A Comparison of Three Frailty Indices in Predicting Morbidity and Mortality After On-Pump Aortic Valve Replacement

Prevalence of physical frailty and its associated factors among elderly patients undergoing hepatobiliary pancreatic surgery in China

Frailty is a geriatric syndrome characterized by a multisystem physiological decline, increased vulnerability to stressors, and adverse clinical outcomes. However, there is a knowledge gap regarding the association between frailty and its influencing factors. This study aimed to understand the current status of preoperative frailty in elderly patients with hepatobiliary pancreatic disease (HBP) and analyze debilitation-related factors. We enrolled 220 participants aged ≥ 65 years who underwent HBP surgery at two hospitals in China between December 2023 and February 2024. The physical frailty of elderly participants in communities with different characteristics was compared using Kruskal-Wallis and chi-square tests. Ordinal logistic regression analysis was used to analyze the factors influencing preoperative frailty. A total of 212 patients were included in the analysis based on the inclusion and exclusion criteria, with an overall prevalence of frailty at 53 (25%). Ordinal logistic regression analysis results showed that current smoking (odds ratio [OR] = 2.584, p = 0.006) was an independent risk factor for preoperative frailty in elderly participants with HBP. In contrast, exercise habits (OR = 0.323, p < 0.001), two or more multimorbidity statuses (OR = 0.495, p = 0.033), and independent status (OR = 0.216, p < 0.001) were protective factors. Our results suggest that having good exercise habits, not smoking, and independent status can prevent frailty progression in older adults who require HBP surgery. Interventions for frail elderly patients should be supported preoperatively by strengthening exercises to improve tolerance to surgery.

Preoperative Modified Frailty Index-11 versus EuroSCORE II in Predicting Postoperative Mortality and Complications in Elderly Patients Who Underwent Elective Open Cardiac Surgery: A Retrospective Cohort Study

OBJECTIVE

To compare sensitivity, specificity, receiver operating characteristic (ROC), and area under the curve (AUC) values using the modified Frailty Index 11 (mFI-11), EuroSCORE II, and combined mFI-11 and EuroSCORE II to predict in-hospital mortality and composite morbidities.

DESIGN

Retrospective cohort study SETTING: Songklanagarind Hospital, a tertiary care center in southern Thailand.

PARTICIPANTS

Elderly patients age ≥60 years who underwent elective open-heart surgical procedures on a pump between January 2017 and December 2022 were included.

INTERVENTIONS

ROC curves were constructed to evaluate the discriminatory power of EuroSCORE II and mFI-11 for predicting in-hospital mortality and postoperative complications.

MEASUREMENTS AND MAIN RESULTS

The actual in-hospital mortality was 2.5% for all patients. The discriminative accuracy of mFI-11, EuroSCORE II, and combined mFI-11 with EuroSCORE II for predicting in-hospital mortality was good, with respective AUC values of 0.733 (95% confidence interval [CI], 0.6157-0.8499), 0.793 (95% CI, 0.6826-0.9026), and 0.78 (95% CI, 0.6686-0.893). The AUC of mFI-11 for predicting postoperative cardiac, respiratory, neurologic, and renal complications was 0.558 (95% CI, 0.5101-0.6063), 0.606 (95% CI, 0.5542-0.6581), 0.543 (95% CI, 0.4533-0.6337), and 0.652 (95% CI, 0.5859-0.7179), respectively, and that of EuroSCORE II was 0.553 (95% CI, 0.5038-0.6013), 0.631 (95% CI, 0.578-0.6836), 0.619 (95% CI, 0.5306-0.7076), and 0.702 (95% CI, 0.6378-0.7657), respectively.

CONCLUSIONS

The mFI-11 and EuroSCORE II demonstrated good discrimination in ROC analysis, with EuroSCORE II showing superior predictive accuracy for in-hospital mortality in elderly elective cardiac surgery patients. However, neither score independently predicted mortality in multiple logistic regression, nor did combining them enhance predictive power significantly. Furthermore, both scores were less effective in predicting postoperative complications.

Estimated prevalence of frailty and prefrailty in patients undergoing coronary artery or valvular surgeries/procedures: A systematic review and proportional meta-analysis

BACKGROUND

The aging population has led to an increasing number of older patients undergoing cardiac surgeries/procedures. Frailty and prefrailty have emerged as important prognostic indicators among these patients. This proportional meta-analysis estimated the prevalence of frailty and prefrailty among patients undergoing cardiac surgery.

