Predicting Adverse Outcomes After Total Hip Arthroplasty: A Comparison of Demographics, the American Society of Anesthesiologists class, the Modified Charlson Comorbidity Index, and the Modified Frailty Index

How Has the Total Hip Arthroplasty Patient Population Changed? A Ten-Year Analysis of Total Hip Arthroplasty Patients From 2013 to 2022: A Retrospective, Single-Center Study

BACKGROUND

Over the past decades, utilization of total hip arthroplasty (THA) has steadily increased. Understanding the demographic trends of THA patients can assist in projecting access to care. This study sought to assess the temporal trends in THA patient baseline characteristics and socioeconomic factors.

METHODS

We retrospectively analyzed 16,296 patients who underwent primary elective THA from January 1, 2013, to December 31, 2022. Demographic data, including age, sex, race, body mass index (BMI), Charlson comorbidity index, insurance, and socioeconomic status, as determined by median income by patients' zip code, were collected. The trends of these data were analyzed using the Mann-Kendall test.

RESULTS

Over the past decade at our institution, patient age (2013: 62.1 years to 2022: 65.1 years, P = .001), BMI (2013: 29.0 to 2022: 29.5, P = .020), and mean Charlson comorbidity index (2013: 2.4 to 2022: 3.1, P = .001) increased. The proportion of Medicare patients increased from 48.4% in 2013 to 54.9% in 2022 (P = .001). The proportion of African American patients among the THA population increased from 11.3% in 2013 to 13.0% in 2022 (P = .012). Over this period, 90-day readmission and 1-year revision rates did not significantly change (2013: 4.8 and 3.0% to 2022: 3.4 and 1.4%, P = .107 and P = .136, respectively). The proportion of operations using robotic devices also significantly increased (2013: 0% to 2022: 19.1%; P < .001).

CONCLUSIONS

In the past decade, the average age, BMI, and comorbidity burden of THA patients have significantly increased, suggesting improved access to care for these populations. Similarly, there have been improvements in access to care for African American patients. Along with these changes in patient demographics, we found no change in 90-day readmission or 1-year revision rates. Continued characterization of the THA patient population is vital to understanding this demographic shift and educating future strategies and improvements in patient care.

Medicaid Patients Travel Disproportionately Farther for Revision Total Joint Arthroplasty

BACKGROUND

Access to high-quality care for revision total joint arthroplasty (rTJA) is poorly understood but may vary based on insurance type. This study investigated distance traveled for hip and knee rTJA based on insurance type.

METHODS

A total of 317 revision hips and 431 revision knees performed between 2010 and 2020 were retrospectively reviewed. Cluster sampling was used to select primary hips and knees for comparison. Median driving distance was compared based upon procedure and insurance type.

RESULTS

Revision hip and knee patients traveled 18.2 and 11.0 miles farther for surgery compared to primary hip and knee patients (P ≤ .001). For hip rTJA, Medicaid patients traveled farther than Medicare patients followed by commercially insured patients with median distances traveled of 98.4, 67.2, and 35.6 miles, respectively (P = .016). Primary hip patients traveled the same distance regardless of insurance type (P = .397). For knee rTJA, Medicaid patients traveled twice as far as Medicare and commercially insured patients (medians of 85.0, 43.5, and 42.2 miles respectively, P ≤ .046). Primary knee patients showed a similar pattern (P = .264). Age and ASA-PS classification did not indicate greater comorbidity in Medicaid patients.

CONCLUSION

Insurance type may influence rTJA referrals, with disproportionate referral of Medicaid and Medicare patients to nonlocal care centers. In addition to patient burden, these patterns potentially present a financial burden to facilities accepting referrals. Strategies to improve equitable access to rTJA, while maintaining the highest and most economical standards of care for patients, providers, and hospitals, are encouraged.

The 5-Item Modified Frailty Index for Risk Stratification of Patients Undergoing Total Elbow Arthroplasty

BACKGROUND

Frailty, quantified using the 5-item modified frailty index (mFI-5), has been shown to predict adverse outcomes in orthopaedic surgery. The utility in total elbow arthroplasty (TEA) patients is unclear. We evaluated if increasing frailty would correlate with worse postoperative outcomes.

METHODS

A retrospective assessment of patients in the American College of Surgeons National Surgery Quality Improvement Program undergoing primary TEA was performed. The mFI-5 was calculated by assigning 1 point for each comorbidity (diabetes, hypertension, congestive heart failure, chronic obstructive pulmonary disease, and functionally dependent health status). Poisson regression was used to evaluate mFI-5 scores on complications, length of stay (LOS), and adverse discharge. A significance threshold was at P < .05.

RESULTS

In total, 609 patients were included; 34.5% (n = 210) were not frail (mFI = 0), 44.0% (n = 268) were slightly frail (mFI = 1), and 21.5% (n = 131) were frail (mFI ≥ 2). As mFI score increased from 0 to ≥ 2, the following rates increased: any complication (9.0%-19.8%), major complication (11.0%-20.6%), cardiac complication (0.0%-2.3%), hematologic complication (3.3%-9.2%), adverse discharge (2.9%-22.9%), and LOS from 2.08 to 3.97 days (all P < .048). Following adjustment, Poisson regression demonstrated patients with a mFI ≥ 2 had increased risk of major complication (risk ratio [RR]: 2.13; P = .029), any complication (RR: 2.49; P = .032), Clavien-Dindo IV complication (RR: 5.53; P = .041), and adverse discharge (RR: 5.72; P < .001).

CONCLUSIONS

Frailty is not only associated with longer hospitalizations, but more major complications and non-home discharge. The mFI-5 is a useful risk stratification that may assist in decision-making for TEA.

Does Perioperative Use of Bisphosphonate Affect the Implant Revision Rate of Total Ankle Arthroplasty?

BACKGROUND

It is unknown whether perioperative bisphosphonate (BP) use reduces revision rates in total ankle replacement arthroplasty (TAR) although its effect has been demonstrated to be effective in reducing revision rates in total knee or hip replacement arthroplasty.

METHODS

We reviewed National Health Insurance Service data based on national health insurance service claims data and health care utilization, health screening, sociodemographic variables, medication history, operation codes, and mortality data for 50 million Koreans. From 2002 to 2014, 6391 of 7300 patients who underwent TAR were BP nonusers, whereas 909 patients were BP users. The revision rate according to BP medication and comorbidities was investigated. The Kaplan-Meier estimate and extended Cox proportional hazard model were also used.

RESULTS

The revision rate of TAR was 7.9% for BP users and 9.5% for BP nonusers, which showed no significant difference (P = .251). Implant survival over time decreased constantly. Adjusted hazard ratio for hypertension was 1.242 (P = .017), whereas other comorbidities such as diabetes had no effect on the revision rate of TAR.

CONCLUSION

We found that the perioperative BP use did not reduce the revision rate of TAR. Comorbidities (except hypertension) did not affect the revision rate of TAR. More research regarding various factors affecting the revision of TAR could be warranted.

LEVEL OF EVIDENCE

Level III, retrospective cohort study.

Opioid prescription trends after ambulatory anterior cervical discectomy and fusion

BACKGROUND CONTEXT

Opioid utilization has been well studied for inpatient anterior cervical discectomy and fusion (ACDF). However, the amount and type of opioids prescribed following ambulatory ACDF and the associated risk of persistent use are largely unknown.

