Association of a modified frailty index with mortality after femoral neck fracture in patients aged 60 years and older

Hemiarthroplasty for Femoral Neck Fracture in the Nonagenarian Population: A Comparative Study on Survival Outcomes

Purpose

The study aimed to assess the impact of age and comorbidities on mortality in patients with femur neck fractures, focusing on those individuals aged over 90 years. The objective was to determine if chronological age alone defined frailty and if a dedicated hip fracture unit would improve patient outcomes.

Materials and Methods

The retrospective study was conducted over 16 months (January 2017 to April 2018), and included patients undergoing hemiarthroplasty, categorized into Group 1 (aged <90 years) and Group 2 (aged 90 years and above). Detailed data were collected on demographics, mobility, co-morbidity, operative aspects, delays, and mortality. Statistical analysis employed IBM SPSS ver. 25.0, utilizing Mann-Whitney U, Fisher exact, and chi-squared tests with a significance level of <0.05.

Results

Of the 203 patients in our study cohort, 151 were in Group 1, and 52 in Group 2. A significant correlation between high American Society of Anesthesiologists (ASA) grade and mortality after one year (P=0.028) was revealed by logistic regression. Spearman test indicated a positive correlation (0.354) between Charlson comorbidity index scores and ASA grades. Compared to Group 1, Group 2 showed no significant decrease in survival at any studied time point.

Conclusion

Patients over 90 years did not represent a uniquely high-risk subset. Frailty was not defined solely by chronological age; a combination of comorbidities and biological age influenced survival rates. The study reinforced that treatment in dedicated hip fracture units and adherence to established guidelines, led to positive outcomes, and reduced mortality, irrespective of age groups.

An External Validation of the Pathologic Fracture Mortality Index for Predicting 30-day Postoperative Morbidity Using 978 Institutional Patients

INTRODUCTION

Skeletal metastases increase the risk of pathologic fractures, causing functional impairment and pain. Predicting morbidity in patients undergoing surgical fixation for these fractures is challenging due to the complexity of metastatic disease. The Pathologic Fracture Mortality Index (PFMI) was developed to predict 30-day postoperative morbidity in long bone fractures caused by metastases. External validation is necessary for clinical use. This study aims to evaluate the following: (1) How well does the PFMI predict 30-day medical, surgical, utilization, and all-cause morbidity after pathologic fracture fixation in an external cohort of patients with long bone metastases? (2) How does the performance of the PFMI compare to established predictive indices including the American Society of Anesthesiologists (ASA) classification score, the modified 5-Item Frailty Index (mF-I5), and the modified Charlson Comorbidity Index (mCCI)?

METHODS

We analyzed 978 patients who underwent internal fixation for pathologic fractures at two urban tertiary centers. The area under the receiver operating characteristic curve (AUC) was calculated for each predictive index to assess their accuracy in predicting 30-day morbidity across medical, surgical, utilization, and all-cause categories.

RESULTS

All four predictive indices demonstrated suboptimal performance, with AUC values ranging from 0.51-0.62, 0.45-0.51, 0.51-0.62, and 0.50-0.57 for medical, surgical, utilization, and all-cause morbidity, respectively. The PFMI outperformed the ASA ( P < 0.001), mF-I5 ( P = 0.018), and mCCI ( P = 0.034) in predicting utilization morbidity. It also better predicted medical ( P = 0.021) and all-cause ( P = 0.009) morbidity than ASA but did not outperform mF-I5 or mCCI in these areas. The PFMI did not surpass any indices in surgical morbidity.

CONCLUSION

None of the indices reached the ideal AUC of 0.80 for any morbidity type, emphasizing the need for refinement. Updating these tools with contemporary data and exploring new prognostic factors is critical to improve morbidity risk stratification in metastatic bone disease.

Blood and Bone-Derived DNA Methylation Ages Predict Mortality After Geriatric Hip Fracture: A Pilot Study

BACKGROUND

The purpose of this study was to (1) perform the first analysis of bone-derived DNA methylation, (2) compare DNA methylation clocks derived from bone with those derived from whole blood, and (3) establish a relationship between DNA methylation age and 1-year mortality within the geriatric hip fracture population.

METHODS

Patients ≥65 years old who presented to a Level-I trauma center with a hip fracture were prospectively enrolled from 2020 to 2021. Preoperative whole blood and intraoperative bone samples were collected. Following DNA extraction, RRBS (reduced representation bisulfite sequencing) libraries for methylation clock analysis were prepared. Sequencing data were analyzed using computational algorithms previously described by Horvath et al. to build a regression model of methylation (biological) age for each tissue type. Student t tests were used to analyze differences (Δ) in methylation age versus chronological age. Correlation between blood and bone methylation ages was expressed using the Pearson R coefficient.

RESULTS

Blood and bone samples were collected from 47 patients. DNA extraction, sequencing, and methylation analysis were performed on 24 specimens from 12 subjects. Mean age at presentation was 85.4 ± 8.65 years. There was no difference in DNA extraction yield between the blood and bone samples (p = 0.935). The mean follow-up duration was 12.4 ± 4.3 months. The mortality cohort (4 patients, 33%) showed a mean ΔAgeBone of 18.33 ± 6.47 years and mean ΔAgeBlood of 16.93 ± 4.02 years. In comparison, the survival cohort showed a significantly lower mean ΔAgeBone and ΔAgeBlood (7.86 ± 6.7 and 7.31 ± 7.71 years; p = 0.026 and 0.039, respectively). Bone-derived methylation age was strongly correlated with blood-derived methylation age (R = 0.81; p = 0.0016).

CONCLUSIONS

Bone-derived DNA methylation clocks were found to be both feasible and strongly correlated with those derived from whole blood within a geriatric hip fracture population. Mortality was independently associated with the DNA methylation age, and that age was approximately 17 years greater than chronological age in the mortality cohort. The results of the present study suggest that prevention of advanced DNA methylation may play a key role in decreasing mortality following hip fracture.

LEVEL OF EVIDENCE

Prognostic Level I . See Instructions for Authors for a complete description of levels of evidence.

Association of frailty with adverse outcomes in surgically treated geriatric patients with hip fracture: A meta-analysis and trial sequential analysis

OBJECTIVE

Some studies have associated frailty and prognostic outcomes in geriatric hip fracture patients, but whether frailty can predict postoperative outcomes remains controversial. This review aims to assess the relationship between frailty and adverse postoperative outcomes in geriatric patients with hip fracture.

METHODS

Based on electronic databases, including PubMed, Embase, Web of Science, Cumulative Index to Nursing and Allied Health Literature, the Cochrane Library, Chinese National Knowledge Infrastructure, and WanFang Data, we systematically searched for studies that investigated the association between frailty and adverse outcomes among patients aged 60 or over after hip fracture surgery. Stata 17.0 and Trial Sequential Analysis viewer software were used to obtain pooled estimates and verify whether the sample size was sufficient and the evidence robust.

RESULTS

Twenty-one studies involving 49,196 patients were included for quantitative analysis. Compared with nonfrail patients, frail patients had a higher risk of inpatient mortality (risk ratio [RR] = 1.93, 95% confidence interval [CI]: 1.66-2.23), 30-day mortality (RR = 2.13, 95% CI: 1.23-3.70), and 1-year mortality (RR = 2.44, 95% CI: 1.47-4.04). Frailty can significantly predict postoperative complications (RR = 1.76, 95% CI: 1.38-2.23), including delirium, pneumonia, cardiac complications, urinary tract infection, and surgical site infection; the association between frailty and deep venous thrombosis/pulmonary embolism and acute kidney injury needs further analysis. Trial sequential analysis showed that the findings regarding mortality were reliable and robust.

CONCLUSION

This meta-analysis provides detailed information indicating that frailty is a substantial predictor of mortality and selected postoperative complications.

Preoperative diagnosis of frailty

The aging world population obliges physicians to establish measures to optimize and estimate the outcomes of increasingly frail patients. Thus, in the last few years there has been an increase in the application of frailty indices. Multiple scales have emerged that can be applied in the perioperative setting. Each one has demonstrated some utility, either by way of establishing postoperative prognosis or as a method for the clinical optimization of patient care. Anaesthesiologists are offered a wide choice of scales, the characteristics and appropriate management of which they are often unaware. This narrative review aims to clarify the concept of frailty, describe its importance in the perioperative setting and evaluate the different scales that are most applicable to the perioperative setting. It will also establish paths for the future optimization of patient care.

Age-Adjusted Modified Frailty Index: Association With Hip Fracture Discharge Functional Dependence

INTRODUCTION

Hip fractures are a common traumatic injury that carry significant morbidity and mortality, and prognostication of functional outcome is becoming increasingly salient. Across multiple surgical specialties, the five-item and 11-item Modified Frailty Index (mFI-5 and mFI-11) have been found to be convenient, quick, and sensitive tools for identifying patients at risk for perioperative complications. A prior study described the superiority of an Age-Adjusted Modified Frailty Index (aamFI) for predicting perioperative complications compared to the mFI-5 in an elective hip surgery. We sought to externally validate the aamFI in a multicenter hip fracture cohort and hypothesize that these risk scores would not only predict functional dependence (FD) at discharge, but that the aamFI would outperform the mFI-5 and mFI-11.

METHODS

The Pennsylvania Trauma Systems Foundation registry was queried from 2010 to 2020 for CPT codes, ICD-9 and ICD-10 codes pertaining to hip fracture patients. Patients with missing locomotion and transfer mobility data were excluded. FD status was determined by discharge locomotion and transfer mobility scores per existing methodology. Univariable and Multivariable analysis as well as receiver operator characteristic curves were used to evaluate and compare the three indices for prediction of functional status at discharge. P value < 0.05 was considered significant.