METHODS

We searched seven electronic databases for observational studies that used validated measure(s) of frailty and reported prevalence data on frailty and/or prefrailty in older patients undergoing coronary artery or valvular surgeries or transcatheter procedures. Meta-analyses were performed using a random-effects model.

RESULTS

One hundred and one articles involving 626,863 patients were included. The pooled prevalence rates of frailty and prefrailty were 28% (95% confidence interval [CI]: 23%-33%) and 40% (95% CI: 31%-50%), respectively, for patients scheduled for open-heart surgeries and 40% (95% CI: 36%-45%) and 43% (95% CI: 34%-53%), respectively, for patients undergoing transcatheter procedures. Frailty measured using a multidimensional approach identified a higher proportion of frail patients when compared with measures solely focused on physical frailty. Older age, female sex, and lower body mass index and hemoglobin concentrations were significantly associated with higher frailty prevalence. Moreover, countries with higher gross domestic product spent on healthcare exhibited a higher frailty prevalence.

CONCLUSION

Frailty represents a considerable health challenge among patients undergoing cardiac surgeries/procedures. Routine screening for frailty should be considered during perioperative care planning.

Association of Frailty with Adverse Outcomes in Patients with Critical Acute Myocardial Infarction: A Retrospective Cohort Study

Background

Frailty is a risk factor for acute myocardial infarction (AMI). This study examined the association between the modified frailty index (MFI) and adverse outcomes in patients with critical AMI.

Methods

Data were obtained from the Medical Information Mart for Intensive Care IV database. Logistic and Cox regression models and a competing risk model were applied.

Results

Of 5003 patients, 1496 were non-frail and 3507 were frail. Frailty was significantly associated with in-hospital mortality (per point, OR 1.13, 95% CI: 1.05-1.21; frail vs non-frail, OR 1.31, 95% CI: 1.04-1.65) and 1-year mortality (per point, HR 1.15, 95% CI: 1.11-1.20; frail vs non-frail, HR 1.37, 95% CI: 1.20-1.58). Frailty was significantly associated with post-discharge care needs (per point, OR 1.23, 95% CI: 1.14-1.33; frail vs non-frail, OR 1.47, 95% CI: 1.22-1.78). In the competing risk models, frailty was significantly associated with a lower probability of being discharged from the ICU (per point, HR 0.87, 95% CI: 0.85-0.90; frail vs non-frail, HR 0.73, 95% CI: 0.68-0.79) and hospital (per point, HR 0.82, 95% CI: 0.80-0.85; frail vs non-frail, HR 0.62, 95% CI: 0.57-0.68). Subgroup analyses showed the association of frailty with in-hospital and 1-year mortality was stronger in patients with a SOFA score ≤2 than in those with a SOFA score >2 (both p<0.05 for interaction).

Conclusion

Frailty assessed by the MFI was an independent predictor of adverse outcomes in patients with critical AMI and may be helpful for prognostic risk stratification.

A Retrospective Cohort Study to Evaluate Adding Biomarkers to the Risk Analysis Index of Frailty

INTRODUCTION

The Risk Analysis Index (RAI) is a frailty assessment tool associated with adverse postoperative outcomes including 180 and 365-d mortality. However, the RAI has been criticized for only containing subjective inputs rather than including more objective components such as biomarkers.

METHODS

We conducted a retrospective cohort study to assess the benefit of adding common biomarkers to the RAI using the Veterans Affairs Surgical Quality Improvement Program (VASQIP) database. RAI plus body mass index (BMI), creatinine, hematocrit, and albumin were evaluated as individual and composite variables on 180-d postoperative mortality.

RESULTS

Among 480,731 noncardiac cases in VASQIP from 2010 to 2014, 324,320 (67%) met our inclusion criteria. Frail patients (RAI ≥30) made up to 13.0% of the sample. RAI demonstrated strong discrimination for 180-d mortality (c = 0.839 [0.836-0.843]). Discrimination significantly improved with the addition of Hematocrit (c = 0.862 [0.859-0.865]) and albumin (c = 0.870 [0.866-0.873]), but not for body mass index (BMI) or creatinine. However, calibration plots demonstrate that the improvement was primarily at high RAI values where the model overpredicts observed mortality.

