Simplified Frailty Index as a Predictor of Adverse Outcomes in Total Hip and Knee Arthroplasty

The modified 5-item frailty index in total hip arthroplasty patients: a retrospective cohort from a low-middle income country

BACKGROUND

Total hip arthroplasty (THA) is increasing in low- and middle-income countries (LMICs) due to rising rates of hip fractures and an aging population. Identifying frail patients at risk for postoperative complications is vital for improving outcomes. This study examines the utility of the Modified 5-Item Frailty Index (mFI-5) in predicting 30-day morbidity and mortality in THA patients in resource-limited settings, where other models like the Elixhauser Comorbidity Measure (ECM) and Charlson Comorbidity Index (CCI) may be impractical due to data constraints.

METHODS

This retrospective cohort study included 498 patients undergoing THA at tertiary-care hospital between January 2014 and December 2019. Patients were stratified based on their mFI-5 scores (≤ 1 vs. > 1). Postoperative complications, length of stay, and mortality were compared between groups. Multivariable logistic regression was used to assess outcomes.

RESULTS

Of the 498 patients, 62.8% had an mFI-5 score ≤ 1, and 37.2% had a score > 1. Complication rates were higher in the mFI-5 > 1 group (17.8%) versus the ≤ 1 group (9.6%). After adjusting for covariates, patients with mFI-5 > 1 had a 97% higher likelihood of complications (aOR = 1.97, 95% CI 1.06-3.70). Each additional hospital day increased complication risk by 13% (aOR = 1.13, 95% CI: 1.05-1.21).

CONCLUSION

The mFI-5 is a practical, efficient tool for predicting postoperative complications in THA patients, particularly in resource-limited environments. Its use in LMICs could improve preoperative planning, reduce complications, and provide better outcome estimates for patients and healthcare providers. Given the growing geriatric population, integrating the mFI-5 into routine THA planning could enhance patient care and resource allocation. Further research is needed to validate its use across larger datasets.

Comparative assessment of 5-factor modified frailty index and American Society of Anesthesiologists classification for morbidity and mortality prediction in arthroplasty: A prospective observational study

BACKGROUND

Identifying early predictors of postoperative complications is paramount in frail patients. While the American Society of Anaesthesiologists classification is subjective, the 5-factor modified frailty index is simpler and associated with promising results in predicting morbidity and mortality in various surgical specialities.

METHODS

This prospective observational study assessed the comparative utility of 5-factor modified frailty index and American Society of Anaesthesiologists classification in predicting intensive care unit admission and revision surgery in 220 patients following arthroplasty with standardised anaesthesia techniques under the same group of surgeons. The 5-factor modified frailty index and American Society of Anaesthesiologists class were assessed 1 day before surgery, and postoperatively, all the patients were followed up for 30 days.

RESULTS

American Society of Anaesthesiologists and 5-factor modified frailty index had a significant association with postoperative intensive care unit requirements (odds ratio = 7.5, 95% confidence interval 1.3 to 42.4 and odds ratio = 8.3, 95% confidence interval 1.6 to 17.6, respectively). Only the 5-factor modified frailty index was significantly associated (odds ratio = 5.3, 95% confidence interval 1.3 to 9.7) with revision surgery. Patients with the 5-factor modified frailty index value of 3 had the best predictive odds for postoperative intensive care unit admission (odds ratio = 73.6, 95% confidence interval 7.5 to 718.8) and revision of surgery, particularly during total hip replacement (odds ratio = 54, 95% confidence interval 3.3).

CONCLUSION

The 5-factor modified frailty index exhibited a more robust predictive capacity for postoperative intensive care unit requirements and the likelihood of revision surgery, particularly a 5-factor modified frailty index score of 3 in total hip replacement procedures.

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.

Medium to long term of self-report outcomes of high tibial osteotomy in advanced age patients

PURPOSE

This study aimed to investigate the mid- to long-term benefits of high tibial osteotomy in advanced age patients.

METHODS

This retrospective study was conducted in our hospital from January 2017 to January 2021 with data prospectively collected, 47 patients with knee osteoarthritis who over 65 years old were included, and a 1:1 propensity score (PS) of patients < 65 years were matched according to gender, body mass index, and side. Patient demographics, intraooperative and postoperative variables, and patient self-reported outcomes were compared. A generalized linear model was used to screen possible risk factors.

RESULTS

A total of 94 consecutive patients were included; the average age of advanced age group was 69.47 + 4.26 years and 57.87 + 5.51 years in the younger group. There were no statistically difference in K-L grade, smoke, drink, comorbidity, ASA, blood loss, operative duration, length of stay, surgical site infection, hinge fracture, DVT, and preooperative and postoperative aFTA; significantly statistical difference of the eFI was found between two groups (P < 0.05). Two groups had comparable VAS and MOMAC scores at one year postoperatively (P > 0.05), while the younger group had lower VAS and WOMAC scores than the advanced age group at the end of follow-up (P < 0.05). Generalized linear model showed both age and eFI were associated with WOMAC scores; there was a statistically significant difference in the effect of eFI on WOMAC scores at different ages (P > 0.05).

CONCLUSIONS

Compared with younger patients, advanced age patients have similar short-term benefits, but less long-term benefits. We recommend that patients proposed for HTO be discriminated by eFI, and patients with higher scores should be cautiously selected.

Assessing the Modified Frailty Index and Post-Operative Outcomes in Adhesive Small Bowel Obstruction: A Retrospective Cohort Study

INTRODUCTION

Studies identifying predictors of postoperative outcomes in adhesive small bowel obstruction are limited. This study investigates the efficacy of the modified frailty index (mFI)to predict postoperative morbidity and mortality among patients undergoing surgery for adhesive small bowel obstruction.

METHODS

A multicentre retrospective cohort study including patients undergoing surgery for adhesive small bowel obstruction after failed trial of nonoperative management between January 2015 and December 2020 was performed. Impact of frailty status using the mFI, stratified as frail (≥0.27) and robust (<0.27), on postoperative morbidity, mortality, length of stay, and discharge destination was evaluated using multiple logistic regression.

RESULTS

Ninety-two robust patients (mean age 62.4 y, 68% female) and 41 frail patients (mean age 81.7 y, 63% female) were included. On simple stratification, frail patients had significantly increased 30-d morbidity (overall morbidity 80% versus 49%) and need for higher level of care on discharge (41% versus 9%). However, on multiple regression, functional dependence but not the mFI, was independently associated with worse 30-d overall morbidity (odds ratio [OR] 3.97, confidence interval [CI] 1.29-12.19) and lower likelihood of returning to preoperative disposition (OR 0.21, CI 0.05-0.91). The delay in operation beyond 5 d was independently associated with worse 30-d outcomes including overall morbidity and mortality (OR 7.54, CI 2.13-26.73) and decreased return to preoperative disposition (OR 0.14, CI 0.04-0.56).

CONCLUSIONS

The mFI, although promising, was not independently predictive of outcomes following surgery for adhesive small bowel obstruction. Further adequately powered studies are required.

Random forest identifies predictors of discharge destination following total shoulder arthroplasty

Background

Machine learning algorithms are finding increasing use in prediction of surgical outcomes in orthopedics. Random forest is one of such algorithms popular for its relative ease of application and high predictability. In the process of sample classification, algorithms also generate a list of variables most crucial in the sorting process. Total shoulder arthroplasty (TSA) is a common orthopedic procedure after which most patients are discharged home. The authors hypothesized that random forest algorithm would be able to determine most important variables in prediction of nonhome discharge.

Methods

Authors filtered the National Surgical Quality iImprovement Program database for patients undergoing elective TSA (Current Procedural Terminology 23472) between 2008 and 2018. Applied exclusion criteria included avascular necrosis, trauma, rheumatoid arthritis, and other inflammatory arthropathies to only include surgeries performed for primary osteoarthritis. Using Python and the scikit-learn package, various machine learning algorithms including random forest were trained based on the sample patients to predict patients who had nonhome discharge (to facility, nursing home, etc.). List of applied variables were then organized in order of feature importance. The algorithms were evaluated based on area under the curve of the receiver operating characteristic, accuracy, recall, and the F-1 score.