RESULTS

Twelve thousand seven hundred and forty patients met inclusion criteria (FD: 8183; functional independent 4557). On univariable logistic regression analysis, the mFI-11 (odds ratio [OR] 1.52, 95% confidence interval [CI] 1.47-1.58, P < 0.05), mFI-5 (OR 1.57, 95% CI 1.51-1.63), and aamFI (OR 1.57, 95% CI 1.52-1.62, P < 0.05) were associated with FD. On multivariable logistic regression analysis for predictors of FD, when controlling for age (for the mFI-11 and mFI-5), sex, injury severity score, and admission vitals (systolic blood pressure and respiratory rate), higher mFI-11 and mFI-5 scores independently predicted FD at discharge (OR 1.23, 95% CI 1.18-1.28, P < 0.05 and OR 1.23, 95% CI 1.18-1.29P < 0.05 respectively). Higher aaMFI scores had superior association with functional dependence (OR 1.59, 95% CI 1.54-1.64, P < 0.05). Receiver operator characteristic curves for the mFI-11, mFI-5, and aaMFI showed comparable diagnostic strength (area under curve [AUC] = 0.63 95% CI 0.62-0.64, P < 0.05; AUC = 0.63 95% CI 0.62-0.64, P < 0.05; and AUC = 0.67 95% CI 0.65-0.67, P < 0.05 respectively).

CONCLUSIONS

The mFI-11, mFI-5, and aamFI are predictive of functional outcome following hip fracture. By including age, the aamFI retains the ease of use of the mFI-5 while improving its prognostic utility for functional outcome.

Predicting Risk of 30-day Postoperative Morbidity Using the Pathologic Fracture Mortality Index

INTRODUCTION

The purpose of this study was to evaluate the ability of the Pathologic Fracture Mortality Index (PFMI) to predict the risk of 30-day morbidity after pathologic fracture fixation and compare its efficacy with those of the American Society of Anesthesiologists (ASA) physical status, modified Charlson Comorbidity Index (mCCI), and modified frailty index (mFI-5).

METHODS

Cohorts of 1,723 patients in the American College of Surgeons National Surgical Quality Improvement Program database from 2005 to 2020 and 159 patients from a tertiary cancer referral center who underwent fixation for impending or completed pathologic fractures of long bones were retrospectively analyzed. National Surgical Quality Improvement Program morbidity variables were categorized into medical, surgical, utilization, and all-cause. PFMI, ASA, mCCI, and mFI-5 scores were calculated for each patient. Area under the curve (AUC) was used to compare efficacies.

RESULTS

AUCs predicting all-cause morbidity were 0.62, 0.54, and 0.56 for the PFMI, ASA, and mFI-5, respectively. The PFMI outperformed the ASA and mFI-5 in predicting all-cause ( P < 0.01), medical ( P = 0.01), and utilization ( P < 0.01) morbidities. In the 2005 to 2012 subset, the PFMI outperformed the ASA, mFI-5, and mCCI in predicting all-cause ( P = 0.01), medical ( P = 0.03), and surgical ( P = 0.05) morbidities but performed similarly to utilization morbidity ( P = 0.19). In our institutional cohort, the AUC for the PFMI in morbidity stratification was 0.68. The PFMI was associated with all-cause (odds ratio [OR], 1.30; 95% confidence interval [CI], 1.12 to 1.51; P < 0.001), medical (OR, 1.19; 95% CI, 1.03 to 1.40; P = 0.046), and utilization (OR, 1.32; 95% CI, 1.14 to 1.52; P < 0.001) morbidities but not significantly associated with surgical morbidity (OR, 1.21; 95% CI, 0.98 to 1.49; P = 0.08) in this cohort.

DISCUSSION

The PFMI is an advancement in postoperative morbidity risk stratification of patients with pathologic fracture from metastatic disease.

LEVEL OF EVIDENCE

III.

Does Spinal Surgery in Elderly Patients (Over 80 Years-Old) Lead to More Early Post-Operative Complications Than Lower Limb Prosthetic Surgery?

Purpose: Patients and surgeons may be reluctant on spinal surgery over 80 years old, fearing medical complications despite the possible improvement on quality of life. However, fewer reservations for lower limb prosthetic surgery (LLPS) seem to be arisen in this population. Is spinal surgery after 80 years-old responsible of more complications than lower limb surgery? Methods: The consecutive files of 164 patients over 80 years that had spinal surgery or LLPS were analyzed. The data collected pre-operatively were demographic, clinical and post-operatively the number and types of medical complications and length of stay. Results: The mean number of medical complications was 1.11 ± 0.6 [0-6] for spinal surgery and 1.09 ± 1.0 [0-3] for LLPS, (p = 0,87). The length of stay in orthopedic unit was comparable between the two groups: 10.7 ± 4.9 days [2-36] for SS and 10.7 ± 3.0 days [5-11] for LLPS (p = 0,96). Conclusion: The global rate of peri-operative complications and the length of hospital stay were similar between spinal surgery and lower limb prosthetic surgery. These results may be explained by the rising cooperation between geriatric specialist and surgeons and the development of mini-invasive surgical technics, diminishing the early post-operative complication rates.

Study protocol for a national observational cohort investigating frailty, delirium and multimorbidity in older surgical patients: the third Sprint National Anaesthesia Project (SNAP 3)

INTRODUCTION

Older surgical patients are more likely to be living with frailty and multimorbidity and experience postoperative complications. The management of these conditions in the perioperative pathway is evolving. In order to support objective decision-making for patients, services and national guidance, accurate, contemporary data are needed to describe the impact and associations between frailty, multimorbidity and healthcare processes with patient and service-level outcomes.

METHODS AND ANALYSIS

The study is comprised of an observational cohort study of approximately 7500 patients; an organisational survey of perioperative services and a clinician survey of the unplanned, medical workload generated from older surgical patients. The cohort will consist of patients who are 60 years and older, undergoing a surgical procedure during a 5-day recruitment period in participating UK hospitals. Participants will be assessed for baseline frailty and multimorbidity; postoperative morbidity including delirium; and quality of life. Data linkage will provide additional details about individuals, their admission and mortality.The study's primary outcome is length of stay, other outcome measures include incidence of postoperative morbidity and delirium; readmission, mortality and quality of life. The cohort's incidence of frailty, multimorbidity and delirium will be estimated using 95% CIs. Their relationships with outcome measures will be examined using unadjusted and adjusted multilevel regression analyses. Choice of covariates in the adjusted models will be prespecified, based on directed acyclic graphs.A parallel study is planned to take place in Australia in 2022.

ETHICS AND DISSEMINATION

The study has received approval from the Scotland A Research Ethics Committee and Wales Research Ethics Committee 7.This work hopes to influence the development of services and guidelines. We will publish our findings in peer-reviewed journals and provide summary documents to our participants, sites, healthcare policy-makers and the public.

TRIAL REGISTRATION NUMBER

ISRCTN67043129.

Validation of the orthopedic frailty score for measuring frailty in hip fracture patients: a cohort study based on the United States National inpatient sample

BACKGROUND

The Orthopedic Frailty Score (OFS) has been proposed as a tool for measuring frailty in order to predict short-term postoperative mortality in hip fracture patients. This study aims to validate the OFS using a large national patient register to determine its relationship with adverse outcomes as well as length of stay and cost of hospital stay.

METHODS

All adult patients (18 years or older) registered in the 2019 National Inpatient Sample Database who underwent emergency hip fracture surgery following a traumatic fall were eligible for inclusion. The association between the OFS and mortality, complications, and failure-to-rescue (FTR) was determined using Poisson regression models adjusted for potential confounders. The relationship between the OFS and length of stay and cost of hospital stay was instead determined using a quantile regression model.

RESULTS

An estimated 227,850 cases met the study inclusion criteria. There was a stepwise increase in the rate of complications, mortality, and FTR for each additional point on the OFS. After adjusting for potential confounding, OFS 4 was associated with an almost ten-fold increase in the risk of in-hospital mortality [adjusted IRR (95% CI): 10.6 (4.02-27.7), p < 0.001], a 38% increased risk of complications [adjusted IRR (95% CI): 1.38 (1.03-1.85), p = 0.032], and an almost 11-fold increase in the risk of FTR [adjusted IRR (95% CI): 11.6 (4.36-30.9), p < 0.001], compared to OFS 0. Patients with OFS 4 also required a day and a half additional care [change in median length of stay (95% CI): 1.52 (0.97-2.08), p < 0.001] as well as cost approximately $5,200 more to manage [change in median cost of stay (95% CI): 5166 (1921-8411), p = 0.002], compared to those with OFS 0.

CONCLUSION

Patients with an elevated OFS display a substantially increased risk of mortality, complications, and failure-to-rescue as well as a prolonged and more costly hospital stay.

Is outcome of total hip arthroplasty for hip fracture inferior to that of arthritis in a contemporary arthroplasty practice?

INTRODUCTION

Outcome of total hip arthroplasty (THA) for femoral neck fractures (FNF) has been associated with higher complication rates. However, THA for FNF is not always performed by arthroplasty-surgeons. This study aimed to compare THA outcomes for FNF to osteoarthritis (OA). In doing so, we described contemporary THA failure modes for FNF performed by arthroplasty surgeons.

