Hospital Frailty Risk Score Predicts Adverse Events in Primary Total Hip and Knee Arthroplasty

Investigation of the validity and reliability of the short physical performance battery in patients undergoing total knee arthroplasty

BACKGROUND

Practical, applicable, valid, and reliable tools are needed to assess physical performance in patients with Total Knee Arthroplasty (TKA) in a variety of settings, including routine clinical assessment, research studies, and community-based programs.

OBJECTIVE

The aim of this study is to evaluate the validity and reliability of the Short Physical Performance Battery (SPPB) among patients with TKA.

METHODS

We included 45 patients who underwent TKA surgery (mean age 68.89 ± 9.26). The SPPB, Timed up and go (TUG) test and, Hospital for Special Surgery (HSS) Knee Score were administered to the patients. SPPB was performed twice on the same day with 1 h rest.

RESULTS

The ICC(2,1) coefficient, MDC95 and SEM values were 0.97, 1.02 and 0.37 respectively. The Pearson correlation coefficient of the SPPB with the TUG and HSS was -.78, and 0.74 respectively.

CONCLUSION

SPPB has excellent reliability, and strong validity in assessing physical performance in patients with TKA. SPPB can identify even minimal detectable difference in physical performance and can be reliably used to monitor patient outcomes in the postoperative period for a comprehensive assessment of TKA in many physical performance domains, including balance, walking speed, and lower extremity strength.

CLINICAL TRIAL NUMBER

NCT06201637.

Impact of the hospital frailty risk score on outcomes following primary total elbow arthroplasty

BACKGROUND

The Hospital Frailty Risk Score (HFRS) has demonstrated strong correlation with adverse outcomes in various joint replacement surgeries, yet its applicability in total elbow arthroplasty (TEA) remains unexplored. The purpose of this study is to assess the association between HFRS and postoperative complications following elective primary TEA.

METHODS

The Nationwide Readmissions Database was queried to identify patients undergoing primary TEA from 2016-2020. The HFRS was used to compare medical, surgical, and clinical outcomes of frail vs. nonfrail patients. Mean and relative costs, total hospital length of stay, and discharge disposition for frail and nonfrail patients were also compared.

RESULTS

We identified 2049 primary TEA in frail patients and 3693 in nonfrail patients. Frail patients had increased complication rates including acute respiratory failure (13.6% vs. 1.1%; P < .001), urinary tract infections (12.3% vs. 0.0%; P < .001), transfusions (3.9% vs. 1.1%; P < .001), pneumonia (1.1% vs. 0.2%; P < .001), acute respiratory distress syndrome (3.2% vs. 0.6%; P < .001), sepsis (0.7% vs. 0.1%; P < .001), and hardware failure (1.2% vs. 0.1%; P < .001). Frail patients also experienced higher rates of readmission (37% vs. 25%; P < .001) and death (1.7% vs. 0.2%; P < .001), while being less likely to undergo revision (6.5% vs. 17%; P < .001). Frail patients incurred higher health-care costs ($28,497 vs. $23,377; P < .001) and longer length of stay (5.3 days vs. 2.6 days; P < .001), with reduced likelihood of routine hospital stays (36% vs. 71%; P < .001) and increased utilization of short-term hospitalization (P < .001), care facilities (P < .001), and home health-care services (P < .001).

CONCLUSION

HFRS is a validated indicator of frailty and is strongly associated with increased rates of complications in patients undergoing elective primary TEA. These findings should be considered by orthopedic surgeons when assessing surgical candidacy and discussing treatment options in this at-risk patient population.

Influence of parkinson's disease on complications and revisions in total hip and knee arthroplasty: insights from a matched pair analysis

PURPOSE

The outcome of elective total joint arthroplasty (TJA) in patients with Parkinson's disease (PD) is controversial due to the concomitant risk profile. This study investigated postoperative complications and revision rates following total hip (THA) and knee arthroplasty (TKA) in patients with PD.

METHODS

Ninety-six patients with PD undergoing THA or TKA were matched 1:1 with non-PD patients using propensity score matching for age, sex and comorbidity (Charlson Comorbidity index, CCI). Rates of revisions, medical and surgical complications were compared. Univariate and multivariate regression analyses were calculated.

RESULTS

PD patients exhibited higher rates of revision-surgeries within 90 days (13.5% vs. 5.2%; p = 0.048), medical complications (68.8% vs. 43.8%; p < 0.001) and surgical complications (40.6% vs. 21.9%; p = 0.005). Multivariate regression analysis confirmed PD as a significant risk factor for complications and long-term revision-surgeries.

CONCLUSION

PD increases the risk of adverse outcomes following THA and TKA. Improvements in pre-operative planning and post-operative care are critical to the improvement of outcomes in this vulnerable population.

Frailty and the incidence of surgical site infection after total hip or knee arthroplasty: A meta-analysis

BACKGROUND

Surgical site infection (SSI) remains a critical postoperative complication after total hip and knee arthroplasty (THA and TKA). Frailty, a condition characterized by decreased physiological reserve and increased vulnerability to stressors, may influence the risk of SSI in these patients. This meta-analysis aims to evaluate the association between frailty and the incidence of SSI following THA or TKA.

METHODS

A systematic search of databases including PubMed, EMBASE, Web of Science, Wanfang, and CNKI was conducted to identify relevant studies. Data were extracted and pooled using a random-effects model to calculate the overall risk ratio (RR) and 95 % confidence intervals (CIs).

RESULTS

A total of ten studies comprising 1,036,787 patients met the inclusion criteria. The meta-analysis revealed that frail patients undergoing THA or TKA had a significantly higher risk of developing SSI compared to non-frail patients (RR = 1.64, 95 % CI: 1.39-1.93, p < 0.001, I2 = 66 %). Subgroup analyses indicated that the type of arthroplasty (hip vs. knee) and the method of frailty assessment did not significantly alter the association. Further subgroup analysis suggested that frailty was significantly associated with a higher incidence of deep SSI including joint infection (RR = 1.77, 95 % CI: 1.27-1.48, p < 0.001), but not the incidence of superficial SSI (RR = 1.57, 95 % CI: 0.45-5.42, p = 0.48). The association between frailty and SSI remains in subgroup of multivariate studies only (RR = 1.56, 95 % CI: 1.34 to 1.80, p < 0.001).

CONCLUSIONS

Frailty is a potential predictor of SSI following TKA/THA.

Perioperative and frailty outcomes after total knee arthroplasty: a retrospective cohort study

BACKGROUND

Total knee arthroplasty (TKA) is a common procedure with an increasing demand, especially among the elderly. Frailty is known to be associated with adverse perioperative outcomes in the older population. In this article, we aimed to understand the associations of preoperative frailty status and comorbid conditions in relation to their clinical and healthcare outcomes after TKA, and to describe the perioperative factors leading to improvement in a patient's frailty status after TKA.

METHODS

This is a retrospective cohort study, and the outcomes were assessed over 2 years. Frailty is defined by the Clinical Frailty Score.

RESULTS

A total of 96 patient records were assessed, of which 13 (13.5%) patients were robust and 83 (86.5%) patients were prefrail or frail. Two years after TKA, the number of robust patients increased to 58 (61.7%) patients, showing a reversal of frailty in 48.2% of patients.

CONCLUSION

Total knee arthroplasty in prefrail and frail patients is a safe procedure that leads to improvement of frailty status, with an increase in the proportion of patients becoming robust within 2 years after the operation.

Association between malnutrition status and total joint arthroplasty periprosthetic joint infection and surgical site infection: a systematic review meta-analysis

BACKGROUND

Malnutrition is a state resulting from lack of intake or uptake of nutrition. Investigating the association between malnutrition and postoperative complications is essential for enhancing patient outcomes in total joint arthroplasty (TJA). This meta-analysis aimed to investigate the impact of malnutrition on the incidence of surgical site infections (SSIs) and periprosthetic joint infections (PJIs) following TJA.

METHODS

The data were searched from databases including PubMed, Embase, Web of Science, and Cochrane Library inception through July 19 2023, without time restrictions. Inclusion criteria focused on studies examining malnutrition as a risk factor for SSIs and PJIs postarthroplasty, providing sufficient data for calculating odds ratios (ORs) and 95% confidence intervals (CIs). Methodological quality was assessed using the Newcastle‒Ottawa Scale, and statistical analyses were executed in Stata version 17.

RESULTS

A total of 1,025 articles were screened, and 9 studies satisfying the predefined inclusion criteria were consequently selected for this meta-analysis. Studies indicated that malnutrition is significant factor to the heightened incidence of both SSIs and PJIs following TJA procedures. Our pooled results yielded aggregated ORs of 2.60 for SSIs and 3.44 for PJIs, with respective 95% CIs of 2.10-3.10 and 2.35-4.53. The heterogeneity of malnutrition as a risk factor for postoperative SSI was I2 = 0.0% (p = 0.592), and for PJI was I2 = 0.0% (p = 0.422). Egger's linear regression test showed no significant publication bias (p > 0.05).

CONCLUSIONS

Malnutrition is a significant risk factor for SSIs and potentially PJIs in patients undergoing TJA. Preoperative optimization strategies targeted at malnourished patients are suggested to minimize postoperative complications clinically.

Preoperative frailty and postoperative complications after non-cardiac surgery: a systematic review

OBJECTIVE

Many tools have been used to assess frailty in the perioperative setting. However, no single scale has been shown to be the most effective in predicting postoperative complications. We evaluated the relationship between several frailty scales and the occurrence of complications following different non-cardiac surgeries.

METHODS

This systematic review was registered in PROSPERO (CRD42023473401). The search strategy included PubMed, Google Scholar, and Embase, covering manuscripts published from January 2000 to July 2023. We included prospective and retrospective studies that evaluated frailty using specific scales and tracked patients postoperatively. Studies on cardiac, neurosurgical, and thoracic surgery were excluded because of the impact of underlying diseases on patients' functional status. Narrative reviews, conference abstracts, and articles lacking a comprehensive definition of frailty were excluded.