Results

Application of inclusion and exclusion criteria yielded 18,883 patients undergoing elective TSA, of whom 1813 patients had nonhome discharge. Random forest outperformed other machine learning algorithms and logistic regression based on American Society of Anesthesiologists (ASA) classification. Random forest ranked age, sex, ASA classification, and functional status as the most important variables with feature importance of 0.340, 0.130, 0.126, and 0.120, respectively. Average age of patients going to facility was 76 years, while average age of patients going home was 68 years. 78.1% of patients going to facility were women, while 52.7% of patients going home were. Among patients with nonhome discharge, 80.3% had ASA scores of 3 or 4, while patients going home had 54% of patients with ASA scores 3 or 4. 10.5% of patients going to facility were considered of partially/totally dependent functional status, whereas 1.3% of patients going home were considered partially or totally dependent (P value < .05 for all).

Conclusion

Of various algorithms, random forest best predicted discharge destination following TSA. When using random forest to predict nonhome discharge after TSA, age, gender, ASA scores, and functional status were the most important variables. Two patient groups (home discharge, nonhome discharge) were significantly different when it came to age, gender distribution, ASA scores, and functional status.

A modified frailty index predicts complication, readmission, and 30-day mortality following the revision total hip arthroplasty

INTRODUCTION

This study aimed to develop a modified frailty index (MFI) to predict the risks of revision total hip arthroplasty (THA).

METHODS

Data from the American College of Surgeons - National Surgical Quality Improvement Program were analyzed for patients who underwent revision THA from 2015 to 2020. An MFI was composed of the risk factors, including severe obesity (body mass index > 35), osteoporosis, non-independent function status prior to surgery, congestive heart failure within 30 days of surgery, hypoalbuminemia (serum albumin < 3.5), hypertension requiring medication, type 1 or type 2 diabetes, and a history of chronic obstructive pulmonary disease or pneumonia. The patients were assigned based on the MFI scores (MFI0, no risk factor; MFI1, 1-2 risk factors; MFI2, 3-4 risk factors; and MFI3, 5+ risk factors). Confidence intervals were set at 95% with a P value less than or equal to 0.05 considered statistically significant.

RESULTS

A total of 17,868 patients (45% male, 55% female) were included and had an average age of 68.5 ± 11.5 years. Odds of any complication, when compared to MFI0, were 1.4 (95% CI [1.3, 1.6]) times greater for MFI1, 3.2 (95% CI [2.8, 3.6]) times greater for MFI2, and 10.8 (95% CI [5.8, 20.0]) times greater for MFI3 (P < 0.001). Odds of readmission, when compared to MFI0, were 1.4 (95% CI [1.3, 1.7]) times greater for MFI1, 2.5 (95% CI [2.1, 3.0]) times greater for MFI2, and 4.1 (95% CI [2.2, 7.8]) times greater for MFI3 (P < 0.001).

CONCLUSION

Increasing MFI scores correlate with increased odds of complication and readmission in patients who have undergone revision THA. This MFI may be used to predict the risks after revision THA.

Inconsistent Classification of "Outpatient" Surgeries Leads to Different Outcomes Following Total Hip Arthroplasty in Medicare Beneficiaries: A Critical Analysis

BACKGROUND

With rising utilization of outpatient total hip arthroplasty (THA) in older patients including Medicare beneficiaries, the objective was to compare differences in definition including (1) patient demographics; (2) lengths of stay (LOS); and (3) outcomes of "outpatient" (stated status) versus "same-day discharge" (SDD) (actual LOS = 0 days) utilizing a nationwide database.

METHODS

A national database from 2015 to 2019 was queried for Medicare-aged patients undergoing outpatient THA. Total outpatient THAs (N = 6,072) were defined in one of 2 ways: either "outpatient" by the hospital (N = 2,003) or LOS = 0 days (N = 4,069). Demographics, LOS, discharge destinations, and complications were compared between groups. Logistic regression models computed odds ratios (ORs) for factors leading to complications, readmissions, and nonhome discharges. P values < .008 were significant.

RESULTS

Women (OR: 1.19, P = .002), diabetes mellitus (OR: 1.31, P = .003), general anesthesia (OR: 1.24, P = .001), and longer operative times (≥95 minutes) (OR: 1.82, P < .001) were associated with 'outpatient' designation versus SDD. Within the hospital-defined 'outpatient' cohort, 49.1% (983 of 2,003) were discharged the same day (LOS = 0 days), and 21.8% had LOS 2 or more days. The hospital-defined 'outpatient' cohort had greater odds of nonhome discharges (6.3 versus 2.8%; OR: 1.88, P < .001) compared to SDD surgeries. The incidence was higher for any complication among hospital-defined 'outpatient' designated patients compared to SDD (5.5 versus 3.9%, P = .007).

CONCLUSIONS

Outpatient surgeries may be misleading and often do not correlate with SDD, as over 20% remain in the hospital 2 or more days. Investigators should quantitatively define the "outpatient" status by actual LOS to allow standardization and results comparison.

LEVEL OF EVIDENCE

III.

Application of MFI-5 in severe complications and unfavorable outcomes after radical resection of colorectal cancer

BACKGROUND

Frailty is considered a characteristic manifestation of physiological decline in multiple organ systems, which significantly increases the vulnerability of elderly individuals with colorectal cancer (CRC) and is associated with a poor prognosis. While studies have demonstrated that the 11-factor Modified Frailty Index (mFI-11) can effectively predict adverse outcomes following radical resection of CRC, there is a lack of research on the applicability of the 5-factor Modified Frailty Index (mFI-5) within this patient population.

METHODS

In this retrospective analysis, we examined a cohort of CRC patients aged 65 years and above who had undergone radical resection. For each patient, we calculated their mFI-5 score, considering a score of ≥ 2 as an indication of frailty. We conducted univariate and multivariate analyses to assess the association between the mFI-5 and adverse outcomes as well as postoperative complications.

RESULTS

Patients with an mFI-5 score ≥ 2 exhibited a significantly higher incidence of serious postoperative complications (53% vs. 30%; P = 0.001) and experienced a longer hospital stay [19.00 (15.00-24.50) vs. 17.00 (14.00-20.00); P < 0.05]. Notably, an mFI-5 score greater than 2 emerged as an independent risk factor for severe postoperative complications (odds ratio: 2.297; 95% confidence interval: 1.216 to 4.339; P = 0.01). Furthermore, the mFI-5 score displayed predictive capabilities for severe postoperative complications with an area under the receiver operating characteristic (ROC) curve of 0.629 (95% confidence interval: 0.551 to 0.707; P < 0.05).

CONCLUSION

The mFI-5 demonstrates a high level of sensitivity in predicting serious complications, prolonged hospital stays, and mortality following radical resection of colorectal carcinoma. As a practical clinical assessment tool, the mFI-5 enables the identification of high-risk patients and facilitates preoperative optimization.

Prospective cohort study of same-day discharge shoulder arthroplasty in patients of 85 years and younger

Introduction

Shoulder arthroplasty is mostly performed as an inpatient procedure. Same-day discharge arthroplasty has shown positive results in hip and knee surgery. Primary objective of this study was to investigate whether a safe and satisfactory same-day discharge (SDD) can be predicted with a set of easy to use predefined criteria, without increasing complications and re-admissions.

Methods

This study was a prospective cohort study. Patient selection criteria were: <85 years old, ASA 1, 2, and mild ASA 3. Primary outcome variables were successful SDD, complications, re-admissions and patient satisfaction. Secondary outcomes were patient-reported outcome scores. The results are compared with the inpatient cohort.

Results

In total, 163 patients were treated for elective shoulder arthroplasty. Of which 51 patients were selected for same-day discharge arthroplasty. 94% of pre-planned same-day discharge arthroplasty patients were discharged on the day of surgery. In the same-day discharge group, there were no complications related to the early discharge and a 2% readmission rate as opposed to a 3% readmission rate in the inpatient group. Surgery related as well as medical complications did not differ between the same-day discharge and inpatient cohort.

Discussion

Same-day discharge shoulder arthroplasty is a safe and satisfying treatment option in selected patient groups.

Reliability of the modified Frailty Index (mFI) for intervention and continued surveillance in elective infrarenal abdominal aortic aneurysm (AAA)

INTRODUCTION

Frailty has been proven to lead to higher morbidity and mortality rates in surgical patients, independent of age. The modified Frailty Index (mFI) is a validated means of assessing for frailty.

AIM OF STUDY

The aim of this study is to ascertain if the mFI correlates with clinician experience in turning down patients for abdominal aortic aneurysm (AAA) surgery and/or AAA surveillance.

