We identified 223 hips (200 patients) who underwent primary THA over a 30-month period at a single institution. Patients without preoperative PROMIS or SF-12 mental scores, or >50yo were excluded. All data was collected preoperatively and included age, sex, BMI, ASA, PROMIS Depression, PROMIS Anxiety, and SF-12 Mental component score. We considered floor and ceiling effects as significant if >15% of patients responded with the lowest or highest possible score, respectively. Relationships between SF-12 and PROMIS were investigated using correlation (R), and were considered strong if R>0.7.

Results

Mean age was 41-years-old, mean ASA category was 2, mean BMI was 30kg/m2, and 54% were female. None of the PROMs showed any floor/ceiling effects at baseline. PROMIS Depression showed a strong correlation to SF-12 Mental (R=-0.72) while PROMIS Anxiety showed a moderate correlation to SF-12 Mental (R=-0.58). Negative linear relationships were observed because a lower PROMIS Depression/Anxiety values indicates less depressive/anxious feelings (inverse of SF-12).

Conclusion

PROMIS Anxiety and Depression correlate well with SF-12 mental. These PROMIS domains may be attractive alternatives to legacy mental health instruments in young THA patients. Level of Evidence: III.

Patient-Reported Outcomes and Radiographic Assessment in Primary and Revision Stage II, III, and IV Progressive Collapsing Foot Deformity Surgery

BACKGROUND

Progressive collapsing foot deformity (PCFD) is a progressive hindfoot and midfoot deformity causing pain and disability. Although operative treatment is stage dependent, few studies have looked at patient-reported and radiographic outcomes stratified by primary vs revision stage II, III, and IV reconstruction surgery. Our goal was to assess operative improvement using Patient-Reported Outcomes Measurement Information System (PROMIS) and to determine whether radiographic parameter improvement correlates with patient-reported outcomes.

METHODS

PROMIS Physical Function (PF) and Pain Interference (PI) scores were prospectively obtained on 46 consecutive patients who underwent PCFD reconstruction between November 2013 and January 2019. Thirty-six patients completed pre- and postoperative PROMIS surveys, 6 patients completed only preoperative PROMIS surveys, and 4 patients completed 12-month postoperative PROMIS surveys but did not complete preoperative PROMIS surveys. Minimum follow-up was 12 (average, 23) months. Radiographic correction was measured with pre- and postoperative weightbearing radiographs and correlated with PROMIS scores. Measurements included the talonavicular uncoverage angle, talonavicular uncoverage percentage, anteroposterior talo-first metatarsal angle, Meary angle, medial cuneiform height (MCH), and medial cuneiform-fifth metatarsal height.

RESULTS

For the overall cohort, PROMIS PF increased significantly from 37.5±5.6 to 42.3±7.1 (P = .0014). PROMIS PI improved significantly from 64.5±6.0 to 55.1±9.8 (P < .0001). Preoperative, postoperative, and change in PROMIS scores were not statistically different between PCFD stages. Change in PROMIS PI was significantly greater in primary (-12.3) vs revision (-3.7) surgery (P = .0157). Change in PROMIS PF was greater in primary (+6.0) vs revision surgery (+2.3) but did not reach statistical significance. All radiographic measurements improved significantly (P < .05). In primary stage II PCFD, postoperative PROMIS scores correlated with postoperative MCH (PF: r = 0.7725, P = .0020; PI: r = -0.5692, P = .0446).

CONCLUSION

Patient-reported and radiographic outcomes improved significantly after PCFD reconstruction. We found no significant difference in preoperative, postoperative, or change in PROMIS scores between PCFD stages. However, stage III patients had smaller improvements in PROMIS PF, which we feel may be secondary to change in function after arthrodesis. Primary operations had better patient-reported outcomes compared to revision operations. In primary stage II PCFD, reconstructing the medial arch height correlated significantly with improvement in pain and functionality.

LEVEL OF EVIDENCE

Level II, prospective cohort study.

Health-related quality of life and adherence to hydroxyurea in adolescents and young adults with sickle cell disease

BACKGROUND

Complications related to sickle cell disease (SCD) result in significant declines in health-related quality of life (HRQOL). While hydroxyurea reduces SCD complications, adherence remains suboptimal. The study's objectives were to assess the feasibility of Internet-based electronic assessment of HRQOL in SCD clinic and to examine the relationship between HRQOL and hydroxyurea adherence in adolescents and young adults (AYAs) with SCD.

PROCEDURE

A cross-sectional survey was administered on tablets to 34 AYAs (12-22 years old) in a SCD clinic from January through December 2015. Study measures included Patient Reported Outcomes Measurement Information System (PROMIS^® ) computerized adaptive testing and ©Modified Morisky Adherence Scale 8-items (©MMAS-8).

RESULTS

Participants (59% male, 91% Black) had median age of 13.5 (range 12-18) years. Ninety-one percent completed PROMIS® measures electronically in the clinic, meeting our feasibility criterion of ≥85% completion rate. ©MMAS-8 scores positively correlated with fetal hemoglobin (HbF) (r_s = 0.34, P = 0.04) and mean corpuscular volume (MCV) (r_s = 0.42, P = 0.01) and inversely correlated with fatigue (r_s = -0.45, P = 0.01), depression (r_s = -0.3, P = 0.08), and social isolation (r_s = -0.78, P = 0.02). Low ©MMAS-8 scores, indicating poor adherence, were associated with worse fatigue (P = 0.001) and trended toward significance for pain (P = 0.07) and depression (P = 0.06). Homozygous hemoglobin S disease patients with low HbF (<16%) had worse social isolation (P = 0.04) and those with low MCV (<102 fl) reported worse fatigue (P = 0.001), pain (P = 0.01), mobility (P = 0.01), and social isolation (P = 0.04).

CONCLUSIONS

HRQOL assessment in the SCD clinic is feasible. SCD patients with low hydroxyurea adherence and/or low HbF or MCV levels had worse HRQOL scores, particularly fatigue. Future prospective studies examining the relationship between HRQOL and hydroxyurea adherence are warranted.