Deficit Accumulation and Phenotype Assessments of Frailty Both Poorly Predict Duration of Hospitalization and Serious Complications after Noncardiac Surgery

The Prediction of Postoperative Delirium Using the Preoperative Assessments of Frailty and Cognitive Impairment in Aged Patients

Purpose

Frailty and cognitive impairment are closely associated with postoperative delirium. The purpose of this study was to compare the ability of screening tools assessing preoperative frailty and cognitive impairment to predict Postoperative delirium (POD) and the association with prevalence of postoperative complications, Intensive Care Unit (ICU) admission, and the hospital length of stay.

Patients and Methods

Two hundred and ninety-nine patients aged ≥60 years presenting for elective major thoracic or abdominal surgery were divided into preoperative frailty and no frailty groups or cognitive impairment and no cognitive impairment groups. The primary outcome was the incidence of postoperative delirium. The secondary outcomes included postoperative complications, ICU admission, and hospital lengths of stay.

Results

Frailty (25.6% VS 14.6%, P = 0.017) and cognitive impairment (32.7% VS 13.4%, P < 0.001) were associated with POD. However, the area under the receiver operating characteristic curve (AUC-ROC) between frailty (0.657 [95% CI 0.60-0.71]) and cognitive impairment (0.661 [95% CI 0.60-0.71]) for POD was not different (P = 0.9) and both lower than the integrated predictive model of age, body mass index (BMI), American Society of Anesthesiologists (ASA) status, duration of surgery, morphine equivalent, surgical risk, frailty and cognitive impairment (0.814 [95% CI 0.77-0.86], P < 0.0001, P < 0.0001). Besides, frailty (15.6% vs 6.3%, P = 0.010) and cognitive impairment (16.3% vs 8.0%, P = 0.029) was associated with the incidence of postoperative complications.

Conclusion

Preoperative frailty and cognitive impairment were associated with POD. However, preoperative frailty or cognitive impairment by themselves were comparably poor predictors of POD. A comprehensive predictive model including age, BMI, ASA status, duration of surgery, morphine equivalent, surgical risk, frailty and cognitive impairment was more useful to predict POD.

Stroke and frailty index: a two-sample Mendelian randomisation study

INTRODUCTION

Previous observational studies have found an increased risk of frailty in patients with stroke. However, evidence of a causal relationship between stroke and frailty is scarce. The aim of this study was to investigate the potential causal relationship between stroke and frailty index (FI).

METHODS

Pooled data on stroke and debility were obtained from genome-wide association studies (GWAS).The MEGASTROKE Consortium provided data on stroke (N = 40,585), ischemic stroke (IS,N = 34,217), large-vessel atherosclerotic stroke (LAS,N = 4373), and cardioembolic stroke (CES,N = 7 193).Summary statistics for the FI were obtained from the most recent GWAS meta-analysis of UK BioBank participants and Swedish TwinGene participants of European ancestry (N = 175,226).Two-sample Mendelian randomization (MR) analyses were performed by inverse variance weighting (IVW), weighted median, MR-Egger regression, Simple mode, and Weighted mode, and heterogeneity and horizontal multiplicity of results were assessed using Cochran's Q test and MR-Egger regression intercept term test.

RESULTS

The results of the current MR study showed a significant correlation between stroke gene prediction and FI (odds ratio 1.104, 95% confidence interval 1.064 - 1.144, P < 0.001). In terms of stroke subtypes, IS (odds ratio 1.081, 95% confidence interval 1.044 - 1.120, P < 0.001) and LAS (odds ratio 1.037, 95% confidence interval 1.012 - 1.062, P = 0.005). There was no causal relationship between gene-predicted CES and FI. Horizontal multidimensionality was not found in the intercept test for MR Egger regression (P > 0.05), nor in the heterogeneity test (P > 0.05).

CONCLUSIONS

This study provides evidence for a causal relationship between stroke and FI and offers new insights into the genetic study of FI.

Risk Factors of Serious Adverse Events for Geriatric Hip Fractures: Is it the Frailty or the Timing?