METHODS

A contemporaneously recorded database of all AAA patients treated during 2017 at a large University Hospital was reviewed. Patients were categorised into the following groups; continued surveillance, turned down for surveillance, patient declined surveillance, patient offered surgery, patient turned down for surgery and patient declined surgery.

RESULTS

One hundred and forty two patients were included. Twenty-eight patients <5.5 cm were turned down for surveillance with a mFI of 0.27. Forty-one patients <5.5 cm continued with surveillance, with a mFI of 0.09 (p < 0.0001). Eighteen patients >5.5 cm were turned down for surgical intervention with a median mFI of 0.36. Forty-two patients were offered surgical intervention had a median mFI of 0.09 (p < 0.0001).

CONCLUSION

Frailty is associated with higher morbidity and mortality amongst frail patient cohorts. mFI is a valid and easy to use tool to predict perioperative outcomes in AAA intervention. It correlates well with senior, experienced clinicians' decision-making in relation to who should and who should not undergo elective AAA surgery and those patients who should have ongoing aneurysm surveillance.

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.

Prediction of Non-Home Discharge Following Total Hip Arthroplasty in Geriatric Patients

Introduction

The majority of total hip arthroplasty (THA) patients are discharged home postoperatively, however, many still require continued medical care. We aimed to identify important characteristics that predict nonhome discharge in geriatric patients undergoing THA using machine learning. We hypothesize that our analyses will identify variables associated with decreased functional status and overall health to be predictive of non-home discharge.

Materials and Methods

Elective, unilateral, THA patients above 65 years of age were isolated in the NSQIP database from 2018-2020. Demographic, pre-operative, and intraoperative variables were analyzed. After splitting the data into training (75%) and validation (25%) data sets, various machine learning models were used to predict non-home discharge. The model with the best area under the curve (AUC) was further assessed to identify the most important variables.

Results

In total, 19,840 geriatric patients undergoing THA were included in the final analyses, of which 5194 (26.2%) were discharged to a non-home setting. The RF model performed the best and identified age above 78 years (OR: 1.08 [1.07, 1.09], P < .0001), as the most important variable when predicting non-home discharge in geriatric patients with THA, followed by severe American Society of Anesthesiologists grade (OR: 1.94 [1.80, 2.10], P < .0001), operation time (OR: 1.01 [1.00, 1.02], P < .0001), anemia (OR: 2.20 [1.87, 2.58], P < .0001), and general anesthesia (OR: 1.64 [1.52, 1.79], P < .0001). Each of these variables was also significant in MLR analysis. The RF model displayed good discrimination with AUC = .831.

Discussion

The RF model revealed clinically important variables for assessing discharge disposition in geriatric patients undergoing THA, with the five most important factors being older age, severe ASA grade, longer operation time, anemia, and general anesthesia.

Conclusions

With the rising emphasis on patient-centered care, incorporating models such as these may allow for preoperative risk factor mitigation and reductions in healthcare expenditure.

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.

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.

The Effect of COVID-19 on Elective Total Knee Arthroplasty Utilization, Patient Comorbidity Burden, and Complications in the United States: A Nationwide Analysis

INTRODUCTION

Total knee arthroplasty (TKA) is one of the highest volume elective procedures done nationwide. Elective surgery was suspended because of the COVID-19 pandemic. The utilization trends, comparison of patient demographics, and postoperative outcomes in 2020 have yet to be evaluated substantially. We compared temporal trends in procedural volume, patient demographics, and postoperative complications of elective TKA in 2019 and 2020.

METHODS

Using a multicenter, nationwide representative sample, a retrospective query of the 2019 to 2020 American College of Surgeon's National Surgery Quality Improvement Program database was conducted for patients undergoing elective TKA. Temporal trends in utilization, demographics, and length of stay were compared pre-COVID-19 (2019 to 2020Q1) with post-COVID-19 (2020Q2 to Q4). Postoperative outcomes were compared by calendar year (2019 versus 2020). Linear regression was used to evaluate changes in procedural volume over time. A significance threshold of P < 0.05 was used.

RESULTS

A total of 121,415 patients underwent elective TKA in 2019 (N = 72,002) and 2020 (N = 49,413), a 31.4% decline. The proportion of hospital-defined "outpatient" TKAs in 2020 was significantly greater than that in 2019 (41.5% versus 25.5%; P < 0.001). Elective TKA utilization declined by 65.1% in 2020Q2 and never returned to prepandemic baseline in 2020Q3 to Q4. The average length of stay was shorter in 2020 (1.56 versus 1.87 days; P < 0.001). The proportion of same-day discharge increased each quarter from 2019Q1 to Q4 (6.2% to 8.6%) to 2020Q1 to Q4 (8.7% to 17.1%). Total complication rates were similar in 2019 (4.84%) versus 2020 (4.75%); P = 0.430. The 30-day mortality (0.08% versus 0.07%; P = 0.858), revision surgery (1.0% versus 1.0%; P = 0.940), and readmission (2.8% versus 2.6%; P = 0.053) rates were no different between 2019 and 2020.

CONCLUSION

Elective TKA declined during the second quarter of 2020. A large proportion of surgeries were transitioned to outpatient with rates of same-day discharge increasing over the study period, despite no change in complication, mortality, and readmission rates. Patient outcomes were not compromised despite pandemic restrictions for elective surgery.

LEVEL OF EVIDENCE

Level III.

The association between frailty and mortality among lower limb arthroplasty patients: a systematic review and meta-analysis

Background

Some studies associate frailty and postoperative mortality in hip or knee replacement patients, and others have explored the relationship between the frailty index and changes in postoperative mortality in hip or knee replacement patients, but their findings are not consistent. This meta-analysis and systematic review aimed to pool the results of existing studies to explore whether frailty is an independent risk factor for postoperative mortality in patients with lower limb arthroplasty (including hip or knee arthroplasty).

Methods

On December 15, 2021, we searched the relevant articles from the PubMed, Embase, Medline (via Ovid), China National Knowledge Infrastructure (CNKI) and Wan Fang Med Online databases. We used the Newcastle–Ottawa Scale (NOS) to assess the quality of the articles that met the exclusion and inclusion criteria. R Studio was used to analyze the effect sizes (based on the random model integration) on the extracted data. Meanwhile, potential publication bias and sensibility analysis were performed.

Results

We included seven studies, which included a total of 460,594 patients, for quantitative analysis. Overall, frailty increased the risk of mortality in lower limb arthroplasty patients compared to those without frailty, as measured by a pooled risk ratio (RR) of 2.46 (95% confidence interval [CI]: 1.81–3.33). Additionally, subgroup analysis based on population revealed that the pooled RRs for total knee arthroplasty (TKA) patients in three studies and total hip arthroplasty (THA) patients in four studies were 2.61 (95% CI: 2.26–3.02) and 3.18 (95% CI: 1.92–5.28), respectively, for TKA patients in three studies and THA patients in four studies. Additionally, these statistically significant positive associations persisted in subgroup analyses by study design, geographic region, and follow-up period.

Conclusion

Frailty is an independent risk factor for postoperative mortality in patients undergoing lower limb arthroplasty, according to our findings. This suggests that frailty may be a predictor of preoperative risk stratification for patients with such elective surgery and could alert doctors and nurses of early screening and medical care interventions in patients with such a need for surgery to reduce postoperative mortality in lower limb arthroplasty patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03369-w.

Risk Factors that Hinder Locomotive Syndrome Improvement Following Surgery for Musculoskeletal Diseases in Older Patients: A Multicenter Prospective Study

OBJECTIVES

This study aimed to evaluate preoperative and postoperative locomotive syndrome (LS) in older adults undergoing surgical treatment for musculoskeletal diseases of the lumbar spine and lower extremities and identify risk factors that impede LS improvement after surgery.

METHODS

: The baseline evaluation included 471 patients 65 years or older (276 in the pre-old age [65-74 years] group; 195 in the old age [75 years or older] group) and examined the preoperative and postoperative LS data. The second evaluation performed to identify risk factors, including anthropometric measurements, comorbidity, and frailty, that hinder LS improvement after surgery included 378 patients with preoperative LS stage 3.

RESULTS

Preoperatively, 80% of the patients had LS stage 3; this rate decreased to 40% postoperatively. Half of the patients exhibited postoperative LS improvement. The LS improvement rate was higher in the pre-old age group than in the old age group. According to the multiple logistic regression analysis, old age, high body mass index, weak hand grip strength, and high 5-factor modified frailty index score were significant risk factors that hinder LS improvement after surgery.