METHODS

This was a retrospective, multi-surgeon study from an academic center. Of FNF treated between 2010 and 2020, 177 received THA by an arthroplasty-surgeon [mean age 67 years (range, 42 to 97), sex: 64.4% women]. These were matched (1:2) for age and sex with 354 THAs performed for hip OA, by the same surgeons. No dual-mobilities were used. Outcomes included radiologic measurements (inclination/anteversion and leg-length), mortality, complications, reoperation rates and patient-reported outcomes including Oxford Hip Score (OHS).

RESULTS

Post-operative mean leg-length difference was 0 millimeters (mm) (range, -10 to -10 mm), with a mean cup inclination and anteversion of 41 and 26° respectively. There was no difference in radiological measurements between FNF and OA patients (p=0.3). At 5 years follow-up, mortality rate was significantly higher in the FNF-THA compared to the OA-THA group (15.3 vs. 1.1%; p<0.001). There was no difference in complications (7.3 vs. 4.2%; p=0.098) or reoperation rates (5.1 vs. 2.9%; p=0.142) between groups. Dislocation rate was 1.7%. OHS at final follow-up was similar [43.7 points (range, 10 to 48) vs. 43.6 points (range, 10 to 48); p=0.030].

CONCLUSION

Total hip arthroplasty for the treatment of FNF is a reliable option and is associated with satisfactory outcomes. Instability was not a common reason of failure, despite not using dual-mobility articulations in this at-risk population. This is likely due to THAs being performed by the arthroplasty staff. When patients live beyond 2-years, similar clinical and radiographic outcomes with low rates of revision can be expected, comparable to elective THA for OA.

Use of a Six-Item Modified Frailty Index to Predict 30-day Adverse Events, Readmission, and Mortality in Older Patients Undergoing Surgical Fixation of Lower Extremity, Pelvic, and Acetabular Fractures

INTRODUCTION

This is a retrospective study evaluating the use of a new six-item modified frailty index (MF-6) to predict short-term outcomes of patients receiving surgery for lower extremity fractures.

METHODS

Patients older than 65 years undergoing open reduction and internal fixation for lower extremity, pelvic, and acetabulum fractures were identified from the American College of Surgeons National Surgical Quality Improvement Program. The MF-6 was calculated by assigning one point for each of six common conditions. Multivariable analysis was used to compare patients with an MF-6 of <3 and ≥3. Outcome measures included complications, mortality, readmission, revision surgery, and length of stay. An area under the curve receiver operator analysis was conducted to compare the MF-6 with MF-5, an existing five-item frailty index.

RESULTS

Nine thousand four hundred sixty-three patients were included. Patients with an MF-6 of ≥3 were at markedly higher risk of discharge destination other than home (Exp[B] = 2.09), mortality (Exp[B] = 2.48), major adverse events (Exp[B] = 2.16), and readmission (Exp[B] = 1.82). Receiver-operating curve analysis demonstrated an area under the curve of 0.65 for mortality, 0.62 for major adverse events, and 0.62 for discharge destination other than home, all of which outperformed the MF-5.

DISCUSSION

The MF-6 was correlated with a 30-day postoperative incidence of infectious complications, readmission, and discharge destination. MF-6 scores can be used to risk-stratify patient populations as shifts to value-based care continue to develop.

Wrist accelerometer temporal analysis as a prognostic tool for aged care residents: A sub‐study of the ReMInDAR trial

BACKGROUND

Objective measures for screening, prioritizing, and planning care for frail individuals are essential for appropriate aged care provision. This study evaluates metrics derived from actigraphy measures (captured by wrist accelerometer) as a digital biomarker to identify frail individuals at risk of adverse outcomes, including death, hospitalization, and cognitive decline.

METHODS

This was a secondary study using data from a randomized controlled trial assessing the effectiveness of an ongoing pharmacist service in residential aged care facilities. Three metrics are studied and compared: the Frailty Index, the daily time spent in light time activity, and the temporal correlation of the actigraphy signal, measured by detrended fluctuation analysis. The association between actigraphy-derived metrics at baseline and adverse events within 12 months (death, cognitive decline, and hospitalizations) was assessed using logistic regression.

RESULTS

Actigraphy records were available for 213 participants living in aged-care, median age of 85 years. Individuals with higher temporal correlation (activity is less random) were at lower risk of death (Standardized OR: 0.49; 95% CI 0.34, 0.7, p < 0.001) and hospitalization (Standardized OR: 0.57; 95% CI 0.42, 0.77, p < 0.001) in 12 months, but there was no difference in cognitive decline (Standardized OR: 1; 95% CI 0.74, 1.35, p = 0.98). The predictive model that included temporal correlation had an area under the curve of 0.70 (CI 0.60-0.80) for death and 0.64 (CI 0.54-0.72) for hospitalization.

CONCLUSION

Temporal correlation of the actigraphy signal from aged care residents was strongly associated with death and hospitalization, but not cognitive decline. Digital biomarkers may have a place as an objective, accurate, and low-cost patient metric to support risk stratification and clinical planning.

Prognostic significance of frailty in older patients with hip fracture: a systematic review and meta-analysis

PURPOSE

Hip fracture (HF) has become a major healthcare concern associated with higher mortality in older patients. Frailty is one of the most important problems in aging population but its prognostic value in HF remains susceptible. This systematic review and meta-analysis aimed to evaluate the association between frailty and adverse outcomes in older patients with HF.

METHODS

We systematically searched electrical databases including PubMed and Embase to find eligible literature with end-search restriction of February 20, 2021. The main endpoints were all-cause mortality, peri-operative complications, abnormal discharge, and length of stay (LOS). Pooled effect size was calculated by random-effects or fixed-effect model according to study heterogeneity. Three subgroup analyses based on follow-up times, study design, and frailty criteria were conducted.

RESULTS

We screened 22 studies out of 1599 identified studies in our analysis. Compared with normal patients, frail ones had a higher risk of mortality both before (OR = 3.48, 95% CI: 2.50-4.85, I² = 87.2%, P < 0.001) and after (OR = 1.87, 95% CI: 1.44-2.44, I² = 85.5%, P < 0.001) adjustment. The incidence of peri-operative complications, abnormal discharge, and prolonged LOS also significantly increased in frail subjects. There was no publication bias observed and the pooled results were stable based on sensitivity analysis.

CONCLUSION

Overall, more attention needs to be paid to the prognostic effects caused by frailty in seniors with HF. Better understanding of the association between frailty and adverse outcomes in HF could help doctors perform co-management across orthopaedic and geriatric departments.

Low lymphocyte-to-C-reactive protein ratio relates to high 1-year mortality in elderly patients undergoing hemiarthroplasty for displaced femoral neck facture

OBJECTIVE

Lymphocyte-to-C-reactive protein (CRP) ratio (LCR) is a novel biomarker for predicting poor prognosis in many diseases. This study aims to analyze the association between preoperative LCR and 1-year mortality in elderly patients with displaced FNF undergoing hemiarthroplasty.

METHODS

Between May 2017 and May 2019, a retrospective study including 364 elderly patients undergoing hemiarthroplasty for displaced FNF was performed. LCR was defined as the ratio of preoperative lymphocyte count to CRP level. The optimal cutoff value of LCR was determined by receiver operating characteristic curve, and all patients were categorized into low-LCR group and high-LCR group accordingly. The relationship between LCR and 1-year mortality was evaluated by using univariate and multivariate Cox regression analysis. Furthermore, the complications within 30 days after surgery, length of hospital stay, and perioperative red blood cell transfusion were also analyzed stratified by LCR.

RESULTS

A total of 47 patients (12.9%) died within 1-year follow-up after surgery. The optimal cutoff value for LCR was 30,560 (specificity 76.6% and sensitivity 63.4%). Low-LCR (≤ 30,560) group had a higher mortality rate than high-LCR group (23.53% vs. 5.21%, P < 0.001). In multivariate analysis, low LCR, hypoalbuminemia, and Age-Adjusted Charlson Comorbidity Index ≥ 6 were identified as independent predictors for 1-year mortality. Moreover, low level of LCR was associated with high rate of total complications (19.6% vs. 11.4%, P = 0.029), perioperative transfusions (37.9% vs. 27.0%, P = 0.027), and longer hospital stay (7.84 ± 2.40 vs. 7.30 ± 2.32, P = 0.031).

CONCLUSIONS

The low level of preoperative LCR can effectively predict 1-year mortality and 30-day total complications after surgery in elderly patients with displaced FNF undergoing hemiarthroplasty.

A Prospective Evaluation of Grip Strength Comparing a Low-Tech Method to Dynanometry in Preoperative Surgical Patients and Weak Intensive Care Patients

Objective. Grip strength testing offers a mechanism to identify patients in whom frailty might be present, discriminate between robust elderly and vulnerable younger patients, and can be used as a tool to track changes in muscle bulk over the course of an inpatient stay. We compared gold-standard quantitative grip strength measurement to a low-tech alternative, a manual bedside sphygmomanometer. Design. Under supervision, subjects performed hand-grip strength testing with each instrument. A mean score is calculated from three measurements on the dominant and nondominant hand. Setting. Testing was performed in a tertiary centre in Perth, Western Australia, in both outpatient clinics and intensive care units. Participants. 51 adult pre-operative surgical outpatients were assessed, alongside 20 intensive care inpatients identified as being weak. Main outcome measures. A statistical correlation between the two measures was evaluated. Feasibility, safety, and convenience were also assessed in outpatient and bedside settings. Results. Highly correlated results in both tertiary surgical outpatients (rs = 0.895, $p\le 0.001$ , N = 102; r (100) = 0.899, $p\le 0.001$ ) and weak intensive care patients (rs = 0.933, $p\le 0.001$ , N = 39 r (37) = 0.935, $p\le 0.001$ ) Conclusions. Modifying a manual bedside sphygmomanometer to measure grip strength is feasible and correlates well with a formal dynamometer in preadmission surgical patients and weak patients in the intensive care unit. The use of an existing, safe, and available device removes barriers to the measurement of weakness in patients and may encourage uptake of objective measurement in multiple settings.