PURPOSE

To characterize opioid prescription filling following single-level ambulatory ACDF compared with inpatient procedures.

STUDY DESIGN/SETTING

Retrospective cohort study.

PATIENT SAMPLE

Opioid-naive patients who underwent ambulatory (no overnight stay) or inpatient single-level ACDF from 2011 to 2019 were identified from a national insurance database.

OUTCOME MEASURES

Rate, amount, and type of perioperative opioid prescription.

METHODS

Opioid-naive patients who underwent ambulatory (no overnight stay) or inpatient single-level ACDF from 2011 to 2019 were identified from a national insurance database. Perioperative opioids were defined as opioid prescriptions 30 days before and 14 days after the procedure. Rate, amount, and type of opioid prescription were characterized. Multivariable analyses controlling for any differences in demographics and comorbidities between the two treatment groups were utilized to determine any association between surgical setting and persistent opioid use (defined as the patient still filling new opioid prescriptions >90 days postoperatively).

RESULTS

A total of 42,521 opioid-naive patients were identified, of which 2,850 were ambulatory and 39,671 were inpatient. Ambulatory ACDF was associated with slightly increased perioperative opioid prescription filling (52.7% vs 47.3% for inpatient procedures; p<.001). Among the 20,280 patients (47.7%) who filled perioperative opioid prescriptions, the average amount of opioids prescribed (in morphine milligram equivalents) was similar between ambulatory and inpatient procedures (550 vs 540, p=.413). There was no association between surgical setting and persistent opioid use in patients who filled a perioperative opioid prescription, even after controlling for comorbidities, (adjusted odds ratio, 1.15, p=.066).

CONCLUSIONS

Ambulatory ACDF patients who filled perioperative opioid prescriptions were prescribed a similar amount of opioids as those undergoing inpatient procedures. Further, ambulatory ACDF does not appear to be a risk factor for persistent opioid use. These findings are important for patient counseling as well as support the safety profile of this new surgical pathway.

Adverse Events After Total Hip Arthroplasty are not Sufficiently Characterized by 30-Day Follow-Up: A Database Study

BACKGROUND

Many previous studies of total hip arthroplasty (THA) have focused on adverse events occurring within 30 days of surgery. Studies examining 90-day postoperative adverse events have typically not focused on the timing of adverse events within that period. The current study evaluated the rate and timing of adverse events within 90 days of THA.

METHODS

Adult THA patients between 2010 and 2020 Q3 were identified from a large administrative dataset. Rates and timing of 90-day adverse events were determined. The median, interquartile range, and middle 80% were calculated based on the time of diagnosis for each adverse event. These were also dichotomized as occurring before or after 30 days and predictive factors for later adverse events were determined.

RESULTS

Overall, 81,158 adverse events were noted, of which 56,500 (69.0%) were diagnosed within 30 days of surgery and 25,355 (31.0%) were diagnosed 31-90 days after surgery. The proportion of adverse events occurring 31-90 days after surgery ranged from 6% (transfusion) to 45% (wound dehiscence). Patients experiencing a later adverse event were more likely to be women and to have higher Elixhauser Comorbidity Index (ECI) scores.

CONCLUSION

Almost one-third of adverse events following THA were diagnosed between postoperative days 31 and 90, highlighting the importance of looking beyond 30 days when estimating patients' risk of postoperative adverse events. These data may inform future research, patient counseling, and prevention strategies.

Same-Day Discharge Total Knee Arthroplasty in Octogenarians

BACKGROUND

One of the most important aspects of the transition to outpatient (OP) arthroplasty is patient selection, with guidance traditionally recommending that OP total knee arthroplasty (TKA) be reserved for patients <80 years old. However, there are limited data as to whether older age should really be considered a contraindication to OP-TKA. The purpose of this study is to assess the risk of complications and readmissions following OP-TKA in patients ≥80 years old.

METHODS

This is a retrospective, propensity-matched cohort study of the National Surgical Quality Improvement Program database from 2011 to 2019. Patients ≥80 years undergoing OP (same-day discharge) TKA were propensity matched to patients ≥80 years undergoing inpatient (IP) TKA based on age, gender, race, body mass index, American Society of Anesthesiologists classification, functional status, smoking status, anesthetic type, and medical comorbidities. There were 1,418 patients (709 IPs and 709 OPs) included. All baseline factors were successfully matched between IP-TKA versus OP-TKA (P ≥ .18 for all). Thirty-day complications, readmissions, reoperations, and mortality were subsequently analyzed.

RESULTS

Thirty-day readmission rates were identical between patients undergoing IP-TKA and OP-TKA (3.5% versus 3.5%, P = 1.0). Similarly, there was no significant difference in the incidence of major complications (2.7% versus 2.0%, P = .38), reoperations (1.3% versus 0.8%, P = .44), or mortalities (0.3% versus 0.3%, P = 1.0) within 30 days.

CONCLUSION

Octogenarians undergoing OP-TKA had comparable complication rates to similar patients undergoing IP-TKA. OP-TKA can be performed safely in select octogenarians and age ≥80 years likely does not need to be a uniform contraindication to OP-TKA.

A Novel Comorbidity Risk Score for Predicting Post-Operative 30-day Complications in Total Shoulder Arthroplasty & Elucidation of Potential Racial Disparities

Background

Efficient and effective preoperative identification of those patients with elevated risk may allow for more cost-effective interventions, accurate bundled payment adjustments, and overall improved patient care. Few comorbidity indices have provided clinical utility and adequate discriminative ability in the setting of complications after shoulder arthroplasty (SA).

Methods

The American College of Surgeons National Surgical Quality Improvement Program database was queried for anatomic and/or reverse SA procedures between 2010 and 2019. A subset of comorbidities were utilized including end-stage renal disease, history of hypertension, chronic obstructive pulmonary disease, functional status, history of bleeding disorder, and disseminated cancer.

Results

A total of 25,927 patients with an average age of 69.2 (standard deviation ±9.5) years were included in the study. Patients with a comorbidity risk score (CRS) at or above 2 were indicated to have at least a 29.6% 30-day postoperative complication rate after undergoing total shoulder arthroplasty, significantly higher than the described average of approximately 15%. The area under receiver operator curve for the novel CRS scoring system was 0.595, indicating fair discriminative ability to predict 30-day postoperative complications after SA. This illustrates a discriminative ability similar to that of the American Society of Anesthesiologists classification (0.584, confidence interval [CI] 0.578-0.589), modified Charlson Comorbidity Index (0.567, CI 0.561-0.573), and modified Frailty Index (0.534, CI 0.529-0.539), each of which are common comorbidity indices used for the National Surgical Quality Improvement Program database. The average CRS for the population was 0.8537 (CI 0.8011-0.8150; P < .05) while that for the Black demographic was 1.08 (CI 1.03-1.13; P < .001). Our results suggest that if the disparity in CRS among races was corrected, the average complication rate would be decreased by 2.0%.

Discussion and Conclusion

A higher CRS score resulted in higher rates of 30-day postoperative complications following SA. Black patients had a higher average CRS than all other races illustrating a racial disparity in comorbidity risk. Although the average complication rate of each race would still be unequal, this could mitigate some of the racial disparities observed and decrease the overall 30-day complication rate in SA. With the rise of bundled payments further increasing the need to preoperatively identify patients at high risk for costly complications, the CRS is based on easily identified, relevant comorbidities that may be an advantageous tool to identify patients at increased risk of complications following SA.

