Development and validation of a clinical prediction model for patient-reported pain and function after primary total knee replacement surgery.
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ABSTRACT:
SUBMITTER: Sanchez-Santos MT
PROVIDER: S-EPMC5821875 | biostudies-other | 2018 Feb
REPOSITORIES: biostudies-other
Publications
Development and validation of a clinical prediction model for patient-reported pain and function after primary total knee replacement surgery.
Sanchez-Santos M T MT Garriga C C Judge A A Batra R N RN Price A J AJ Liddle A D AD Javaid M K MK Cooper C C Murray D W DW Arden N K NK
Scientific reports 20180221 1
To develop and validate a clinical prediction model of patient-reported pain and function after undergoing total knee replacement (TKR). We used data of 1,649 patients from the Knee Arthroplasty Trial who received primary TKR across 34 centres in the UK. The external validation included 595 patients from Southampton University Hospital, and Nuffield Orthopaedic Centre (Oxford). The outcome was the Oxford Knee Score (OKS) 12-month after TKR. Pre-operative predictors including patient characterist ...[more]
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Project description:BackgroundA patient-engagement and pathway-management program for patients undergoing primary total hip and knee replacement was evaluated. Health-service and multimedia features supported by technology were integrated with existing enhanced recovery after surgery (ERAS) practices. The primary objective was to demonstrate the impact on length of stay. The secondary objective was to assess the impact on clinical, patient-focused, and financial outcomes.MethodsTwo thousand and eighty consecutive patients undergoing primary total hip replacement (n = 1,034) and total knee replacement (n = 1,046) were classified into "pre-program" (retrospectively assessed [n = 1,038]) and "program" (prospectively assessed [n = 1,042]) cohorts. Patients in the program cohort were subdivided according to those who were eligible for criteria-based outreach support (OS) (n = 401) and those who were ineligible for this service (NOS) (n = 641). Clinical outcomes were assessed for all patients, and patient-focused outcomes were assessed for a subset (n = 223).ResultsThe mean reduction in length of stay ranged from 20% (1.2 days) to 42% (2.5 days) following total hip replacement and from 9% (0.6 day) to 31% (2 days) following total knee replacement (p < 0.001). Clinical outcomes (readmissions, complications, emergency department re-attendance rates) were not significantly negatively impacted. The Oxford Hip Score had numerically larger improvement after total hip replacement in the OS group than in the pre-program group (4.1-point increase), and the Oxford Knee Score had numerically larger improvement after total knee replacement in the NOS group than in the pre-program group (0.8-point increase). The patients in the program cohort (either OS or NOS) rated overall health gain as higher than those in the pre-program cohort (gain in numerical rating scale, 1.4 points for patients managed with total hip replacement, 0.6 points for patients managed with total knee replacement). Older patients and those with higher comorbidity indices benefited most with respect to length of stay and multiple clinical outcomes. Patient experience was significantly improved across domains (p < 0.001 to p = 0.003). Potential savings for patients managed with total hip replacement (£401.64 [$267.76] per patient) exceeded estimated program charges of £50 [$33.33] to £60 [$40] per patient, whereas the potential savings for patients managed with total knee replacement (£76.67 [$51.11] per patient) were sufficient to achieve a reduction of total system costs.ConclusionsTechnology-enabled programs may deliver enhanced care at lower costs for patients undergoing lower-limb arthroplasty. Shorter durations of inpatient stay without a negative impact on clinical outcomes and improved patient-focused outcomes and experience can deliver substantial value that can be especially beneficial for older patients and those with greater medical complexity.Level of evidenceTherapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.