CONCLUSIONS

Aging, obesity, weak muscle strength, and frailty can hinder LS improvement in older patients who undergo surgery.

Modified Frailty Index Combined with a Prognostic Nutritional Index for Predicting Postoperative Complications of Hip Fracture Surgery in Elderly

Aim: There is currently no consensus on the best risk assessment technique for predicting complications after hip surgery in the elderly, which is hindering the accuracy of surgical risk assessment. The goal of this study was to build a risk assessment model and evaluate its predictive value using the modified frailty index (5-mFI) and the prognostic nutritional index (PNI).Methods: A retrospective investigation was undertaken on 150 patients (aged ≥60 years) who had hip fracture surgery. Using univariate and multivariate logistic regression models, the relationship between combined 5-mFI and PNI and the evaluation of postoperative unfavorable outcomes such as infection and unscheduled intensive care unit (ICU) admission was investigated. Finally, utilizing receiver operating characteristic (ROC) curve analysis, the model's predictive value for adverse outcomes following hip fracture surgery in elderly patients was assessed.Results: Univariate and multivariate logistic analyses revealed that preoperative PNI, 5-mFI, ASA, and gender acted as independent predictors of adverse outcomes after hip fracture surgery in the elderly. According to the ROC curve analysis, the predictive model demonstrated a high predictive value for total postoperative complications (AUC: 0.788; 95%CI: 0.715-0.860; p<0.01), infectious complications (AUC: 0.798; 95% CI: 0.727-0.868; P<0.001), and unplanned ICU admission (AUC: 0.783; 95% CI: 0.705-0.861; P<0.001).Conclusions: The multivariable evaluation model, which included 5-mFI and PNI, showed a high predictive value and can hence be applied to predict the adverse outcomes in elderly patients undergoing hip fracture surgery.

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 impact of frailty on short-term mortality following primary total hip and knee arthroplasty due to osteoarthritis

BACKGROUND

We determined the association between frailty and short-term mortality following total hip and knee arthroplasty (THA/TKA) for osteoarthritis and also the impact of THA/TKA on short-term mortality compared with a control population.

METHODS

Frailty was assessed using a frailty index (categorised: fit, mild, moderate, severe frailty). The association between frailty and short-term mortality following THA/TKA was assessed using Cox regression. Mortality following THA/TKA was also compared with a control population with osteoarthritis but no previous THA/TKA, matched on year of birth, sex and quintile of index of multiple deprivation.

RESULTS

A total of 103,563 cases who had a THA, 125,367 who had a TKA and matched controls contributed. Among those who had surgery, mortality increased with increasing frailty; adjusted hazard ratio (HR) (95% CI) at 30 days in severely frail versus fit: following THA, 2.85 (1.84, 4.39) and following TKA, 2.14 (1.29, 3.53). The predicted probability of 30-day mortality following THA/TKA varied by age, sex and frailty: following THA, from 0.05% among fit women aged 60-64 years to 6.55% among men with severe frailty aged ≥90 years. All-cause 30-day mortality was increased in fit cases following THA and TKA, respectively, versus fit controls (adjusted HR (95% CI), 1.60 (1.15, 2.21) and 2.98 (1.81, 4.89)), though not among cases with mild, moderate or severe frailty versus controls in the same frailty category.

CONCLUSION

Short-term mortality increased with increasing frailty following THA/TKA. Comparison of mortality among cases and controls may be affected by a 'healthy surgery' selection effect.

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.

Frailty measurements in hospitalised orthopaedic populations age 65 and older: A scoping review

AIMS AND OBJECTIVES

To identify and compare frailty instruments used with hospitalised orthopaedic patients aged over 65.

BACKGROUND

Frailty predicts clinical events in orthopaedic patients aged over 65. However, the strengths and limitations of different approaches to measuring frailty in this population are rarely discussed. As such, a comprehensive review to address the gap is needed.

DESIGN

Scoping review using Arksey and O'Malley framework.

METHODS

PubMed, CINAHL, PsycINFO, Scopus and EMBASE databases were searched to identify studies published from 2006 to 2020 regarding frailty instruments in older orthopaedic patients. The Preferred Reporting Items for Systematic Reviews and Meta-analyses were followed.

RESULTS

The initial search resulted in 1,471 articles. After review against inclusion and exclusion criteria, a final set of 31 articles containing 15 unique frailty instruments were evaluated. Most of the articles were from Western countries. Fried's phenotype and Frailty Index were commonly used. The frailty index was mostly modified to measure frailty. In hip fracture, physical function items were frequently modified in the measurement of frailty. Trained physicians and nurses administered most frailty instruments. Frailty screening was commonly conducted at hospital admission and used to prognosticate both postoperative complications and hospital outcomes. Most instruments could be completed within 10 min. Reported psychometrics had acceptable reliability and validity.

CONCLUSION

Many reliable frailty measures have been used in the inpatient orthopaedic settings; however, evidence is still lacking for a gold standard frailty instrument. More research is needed to identify the best-performing measure. Frailty evaluation in patients with physical limitations is challenging with existing instruments. Clinical context, resources required and instrument quality are essential factors in selecting a frailty instrument.

RELEVANCE TO CLINICAL PRACTICE

Musculoskeletal symptoms in older patients may bias frailty assessment. Proactive frailty screening with valid and practical instruments is vital to strengthen preoperative risk stratification and improve post-surgical outcomes.

Development and validation of risk stratification tool for prediction of increased dependence using preoperative frailty after hepatopancreatic surgery

BACKGROUND

Despite the known association between frailty and postoperative morbidity, the use of preoperative frailty in surgical practice remains limited. We sought to develop a risk tool to predict postoperative increase in functional dependence.

METHODS

Patients of ≥65 years in the National Surgical Quality Improvement Project database who had a primary hepatopancreatic surgery between 2015 and 2019 were used to identify predictors of increased dependence and development of a simplified tool to calculate the risk stratification score for increased discharge care level (https://ktsahara.shinyapps.io/care_discharge/).

RESULTS

Among 31,338 patients who underwent primary hepatopancreatic surgery, 4,259 (13.6%) had an increased level of care at discharge compared to their preadmission care. Patients with increased discharge care had a higher proportion of patients with a modified frailty index of at least 2 (n = 1496; 35.1%) compared with individuals with unchanged care (n = 6,760; 25.0%). In addition, 12.3% (n = 3,858) were discharged to a skilled nursing or rehabilitation facility. Of note, the odds of increased care at discharge were increased by 1.41 (95% confidence interval: 1.32-1.50), 1.11 (95% confidence interval :1.11-1.12), and 1.95 (95% confidence interval:1.86-2.04) times with every unit increase in modified frailty index, age beyond 65 years, and the number of in-hospital complications, respectively. Area under receiver operative curve for the parsimonious model used to develop the risk calculator was 0.7486 (95% confidence interval: 0.7405-0.7566) (all P < .001).

CONCLUSION

Approximately, 1 in 7 patients required an increased level of care at the time of discharge compared with their preadmission status. A simplified web-based risk tool can be used in clinical practice as a surgical decision aid in post-discharge planning after complex elective surgery.

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.

The composite risk index based on frailty predicts postoperative complications in older patients recovering from elective digestive tract surgery: a retrospective cohort study

Background

Limitations exist in available studies investigating effect of preoperative frailty on postoperative outcomes. This study was designed to analyze the association between composite risk index, an accumulation of preoperative frailty deficits, and the risk of postoperative complications in older patients recovering from elective digestive tract surgery.

Methods

This was a retrospective cohort study. Baseline and perioperative data of older patients (age ≥ 65 years) who underwent elective digestive tract surgery from January 1, 2017 to December 31, 2018 were collected. The severity of frailty was assessed with the composite risk index, a composite of frailty deficits including modified frailty index. The primary endpoint was the occurrence of postoperative complications during hospital stay. The association between the composite risk index and the risk of postoperative complications was assessed with a multivariable logistic regression model.