CONCLUSIONS

While RAI's ability to predict the risk of 180-d postoperative mortality improves with the addition of certain biomarkers, this only observed in patients classified as very frail (RAI >49). Because very frail patients have significantly elevated observed and predicted mortality, the improved discrimination is likely of limited clinical utility for a frailty screening tool.

Preoperative frailty risk in deep brain stimulation patients: Risk analysis index predicts Clavien-Dindo IV complications

OBJECTIVE

Deep brain stimulation (DBS) improves patients' quality of life in multiple movement disorders and chronic neurodegenerative diseases. There are no published studies assessing frailty's impact on DBS outcomes. We evaluated frailty's impacts on DBS outcomes, comparing discriminative thresholds of the risk analysis index (RAI) to modified frailty index-5 (mFI-5) for predicting Clavien-Dindo complications (CDIV).

METHODS

Patients who underwent DBS between 2015 and 2019 in the ACS-NSQIP registry were included. We employed receiver operating characteristic (ROC) curve to examine the discriminative thresholds of RAI and mFI-5 and multivariable analyses for postoperative outcomes. Our primary outcome was CDIV, and secondary outcomes were discharge to higher-level care facility, unplanned reoperation within 30 days, in any hospital, for any procedure related to the index procedure, and extended length of stay.

RESULTS

A total of 3795 patients were included. In the ROC analysis for CDIV, RAI showed superior discriminative threshold (C-statistic = 0.70, 95% CI 0.61-0.80, <0.001) than mFI-5 (C-statistic = 0.60, 95% CI 0.49-0.70, P = 0.08). On multivariable analyses, frailty stratified by RAI, had independent associations with CDIV, i.e., pre-frail 2-fold increase OR 2.04 (95% CI: 1.94-2.14) p < 0.001, and frail 39% increase OR 1.39 (95% CI: 1.27-1.53), p < 0.001.

CONCLUSION

Frailty was an independent risk-factor for CDIV. The RAI had superior discriminative thresholds than mFI-5 in predicting CDIV after DBS. Our ability to identify frail patients prior to DBS presents a novel clinical opportunity for quality improvement strategies to target this specific patient population. RAI may be a useful primary frailty screening modality for potential DBS candidates.

Study protocol of a randomized controlled trial of fistula vs. graft arteriovenous vascular access in older adults with end-stage kidney disease on hemodialysis: the AV access trial

BACKGROUND

Treatment of end-stage kidney disease (ESKD) with hemodialysis requires surgical creation of an arteriovenous (AV) vascular access-fistula (AVF) or graft (AVG)-to avoid (or limit) the use of a central venous catheter (CVC). AVFs have long been considered the first-line vascular access option, with AVGs as second best. Recent studies have suggested that, in older adults, AVGs may be a better strategy than AVFs. Lacking evidence from well-powered randomized clinical trials, integration of these results into clinical decision making is challenging. The main objective of the AV Access Study is to compare, between the two types of AV access, clinical outcomes that are important to patients, physicians, and policy makers.

METHODS

This is a prospective, multicenter, randomized controlled trial in adults ≥ 60 years old receiving chronic hemodialysis via a CVC. Eligible participants must have co-existing cardiovascular disease, peripheral arterial disease, and/or diabetes mellitus; and vascular anatomy suitable for placement of either type of AV access. Participants are randomized, in a 1:1 ratio, to a strategy of AVG or AVF creation. An estimated 262 participants will be recruited across 7 healthcare systems, with average follow-up of 2 years. Questionnaires will be administered at baseline and semi-annually. The primary outcome is the rate of CVC-free days per 100 patient-days. The primary safety outcome is the cumulative incidence of vascular access (CVC or AV access)-related severe infections-defined as access infections that lead to hospitalization or death. Secondary outcomes include access-related healthcare costs and patients' experiences with vascular access care between the two treatment groups.

DISCUSSION

In the absence of studies using robust and unbiased research methodology to address vascular access care for hemodialysis patients, clinical decisions are limited to inferences from observational studies. The goal of the AV Access Study is to generate evidence to optimize vascular access care, based on objective, age-specific criteria, while incorporating goals of care and patient preference for vascular access type in clinical decision-making.