| S-EPMC6133096 | biostudies-literature
Project description:BackgroundTo assess whether income is associated with patient-reported outcomes (PROs) after primary total knee arthroplasty (TKA).MethodsWe used prospectively collected data from the Mayo Clinic Total Joint Registry to assess the association of income with index knee functional improvement, moderate to severe pain and moderate to severe activity limitation at 2-year and 5-year follow-up after primary TKA using multivariable-adjusted logistic regression analyses.ResultsThere were 7, 139 primary TKAs at 2 years and 4, 234 at 5 years. In multivariable-adjusted analyses, at 2-year follow-up, compared to income > US$45, 000, lower incomes of ≤ US$35, 000 and > US$35, 000 to 45, 000 were associated (1) significantly with moderate to severe pain with an odds ratio (OR) 0.61 (95% CI 0.40 to 0.94) (P = 0.02) and 0.68 (95% CI 0.49 to 0.94) (P = 0.02); and (2) trended towards significance for moderate to severe activity limitation with OR 0.78 (95% CI 0.60 to 1.02) (P = 0.07) and no significant association with OR 0.96 (95% CI 0.78 to 1.20) (P = 0.75), respectively. At 5 years, odds were not statistically significantly different by income, although numerically they favored lower income. In multivariable-adjusted analyses, overall improvement in knee function was rated as 'better' slightly more often at 2 years by patients with income in the ≤ US$35, 000 range compared to patients with income > US$45, 000, with an OR 1.9 (95% CI 1.0 to 3.6) (P = 0.06).ConclusionsWe found that patients with lower income had better pain outcomes compared to patients with higher income. There was more improvement in knee function, and a trend towards less overall activity limitation after primary TKA in lower income patients compared to those with higher incomes. Insights into mediators of these relationships need to be investigated to understand how income influences outcomes after TKA.
| S-EPMC3641978 | biostudies-literature
Project description:BackgroundAn increasing number of patients undergoing hip or knee replacement have chronic diseases. It has been suggested that the presence of chronic diseases may affect access to this type of surgery in the English National Health Service (NHS). We examined the access to hip and knee replacement surgery in patients with and without chronic diseases according to preoperative patient-reported pain, functional status and symptom duration.MethodsWe analysed data of 640,832 patients who had hip or knee surgery between 2009 and 2016 in England. Multivariable regression was used to estimate the impact of 11 chronic diseases on severity of joint problems as measured on a scale from 0 to 48 by Oxford Hip (OHS) and Knee Scores (OKS) just before surgery and on likelihood of long-standing joint problems (>?5?years pre-operatively).ResultsPatients with chronic diseases reported more severe joint problems than patients without (OHS differences ranged from 1.1 [95% CI 0.93, 1.2] to 2.5 [95% CI 2.3, 2.7] and OKS differences from 0.5 [95% CI 0.3, 0.7] to 2.6 [95% CI 2.4, 2.7] for the 11 chronic diseases) but the differences remain small. When analysed separately, patients with chronic diseases reported both more severe pain and poorer functional status. Six chronic diseases in hip patients and two in knee patients increased the likelihood that they had long-standing joint problems. The severity of joint problems just before surgery increased with the number of chronic diseases (OHS differences; one chronic disease (1.5 [95% CI 1.4, 1.5]) to four or more (5.8 [95% CI 5.6, 6.0])).ConclusionsPatients with chronic diseases reported more severe joint problems immediately before hip or knee replacement surgery suggesting they have hip or knee replacement later in the course of their joint disease.
