Trends in prevalence and complications for smokers who underwent total hip arthroplasty from 2011 to 2019: an analysis of 243,163 patients.

BACKGROUND: Smoking is an established risk factor for postoperative complications after total hip arthroplasty (THA). It is unknown if the decreasing prevalence of adult smoking in the United States is reflected in the elective THA patient population. We aimed to investigate recent trends in: (1) the prevalence of smoking pre-THA, stratified by patient demographics; and (2) rates of 30-day complications and increased healthcare utilisation post-THA in smokers versus non-smokers. METHODS: Patients who underwent primary elective THA (2011-2019) were identified using the National Surgical Quality Improvement Program database. A total of 243,163 cases (Smokers: n = 30,536; Non-smokers: n = 212,627) were included. Trends analyses were performed for smoking prevalence across the study period. Smokers were propensity score-matched (1:1) to a cohort of non-smokers (n = 29,628, each), and rates of 30-day complications, readmission, and non-home discharge were compared. RESULTS: The rate of preoperative smoking significantly decreased from 14.0% in 2011 to 11.6% in 2019 (p-trend = 0.0286). When stratified, a significant decreasing trend in smoking was found for males and all races; within races, American-Indian/Alaska-Native race had the sharpest decline (2011:36.3% vs. 2019:23.2%). No significant change in 30-day complication rates among smokers or non-smokers was observed (p-trend > 0.05), but non-home discharge significantly decreased for both smokers (p-trend = 0.001) and non-smokers (p-trend < 0.001). After matching, higher rates of superficial surgical site infections (SSI) (0.9% vs. 0.5%; p < 0.001), deep SSI (0.5% vs. 0.3%; p < 0.001), wound disruption (0.2% vs. 0.1%; p = 0.006), and readmission (4.2% vs. 3.1%; p = <0.001) were found in smokers versus non-smokers. CONCLUSIONS: The present study is encouraging that national efforts to reduce the prevalence of smoking may be successful within the THA population, but there is a persistently elevated risk of postoperative complications in smokers after THA.

What Are the Diagnosis-Specific Thresholds of Minimal Clinically Important Difference and Patient Acceptable Symptom State in Hip Disability and Osteoarthritis Outcome Score After Primary Total Hip Arthroplasty?

BACKGROUND: This study aimed to determine the minimal clinically important difference (MCID) and Patient Acceptable Symptom State (PASS) thresholds for Hip Disability and Osteoarthritis Outcome Score (HOOS) pain, physical short form (PS), and joint replacement (JR) 1 year after primary total hip arthroplasty stratified by preoperative diagnosis of osteoarthritis (OA) versus non-OA. METHODS: A prospective institutional cohort of 5,887 patients who underwent primary total hip arthroplasty (January 2016 to December 2018) was included. There were 4,184 patients (77.0%) who completed a one-year follow-up. Demographics, comorbidities, and baseline and one-year HOOS pain, PS, and JR scores were recorded. Patients were stratified by preoperative diagnosis: OA or non-OA. Minimal detectable change (MDC) and MCIDs were estimated using a distribution-based approach. The PASS values were estimated using an anchor-based approach, which corresponded to a response to a satisfaction question at one year post surgery. RESULTS: The MCID thresholds were slightly higher in the non-OA cohort versus OA patients. (HOOS-Pain: OA: 8.35 versus non-OA: 8.85 points; HOOS-PS: OA: 9.47 versus non-OA: 9.90 points; and HOOS-JR: OA: 7.76 versus non-OA: 8.46 points). Similarly, all MDC thresholds were consistently higher in the non-OA cohort compared to OA patients. The OA cohort exhibited similar or higher PASS thresholds compared to the non-OA cohort for HOOS-Pain (OA: ≥80.6 versus non-OA: ≥77.5 points), HOOS-PS (OA: ≥83.6 versus non-OA: ≥83.6 points), and HOOS-JR (OA: ≥76.8 versus non-OA: ≥73.5 points). A similar percentage of patients achieved MCID and PASS thresholds regardless of preoperative diagnosis. CONCLUSIONS: While MCID and MDC thresholds for all HOOS subdomains were slightly higher among non-OA than OA patients, PASS thresholds for HOOS pain and JR were slightly higher in the OA group. The absolute magnitude of the difference in these thresholds may not be sufficient to cause major clinical differences. However, these subtle differences may have a significant impact when used as indicators of operative success in a population setting.

Diagnosis-Specific Thresholds of the Minimal Clinically Important Difference and Patient Acceptable Symptom State for KOOS After Total Knee Arthroplasty.