TRIAL REGISTRATION

This study is being conducted in accordance with the tenets of the Helsinki Declaration, and has been approved by the central institutional review board (IRB) of Wake Forest University Health Sciences (approval number: 00069593) and local IRB of each participating clinical center; and was registered on Nov 27, 2020, at ClinicalTrials.gov (NCT04646226).

Comparing the Clinical Frailty Scale and an International Classification of Diseases-10 Modified Frailty Index in Predicting Long-Term Survival in Critically Ill Patients

The Clinical Frailty Scale (CFS) is the most used frailty measure in intensive care unit (ICU) patients. Recently, the modified frailty index (mFI), derived from 11 comorbidities has also been used. It is unclear to what degree the mFI is a true measure of frailty rather than comorbidity. Furthermore, the mFI cannot be freely obtained outside of specific proprietary databases.

OBJECTIVE

To compare the performance of CFS and a recently developed International Classification of Diseases-10 (ICD-10) mFI (ICD-10mFI) as frailty-based predictors of long-term survival for up to 1 year.

DESIGN

A retrospective multicentric observational study.

SETTING AND PARTICIPANTS

All adult (≥16 yr) critically ill patients with documented CFS scores admitted to sixteen Australian ICUs in the state of Victoria between April 1, 2017 to June 30, 2018 were included. We used probabilistic methods to match de-identified ICU admission episodes listed in the Australia and New Zealand Intensive Care Society Adult Patient Database with the Victorian Admission Episode Dataset and the Victorian Death Index via the Victorian Data Linkage Centre.

MAIN OUTCOMES AND MEASURES

The primary outcome was the longest available survival following ICU admission. We compared CFS and ICD-10mFI as primary outcome predictors, after adjusting for key confounders.

RESULTS

The CFS and ICD-10mFI were compared in 7,001 ICU patients. The proportion of patients categorized as frail was greater with the CFS than with the ICD-10mFI (18.9% [n = 1,323] vs. 8.8% [n = 616]; p < 0.001). The median (IQR) follow-up time was 165 (82-276) days. The CFS predicted long-term survival up to 6 months after adjusting for confounders (hazard ratio [HR] = 1.26, 95% CI, 1.21-1.31), whereas ICD-10mFI did not (HR = 1.04, 95% CI, 0.98-1.10). The ICD-10mFI weakly correlated with the CFS (Spearman's rho = 0.22) but had a poor agreement (kappa = 0.06). The ICD-10mFI more strongly correlated with the Charlson comorbidity index (Spearman's rho 0.30) than CFS (Spearman's rho = 0.25) (p < 0.001).

CONCLUSIONS

CFS, but not ICD-10mFI, predicted long-term survival in ICU patients. ICD-10mFI correlated with co-morbidities more than CFS. These findings suggest that CFS and ICD-10mFI are not equivalent.

RELEVANCE

CFS and ICD-10mFI are not equivalent in screening for frailty in critically ill patients and therefore ICD-10mFI in its current form should not be used.

Association of preoperative frailty with postoperative delirium in elderly orthopedic trauma patients

BACKGROUND

Among elderly orthopedic trauma patients, the prevalence of delirium during hospitalization has been reported to be as high as 60%. Frail elderly patients have an increased risk of delirium after elective surgery; however, such an association remains underexplored among trauma patients.

AIM

Our goal was to investigate whether preoperative frailty is associated with postoperative delirium (POD) in elderly orthopedic trauma patients.

METHODS

We conducted a single-center, retrospective, cross-sectional study. All patients were ≥ 65 years of age and were admitted to the hospital between 01/01/2017 and 08/31/2018 for surgical intervention of a significant extremity fracture. Frailty was assessed using the fatigue, resistance, ambulation, illness, and loss of weight questionnaire. Delirium was assessed using the Confusion Assessment Method. POD was defined as new-onset delirium that occurred within 24 h after surgery. To investigate whether frailty is associated with POD, we performed a multiple variable logistic regression, controlling for biologically relevant confounders.

RESULTS

Five hundred fifty-six patients comprised the analytic cohort. Incidence of POD was 14% (n = 80). Multiple variable regression analysis demonstrated that each unit increment in FRAIL score was associated with a 33% higher likelihood of POD (OR 1.33; 95% CI 1.02-1.72, p = 0.03).