Objective

Preoperative frailty and surgical waiting times are associated with the occurrence of adverse outcomes in patients with hip fractures. Specifically, we aimed to investigate the influence of frailty status and surgical timing on the risk of serious adverse events during hospitalization.

Methods

This study utilized an observational single cohort design and included patients aged ≥60 years with a primary diagnosis of hip fracture. Frailty was assessed using the chart-derived frailty index (CFI), which was calculated based on demographic and routine laboratory variables. The primary outcome of interest was the occurrence of in-hospital serious adverse events. A multivariate logistic regression model was utilized to examine the risk factors influencing outcomes.

Results

The study included 427 participants, with a mean age of 80.28 ± 8.13 years and 64.2% of whom were female. Patients with high CFI have more comorbidities (P < .001), lower surgical rates (P = .002), and delayed surgical times (P = .033). A total of 239 patients (56.0%) experienced serious adverse events. The high CFI group had a significantly higher occurrence of serious adverse events compared to the low CFI group (73.4% vs 48.5%, P < .001). After adjusting for surgical timing and covariates, the multivariate logistic regression analysis revealed that high frailty significantly increased the risk for serious adverse events (OR = 2.47, 95% CI 1.398-4.412), infection (OR = 1.99, 95% CI 1.146-3.446), acute heart failure (OR = 3.37, 95% CI 1.607-7.045). However, the timing of surgery did not demonstrate any association with these outcomes. In addition, after adjusting for surgical factors, high CFI remains an independent risk factor for these complications.

Conclusions

Frailty serves as a reliable predictor of the probability of encountering severe adverse events while hospitalized for elderly individuals with hip fractures. This method has the potential to pinpoint particular modifiable factors that necessitate intervention, whereas the impact of surgical timing remains uncertain and necessitates additional research.

Automated Electronic Frailty Index-Identified Frailty Status and Associated Postsurgical Adverse Events

Importance

Electronic frailty index (eFI) is an automated electronic health record (EHR)-based tool that uses a combination of clinical encounters, diagnosis codes, laboratory workups, medications, and Medicare annual wellness visit data as markers of frailty status. The association of eFI with postanesthesia adverse outcomes has not been evaluated.

Objective

To examine the association of frailty, calculated as eFI at the time of the surgical procedure and categorized as fit, prefrail, or frail, with adverse events after elective noncardiac surgery.

Design, Setting, and Participants

This cohort study was conducted at a tertiary care academic medical center in Winston-Salem, North Carolina. The cohort included patients 55 years or older who underwent noncardiac surgery of at least 1 hour in duration between October 1, 2017, and June 30, 2021.

Exposure

Frailty calculated by the eFI tool. Preoperative eFI scores were calculated based on available data 1 day prior to the procedure and categorized as fit (eFI score: ≤0.10), prefrail (eFI score: >0.10 to ≤0.21), or frail (eFI score: >0.21).

Main Outcomes and Measures

The primary outcome was a composite of the following 8 adverse component events: 90-item Patient Safety Indicators (PSI 90) score, hospital-acquired conditions, in-hospital mortality, 30-day mortality, 30-day readmission, 30-day emergency department visit after surgery, transfer to a skilled nursing facility after surgery, or unexpected intensive care unit admission after surgery. Secondary outcomes were each of the component events of the composite.

Results

Of the 33 449 patients (median [IQR] age, 67 [61-74] years; 17 618 females [52.7%]) included, 11 563 (34.6%) were classified as fit, 15 928 (47.6%) as prefrail, and 5958 (17.8%) as frail. Using logistic regression models that were adjusted for age, sex, race and ethnicity, and comorbidity burden, patients with prefrail (odds ratio [OR], 1.24; 95% CI, 1.18-1.30; P < .001) and frail (OR, 1.71; 95% CI, 1.58-1.82; P < .001) statuses were more likely to experience postoperative adverse events compared with patients with a fit status. Subsequent adjustment for all other potential confounders or covariates did not alter this association. For every increase in eFI of 0.03 units, the odds of a composite of postoperative adverse events increased by 1.06 (95% CI, 1.03-1.13; P < .001).