[Preoperative screening for risk factors]

The demographic change and continuously improving healthcare lead to increasing numbers of older, comorbid patients in elective orthopedic surgery. Perioperative risk assessment is crucial for patient counseling and preoperative planning. Risk factors, such as heart failure, chronic obstructive pulmonary disease, peripheral arterial occlusive disease, anemia, malnutrition, obesity, smoking and insufficiently controlled diabetes mellitus are common in patients undergoing elective orthopedic surgery. A thorough and early screening not only enables the individual assessment of the risk profile but in an elective setting also enables the chance for modification of certain risk factors in order to reduce the individual perioperative risk. Meanwhile, recommendations regarding risk stratification and adjustment of modifiable risk factors are included in national guidelines on the indications for elective total hip arthroplasty.

The Impact of Surgeon Variability on Patient-Reported Outcomes in Total Hip Arthroplasty

BACKGROUND

Patient-related and surgery-related factors have been shown to be drivers of outcomes after total hip arthroplasty (THA); however, the impact of intersurgeon variability is poorly understood. The purpose of this study is to assess the following: (1) overall effect of surgeon on 1-year patient-reported outcome measures (PROMs), length of stay (LOS), discharge disposition, and 90-day readmission following THA; and (2) variability in 1-year PROMs among surgeons.

METHODS

A prospective cohort of 3,695 patients who underwent THA between 2016 and 2018 was included. Seventy-eight percent of patients completed 1-year follow-up. Thirty-one surgeons from a large healthcare system were included. Likelihood ratio tests analyzed the relationship among surgeon and 1-year Hip Disability and Osteoarthritis Outcome Score (HOOS)-Pain, HOOS-Physical Function Short-Form, HOOS-Joint Replacement, University of California, Los Angeles activity score, Patient Acceptable Symptom State, LOS, discharge disposition, and 90-day readmission. Mixed-effect proportional odds and logistic regression models were used to determine variable importance for each outcome.

RESULTS

In total, 90.5% of patients responded positively to 1-year Patient Acceptable Symptom State. There was a significant association among surgeon and 1-year PROMs, LOS, discharge disposition (P < .001), and readmission (P = .002). For HOOS-Pain, Physical Function Short-Form, and Joint Replacement, surgeon (Akaike information criterion increase: 34.6, 18.7, 17.1, respectively) was a greater contributor to outcome than patient-level factors, including age, gender, and comorbidity. Differences in the highest and lowest median probability of achieving any given score on 1-year PROMs ranged from 11% to 18.5%. Variability was not explained by approach (P = .431) or case volume (correlation coefficient, ρ = 0.19).

CONCLUSION

Surgeon-level variability appears to be a greater driver of 1-year PROMs than some patient-level characteristics. Incorporating surgeon as a variable is beneficial for model-fitting and important for increasing value in THA.

The Utility of the 5-Factor Modified Frailty Index to Predict Postoperative Risk in Microsurgical Reconstruction

BACKGROUND

Microsurgical reconstruction is an integral part of plastic surgery. The 5-factor modified frailty index (5-mFI) is an effective tool to predict postoperative complications across multiple subspecialties. We aimed to determine if frailty scores using the 5-mFI can predict postoperative complications specifically in microvascular reconstruction.

STUDY DESIGN

Frailty scores were retrospectively assessed in microsurgical reconstruction patients (2012-2016) using the American College of Surgeons National Quality Improvement Program base. The 5 variables that comprise the 5-mFI are history of chronic obstructive pulmonary disease, history of congestive heart failure, functional status, hypertension requiring medication and diabetes. The data were analyzed using the Goodman test, χ2 test, and a logistic regression model. The congruence was also compared between the 5-mFI and the American Society of Anesthesiology (ASA) classification in predicting complications.

RESULTS

Of 5894 patients, the highest 5-mFI value was "3." Analyses show an increase in postoperative complications requiring ICU care. Further models indicate an association between readmission with hypertension and chronic obstructive pulmonary disease (P < 0.05). There was an increased risk of a failure to wean from ventilator with a history of chronic obstructive pulmonary disease and diabetes and an increased risk of readmission with a history of hypertension and chronic obstructive pulmonary disease. The 5-mFI and ASA were incongruent in predicting postoperative complications.

CONCLUSIONS

The 5-mFI predicts postoperative complications in the microsurgical reconstruction population. Although the 5-mFI and ASA predict different complications, their use provides insight into the potential adjustable risks before surgery.

Access to hip arthroplasty and rates of complications in different socioeconomic groups : a review of 111,000 patients in a universal healthcare system

AIMS

Total hip arthroplasty (THA) is one of the most successful surgical procedures. The objectives of this study were to define whether there is a correlation between socioeconomic status (SES) and surgical complications after elective primary unilateral THA, and investigate whether access to elective THA differs within SES groups.

METHODS

We conducted a retrospective, population-based cohort study involving 202 hospitals in Ontario, Canada, over a 17-year period. Patients were divided into income quintiles based on postal codes as a proxy for personal economic status. Multivariable logistic regression models were then used to primarily assess the relationship between SES and surgical complications within one year of index THA.

RESULTS

Of 111,359 patients who underwent elective primary THA, those in the lower SES groups had statistically significantly more comorbidities and statistically significantly more postoperative complications. While there was no increase in readmission rates within 90 days, there was a statistically significant difference in the primary and secondary outcomes including all revisions due (with a subset of deep wound infection and dislocation). Results showed that those in the higher SES groups had proportionally more cases performed than those in lower groups. Compared to the highest SES quintile, the lower groups had 61% of the number of hip arthroplasties performed.

CONCLUSION

Patients in lower socioeconomic groups have more comorbidities, fewer absolute number of cases performed, have their procedures performed in lower-volume centres, and ultimately have higher rates of complications. This lack of access and higher rates of complications is a "double hit" to those in lower SES groups, and indicates that we should be concentrating efforts to improve access to surgeons and hospitals where arthroplasty is routinely performed in high numbers. Even in a universal healthcare system where there are no penalties for complications such as readmission, there seems to be an inequality in the access to THA. Cite this article: Bone Joint J 2022;104-B(5):589-597.

Charlson comorbidity index predicts the 10-year survivorship of the operatively treated hip fracture patients

PURPOSE

The aim of this study was to determine how Charlson comorbidity index (CCI) predicts the 10-year survival of operatively treated hip fracture patients aged ≥ 65 years.

METHODS

This retrospective cohort study included all consecutive patients who had a hip fracture and were operatively treated upon in the study period from 01 January 2007 to 31 December 2007 at the university hospital. The clinical patient data were obtained from the medical records, and CCI score was calculated. The CCI predicts the 10-year mortality for a patient who may have a range of 22 comorbid conditions. Cumulative survival and complications were evaluated in terms of gender.