UPDATE: This article was updated on May 1, 2024 because of a previous error, which was discovered after the preliminary version of the article was posted online. The byline that had read "Ahmed K. Emara, MD 1 *, Ignacio Pasqualini, MD 1 *, Alison K. Klika, MS 1 , Melissa N. Orr, BS 1 , Pedro J. Rullán, MD 1 , Nicolas S. Piuzzi, MD 1 , and the Cleveland Clinic Arthroplasty Group†" now reads "Ahmed K. Emara, MD 1 *, Ignacio Pasqualini, MD 1 *, Yuxuan Jin, MS 1 , Alison K. Klika, MS 1 , Melissa N. Orr, BS 1 , Pedro J. Rullán, MD 1 , Nicolas S. Piuzzi, MD 1 , and the Cleveland Clinic Arthroplasty Group†". BACKGROUND: Literature-reported minimal clinically important difference (MCID) and patient acceptable symptom state (PASS) thresholds for patient-reported outcome measures demonstrate marked variability. The purpose of this study was to determine the minimal detectable change (MDC), MCID, and PASS thresholds for the Knee injury and Osteoarthritis Outcome Score (KOOS) Pain subdomain, Physical Function Short Form (PS), and Joint Replacement (JR) among patients with osteoarthritis (OA) who underwent primary total knee arthroplasty (TKA). METHODS: A prospective cohort of 6,778 patients who underwent primary TKA was analyzed. Overall, 1-year follow-up was completed by 5,316 patients for the KOOS Pain, 5,018 patients for the KOOS PS, and 4,033 patients for the KOOS JR. A total of 5,186 patients had an OA diagnosis; this group had an average age of 67.0 years and was 59.9% female and 80.4% White. Diagnosis-specific MDCs and MCIDs were estimated with use of a distribution-based approach. PASS values were estimated with use of an anchor-based approach, which corresponded to a response to a satisfaction question at 1 year postoperatively. RESULTS: The MCID thresholds for the OA group were 7.9 for the KOOS Pain, 8.0 for the KOOS PS, and 6.7 for the KOOS JR. A high percentage of patients achieved the MCID threshold for each outcome measure (KOOS Pain, 95%; KOOS PS, 88%; and KOOS JR, 94%). The MDC 80% to 95% confidence intervals ranged from 9.1 to 14.0 for the KOOS Pain, 9.2 to 14.1 for the KOOS PS, and 7.7 to 11.8 for the KOOS JR. The PASS thresholds for the OA group were 77.7 for the KOOS Pain (achieved by 73% of patients), 70.3 for the KOOS PS (achieved by 68% of patients), and 70.7 for the KOOS JR (achieved by 70% of patients). CONCLUSIONS: The present study provided useful MCID, MDC, and PASS thresholds for the KOOS Pain, PS, and JR for patients with OA. The diagnosis-specific metrics established herein can serve as benchmarks for clinically meaningful postoperative improvement. Future research and quality assessments should utilize these OA-specific thresholds when evaluating outcomes following TKA. Doing so will enable more accurate determinations of operative success and improvements in patient-centered care. LEVEL OF EVIDENCE: Prognostic Level II . See Instructions for Authors for a complete description of levels of evidence.

Demographic and Socioeconomic Determinants Are Associated with Poor Preoperative Patient-Reported Pain and Function in Primary TKA: A Cohort Study of 14,079 Patients.

BACKGROUND: Pain and function, as reflected by patient-reported outcome measures (PROMs), can influence improvement after total knee arthroplasty (TKA) and can reflect the extent of patient access to orthopaedic surgical care. We aimed to (1) categorize patients according to pain and function PROM phenotypes, (2) identify patient characteristics associated with poor preoperative pain and function, and (3) assess relationships between baseline characteristics and PROM phenotypes. METHODS: A prospective cohort of 14,079 TKAs was enrolled. Demographics, comorbidities, surgical details, and preoperative PROMs were collected. Outcomes included preoperative Knee injury and Osteoarthritis Outcome Score (KOOS) Pain (P) and Physical Function (PS) subscores, stratified by demographics. Patients were then categorized into 4 PROM phenotypes defined on the basis of the cohort medians: above or equal to the median for both pain and function scores (P+PS+), below the median for both pain and function (P-PS-), above or equal to the median for pain but below the median for function (P+PS-), and below the median for pain but above or equal to the median for function (P-PS+). Descriptive statistics and multivariable regression analyses were calculated. RESULTS: The largest PROM phenotype was P-PS- (39.4%), followed by P+PS+ (38.9%). The cohort with discordantly poor function but high pain scores (less pain) was the smallest cohort (9.9%). Preoperative KOOS-Pain and KOOS-PS scores at or below the 25th percentile were independently associated with younger age, female sex, higher body mass index (BMI), non-White race, current smoking, lower education, non-commercial insurance, and higher Charlson Comorbidity Index (CCI). Multivariate logistic regression showed that patients in the P+PS+ category were older (odds ratio [OR] = 1.56), were more likely to be male (OR = 2.00), had a lower BMI (OR = 0.67), had more education (OR = 1.63), had a lower CCI, and were less likely to be Black (OR = 0.80) or Other (OR = 0.62) race, be a current smoker (OR = 0.62), and have commercial insurance (OR = 0.74), compared with the P-PS- phenotype. CONCLUSIONS: Younger age, obesity, non-White race, female sex, current or recent smoking, non-commercial insurance, and higher CCI were associated with worse pre-TKA PROMs and poor pain-function phenotype combinations. Such a pattern may indicate barriers to TKA access among these patient populations leading to advanced levels of impairment at the time of treatment. LEVEL OF EVIDENCE: Prognostic Level III . See Instructions for Authors for a complete description of levels of evidence.