A Prospective Study Correlating Preoperative Modified Frailty Index With One-Year Mortality in the Elderly With Hip Fractures

Background Hip fractures occur frequently in the elderly population over the age of 60 years following low-energy domestic falls. The postoperative mortality after hip fracture surgery depends on numerous factors like comorbidities, pre-fall ambulatory status, nutritional status, cognition, and overall physical health. In this context, the physiological age and reserve play a vital role in mortality after hip fracture surgeries. This physiological reserve is measured in terms of "frailty." There are many frailty indices that assess the physiological reserves of an elderly patient. The modified frailty index (MFI) is one of the validated indexes predicting postoperative complications and mortality. So we concluded there is a need to assess the patients with MFI preoperatively, based on which mortality and postoperative complications could be predicted in our patients. Materials and methods We included 100 patients aged more than 60 years with intertrochanteric and neck of the femur fractures, who were managed surgically. We followed the patients for one year and observed the immediate and late complications and mortality at the end of one year. To reduce bias, patients with pathological fractures, revision surgeries, contralateral fractures, high-energy trauma, younger than 60 years of age, and previous proximal femur fracture surgery on the side of injury were excluded from the study. Results The primary objective was to study the correlation between the MFI with one-year mortality. We observe that the MFI score had a significant effect on mortality at one year (p-value = 0.0316). With a unit increase in the MFI score, the odds of death increase by a factor of 1.52. Conclusion There is a strong correlation between MFI with one-year mortality and postoperative complications after hip fracture surgeries in the elderly. This MFI can be used as a preoperative predictive model to predict the mortality and postoperative complications after hip fractures in the elderly. It will also help patients and their caretakers in decision-making and elucidating surgery choices.

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

BACKGROUND CONTEXT

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

PURPOSE

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

STUDY DESIGN

Systematic Review.

PATIENT SAMPLE

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

OUTCOME MEASURES

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Considerations for the Use of Local Anesthesia in the Frail Elderly: Current Perspectives

The frail, elderly population is at a high risk of postoperative complications. Besides perioperative rehabilitation techniques and management by geriatric teams, the least invasive techniques in anesthesia are required, making regional anesthesia very interesting in terms of benefit-risk ratio. Among them, local anesthesia is a simple, reproducible, inexpensive technique applied to many superficial or deep surgeries, which should make it a gold standard for the frail person. This review provides an update on the current possibilities for various surgeries and exclusion.

Can the Clinical Frailty Scale on admission predict 30-day survival, postoperative complications, and institutionalization in patients with fragility hip fracture? : a cohort study of 1,255 patients

AIMS

We assessed the value of the Clinical Frailty Scale (CFS) in the prediction of adverse outcome after hip fracture.

METHODS

Of 1,577 consecutive patients aged > 65 years with a fragility hip fracture admitted to one institution, for whom there were complete data, 1,255 (72%) were studied. Clinicians assigned CFS scores on admission. Audit personnel routinely prospectively completed the Standardised Audit of Hip Fracture in Europe form, including the following outcomes: 30-day survival; in-hospital complications; length of acute hospital stay; and new institutionalization. The relationship between the CFS scores and outcomes was examined graphically and the visual interpretations were tested statistically. The predictive values of the CFS and Nottingham Hip Fracture Score (NHFS) to predict 30-day mortality were compared using receiver operating characteristic area under the curve (AUC) analysis.

RESULTS

Significant non-linear associations between CFS and outcomes were observed. Risk of death within 30 days rose linearly for CFS 1 to 5, but plateaued for CFS > 5. The incidence of complications and length of stay rose linearly for CFS 1 to 4, but plateaued for CFS > 4. In contrast, the risk of new institutionalization rose linearly for CFS 1 to 8. The AUCs for 30-day mortality for the CFS and NHFS were very similar: CFS AUC 0.63 (95% CI 0.57 to 0.69) and NHFS AUC 0.63 (95% CI 0.57 to 0.69).

CONCLUSION

Use of the CFS may provide useful information on outcomes for fitter patients presenting with hip fracture, but completion of the CFS by the admitting orthopaedic team does not appear successful in distinguishing between higher CFS categories, which define patients with frailty. This makes a strong case for the role of the orthogeriatrician in the early assessment of these patients. Further work is needed to understand why patients assessed as being of mild, moderate, and severe frailty do not result in different outcomes. Cite this article: Bone Joint J 2022;104-B(8):980-986.

Validation of the Clinical Frailty Scale version 2.0 in Turkish older patients

AIM

Frailty is a syndrome that affects certain older adults more than others, and it has physical, cognitive, psychological, social and environmental aspects. The aim of our study was to determine the validity and reliability of the Clinical Frailty Scale (CFS) version 2.0 in Turkish. In total, 204 older adults aged ≥65 years took part in this study.

METHODS

The necessary permissions were obtained from Rockwood et al. The Turkish version of CFS version 2.0 had been appropriately translated through translation to the back-translation process. A questionnaire was used to investigate certain descriptive features, as well as the newly edited Turkish translation of CFS version 2.0, the Turkish version of the FRAIL Scale and the Turkish version of the Edmonton Frail Scale.

RESULTS

The age range was 65-95 years. In a Pearson correlation analysis, a positive link was discovered between FRAIL and CFS (r = 0.761 and P = 0.000) as well as CFS and Edmonton (r = 0.895 and P = 0.000).

CONCLUSION

The Turkish translation of CFS version 2.0 has been determined to be suitable, valid and reliable for use in frailty screening in outpatient clinics. Geriatr Gerontol Int 2022; 22: 730-735.

Simpler modified fried frailty scale as a practical tool to evaluate physical frailty: Methodological report for its cross-cultural adaptation and validation

Frailty is a common geriatric syndrome that indicates homeostenosis and increased risk of disability and mortality. It is amenable to intervention when detected. Hence, screening frailty is of utmost importance to preserve quality-of-life and function in older age. Simpler Modified Fried Frailty Scale is a very practical frailty screening tool that has recently been introduced and has rooted from the original Fried Scale. It is developed in Turkish and has been shown to predict mortality in nursing home residents. Considering the variety of languages in Europe, it seems valid to adapt and validate this tool in different European languages. Thereby, it is expected that clinicians will have the possibility to screen for frailty more quickly and easily in their practice across many countries. This report is written to explain the details of the final consensus methodology suggested for Simpler Modified Fried Frailty Scale validation in order to guide and help the research teams in their studies.

The association of frailty with clinical and economic outcomes among hospitalized older adults with hip fracture surgery

Frailty is a common condition among older adults with hip fracture. In our study analyzing National Inpatient Sample data, frailty was found to be associated with up to six times increase in in-patient mortality, 55% increased length of hospital stay, and 29% increase in hospital cost.

INTRODUCTION

Hip fracture is a significant public health issue posing adverse health outcomes and substantial economic burden to patients and society. Frailty is a prevalent geriatric condition associated with poor clinical outcome among older adults. The association between hip fracture and frailty on both clinical and economic outcomes at the national level has not been estimated. We aimed to determine the association between frailty and in-hospital mortality, length of hospital stay (LOS), and total hospital cost among older patients aged ≥ 65 years who underwent surgery for hip fracture.

METHODS

We did an analysis of administrative data using the National Inpatient Sample (NIS) data from 2016 and 2017. Our analysis included data on 29,735 hospitalizations. We first conducted a descriptive analysis of the patient characteristics (demographics and clinical) and hospital-related factors. Three multivariable regression analysis models were then used to determine independent associations between frailty and in-hospital mortality, LOS, and total hospital cost. All three models were adjusted for patients' demographic and clinical characteristics and hospital-related factors.

RESULTS

Moderate and high frailty risk were associated with higher odds of death (OR = 2.94 and 95% CI 1.91-4.51 and OR = 5.99 and 95% CI 3.79-9.47), increased LOS (17% and 55%, p < 0.0001), and higher total hospital cost (7% and 29%, p < 0.0001) respectively compared to low frailty risk.

CONCLUSION

Frailty was associated with mortality, LOS, and hospital cost after adjusting for patient demographic, clinical, and hospital-related factors. Further research is needed to explore what pre-surgical measures can be assessed to mitigate in-hospital mortality and hospital cost in frail older patients hospitalized for hip fracture surgery.

Prognosis and institutionalization of frail community-dwelling older patients following a proximal femoral fracture: a multicenter retrospective cohort study

Hip fractures are a serious public health issue with major consequences, especially for frail community dwellers. This study found a poor prognosis at 6 months post-trauma with regard to life expectancy and rehabilitation to pre-fracture independency levels. It should be realized that recovery to pre-trauma functioning is not a certainty for frail community-dwelling patients.

INTRODUCTION

Proximal femoral fractures are a serious public health issue in the older patient. Although a significant rise in frail community-dwelling elderly is expected because of progressive aging, a clear overview of the outcomes in these patients sustaining a proximal femoral fracture is lacking. This study assessed the prognosis of frail community-dwelling patients who sustained a proximal femoral fracture.

METHODS

A multicenter retrospective cohort study was performed on frail community-dwelling patients with a proximal femoral fracture who aged over 70 years. Patients were considered frail if they were classified as American Society of Anesthesiologists score ≥ 4 and/or a BMI < 18.5 kg/m² and/or Functional Ambulation Category ≤ 2 pre-trauma. The primary outcome was 6-month mortality. Secondary outcomes were adverse events, health care consumption, rate of institutionalization, and functional recovery.