Results

A total of 923 patients were included. Of these, 27.8% (257) developed postoperative complications. Four frailty deficits, i.e., modified frailty index ≥0.27, malnutrition, hemoglobin < 90 g/L, and albumin ≤30 g/L, were combined to generate a composite risk index. Multivariable analysis showed that, when compared with patients with composite risk index of 0, the odds ratios (95% confidence intervals) were 2.408 (1.714–3.383, P <  0.001) for those with a composite risk index of 1, 3.235 (1.985–5.272, P <  0.001) for those with a composite risk index of 2, and 9.227 (3.568–23.86, P <  0.001) for those with composite risk index of 3 or above. The area under receiver-operator characteristic curve to predict postoperative complications was 0.653 (95% confidence interval 0.613–0.694, P <  0.001) for composite risk index compared with 0.622 (0.581–0.663, P <  0.001) for modified frailty index.

Conclusion

For older patients following elective digestive tract surgery, high preoperative composite risk index, a combination of frailty deficits, was independently associated with an increased risk of postoperative complications.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12871-021-01549-6.

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.

Risk factors for manifestations of frailty in hospitalized older adults: A qualitative study

Aims

To explore the experiences of older people and ward staff to identify modifiable factors (risk factors) which have the potential to reduce development or exacerbation of manifestations of frailty during hospitalization. To develop a theoretical framework of modifiable risk factors.

Design

Qualitative descriptive study.

Methods

Qualitative interviews with recently discharged older people (n = 18) and focus groups with ward staff (n = 22) were undertaken between July and October 2019. Data were analysed using directed content analysis.

Results

Themes identified related to attitude to risk, communication and, loss of routine, stimulation and confidence. Using findings from this study and previously identified literature, we developed a theoretical framework including 67 modifiable risk factors. Risk factors are grouped by patient risk factor domains (pain, medication, nutritional/fluid intake, mobility, elimination, infection, additional patient risk factors) and linked care management sub‐domains (including risk factors relating to the ward environment, process of care, ward culture or broader organizational set up). Many of the additional 36 risk factors identified by this study were related to care management sub‐domains.

Conclusion

A co‐ordinated approach is needed to address modifiable risk factors which lead to the development or exacerbation of manifestations of frailty in hospitalized older people. Risk assessment and management practices should not be duplicative and, should recognize and address modifiable risk factors which occur at the ward and organizational level.

Impact

Some older people leave hospital more dependent than when they come in and this is, in part, due to the environment and process of care and not just the severity of their presenting illness. Many of the risk factors identified need to be addressed at an organizational rather than individual level. Findings will inform a programme of research to develop and test a novel system of care aimed at preventing loss of independence in hospitalized older people.

Use of a 5-item modified Fragility Index for risk stratification in patients undergoing surgical management of distal humerus fractures

Introduction

We hypothesized that the modified Fragility Index (mFI), which predicts surgical complications, would be applicable to surgical complications in patients older than 50 years with distal humerus fractures (DHF).

Methods

We retrospectively reviewed the American College of Surgeons National Surgery Quality Improvement Program database, including patients older than 50 years who underwent open reduction and internal fixation of a DHF. A 5-item mFI score was calculated. Postoperative complications, readmission and reoperation rates, and length of stay were recorded. Univariate as well as a multivariable statistical analysis was performed, controlling for age, sex, body mass index, length of stay, and operative time.

Results

We identified 864 patients (mean age, 68.6 years ± 10.4), and 74.1% were female. As the mFI increased from 0 to 2 or greater, 30-day readmission rate increased from 3% to 10% (P value = .01), rate of discharge to rehabilitation facility increased from 12% to 32% (P value = .0), and any complication rate increased from 4% to 19% (P value = .0). Rates of pulmonary complications increased significantly in patients with the mFI of 2 or greater (P value = .047). Patients with the mFI of 2 or greater were nearly 4 times more likely to be readmitted within 30 days (odds ratio [OR] = 3.5, P value = .007) and had an increased OR of 30-day reoperation and any complication (OR = 3.7, P value = .02; OR = 4.5, P value = .00, respectively) on multivariate analysis.

Conclusion

A fragility state is predictive of postoperative complications, readmission, and reoperation after surgical management of DHF. Our data suggest that a fragility evaluation can help inform surgical decision-making in patients older than 50 years with DHF.

Fatal outcome and intensive care unit admission after total hip and knee arthroplasty: An analytic of preoperative frailty and comorbidities

BACKGROUND

With increasing demand for total hip arthroplasty (THA) and total knee arthroplasty (TKA), a higher percentage of patients are identified with comorbidities that might increase the risk of complications. We aimed to elucidate the preoperative characteristics of patients with a fatal outcome or admission to the Intensive Care Unit (ICU) within 90 days after THA or TKA. We arbitrarily hypothesized that more than 50% of those patients would be frail.

METHODS

This is a register based, explorative study including patients undergoing elective, unilateral, primary THA or TKA in the Capital Region of Denmark from 2010 to 2017, and who subsequently died or were admitted to the ICU within 90 days. The modified Frailty Index (mFI) was calculated from the medical records, and a score of ≥0.36 defined frailty.

RESULTS

A total of 33,758 patients underwent THA or TKA, and 284 patients (0.8%) died or were admitted to the ICU within 90 days. Fifty-seven patients (20%) were frail (95% CI 16.2-25.7%). The most common comorbidities were hypertension (63%) and pulmonary diseases (32%), and 56% used walking aids. Two or more comorbidities were present in 65% of patients, and 14% had no comorbidities at all.

CONCLUSION

Only 20% of patients with a fatal outcome or ICU admission after elective THA or TKA could be categorized as frail based on the mFI. Further studies with a prospective design are needed to clarify the mFI as a risk stratification tool in elderly multimorbid patients undergoing elective arthroplasty surgery.

The Hospital Frailty Risk Score is Not an Accurate Predictor of Treatment Costs for Total Joint Replacement Patients in a Medicare Bundled Payment Population

BACKGROUND

Medically complex patients require more resources and experience higher costs within total joint arthroplasty (TJA) bundled payment models. While risk adjustment would be beneficial for such patients, no tool currently exists which can reliably identify these patients preoperatively. The purpose of this study is to determine if the Hospital Frailty Risk Score (HFRS) is a valid predictor of high-TJA treatment costs.

METHODS

Retrospective analysis was performed on patients who underwent primary TJA between 2015 and 2020 from a single large orthopedic practice. ICD-10 codes from an institutional database were used to calculate HFRS. Cost data including inpatient, postacute, and episode of care (EOC) costs were collected. Charlson comorbidity index, demographics, readmissions, and complications were analyzed.

RESULTS

4936 patients had a calculable HFRS and those with intermediate and high scores experienced more frequent readmissions/complications after TJA, as well as higher EOC costs. However, HFRS did not reliably predict EOC costs, yielding a sensitivity of 49% and specificity of 66%. Multivariate analysis revealed that both patient age and sex are superior individual cost predictors when compared with HFRS. Secondary analyses indicated that HFRS more effectively predicts TJA complications and readmissions but is still nonideal for clinical applications.

CONCLUSION

HFRS has poor sensitivity as a predictor of high-EOC costs for TJA patients but has adequate specificity for predicting postoperative readmissions and complications. Further research is needed to develop a scale that can appropriately predict orthopedic cost outcomes.

Discharge to a Non-Home Destination Following Total Ankle Arthroplasty (TAA): An Analysis of the ACS-NSQIP Database

Despite an increasing trend in the number of total ankle arthroplasties (TAAs) being done globally, current evidence remains limited with regards to factors influencing a non-home discharge to a facility following the procedure. The 2012-2016 American College of Surgeons - National Surgical Quality Improvement Program database was queried using Current Procedural Terminology code 27702 for patients undergoing TAA. Discharge to a destination was categorized into home and non-home. Multivariate analysis using logistic regression models were used to evaluate independent risk factors associated with non-home discharge disposition. As a secondary objective, we also evaluated risk factors associated with a prolonged length of stay (LOS) >2 days. A total of 722 TAAs were retrieved for final analysis. A total of 68 (9.4%) patients experienced a non-home discharge following the surgery. Independent factors for a non-home discharge were a LOS >2 days (odds ratio [OR] 10.51), age ≥65 years (OR 4.52), female (OR 2.90), hypertension (OR 2.63), and American Society of Anesthesiologists >II (OR 2.01). A total of 174 (24.1%) patients stayed in the hospital for more than 2 days. Significant risk factors for LOS >2 days were age ≥65 years (OR 1.62), female (OR 1.53), operative time >150 minutes (OR 1.91), and an inpatient admission status (OR 4.74). With limited literature revolving around outcomes following TAA, the current study identifies significant predictors associated with a non-home discharge. Providers should consider preoperatively risk-stratifying and expediting discharge in these patients to reduce the costs associated with a prolonged hospital length of stay.