Preoperative Veteran RAND-12 Mental Composite Score of >60 Associated With Increased Likelihood of Patient Satisfaction After Total Hip Arthroplasty.

BACKGROUND: The present study aimed to determine the distribution of Veterans RAND 12-Item health survey (VR-12) mental component scores (MCS) of patients undergoing primary total hip arthroplasty (THA) and the thresholds of VR-12 MCS scores that predict higher health care utilizations and 1-year patient-reported outcome measures (PROMs). METHODS: A prospective cohort of 4,194 primary THA patients (January 2016 to December 2019) were included. Multivariable and cubic spline regression models were used to test for associations between preoperative VR-12 MCS and postoperative outcomes, including: 90-day hospital resource utilization (nonhome discharge, prolonged length of stay [LOS](ie, ≥3 days), all-cause readmission), attainment of patient acceptable symptom state (PASS) at 1-year postoperative and substantial clinical benefit (SCB) in the hip disability osteoarthritis outcome score (HOOS)-pain and HOOS-physical short form. RESULTS: Lower VR-12 MCS was associated with older age, obesity, Black race, women, and smokers (all P < .001). Preoperative VR-12 MCS<20 was associated with more than twice the odds of nonhome discharge (odds ratio [OR]:2.31) and prolonged LOS (OR: 3.46). VR-12 MCS >60 was associated with higher odds of achieving PASS (OR: 2.00) and SCB in HOOS-joint related (JR) (OR: 1.16). Starting VR-12 MCS ≤40, there were exponentially higher odds of worse outcomes. CONCLUSION: Low preoperative VR-12 MCS, specifically less than 40, may predict increased health care utilization. Furthermore, preoperative VR-12 MCS>60 predicts greater satisfaction at 1 year and higher odds of achieving SCB in HOOS-JR. Quantifiable thresholds for VR-12 MCS may aid in shared decision-making and patient counseling in setting expectations or may guide specific care pathway interventions to address mental health during THA. LEVEL OF EVIDENCE: II.

Trends in the Prevalence and Postoperative Surgical Complications for Smokers Who Underwent a Total Knee Arthroplasty from 2011 to 2019: An Analysis of 406,553 Patients.

Smoking is a modifiable risk factor for complications following total knee arthroplasty (TKA). It is unclear if the declining prevalence of tobacco use in the U.S. population is reflected in patients undergoing elective TKA. This study aims to investigate (1) the incidence of 30-day complications following TKA in smokers and (2) trends in preoperative smoking status among TKA patients. In this study, patients undergoing primary elective TKA in the United States from 2011 to 2019 were identified in the American College of Surgeons' National Surgical Quality Improvement Program (ACS-NSQIP) database. Our cohort included 406,553 cases, 8.13% of which had smoked cigarettes within 1 year of undergoing TKA. Smokers were propensity score-matched to a group of nonsmokers, with each n = 32,533. The incidences of 30-day complications, readmission, and non-home discharge were compared between groups. The rate of preoperative smoking among elective primary TKA patients remained stagnant from 2011 to 2019. Smokers had higher rates of superficial surgical site infections (SSIs; 1.1 vs. 0.5%, p < 0.001), deep SSI (0.3 vs. 0.2%, p = 0.012), wound disruption (0.4 vs. 0.2%, p < 0.001), pneumonia (0.5 vs. 0.3%, p < 0.001), and 30-day readmission (3.6 vs. 2.7%, p < 0.001) compared with nonsmokers. No significant trends in 30-day complications were noted between 2011 and 2019. This study supports the success of national efforts to reduce the prevalence of smoking and reports a modest effect within the TKA population. However, almost 1 in 10 patients undergoing elective TKA continues to smoke and maintains a higher risk of postoperative complications.

When Do We Perform Elective Total Knee Arthroplasty? General and Demographic-Specific Trends of Preoperative Pain and Function among 10,327 Patients.