RESULTS

A total of 140 out of 2045 patients matched the inclusion criteria with a median age of 85 (P₂₅-P₇₅ 80-89) years. The 6-month mortality was 58 out of 140 patients (41%). A total of 102 (73%) patients experienced adverse events. At 6 months post-trauma, 29 out of 120 (24%) were readmitted to the hospital. Out of the 82 surviving patients after 6 months, 41 (50%) were unable the return to their home, and only 32 (39%) were able to achieve outdoor ambulation.

CONCLUSION

Frail community-dwelling older patients with a proximal femoral fracture have a high risk of death, adverse events, and institutionalization and often do not reobtain their pre-trauma level of independence. Foremost, the results can be used for realistic expectation management.

The Impact of Frailty on Adverse Outcomes in Geriatric Hip Fracture Patients: A Systematic Review and Meta-Analysis

Objective

With an aging population and advances in medicine, more research focuses on health and longevity in geriatric adults. Recently, frailty has gradually emerged to assess physical conditions. Frailty can be generally described as a multi-dimensional situation of increased vulnerabilities to both endogenous and exogenous stressors. The objective of the review was to evaluate the predictive value of frailty on adverse outcomes in geriatric hip fracture patients.

Materials and Methods

We searched PubMed, Embase, Web of Science, and the Cochrane library for relevant literature about the connection between frailty and poor outcomes in hip fracture elders.

Results

Eleven studies involving a total of 45,979 participants were selected in our study. Our results indicated that frailty could significantly predict postoperative and in-patient complications (OR, 1.46; 95% CI, 1.13–1.90; I2 = 77.4%). Frail elders had higher risk of inpatient mortality (OR, 1.68; 95% CI, 1.26–2.25; I2 = 0.0%), 6-month mortality (OR, 1.46; 95% CI, 1.25–1.72; I2 = 0.0%) and ≥1-year mortality (OR, 2.24; 95% CI, 1.66–3.04; I2 = 91.3%). Furthermore, the risk of prolonged hospital stays was 1.15 times more likely in frail patients (95% CI, 1.03–1.28; I2 = 14.8%).

Conclusion

Frailty can predict adverse outcomes effectively in geriatric hip fracture patients.

Systematic Review Registration

https://www.crd.york.ac.uk/PROSPERO/#recordDetails.

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.

Patient-specific risk factors for adverse outcomes following geriatric proximal femur fractures

BACKGROUND

Proximal femur fractures (PFFs) occur frequently among geriatric patients due to diverse risk factors, such as a lower bone mineral density and the increased risk of falls.

METHODS

In this review, we focus on recent literature of patient-specific risk factors and their impact on common complications and outcome parameters in patients with PFF.

RESULTS

Patient- and treatment related factors have a significant impact on outcome and are associated with an increased risk of mortality, impairments in functional rehabilitation and complicative courses.

CONCLUSION

Geriatric patients at high risk for complications are nursing home inhabitants suffering from severe osteoporosis, dementia and sarcopenia. The early and ongoing assessment for these individual risk factors is crucial. Strategies including interdisciplinary approaches, addressing comorbidities and facilitating an optimal risk factor evaluation result in a beneficial outcome. The ongoing ambulant assessment and therapy of complicating factors (e.g., malnutrition, sarcopenia, frailty or osteoporosis) have to be improved.

What do hip fracture patients die from?

Hip fractures in the elderly are associated with an increased mortality rate, even if they are operated within the recommended time window. However, the causes of mortality vary considerably depending on the postoperative period and the patients' comorbidities. In the 30-day postoperative period, the most common causes of death are acute processes such as bacterial and aspiration pneumonia followed by myocardial infarction, cancer, gastrointestinal hemorrhage, stroke, pulmonary embolism, and acute renal failure. In the 6-month and 1-year postoperative period, chronic processes appear to be the most important causes of death, as well as decompensation of patients' chronic diseases. To enhance the literature, we performed this literature review to summarize and discuss the causes of mortality of elderly hip fracture patients depending on the postoperative period that they occur, and possibly to address the question what do hip fracture patients die from? Our aim was to perform an interesting and concise paper that the curious reader will find interesting and informative.

Aspiration pneumonia and anesthesia techniques in hip fracture surgery in elderly patients: A retrospective cohort study using administrative data

Purpose: Aspiration pneumonia is a critical issue. General anesthesia may suppress the airway's protective reflex. However, aspiration pneumonia is also observed in patients who undergo hip fracture surgery under spinal anesthesia. The aim of this study was to investigate the relationship between anesthesia methods and aspiration pneumonia as well as the predictive factors of aspiration pneumonia in elderly patients undergoing hip fracture surgery. Methods: The medical records of 19,809 patients aged ≥60 years who underwent hip fracture surgery under general or spinal anesthesia were reviewed. After propensity score matching, the anesthesia methods affecting the occurrences of aspiration pneumonia and other complications were investigated via logistic regression and instrumental variable analyses. Predictive factors of aspiration pneumonia were also investigated in all subjects using a multivariable logistic regression analysis. Results: Among the 11,673 general anesthesia patients and 8136 spinal anesthesia patients, aspiration pneumonia occurred in 356 patients (1.8%). Post-propensity score matching the incidences of aspiration pneumonia with general and spinal anesthesia were 1.8% and 1.5%, respectively (p = 0.158); other pulmonary complications were 1.5% and 1.5%, respectively (p = 0.893); and the mortality rates were 1.4% and 1.2%, respectively (p = 0.219). The predictive factors of aspiration pneumonia were advanced age, male sex, lean body, cerebrovascular disease, dementia, and dependency for activities of daily living (eating). Conclusion: Spinal and general anesthesia showed similar incidences of aspiration pneumonia in elderly hip fracture surgery. Regardless of the anesthesia method, great care should be taken, especially in elderly patients with the identified predictive factors.

Development and validation of the geriatric trauma frailty index for geriatric trauma patients based on electronic hospital records

BACKGROUND

Globally, geriatric patients are the dominant population requiring global medical care. We established a frailty index for geriatric trauma patients by retrospectively analysing electronic hospital records to identify patients with frailty characteristics and poor prognostic outcomes.

METHOD

Data were obtained from 2016 US National Emergency Department Sample and Shanghai Trauma Emergency Medical Association (2015-18). Overall, 141,267 hospitalised geriatric trauma patients (age ≥ 65 years) were included. We used a three-step method to construct geriatric trauma frailty index (GTFI) based on the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnostic codes. Systematic cluster analysis was used. The accuracy of GTFI was verified in national validation cohort, and its applicability to Chinese patients was assessed in local validation cohort.

RESULTS

In development cohort (n = 28,179), frail patients had longer lengths of stay and higher Charlson co-morbidity index than non-frail patients (18.2 ± 12.4 days, 5.59 ± 2.0 versus 5.3 ± 5.3 days, 5.33 ± 1.8, respectively). In national validation cohort (n = 113,089), frail patients had longer lengths of stay (8.5 ± 8.8 days versus 4.5 ± 3.1 days) and higher in-hospital mortality than non-frail patients (2,795, 11.69% versus 589, 0.66%). Areas under the curves for GTFI for length of stay (>14 days) and in-hospital mortality were 0.848 (0.841, 0.854) and 0.885 (0.880, 0.891) in national validation cohort, and were 0.791 (0.779, 0.804) and 0.903 (0.885, 0.922) in local validation cohort (n = 14,827).

CONCLUSIONS

The GTFI helps hospitals and emergency departments to identify geriatric trauma patients with poor prognostic outcomes, and has been proven to be useful in China.

Mortality after chronic subdural hematoma is associated with frailty

PURPOSE

Chronic subdural hematoma (CSDH) is a common neurological disease often affecting the elderly. Long-term excess mortality for patients after CSDH has been suggested but causes of death are unknown. We hypothesize that excess mortality of CSDH patients is related to frailty. In this article, we describe mortality rates and causes of death of CSDH patients compared with the general population and assess the association of frailty with mortality.

METHODS

A cohort study in which consecutive CSDH patients were compared to the general population regarding mortality rates. Furthermore, the association of six frailty indicators (cognitive problems, frequent falling, unable to live independently, unable to perform daily self-care, use of benzodiazepines or psychotropic drugs, and number of medications) with mortality was assessed.

RESULTS

A total of 1307 CSDH patients were included, with a mean age of 73.7 (SD ± 11.4) years and 958 (73%) were male. Median follow-up was 56 months (range: 0-213). Compared with controls CSDH patients had a hazard ratio for mortality of 1.34 (95% CI: 1.2-1.5). CSDH patients more often died from cardiovascular diseases (37% vs. 30%) and falls (7.2% vs. 3.7%). Among CSDH patients frequent falling (HR 1.3; 95% CI: 1.0-1.7), inability to live independently (HR 1.4, 95% CI: 1.1-1.8), inability to perform daily self-care (HR 1.5; 95% CI: 1.1-1.9), and number of medications used (HR 1.0; 95% CI: 1.0-1.1) were independently associated with mortality.

CONCLUSIONS

CSDH patients have higher mortality rates than the general population. Frailty in CSDH patients is associated with higher mortality risk. More attention for the frailty of CSDH patients is warranted.

T4 rather than TSH correlates with BMD among euthyroid adults

PURPOSE

The objective of this study was to evaluate the association between thyroid hormone and bone mineral density (BMD) among euthyroid adults.