Frailty, Race/Ethnicity, Functional Status, and Adverse Outcomes After Total Hip/Knee Arthroplasty: A Moderation Analysis

BACKGROUND

Although frailty has been shown to be associated with adverse outcomes in patients undergoing total hip arthroplasty (THA) and total knee arthroplasty (TKA), prior studies have not examined how race/ethnicity might moderate these associations. We aimed to assess race/ethnicity as a potential moderator of the associations of frailty and functional status with arthroplasty outcomes.

METHODS

The National Surgical Quality Improvement Program was queried for patients who underwent THA or TKA from 2011 to 2017. Frailty was assessed using the modified frailty index. Regression analyses were conducted to examine associations connecting frailty/functional status with 30-day readmission, adverse discharge, and length of stay (LOS). Further analyses were conducted to investigate race/ethnicity as a potential moderator of these relationships.

RESULTS

We identified 219,143 TKA and 130,022 THA patients. Frailty and nonindependent functional status were positively associated with all outcomes (P < .001). Compared to White non-Hispanic patients, Black non-Hispanic patients had higher odds for all outcomes after TKA (P < .001) and for adverse discharge/longer LOS after THA (P < .001). Similar associations were observed for Hispanics for the adverse discharge/LOS outcomes. Race/ethnicity moderated the effects of frailty in TKA for all outcomes and in THA for adverse discharge/LOS. Race/ethnicity moderated the effects of nonindependent function in TKA for adverse discharge/LOS and on LOS alone for THA.

CONCLUSION

Disparities for Black non-Hispanic and Hispanic patients persist for readmission, adverse discharge, and LOS. However, the effects of increasing frailty and nonindependent functional status on these outcomes were the most pronounced among White non-Hispanic patients.

A Systematic Review and Meta-Analysis of Preoperative Frailty Instruments Derived From Electronic Health Data

BACKGROUND

Frailty is a strong predictor of adverse outcomes in the perioperative period. Given the increasing availability of electronic medical data, we performed a systematic review and meta-analysis with primary objectives of describing available frailty instruments applied to electronic data and synthesizing their prognostic value. Our secondary objectives were to assess the construct validity of frailty instruments that have been applied to perioperative electronic data and the feasibility of electronic frailty assessment.

METHODS

Following protocol registration, a peer-reviewed search strategy was applied to Medline, Excerpta Medica dataBASE (EMBASE), Cochrane databases, and the Comprehensive Index to Nursing and Allied Health literature from inception to December 31, 2019. All stages of the review were completed in duplicate. The primary outcome was mortality; secondary outcomes included nonhome discharge, health care costs, and length of stay. Effect estimates adjusted for baseline illness, sex, age, procedure, and urgency were of primary interest; unadjusted and adjusted estimates were pooled using random-effects models where appropriate or narratively synthesized. Risk of bias was assessed.

RESULTS

Ninety studies were included; 83 contributed to the meta-analysis. Frailty was defined using 22 different instruments. In adjusted data, frailty identified from electronic data using any instrument was associated with a 3.57-fold increase in the odds of mortality (95% confidence interval [CI], 2.68-4.75), increased odds of institutional discharge (odds ratio [OR], 2.40; 95% CI, 1.99-2.89), and increased costs (ratio of means, 1.54; 95% CI, 1.46-1.63). Most instruments were not multidimensional, head-to-head comparisons were lacking, and no feasibility data were reported.

CONCLUSIONS

Frailty status derived from electronic data provides prognostic value as it is associated with adverse outcomes, even after adjustment for typical risk factors. However, future research is required to evaluate multidimensional instruments and their head-to-head performance and to assess their feasibility and clinical impact.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

Hospital Frailty Risk Score predicts adverse events in revision total hip and knee arthroplasty

Introduction

The Hospital Frailty Risk Score (HFRS) is a validated risk stratification model referring to the cumulative deficits model of frailty. The purpose of this study was to evaluate the HFRS as a predictor of 90-day readmission and complications after revision total hip (rTHA) and knee (rTKA) arthroplasty.

Methods

In a retrospective analysis of 565 patients who had undergone rTHA or rTKA between 2011 and 2019, the HFRS was calculated for each patient. Rates of adverse events were compared between patients with low and intermediate or high frailty risk. Multivariable logistic regression models were used to assess the relationship between the HFRS and post-operative adverse events.

Results

Patients with intermediate or high frailty risk showed higher rates of readmission (30days: 23.8% vs. 9.9%, p = 0.006; 90days: 26.2% vs. 13.0%, p < 0.018), surgical complications (28.6% vs. 7.8%, p < 0.001), medical complications (11.9% vs. 1.0%, p < 0.001), other complications (28.6% vs. 2.3%, p < 0.001), Clavien-Dindo grade IV complications (14.3% vs. 4.8%, p = 0.009), and transfusion (33.3% vs. 6.1%, p < 0.001). Multivariable logistic regression analyses revealed a high HFRS as independent risk factor for surgical complications (OR = 3.45, 95% CI 1.45-8.18, p = 0.005), medical complications (OR = 7.29, 95% CI 1.72-30.97, p = 0.007), and other complications (OR = 14.15, 95% CI 5.16-38.77, p < 0.001).

Conclusion

The HFRS predicts adverse events after rTHA and rTKA. As it derives from routinely collected data, the HFRS could be implemented automated in hospital information systems to facilitate identification of at-risk patients.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00264-021-05038-w.

Risk Factors for Discharge to a Non-Home Destination and Reoperation Following Outpatient Total Hip Arthroplasty (THA) in Medicare-Eligible Patients

Introduction:

The Centers for Medicare and Medicaid Services removed total hip arthroplasty (THA) from the inpatient-only (IO) list in January 2020. Given this recommendation, we analyzed Medicare-eligible patients undergoing outpatient THA to understand risk factors for nonroutine discharge, reoperations, and readmissions.

Materials and Methods:

The 2015-2018 American College of Surgeons–National Surgical Quality Improvement Program database was queried using Current Procedural Terminology code 27130 for Medicare eligible patients (≥ 65 years of age) undergoing outpatient THA. Postoperative discharge destination was categorized into home and non-home. Multivariate logistic regression models were used to evaluate risk factors associated with non-home discharge disposition. Secondarily, we evaluated rates and risk factors associated with 30-day reoperations and readmissions.

Results:

A total of 1095 THAs were retrieved for final analysis. A total of 108 patients (9.9%) experienced a non-home discharge postoperatively. Patients were discharged to rehab (n = 47; 4.3%), a skilled care facility (n = 47; 4.3%), a facility that was “home” (n = 8; 0.7%), a separate acute care facility (n = 5; 0.5%), or an unskilled facility (n = 1; 0.1%). Independent factors for a non-home discharge were American Society of Anesthesiologists Class >II (odds ratio [OR] 2.74), operative time >80 minutes (OR 2.42), age >70 years (OR 2.20), and female gender (OR 1.67). Eighteen patients (1.6%) required an unplanned reoperation within 30 days. A total of 40 patients (3.7%) required 30-day readmissions, with 35 readmissions related to the original THA procedure. Independent risk factors for 30-day reoperation were COPD (OR 5.85) and HTN (OR 5.24). Independent risk factors for 30-day readmission were HTN (OR 4.35) and Age >70 (OR 2.48).

Discussion:

The current study identifies significant predictors associated with a non-home discharge, reoperation, and readmission in Medicare-aged patients undergoing outpatient THA.

Conclusion:

Providers should consider preoperatively risk-stratifying patients to reduce the costs associated with unplanned discharge destination, complication or reoperation.

Modified Frailty Index Independently Predicts Postoperative Delirium and Delayed Neurocognitive Recovery After Elective Total Joint Arthroplasty

BACKGROUND

Postoperative delirium (POD) and delayed neurocognitive recovery are 2 common subtypes of postoperative neurocognitive disorders that occur after total joint arthroplasty (TJA), associated with inferior surgical outcomes. The modified frailty index (mFI) reflects the status of physiologic decline and predicts adverse outcomes in various surgical patient cohorts. This study aims at examining the discriminatory value of the mFI to predict POD and delayed neurocognitive recovery after TJA.