Total knee arthroplasty (TKA) is the sole disease-modifying intervention for end-stage osteoarthritis. However, the temporal trends and stratification of age and patient demographics of pain and function levels at which surgeons perform TKA have not been characterized. The present investigation aimed to analyze the temporal trends of preoperative pain and functional patient-reported outcomes measures (PROMs) over the past 5 years when stratifying patient demographics. A prospective cohort of all patients who underwent primary elective TKA between January 2016 and December 2020 at a North American integrated tertiary health care system was retrospectively reviewed. The primary outcome was quarterly baseline (preoperative) pain and function PROM values before primary elective TKA. Evaluated PROMs included Knee Osteoarthritis Outcome Score (KOOS)-pain and KOOS-physical function shortform (PS) for the 5-year study period and were stratified by patient demographics (age, sex, race, and body mass index [BMI]). A total of 10,327 patients were analyzed. Preoperative pain levels remained unchanged over the study period for patients in the 45- to 64-year category (P-trend = 0.922). Conversely, there was a significant improvement in preoperative pain levels in the 65+ years group. Sex-stratified trends between males and females did not demonstrate a significant change in pre-TKA baseline pain over the study period (P-trend = 0.347 and P-trend = 0.0744). Both white and black patients demonstrated consistent KOOS-pain levels throughout the study period (P-trend = 0.0855 and P-trend = 0.626). Only white patients demonstrated improving preoperative KOOS-PS (P-trend = 0.0001), while black and "other" patients demonstrated consistent lower preoperative functional levels throughout the study period (P-trend = 0.456 and P-trend = 0.871). All BMI categories demonstrated relatively consistent preoperative KOOS-pain and KOOS-PS except for overweight and obese patients who demonstrated progressive improvement in preoperative KOOS-PS over the study period. Patients and surgeons are electing to perform primary TKA at higher levels of preoperative function. Stratification by race showed black patients did not experience a similar trend of improving function and exhibited a consistently lower functional level versus white patients. This disparity is likely to be multifactorial but may indicate underlying barriers to TKA access.

Can extant comorbidity indices identify patients who experience poor outcomes following total joint arthroplasty?

INTRODUCTION: It is uncertain if generic comorbidity indices commonly used in orthopedics accurately predict outcomes after total hip (THA) or knee arthroplasty (TKA). The purpose of this study was to determine the predictive ability of such comorbidity indices for: (1) 30-day mortality; (2) 30-day rate of major and minor complications; (3) discharge disposition; and (4) extended length of stay (LOS). METHODS: The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database was retrospectively reviewed for all patients who underwent elective THA (n = 202,488) or TKA (n = 230,823) from 2011 to 2019. The American Society of Anesthesiologists (ASA) physical status classification system score, modified Charlson Comorbidity Index (mCCI), Elixhauser Comorbidity Measure (ECM), and 5-Factor Modified Frailty Index (mFI-5) were calculated for each patient. Logistic regression models predicting 30-day mortality, discharge disposition, LOS greater than 1 day, and 30-day major and minor complications were fit for each index. RESULTS: The ASA classification (C-statistic = 0.773 for THA and TKA) and mCCI (THA: c-statistic = 0.781; TKA: C-statistic = 0.771) were good models for predicting 30-day mortality. However, ASA and mCCI were not predictive of major and minor complications, discharge disposition, or LOS. The ECM and mFI-5 did not reliably predict any outcomes of interest. CONCLUSION: ASA and mCCI are good models for predicting 30-day mortality after THA and TKA. However, similar to ECM and mFI-5, these generic comorbidity risk-assessment tools do not adequately predict 30-day postoperative outcomes or in-hospital metrics. This highlights the need for an updated, data-driven approach for standardized comorbidity reporting and risk assessment in arthroplasty.

Factors Affecting 30-Day Mortality following Primary Elective Total Knee Arthroplasty: A Database Study of 326,157 Patients.

Despite its rarity, the risk of mortality following primary elective total knee arthroplasty (TKA) is a critical component of surgical decision-making and patient counseling. The purpose of our study was to (1) determine the overall 30-day mortality rate for unilateral primary elective TKA patients, (2) determine the 30-day mortality rates when stratified by age, comorbidities, and preoperative diagnosis, and (3) identify the distribution of (i) patient demographics, (ii) baseline comorbidities, and (iii) preoperative diagnoses between mortality and mortality-free cohorts. A total of 326,157 patients underwent primary elective TKA (2011-2018) were identified through retrospective review of the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database. Patients were divided into 30-day mortality (n = 320) and mortality-free (n = 325,837) cohorts. Patient demographics, preoperative comorbidities, and preoperative diagnoses were compared. Age group, American Society of Anesthesiology (ASA) score, and modified Charlson Comorbidity Index (CCI) scores were normalized per 1000 and stratified by preoperative diagnosis. The overall mortality rate was 0.098%. Older age (p < 0.001) and male gender (p < 0.001) were associated with increased mortality. There was no association between mortality and race (p = 0.346) or body mass index (BMI) class (p = 0.722). All reported comorbidities except smoking status were significantly greater in the mortality cohort (p < 0.05). For ASA scores of I, II, III, and IV, the number of deaths per 1,000 were 0.16, 0.47, 1.4, and 4.4, respectively. For CCI scores of 0, 1, 2, 3, 4, and 6, mortality rates per 1,000 were 0.76, 2.1, 7.0, 11, 29, and 7.6, respectively. Mortality rates for a preoperative diagnosis of osteoarthritis (OA) versus non-OA were, respectively, 0.096% and 0.19% (p < 0.001). Increased age, male gender, increased comorbidity burden, and non-OA preoperative diagnoses are associated with higher rates of 30-day postoperative mortality. There were no significant associations between BMI or race and 30-day mortality. These findings aid in identifying of higher-risk patients, who can then receive appropriate counseling or preoperative interventions to reduce the risk of perioperative mortality.