Conclusions and Relevance

This cohort study found that frailty, as measured by an automatically calculated index integrated within the EHR, was associated with increased risk of adverse events after noncardiac surgery. Deployment of eFI tools may support screening and possible risk modification, especially in patients who undergo high-risk surgery.

Frailty: the perioperative and anesthesia challenges of an emerging pandemic

Frailty is a complex and multisystem biological process characterized by reductions in physiological reserve. It is an increasingly common phenomena in the surgical population, and significantly impacts postoperative recovery. In this review, we will discuss the pathophysiology of frailty, as well as preoperative, intraoperative, and postoperative considerations for frailty care. We will also discuss the different models of postoperative care, including enhanced recovery pathways, as well as elective critical care admission. With discoveries of new effective interventions, and advances in healthcare information technology, optimized pathways could be developed to provide the best care possible that meets the challenges of perioperative frailty.

Is Frailty a Good Predictor of Postoperative Complications in Elective Abdominal Surgery?-A Single-Center, Prospective, Observational Study

BACKGROUND

Despite the common occurrence of postoperative complications in patients with frailty syndrome, the nature and severity of this relationship remains unclear. We aimed to assess the association of frailty with possible postoperative complications after elective, abdominal surgery in participants of a single-centre prospective study in relation to other risk classification methods.

METHODS

Frailty was assessed preoperatively using the Edmonton Frail Scale (EFS), Modified Frailty Index (mFI) and Clinical Frailty Scale (CFS). Perioperative risk was assessed using the American Society of Anesthesiology Physical Status (ASA PS), Operative Severity Score (OSS) and Surgical Mortality Probability Model (S-MPM).

RESULTS

The frailty scores failed to predict in-hospital complications. The values of AUCs for in-hospital complications ranged between 0.5 and 0.6 and were statistically nonsignificant. The perioperative risk measuring system performance in ROC analysis was satisfactory with AUC ranging from 0.63 for OSS to 0.65 for S-MPM (p < 0.05 for each).

CONCLUSIONS

The analysed frailty rating scales proved to be poor predictors of postoperative complications in the studied population. Scales assessing perioperative risk performed better. Further studies are needed to obtain optimal predictive tools in senior patients undergoing surgery.

Can the Tilburg Frailty Indicator predict post-operative quality of recovery in patients with gynecologic cancer? A prospective cohort study

OBJECTIVE

Frailty is a marker of physiologic decline within multiple organ systems. The Tilburg Frailty Indicator (TFI) is an instrument for assessing frailty. We evaluated the ability of the TFI to predict the quality of post-operative recovery in patients with gynecologic cancer and explored the associations between frailty, post-operative complications, and length of stay.

METHODS

We conducted a prospective cohort study of patients scheduled for radical gynecologic cancer surgery between May 2021 and January 2022, and defined a TFI score ≥5 as 'frailty'. Our primary outcome was the post-operative quality of recovery based on the Quality of Recovery-15 (QoR-15), and the secondary outcomes were post-operative complications and length of stay. Multiple logistic regression was used to examine the relationship between frailty and outcomes. We developed receiver operating characteristics (ROCs) and assessed areas under the ROC curves (AUCs) to explore the ability of frailty to predict the quality of post-operative recovery.

RESULTS

A total of 169 patients were included. The prevalence of frailty using the TFI was 47.9% in this cohort. In the multivariate regression analysis, frailty emerged as a significant predictor of the 3-day QoR-15 score (aOR 11.69, 95% CI 4.26 to 32.08; p˂0.001) and complications (aOR 10.05, 95% CI 1.66 to 60.72; p=0.012). Frailty was not associated with length of stay (aOR 2.12, 95% CI 0.87 to 5.16; p=0.099). The combination of the TFI, American Society of Anesthesiologists (ASA) classification, and types of cancer resulted in an increase in the AUC compared with the TFI alone (AUC 0.796, 95% CI 0.727 to 0.865; p˂0.05).

CONCLUSIONS

The use of the TFI may assist surgeons in estimating the risk with respect to post-operative quality of recovery and complications in patients with gynecologic cancer. Combining the TFI with ASA classification and cancer type is expected to improve the predictive ability of poor quality of recovery.