RESULTS

Of the 2204 articles identified, 145 were included in the review: 7 on non-cardiac surgery, 36 on general and digestive surgery, 19 on urology, 22 on vascular surgery, 36 on spinal surgery, and 25 on orthopedic/trauma surgery. The reviewed manuscripts confirmed that various frailty scales had been used to predict postoperative complications, mortality, and hospital stay across these surgical disciplines.

CONCLUSION

Despite differences among surgical populations, preoperative frailty assessment consistently predicts postoperative outcomes in non-cardiac surgeries.

Prevalence of frailty according to the Hospital Frailty Risk Score and related factors in older patients with acute coronary syndromes in Vietnam

OBJECTIVES

(1) To investigate the prevalence of frailty defined by the Hospital Frailty Risk Score (HFRS), a new scale for assessing frailty, in older patients with acute coronary syndrome (ACS); (2) To identify associations between frailty and the prescriptions of cardiovascular medications, percutaneous coronary intervention (PCI) and in-hospital adverse outcomes.

METHODS

An observational study was conducted in patients aged older than 60 years with ACS at Thong Nhat Hospital from August to December 2022. The Hospital Frailty Risk Score is retrospectively calculated for all participants based on ICD-10 codes, and those with HFRS scores ≥5 were defined as frail. Logistic regression models were applied to examine the relationship between frailty and the study outcomes.

RESULTS

There were 511 participants in the study. The median age was 72.7, 60% were male and 29% were frail. Frailty was associated with lower odds of beta-blocker use at admission (OR .49 95% CI .25-.94), treatment with PCI during hospitalisation (OR .48, 95% CI .30-.75), but did not show an association with prescriptions of cardiovascular drugs at discharge. Frailty was significantly associated with increased odds of adverse outcomes, including major bleeding (OR 4.07, 95% CI1.73-9.54), hospital-acquired pneumonia (OR 2.55, 95% CI 1.20-5.42), all-cause in-hospital mortality (OR 3.14, 95% CI 1.37-7.20) and non-cardiovascular in-hospital mortality (OR 10.73, 95% CI 1.93-59.55).

CONCLUSIONS

The HFRS was an effective tool for stratifying frailty and predicting adverse health outcomes in older patients with ACS. Further research is needed to compare the HFRS with other frailty assessment tools in this population.

Impressive Short-Term Improvement in Functional Outcome and Quality of Life after Primary Total Hip Arthroplasty (THA) in the Orthogeriatric Patient in a Prospective Monocentric Trial

Background/Objectives: Osteoarthritis (OA) represents the most frequent chronic joint disease worldwide. Facing an aging population, resulting from the demographic change, the number of primary total hip arthroplasties (THA) will further increase. Although the geriatric patient strongly differs from the younger one, the current literature on elective orthopedic surgery in the geriatric patient is scarce. This work analyses, whether geriatric patients receiving primary THA significantly improve in terms of their (1) mobility and functional outcome and (2) health-related quality of life at four to six weeks as well as three months postoperatively. Methods: In a prospective study design, we analyzed 101 geriatric patients with osteoarthritis of the hip receiving primary THA. The study is part of the ongoing "Special Orthopaedic Geriatrics" (SOG) trial, which is funded by the German Federal Joint Committee (GBA). In addition to a preoperative comprehensive geriatric assessment (CGA), the Western Ontario and McMaster Universities Arthritis Index (WOMAC) and the EQ5D-5L were imposed preoperatively (t0), at four to six weeks (t1), and at three months (t2) postoperatively. Results: The 101 enrolled patients had a mean age of 78.1 ± 4.9 years. The total WOMAC score and almost all subcategories significantly improved at four to six weeks as well as three months postoperatively in comparison to the preoperative results (p < 0.001). The same was observed for the EQ-5D-5L, showing significant improvement in overall health at both time points (p < 0.001) and all subcategories (p < 0.05). Conclusions: This study implies that a geriatric patient benefits as much from elective primary THA as a younger patient. However, the preoperative comprehensive geriatric assessment with screening for risk factors is of utmost importance. Regarding the aging population, a lot of effort is needed to obtain more knowledge about geriatric patients receiving elective orthopedic surgery.

Patient Frailty is Correlated With Increased Adverse Events and Costs After Revision Total Hip Arthroplasty

BACKGROUND

Frailty has been associated with poor outcomes and higher costs after primary total hip arthroplasty. However, frailty has not been studied in relation to outcomes after revision total hip arthroplasty (rTHA). This study examined the relationship between the Hospital Frailty Risk Score (HFRS), postoperative outcomes, and cost profiles following rTHA.

METHODS

In this retrospective cohort study, we identified patients who underwent rTHA from January 2017 to November 2019 in the Nationwide Readmission Database. The 3 most frequently reported diagnosis codes for rTHA were then selected: dislocation; mechanical loosening; and infection. We calculated the HFRS for each patient to determine frailty status. We compared 30-day readmission rate, length of stay, and hospitalization cost between frail and nonfrail patients, using multivariate logistic and negative binomial regressions to adjust for covariates. We identified 36,243 total patients who underwent rTHA. Overall, 15,448 patients had a revision for dislocation, 11,062 for mechanical loosening, and 9,733 for infection.

RESULTS

Compared to nonfrail patients, frail patients had higher rates of 30-day readmission, longer length of stay, and higher hospitalization cost. Frail patients had significantly higher rates of 30-day complication and 30-day reoperation.

CONCLUSIONS

Frailty, measured using HFRS, is associated with increased postoperative complications and costs after rTHA. The HFRS has the ability to efficiently identify frail patients at-risk for perioperative complications enabling care teams to better focus optimization interventions on this patient cohort.

[Risk and complication profiles of orthogeriatric patients in elective hip and knee joint replacement]

BACKGROUND

The care of geriatric patients undergoing elective orthopedic surgery is becoming increasingly more important due to demographic trends. Compared to geriatric traumatology, however, there are still no established orthogeriatric care models in Germany and therefore hardly any scientific data. The aim of this study was to describe the risk and complication profiles in older patients with elective hip and knee replacements.

METHODS

In a prospective study data were collected from orthogeriatric patients with indications for elective hip and knee replacement surgery who fulfilled defined inclusion and exclusion criteria between January 2021 and August 2023 in the orthopedic department of a German university hospital for the descriptive analysis of risk and complication profiles. In addition to a preoperative and perioperative data analysis, a follow-up was conducted 4-6 weeks and 3 months postoperatively.

RESULTS

The surgical risk profile of the patient population analyzed was characterized by advanced age (78.4 ± 4.8 years), preobesity/obesity (76%), multimorbidity (7.4 ± 3.1 comorbidities), polypharmacy (7.5 ± 3.8 medications), immobility (short physical performance battery 7.1 ± 2.6), prefrailty/frailty (87%), frequent anticoagulation (22%) and a high number of potentially inappropriate medications (64%). Complication events mainly occurred within the first 7 days postoperatively and 90% of the events within this recording period were minor complications. The overall complication rate significantly decreased in the follow-up period.

CONCLUSION

Due to the high risk and complication profiles the routine use of orthogeriatric co-management models for elective orthopedic surgery should be considered in the future.

Are frailty scores superior to the ASA score in predicting complications, hospital stay, and readmissions in total knee replacement? A comparative study between octogenarian and septuagenarian patients

BACKGROUND AND OBJECTIVE

Frailty scores have not been standardized for the preoperative assessment of patients undergoing total knee replacement (TKR). The aim of this study was to compare the efficacy of the American Society of Anesthesiology (ASA) score, the Charlson comorbidity index (ICC) and the simple frailty score (SSF) in predicting complications, hospital stay, readmissions and mortality after elective TKR.

MATERIALS AND METHODS

We retrospectively studied 448 patients who underwent TKR for osteoarthritis at our institution between 2016 and 2019. They were divided into two groups: Group A (263 patients, <80 years) and Group B (185 patients, >80 years).). All were classified by ASA, ICC and SSF scores.

RESULTS

The ICC was higher in Group B (median 5 [RI: 4-6] vs. 4 [RI: 3-5]; P<.001); however, it was not associated with a higher number of complications. When performing a logistic regression analysis we found, for complications: OR SSF=0.67, ICC=1.11; ASA 3 & 4=0.89 and age=1.04; while for readmissions: OR SSF=2.09; ICC=1.01; ASA 3 & 4=0.79 and age=1.

CONCLUSIONS

The ICC and SSF scales showed no differences to the ASA scale in the prediction of readmissions, complications and hospital stay. However, the SSF seems to have a better correlation in predicting unplanned readmission.

The Hospital Frailty Risk Score Independently Predicts Postoperative Outcomes in Glioblastoma Patients

OBJECTIVE

The Hospital Frailty Risk Score (HFRS) is a tool for quantifying patient frailty using International Classification of Diseases, Tenth Revision codes. This study aimed to determine the utility of the HFRS in predicting surgical outcomes after resection of glioblastoma (GBM) and compare its prognostic ability with other validated indices such as American Society of Anesthesiologists score and Charlson Comorbidity Index.

METHODS

A retrospective analysis was conducted using a GBM patient database (2017-2019) at a single institution. HFRS was calculated using International Classification of Diseases, Tenth Revision codes. Bivariate logistic regression was used to model prognostic ability of each frailty index, and model discrimination was assessed using area under the receiver operating characteristic curve. Multivariate linear and logistic regression models were used to assess for significant associations between HFRS and continuous and binary postoperative outcomes, respectively.