Understanding the 30-day mortality burden after revision total hip arthroplasty.

BACKGROUND: Revision total hip arthroplasty (THA) is a challenging procedure that burdens the healthcare system. Despite being associated with worse outcomes relative to its primary counterpart, postoperative mortality after revision THA remains ill-defined. The present study aimed to (1) establish the overall 30-day mortality rate after revision THA and (2) explore the mortality rate stratified by age, comorbidity burden, and aseptic versus septic failure. METHODS: The American College of Surgeons - National Surgical Quality Improvement Program (ACS-NSQIP) database was retrospectively reviewed for all patients who underwent revision THA from 2011 to 2019. A total of 23,501 patients were identified and grouped into mortality (n = 161) and mortality-free (n = 23,340) cohorts. Patient demographics, comorbidities, and aseptic/septic failure were evaluated. RESULTS: The overall 30-day mortality was 0.69%. The mortality rate by age group (normalised per 1000 patients) was 0 (18-39 years [Y]), 0.67 (40-49 Y), 1.10 (50-59 Y), 2.58 (60-69 Y), 6.15 (70-79 Y) 19.32 (80-89 Y), and 58.22 (90+Y) (p < 0.001). The mortality rate by ASA classification (normalised per 1000 patients) was 0 (ASA I), 1.47 (ASA II), 6.94 (ASA III), 45.42 (ASA IV), and 200 (ASA V) (p < 0.001). The 30-day mortality rate for the septic and aseptic cohorts was 1.03% and 0.65%, respectively (p = 0.038). CCI scores (p < 0.001), diabetes (p < 0.001), systematic sepsis (p < 0.001), poor functional status (p < 0.001), BMI < 24.9 kg/m2 (p < 0.001), and dirty/infected wounds (p < 0.001) were all associated with increased mortality risk. CONCLUSIONS: 1 in 145 patients will suffer mortality during the 30 days after revision THA. PJI-related revision THA was associated with 1.5-fold increase in 30-day mortality rate compared to its aseptic counterpart. Certain patient determinants and baseline comorbidities, as measured by ASA and CCI scores, were associated with higher 30-day mortality rates. Therefore, it is imperative to identify such risk factors and implement perioperative patient optimisation pathways to mitigate the risk among vulnerable patients.

Versatility of Tellurium in Heteroanionic Ln2O2Te (Ln = La, Ce, Pr) and Tellurate Ln2TeO6 (Ln = La, Pr).

Heteroanionic compounds continue to gain interest in materials design because the expanded composition space provides opportunities to discover new phases and tune physical properties. Among heteroanionic materials, oxytellurides comprised of oxygen and tellurium anions are relatively underexplored despite the significant role of tellurium in emerging technologies. Herein, we present synthetic strategies toward oxytelluride Ln2O2Te (Ln = La-Pr), whose layered structure features square nets of Te2- anions. Upon heating in H2 or air, we find a reversible phase transition between the oxytelluride and tellurate Ln2TeO6 (Ln = La, Pr), wherein Te is octahedrally coordinated and a 6+ oxidation state is corroborated by bond valence analysis. We use X-ray diffraction along with thermogravimetric analyses to confirm the presence of oxytelluride and tellurate phases and emphasize key structural distinctions. In contrast, we find that Ce2O2Te decomposes to form CeO2 and demonstrate the instability of Ce2O2Te in ambient conditions by timelapse X-ray diffraction and diffuse-reflectance spectroscopy experiments. Band gaps of Ln2O2Te (Ln = La-Pr) were estimated from diffuse-reflectance spectroscopy in the semiconducting range ∼2.1-2.7 eV, while band gaps for La2TeO6 and Pr2TeO6 were much larger at ∼4.3 and ∼3.7 eV, respectively.

Structural Diversity of Rare-Earth Oxychalcogenides.

Mixed-anion systems have garnered much attention in the past decade with attractive properties for diverse applications such as energy conversion, electronics, and catalysis. The discovery of new materials through mixed-cation and single-anion systems proved highly successful in the previous century, but solid-state chemists are now embracing an exciting design opportunity by incorporating multiple anions in compounds such as oxychalcogenides. Materials containing rare-earth ions are arguably a cornerstone of modern technology, and herein, we review recent advances in rare-earth oxychalcogenides. We discuss ternary rare-earth oxychalcogenides whose layered structures illustrate the characters and bonding preferences of oxide and chalcogenide anions. We then review quaternary compounds which combine anionic and cationic design strategies toward materials discovery and describe their structural diversity. Finally, we emphasize the progression from layered two-dimensional compounds to three-dimensional networks and the unique synthetic approaches which enable this advancement.