A nationwide analysis on the interaction between frailty and beta-blocker therapy in hip fracture patients

INTRODUCTION

Hip fracture patients, who are often frail, continue to be a challenge for healthcare systems with a high postoperative mortality rate. While beta-blocker therapy (BBt) has shown a strong association with reduced postoperative mortality, its effect in frail patients has yet to be determined. This study's aim is to investigate how frailty, measured using the Orthopedic Hip Frailty Score (OFS), modifies the effect of preadmission beta-blocker therapy on mortality in hip fracture patients.

METHODS

This retrospective register-based study included all adult patients in Sweden who suffered a traumatic hip fracture and subsequently underwent surgery between 2008 and 2017. Treatment effect was evaluated using the absolute risk reduction (ARR) in 30-day postoperative mortality when comparing patients with (BBt+) and without (BBt-) ongoing BBt. Inverse probability of treatment weighting (IPTW) was used to reduce potential confounding when examining the treatment effect. Patients were stratified based on their OFS (0, 1, 2, 3, 4 and 5) and the treatment effect was also assessed within each stratum.

RESULTS

A total of 127,305 patients were included, of whom 39% had BBt. When IPTW was performed, there were no residual differences in observed baseline characteristics between the BBt+ and BBt- groups, across all strata. This analysis found that there was a stepwise increase in the ARRs for each additional point on the OFS. Non-frail BBt+ patients (OFS 0) exhibited an ARR of 2.2% [95% confidence interval (CI) 2.0-2.4%, p < 0.001], while the most frail BBt+ patients (OFS 5) had an ARR of 24% [95% CI 18-30%, p < 0.001], compared to BBt- patients within the same stratum.

CONCLUSION

Beta-blocker therapy is associated with a reduced risk of 30-day postoperative mortality in frail hip fracture patients, with a greater effect being observed with higher Orthopedic Hip Frailty Scores.

Factors Predicting Frailty Among Postoperative Brain Tumor Patients

ABSTRACT

BACKGROUND: Surgical frailty is a condition in which patients are weak with varied recovery of various organ functions after surgery resulting in unpleasant outcomes. Frailty studies have been conducted in several populations with a limited knowledge on postoperative brain tumor patients. This study aimed to examine factors predicting frailty in brain tumor patients after craniotomy. METHODS: This study was a cross-sectional predictive study. The sample included 85 patients who were 18 years or older and underwent craniotomy with tumor removal from 1 university hospital in Bangkok, Thailand, between February and October 2021. Data were analyzed using descriptive statistic, Pearson correlation, and multiple linear regression, which determined significance level at .05. RESULTS: The prevalence of frailty among participants was 50.6%. Postoperative symptom and mood state were positively associated with frailty (r = 0.410 and r = 0.448, respectively; P < .01). Postoperative symptom, mood state, age, tumor type, and income could explain the variance of frailty in brain tumor patients after craniotomy by 40.3% (R2 = 0.403, P < .01). CONCLUSION: Healthcare providers should plan for discharge planning including assessment and develop the intervention for managing postoperative symptoms and psychological symptoms to promote recovery from frailty that generally occurs after brain tumor surgery.

Severe functional impairment increases the risk of major morbidity and mortality in older patients after digestive tract surgery: a retrospective cohort study

PURPOSE

The relationship between the severity of impairment in basic activities of daily living (ADLs) function and postoperative outcomes in older surgical patients remains unclear. This study aimed to clarify the association between the severity of preoperative functional impairment and the composite postoperative outcome of major morbidity and mortality in older patients undergoing digestive tract surgery.

METHODS

This was a retrospective cohort study. We collected perioperative data of older patients (age ≥ 65 years) who underwent digestive tract surgery in our institution. The severity of functional impairment was assessed using the Barthel Index scale before surgery. The major morbidity and mortality were defined as Clavien-Dindo grade III or greater postoperative complications during hospital stay. The association between the severity of functional impairment and the major morbidity and mortality was assessed using a multivariable logistic regression model.