RESULTS

The study included 263 patients with GBM. The HFRS had a significantly greater area under the receiver operating characteristic curve compared with American Society of Anesthesiologists score (P = 0.016) and Charlson Comorbidity Index (P = 0.037) for predicting 30-day readmission. On multivariate analysis, the HFRS was significantly and independently associated with hospital length of stay (P = 0.0038), nonroutine discharge (P = 0.018), and 30-day readmission (P = 0.0051).

CONCLUSIONS

The HFRS has utility in predicting postoperative outcomes for patients with GBM and more effectively predicts 30-day readmission than other frailty indices. The HFRS may be used as a tool for optimizing clinical decision making to reduce adverse postoperative outcomes in patients with GBM.

[Translated article] Are frailty scores superior to the ASA score in predicting complications, hospital stay, and readmissions in total knee replacement? A comparative study between octogenarian and septuagenarian patients

BACKGROUND AND OBJECTIVE

Frailty scores have not been standardised for the preoperative assessment of patients undergoing total knee replacement (TKR). The aim of this study was to compare the efficacy of the American Society of Anesthesiology (ASA) score, the Charlson comorbidity index (ICC) and the simple frailty score (SSF) in predicting complications, hospital stay, readmissions and mortality after elective TKR.

MATERIALS AND METHODS

We retrospectively studied 448 patients who underwent TKR for osteoarthritis at our institution between 2016 and 2019. They were divided into two groups: Group A (263 patients, <80 years) and Group B (185 patients, >80 years).). All were classified by ASA, ICC and SSF scores.

RESULTS

The ICC was higher in Group B (median 5 [RI: 4-6] vs. 4 [RI: 3-5]; p<.001); however, it was not associated with a higher number of complications. When performing a logistic regression analysis we found, for complications: OR SSF=0.67; ICC=1.11; ASA 3 & 4=0.89 and age=1.04; while for readmissions: OR SSF=2.09; ICC=1.01; ASA 3 & 4=0.79 and age=1.

CONCLUSIONS

The ICC and SSF scales showed no differences to the ASA scale in the prediction of readmissions, complications and hospital stay. However, the SSF seems to have a better correlation in predicting unplanned readmission.

[SOG-Special Orthopedic Geriatrics : First interim results of a randomized controlled study on integrated orthogeriatric care in elective hip and knee arthroplasty]

BACKGROUND

To date, there are no adequate care concepts for geriatric patients undergoing elective orthopaedic surgery in Germany. The Special Orthopaedic Geriatrics (SOG) study evaluates for the first time in Germany the impact of comprehensive orthogeriatric co-management on the outcome of elderly patients with elective hip and knee replacements compared to standard orthopaedic care.

METHODS

The interim analysis of the ongoing study included 174 patients; 87 patients were randomized to the intervention group and 87 to the control group. The SOG care model consists of screening, preoperative assessment with preoperative intervention, fast-track surgery and multimodal perioperative care in the orthogeriatric team. The control group received standard orthopaedic care. Mobility, complications, and patient-reported outcome measures after surgery were compared.

RESULTS

The SOG group showed a clinically relevant improvement in mobility postoperatively compared to the control group at all time points (p < 0.01). The evaluation of complications showed a significant risk reduction for minor complications (p < 0.01), as well as a clear trend towards a risk reduction for major complications. Patient-reported outcome measures showed a significant improvement in joint function and general health-related quality of life both in the SOG group and the control group.

CONCLUSION

Integrated orthogeriatric care models such as SOG could improve the care of geriatric patients in elective orthopaedic surgery in the future and, above all, make it safer.

Bone Mineral Density is Associated With Adverse Events but not Patient-Reported Outcomes in Total Hip and Knee Arthroplasty

BACKGROUND

Although osteoporosis is common in patients undergoing elective total hip arthroplasty (THA) and total knee arthroplasty (TKA), its impact on postoperative outcomes has been inadequately studied. The purpose of this study was to evaluate the impact of bone mineral density (BMD) on adverse events and patient-reported outcomes in THA and TKA.

METHODS

A series of 1,306 THA and 1,046 TKA patients who had received osteodensitometry were analyzed retrospectively. Rates of readmission, complication, transfusion, and patient-reported outcome were correlated with BMD. Multivariable logistic regression models were used to assess the relationship between osteoporosis and adverse events.

RESULTS

Osteoporosis patients showed higher rates of 90-day readmission (THA: 8.5% versus 4.0%, P = .02; TKA: 8.9% versus 4.4%, P = .04) and transfusion (THA: 6.8% versus 1.2%, P < .001; TKA: 5.4% versus 1.5%, P = .005). After THA, rates of complications requiring intensive care management (5.1% versus 0.7%, P < .001) and rates of medical complications (3.5% versus 0.6%, P = .001) were increased. After TKA, rates of surgical complications (2.8% versus 0.8%, P = .04) were increased. Postoperatively, osteoporosis patients improved to comparable patient-reported outcomes as patients who had normal BMD. Multivariable logistic regression analyses revealed osteoporosis as an independent risk factor for readmissions, complications, and transfusions.

CONCLUSION

Osteoporosis is a risk factor for adverse events after THA and TKA. Affected patients show similar improvement of patient-reported outcome compared to patients who have normal BMD. As osteoporosis is modifiable, a systematic screening of patients scheduled for THA or TKA should be discussed.

The impact of primary total hip and knee replacement on frailty: an observational prospective analysis

BACKGROUND

Osteoarthritis is a prevalent condition in frail older adults that requires hip or knee replacement in many patients. The aim of the study was to determine the impact of hip and knee arthroplasty on frailty.

METHODS

In this prospective short-term study, we used data from 101 participants of the ongoing Special Orthopaedic Geriatrics (SOG) trial, funded by the German Federal Joint Committee (GBA). Frailty, measured by Fried's Physical Frailty Phenotype (PFP), was assessed preoperatively, 7 days postoperatively, 4-6 weeks and 3 months after hip and knee arthroplasty. ANOVA with repeated measures and post-hoc tests for the subgroups were used for the statistical analysis.

RESULTS

Of the 101 participants, 50 were pre-frail (1-2 PFP criteria) and 51 were frail (≥ 3 PFP criteria) preoperatively. In the pre-frail group, the PFP score decreased from 1.56 ± 0.50 (median 2) preoperatively to 0.53 ± 0.73 (median 0) 3 months after surgery (p < 0.001). The PFP score in the frail cohort decreased from 3.39 ± 1.45 (median 3) preoperatively to 1.27 ± 1.14 (median 1) 3 months postoperatively (p < 0.001). While the PFP score of the pre-frail participants increased 7 days after surgery, the PFP score of the frail group decreased significantly.

CONCLUSION

Pre-frail individuals often regain robustness and patients with frailty are no longer assessed as frail after surgery. Joint replacement is an effective intervention to improve frailty in hip and knee osteoarthritis.

TRIAL REGISTRATION

This study is part of the Special Orthopaedic Geriatrics (SOG) trial, German Clinical Trials Register DRKS00024102. Registered on 19 January 2021.

Age-Adjusted Modified Frailty Index Predicts 30-Day Complications and Mortality in Aseptic Revision Total Hip and Knee Arthroplasty

BACKGROUND

The age-adjusted modified frailty index (aamFI) has been demonstrated to effectively predict postoperative complications and healthcare resource utilization in patients undergoing primary total joint arthroplasty. The purpose of this study was to evaluate the applicability of aamFI in patients undergoing aseptic revision total hip (rTHA) and knee arthroplasty (rTKA).

METHODS

A national database was queried for patients undergoing aseptic rTHA and rTKA from 2015 to 2020. A total of 13,307 rTHA and 18,762 rTKA cases were identified. The aamFI was calculated by adding 1 additional point for age ≥73 years to the previously described 5-item modified frailty index (mFI-5). The area under the curve was calculated and compared to compare predictive accuracy between mFI-5 and aamFI. Logistic regression was used to investigate the relationship between aamFI and 30-day complications.

RESULTS

The incidence of incurring any (≥1) complication increased from 15% for aamFI 0 to 45% for aamFI ≥5 after rTHA and from 5 to 55% after rTKA. Patients who had an aamFI ≥3 (reference aamFI = 0) had increased odds (rTHA: odds ratio (OR) 3.5, 95% confidence interval (CI) 2.9 to 4.1, P < .001; rTKA: OR 4.2, 95% CI 4.4 to 5.1, P < .001) of incurring at least 1 complication. The aamFI, compared to mFI-5, was a more accurate predictor of any complication (rTHA P < .001; rTKA P < .001) and 30-day mortality (rTHA P < .001; rTKA P < .003).

CONCLUSION

The aamFI is an excellent predictor of complications in patients undergoing rTHA and rTKA. The addition of chronological age to the previously described mFI-5 improves the predictive value of this simple metric.

[Outcome of joint replacement in patients with underlying rheumatoid disease]

BACKGROUND

Artificial joint replacement is a meaningful treatment option for patients with advanced rheumatic degenerative joint diseases. The aim of this study was to investigate the influence of the underlying rheumatic diseases on postoperative complications and patient-reported outcome (PRO) after elective total joint replacement (TJR).

MATERIAL AND METHODS

In a retrospective analysis of 9149 patients with elective total knee or total hip arthroplasty (TKR and THR), complication rates and PRO of patients with and without rheumatic diseases (RD) were compared. Multivariate logistic regression models were used to determine whether the underlying rheumatic disease was an independent risk factor for various complications.

RESULTS

In the univariate analyses the RD patients had an increased risk of medical complications (7.1% vs. 5.2%; p = 0.028) and Clavien-Dindo grade IV complications (2.8% vs. 1.8%; p = 0.048) after TJR. This was confirmed in multivariate statistical analyses (p < 0.034). The rates for operative revisions and surgical complications were comparable (2.5% vs. 2.4%; p = 0.485). Analysis of the PRO showed a higher responder rate in patients with RD after TKR (91.9% vs. 84.5%, p = 0.039). In contrast, the responder rate in patients with RD after THR was comparable (93.4% vs. 93.2%, p = 0.584).