Dissatisfaction After Total Hip Arthroplasty Associated With Preoperative Patient-Reported Outcome Phenotypes.

BACKGROUND: Patient satisfaction is indicative of the quality of care in the value-driven healthcare model. The Patient Acceptable Symptom State (PASS) is a dichotomous outcome tool measuring the highest level of symptom beyond which a patient considers him/herself well. The purpose of the present study was to identify combined preoperative phenotypes of PROMs associated with not achieving PASS at 1 year following total hip arthroplasty (THA) and to associate such phenotypes with hospital utilization parameters. METHODS: A prospective institutional cohort of 4,034 patients who underwent primary THA for osteoarthritis (OA) with 1-year follow-up was included. Preoperative scores on Hip Disability and Osteoarthritis Outcome Score (HOOS)-pain, HOOS physical short form-(PS), and Veteran's Rand-12 (VR-12) mental component summary-(MCS) were used to develop phenotypes. Associations between preoperative 'phenotype' and 1-year PASS, discharge disposition, prolonged length of stay, 90-day readmission, and 1-year reoperation were evaluated using multivariate regression. RESULTS: 10.6% (427/4,043) reported their state as 'not satisfactory' at 1 year. The phenotypes were the only preoperative factors to demonstrate the increased likelihood of 1-year dissatisfaction. Only phenotypes with lower than average preoperative MCS demonstrated this association. Low scores in all presently measured PROMs (Pain-PS-MCS-) was associated with double the odds of 1-year dissatisfaction (P < .001), 2.43 times the odds of nonhome discharge and 2.2 times the odds of prolonged LOS. CONCLUSIONS: Patients with lower preoperative scores across multiple PROMs have increased odds of dissatisfaction after THA; and assessing pain, function, and MCS concomitantly (as phenotypes) may support identifying patients at risk for not achieving a satisfactory outcome.

Combinations of Preoperative Patient-Reported Outcome Measure Phenotype (Pain, Function, and Mental Health) Predict Outcome After Total Knee Arthroplasty.

BACKGROUND: Value-driven healthcare models prioritize patient-perceived benefits to quantify the quality of care through patient-reported outcome measures (PROMs). The Patient Acceptable Symptom State (PASS) is the highest level of symptom beyond which a patient considers his/her condition satisfactory. We identified preoperative phenotypes of PROMs associated with not achieving PASS at 1 year following total knee arthroplasty (TKA) and explored the relationships between such phenotypes with hospital utilization parameters. METHODS: A prospective institutional cohort of 5,274 primary TKAs for osteoarthritis from 2016 to 2019 with 1-year follow-up were included. Preoperative scores on Knee Disability and Osteoarthritis Outcome Score (KOOS) Pain, KOOS-Physical function Short form (PS), and Veterans RAND 12-Item Health Survey (VR-12) Mental Component Summary (MCS) were used to develop patient phenotypes. Associations between preoperative "phenotype" and 1-year PASS, discharge disposition, length of stay, 90-day readmission, and 1-year reoperation were evaluated using multivariate regression. RESULTS: In total, 16.3% (n = 862) of patients reported their state as "not acceptable" at 1 year. A combination of low scores in each of the presently examined PROMs was associated with the highest odds of 1-year dissatisfaction (odds ratio 2.18, 95% confidence interval 1.74-2.74). The PROM phenotypes were the greatest drivers compared to sociodemographic variables in predicting satisfaction. Combinations of low scores in VR-12 MCS and KOOS-PS were significantly associated with both non-home discharge status and prolonged length of stay. CONCLUSION: Patients with combined lower preoperative scores across multiple PROMs (KOOS-Pain <41.7, KOOS-PS <51.5, and VR-12 MCS <52.8) have increased odds of dissatisfaction after TKA. Measuring pain, function, and mental health concurrently as phenotypes may help identify TKA patients at risk for not achieving a satisfactory outcome at 1 year.

Neighborhood Socioeconomic Disadvantages Associated With Prolonged Lengths of Stay, Nonhome Discharges, and 90-Day Readmissions After Total Knee Arthroplasty.