METHODS

This cross-sectional study researched the information from the National Health and Nutrition Examination Survey 2007-2010. We included 3,759 euthyroid participants finally. We used multivariate linear regression models to evaluate the linear relationship between the thyroid hormone profile and BMD. Subgroup analyses stratified by gender and age were further performed. Moreover, the nonlinear relationship was characterized by fitted smoothing curves and generalized additive models, and logistic regression models were used to determine the association of thyroid-stimulating hormone (TSH) and thyroxine (T4) with previous fractures.

RESULTS

The weighted multivariable linear regression models showed no association between TSH and BMD. Free thyroxine (FT4), T4, free triiodothyronine (FT3), and total triiodothyronine (T3) were negatively associated with the total femur BMD and the total spine BMD after adjusting for all covariates. Subgroup analyses demonstrated that all groups had a negative association between T4 and BMD, even in patients with osteopenia/osteoporosis. The nonlinear relationship characterized by smooth curve fittings and generalized additive models suggested that an obvious U-shaped, an inverted U -shaped, and an L - shaped curve was exhibited between thyroid hormone and BMD in the different subgroups. In addition, normal high-level T4 was associated with an increased prevalence of previous fractures than normal low-level T4.

CONCLUSIONS

In this sample of euthyroid adults, T4 exhibits a negative correlation with BMD, regardless of age and gender, in subjects with either normal or lowered BMD. Moreover, high-normal FT4 was associated with an increased prevalence of previous fractures. TSH was not associated with variations of BMD and the fracture risk.

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.

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.

Assessing the Quality of Care Provided to Older Persons with Frailty in Five Canadian Provinces, Using Administrative Data

Nous avons examiné la qualité des soins fournis aux personnes âgées fragiles dans cinq provinces canadiennes à partir de données administratives sur la santé. Dans chaque province, nous avons considéré les personnes âgées fragiles en fonction de deux cohortes : les personnes décédées et les personnes vivantes. Des règles de décision ont été utilisées pour déterminer quelles personnes étaient frêles, soit celles résidant en établissement de soins de longue durée, qui étaient en phase terminale ou dont le profil correspondait à deux des sept domaines identifiés. Ces domaines étaient fondés sur des échelles de fragilité, des discussions avec des gériatres et des indicateurs d'utilisation des services de santé. Nous avons évalué la qualité des soins à l'aide des indicateurs de qualité suivants : diminution de la durée de l'hospitalisation, diminution du nombre de réadmissions à l'hôpital, diminution du nombre de visites à l'urgence, augmentation de la continuité des soins fournis par un médecin de famille, diminution de l'utilisation de la ventilation mécanique et diminution du nombre d'admissions aux soins intensifs. À l'aide d'analyses de régression, nous avons également constaté que le sexe masculin et l'âge avancé étaient associés à une moins bonne qualité de soins dans les deux cohortes. Cette étude fournit des données de base qui permettront d'évaluer les futurs efforts visant à améliorer la qualité des soins offerts aux personnes âgées fragiles.

We examined the quality of care provided to older persons with frailty in five Canadian provinces, using administrative health data. In each province, we identified two cohorts of older persons with frailty: decedents and living persons. Using decision rules, we considered individuals to be frail if they were long-term care residents, terminally ill, or met at least two of seven domains, which were based on frailty scales, geriatrician discussions, and health service utilization indicators. We assessed quality of care using selected quality indicators: decrease in length of hospital stay, decrease in the number of in-patient readmissions, decrease in the number of emergency department visits, increase in the level of family physician continuity of care, decrease in the use of mechanical ventilation, and decrease in the number of admissions to intensive care. Using regression analyses, we also found male sex and older age were associated with poorer quality of care in both cohorts. This study provides baseline data for evaluating future efforts to improve the quality of care provided to older persons with frailty.

Comparing the Predictors of Functional Outcomes After Arthroscopic Rotator Cuff Repair Modified Frailty Index, Clinical Frailty Scale, and Charlson Comorbidity Index

Background:

The incidence of rotator cuff tears increases with age, and operative management is usually required in patients with persistent symptoms. Although several studies have analyzed the effect of age and comorbidities on outcomes after rotator cuff repair, no study has specifically examined the consequence of frailty.

Purpose:

To determine the best frailty/comorbidity index for predicting functional outcomes after arthroscopic rotator cuff repair.

Study Design:

Cohort study; Level of evidence, 3.

Methods:

The authors conducted a retrospective cohort study of 340 consecutive patients who underwent unilateral arthroscopic rotator cuff repair at a tertiary hospital between April 2016 and April 2018. All patients had undergone arthroscopic double-row rotator cuff repair with subacromial decompression by a single fellowship-trained shoulder surgeon. Patient frailty was measured using the Modified Frailty Index (MFI), Clinical Frailty Scale (CFS), and Charlson Comorbidity Index (CCI), calculated through retrospective chart review based on case notes made just before surgery; patient age and sex were also noted preoperatively. Functional outcomes using the Oxford Shoulder Score (OSS), Constant Shoulder Score (CSS), University of California Los Angeles (UCLA) Shoulder Score, and visual analog scale for pain were measured preoperatively and at 3, 6, 12, and 24 months postoperatively.

Results:

The MFI was a consistent significant predictor in all functional outcome scores up to 24 months postoperatively (P < .05), unlike the CFS and CCI. Sex was also a significant predictor of postoperative OSS, CSS, and UCLA Shoulder Score, with male sex being associated with better functional outcomes. Patients with higher MFI scores had slower functional improvement postoperatively, but they eventually attained functional outcome scores comparable with those of their counterparts with lower MFI scores at 24 months postoperatively.

Conclusion:

The MFI was found to be a better tool for predicting postoperative function than was the CFS or CCI in patients undergoing arthroscopic rotator cuff repair. The study findings suggest that a multidimensional assessment of frailty (including both functional status and comorbidities) is important in determining functional outcomes after arthroscopic rotator cuff repair.

Does the frailty index predict discharge disposition and length of stay at the hospital and rehabilitation facilities?

INTRODUCTION

Many geriatric hip fracture patients utilize significant healthcare resources and require an extensive recovery period after surgery. There is an increasing awareness that measuring frailty in geriatric patients may be useful in predicting mortality and perioperative complications and may be useful in helping guide treatment decisions. The primary purpose of the study is to investigate whether the frailty index predicts discharge disposition from the hospital and discharge facility and length of stay.

METHODS

In this retrospective cohort study, patients aged 65 years and older presenting to a level 1 trauma center with a hip fracture and a calculated frailty index were eligible for inclusion. The primary outcome was discharge disposition. Secondary outcomes were hospital and discharge facility length of stay, 90-day hospital mortality and readmissions, and return to home.

RESULTS

A total of 313 patients were included. The frailty index was a robust predictor of discharge to a skilled nursing facility (OR 1.440 per 0.1 point increase). Patients with a higher frailty index were at higher risk of 90-day mortality and less likely to return to home at the end of follow-up. There was a very weak correlation between the frailty index and hospital length of stay (ρ=0.30) and rehab length of stay (ρ=0.26).

CONCLUSION

The frailty index can be used to predict discharge destination from both the hospital and rehabilitation facility, 90-day mortality, and return to home after rehabilitation. In this study, the frailty index had a very weak correlation with length of stay in the hospital and in discharge destination. The frailty index can be used to help guide medical decision making, goals of care discussions, and to determine which patients benefit from intensive rehabilitation.

Chin-on-Chest in Neck of Femur Fracture (COCNOF) sign: A simple radiographic predictor of frailty and mortality in hip fracture patients

INTRODUCTION

Fragility fractures are a significant public health challenge often occurring as a result of frailty. Identifying patients who have increased risk of adverse outcomes can aid treating teams in managing these patients appropriately. We hypothesise that the appearance of the patient's head overlapping the lung fields (named Chin on Chest in Neck of Femur sign (COCNOF)) in the admission chest radiograph was a predictor of increased mortality at 3, 6 and 12 months.

METHODS

All consecutive patients admitted with hip fracture between 1^st January - 31st December 2019 were analysed. We collected patient characteristics, AMTS score, ASA grade, length of stay, place of discharge, Nottingham Hip Fracture Score, Rockwood Frailty score, Charlson Comorbidity Index and presence of COCNOF sign. The main outcome measures were mortality at 90 days, six months and 12 months following admission.

RESULTS

469 patients with a mean age of 81.9 (SD 8.4) were included. 18% of patients were COCNOF positive. Univariate analysis showed positive COCNOF sign to be associated with higher mortality at 90 days (19.1 vs 10.8%; RR 1.95, 95%CI 1.05 - 3.63,p=0.03), six months (31.5% vs 14.2%; RR 2.77, 95%CI 1.62 - 4.72, p<0.001) and twelve months (41.6% vs 17.1%; RR 3.45, 95%CI 1.62-4.72, p<0.001). In the multivariate regression models the strongest predictors of mortality were age, gender and CCI it is therefore likely that the COCNOF sign is acting as a surrogate marker of these variables within the univariate models.

CONCLUSION

Our results suggest that COCNOF sign is a simple radiographic marker which can be used to identify patients with higher levels of frailty and increased risk of mortality following hip fracture.

Comparison of the survivorship between arthroplasty and ORIF for basi-cervical femoral neck fractures in the overall population and in polymorbid patients

BACKGROUND

Femoral neck fractures (FNFs) are associated with high mortality and can be treated with arthroplasty or open reduction and internal fixation (ORIF). For basi-cervical FNFs, there is no agreement on which procedure is better. Do arthroplasty and open reduction with internal fixation (ORIF) have different rates of survival? Do age and comorbidities influence survivorship?

HYPOTHESIS

Patients who underwent arthroplasty and patients who underwent ORIF have different rates of survival.