RESULTS

131 of 1076 patients (12.2%) developed major morbidity and mortality. After controlling for confounding factors, high Barthel Index scores were correlated with decreased risk of major morbidity and mortality (OR 0.986, 95% CI 0.976-0.997, P = 0.011); preoperative severe (OR 2.862, 95% CI 1.172-6.989, P = 0.021), but not mild or moderate (OR 1.019, 95% CI 0.602-1.726, P = 0.943) functional impairment was independently associated with an increased risk of major morbidity and mortality, when compared with independent functional status.

CONCLUSIONS

Preoperative severe functional impairment in basic ADLs was independently associated with a higher risk of major postoperative morbidity and mortality in older patients undergoing digestive tract surgery.

Association of Pre-operative Functional Disability with Chronic Postsurgical Pain: A Prospective Observational Study

BACKGROUND

Chronic postsurgical pain negatively affects postoperative recovery. We aimed to assess the association between pre-operative functional disability and chronic postsurgical pain.

METHODS

This secondary analysis of a prospective observational study included 920 inpatients aged≥55 years undergoing elective abdominal surgery. We assessed functional disability using the 12-item World Health Organization Disability Assessment Schedule 2.0 before surgery and measured postoperative pain using a numerical rating scale at a postanaesthetic clinic 3 months and 1 year after surgery. We performed multiple logistic regression analysis to determine associations with chronic postsurgical pain 1 year after surgery. We analysed the sequential pain score using a mixed-effects model in patients with and without pre-operative functional disability. The primary outcome in this study was chronic postsurgical pain and its associated factors with a focus on preoperative functional disability. The secondary outcome was pain trajectories in patients with and without preoperative functional disability.

RESULTS

Of the 899 patients included in the analysis, 11.9% had chronic postsurgical pain 1 year later. The multiple logistic regression analysis revealed that pre-operative functional disability was associated with this outcome (OR 2.80, 95% CI, 1.70 to 4.59) as well as use of pre-operative pain medication (OR 2.74, 95% CI, 1.24 to 6.03) and pain numerical rating scale at the postanaesthetic clinic (OR 1.19, 95% CI 1.10 to 1.29). The pain trajectories were different in the presence or absence of functional disability (P<0.001) and the time of measurement (P<0.001).

CONCLUSIONS

Pre-operative functional disability was associated with chronic postsurgical pain and pain trajectories.

Prevalence of undernutrition in surgical patients and the effect on length of hospital stay

BACKGROUND

Low nutritional status is common among surgical patients. A low nutrition profile is related to muscle weakness and immune suppression, which may be associated with negative outcomes. In this study, we evaluated the prevalence of low nutrition and assessed the relationship between nutritional status and length of hospital stay in surgical patients.

METHODS

The study participants were patients who underwent abdominal surgery between 2016 and 2018 at our hospital. The Mini Nutritional Status Short-Form score and patient demographics, including current medical status, were extracted from the medical records. Data on anesthesia time, blood loss, and use of epidural anesthesia were also recorded. The primary study outcome was the difference in length of hospitalization from the standard duration (hospitalization = actual length of hospitalization-standard length of hospitalization).

RESULTS

Eight hundred and thirty five patients met the inclusion criteria. Their nutritional status was classified as normal (59.0%), at risk (29.6%), or malnutrition (11.4%). Linear regression analysis revealed that nutritional status, serum albumin level, and anesthesia time were associated with the length of hospital stay.

CONCLUSION

Our results suggest that a low nutrition profile before surgery is associated with a prolonged hospital stay.

Routine Frailty Screening in Critical Illness: A Population-Based Cohort Study in Australia and New Zealand

BACKGROUND

Frailty is associated with poor outcomes in critical illness. However, it is unclear whether frailty screening on admission to the ICU can be conducted routinely at the population level and whether it has prognostic importance.

RESEARCH QUESTION

Can population-scale frailty screening with the Clinical Frailty Scale (CFS) be implemented for critically ill adults in Australia and New Zealand (ANZ) and can it identify patients at risk of negative outcomes?