RESULTS

A total of 241 hip fractures were studied; of these, 183/241 (76%) were females. A total of 32/241 (15%) complications were found, of which 26/241 (11%) were considered major. Overall, 213/241 (88%) patients died during the 10 years of follow-up. Cumulative survival estimates for females were 13% at 10 years (SE = 0.3, 95% CI 3.8-4.8), and for males, it was 12% at 10 years (SE = 0.5, 95% CI 2.8-4.6) (p = 0.33). CCI was significantly associated with mortality after the hip fracture as patients with CCI scores ≥ 4 were at a 3.1-8.5 times higher risk of death compared to patients with low CCI scores of 2-3 (p < 0.001).

CONCLUSION

Complications are common after operatively treated hip fracture. Advanced age, living in a care facility, ASA class 4 and high CCI score ≥ 4 were risk factors of mortality after the operatively treated hip fracture.

Obesity, Comorbidities, and Prior Operations Additively Increase Failure in 2-Stage Revision Total Knee Arthroplasty for Prosthetic Joint Infection

BACKGROUND

Prosthetic joint infection (PJI) of the knee carries significant morbidity, mortality, and economic cost. We hypothesize that obese and poor medical hosts will have a significant and additive increase in failure rate undergoing 2-stage revision total knee arthroplasty for PJI.

METHODS

All 2-stage revision total knee arthroplasty procedures for PJI performed at one institution were identified between 2005 and 2020. In total, 144 patients were included and defined as success or failure based on published criteria regarding infection eradication, further intervention, or mortality. The American Society of Anesthesiologists score and the Charlson Comorbidity Index were utilized to assess host grade. Patient, surgical, and microbiologic variables were investigated with univariable and multivariable analysis to explore association with risk of failure.

RESULTS

In the cohort, 32.4% of patients failed with mean follow-up of 5.1 years. In multivariable analysis, the number of major operations requiring arthrotomy and implantation of new material between the primary and first stage, host grade, and elevated body mass index were the major contributors to failure. Combining these factors, with body mass index >30 and 2 or more major operations, the failure rate increased to 76.5% and 71.4% respectively for American Society of Anesthesiologists score 3 (P ≤ .001) and Charlson Comorbidity Index ≥2 (P ≤ .001).

CONCLUSION

In this cohort, multiple major operations between the primary and first stage, host grade, and obesity were the major contributors to failure. When combining these factors, patients had an additive increase in failure rate. Treatments such as amputation or less invasive options and suppression should be discussed and considered in these patients.

Is Frailty Associated with Adverse Outcomes After Orthopaedic Surgery?: A Systematic Review and Assessment of Definitions

BACKGROUND

There is increasing evidence supporting the association between frailty and adverse outcomes after surgery. There is, however, no consensus on how frailty should be assessed and used to inform treatment. In this review, we aimed to synthesize the current literature on the use of frailty as a predictor of adverse outcomes following orthopaedic surgery by (1) identifying the frailty instruments used and (2) evaluating the strength of the association between frailty and adverse outcomes after orthopaedic surgery.

METHODS

A systematic review was performed using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. PubMed, Scopus, and the Cochrane Central Register of Controlled Trials were searched to identify articles that reported on outcomes after orthopaedic surgery within frail populations. Only studies that defined frail patients using a frailty instrument were included. The methodological quality of studies was assessed using the Newcastle-Ottawa Scale (NOS). Study demographic information, frailty instrument information (e.g., number of items, domains included), and clinical outcome measures (including mortality, readmissions, and length of stay) were collected and reported.

RESULTS

The initial search yielded 630 articles. Of these, 177 articles underwent full-text review; 82 articles were ultimately included and analyzed. The modified frailty index (mFI) was the most commonly used frailty instrument (38% of the studies used the mFI-11 [11-item mFI], and 24% of the studies used the mFI-5 [5-item mFI]), although a large variety of instruments were used (24 different instruments identified). Total joint arthroplasty (22%), hip fracture management (17%), and adult spinal deformity management (15%) were the most frequently studied procedures. Complications (71%) and mortality (51%) were the most frequently reported outcomes; 17% of studies reported on a functional outcome.

CONCLUSIONS

There is no consensus on the best approach to defining frailty among orthopaedic surgery patients, although instruments based on the accumulation-of-deficits model (such as the mFI) were the most common. Frailty was highly associated with adverse outcomes, but the majority of the studies were retrospective and did not identify frailty prospectively in a prediction model. Although many outcomes were described (complications and mortality being the most common), there was a considerable amount of heterogeneity in measurement strategy and subsequent strength of association. Future investigations evaluating the association between frailty and orthopaedic surgical outcomes should focus on prospective study designs, long-term outcomes, and assessments of patient-reported outcomes and/or functional recovery scores.

CLINICAL RELEVANCE

Preoperatively identifying high-risk orthopaedic surgery patients through frailty instruments has the potential to improve patient outcomes. Frailty screenings can create opportunities for targeted intervention efforts and guide patient-provider decision-making.

Outpatient Surgical Fixation of Proximal Humerus Fractures Can Be Performed Without Increased Rates of Short-Term Complications or Readmissions

OBJECTIVE

To delineate differences in short-term complications between outpatient versus inpatient open reduction and internal fixation (ORIF) of proximal humerus fractures.

DESIGN

Retrospective database review.

SETTING

Hospitals participating in the American College of Surgeons National Surgical Quality Improvement Program database.

PATIENTS

Patients in the National Surgical Quality Improvement Program database with proximal humerus fractures from 2005 to 2017.

INTERVENTION

Proximal humerus fracture ORIF.

MAIN OUTCOME MEASUREMENTS

Thirty-day readmission, reoperation, thromboembolic events, and other complications.

RESULTS

In total, 920 outpatient and 2490 inpatient ORIF cases were identified. The proportion of outpatient proximal humerus fracture ORIF increased throughout the years from 6.67% in 2007 to 34.89% in 2017. Each outpatient case was propensity-score-matched with one inpatient case by age, sex, functional status, American Society of Anesthesiologists classification, smoking status, diabetes mellitus type, hypertension, chronic obstructive pulmonary disease, and dyspnea on exertion. After matching, there were 920 outpatient and 920 inpatient cases. Statistical analysis revealed no significant difference in complications including reoperation (1.63% vs. 2.50%), thromboembolic events (0.65% vs. 0.65%), and 30-day readmissions (2.93% vs. 2.69%) between outpatient versus matched inpatient procedures (all P > 0.05). The only significant finding was a lower rate of blood transfusion in outpatient procedures (0.54%) compared with inpatient procedures (4.02%) (P < 0.001).

CONCLUSIONS

The perioperative outcomes assessed here support the conclusion that ORIF for proximal humerus fractures can be performed in the outpatient setting without increased rates of 30-day perioperative complications or readmissions compared with inpatient procedures. However, it is worth noting that the majority of outpatient cases were younger than the average geriatric proximal humerus fracture patient.

LEVEL OF EVIDENCE

Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.

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

Reporting of Comorbidities in Total Hip and Knee Arthroplasty Clinical Literature: A Systematic Review

BACKGROUND

The effects of comorbid disease remain an area of interest. Concurrent diagnoses not only affect clinical outcomes but also affect health-care reimbursement. As the rate of arthroplasty increases, consistent risk stratification is imperative. Therefore, our aim was to ascertain how comorbidities have been reported in the recent total hip arthroplasty (THA) and total knee arthroplasty (TKA)-related literature; we also wanted to quantify the use of comorbidity scores for the assessment of comorbid disease in arthroplasty research.