CONCLUSIONS

Our results suggest that preoperative frailty increases the risk of POD in hospitalized, elderly, orthopedic trauma patients. Future studies are needed to determine whether perioperative interventions focused on improving frailty can reduce the risk of POD and improve outcomes in this rapidly growing cohort of patients.

An Overview of Commonly Used Data Sources in Observational Research in Anesthesia

Anesthesia research using existing databases has drastically expanded over the last decade. The most commonly used data sources in multi-institutional observational research are administrative databases and clinical registries. These databases are powerful tools to address research questions that are difficult to answer with smaller samples or single-institution information. Given that observational database research has established itself as valuable field in anesthesiology, we systematically reviewed publications in 3 high-impact North American anesthesia journals in the past 5 years with the goal to characterize its scope. We identified a wide range of data sources used for anesthesia-related research. Research topics ranged widely spanning questions regarding optimal anesthesia type and analgesic protocols to outcomes and cost of care both on a national and a local level. Researchers should choose their data sources based on various factors such as the population encompassed by the database, ability of the data to adequately address the research question, budget, acceptable limitations, available data analytics resources, and pipeline of follow-up studies.

Frailty as a Predictor of Postoperative Outcomes in Invasive Cardiac Surgery: A Systematic Review of Literature

OBJECTIVES

Frailty is a syndrome characterized by increased vulnerability and reduced ability to maintain homeostasis after stressful events that results in an increased risk for poor outcomes. Frailty screening could potentially be valuable in cardiac surgery risk assessment. The purpose of this review is to evaluate the current literature linking multicomponent frailty assessment and invasive cardiac surgery outcomes.

METHODS

We searched PubMed, EMBASE, and CINAHL; 1887 articles met the search criteria, and each was independently reviewed by 2 reviewers.

RESULTS

The 19 eligible studies assessed 52 291 subjects using 17 different frailty measurements. The most commonly used instruments were the Fried Frailty Phenotype and the Clinical Frailty Scale. Between 9% and 61% of participants were found to be frail in each study. All 19 studies included mortality as an outcome, 12 included surgical complications, 12 included hospital length of stay, 3 included quality of life, and 2 included functional status. Nine found statistically significant differences in survival between frail and nonfrail patients, 6 of 12 found that frail patients had a longer length of stay, 4 of 12 found that frail patients were more likely to experience major complications, and 2 of 2 found that frail patients were more likely to have a decrease in functional status.

CONCLUSION

Although some studies lacked power, the majority confirmed that frail patients are more likely to experience poor outcomes. Further research is needed to determine which frailty measure provides the best predictive validity and to identify interventions to mitigate the risks that major cardiac surgery poses to frail patients.

Frailty as a Predictor of Adverse Outcomes After Peripheral Vascular Surgery in Patients With End-Stage Renal Disease

BACKGROUND

Frailty and end-stage renal disease (ESRD) are each independently associated with adverse outcomes in patients who undergo lower extremity vascular bypass operations (LEOs). It is not known whether frailty imparts additional risk to patients with ESRD having LEO.

METHODS

The study was a retrospective cohort study of 29 203 patients without ESRD and 1718 with ESRD who had LEO surgery between the years 2014 and 2018 extracted from the American College of Surgeons National Surgical Quality Improvement Program database. Preoperative frailty was assessed using a simplified frailty index based on a history of diabetes, heart failure, chronic obstructive pulmonary disease, hypertension, and functional status. Adverse outcomes measured were 30-day mortality, surgical complications, reoperation, length of stay, readmission, discharge destination, and any ("composite") adverse outcome. Odds ratios (ORs) for adverse outcomes were calculated with logistic regression.

RESULTS

Among patients with ESRD, the OR for having the composite adverse outcome was greater for frailty than for any of the other preoperative risk factors studied (OR 2.191, CI 1.569-3.061, P < .001). Adverse outcomes occurred in 84.3% of frail patients with ESRD, but in only 39.6% of the non-frail patients without ESRD.

CONCLUSIONS

Frailty imparts additional risk for adverse outcomes to patients with ESRD undergoing LEO.

Frailty and pre-frailty in cardiac surgery: a systematic review and meta-analysis of 66,448 patients

BACKGROUND

The burden of frailty on cardiac surgical outcomes is incompletely understood. Here we perform a systematic review and meta-analysis of studies comparing frail versus pre-frail versus non-frail patients following cardiac surgery.