| S-EPMC7329455 | biostudies-literature
Project description:BACKGROUND:Machine-learning classifiers mostly offer good predictive performance and are increasingly used to support shared decision-making in clinical practice. Focusing on performance and practicability, this study evaluates prediction of patient-reported outcomes (PROs) by eight supervised classifiers including a linear model, following hip and knee replacement surgery. METHODS:NHS PRO data (130,945 observations) from April 2015 to April 2017 were used to train and test eight classifiers to predict binary postoperative improvement based on minimal important differences. Area under the receiver operating characteristic, J-statistic and several other metrics were calculated. The dependent outcomes were generic and disease-specific improvement based on the EQ-5D-3L visual analogue scale (VAS) as well as the Oxford Hip and Knee Score (Q score). RESULTS:The area under the receiver operating characteristic of the best training models was around 0.87 (VAS) and 0.78 (Q score) for hip replacement, while it was around 0.86 (VAS) and 0.70 (Q score) for knee replacement surgery. Extreme gradient boosting, random forests, multistep elastic net and linear model provided the highest overall J-statistics. Based on variable importance, the most important predictors for post-operative outcomes were preoperative VAS, Q score and single Q score dimensions. Sensitivity analysis for hip replacement VAS evaluated the influence of minimal important difference, patient selection criteria as well as additional data years. Together with a small benchmark of the NHS prediction model, robustness of our results was confirmed. CONCLUSIONS:Supervised machine-learning implementations, like extreme gradient boosting, can provide better performance than linear models and should be considered, when high predictive performance is needed. Preoperative VAS, Q score and specific dimensions like limping are the most important predictors for postoperative hip and knee PROMs.
| S-EPMC6325823 | biostudies-other
Project description:BackgroundOne in 10 people in the United Kingdom will need a total knee replacement (TKR) during their lifetime. Access to this life-changing operation has recently been restricted based on body mass index (BMI) due to belief that high BMI may lead to poorer outcomes. We investigated the associations between BMI and revision surgery, mortality, and pain/function using what we believe to be the world's largest joint replacement registry.Methods and findingsWe analysed 493,710 TKRs in the National Joint Registry (NJR) for England, Wales, Northern Ireland, and the Isle of Man from 2005 to 2016 to investigate 90-day mortality and 10-year cumulative revision. Hospital Episodes Statistics (HES) and Patient Reported Outcome Measures (PROMs) databases were linked to the NJR to investigate change in Oxford Knee Score (OKS) 6 months postoperatively. After adjustment for age, sex, American Society of Anaesthesiologists (ASA) grade, indication for operation, year of primary TKR, and fixation type, patients with high BMI were more likely to undergo revision surgery within 10 years compared to those with "normal" BMI (obese class II hazard ratio (HR) 1.21, 95% CI: 1.10, 1.32 (p < 0.001) and obese class III HR 1.13, 95% CI: 1.02, 1.26 (p = 0.026)). All BMI classes had revision estimates within the recognised 10-year benchmark of 5%. Overweight and obese class I patients had lower mortality than patients with "normal" BMI (HR 0.76, 95% CI: 0.65, 0.90 (p = 0.001) and HR 0.69, 95% CI: 0.58, 0.82 (p < 0.001)). All BMI categories saw absolute increases in OKS after 6 months (range 18-20 points). The relative improvement in OKS was lower in overweight and obese patients than those with "normal" BMI, but the difference was below the minimal detectable change (MDC; 4 points). The main limitations were missing BMI particularly in the early years of data collection and a potential selection bias effect of surgeons selecting the fitter patients with raised BMI for surgery.ConclusionsGiven revision estimates in all BMI groups below the recognised threshold, no evidence of increased mortality, and difference in change in OKS below the MDC, this large national registry shows no evidence of poorer outcomes in patients with high BMI. This study does not support rationing of TKR based on increased BMI.