METHODS

A systematic review of the recent THA and TKA literature that was published between January 1, 2019, and September 21, 2020, was performed using the PubMed and MEDLINE databases. Clinical studies that provided data on comorbidities were evaluated for method of comorbidity reporting. The prevalence of comorbidity reporting was assessed, and the manner of reporting was analyzed.

RESULTS

Among 659 articles, a total of 207 studies (31.4%) reported comorbidities and met our inclusion criteria. Of the 207 studies that reported comorbidities, only 57% used a comorbidity index to report comorbid disease. Of all of the indices, the American Society of Anesthesiologists (ASA) Physical Status Classification System was the score that was most commonly used (TKA, 86.2%; THA, 83.3%). Additional scores were used at varying frequencies. For TKA, the scores included the Charlson Comorbidity Index (CCI) (15.5%); the New York Heart Association (NYHA) Functional Classification (3.4%); and the CCI-Deyo (adapted by Deyo et al.), the age-adjusted CCI, the Cumulative Illness Rating Scale (CIRS), and the Readmission Risk Assessment Tool (RRAT) (1.7% each). For THA, the scores included the CCI (16.7%), the Elixhauser Comorbidity Measure (ECM) (6.7%), and the CCI-Deyo (1.7%).

CONCLUSIONS

Considering the impact of comorbid disease on outcomes, complications, and, ultimately, reimbursement, standardized risk stratification in arthroplasty is necessary. Current studies demonstrate inconsistent comorbidity reporting, making it challenging to further characterize the impact of comorbidities on outcomes. Future research should target the development of a standardized data-driven model for comorbidity assessment in the orthopaedic patient population.

The Charlson and Elixhauser Scores Outperform the American Society of Anesthesiologists Score in Assessing 1-year Mortality Risk After Hip Fracture Surgery

BACKGROUND

Risk adjustment has implications across orthopaedics, including informing clinical care, improving payment models, and enabling observational orthopaedic research. Although comorbidity indices (such as the American Society of Anesthesiologists [ASA] classification, Charlson comorbidity index [CCI], and Elixhauser comorbidity index [ECI]) have been examined extensively in the immediate perioperative period, there is a dearth of data on their three-way comparative effectiveness and long-term performance. Moreover, the discriminative ability of the CCI and ECI after orthopaedic surgery has not been validated in the ICD-10 era, despite new diagnosis codes from which they are calculated.

QUESTION/PURPOSE

Which comorbidity index (ASA, CCI, or ECI) is associated with the greatest accuracy on receiver operating curve (ROC) analysis with respect to the endpoint of death at 90 days and 1 year after hip fracture surgery in the ICD-10 era?

METHODS

A retrospective study was conducted on all patients undergoing surgical fixation of primary hip fractures at two Level I trauma centers and three community hospitals from October 2016 to May 2019. This time frame allowed for a 1-year baseline period of ICD-10 data to assess comorbidities and at least a 1-year follow-up period to assess mortality. Initially 1516 patients were identified using Common Procedural Terminology and ICD codes, of whom 4% (60 of 1516) were excluded after manual review; namely, those with pathologic fractures (n = 38), periprosthetic fractures (n = 12), and age younger than 18 years (n = 10). Of the patients who were studied, 69% (998 of 1456) were women and the mean ± SD age was 77 ± 14 years; 45% (656 of 1456) were treated with intramedullary nails, 32% (464 of 1456) underwent hemiarthroplasties, 10% (149 of 1456) underwent THAs, 7% (104 of 1456) underwent percutaneous fixations, and 6% (83 of 1456) were treated with plates and screws. The mean ± SD ASA score was 2.8 ± 0.6, CCI was 3.1 ± 3.2, and ECI was 5.2 ± 3.5. Hip fracture fixation was chosen as the operation of interest given the high incidence of this injury, the well-documented effects of comorbidities on complications, and the critical importance of risk stratification and perioperative medical management for these patients. Demographics, comorbidities, surgical details, as well as 90-day and 1-year mortality were collected. Logistic regressions with ROC curves were used to determine the accuracy and comparative effectiveness of the three measures. The 90-day mortality rate was 7.4%, and the 1-year mortality rate was 15.0%.

RESULTS

The accuracy (area under the curve [AUC]) for 1-year mortality was 0.685 (95% CI 0.656 to 0.714) for the ASA, 0.755 (95% CI 0.722 to 0.788) for the ECI, and 0.769 (95% CI 0.739 to 0.800) for the CCI. The CCI and ECI were more accurate than ASA (p < 0.001 for both), while the CCI and ECI did not differ (p = 0.30). The ECI (AUC 0.756 [95% CI 0.712 to 0.800]) was more accurate for 90-day mortality than the ASA (AUC 0.703 [95% CI 0.663 to 0.744]; p = 0.04), while CCI (AUC 0.742 [95% CI 0.698 to 0.785]) with ASA (p = 0.17) and CCI with ECI (p = 0.46) did not differ at 90 days.

CONCLUSION

Performance measures and research results may vary depending on what comorbidity index is used. We found that the CCI and ECI were more accurate than the ASA score for 1-year mortality after hip fracture surgery. Moreover, these data validate that the CCI and ECI can perform reliably in the ICD-10 era. If other studies from additional practice settings confirm these findings, as would be expected because of the objective nature of these indices, the CCI or ECI may be a useful preoperative measure for surgeons to assess 1-year mortality for hip fracture patients and should likely be used for institutional orthopaedic research involving outcomes 90 days and beyond.

LEVEL OF EVIDENCE

Level III, diagnostic study.

The Update on Instruments Used for Evaluation of Comorbidities in Total Hip Arthroplasty

INTRODUCTION

It is a well-established fact that concomitant diseases can affect the outcome of total hip arthroplasty (THA). Therefore, careful preoperative assessment of a patient's comorbidity burden is a necessity, and it should be a part of routine screening as THA is associated with a significant number of complications. To measure the multimorbidity, dedicated clinical tools are used.

METHODS

The article is a systematic review of instruments used to evaluate comorbidities in THA studies. To create a list of available instruments for assessing patient's comorbidities, the search of medical databases (PubMed, Web of Science, Embase) for indices with proven impact on revision risk, adverse events, mortality, or patient's physical functioning was performed by two independent researchers.

RESULTS

The initial search led to identifying 564 articles from which 26 were included in this review. The measurement tools used were: The Charlson Comorbidity Index (18/26), Society of Anesthesiology classification (10/26), Elixhauser Comorbidity Method (6/26), and modified Frailty Index (5/26). The following outcomes were measured: quality of life and physical function (8/26), complications (10/26), mortality (8/26), length of stay (6/26), readmission (5/26), reoperation (2/26), satisfaction (2/26), blood transfusion (2/26), surgery delay or cancelation (1/26), cost of care (1/26), risk of falls (1/26), and use of painkillers (1/26). Further research resulted in a comprehensive list of eleven indices suitable for use in THA outcomes studies.

CONCLUSION

The comorbidity assessment tools used in THA studies present a high heterogeneity level, and there is no particular system that has been uniformly adopted. This review can serve as a help and an essential guide for researchers in the field.

Association of Social Behaviors With Community Discharge in Patients with Total Hip and Knee Replacement

OBJECTIVES

Understand the association between social determinants of health and community discharge after elective total joint arthroplasty.