METHODS

We searched MEDLINE and EMBASE databases until July 2018 for studies comparing cardiac surgery outcomes in "frail", "pre-frail" and "non-frail" patients. Data was extracted in duplicate. Primary outcome was operative mortality.

RESULTS

There were 19 observational studies with 66,448 patients. Frail patients were more likely female (risk ratio [RR]1.7; 95%CI:1.5-1.9), older (mean difference: 2.4; 95%CI:1.3-3.5 years older) with greater comorbidities and higher STS-PROM. Frailty (RR2.35; 95%CI:1.57-3.51; p < 0.0001) and pre-frailty (RR2.03; 95%CI:1.52-2.70; p < 0.00001) were associated with increased operative mortality compared with non-frail patients. Frailty was also associated with greater risk of prolonged hospital stay (RR1.83; 95%CI:1.61-2.08; p < 0.0001) and intermediate care facility discharge (RR2.71; 95%CI:1.45-5.05; p = 0.002). Frail (Hazard Ratio [HR]3.27; 95%CI:1.93-5.55; p < 0.0001) and pre-frail patients (HR2.30; 95%CI:1.29-4.09; p = 0.005) had worse mid-term mortality (median follow-up 1 years [range 0.5-4 years]). After adjustment for baseline imbalances, frailty was still associated with greater operative mortality (odds ratio [OR]1.97; 95%CI:1.51-2.57; p < 0.00001), intermediate care facility discharge (OR4.61; 95%CI:2.78-7.66; p < 0.00001) and midterm mortality (HR1.37; 95%CI:1.03-1.83; p = 0.03).

CONCLUSION

In patients undergoing cardiac surgery, frailty and pre-frailty were associated with 2-fold and 1.5-fold greater adjusted operative mortality, respectively, greater adjusted perioperative complications and frailty was associated with almost 5-fold risk of non-home discharge. Burden of frailty and pre-frailty on cardiac surgical outcomes.

Association of frailty with clinical outcomes in myelofibrosis: a retrospective cohort study

There is limited understanding of the impact of frailty on clinical outcomes in patients with myelofibrosis (MF). In this retrospective cohort study on 439 chronic phase MF patients [mean age: 68·7 ± 12 years; median follow-up: 3·4 years (IQR 0·4-8·6)] from 2004 till 2018, we used a 35-variable frailty index (FI) to categorise patient's frailty status as fit (FI < 0·2, reference), prefrail (FI 0·2-0·29) or frail (FI ≥ 0·3). The association of frailty with overall survival (OS) and cumulative JAK inhibitor (JAKi) therapy failure was measured using hazard ratio (HR, 95% CI). In multivariable analysis, prefrail (HR 1·7, 1·1-2·5) and frail patients (HR 2·9, 1·6-5·5), those with higher DIPSS score (HR 2·5, 1·6-3·9) and transfusion dependency (HR 1·9, 1·3-2·9) had shorter OS. In a subset analysis of patients on JAKi treatment (n = 222), frail patients (HR 2·5, 1·1-5·7), patients with higher DIPSS score (HR 1·7, 1·0-3·1) and transfusion dependence (HR 1·7, 1·1-2·7) had higher cumulative incidence of JAKi failure. Age, comorbidities, ECOG performance status, and MPN driver mutations did not impact outcomes. Thus, higher frailty scores are associated with worse OS and increased JAKi failure in MF, and is a superior indicator of fitness in comparison to age, comorbidities, and performance status.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Frailty associated urinary tract infections (FaUTIs)

This review summarizes the current literature on the correlation between frailty and urinary tract infections (UTIs), as well as the potential causes and measures that can be taken to prevent and treat these frailty associated UTIs (FaUTIs). A narrative review of the literature was carried out using the keywords and other associated terms (catheter associated UTIs and frailty, causes of UTIs, prevention of UTIs in the frail, treatment of UTIs in the frail). As it is shown in the literature, many risk factors that are associated with frailty such as dehydration, reduced mobility and cognitive impairment, as well as other anatomical or functional abnormalities can make frail patients prone to UTIs that are also more difficult to treat. Early correction of these risk factors (for example avoiding long term catheters, increasing hydration, treating lower urinary tract obstruction or incontinence), can prevent UTIs and improve the quality of life of frail patients. Prompt and individualized antimicrobial treatment of UTIs in the frail population can result in decreasing mortality rates but also minimize unnecessary antimicrobial drug use.