METHODS

The study includes 383 participants admitted for primary elective TJA under general anesthesia combined with inhalation agents over the period from January 2018 to December 2019. POD and delayed neurocognitive recovery, based on the criteria provided by the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (2013), were assessed for each enrolled patient. A multivariate logistic regression analysis was performed to screen potential risk factors for POD and delayed neurocognitive recovery.

RESULTS

The total incidence of POD and the delayed neurocognitive recovery of this cohort were 17.2% (66/383) and 24.8% (95/383), respectively. Our data from the multivariate logistic regression analysis indicated that a higher age (≥72 years) and a higher mFI level (≥0.18) were 2 independent risk factors for both POD and delayed neurocognitive recovery in elderly subjects after TJA.

CONCLUSION

The mFI may be a promising predictor for both POD and delayed neurocognitive recovery in elderly subjects following TJA. Preoperative mFI evaluation can be used for risk stratification and offers significant potential in clinical application.

Use of a 5-item modified Fragility Index for risk stratification in patients undergoing surgical management of proximal humerus fractures

Hypothesis

We hypothesized that the modified Fragility Index (mFI) would predict complications in patients older than 50 years who underwent operative intervention for a proximal humerus fracture.

Methods

We retrospectively reviewed the American College of Surgeons National Surgery Quality Improvement Program database, including patients older than 50 years who underwent open reduction and internal fixation of a proximal humerus fracture. A 5-item mFI score was then calculated for each patient. Postoperative complications, readmission and reoperation rates as well as length of stay (LOS) were recorded. Univariate as well as multivariable statistical analyses were performed, controlling for age, sex, body mass index, LOS, and operative time.

Results

We identified 2,004 patients (median age, 66 years; interquartile range: 59-74), of which 76.2% were female. As mFI increased from 0 to 2 or greater, 30-day readmission rate increased from 2.8% to 6.7% (P-value = .005), rate of discharge to rehabilitation facility increased from 7.1% to 25.3% (P-value < .001), and rates of any complication increased from 6.5% to 13.9% (P-value < .001). Specifically, the rates of renal and hematologic complications increased significantly in patients with mFI of 2 or greater (P-value = .042 and P-value < .001, respectively). Compared with patients with mFI of 0, patients with mFI of 2 or greater were 2 times more likely to be readmitted within 30 days (odds ratio = 2.2, P-value .026). In addition, patients with mFI of 2 or greater had an increased odds of discharge to a rehabilitation center (odds ratio = 2.3, P-value < .001). However, increased fragility was not significantly associated with an increased odds of 30-day reoperation or any complication after controlling for demographic data, LOS, and operative time.

Conclusion

An increasing level of fragility is predictive of readmission and discharge to a rehabilitation center after open reduction and internal fixation of proximal humerus fractures. Our data suggest that a simple fragility evaluation can help inform surgical decision-making and counseling in patients older than 50 years with proximal humerus fractures.

Predicting hospital outcomes with the reported edmonton frail scale-Thai version in orthopaedic older patients

AIMS AND OBJECTIVES

To test the ability of the Reported Edmonton Frail Scale-Thai version to predict hospital outcomes compared with standard preoperative assessment measures (American Society of Anesthesiologists physical status classification and the Elixhauser Comorbidity Measure) in older Thai orthopaedic patients.

BACKGROUND

Frailty is a common geriatric condition. No previous studies have assessed frailty among orthopaedic patients in Thailand. Effective frailty screening could enhance quality of care.

DESIGN

Prospective cohort study in a university hospital.

METHODS

Two hundred hospitalised patients, aged 60 years or older and scheduled for orthopaedic surgery, participated in the study. Frailty was evaluated using the Reported Edmonton Frail Scale-Thai version. Multiple Firth logistic regression was used to model the effect of frailty on postoperative complications, postoperative delirium and discharge disposition. Length of stay was examined using Poisson regression. Comparing predictability of the instruments, the area under the receiver operating characteristic curve and mean squared errors were evaluated. The STROBE guideline was used.

RESULTS

Participants' mean age was 72 years; mostly were female, frail and underwent knee, spine and/or hip surgery. Poor health outcomes including postoperative complications, postoperative delirium, and not being discharged to the home were commonly identified. The length of stay varied from three days to more than ten weeks. Frailty was significantly associated with postoperative complications, postoperative delirium and prolonged length of stay. The Reported Edmonton Frail Scale-Thai version revealed good performance for predicting postoperative complications and postoperative delirium and was improved by combining with standard assessments.

CONCLUSION

The Reported Edmonton Frail Scale-Thai version, alone or combined with standard assessment, was useful for predicting adverse outcomes in older adults undergoing orthopaedic surgery.

RELEVANCE TO CLINICAL PRACTICE

These findings indicate that nurse professionals should apply culturally sensitive frailty screening to proactively identify patients' risk of frailty, improve care quality and prevent adverse outcomes.

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

BACKGROUND

The Hospital Frailty Risk Score (HFRS) is a validated geriatric comorbidity measure derived from routinely collected administrative data. The purpose of this study is to evaluate the utility of the HFRS as a predictor for postoperative adverse events after primary total hip (THA) and knee (TKA) arthroplasty.

METHODS

In a retrospective analysis of 8250 patients who had undergone THA or TKA between 2011 and 2019, the HFRS was calculated for each patient. Reoperation rates, readmission rates, complication rates, and transfusion rates were compared between patients with low and intermediate or high frailty risk. Multivariate logistic regression models were used to assess the relationship between the HFRS and postoperative adverse events.

RESULTS

Patients with intermediate or high frailty risk showed a higher rate of reoperation (10.6% vs 4.1%, P < .001), readmission (9.6% vs 4.3%, P < .001), surgical complications (9.1% vs 1.8%, P < .001), internal complications (7.3% vs 1.1%, P < .001), other complications (24.4% vs 2.0%, P < .001), Clavien-Dindo grade IV complications (4.1% vs 1.5%, P < .001), and transfusion (10.4% vs 1.3%, P < .001). Multivariate logistic regression analyses revealed a high HFRS as independent risk factor for reoperation (odds ratio [OR] = 2.1; 95% confidence interval [CI], 1.46-3.09; P < .001), readmission (OR = 1.78; 95% CI, 1.21-2.61; P = .003), internal complications (OR = 3.72; 95% CI, 2.28-6.08; P < .001), surgical complications (OR = 3.74; 95% CI, 2.41-5.82; P < .001), and other complications (OR = 9.00; 95% CI, 6.58-12.32; P < .001).

CONCLUSION

The HFRS predicts adverse events after THA and TKA. As it derives from routinely collected data, the HFRS enables hospitals to identify at-risk patients without extra effort or expense.

LEVEL OF EVIDENCE

Level III-retrospective cohort study.

Concomitant Malnutrition and Frailty Are Uncommon, but Significant Risk Factors for Mortality and Complication Following Primary Total Knee Arthroplasty

BACKGROUND

Total knee arthroplasty (TKA) demand continues to rise, but we are also gaining greater insight into patient risk factors for postoperative complications and excess resource utilization. There has been growing interest in frailty and malnutrition as risk factors, although they are often mistakenly used interchangeably. We aimed at identifying the incidence of their coexistence, and the magnitude of risk they confer to TKA patients.

METHODS

We queried the American College of Surgeons-National Surgery Quality Improvement Program database to identify 4 patient cohorts: healthy/normal serum albumin, healthy/hypoalbuminemic patients, normoalbuminemic/medically frail patients (defined by modified frailty index), and hypoalbuminemic/frail patients. We performed both univariate and multivariate analyses to quantify the risk conferred by each condition in isolation, and in coexistence.

RESULTS

Of 179,702 elective TKA cases from 2006 to 2018, 18.6% of patients were frail only, 3.0% were hypoalbuminemic -only, and just 1.2% were both frail and hypoalbuminemic. The raw rate of any complication was highest in frail/hypoalbuminemic patients (8.7%), 5.2% in hypoalbuminemic patients, 4.8% in frail patients, and just 3.4% in healthy patients (P < .001); the multivariate model revealed odds ratio of a complication in frail/hypoalbuminemic group of 2.40 (95% confidence interval = 1.27-1.63; P < .001). Mortality within 30 days was highest in the frail/hypoalbuminemic cohort (1.0%), and just 0.1% in healthy patients, and the multivariate model noted an odds ratio of 9.43 for these patients (95% confidence interval = 5.92-14.93; P < .001). The odds of all studied complications were highest in the frail/hypoalbuminemic group.