PATIENTS AND METHODS

Survivorship curves, complications, and hospitalisation length were analysed in 154 patients who received hip arthroplasty, and in 72 patients who received ORIF. Age and ASA score were used to divide the patients into sub-groups and perform secondary analyses.

RESULTS

At 4.9±2.4 years after surgery, 74 patients in the arthroplasty group (48%) and 33 in the ORIF group (45%) had died. The survivorship curves of the two groups showed a non-significant difference. The hospitalisation length was 13.5±8.9 days, with a non-significant difference between groups. There were 130 complications in total: 97 in the arthroplasty patients (19 patients had multiple complications, 52 had only one), 33 in the ORIF patients (4 patients had multiple complications, 29 had only one); the odds ratio was therefore 2.1 (p=0.02). Age, ASA score, Sernbo score, Charlson comorbidity index, and sex (male) were the best predictors of mortality. In the ASA 3-4 sub-group, the survivorship curves showed a lower mortality in the arthroplasty group (p=0.02).

DISCUSSION

Arthroplasty and ORIF are both valid procedures for the treatment of basi-cervical FNFs, but a high mortality rate is associated with either procedures. There is no difference in terms of survivorship between arthroplasty and ORIF in the overall population, but the presence of comorbidities may favour arthroplasty, which should be considered when managing patients with basi-cervical FNFs.

LEVEL OF EVIDENCE

III; retrospective, observational study.

Discriminative Ability for Adverse Outcomes After Hip Fracture Surgery: A Comparison of Three Commonly Used Comorbidity-Based Indices

INTRODUCTION

Preoperative risk assessment can predict adverse outcomes following hip fracture surgery, helping with decision-making and management strategies. Several risk adjustment models based on coded comorbidities such as Charlson Comorbidity Index (CCI), modified Elixhauser's Comorbidity Measure (mECM), and modified frailty index (mFI-5) are currently prevalent for orthopedic patients, but there is no consensus regarding which is optimal. The primary purpose was to identify the risk factors of CCI, mECM, and mFI-5, as well as patient characteristics for predicting (1) 1-month, 3-month, 1-year, and 2-year mortality, (2) perioperative complications, and (3) extended length of stay (LOS) following hip fractured surgery. The secondary aim was to compare the best-performing comorbidity index combined with characteristics identified in terms of their discriminative ability for adverse outcomes.

METHODS

We retrospectively reviewed 3,379 consecutive patients presenting with intertrochanteric fractures at our Level I trauma center from 2013 to 2018. After eliminated by exclusion criteria, 2,241 patients undergoing hip fracture surgery by PFNA, with age ≥65 years, were included. Three main multivariate logistic regression models were constructed. Cox proportional hazards models were used to calculate hazard ratios for mortality. A base model included age, BMI, surgical delay, anesthesia type, hemoglobin record at admission, and American Society of Anesthesiologists grade (ASA) also was constructed and assessed.

RESULTS

Base model + mECM outperformed other models for the occurrence of major complications including severe complications, cardiac complications, and pulmonary complications [the area under the receiver operating characteristic curve (AUC), 0.647; 95% CI, 0.616-0.677; AUC, 0.637; 95% CI, 0.610-0.664; AUC, 0.679; 95% CI, 0.642-0.715, respectively], while base model + CCI provided better prediction of minor complications of neurological complications and hematological complications (AUC, 0.659; 95% CI, 0.609, 0.709; AUC, 0.658; 95% CI, 0.635, 0.680). In addition, BMI, surgical delay, anesthesia type, and ASA were found highly relevant to extended LOS. Age-group (with a 10-year interval) was indicated to be mostly associated with all-cause mortality with fully adjusted hazard ratio of 1.35 and 95% CI range 1.20-1.51.

CONCLUSIONS

In comparison with mFI-5 and CCI, mECM so far may be the best comorbidity index combined with the base model for predicting major complications following hip fracture. The base model already achieved good discrimination for all-cause mortality and extended LOS, further addition of risk adjustment indices led to only 1% increase in the amount of variation explained.

Impact of Frailty and Malnutrition on Outcomes After Surgical Fixation of Lower Extremity Fractures in Young Patients

OBJECTIVES

Evaluate the relationship of nutrition parameters and the modified frailty index (mFI) on postsurgical complications within a young patient population sustaining lower extremity orthopaedic trauma.

DESIGN

Retrospective observational cohort study.

SETTING

Urban, American College of Surgeons-Verified, Level-1, Trauma Center.

PATIENTS/PARTICIPANTS

Seventeen-thousand one hundred nine adult patients under the age of 65 sustaining lower extremity fractures undergoing operative intervention from 2006 to 2018.

MAIN OUTCOME MEASURES

On admission, mFI and albumin levels were obtained, as well as complication data. Statistical analysis was used to analyze the association between frailty, malnutrition, and postoperative complications. Patients were stratified, healthy (mFI ≤1, albumin ≥3.5 g/dL), malnourished (mFI ≤1, albumin <3.5 g/dL), frail (mFI ≥2, albumin ≥3.5 g/dL), and frail and malnourished (mFI ≥2, albumin <3.5 g/dL).

RESULTS

60.4% of patients were healthy, 18.8% were malnourished, 11.7% were frail, and 9.0% were frail and malnourished. Frailty and/or malnourishment on admission predicted significantly higher odds of postoperative complications and mortality when compared with healthy patients. Frailty and malnourishment in conjunction predicted a significantly higher odds ratio of 1.46 (1.22-1.75) for developing postoperative complications when compared with the only malnourished. This was also observed when compared with the only frail (odd ratio: 1.61, P < 0.001); however, there was also a 2.72 (P < 0.001) increased odds of mortality.

CONCLUSIONS

Frailty and malnutrition in conjunction predicts a subset of patients with a higher risk of postoperative complications beyond that of frailty or malnutrition in isolation. Identification of these physiological states on admission allows for interventional opportunities during hospitalization.

LEVEL OF EVIDENCE

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

Frailty assessment, hip fracture and long-term clinical outcomes in older adults

BACKGROUND

The primary aim of the study was determining the validation of the modified 19-item Frailty Index (mFI-19), based on the standard procedure for creating a frailty index scoring in the accumulation deficit theory of Rockwood and comparing it with the gold standard comprehensive geriatric assessment (CGA) in old age patients with hip fracture. As a secondary aim, we compared prognostic accuracies of mFI-19 and CGA in predicting long-term mortality after surgery.

MATERIALS AND METHODS

A total of 364 older patients with hip fractures, each a candidate for surgery, were consecutively enrolled. All were subjected to CGA and mFI-19 at baseline and time to death (years from hip surgery) were collected prospectively.

RESULTS

Mean patient age was 86.5 (SD: 5.65) years. The most common clinical phenotype (77%) was frail. Both CGA and mFI-19 performed similarly in predicting long-term mortality (Harrell's C-index: 0.66 and 0.68, respectively).

CONCLUSIONS

The mFI-19 was validated, compared to the gold standard CGA, based on a systematic process for creating a frailty index in relation to the accumulation deficit. This is one of few prospective studies addressing long-term mortality in older adults with hip fractures, invoking a methodologically robust frailty screening assessment.

What Factors Predict Adverse Discharge Disposition in Patients Older Than 60 Years Undergoing Lower-extremity Surgery? The Adverse Discharge in Older Patients after Lower-extremity Surgery (ADELES) Risk Score

BACKGROUND

Adverse discharge disposition, which is discharge to a long-term nursing home or skilled nursing facility is frequent and devastating in older patients after lower-extremity orthopaedic surgery. Predicting individual patient risk allows for preventive interventions to address modifiable risk factors and helps managing expectations. Despite a variety of risk prediction tools for perioperative morbidity in older patients, there is no tool available to predict successful recovery of a patient's ability to live independently in this highly vulnerable population.

QUESTIONS/PURPOSES

In this study, we asked: (1) What factors predict adverse discharge disposition in patients older than 60 years after lower-extremity surgery? (2) Can a prediction instrument incorporating these factors be applied to another patient population with reasonable accuracy? (3) How does the instrument compare with other predictions scores that account for frailty, comorbidities, or procedural risk alone?

METHODS

In this retrospective study at two competing New England university hospitals and Level 1 trauma centers with 673 and 1017 beds, respectively; 83% (19,961 of 24,095) of patients 60 years or older undergoing lower-extremity orthopaedic surgery were included. In all, 5% (1316 of 24,095) patients not living at home and 12% (2797 of 24,095) patients with missing data were excluded. All patients were living at home before surgery. The mean age was 72 ± 9 years, 60% (11,981 of 19,961) patients were female, 21% (4155 of 19,961) underwent fracture care, and 34% (6882 of 19,961) underwent elective joint replacements. Candidate predictors were tested in a multivariable logistic regression model for adverse discharge disposition in a development cohort of all 14,123 patients from the first hospital, and then included in a prediction instrument that was validated in all 5838 patients from the second hospital by calculating the area under the receiver operating characteristics curve (ROC-AUC).Thirty-eight percent (5360 of 14,262) of patients in the development cohort and 37% (2184 of 5910) of patients in the validation cohort had adverse discharge disposition. Score performance in predicting adverse discharge disposition was then compared with prediction scores considering frailty (modified Frailty Index-5 or mFI-5), comorbidities (Charlson Comorbidity Index or CCI), and procedural risks (Procedural Severity Scores for Morbidity and Mortality or PSS).