CONCLUSION

Despite increased postoperative complication rates, patients with underlying rheumatic diseases showed a comparable outcome 1 year after TJR. After TKR the RD patients showed even higher responder rates. Although RD patients are a vulnerable patient group, they can still benefit from joint replacement.

Concomitant malnutrition and frailty are significant risk factors for poor outcome following two-stage revision for chronic periprosthetic joint infection

BACKGROUND

Two-stage revision remains the gold standard for periprosthetic joint infection (PJI) treatment. Although previous studies have examined malnutrition and frailty independently, their cumulative effects are not clear. Therefore, this study aimed to assess the individual and combined influence of malnutrition and frailty on the two-stage revision surgery.

METHODS

Patients with chronic PJI undergoing two-stage revision were retrospectively included. The definition of PJI is completely consistent with the evidence-based definition of PJI recorded by the MSIS in 2018. Preoperative serum albumin levels and 11-item modified frailty index scores were collected. Four cohorts were created: (1) Normal (N), (2) Frail (F), (3) Malnourished (M), and (4) Malnourished and frail (MF). Demographic data, comorbidities, and postoperative complications were collected and compared between the four cohorts.

RESULTS

A total of 117 consecutive patients were enrolled, 48% of patients were healthy (27.4% F, 16.2% M, and 9.4% MF). MF group showed lower scores on the physical composite scale of the 12-item short-form health survey (SF12-PCS), mental composite summary (SF12-MCS), Harris hip score (HHS), and knee society score (KSS) (P < 0.05). The incidence of reinfection in the MF group was higher than that in all other groups (MF vs. N; odds ratio [OR] 3.7, 95% confidence interval [CI] 1.37 - 8.82, P = 0.032). The incidence of complications in the MF group was higher than that in all other groups (MF vs. N; OR 4.81, 95% CI 1.58-9.26, P = 0.018). Postoperative transfusion events (OR 2.92, 95% CI 1.27-3.09, P = 0.021), readmission at 60 days after the operation (OR 4.91, 95% CI 1.82-13.80, P = 0.012) was higher in the MF patients. In addition, the extended length of stay after the operation was highest in the MF patients, with an OR of 5.78 (95% CI 2.16-12.04, P = 0.003).

CONCLUSION

The concurrent presence of concomitant malnutrition and frailty in patients with PJI is related to poor prognosis and may be a predictor of the efficacy of two-stage revision. Future research will be needed to describe the benefits of improving these risk factors for patients with PJI.

Association of open globe injury characteristics with outcome measures in the emergency department

PURPOSE

To evaluate the association of demographic and clinical features of emergency department (ED) patients presenting with open globe injuries (OG) with outcomes such as inpatient admission rate, length of stay (LOS), and total cost.

METHODS

The Nationwide Emergency Department Sample database 2018 and 2019 was used to analyze the association of demographic and clinical features of OG patients with outcome measures.

RESULTS

8404 OG patients were identified. Medicaid patients were associated with higher ED costs and a higher frequency of extended LOS. The 70+ age group was associated with higher inpatient admission. Frail patients were associated with significantly increased likelihood of inpatient admission, higher likelihood of extended LOS and higher total combined ED cost. Falls and being struck were associated with shorter LOS.

CONCLUSION

This study describes the most common demographic and clinical characteristics of OGIs that present to the ED, as well as the association of these characteristics with outcome measures such as inpatient admission rates, LOS, and total cost. The study further identified potential high-risk patients for prolonged length of stay. The findings will better optimize patient care protocols to improve outcomes.

The Impact of Frailty on Outcomes Following Primary Total Hip Arthroplasty in Patients of Different Sex and Race: Is Frailty Equitably Detrimental?

BACKGROUND

Whether frailty impacts total hip arthroplasty (THA) patients of different races or sex equally is unknown. This study aimed to assess the influence of frailty on outcomes following primary THA in patients of differing race and sex.

METHODS

This is a retrospective cohort study utilizing a national database (2015-2019) to identify frail (≥2 points on the modified frailty index-5) patients undergoing primary THA. One-to-one matching for each frail cohort of interest (race: Black, Hispanic, Asian, versus White (non-Hispanic), respectively; and sex: men versus women) was performed to diminish confounding. The 30-day complications and resource utilizations were then compared between cohorts.

RESULTS

There was no difference in the occurrence of at least 1 complication (P > .05) among frail patients of differing race. However, frail Black patients had increased odds of postoperative transfusion (odds ratio [OR]: 1.34, 95% confidence interval [CI]: 1.02-1.77), deep vein thrombosis (OR: 2.61, 95% CI: 1.08-6.27), as well as >2-day hospitalization and nonhome discharge (P < .001). Frail women had higher odds of having at least 1 complication (OR: 1.67, 95% CI: 1.47-1.89), nonhome discharge, readmission, and reoperation (P < .05). Contrarily, frail men had higher 30-day cardiac arrest (0.2% versus 0.0%, P = .020) and mortality (0.3 versus 0.1%, P = .002).

CONCLUSION

Frailty appears to have an overall equitable influence on the occurrence of at least 1 complication in THA patients of different races, although different rates of some individual, specific complications were identified. For instance, frail Black patients experienced increased deep vein thrombosis and transfusion rates relative to their non-Hispanic White counterparts. Contrarily, frail women, relative to frail men, have lower 30-day mortality despite increased complication rates.

A comparative analysis of the Hospital Frailty Risk Score in predicting postoperative outcomes among intracranial tumor patients

OBJECTIVE

In recent years, frailty indices such as the 11- and 5-factor modified frailty indices (mFI-11 and mFI-5), American Society of Anesthesiologists (ASA) physical status classification, and Charlson Comorbidity Index (CCI) have been shown to be effective predictors of various postoperative outcomes in neurosurgical patients. The Hospital Frailty Risk Score (HFRS) is a well-validated tool for assessing frailty; however, its utility has not been evaluated in intracranial tumor surgery. In the present study, the authors investigated the accuracy of the HFRS in predicting outcomes following intracranial tumor resection and compared its utility to those of other validated frailty indices.

METHODS

A retrospective analysis was conducted using an intracranial tumor patient database at a single institution. Patients eligible for study inclusion were those who had undergone resection for an intracranial tumor between January 1, 2017, and December 31, 2019. ICD-10 codes were used to identify HFRS components and subsequently calculate risk scores. In addition to several postoperative variables, ASA class, CCI, and mFI-11 and mFI-5 scores were determined for each patient. Model discrimination was assessed using the area under the receiver operating characteristic curve (AUROC), and the DeLong test was used to assess for significant differences between AUROCs. Multivariate models for continuous outcomes were constructed using linear regression, whereas logistic regression models were used for categorical outcomes.

RESULTS

A total of 2518 intracranial tumor patients (mean age 55.3 ± 15.1 years, 53.4% female, 70.4% White) were included in this study. The HFRS had a statistically significant greater AUROC than ASA status, CCI, mFI-11, and mFI-5 for postoperative complications, high hospital charges, nonroutine discharge, and 90-day readmission. In the multivariate analysis, the HFRS was significantly and independently associated with postoperative complications (OR 1.14, p < 0.0001), hospital length of stay (coefficient = 0.50, p < 0.0001), high hospital charges (coefficient = 1917.49, p < 0.0001), nonroutine discharge (OR 1.14, p < 0.0001), and 90-day readmission (OR 1.06, p < 0.0001).

CONCLUSIONS

The study findings suggest that the HFRS is an effective predictor of postoperative outcomes in intracranial tumor patients and more effectively predicts adverse outcomes than other frailty indices. The HFRS may serve as an important tool for reducing patient morbidity and mortality in intracranial tumor surgery.

Frailty is Associated With Increased Complication, Readmission, and Hospitalization Costs Following Primary Total Knee Arthroplasty

BACKGROUND

Frailty has been associated with poor postoperative outcomes in various medical conditions and surgical procedures. However, the relationship between frailty and outcomes after primary total knee arthroplasty (TKA) has not been well-described. This study investigated the association of the Hospital Frailty Risk Score (HFRS) with postoperative events and hospitalization costs after primary TKA.

METHODS

Using a nationwide readmissions database, we identified 884,479 patients discharged after primary TKA for osteoarthritis between January 2017 and November 2019. HFRS was calculated for each patient to determine frailty status. We used multivariate logistic regressions to evaluate the association of frailty with 30-readmission rate and negative binomial regressions to evaluate lengths of hospital stay and hospitalization costs. The 30-day reoperation and complication rates were compared using chi-square tests.

RESULTS

Frailty was associated with increased odds of 30-day readmissions (odds ratio [OR]: 1.89, 95% confidence interval [CI]: 1.82-1.96), longer lengths of stay (OR: 1.43, 95% CI: 1.43-1.44), and higher hospitalization costs (OR: 1.16, 95% CI: 1.16-1.17). Frail patients also had significantly higher rates of 30-day reoperations (0.6 versus 0.4%), surgical complications (0.6 versus 0.4%), medical complications (3.4 versus 1.3%), and other complications (0.9 versus 0.5%) (P < .01).

CONCLUSIONS

Frailty, as measured using HFRS, was associated with increased adverse events and health care burdens in patients undergoing TKA. The HFRS could be used to swiftly identify high-risk patients undergoing TKA and to potentially help optimize patients prior to elective TKA.

TYPE OF STUDY

Level III retrospective cohort study.

Preoperative Decolonization Appears to Reduce the Risk of Infection in High-Risk Groups Undergoing Total Hip Arthroplasty

BACKGROUND

Periprosthetic infections represent a major challenge for doctors and patients. The aim of this study was therefore to determine whether the risk of infection can be positively influenced by preoperative decolonization of the skin and mucous membranes.