CONCLUSION

Frailty and hypoalbuminemia represent distinct conditions and are independent risk factors for a complication after TKA. Their coexistence imparts a synergistic association with the risk of post-TKA complications.

Influence of Frailty on Outcome in Older Patients Undergoing Non-Cardiac Surgery - A Systematic Review and Meta-Analysis

Frailty is increasingly recognized as a better predictor of adverse postoperative events than chronological age. The objective of this review was to systematically evaluate the effect of frailty on postoperative morbidity and mortality. Studies were included if patients underwent non-cardiac surgery and if frailty was measured by a validated instrument using physical, cognitive and functional domains. A systematic search was performed using EMBASE, MEDLINE, Web of Science, CENTRAL and PubMed from 1990 - 2017. Methodological quality was assessed using an assessment tool for prognosis studies. Outcomes were 30-day mortality and complications, one-year mortality, postoperative delirium and discharge location. Meta-analyses using random effect models were performed and presented as pooled risk ratios with confidence intervals and prediction intervals. We included 56 studies involving 1.106.653 patients. Eleven frailty assessment tools were used. Frailty increases risk of 30-day mortality (31 studies, 673.387 patients, risk ratio 3.71 [95% CI 2.89-4.77] (PI 1.38-9.97; I2=95%) and 30-day complications (37 studies, 627.991 patients, RR 2.39 [95% CI 2.02-2.83). Risk of 1-year mortality was threefold higher (six studies, 341.769 patients, RR 3.40 [95% CI 2.42-4.77]). Four studies (N=438) reported on postoperative delirium. Meta-analysis showed a significant increased risk (RR 2.13 [95% CI 1.23-3.67). Finally, frail patients had a higher risk of institutionalization (10 studies, RR 2.30 [95% CI 1.81- 2.92]). Frailty is strongly associated with risk of postoperative complications, delirium, institutionalization and mortality. Preoperative assessment of frailty can be used as a tool for patients and doctors to decide who benefits from surgery and who doesn't.

Combined Malnutrition and Frailty Significantly Increases Complications and Mortality in Patients Undergoing Elective Total Hip Arthroplasty

BACKGROUND

The demand for total hip arthroplasty (THA) continues to rise. While prior work has examined frailty and malnutrition independently, the additive effects of these conditions are unknown. Therefore, the purpose of this study was to evaluate the individual and combined influence of malnutrition and frailty in the elective THA patient.

METHODS

This is a retrospective cohort study. Patients undergoing elective, primary THA were identified from the American College of Surgeons-National Surgery Quality Improvement Program database. Patients with hip fracture were excluded. Preoperative serum albumin levels (malnutrition = albumin <3.5 g/dL) and 5-item modified frailty index scores (≥2 = frail) were collected. Four cohorts were created: (1) Healthy (N), (2) Frail-only (F), (3) Hypoalbuminemia-only (H), and (4) Hypoalbuminemia and frail (HF). Demographic and complication data were collected, and statistical analysis was performed comparing complications between cohorts.

RESULTS

105,997 patients undergoing THA were identified for inclusion. The majority (82%) of patients were healthy (14% F, 3% H, and 1% HF). The HF group was found to have higher odds of complication compared with all other groups (HF vs N; odds ratio [OR] 3.7, 95% confidence interval [CI] 3.07-4.46, P < .001). Notably, patients in the HF cohort had a 1.9% 30-day mortality rate (HF vs N; OR 12.66, 95% CI 7.81-20.83, P < .001). Additionally, HF patients had higher odds of increased resource utilization when compared with all other groups (P < .001).

CONCLUSIONS

Frailty and malnutrition both represent physiologically compromised states but are only weakly correlated. The concurrent presence of frailty and malnutrition in the THA patient has significant detrimental impacts. Further research will be needed to delineate to what degree these risk factors are modifiable.

Modified frailty index as a predictor of the long-term functional result in patients undergoing primary total hip arthroplasty

OBJECTIVES

Total hip arthroplasty (THA) is a well-approved method for the treatment of end-stage osteoarthritis (OA). Due to rising life expectancy, elderly patients burdened with multimorbidity are subjected to THA. Some of these patients present significant depletion of physiological reserves, which is described as the frailty syndrome. This study aims to assess the influence of frailty on the THA outcomes in OA patients.

MATERIAL AND METHODS

A single-center observational study was conducted to investigate the effect of frailty measured by the modified frailty index-5 (mFI-5) and modified frailty index-11 (mFI-11) on the long-term post-THA outcomes. The analysis included 597 initially screened patients subjected to unilateral, primary THA due to hip OA. The outcomes were assessed during a follow-up visit 3 years after THA. The primary outcome measures were patient-reported (the Western Ontario and McMaster Universities Osteoarthritis Index - WOMAC) and physician-reported scales (the Harris Hip Score - HHS). The secondary outcome measures were the length of hospital stay (LOS), pain complaints, complications, and satisfaction. A correlation analysis was performed (Spearman's R).

RESULTS

Three hundred sixty-five patients met the eligibility criteria, including 57.26% women (n = 209) and 42.74% men (n = 156). The mean age was 65.11 ±12.12 years. Patients with high values of mFI-5 (r = 0.19; p < 0.05) and mFI-11 (r = 0.22; p < 0.01) achieved less satisfactory functional outcomes after THA (WOMAC). After age adjustment, mFI-11 (r = 0.17; p < 0.05) was a better predictor of functional outcome (WOMAC) than mFI-5 was (r = 0.15; p = 0.07). The mFI-5 (r = 0.25; p < 0.001) and mFI-11 (r = 0.29; p < 0.001) correlated with longer LOS.

CONCLUSIONS

The modified frailty index-5 (mFI-5) and modified frailty index-11 (mFI-11) are useful tools to identify patients subjected to THA at a high risk of poor functioning after the procedure. They can be used in preoperative counseling before obtaining informed consent to support surgical decision-making. To our knowledge, this is the first study investigating the impact of the mFI on long-term postoperative functional results in OA treated with THA.

Informed Consent in Patients With Frailty Syndrome

Frailty is present in more than 30% of individuals older than 65 years of age presenting for anesthesia and surgery, and poses a number of unique issues in the informed consent process. Much attention has been directed at the increased incidence of poor outcomes in these individuals, including postoperative mortality, complications, and prolonged length of stay. These material risks are not generally factored into conventional risk predictors, so it is likely that individuals with frailty are never fully informed of the true risk for procedures undertaken in the hospital setting. While the term "frailty" has the advantage of alerting to risk and allowing appropriate care and interventions, the term has the social disadvantage of encouraging objectivity to ageism. This may encourage paternalistic behavior from carers and family encroaching on self-determination and, in extreme cases, manifesting as coercion and compromising autonomy. There is a high prevalence of neurocognitive disorder in frail elderly patients, and care must be taken to identify those without capacity to provide informed consent; equally important is to not exclude those with capacity from providing consent. Obtaining consent for research adds an extra onus to that of clinical consent. The informed consent process in the frail elderly poses unique challenges to the busy clinical anesthesiologist. At the very least, an increased time commitment should be recognized. The gap between theoretical goals and actual practice of informed consent should be acknowledged.

Sarcopenia in Patients Undergoing Open Ventral Hernia Repair

Radiologic indicators of sarcopenia have been associated with adverse operative outcomes in some surgical populations. This study assesses the association of radiologic indicators of frailty with outcomes after open ventral hernia repair (OVHR). A prospective, institutional, herniaspecific database was queried for patients undergoing OVHR from 2007 to 2018 with preoperative CT. Psoas muscle cross-sectional area at L3 was measured and adjusted for height (skeletal muscle index (SMI)). L3 vertebral body density (L3 VBD) was measured. Demographics and outcomes were evaluated as related to SMI and L3 VBD. Of 1178 patients, 9.7 per cent of females and 15.8 per cent of males had sarcopenia and 11.6 per cent of females and 9.2 per cent of males had osteopenia. Neither sarcopenia nor osteopenia were associated with outcomes of wound infection, read-mission, reoperation, hernia recurrence, or major complications. When examined as continuous variables or by quartile, SMI and L3 VBD were not associated with adverse outcomes, including in subsets of male or female patients, the elderly, contaminated cases, and the obese. Radiologic markers of sarcopenia and osteopenia are not associated with adverse outcomes after OVHR. Further study should examine age or other potential predictors of outcomes in this patient population, such as independent status.