DESIGN

Retrospective cohort design using Optum de-identified electronic health record dataset.

SETTING AND PARTICIPANTS

A total of 38 hospital networks and 18 non-network hospitals in the United States; 79,725 patients with total hip arthroplasty and 136,070 patients with total knee arthroplasty between 2011 and 2018.

METHODS

Logistic regression models were used to examine the association among pain, weight status, smoking status, alcohol use, substance disorder, and postsurgical community discharge, adjusted for patient demographics.

RESULTS

Mean ages for patients with hip and knee arthroplasty were 64.5 (SD 11.3) and 65.9 (SD 9.6) years; most patients were women (53.6%, 60.2%), respectively. The unadjusted community discharge rate was 82.8% after hip and 81.1% after knee arthroplasty. After adjusting for demographics, clinical factors, and behavioral factors, we found obesity [hip: odds ratio (OR) 0.81, 95% confidence interval (CI) 0.76-0.85; knee: OR 0.73, 95% CI 0.69-0.77], current smoking (hip: OR 0.82, 95% CI 0.77-0.88; knee: OR 0.90, 95% CI 0.85-0.95), and history of substance use disorder (hip: OR 0.55, 95% CI 0.50-0.60; knee: OR 0.57, 95% CI 0.53-0.62) were associated with lower odds of community discharge after hip and knee arthroplasty, respectively.

CONCLUSIONS AND IMPLICATIONS

Social determinants of health are associated with odds of community discharge after total hip and knee joint arthroplasty. Our findings demonstrate the value of using electronic health record data to analyze more granular patient factors associated with patient discharge location after total joint arthroplasty. Although bundled payment is increasing community discharge rates, post-acute care facilities must be prepared to manage more complex patients because odds of community discharge are diminished in those who are obese, smoking, or have a history of substance use disorder.

Hospital Frailty Risk Score Outperforms Current Risk Stratification Models in Primary Total Hip and Knee Arthroplasty

BACKGROUND

Models for risk stratification and prediction of outcome, such as the Charlson Comorbidity Index (CCI), the Elixhauser Comorbidity Method (ECM), the 5-factor modified Frailty Index (mFI-5), and the Hospital Frailty Risk Score (HFRS) have been validated in orthopedic surgery. The aim of this study is to compare the predictive power of these models in total hip and knee replacement.

METHODS

In a retrospective analysis of 8250 patients who had undergone total joint replacement between 2011 and 2019, CCI, ECM, mFI-5, and HFRS were calculated for each patient. Receiver operating characteristic curve plots were generated and the area under the curve (AUC) was compared between each score with regard to adverse events such as transfusion, surgical, medical, and other complications. Multivariate logistic regression models were used to assess the relationship among risk stratification models, demographic factors, and postoperative adverse events.

RESULTS

In prediction of surgical complications, HFRS performed best (AUC: 0.719, P < .001), followed by ECM (AUC: 0.578, P < .001), mFI-5 (AUC: 0.564, P = .003), and CCI (AUC: 0.555, P = .012). With regard to medical complications, other complications, and transfusion, HFRS also was superior to ECM, mFI-5, and CCI. Multivariate logistic regression analyses revealed HFRS as an independent risk stratification model associated with all captured adverse events (P ≤ .001).

CONCLUSION

The HFRS is superior to current risk stratification models in the context of total joint replacement. As the HRFS derives from routinely collected administrative data, healthcare providers can identify at-risk patients without additional effort or expense.

Ability of a Risk Prediction Tool to Stratify Quality and Cost for Older Patients With Operative Distal Radius Fractures

Introduction:

Distal radius fractures are the second most common fracture in the elderly population. The incidence of these fractures has increased over time, and is projected to continue to do so. The aim of this study is to utilize a validated trauma risk prediction tool to stratify middle-aged and geriatric patients with operative distal radius fractures as well as compare hospital quality metrics and inpatient hospitalization costs among the risk groups.

Materials and Methods:

Patients were prospectively enrolled in an orthopedic trauma registry. The Score for Trauma Triage in Geriatric and Middle Aged (STTGMA) was calculated using patient demographics, injury severity, and functional status. Patients were then stratified into minimal-risk, moderate-risk, and high-risk cohorts based on their scores. Length of stay, need for escalation of care, complications, mortality, discharge location, 1-year patient reported outcomes, and index admission costs were evaluated.

Results:

Ninety-two patients met inclusion criteria. Sixty-three (68.5%) patients were managed with outpatient surgery. The mean inpatient length of stay for the high-risk cohort was 2.9x and 2.2x higher than the minimal and moderate-risk cohorts, respectively (2.0 + 2.9 days vs. 0.7 + 0.9 and 0.9 + 1.1 days, P = .019). There were no complications or mortality in any of the risk groups. No patients required intensive care and all patients were discharged home. There was no difference in readmission rates, inpatient cost, or 1-year patient reported outcomes among the risk cohorts.

Discussion/Conclusions:

The Score for Trauma Triage in Geriatric and Middle-Aged is able to risk-stratify patients that undergo operative intervention of distal radius fractures. Middle aged and elderly patients with isolated closed distal radius fractures can be safely managed on an outpatient basis regardless of risk. Standardized pathways can be created in the management of these injuries, thereby optimizing value-based care.

Level of evidence:

Prognostic Level III

Association of preoperative medication with postoperative length of stay in elderly patients undergoing hip fracture surgery

BACKGROUND

For elderly patients who are about to undergo surgery, research on the effects of preoperative medication on postoperative outcomes is rare, especially preoperative discontinuation-requiring medication (PDRM) which needed to be discontinued because of its increased risk of postoperative complications.

AIM

To investigate whether preoperative medication (PDRM and polypharmacy) is associated with postoperative length of hospital stay (LOS) in elderly patients undergoing hip fracture surgery.

METHODS

Patients aged ≥ 65 who were scheduled for hip (limited to femoral tuberosity) fracture surgery were included. Baseline characteristics, preoperative medication and postoperative LOS were collected from the electronic medical record. The primary outcome was postoperative LOS.

RESULTS

A total of 369 hip fracture patients were included. There were 188 and 122 patients exposed to PDRM and polypharmacy, respectively. Multivariate analysis models were constructed using significant factors for prolonged postoperative hospital stay from univariate analysis: Model I (body mass index (BMI), Charlson comorbidity index (CCI) ≥ 7, creatinine clearance rate (Ccr) < 60 and PDRM) and Model II (BMI, Ccr ≥ 7, Ccr < 60 and polypharmacy). CCI was the most significant factor. Its adjusted odds ratio was as large as 2.7 and attributable risk was 63%. In preoperative medication use, both polypharmacy and PDRM showed significant association with postoperative LOS.

CONCLUSION

The present study supported the impact of PDRM on postoperative LOS in geriatric hip fracture patients. The results added a further aspect to preoperative medication optimization in elderly patients undergoing hip fracture surgery.

A Matched Comparison of Postoperative Complications Between Smokers and Nonsmokers Following Open Reduction Internal Fixation of Distal Radius Fractures

PURPOSE

The purpose of the present study was to identify differences in 30-day adverse events, reoperations, readmissions, and mortality for smokers and nonsmokers who undergo operative treatment for a distal radius fracture.