METHODS

In a retrospective analysis of 3082 patients who had undergone THA between 2014 and 2020, preoperative decolonization with octenidine dihydrochlorid was performed in the intervention group. In an interval of 30 days, soft tissue and prosthesis infections were detected, and an evaluation between the study groups was made by using a bilateral t-test regarding the presence of an early infection. The study groups were identical with regard to the ASA score, comorbidities, and risk factors.

RESULTS

Patients treated preoperatively with the octenidine dihydrochloride protocol showed lower early infection rates. In the group of intermediate- and high-risk patients (ASA 3 and higher), there was generally a significantly increased risk. The risk of wound or joint infection within 30 days was 1.99% higher for patients with ASA 3 or higher than for patients with standard care (4.11% [13/316] vs. 2.02% [10/494]; p = 0.08, relative risk 2.03). Preoperative decolonization shows no effect on the risk of infection that increases with age, and a gender-specific effect could not be detected. Looking at the body mass index, it could be shown that sacropenia or obesity leads to increased infection rates. Preoperative decolonization led to lower infection rates in percentage terms, which, however, did not prove to be significant (BMI < 20 1.98% [5/252] vs. 1.31% [5/382], relative risk 1.43, BMI > 30 2.58% [5/194] vs. 1.20% [4/334], relative risk 2.15). In the spectrum of patients with diabetes, it could be shown that preoperative decolonization leads to a significantly lower risk of infection (infections without protocol 18.3% (15/82), infections with protocol 8.50% (13/153), relative risk 2.15, p = 0.04.

CONCLUSION

Preoperative decolonization appears to show a benefit, especially for the high-risk groups, despite the fact that in this patient group there is a high potential for resulting complications.

Association between frailty and clinical post-operative outcomes in patients following hip arthroplasty: a systematic review and meta-analysis

PURPOSE

This research determined the correlation between frailty and post-surgical complications, readmission, re-operation, and mortality in patients with hip arthroplasty through a meta-analysis.

METHODS

We screened PubMed, Web of Science, Embase, and the Cochrane Library for cohort research that explored the correlation between frailty and post-operative complications in patients who underwent hip arthroplasty from inception to August 31, 2022. The Newcastle-Ottawa scale was employed to assess the value of the involved studies. Statistical analyses of the meta-analysis were conducted utilizing Review Manager, version 5.3.

RESULTS

This research involved seven retrospective investigations involving 350,971 patients. The summed findings revealed that frailty is associated with total complications (relative risk [RR] = 3.07, 95% confidence interval [CI]:1.99-4.74), re-operation (RR = 1.98; 95% CI: 1.73-2.28), readmission (RR = 2.04; 95% CI: 1.87-2.22), and 30-day mortality (RR = 2.59, 95% CI: 1.16-5.79). Subgroup and sensitivity analyses revealed that the pooled findings of frailty predict that total complications, re-operation, readmission, and 30-day mortality were stable.

CONCLUSIONS

Pre-operative frailty was correlated with post-surgical complications in patients who underwent hip arthroplasty, including post-operative complications, re-operation, readmission, and 30-day mortality.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO, identifier: CRD 42022350781.

Higher Hospital Frailty Risk Score is associated with increased complications and healthcare resource utilization after endovascular treatment of ruptured intracranial aneurysms

AIM

To use the Hospital Frailty Risk Score (HFRS) to investigate the impact of frailty on complication rates and healthcare resource utilization in patients who underwent endovascular treatment of ruptured intracranial aneurysms (IAs).

METHODS

A retrospective cohort study was performed using the 2016-2019 National Inpatient Sample database. All adult patients (≥18 years) undergoing endovascular treatment for IAs after subarachnoid hemorrhage were identified using ICD-10-CM codes. Patients were categorized into frailty cohorts: low (HFRS <5), intermediate (HFRS 5-15) and high (HFRS >15). Patient demographics, adverse events, length of stay (LOS), discharge disposition, and total cost of admission were assessed. Multivariate logistic regression analysis was used to identify independent predictors of prolonged LOS, increased cost, and non-routine discharge.

RESULTS

Of the 33 840 patients identified, 7940 (23.5%) were found to be low, 20 075 (59.3%) intermediate and 5825 (17.2%) high frailty by HFRS criteria. The rate of encountering any adverse event was significantly greater in the higher frailty cohorts (low: 59.9%; intermediate: 92.4%; high: 99.2%, p<0.001). There was a stepwise increase in mean LOS (low: 11.7±8.2 days; intermediate: 18.7±14.1 days; high: 26.6±20.1 days, p<0.001), mean total hospital cost (low: $62 888±37 757; intermediate: $99 670±63 446; high: $134 937±80 331, p<0.001), and non-routine discharge (low: 17.3%; intermediate: 44.4%; high: 69.4%, p<0.001) with increasing frailty. On multivariate regression analysis, a similar stepwise impact was found in prolonged LOS (intermediate: OR 2.38, p<0.001; high: OR 4.49, p<0.001)], total hospital cost (intermediate: OR 2.15, p<0.001; high: OR 3.62, p<0.001), and non-routine discharge (intermediate: OR 2.13, p<0.001; high: OR 4.17, p<0.001).

CONCLUSIONS

Our study found that greater frailty as defined by the HFRS was associated with increased complications, LOS, total costs, and non-routine discharge.

The Impact of Frailty Is Age Dependent in Patients Undergoing Primary Total Knee Arthroplasty: The Age-Adjusted Modified Frailty Index

BACKGROUND

Frailty is a well-established risk factor in patients undergoing total knee arthroplasty (TKA). How age modifies the impact of frailty on outcomes in these patients, however, remains unknown. In this study, we aimed to describe and evaluate the applicability of a novel risk stratification tool-the age-adjusted modified Frailty Index (aamFI)-in patients undergoing TKA.

METHODS

A national database was queried for all patients undergoing primary TKA from 2015 to 2019. There were 271,271 patients who met inclusion criteria for this study. First, outcomes were compared between chronologically young and old frail patients. In accordance with previous studies, the 75th percentile of age of all included patients (73 years) was used as a binary cutoff. Then, frailty was classified using the novel aamFI, which constitutes the 5-item mFI with the addition of 1 point for patients ≥73 years. Multivariable logistic regressions were then used to investigate the relationship between aamFI and postoperative outcomes.

RESULTS

Frail patients ≥73 years had a higher incidence of complications compared to frail patients <73 years. There was a strong association between aamFI and complications. An aamFI of ≥3 (reference aamFI of 0) was associated with an increased odds of 30-day mortality (odds ratio [OR] 8.6, 95% CI 5.0-14.8), any complication (OR 3.1, 95% CI 2.9-3.3), deep vein thrombosis (OR 1.5, 95% CI 1.2-1.8), and nonhome discharge (OR 6.1, 95% CI 5.8-6.4; all P < .001).

CONCLUSION

Although frailty negatively influences outcomes following TKA in patients of all ages, chronologically old, frail patients are particularly vulnerable. The aamFI accounts for this and represents a simple, but powerful tool for stratifying risk in patients undergoing primary TKA.

Frailty among older surgical patients and risk of hospital acquired adverse events: The South-Western Sydney frailty and nurse sensitive indicators study

BACKGROUND

While advances in healthcare mean people are living longer, increasing frailty is a potential consequence of this. The relationship between frailty among older surgical patients and hospital acquired adverse events has not been extensively explored. We sought to describe the relationship between increasing frailty among older surgical patients and the risk of hospital acquired adverse events.

METHODS

We included consecutive surgical admissions among patients aged 70 years or more across the SWSLHD between January 2010 and December 2020. This study used routinely collected ICD-10-AM data, obtained from the government maintained Admitted Patient Data Collection. The relationships between cumulative frailty deficit items and risk of hospital acquired adverse events were assessed using Poisson regression modelling. This study followed the RECORD/STROBE guidelines.

RESULTS

During the study period, 44,721 (57% women) older adults were admitted, and 41% (25,306) were planned surgical admissions. The risk of all adverse events increased with increasing number of frailty deficit items, the highest deficit items group (4-12 deficit items) compared with the lowest deficit items group (0 or 1 deficit item): falls adjusted rate ratio (adj RR) = 15.3, (95% confidence interval (CI) 12.1, 19.42); pressure injury adj RR = 21.3 (95% CI 12.53, 36.16); delirium adj RR = 40.9 (95% CI 31.21, 53.55); pneumonia adj RR = 16.5 (95% CI 12.74, 21.27); thromboembolism adj RR = 17.3 (95% CI 4.4, 11.92); and hospital mortality adj RR = 6.2 (95% CI 5.18, 7.37).

CONCLUSION

The increase in number of cumulative frailty deficit items among older surgical patients was associated with a higher risk of adverse hospital events. The link offers an opportunity to clinical nursing professionals in the surgical setting, to develop and implement targeted models of care and ensure the best outcomes for frail older adults and their families.

The impact of frailty on patient-reported outcomes following hip and knee arthroplasty

AIM

to determine the impact of frailty on patient-reported outcomes following hip and knee arthroplasty.

METHODS

we used linked primary and secondary care electronic health records. Frailty was assessed using the electronic frailty index (categorised: fit, mild, moderate, severe frailty). We determined the association between frailty category and post-operative Oxford hip/knee score (OHS/OKS) using Tobit regression. We calculated the proportion of patients in each frailty category who achieved the minimally important change (MIC) in OHS (≥8 points) and OKS (≥7 points) and the proportion who reported a successful outcome (hip/knee problems either 'much better' or 'a little better' following surgery).

RESULTS

About 42,512 people who had a hip arthroplasty and 49,208 who had a knee arthroplasty contributed data. In a Tobit model adjusted for pre-operative OHS/OKS, age, sex and quintile of index of multiple deprivation, increasing frailty was associated with decreasing post-operative OHS and OKS, respectively, β-coefficient (95% CI) in severely frail versus fit, -6.97 (-7.44, -6.49) and - 5.88 (-6.28, -5.47). The proportion of people who achieved the MIC in OHS and OKS, respectively, decreased from 92 and 86% among fit individuals to 84 and 78% among those with severe frailty. Patient-reported success following hip and knee arthroplasty, respectively, decreased from 97 and 93% among fit individuals to 90 and 83% among those with severe frailty.