| S-EPMC8284626 | biostudies-literature
Project description:BackgroundThere is a paucity of literature assessing whether payer type has an impact on postoperative patient-reported outcomes (PROs) after total knee arthroplasty (TKA). The aim of this study was to comparatively evaluate TKA PROs among patients with commercial and Medicare insurance.MethodsWe conducted a single-center, retrospective review of patients operated between January 2017 and March 2018. Knee Disability and Osteoarthritis Outcome Score Junior (KOOS-Jr) and Veterans RAND 12 Health Survey (VR-12) Physical Component (VR-12 PCS) and Mental Component (VR-12 MCS) PRO scores were collected prospectively at baseline and 12 weeks postoperatively via an electronic patient rehabilitation application. Univariable and multivariable linear regressions were utilized to assess the effects of patient insurance type on PRO.ResultsIn total, 193 TKA candidates had commercial (n = 91) or Medicare (n = 102) as their primary payer type. Demographic variables including age, gender, body mass index, and race varied significantly between the cohorts (P < .05). Length of stay and discharge disposition also varied significantly (P < .05). When compared with commercial payers, Medicare beneficiaries demonstrated a 4.13 ± 2.06 increase in Knee Disability and Osteoarthritis Outcome Score JR. scores at baseline (P < .05). However, after adjusting for patient-specific demographic and perioperative variables, all PROs recorded in this study were similar between the 2 payer groups at baseline and 12 weeks postoperatively (P > .05). Furthermore, ?PRO scores from baseline to 12 weeks were also similar (P > .05).ConclusionsAfter adjusting for patient-specific variables, PROs are similar at baseline and 12 weeks postoperatively between commercial and Medicare cohorts. For TKA candidates with similar baseline demographics, surgeons can expect similar perioperative PROs regardless of insurance type.
| S-EPMC6470348 | biostudies-literature
Project description:Pain is the main impetus for osteoarthritis (OA) patients to seek healthcare including joint replacement. The pain experience in OA is heterogeneous and affected by factors across multiple domains-peripheral, psychological, and neurological. This indicates the existence of homogenous subgroups/phenotypes within OA patients with pain. We recently identified three pain phenotypes using a wide spectrum of pain-related factors, including structural damage on magnetic resonance imaging (MRI), emotional problems, number of painful sites, sex, body mass index, education level and comorbidities (i.e., Class 1: high prevalence of emotional problems and low prevalence of structural damage (25%); Class 2: low prevalence of emotional problems and high prevalence of structural damage (20%); Class 3: low prevalence of emotional problems and low prevalence of structural damage (55%)). This study was to examine whether the total knee replacement (TKR) risk over 12 years was different among these three pain phenotypes. Data on 963 participants (mean age 62.8 ± 7.4 years) from a population-based cohort study were utilised. Data on socio-demographic, psychological and comorbidities were collected. MRI of the right knee structural pathology was performed. TKR history was ascertained by linking to the Australian Orthopedic Association National Joint Replacement Registry. Latent class analysis and the Cox proportional hazards model were applied for the analysis. During the follow-up period, 41 right and 44 left TKRs in 67 participants were identified. In multivariable analyses, participants in Class 1 and 2 had a higher risk of having a TKR (Class 1 vs. Class 3, HR (hazard ratio) 4.81, 95%CI (confidence interval) 2.33-9.93; Class 2 vs. Class 3, HR 9.23, 95%CI 4.66-18.30). These associations were stronger in the imaged right knee but were also significant in the left knee. Participants within distinct pain phenotypes have different risks of TKR, suggesting that the identified phenotypes reflect distinct clinical subgroups with different prognoses. The risk for TKR was higher in Class 1 than that in Class 3, suggesting that pain/emotional status is a stronger driver for TKR than structural damage, and that selecting patients for TKR needs to be optimized in clinical practice.
| S-EPMC7141124 | biostudies-literature
Project description:This study aimed at identifying preoperative predictors of patient-reported outcomes after total knee arthroplasty (TKA) and at investigating their association with the outcomes over time.We used data from 2080 patients from the Knee Arthroplasty Trial who received primary TKA in the United Kingdom between July 1999 and January 2003. The primary outcome measure was the Oxford knee score (OKS) collected annually over 10 years after TKA. Preoperative predictors included a range of patient characteristics and clinical conditions. Mixed-effects linear regression model analysis of repeated measurements was used to identify predictors of overall OKS, and pain and function subscale scores over 10 years, separately.Worse preoperative OKS, worse mental well-being, body mass index greater than 35 kg/m2, living in the most deprived areas, higher American Society of Anesthesiologists grade, presence of comorbidities, and history of previous knee surgery were associated with worse overall OKS over 10 years after surgery. The same predictors were identified for pain and function subscale scores, and for both long-term (10 years) and short-to-medium-term outcomes (1 and 5 years). However, fitted models explained more variations in function and shorter-term outcomes than in pain and longer-term outcomes, respectively.The same predictors were identified for pain and functional outcomes over both short-to-medium term and long term after TKA. Within the factors identified, functional and shorter-term outcomes were more predictable than pain and longer-term outcomes, respectively. Regardless of their preoperative characteristics, on average, patients achieved substantial improvement in pain over time, although improvement for function was less prominent.