BACKGROUND: Low socioeconomic status and neighborhood context has been linked to poor health care outcomes after total knee arthroplasty (TKA). The area deprivation index (ADI) addresses this relationship by ranking neighborhoods by socioeconomic disadvantage. We examined the following relationships of the ADI among TKA recipients: (1) patient demographics, (2) lengths of stay (LOS), (3) nonhome discharges, and (4) 90-day readmissions, emergency department visits, and reoperations. METHODS: We reviewed a consecutive series of primary TKAs from 2018 through 2020 at a tertiary health care system. A total of 3928 patients who had complete ADI data were included. A plurality of patients (14.9%) were categorized within ADI 31-40, below the national median ADI of 47. Associations between the national ADI decile and 90-day postoperative health care utilization metrics were evaluated using multivariate regressions (adjusted for patient demographics and comorbidities). RESULTS: The 91-100 ADI cohort was disproportionately African American, female, younger, and smokers. Compared with ADI 31-40 (reference), the ADI 61-70 cohort was associated with higher odds of LOS ≥3 days (odds ratio [OR] = 1.6 [1.08-2.36], P = .019) and nonhome discharges (OR = 1.73 [1.08-2.75], P = .021). The ADI 91-100 cohort was associated with the highest odds of prolonged LOS (OR = 2.27; [1.47-3.49], P < .001), nonhome discharges (OR = 3.49 [2.11-5.78], P < .001), and all-cause readmissions (OR: 1.79, [1.02-3.14], P = .044). No significant associations were found between the ADI and 90-day emergency department visits or reoperations (P > .05). CONCLUSION: A higher ADI was associated with prolonged LOS, nonhome discharge status, and 90-day readmissions after TKA. This index highlights potential areas of intervention for assessing health care outcomes.

When is Surgery Performed? Trends, Demographic Associations, and Phenotypical Characterization of Baseline Patient-Reported Outcomes Before Total Hip Arthroplasty.

BACKGROUND: Evaluating trends and drivers of baseline patient-reported outcome measures (PROMs) is critical to understanding when patients and providers elect to undergo surgery. We aimed to assess the following: (1) 5-year trends in baseline PROMs pre-THA (total hip arthroplasty) stratified by patient determinants; (2) patient factor associated with poor preoperative hip pain/function; (3) phenotypes of combined pain/function PROMs at baseline; and (4) intersurgeon variability in PROM thresholds at surgery. METHODS: A prospective cohort of 6,902 primary THAs was enrolled (January 2016 to December 2020). Patient/surgeon details and PROMs were collected at point of care preoperatively. Outcomes included trends (5 years; 20 quarters) in Hip disability and Osteoarthritis Outcome Score (HOOS)-Pain and HOOS-PS (Physical Function Short-Form), stratified by patient demographics. Patients were further classified into phenotype categories of above or equal to median pain/function (P+PS+); below median pain/function (P-PS-); above or equal to median pain but below median function (P+PS-); and below median pain but above or equal to median function (P-PS+). RESULTS: Baseline HOOS-Pain was consistent across the study period (P-trend = .166), while HOOS-PS demonstrated increasing function (P-trend = .015). Such trends were appreciable in males, females, and White (P-trend < .001, each) but not Black patients (P-trend = .67). Higher odds ratio (OR) of low baseline HOOS-Pain and HOOS-PS were detected among females (HOOS-Pain: OR 1.75, 95% confidence interval [CI] 1.55-1.98, P < .001; HOOS-PS: OR 1.56, 95% CI 1.38-1.77, P < .001), Black patients (HOOS-Pain: OR 1.64, 95% CI 1.35-2.82, P < .001; HOOS-PS: OR 1.59, 95% CI 1.34-1.89, P < .001), and smokers (HOOS-Pain: OR 1.56, 95% CI 1.29-1.89, P < .001; HOOS-PS: OR 1.52, 95% CI 1.25-1.85, P < .001). The P-PS- cohort (32.4%) had lowest age (65.2 ± 11.1 years), highest body mass index (31.6 ± 6.9 kg/m2), females (64.8%), Black (15.8%), and current smokers (12.2%). There was significant intersurgeon preoperative PROM variation in HOOS-Pain and HOOS-PS (P < .001, each). CONCLUSION: In contrast to the general population, Black patients have consistently received THA at lower functional levels throughout the 5-year period. Females, smokers, and Black patients were more likely to have poorer pain and function at THA. PROMs assessment as combined pain-function phenotypes may provide a more comprehensive interpretation of patient status preoperatively.

Potential benefits, unintended consequences, and future roles of artificial intelligence in orthopaedic surgery research : a call to emphasize data quality and indications.

Artificial intelligence and machine-learning analytics have gained extensive popularity in recent years due to their clinically relevant applications. A wide range of proof-of-concept studies have demonstrated the ability of these analyses to personalize risk prediction, detect implant specifics from imaging, and monitor and assess patient movement and recovery. Though these applications are exciting and could potentially influence practice, it is imperative to understand when these analyses are indicated and where the data are derived from, prior to investing resources and confidence into the results and conclusions. In this article, we review the current benefits and potential limitations of machine-learning for the orthopaedic surgeon with a specific emphasis on data quality.

PLAN and AM-PAC "6-Clicks" Scores to Predict Discharge Disposition After Primary Total Hip and Knee Arthroplasty.