CONCLUSION

frailty adversely impacts on patient-reported outcomes following hip and knee arthroplasty. However, even among those with severe frailty, the large majority achieved the MIC in OHS/OKS and reported a successful outcome.

Impact of Frailty Risk on Adverse Outcomes after Traumatic Brain Injury: A Historical Cohort Study

We evaluated the utility of the Hospital Frailty Risk Score (HFRS) as a predictor of adverse events after hospitalization in a retrospective analysis of traumatic brain injury (TBI). This historical cohort study analyzed the data of patients hospitalized with TBI between April 2014 and August 2020 who were registered in the JMDC database. We used HFRS to classify the patients into the low- (HFRS < 5), intermediate- (HFRS5-15), and high- (HFRS > 15)-frailty risk groups. Outcomes were the length of hospital stay, the number of patients with Barthel Index score ≥ 95 on, Barthel Index gain, and in-hospital death. We used logistic and linear regression analyses to estimate the association between HFRS and outcome in TBI. We included 18,065 patients with TBI (mean age: 71.8 years). Among these patients, 10,139 (56.1%) were in the low-frailty risk group, 7388 (40.9%) were in the intermediate-frailty risk group, and 538 (3.0%) were in the high-frailty risk group. The intermediate- and high-frailty risk groups were characterized by longer hospital stays than the low-frailty risk group (intermediate-frailty risk group: coefficient 1.952, 95%; confidence interval (CI): 1.117−2.786; high-frailty risk group: coefficient 5.770; 95% CI: 3.160−8.379). The intermediate- and high-frailty risk groups were negatively associated with a Barthel Index score ≥ 95 on discharge (intermediate-frailty risk group: odds ratio 0.645; 95% CI: 0.595−0.699; high-frailty risk group: odds ratio 0.221; 95% CI: 0.157−0.311) and Barthel Index gain (intermediate-frailty risk group: coefficient −4.868, 95% CI: −5.599−−3.773; high-frailty risk group: coefficient −19.596, 95% CI: −22.242−−16.714). The intermediate- and high-frailty risk groups were not associated with in-hospital deaths (intermediate-frailty risk group: odds ratio 0.901; 95% CI: 0.766−1.061; high-frailty risk group: odds ratio 0.707; 95% CI: 0.459−1.091). We found that HFRS could predict adverse outcomes during hospitalization in TBI patients.

The measurements of frailty and their possible application to spinal conditions: a systematic review

BACKGROUND CONTEXT

Frailty is associated with an increased risk of postoperative adverse events (AEs) within the surgical spine population. Multiple frailty tools have been reported in the surgical spine literature. However, the applicability of these tools remains unclear.

PURPOSE

Primary objective is to appraise the construct, feasibility, objectivity, and clinimetric properties of frailty tools reported in the surgical spine literature. Secondary objectives included determining the applicability and the most sensitive surgical spine population for each tool.

STUDY DESIGN

Systematic Review.

PATIENT SAMPLE

Studies reporting the use of a clinical frailty tool with a defined methodology in the adult surgical population (age ≥18 years).

OUTCOME MEASURES

Postoperative adverse events (AEs) including mortality, major and minor morbidity, length of stay (LOS), unplanned readmission and reoperation, admission to the Intensive Care Unit (ICU), and adverse discharge disposition; postoperative patient-reported outcomes (health-related quality of life (HRQoL), functional, cognitive, and symptomatic); radiographic outcomes; and postoperative frailty trajectory.

METHODS

This systematic review was registered with PROSPERO: CRD42019109045. Publications from January 1950 to December 2020 were identified by a comprehensive search of PubMed, Ovid, and Embase, supplemented by manual screening. Studies reporting and validating a frailty tool in the surgical spine population with a measurable outcome were included. Each tool and its clinimetric properties were evaluated using validated criteria and definitions. The applicability of each tool and its most sensitive surgical spine population was determined by panel consensus. Bias was assessed using the Newcastle-Ottawa Scale.

RESULTS

47 studies were included in the final qualitative analysis. A total of 14 separate frailty tools were identified, in which 9 tools assessed frailty according to the cumulative deficit definition, while 4 instruments utilized phenotypic or weighted frailty models. One instrument assessed frailty according to the comprehensive geriatric assessment (CGA) model. Twelve measures were validated as risk stratification tools for predicting postoperative AEs, while 1 tool investigated the effect of spine surgery on postoperative frailty trajectory. The modified frailty index (mFI), 5-item mFI, adult spinal deformity frailty index (ASD-FI), FRAIL Scale, and CGA had the most positive ratings for clinimetric properties assessed.

CONCLUSIONS

The assessment of frailty is important in the surgical decision-making process. Cumulative deficit and weighted frailty instruments are appropriate risk stratification tools. Phenotypic tools are sensitive for capturing the relationship between spinal pathology, spine surgery, and prehabilitation on frailty trajectory. CGA instruments are appropriate screening tools for identifying health deficits susceptible to improvement and guiding optimization strategies. Studies are needed to determine whether spine surgery and prehabilitation are effective interventions to reverse frailty.

Interaction effects of multimorbidity and frailty on adverse health outcomes in elderly hospitalised patients

We quantified the interaction of multimorbidity and frailty and their impact on adverse health outcomes in the hospital setting. Using aretrospective cohort study of persons aged ≥ 75 years, admitted to hospital during 2010–2012 in New South Wales, Australia, and linked with mortality data, we constructed multimorbidity, frailty risk and outcomes: prolonged length of stay (LOS), 30-day mortality and 30-day unplanned readmissions. Relative risks (RR) of outcomes were obtained using Poisson models with random intercept for hospital. Among 257,535 elderly inpatients, 33.6% had multimorbidity and elevated frailty risk, 14.7% had multimorbidity only, 19.9% had elevated frailty risk only and 31.8% had neither. Additive interactions were present for all outcomes, with a further multiplicative interaction for mortality and LOS. Mortality risk was 4.2 (95% CI 4.1–4.4), prolonged LOS 3.3 (95% CI 3.3–3.4) and readmission 1.8 (95% CI 1.7–1.9) times higher in patients with both factors present compared with patients with neither. In conclusion, multimorbidity and frailty coexist in older hospitalized patients and interact to increase the risk of adverse outcomes beyond the sum of their individual effects. Their joint effect should be considered in health outcomes research and when administering hospital resources.

Frailty Is Associated With Increased 30-Day Adverse Events and Hospitalization Costs After Primary Total Hip Arthroplasty

BACKGROUND

Frailty can predict adverse outcomes for multiple medical conditions and surgeries but is not well studied in total hip arthroplasty (THA). We evaluate the association between Hospital Frailty Risk Score and postoperative events and costs after primary THA.

METHODS

Using the National Readmissions Database, we identified primary THA patients for osteoarthritis, osteonecrosis, or hip fracture from January to November 2017. Using Hospital Frailty Risk Score, we compared 30-day readmission rate, hospital course duration, and costs between frail and nonfrail patients for each diagnosis, controlling for covariates. Thirty-day complication and reoperation rates were compared using univariate analysis.

RESULTS

We identified 167,700 THAs for osteoarthritis, 5353 for osteonecrosis, and 7246 for hip fractures. Frail patients had increased 30-day readmission rates (5.3% vs 2.5% for osteoarthritis, 7.1% vs 3.3% for osteonecrosis, 8.4% vs 4.3% for fracture; P < .01), longer hospital course (3.4 vs 1.9 days for osteoarthritis, 4.1 vs 2.1 days for osteonecrosis, 6.3 vs 3.9 days for fracture; P < .01), and increased costs ($18,712 vs $16,142 for osteoarthritis, $19,876 vs $16,060 for osteonecrosis, $22,185 vs $19,613 for fracture; P < .01). Frail osteoarthritis patients had higher 30-day complication (4.4% vs 1.9%; P < .01) and reoperation rates (1.6% vs 0.93%; P < .01). Frail osteonecrosis patients had higher 30-day complication rates (5.3% vs 2.6%; P < .01). Frail hip fracture patients had higher 30-day complication (6.6% vs 3.8%; P < .01) and reoperation rates (2.9% vs 1.8%; P < .01).

CONCLUSION

Frailty is associated with increased healthcare burden and postoperative events after primary THA. Further research can identify high-risk patients and mitigate complications and costs.

[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.

Incidence, patterns and risk factors for readmission following knee arthroplasty in China: A national retrospective cohort study

BACKGROUND

Limited data exist on readmission following knee arthroplasty (KA) in countries without well-established referral or extended care systems. This study aimed to investigate the incidence, patterns and risk factors for readmission following KA in China.

MATERIAL AND METHODS

In this national retrospective cohort study, we reviewed 167,265 primary KAs registered in the Hospital Quality Monitoring System in China between 2013 and 2018. Readmissions after KA within 30 and 90 days were evaluated. The causes for readmission were identified and classified as surgical or medical. The potential risk factors of readmission were assessed using multivariable logistic regression.

RESULTS

4017 (2.4%) patients readmitted within 30 days, and 7258 (4.3%) patients readmitted within 90 days. The readmission rate exhibited a downward trend during the period from 2013 to 2018 (2.7%-2.3% for 30-day readmission; 4.5%-4.2% for 90-day readmission). Surgical causes contributed to 54.3% readmissions within 30 days and 47.3% readmissions within 90 days. Wound infection/complication, joint pain, and thromboembolism were the most frequently reported reasons for surgical readmission. Older age, male sex, single marital status, non-osteoarthritis indication, a high comorbidity index, non-provincial hospitals, low hospital volume, and longer length of stay were associated with an increased risk of readmission. The geographic regions of hospitals contributed greatly to the variety of readmissions.