Course of frailty stratified by physical and mental multimorbidity patterns: a 5-year follow-up of 92,640 participants of the LifeLines cohort study

BACKGROUND

The frailty index (FI) is a well-recognized measurement for risk stratification in older people. Among middle-aged and older people, we examined the prospective association between the FI and mortality as well as its course over time in relation to multimorbidity and specific disease clusters.

METHODS

A frailty index (FI) was constructed based on either 64 (baseline only) or 35 health deficits (baseline and follow-up) among people aged ≥ 40 years who participated in LifeLines, a prospective population-based cohort living in the Northern Netherlands. Among 92,640 participants, multivariable Cox proportional hazard models were fitted to study the hazard ratio (HR) of the FI at baseline, as well as for 10 chronic disease clusters for all-cause mortality over a 10-year follow-up. Among 55,426 participants, linear regression analyses were applied to study the impact of multimorbidity and of specific chronic disease clusters (independent variables) on the change of frailty over a 5-year follow-up, adjusted for demographic and lifestyle characteristics.

RESULTS

The FI predicted mortality independent of multimorbidity and specific disease clusters, with the highest impact in people with either endocrine, lung, or heart diseases. Adjusted for demographic and lifestyle characteristics, all chronic disease clusters remained independently associated with an accelerated increase of frailty over time.

CONCLUSIONS

Frailty may be seen as a final common pathway for premature death due to chronic diseases. Our results suggest that initiating frailty prevention at middle age, when the first chronic diseases emerge, might be relevant from a public health perspective.

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.

Preoperative Evaluation of the Frail Patient

Perioperative management of older adults is a complex field that is heavily influenced by the clinical heterogeneity of older adults. Frailty-a geriatric syndrome in which a patient is more vulnerable to stressors due to decreases in physical function and reserve-has been indicative of adverse postoperative outcomes. Many tools have been developed to measure frailty that incorporate a variety of factors including physical and cognitive function, comorbidities, self-reported measures of health, and clinical judgment. Most of these frailty assessment tools are able to identify a subset of patients at risk of adverse outcomes including postoperative complications, longer hospital length of stay, discharge to a higher level of care, and mortality. Frailty assessment before surgical interventions can also guide discussions among patients, their families, anesthesiologists, and surgeons to tailor operative plans for patients to mitigate this increased risk. Studies are ongoing to identify interventions in frail patients that can improve postoperative outcomes, but high-quality data in the form of randomized controlled trials are lacking at this time.

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

BACKGROUND

Frailty is associated with adverse postoperative outcomes, but it remains unclear which measure of frailty is best. This study compared two approaches: the Modified Frailty Index, which is a deficit accumulation model (number of accumulated deficits), and the Hopkins Frailty Score, which is a phenotype model (consisting of shrinking, weakness, exhaustion, slowness, and low physical activity). The primary aim was to compare the ability of each frailty score to predict prolonged hospitalization. Secondarily, the ability of each score to predict 30-day readmission and/or postoperative complications was compared.

METHODS

This study prospectively enrolled adults presenting for preanesthesia evaluation before elective noncardiac surgery. The Hopkins Frailty Score and Modified Frailty Index were both determined. The ability of each frailty score to predict the primary outcome (prolonged hospitalization) was compared using a ratio of root-mean-square prediction errors from linear regression models. The ability of each score to predict the secondary outcome (readmission and complications) was compared using ratio of root-mean-square prediction errors from logistic regression models.

RESULTS

The study included 1,042 patients. The frailty rates were 23% (Modified Frailty Index of 4 or higher) and 18% (Hopkins Frailty Score of 3 or higher). In total, 12.9% patients were readmitted or had postoperative complications. The error of the Modified Frailty Index and Hopkins Frailty Score in predicting the primary outcome was 2.5 (95% CI, 2.2, 2.9) and 2.6 (95% CI, 2.2, 3.0) days, respectively, and their ratio was 1.0 (95% CI, 1.0, 1.0), indicating similarly poor prediction. Similarly, the error of respective frailty scores in predicting the probability of secondary outcome was high, specifically 0.3 (95% CI, 0.3, 0.4) and 0.3 (95% CI, 0.3, 0.4), and their ratio was 1.00 (95% CI, 1.0, 1.0).