STUDY DESIGN AND METHODS

We conducted a binational prospective cohort study of critically ill adult patients admitted between July 1, 2018, and June 30, 2020, in 175 ICUs in ANZ. We classified frailty with the CFS on admission to the ICU. The primary outcome was in-hospital mortality; secondary outcomes were length of stay (LOS), discharge destination, complications (delirium, pressure injury), and duration of survival.

RESULTS

We included 234,568 critically ill patients; 45,245 (19%) were diagnosed as living with frailty before ICU admission. Patients with vs without frailty had higher in-hospital mortality (16% vs 5%; P < .001), delirium (10% vs 4%; P < .001), longer LOS in the ICU and hospital, and increased new chronic care discharge (3% vs 1%; P < .001), with worse outcomes associated with increasing CFS category. Of patients with very severe frailty (CFS score, 8), 39% died in hospital vs 2% of very fit patients (CFS score, 1; multivariate categorical CFS score, 8 [reference, 1]; OR, 7.83 [95% CI, 6.39-9.59]; P < .001). After adjustment for illness severity, frailty remained highly significantly predictive of mortality, including among patients younger than 50 years, with improvement in the area under the receiver operating characteristic curve of the Acute Physiology and Chronic Health Evaluation III-j score to 0.882 (95% CI, 0.879-0.885) from 0.868 (95% CI, 0.866-0.871) with the addition of frailty (P < .001).

INTERPRETATION

Large-scale population screening for frailty degree in critical illness was possible and prognostically important, with greater frailty (especially CFS score of ≥ 6) associated with worse outcomes, including among younger patients.

Perioperative frailty: lessons learned and future directions

PURPOSE OF REVIEW

As the surgical population ages, preoperative diagnosis and optimization of frailty becomes increasingly important. Various concepts are used to define frailty, and several tools have been validated for use in the perioperative period. This article reviews current conceptual frameworks of frailty, references current literature and provides a practical approach to the preoperative frailty assessment with a focus on potential interventions.

RECENT FINDINGS

A multipronged approach toward preoperative optimization should be used in patients with frailty syndrome. Oral protein supplementation and immunonutrition therapy can reduce complications in patients with malnutrition. Initiating a preoperative physical exercise regimen may mitigate frailty. Nonpharmacologic interventions to reduce preoperative anxiety and improve mood are effective, low-cost adjuncts associated with improvement in postoperative outcomes. Engaging in shared decision making is a critical component of the preoperative evaluation of frail patients.

SUMMARY

Emerging evidence suggests that frailty may be mitigated with patient-specific, multidimensional preoperative interventions, thus potentially improving postoperative outcomes in this vulnerable patient population.

Frailty is an independent risk factor of one-year mortality after elective orthopedic surgery: a prospective cohort study

Frailty is associated with perioperative adverse outcomes, especially for the elderly. This study aimed to assess whether frailty was an independent risk factor of one-year mortality in frail patients after elective orthopedic surgery. In this prospective study, three hundred and thirteen patients aged ≥ 65 years, undergoing elective orthopedic surgery were finally included. Frailty assessed by the Clinical Frailty Score (CFS) before the surgery was present in 29.7% (93/313). Among them, 7.7% of patients (24/313) died at one year after surgery. In multivariate logistic analysis, higher CFS (OR = 2.271, 95% CI= 1.472–3.504) was found to be an independent risk factor of one-year mortality after surgery in elderly orthopedic patients. The area under the receiver operating characteristic curve of the model was 0.897 (95% CI 0.834–0.959). In addition, we found higher Charlson comorbidity index (OR= 1.498, 95% CI = 1.082–2.073) was also a significant risk factor. In conclusion, frailty is associated with increased one-year mortality in elderly patients after elective orthopedic surgery, which should be considered as a routine assessment tool in preoperative practice.

Preoperative Frailty Predicts Postoperative Neurocognitive Disorders After Total Hip Joint Replacement Surgery

BACKGROUND

Frailty is a reduced capacity to recover from a physiologically stressful event. It is well established that preoperative frailty is associated with poor postoperative outcomes, but it is unclear if this includes cognitive decline following anesthesia and surgery. This retrospective observational study was a secondary analysis of data from a previous study (the Anaesthesia, Cognition, Evaluation [ACE] study). We aimed to identify if preoperative frailty or prefrailty is associated with preoperative and postoperative neurocognitive disorders or postoperative cognitive dysfunction.