METHODS

The American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database was queried for patients who had operatively treated distal radius fractures between 2005 and 2017. Patient characteristics and surgical variables were assessed. Thirty-day outcome data were collected on serious (SAEs) and minor adverse events (MAEs), as well as on infection, return to the operating room, readmission, and mortality. Multivariable logistic analyses with and without propensity-score matching was used to compare outcome measures between the smoker and the nonsmoker cohorts.

RESULTS

In total, 16,158 cases were identified, of whom 3,062 were smokers. After 1:1 propensity-score matching, the smoking and nonsmoking cohorts had similar demographic characteristics. Based on the multivariable propensity-matched logistic regression, cases in the smoking group had a significantly higher rate of any adverse event (AAE) (odds ratio [OR], 1.75; 95% confidence interval [95% CI], 1.28-2.38), serious adverse event (SAE) (OR, 1.75; 95% CI, 1.22-2.50), and minor adverse event (MAE) (OR, 1.84; 95% CI, 1.04-3.23). Smokers also had higher rates of infection (OR, 1.73; 95% CI, 1.26-2.39), reoperation (OR, 2.07; 95% CI, 1.13-3.78), and readmission (OR, 1.83; 95% CI, 1.20-2.79). There was no difference in 30-day mortality rate.

CONCLUSIONS

Smokers who undergo open reduction internal fixation of distal radius fractures had an increased risk of 30-day perioperative adverse events, even with matching and controlling for demographic characteristics and comorbidity status. This information can be used for patient counseling and may be helpful for treatment/management planning.

TYPE OF STUDY/LEVEL OF EVIDENCE

Prognostic II.

Mortality as a competition risk factor in the survival analysis of the results of the type of fixation of the total hip prosthesis in octogenarian patients

INTRODUCTION

Total hip replacement (THR) is challenging in octogenarians due to associated comorbidities and controversy regarding fixation type. We ask whether cemented THR is superior to uncemented THR in patients above the age of 80 years.

MATERIAL AND METHODS

A total of 382 patients (441 hips) aged 80 years or older who underwent THR between 2004 and 2015 were analysed. A cemented THR was implanted in 196 hips (group 1), an uncemented THR with a grit-blasted stem in 121 (group 2), or with a porous-coated stem in 124 (group 3). Patients in group 1 had a higher mean age, more comorbidities and osteoporotic bone. Survival analysis was calculated using cumulative incidence function to account for the competing risk of death.

RESULTS

Medical complications rate was similar. There were 3post-operative fractures: one in group 2 and 2in group 3. Competing risk analysis showed that the cumulative incidence of revision for any cause was 2.3 in group 1, 6.0 in group 2 and 4.1 in group 3 at 10years, and the cumulative incidence of revision for aseptic loosening was 1.2 in group 1, 3.7 in group 2 and 0 in group 3 at the same period.

CONCLUSIONS

THR presents an acceptable number of adverse events for octogenarian patients. Despite uncemented fixation was satisfactory, the higher peri-prosthetic fracture rate worsens results in this group.

Frailty Is a Better Predictor than Age of Mortality and Perioperative Complications after Surgery for Degenerative Cervical Myelopathy: An Analysis of 41,369 Patients from the NSQIP Database 2010-2018

Background: The ability of frailty compared to age alone to predict adverse events in the surgical management of Degenerative Cervical Myelopathy (DCM) has not been defined in the literature. Methods: 41,369 patients with a diagnosis of DCM undergoing surgery were collected from the National Surgical Quality Improvement Program (NSQIP) Database 2010–2018. Univariate analysis for each measure of frailty (modified frailty index 11- and 5-point; MFI-11, MFI-5), modified Charlson Co-morbidity index and ASA grade) were calculated for the following outcomes: mortality, major complication, unplanned reoperation, unplanned readmission, length of hospital stay, and discharge to a non-home destination. Multivariable modeling of age and frailty with a base model was performed to define the discriminative ability of each measure. Results: Age and frailty have a significant effect on all outcomes, but the MFI-5 has the largest effect size. Increasing frailty correlated significantly with the risk of perioperative adverse events, longer hospital stay, and risk of a non-home discharge destination. Multivariable modeling incorporating MFI-5 with age and the base model had a robust predictive value (0.85). MFI-5 had a high categorical assessment correlation with a MFI-11 of 0.988 (p < 0.001). Conclusions and Relevance: Measures of frailty have a greater effect size and a higher discriminative value to predict adverse events than age alone. MFI-5 categorical assessment is essentially equivalent to the MFI-11 score for DCM patients. A multivariable model using MFI-5 provides an accurate predictive tool that has important clinical applications.

The Association Between Comorbidity and the Risks and Early Benefits of Total Hip Arthroplasty for Hip Osteoarthritis

BACKGROUND

The changing demographics of our society will lead to an increasing number of patients presenting for orthopedic surgery with increasing comorbidity. We investigated the association between comorbidity and both the risks (complications) and benefits (improved function) of total hip arthroplasty (THA) for primary hip osteoarthritis, whilst controlling for potential confounders including age.

METHODS

One thousand five hundred and eighty-four patients (67.1 ± 10.6 years; 54% men) in our tertiary care orthopedic hospital completed the Oxford Hip Score before and 12 months after THA. Comorbidity was assessed using the American Society of Anesthesiologists (ASA) grade and Charlson Comorbidity Index (CCI). Details regarding perioperative complications (hospital stay plus 18 days after discharge; mean 27 ± 3 days) were extracted from the clinic information system and graded for severity.

RESULTS

For ASA1, 2, and ≥3, respectively, there were 3.1%, 3.0%, and 6.6% surgical/orthopedic complications; 3.7%, 12.5%, and 27.4% general medical complications; and 6.7%, 14.5%, and 29.8% complications of either type. ASA was associated with complication severity (P < .001). In multiple regression, increasing ASA grade (OR 1.74; 95% CI, 1.33-2.29) and age (OR 1.06; 95% CI, 1.05-1.08), both showed an independent association with increased risk of a complication; CCI explained no further significant variance. CCI, but not age, was associated with the 12-month Oxford Hip Score (beta coefficient, -0.742; 95% CI, -1.130 to -0.355; P = .002) while ASA grade explained no further variance.

CONCLUSION

Greater comorbidity was associated with increased odds of a complication and (independently) slightly worse patient-rated outcome 12 months after THA. Comorbidity indices can be easily obtained for all surgical patients and may assist with preoperative counseling regarding individual risks and benefits of THA.

A comparison of frailty indices in predicting length of inpatient stay and discharge destination following angiogram-negative subarachnoid hemorrhage

BACKGROUND AND PURPOSE

While patients with angiogram-negative subarachnoid hemorrhages (ANSAH) have better prognoses than those with aneurysmal SAH, frailty's impact on outcomes in ANSAH is unclear. We previously showed that the modified frailty index (mFI-11) is associated with poor outcomes following ANSAH. Here, we compared the mFI-5, mFI-11, Charlson Comorbidity Index (CCI), and temporalis thickness (TMT) to determine which index was the best predictor of ANSAH outcomes and mortality rates.