CONCLUSION

The readmission rate following KA decreased from 2013 to 2018. Surgery-related causes, especially wound infection/complication and pain, accounted for a large proportion. Both patient and hospital factors were associated with readmissions. Improved primary care and targeted measures are needed to help further prevent readmissions and optimize resource utilization.

Hospital frailty risk score predicts adverse events in spine surgery

PURPOSE

The Hospital Frailty Risk Score (HFRS) is derived from routinely collected data and validated as a geriatric risk stratification tool. This study aimed to evaluate the utility of the HFRS as a predictor for postoperative adverse events in spine surgery.

METHODS

In this retrospective analysis of 2042 patients undergoing spine surgery at a university spine center between 2011 and 2019, HFRS was calculated for each patient. Multivariable logistic regression models were used to assess the relationship between the HFRS and postoperative adverse events. Adverse events were compared between patients with high or low frailty risk.

RESULTS

Patients with intermediate or high frailty risk showed a higher rate of reoperation (19.7% vs. 12.2%, p < 0.01), surgical site infection (3.4% vs. 0.4%, p < 0.001), internal complications (4.1% vs. 1.1%, p < 0.01), Clavien-Dindo IV complications (8.8% vs. 3.4%, p < 0.001) and transfusion (10.9% vs. 1.5%, p < 0.001). Multivariable logistic regression analyses revealed a high HFRS as independent risk factor for reoperation [odds ratio (OR) = 1.1; 95% confidence interval (CI) 1.0-1.2], transfusion (OR = 1.3; 95% CI 1.2-1.4), internal complications (OR = 1.2; 95% CI 1.1-1.3), surgical site infections (OR = 1.3; 95% CI 1.2-1.5) and other complications (OR = 1.3; 95% CI 1.2-1.4).

CONCLUSION

The HFRS can predict adverse events and is an easy instrument, fed from routine hospital data. By identifying risk patients at an early stage, the individual patient risk could be minimized, which leads to less complications and lower costs.

LEVEL OF EVIDENCE

Level III - retrospective cohort study TRIAL REGISTRATION: The study was approved by the local ethics committee (20-1821-104) of the University of Regensburg in February 2020.

The Age-Adjusted Modified Frailty Index: An Improved Risk Stratification Tool for Patients Undergoing Primary Total Hip Arthroplasty

BACKGROUND

Frailty and increasing age are well-established risk factors in patients undergoing total hip arthroplasty (THA). However, these variables have only been considered independently. This study assesses the interplay between age and frailty and introduces a novel age-adjusted modified frailty index (aamFI) for more refined risk stratification of THA patients.

METHODS

The American College of Surgeons National Surgical Quality Improvement Program database was queried from 2015 to 2019 for patients undergoing primary THA. First, outcomes were compared between chronologically younger and older frail patients. Then, to establish the aamFI, one additional point was added to the previously described mFI-5 for patients aged ≥73 years (the 75th percentile for age in our study population). The association of aamFI with postoperative complications and resource utilization was then analyzed categorically.

RESULTS

A total of 165,957 THA patients were evaluated. Older frail patients had a higher incidence of complications than younger frail patients. Regression analysis demonstrated a strong association between aamFI and complications. For instance, an aamFI of ≥3 (compared to aamFI of 0) was associated with an increased odds of mortality (OR: 22.01, 95% confidence interval [CI] 11.62-41.68), any complication (OR: 3.50, 95% CI 3.23-3.80), deep vein thrombosis (OR: 2.85, 95% CI 2.03-4.01), and nonhome discharge (OR 9.61, 95% CI 9.04-10.21; all P < .001).

CONCLUSION

Chronologically, older patients are impacted more by frailty than younger patients. The aamFI accounts for this and outperforms the mFI-5 in prediction of postoperative complications and resource utilization in patients undergoing primary THA.

Comparison of Electronic Frailty Metrics for Prediction of Adverse Outcomes of Abdominal Surgery

Importance

Electronic frailty metrics have been developed for automated frailty assessment and include the Hospital Frailty Risk Score (HFRS), the Electronic Frailty Index (eFI), the 5-Factor Modified Frailty Index (mFI-5), and the Risk Analysis Index (RAI). Despite substantial differences in their construction, these 4 electronic frailty metrics have not been rigorously compared within a surgical population.

Objective

To characterize the associations between 4 electronic frailty metrics and to measure their predictive value for adverse surgical outcomes.

Design, Setting, and Participants

This retrospective cohort study used electronic health record data from patients who underwent abdominal surgery from January 1, 2010, to December 31, 2020, at 20 medical centers within Kaiser Permanente Northern California (KPNC). Participants included adults older than 50 years who underwent abdominal surgical procedures at KPNC from 2010 to 2020 that were sampled for reporting to the National Surgical Quality Improvement Program.

Main Outcomes and Measures

Pearson correlation coefficients between electronic frailty metrics and area under the receiver operating characteristic curve (AUROC) of univariate models and multivariate preoperative risk models for 30-day mortality, readmission, and morbidity, which was defined as a composite of mortality and major postoperative complications.

Results

Within the cohort of 37 186 patients, mean (SD) age, 67.9 (female, 19 127 [51.4%]), correlations between pairs of metrics ranged from 0.19 (95% CI, 0.18- 0.20) for mFI-5 and RAI 0.69 (95% CI, 0.68-0.70). Only 1085 of 37 186 (2.9%) were classified as frail based on all 4 metrics. In univariate models for morbidity, HFRS demonstrated higher predictive discrimination (AUROC, 0.71; 95% CI, 0.70-0.72) than eFI (AUROC, 0.64; 95% CI, 0.63-0.65), mFI-5 (AUROC, 0.58; 95% CI, 0.57-0.59), and RAI (AUROC, 0.57; 95% CI, 0.57-0.58). The predictive discrimination of multivariate models with age, sex, comorbidity burden, and procedure characteristics for all 3 adverse surgical outcomes improved by including HFRS into the models.

Conclusions and Relevance

In this cohort study, the 4 electronic frailty metrics demonstrated heterogeneous correlation and classified distinct groups of surgical patients as frail. However, HFRS demonstrated the highest predictive value for adverse surgical outcomes.

Influence of frailty and its interaction with comorbidity on outcomes among total joint replacement

BACKGROUND

Patients with frailty get more and more attention in clinical practice. Yet, no large-scale studies have explored the impact of frailty on the perioperative acute medical and surgical complications following TJA. what is more, comorbid diseases may lead, at least additively, to the development of frailty. There also no studies to find the possible interaction between comorbidity and frailty on the postoperative complications after TJA.

METHODS

Discharge data of 2,029,843 patients who underwent TJA from 2005 to 2014 from the National Inpatient Sample (NIS) database, which was analyzed using cross-tabulations and multivariate regression modeling. Frailty was defined based on frailty-defining diagnosis clusters from frailty-defining diagnosis indicator of Johns Hopkins Adjusted Clinical Groups.

RESULTS

Among patients who underwent total joint replacement surgeries, 50,385 (2.5%) were identified as frail. Frailty is highly associated with old age, especially for those over the age of 80, meanwhile females and black races have a high Charlson comorbidity index (CCI) of ≥ 3, together with emergency/urgent admission and teaching hospital. While comorbidity is associated with greater odds of acute medical complications, and frailty has a better predictive effect on in-hospital deaths, acute surgical complications. Furthermore, frailty did not show an enhancement in the predictive power of the Charlson comorbidity score for postoperative complications or in-hospital deaths but postoperative LOS and hospitalization costs.

CONCLUSION

Frailty can be used to independently predicted postoperative surgical and medical complications, which also has a synergistic interaction with comorbidity for patients who are preparing to undergo TJA.

Effects of Frailty on Outcomes Following Surgery Among Patients With Hip Fractures: A Systematic Review and Meta-Analysis

Background

Frailty is a syndrome of multisystem dysfunction in the elderly. The association between preoperative frailty and postoperative outcomes in patients with hip fractures is unclear. To address this issue, we performed a meta-analysis to determine the association of frailty with postoperative mortality, complications, and readmission in patients with hip fractures.

Methods

We searched PubMed, Web of Science, Embase, and The Cochrane Library for cohort studies of frailty associated with postoperative adverse events in patients with hip fractures from inception to November 6, 2021. The Newcastle-Ottawa Scale was used to evaluate the quality of the included literature. Statistical analysis of meta-analysis was performed using Review Manager 5.3.

Results

Twelve retrospective cohort studies and seven prospective cohort studies involving a total of 62,132 patients met the inclusion criteria for this meta-analysis. Compared with non-frail patients, the pooled results showed that frailty was associated with patient in-hospital mortality (relative risk [RR] = 2.93; 95% confidence intervals [CI]: 2.56–3.34), 30-day mortality (RR = 2.85, 95%CI: 1.67–4.85) and total complications (RR = 1.79, 95%CI: 1.50–2.15). Subgroup analysis showed that the type of study design and frailty assessment tool had no significant effect on the results. Sensitivity analysis showed that the polled results of frailty predicted one-year mortality and 30-day readmission was unstable.

Conclusions

In this meta-analysis, we found that preoperative frailty may be associated with postoperative adverse events in patients with hip fractures, including in-hospital mortality, 30-day mortality, and postoperative complications.

Systematic Review Registration: PROSPERO, identifier: CRD42021287739.

Hospital Frailty Risk Score predicts adverse events in older patients with vertebral compression fractures: Analysis of data in a nationwide in-patient database in Japan

AIMS

This study investigated the usefulness of frailty for predicting adverse events in patients with vertebral compression fractures (VCFs) during hospitalization using data obtained from the Japanese health insurance system.