BACKGROUND: Determination of the appropriate post-discharge disposition after total hip (THA) and knee (TKA) arthroplasty is a challenging multidisciplinary decision. Algorithms used to guide this decision have been administered both preoperatively and postoperatively. The purpose of this study was to simultaneously evaluate the predictive ability of 2 such tools-the preoperatively administered Predicting Location after Arthroplasty Nomogram (PLAN) and the postoperatively administered Activity Measure for Post-Acute Care (AM-PAC) "6-Clicks" basic mobility tools-in accurately determining discharge disposition after elective THA and TKA. METHODS: The study included 11,672 patients who underwent THA (n = 4,923) or TKA (n = 6,749) at a single large hospital system from December 2016 through March 2020. PLAN and "6-Clicks" basic mobility scores were recorded for all patients. Regression models and receiver operator characteristic curves were constructed to evaluate the tools' prediction concordance with the actual discharge disposition (home compared with a facility). RESULTS: PLAN scores had a concordance index of 0.723 for the THA cohort and 0.738 for the TKA cohort. The first "6-Clicks" mobility score (recorded within the first 48 hours postoperatively) had a concordance index of 0.813 for the THA cohort and 0.790 for the TKA cohort. When PLAN and first "6-Clicks" mobility scores were used together, a concordance index of 0.836 was observed for the THA cohort and 0.836 for the TKA cohort. When the PLAN and "6-Clicks" agreed on home discharge, higher rates of discharge to home (98.0% for THA and 97.7% for TKA) and lower readmission rates (5.1% for THA and 7.0% for TKA) were observed, compared with when the tools disagreed. CONCLUSIONS: PLAN and "6-Clicks" basic mobility scores were good-to-excellent predictors of discharge disposition after primary total joint arthroplasty, suggesting that both preoperative and postoperative variables influence discharge disposition. We recommend that preoperative variables be collected and used to generate a tentative plan for discharge, and the final decision on discharge disposition be augmented by early postoperative evaluation. CLINICAL RELEVANCE: The determination of post-discharge needs after THA and TKA remains a complex clinical decision. This study shows how simultaneously exploring the predictive ability of preoperative and postoperative assessment tools on discharge disposition after total joint arthroplasty may be a useful aid in a value-driven health-care model.

Understanding the 30-day mortality burden after revision total knee arthroplasty.

BACKGROUND: In revision total knee arthroplasty (TKA), information regarding perioperative mortality risk is essential for careful decision-making. This study aimed to elucidate the (1) overall 30-day mortality rate and (2) 30-day mortality rate stratified by age, comorbidity, and septic vs aseptic failure after revision TKA. METHODS: The American College of Surgeons National Surgical Quality Improvement Program was reviewed for all patients undergoing revision TKA from 2011 to 2019. A total of 32,354 patients who underwent TKA were identified and categorized as mortality (n = 115) or mortality-free (n = 32,239). Patient characteristics were compared between cohorts and further stratified by septic and aseptic failure. RESULTS: The overall 30-day mortality rate was 0.36%. The percentage of deaths per age group (normalized per 1000) was 0% (18-29 years), 0% (30-39 years), 0.18% (40-49 years), 0.13% (50-59 years), 0.14% (60-69 years), 0.40% (70-79 years), 1.25% (80-89 years), and 6.93% (90+ years). The percentage of deaths per American Society of Anesthesiologists (ASA) class was 0.30% (ASA 1), 0.06% (ASA 2), 0.39% (ASA 3), 2.41% (ASA 4), and 14.29% (ASA 5). Septic revision (P < .001), general anesthesia (P < .001), body mass index ≤ 24.9 (P < .001), and insulin-dependent diabetes (P = .039) were associated with an increased risk of mortality. CONCLUSIONS: Increasing age, greater comorbidity burden, underweight or normal body mass index, insulin-dependent diabetes, septic revision, and general anesthesia were all associated with an increased risk of mortality after revision TKA. Notably, 1 in 80 patients aged 80-89 years died after revision TKA compared to 1 in 720 patients aged 60-69 years. Patients who underwent septic revision had a 4-fold increase in mortality compared to aseptic revision. Our stratified assessment of mortality provides a more individualized estimation of risk that can be used for patient counseling in revision TKA.

Comorbidity indices in orthopaedic surgery: a narrative review focused on hip and knee arthroplasty.

Comorbidity indices currently used to estimate negative postoperative outcomes in orthopaedic surgery were originally developed among non-orthopaedic patient populations.While current indices were initially intended to predict short-term mortality, they have since been used for other purposes as well.As the rate of hip and knee arthroplasty steadily rises, understanding the magnitude of the effect of comorbid disease on postoperative outcomes has become increasingly more important.Currently, the ASA classification is the most commonly used comorbidity measure and is systematically recorded by the majority of national arthroplasty registries.Consideration should be given to developing an updated, standardized approach for comorbidity assessment and reporting in orthopaedic surgery, especially within the setting of elective hip and knee arthroplasty. Cite this article: EFORT Open Rev 2021;6:629-640. DOI: 10.1302/2058-5241.6.200124.