| S-EPMC5178876 | biostudies-other
Project description:IntroductionPersistent pain after total knee replacement is an underestimated outcome leading to significant health burden. Sensory testing has been explored to help surgeons in decision making and better patient selection. Patients with different chronic pain syndromes exhibit a poor descending pain inhibition that can be quantified through experimental paradigms (conditioned pain modulation). A poor preoperative descending pain inhibition response predicted persistence of pain after surgery in previous studies.MethodsThis study investigated the correlation between a preoperative inefficient endogenous analgesia and a bad postoperative pain outcome (painful prosthesis). One hundred forty-six patients were studied preoperatively by quantitative sensory testing. Conditioned pain modulation was calculated as the relative decrease in pain intensity (thermal stimulus) during heterotopic painful stimulation.ResultsApproximately 21.2% of patients had a bad pain outcome (painful prosthesis), 6 months after surgery. Preoperatively, 47.9% of patients exhibited an insufficient endogenous analgesia. The probability to develop persistent pain after surgery in that group was higher than that in patients with a sufficient endogenous analgesia (31.4% [20.9-43.6, 95% CI] vs 11.8% [5.5-21.3, 95% CI], respectively; P < 0.004). Correlation between conditioned pain modulation values and postoperative intensity of pain was also established. Besides, a preoperative lower quality of life (mental component) predicted a worse pain outcome, too.ConclusionsThis cohort study shows that preoperative sensory testing predicts a bad pain outcome after total knee replacement. This tool could help clinicians in a better indication of patients with advanced knee osteoarthritis for replacement surgery.Registration detailsClinicalTrials.gov: NCT01811888 (prospective).
| S-EPMC8009638 | biostudies-literature
Project description:ObjectiveTo identify postoperative patient-related risk factors for chronic pain after total knee replacement (TKR).DesignThe systematic review protocol was registered on the International Prospective Register of Systematic Reviews (CRD42016041374). MEDLINE, Embase and PsycINFO were searched from inception to October 2016 with no language restrictions. Key articles were also tracked in the Institute for Scientific Information (ISI) Web of Science. Cohort studies evaluating the association between patient-related factors in the first 3?months postoperatively and pain at 6?months or longer after primary TKR surgery were included. Screening, data extraction and assessment of methodological quality were undertaken by two reviewers. The primary outcome was pain severity in the replaced knee measured with a patient-reported outcome measure at 6?months or longer after TKR. Secondary outcomes included adverse events and other aspects of pain recommended by the core outcome set for chronic pain after TKR.ResultsAfter removal of duplicates, 16?430 articles were screened, of which 805 were considered potentially relevant. After detailed evaluation of full-text articles, 14 studies with data from 1168 participants were included. Postoperative patient-related factors included acute pain (eight studies), function (five studies) and psychosocial factors (four studies). The included studies had diverse methods for assessment of potential risk factors and outcomes, and therefore narrative synthesis was conducted. For all postoperative factors, there was insufficient evidence to draw firm conclusions about the association with chronic pain after TKR. Selection bias was a potential risk for all studies, as none were reported to be conducted at multiple centres.ConclusionThis systematic review found insufficient evidence to draw firm conclusions about the association between any postoperative patient-related factors and chronic pain after TKR. Further high-quality research is required to provide a robust evidence base on postoperative risk factors, and inform the development and evaluation of targeted interventions to optimise patients' outcomes after TKR.
| S-EPMC5695416 | biostudies-literature