METHODS

This retrospective cohort study of patients with VCFs aged ≥65 years was conducted using a nationwide database in Japan. We examined the relationships between frailty risk, classified using the Hospital Frailty Risk Score (HFRS), in-hospital mortality, and complications such as pressure ulcers and pneumonia. Multivariate logistic regression analysis was used to estimate the association between the HFRS and the outcomes of patients with VCFs.

RESULTS

In this study, the data of 30 980 in-patients with VCFs were analyzed. Of these patients, 76.8%, 21.3%, and 1.9% had low, intermediate, and high risks of frailty, respectively. The higher the risk of frailty, the higher the rate of in-hospital mortality and the occurrence of all complications (P < 0.001 for trend). An intermediate risk of frailty was independently associated with in-hospital mortality (odds ratio [OR], 1.421; P < 0.001), whereas a high risk of frailty did not show statistical significance (OR, 1.385; P = 0.150). Each frailty risk was independently associated with the occurrence of all complications during hospitalization.

CONCLUSIONS

The HFRS, which can assess the risk of frailty based on routinely collected medical records, was predictive of adverse events in older patients with VCFs based on a nationwide database in Japan. Future studies need to assess approaches to preventing adverse events in frail VCF patients. Geriatr Gerontol Int 2022; ••: ••-••.

[Perioperative management of ortho-geriatric knee or hip arthroplasty patients]

Due to the changing age structure of the Western population, an increase in geriatric patients in endoprosthetic care of hip and knee joints is to be expected in the future. The age-related frailty and the existing comorbidities pose great challenges for the entire treatment team. In the preoperative phase, geriatric patients should be identified as such and adjustable risk factors should be addressed prior to surgery. The primary goals of treatment are to minimize trauma from anesthesia and endoprosthetic surgery to ensure immediate postoperative mobilization of patients. At the same time, any perioperative complications, especially intensive care treatments, should be prevented. This is achieved excellently with algorithms that are well known from fast-track surgery.

[Risk management in orthopedic surgery : Stratification and adjustment of patient-individual risk factors]

Preoperative identification of patients at risk of postoperative complications enables better patient education and surgical planning for the orthopedic surgeon. In addition to demographic and intervention-specific factors, a variety of instruments are available for individual risk assessment. The concept of frailty seems to be promising to identify patients at risk. Modifiable risk factors such as malnutrition, anemia, obesity, smoking, and insufficiently controlled diabetes mellitus are common in elective orthopedic patients. With the use of screening protocols, modifiable risk factors can be identified and optimized preoperatively in order to reduce the individual risk of complications. Recommendations regarding preoperative risk stratification and modification prior to elective hip replacement have meanwhile been incorporated in national guidelines.

Beyond the revised cardiac risk index: Validation of the hospital frailty risk score in non-cardiac surgery

Frailty is an established risk factor for adverse outcomes following non-cardiac surgery. The Hospital Frailty Risk Score (HFRS) is a recently described frailty assessment tool that harnesses administrative data and is composed of 109 International Classification of Disease variables. We aimed to examine the incremental prognostic utility of the HFRS in a generalizable surgical population. Using linked administrative databases, a retrospective cohort of patients admitted for non-cardiac surgery between October 1st, 2008 and September 30th, 2019 in Alberta, Canada was created. Our primary outcome was a composite of death, myocardial infarction or cardiac arrest at 30-days. Multivariable logistic regression was undertaken to assess the impact of HFRS on outcomes after adjusting for age, sex, components of the Charlson Comorbidity Index (CCI), Revised Cardiac Risk Index (RCRI) and peri-operative biomarkers. The final cohort consisted of 712,808 non-cardiac surgeries, of which 55·1% were female and the average age was 53·4 +/- 22·4 years. Using the HFRS, 86.3% were considered low risk, 10·7% were considered intermediate risk and 3·1% were considered high risk for frailty. Intermediate and high HFRS scores were associated with increased risk of the primary outcome with an adjusted odds ratio of 1·61 (95% CI 1·50-1.74) and 1·55 (95% CI 1·38-1·73). Intermediate and high HFRS were also associated with increased adjusted odds of prolonged hospital stay, in-hospital mortality, and 1-year mortality. The HFRS is a minimally onerous frailty assessment tool that can complement perioperative risk stratification in identifying patients at high risk of short- and long-term adverse events.

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.

Team Approach: Preoperative Management of Metabolic Conditions in Total Joint Replacement

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Total joint arthroplasties (TJAs) of the knee and hip have been considered 2 of the most successful surgical procedures performed to date.

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Frailty is defined as increased vulnerability to adverse outcomes with physiologic stress.

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Preoperative optimization of frailty and metabolic bone conditions, including osteoporosis, vitamin D deficiency, and diabetes, through a multidisciplinary approach can help improve outcomes and minimize costs after TJA.

Postoperative delirium is a risk factor for complications and poor outcome after total hip and knee arthroplasty

Background and purpose - Improving health care and demographic change have resulted in a steady increase in geriatric patients undergoing total hip (THA) and knee (TKA) arthroplasty. Postoperative delirium (POD) is a frequent and severe complication after major surgery. Therefore, we analyzed the impact of POD on outcome after THA and TKA.Patients and methods - In a consecutive series of 10,140 patients who had undergone elective THA or TKA between 2011 and 2020, rates of reoperation within 90 days, readmission within 90 days, complications, and responder rate as defined by the OMERACT-OARSI criteria were compared between patients with and without POD. Multivariable logistic regression models were used to assess the relationship between POD and other postoperative complications.Results - Patients with POD showed higher rates of reoperation (12% vs. 5%), readmission (15% vs. 5%), surgical complications (7% vs. 2%), non-surgical complications (8% vs. 4%), Clavien-Dindo IV° complications (10% vs. 2%) and transfusion (14% vs. 2%). POD led to lower responder rate (76% vs. 87%) 1 year after total joint replacement. All previous comparisons statistically significant. Multivariable logistic regression analyses revealed POD as an independent risk factor for reoperation (OR = 2; CI 1-3), readmission (OR = 2; CI 2-4) and Clavien-Dindo IV° complications (OR = 3; CI 2-5).Interpretation - POD is a serious problem in elective joint replacement. Affected patients suffer more complications and show poor patient-reported outcome 1 year postoperatively. Systematic prevention strategies and standardized therapy protocols are mandatory to avoid burden to patients and healthcare providers.

Hospital Frailty Risk Score predicts adverse events in older patients with hip fractures after surgery: Analysis of a nationwide inpatient database in Japan

BACKGROUND

Frailty may predict adverse events in patients with hip fractures. This study aimed to investigate the association between frailty and adverse events in patients with hip fractures after surgery using information from Japanese health insurance.

METHODS

This retrospective cohort study included patients with hip fractures aged ≥ 65 years using a nationwide database in Japan. We examined the relationship of the frailty risk, which was defined using the Hospital Frailty Risk Score (HFRS), with in-hospital mortality, complications such as delirium and pneumonia, and functional outcomes. We used descriptive analysis, logistic regression, and linear regression analysis to estimate the association between the HFRS and outcomes in patients with hip fracture.

RESULTS

We analysed data from 36,192 patients with hip fractures after surgery (mean age: 83.6 ± 6.7 years, female: 79.5%). The proportions of low, intermediate, and high risk of frailty were 68.4%, 28.1%, and 3.5%, respectively. The frailty risk was independently associated with in-hospital mortality (intermediate risk: odds ratio [OR] 1.385, P < 0.001; high risk: OR 1.572; P < 0.001) and the occurrence of complications. Furthermore, each frailty risk was negatively associated with the Barthel Index score at discharge (intermediate risk: coefficient -11.919, P < 0.001; high risk: coefficient -18.044; P < 0.001).

CONCLUSIONS

The HFRS could predict adverse events, including in-hospital mortality, in Japanese older patients with hip fractures. This finding supports the validity of using the HFRS in clinical practice for patients with hip fractures.

A comparison of comorbidity measures for predicting mortality after elective hip and knee replacement: A cohort study of data from the National Joint Registry in England and Wales

Background

The risk of mortality following elective total hip (THR) and knee replacements (KR) may be influenced by patients’ pre-existing comorbidities. There are a variety of scores derived from individual comorbidities that can be used in an attempt to quantify this. The aims of this study were to a) identify which comorbidity score best predicts risk of mortality within 90 days or b) determine which comorbidity score best predicts risk of mortality at other relevant timepoints (30, 45, 120 and 365 days).

Patients and methods

We linked data from the National Joint Registry (NJR) on primary elective hip and knee replacements performed between 2011–2015 with pre-existing conditions recorded in the Hospital Episodes Statistics. We derived comorbidity scores (Charlson Comorbidity Index—CCI, Elixhauser, Hospital Frailty Risk Score—HFRS). We used binary logistic regression models of all-cause mortality within 90-days and within 30, 45, 120 and 365-days of the primary operation using, adjusted for age and gender. We compared the performance of these models in predicting all-cause mortality using the area under the Receiver-operator characteristics curve (AUROC) and the Index of Prediction Accuracy (IPA).

Results

We included 276,594 elective primary THRs and 338,287 elective primary KRs for any indication. Mortality within 90-days was 0.34% (N = 939) after THR and 0.26% (N = 865) after KR. The AUROC for the CCI and Elixhauser scores in models of mortality ranged from 0.78–0.81 after THR and KR, which slightly outperformed models with ASA grade (AUROC = 0.77–0.78). HFRS performed similarly to ASA grade (AUROC = 0.76–0.78). The inclusion of comorbidities prior to the primary operation offers no improvement beyond models with comorbidities at the time of the primary. The discriminative ability of all prediction models was best for mortality within 30 days and worst for mortality within 365 days.

Conclusions

Comorbidity scores add little improvement beyond simpler models with age, gender and ASA grade for predicting mortality within one year after elective hip or knee replacement. The additional patient-specific information required to construct comorbidity scores must be balanced against their prediction gain when considering their utility.