RESULTS

After controlling for potential confounders like BMI, cardiac, renal and pulmonary disease, we found that the most prominent factors were age older than 90 years (10 points), hip or knee surgery (7 or 8 points), fracture management (6 points), dementia (5 points), unmarried status (3 points), federally provided insurance (2 points), and low estimated household income based on ZIP code (1 point). Higher score values indicate a higher risk of adverse discharge disposition. The score comprised 19 variables, including socioeconomic characteristics, surgical management, and comorbidities with a cutoff value of ≥ 23 points. Score performance yielded an ROC-AUC of 0.85 (95% confidence interval 0.84 to 0.85) in the development and 0.72 (95% CI 0.71 to 0.73) in the independent validation cohort, indicating excellent and good discriminative ability. Performance of the instrument in predicting adverse discharge in the validation cohort was superior to the mFI-5, CCI, and PSS (ROC-AUC 0.72 versus 0.58, 0.57, and 0.57, respectively).

CONCLUSION

The Adverse Discharge in Older Patients after Lower Extremity Surgery (ADELES) score predicts adverse discharge disposition after lower-extremity surgery, reflecting loss of the ability to live independently. Its discriminative ability is better than instruments that consider frailty, comorbidities, or procedural risk alone. The ADELES score identifies modifiable risk factors, including general anesthesia and prolonged preoperative hospitalization, and should be used to streamline patient and family expectation management and improve shared decision making. Future studies need to evaluate the score in community hospitals and in institutions with different rates of adverse discharge disposition and lower income. A non-commercial calculator can be accessed at www.adeles-score.org.

LEVEL OF EVIDENCE

Level III, diagnostic study.

Debility Risk Model as a Predictor for Postsurgical Outcomes

BACKGROUND

Decreased patient functional status is associated with higher rates of postoperative morbidity and mortality. The Vizient program recently implemented a debility risk model to identify patients with impaired functional status. We examined the relationship between this novel model and inpatient postsurgical outcomes in a large urban tertiary care center.

METHODS

The Vizient database was accessed to compare surgical outcomes between patients coded with debility and patients without debility between January 2017 and December 2018. Data for each surgical specialty were obtained, and a chi-squared analysis was used to detect differences in readmission rates, mortality, and postoperative complications (defined by Vizient). These complications include pneumonia, postoperative infection, anesthesia complications, and shock.

RESULTS

We found patients with debility have a higher mortality rate (3%) than patients without debility (2%) across all surgical specialties (P = .0103). Patients with debility have a higher 30-day readmission rate (16%) than those without debility (8%) across all specialties (P < .0001). Patients with debility had a higher rate of inpatient complications for neurosurgery (12.11% vs. 8%, P = .008), trauma surgery (11.9% vs. 6%, P =.025), general surgery (17.67% vs. 7%, P = .013), and cardiac surgery (47.06% vs. 18%, P =.0025).

CONCLUSIONS

Our study supports the use of the Vizient debility code to predict postsurgical outcomes and risk stratify patients. By extension, functional status assessments in preoperative evaluation of patients remain important. Further, studies can build upon this data to measure the impact of preoperative, outpatient debility assessments in surgical patients.

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.

Comparison of two frailty indexes in hip fractures

AIM

Modified-Krishnan's frailty index (FI) is an FI calculation method developed by Krishnan et al. in 2014. This study aimed to compare the effectiveness and correlation of the FIs from Krishnan and the Canadian study of health and aging (CSHA) in predicting postoperative outcomes of elderly patients with hip fracture.

METHODS

Based on clinical follow-up and observation, we utilized these two instruments to predict 3-month mortality, hip function, and recovery of daily activities. The area under the curve (AUC) and the Pearson correlation coefficient were used to compare the two scales' predictive validities for postoperative outcomes.

RESULTS

A total of 130 patients were included; 67% female and mean age 77.5 ± 8.5 years. The AUCs of modified-Krishnan's FI (AUC = 0.856; 95% confidence interval (CI) = 0.767-0.945) and the CSHA-FI (AUC = 0.793; 95% CI = 0.652-0.934) were used to compare the effectiveness in predicting patient mortality. The optimal predictive scores were 0.335 and 0.28, respectively. The Pearson correlation analysis showed that the modified-Krishnan's FI correlated with the Japanese Orthopaedic Association hip score (pain, activity, walking ability, and ability for daily living; R = -0.249, p = 0.005), while the CSHA-FI was not correlated (R = -0.125, p = 0.170). The modified-Krishnan's FI (R = -0.415, p < 0.001) and the CSHA-FI (R = -0.332, p < 0.001) were both significantly correlated with the functional recovery scale score.

CONCLUSIONS

The modified-Krishnan's FI and the CSHA-FI were effective in the prediction of postoperative mortality. But the modified-Krishnan's FI was more consistently associated with the recovery of hip function and daily activities at 3 months after the operation than that of the CSHA-FI. The modified-Krishnan's FI was more suitable to utilize for risk stratification, identifying deficits, and predicting recovery capacity in hip fracture patients.

Undernutrition, Sarcopenia, and Frailty in Fragility Hip Fracture: Advanced Strategies for Improving Clinical Outcomes

Geriatric patients with hip fractures often experience overlap in problems related to nutrition, including undernutrition, sarcopenia, and frailty. Such problems are powerful predictors of adverse responses, although few healthcare professionals are aware of them and therefore do not implement effective interventions. This review aimed to summarize the impact of undernutrition, sarcopenia, and frailty on clinical outcomes in elderly individuals with hip fractures and identify successful strategies that integrate nutrition and rehabilitation. We searched PubMed (MEDLINE) and Cochrane Central Register of Controlled Trials (CENTRAL) for relevant literature published over the last 10 years and found that advanced interventions targeting the aforementioned conditions helped to significantly improve postoperative outcomes among these patients. Going forward, protocols from advanced interventions for detecting, diagnosing, and treating nutrition problems in geriatric patients with hip fractures should become standard practice in healthcare settings.

Modified fragility index and surgical complexity score are able to predict postoperative morbidity and mortality after cytoreductive surgery for advanced ovarian cancer

OBJECTIVE

The aim of this study was to assess the impact of surgical complexity on postoperative complications and mortality, according to patient's frailty (mFI) following surgery for ovarian cancer.

METHODS

Patients undergoing cytoreductive surgery for ovarian cancer from 2008 to 2018 were identified from our database. A surgical complexity score from 1 to 3 was used to assess the extent of surgery (simple to complex, respectively). mFI with 11 variables, based on mapping the Canadian Study of Health and Aging Frailty Index to the NSQIP comorbidities was evaluated. Data were analyzed using Fisher exact test, independent sample t-test, and logistic regression.

RESULTS

Of 263 patients identified, 33% reported at least one postoperative complication and 6% had severe complications. BMI ≥ 30 (p = 0.04) increased mFI (p = 0.04) and high-complexity surgery (p < 0.001) were independent predictors of severe complications (G3-G5). Patients with high frailty index score (mFI ≥ 3) who underwent intermediate or high-complexity surgery were at higher risk of severe complications ranging from 29.4% to 50.

CONCLUSIONS

The combined evaluation of mFI and surgical complexity expected may identify patients at higher risk for severe morbidity allowing to stratify patients who are less likely to tolerate a surgical extensive treatment.

The impact of frailty on posttraumatic outcomes in older trauma patients: A systematic review and meta-analysis

BACKGROUND

Frailty is a risk factor for mortality among the elderly. However, evidence from longitudinal studies linking trauma and frailty is fragmented, and a comprehensive analysis of the relationship between frailty and adverse outcomes is lacking. Therefore, we conducted a systematic review and meta-analysis to examine whether frailty is predictive of posttraumatic results including mortality, adverse discharge, complications, and readmission in trauma patients.

METHODS

This systematic review was registered with the PROSPERO international prospective register of systematic reviews. Articles in PubMed, Embase, and Web of Science databases from January 1, 1990, to October 31, 2019, were systematically searched. Articles in McDonald et al.'s study (J Trauma Acute Care Surg. 2016;80(5):824-834) and Cubitt et al.'s study (Injury 2019;50(11):1795-1808) were included for studies evaluating the association between frailty and outcomes in trauma patients. Cohort studies, both retrospective and prospective, were included. Study population was patients suffering trauma injuries with an average age of 50 years and older. Multivariate adjusted odds ratios (ORs) were calculated through a random-effects model, and the Newcastle-Ottawa Quality Assessment Scale was used to assess studies.

RESULTS

We retrieved 11,313 entries. Thirteen studies including seven prospective and six retrospective cohort studies involving 50,348 patients were included in the meta-analysis. Frailty was a significant predictor of greater than 30-day mortality (OR, 2.41; 95% confidence interval [CI], 1.17-4.95; I = 88.1%), in-hospital and 30-day mortality (OR, 4.05; 95% CI, 2.02-8.11; I = 0%), postoperative complications (OR, 2.23; 95% CI, 1.34-3.73; I = 78.2%), Clavien-Dindo IV complications (OR, 4.16; 95% CI, 1.70-10.17; I = 0%), adverse discharge (OR, 1.80; 95% CI, 1.15-2.84; I = 78.6%), and readmission (OR, 2.16; 95% CI, 1.19-3.91; I = 21.5%) in elderly trauma patients. Subgroup analysis showed that prospective studies (OR, 3.06; 95% CI, 1.43-6.56) demonstrated a greater correlation between frailty and postoperative complications.

CONCLUSION

Frailty has significant adverse impacts on the occurrence of posttraumatic outcomes. Further studies should focus on interventions for patients with frailty. Given the number of vulnerable elderly trauma patients grows, further studies are needed to determine the accuracy of these measures in terms of trauma outcomes.

LEVEL OF EVIDENCE

Systematic review and meta-analysis, level IV.