METHODS

In this retrospective cohort analysis between 2014 and 2018, patients with non-traumatic, angiogram negative SAH (ANSAH) were identified. The admission mFI-5, mFI-11, CCI, and TMT were calculated for each patient. Primary outcomes were mortality rate, discharge location, and prolonged length of stay (PLOS; LOS >85^th percentile). Multivariate logistic regression and receiver operating characteristic (ROC) curves were used to evaluate frailty as predictors of primary endpoints.

RESULTS

We included 75 patients with a mean age of 55.4 ± 1.5 years. There were 4 patient deaths (5.3%), 53 patients (70.7%) discharged home, and 11 patients (14.7%) with PLOS. On ROC analysis, the mFI-5 had the highest discriminatory value for mortality (AUC = 0.97) while the mFI-11 was most discriminatory for discharge home (AUC = 0.85) and PLOS (AUC = 0.78). On multivariate analysis, the only independent predictor of mortality was the mFI-11 (OR = 0.46; 95%CI: 1.45-14.23; p = 0.009) while the mFI-5 was the best predictor of discharge home (OR = 0.21; 95% CI: 0.08-0.61; p = 0.004). On multivariate analysis, the only independent predictor of PLOS was the Hunt and Hess score (OR = 2.63; 95%CI: 1.38-5.00; p = 0.003). The CCI and TMT were inferior to either mFI for predicting primary endpoints.

CONCLUSIONS

Increasing frailty is associated with poorer outcomes and higher mortality following ANSAH. The mFI-5 and mFI-11 were found to be superior predictors of discharge home and mortality rate. While larger prospective study is needed, frailty, as measured by mFI-11 and -5, should be considered when evaluating ANSAH prognosis.

Review article: Patient characteristics that act as risk factors for intraoperative complications in hip, knee, and shoulder arthroplasties

The number of annual THA's, TKA's, and TSA's is set to increase significantly by the year 2030, making it imperative to understand the risks for negative outcomes in these procedures. While research has studied the patient risk factors for perioperative and postoperative complications, there has been relatively little research for intraoperative complications. After a thorough literature review, the most supported finding was that patients with a BMI >30 had significantly more intraoperative blood loss than those with a BMI <30. All other relationships between patient risk factors and intraoperative complications of interest were inadequately studied.

Reduced Revision Risk for Dual-Mobility Cup in Total Hip Replacement Due to Hip Fracture: A Matched-Pair Analysis of 9,040 Cases from the Nordic Arthroplasty Register Association (NARA)

BACKGROUND

The dual-mobility acetabular cup (DMC) has an additional bearing consisting of a mobile polyethylene component between the prosthetic head and the outer metal shell. This design has gained popularity in revision total hip arthroplasty (THA) and in primary treatment of femoral neck fractures with the anticipation of a reduced risk of THA instability. Our primary aim was to evaluate the overall revision risk of these cups on the basis of data from the Nordic Arthroplasty Register Association (NARA) database, and our secondary aim was to study specific revision causes including dislocation.

METHODS

Propensity score matching for age, sex, fixation of the cup and stem, and the year of surgery (2001 to 2014) was used to match 4,520 hip fractures treated with a DMC to 4,520 hip fractures treated with conventional THA (control group). Competing risk regression analyses with revision or death as the end point were used. Revision was defined as a secondary surgical procedure in which any component of the implant was removed or exchanged. In addition, revision of the cup was analyzed.

RESULTS

The DMCs had a lower risk of revision compared with conventional THA, with an adjusted hazard ratio (AHR) of 0.75 (95% confidence interval [CI] = 0.62 to 0.92). This was consistent after adjusting for surgical approach. DMCs had a lower risk of revision due to dislocation (AHR = 0.45 [95% CI = 0.30 to 0.68]) but we found no difference regarding revision for deep infection. Revision of the acetabular component, both in general and due to dislocation, was more frequent with the use of conventional cups. The risk of death was higher in the DMC group (AHR = 1.49 [95% CI = 1.40 to 1.59]).

CONCLUSIONS

The use of a DMC as primary treatment for hip fracture was associated with a lower risk of revision in general and due to dislocation in particular. The total number of DMCs analyzed (4,520) likely exceeds any cohort of DMC-treated fractures published to date.

LEVEL OF EVIDENCE

Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.

Unlike Native Hip Fractures, Delay to Periprosthetic Hip Fracture Stabilization Does Not Significantly Affect Most Short-Term Perioperative Outcomes

BACKGROUND

The incidence of periprosthetic hip fractures is increasing due to higher numbers of total hip arthroplasties being performed. Unlike native hip fractures, the effect of time to surgery of periprosthetic hip fractures is not well established. This study evaluates the effect of time to surgery on perioperative complications for patients with periprosthetic hip fractures.

METHODS

Patients who underwent surgery for periprosthetic hip fracture were identified in the 2005-2016 National Surgical Quality Improvement Program database and stratified into 2 groups: <2 and ≥2 days from hospital admission to surgery. Multivariate regressions were used to compare risk for perioperative complications between the 2 groups. Independent risk factors for postoperative serious adverse events were characterized.

RESULTS

In total, 409 (<2 days from admission to surgery) and 272 (≥2 days from admission to surgery) patients were identified. Multivariate analysis revealed only higher risk of extended postoperative stay for patients who had delays of ≥2 days to surgery compared to those who had <2 days from admission to surgery. Independent risk factors for serious adverse events included increasing age, dependent preoperative functional status, and preoperative congestive heart failure, but not time to surgery.

CONCLUSION

Unlike for native hip fractures, time to surgery for periprosthetic hip fractures does not appear to affect most 30-day perioperative complications. However, it is worth noting that this study was unable to control for all potential confounders and therefore the results may not be generalizable to all types of periprosthetic hip fractures.

Analysis of the associated factors for severe weight loss after minimally invasive McKeown esophagectomy

BACKGROUND

This study investigated the risk factors for severe weight loss (SWL) within one year after minimally invasive McKeown esophagectomy.

METHODS

Esophageal cancer patients who underwent McKeown esophagectomy between January and July 2017 were prospectively enrolled. Preoperative body weight (PBW) was chosen as the initial body weight.

RESULTS

Forty-four patients were enrolled and successfully followed up for one year. Median weight loss was 7.4% (quartile: 5.3-8.1%) and 12.6% (quartile: 8.8-17.7%) four weeks and one year after surgery, respectively. Accelerated weight loss occurred during the first two weeks after discharge, with median weight loss of 5.6% (quartile: 4.2-7.1%). Multivariable analysis showed that age ≥ 70 years (odds ratio [OR] 7.65; P = 0.030), preoperative sarcopenia (OR 7.18; P = 0.030), the first surgery in the daily schedule (OR 6.87; P = 0.032) and vocal cord paralysis (OR 12.30; P = 0.046) were independent risk factors for short-term (4 weeks) SWL (> 7.5% PBW), while an American Society of Anesthesiologists score of 3-4 (OR 6.58; P = 0.047), a high fat-free mass (OR 21.91; P = 0.003), and vocal cord paralysis (OR 25.83; P = 0.017) were independent risk factors for long-term (1 year) SWL (> 13.0% PBW) after esophagectomy. Postoperative symptoms of insomnia, appetite loss, dysphagia, eating difficulties, and taste issues were also related to SWL.

CONCLUSIONS

In esophageal cancer patients who have undergone esophagectomy, the first two weeks after hospital discharge is a key period for nutrition intervention. Patients with associated factors for SWL require postoperative nutrition support.