METHODS

The ACE study enrolled 300 participants aged ≥60 scheduled for elective total hip joint replacement and who underwent a full neuropsychological assessment at baseline and 3 and 12 months postoperatively. We applied patient data to 2 frailty models; both were based on an accumulation of deficits score: the reported Edmonton frail scale (REFS) and the comprehensive geriatric assessment-frailty index (CGA-FI) based on the comprehensive geriatric assessment. We calculated these 2 scores using baseline data collected from the medical history, demographic and clinical data as well as self-reported questionnaires. Some items on the REFS (3 of 18 or 17%) and the CGA-FI (37 of 51 or 27%) did not have an equivalent item in the ACE data.

RESULTS

The mean age (standard deviation [SD]) was 70.1 years (6.6) with more women (197 [66%]). Using the REFS model, 40 of 300 (13.3%) patients were classified as vulnerable, mild, or moderately frail. Using the CGA-FI model, 69 of 300 (23%) were classified as intermediate or high frailty. The REFS and the CGA-FI were strongly correlated (r = 0.75; P < .01) with 34 of 300 (11%) meeting criteria for frailty by both the REFS and the CGA-FI.Frailty or prefrailty was associated with cognitive decline at 3 and 12 months using the REFS (odds ratio [OR], 1.51, 95% confidence interval [CI], 1.02-2.23 and OR, 2.00, 95% CI, 1.26-3.17, respectively) after adjusting for baseline mini-mental state examination (MMSE), smoking, hypertension, diabetes, history of acute myocardial infarction (AMI), and estimated intelligence quotient (IQ). Age did not modify this association. After adjusting for multiple comparisons, 3-month cognitive decline was no longer significantly associated with baseline frailty.

CONCLUSIONS

This retrospective analysis demonstrates an association between baseline frailty and postoperative neurocognitive disorders, particularly using the more extensive REFS scoring method. This supports preoperative screening for frailty to risk-stratify patients, and identify and implement preventive strategies and to improve postoperative outcomes for older individuals.

Informed Consent in Patients With Frailty Syndrome

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

Accuracy and Feasibility of Clinically Applied Frailty Instruments before Surgery

Background

A barrier to routine preoperative frailty assessment is the large number of frailty instruments described. Previous systematic reviews estimate the association of frailty with outcomes, but none have evaluated outcomes at the individual instrument level or specific to clinical assessment of frailty, which must combine accuracy with feasibility to support clinical practice.

Methods

The authors conducted a preregistered systematic review (CRD42019107551) of studies prospectively applying a frailty instrument in a clinical setting before surgery. Medline, Excerpta Medica Database, Cochrane Library and the Comprehensive Index to Nursing and Allied Health Literature, and Cochrane databases were searched using a peer-reviewed strategy. All stages of the review were completed in duplicate. The primary outcome was mortality and secondary outcomes reflected routinely collected and patient-centered measures; feasibility measures were also collected. Effect estimates were pooled using random-effects models or narratively synthesized. Risk of bias was assessed.

Results

Seventy studies were included; 45 contributed to meta-analyses. Frailty was defined using 35 different instruments; five were meta-analyzed, with the Fried Phenotype having the largest number of studies. Most strongly associated with: mortality and nonfavorable discharge was the Clinical Frailty Scale (odds ratio, 4.89; 95% CI, 1.83 to 13.05 and odds ratio, 6.31; 95% CI, 4.00 to 9.94, respectively); complications was associated with the Edmonton Frail Scale (odds ratio, 2.93; 95% CI, 1.52 to 5.65); and delirium was associated with the Frailty Phenotype (odds ratio, 3.79; 95% CI, 1.75 to 8.22). The Clinical Frailty Scale had the highest reported measures of feasibility.

Conclusions

Clinicians should consider accuracy and feasibility when choosing a frailty instrument. Strong evidence in both domains support the Clinical Frailty Scale, while the Fried Phenotype may require a trade-off of accuracy with lower feasibility.

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