CONCLUSIONS

The Modified Frailty Index and Hopkins Frailty Score were similarly poor predictors of perioperative risk. Further studies, with different frailty screening tools, are needed to identify the best method to measure perioperative frailty.

Association of Preoperative Patient Frailty and Operative Stress With Postoperative Mortality

Importance

Patients with frailty have higher risk for postoperative mortality and complications; however, most research has focused on small groups of high-risk procedures. The associations among frailty, operative stress, and mortality are poorly understood.

Objective

To assess the association between frailty and mortality at varying levels of operative stress as measured by the Operative Stress Score, a novel measure created for this study.

Design, Setting, and Participants

This retrospective cohort study included veterans in the Veterans Administration Surgical Quality Improvement Program from April 1, 2010, through March 31, 2014, who underwent a noncardiac surgical procedure at Veterans Health Administration Hospitals and had information available on vital status (whether the patient was alive or deceased) at 1 year postoperatively. A Delphi consensus method was used to stratify surgical procedures into 5 categories of physiologic stress.

Exposures

Frailty as measured by the Risk Analysis Index and operative stress as measured by the Operative Stress Score.

Main Outcomes and Measures

Postoperative mortality at 30, 90, and 180 days.

Results

Of 432 828 unique patients (401 453 males [92.8%]; mean (SD) age, 61.0 [12.9] years), 36 579 (8.5%) were frail and 9113 (2.1%) were very frail. The 30-day mortality rate among patients who were frail and underwent the lowest-stress surgical procedures (eg, cystoscopy) was 1.55% (95% CI, 1.20%-1.97%) and among patients with frailty who underwent the moderate-stress surgical procedures (eg, laparoscopic cholecystectomy) was 5.13% (95% CI, 4.79%-5.48%); these rates exceeded the 1% mortality rate often used to define high-risk surgery. Among patients who were very frail, 30-day mortality rates were higher after the lowest-stress surgical procedures (10.34%; 95% CI, 7.73%-13.48%) and after the moderate-stress surgical procedures (18.74%; 95% CI, 17.72%-19.80%). For patients who were frail and very frail, mortality continued to increase at 90 and 180 days, reaching 43.00% (95% CI, 41.69%-44.32%) for very frail patients at 180 days after moderate-stress surgical procedures.

Conclusions and Relevance

We developed a novel operative stress score to quantify physiologic stress for surgical procedures. Patients who were frail and very frail had high rates of postoperative mortality across all levels of the Operative Stress Score. These findings suggest that frailty screening should be applied universally because low- and moderate-stress procedures may be high risk among patients who are frail.

Preoperative Optimization and Choreographed Physiological Evaluation for Resection of Giant Abdominal Neoplasm: A Case Report

Giant ovarian cystadenoma is a rare and often late presentation. The mass effect of such tumors can lead to profound respiratory and cardiovascular compromise, predominately through inferior vena cava compression, but also restriction of normal lung function through transdiaphragmatic mass effect and, as is seen in this case, cardiac tamponade. In this article, the authors outline an expedited program of preoperative optimization and a choreographed physiological assessment strategy to functionally assess the hemodynamic consequences of a giant ovarian mucinous neoplasm, thereby informing the safe conduct of anesthesia and surgery.

Variation in center-level frailty burden and the impact of frailty on long-term survival in patients undergoing elective repair for abdominal aortic aneurysms

OBJECTIVE

Frailty is increasingly recognized as a key determinant in predicting postoperative outcomes. Centers that see more frail patients may not be captured in risk adjustment, potentially accounting for poorer outcomes in hospital comparisons. We aimed to (1) determine the effect of frailty on long-term mortality in patients undergoing elective abdominal aortic aneurysm (AAA) repair and (2) evaluate the variability in frailty burden among centers in the Vascular Quality Initiative (VQI) database.

METHODS

Patients undergoing elective open and endovascular AAA repair (2003-2017) were identified, and those with complete data on component variables of the VQI-derived Risk Analysis Index (VQI-RAI) and centers with ≥10 AAA repairs were included. VQI-RAI characteristics are sex, age, body mass index, renal failure, congestive heart failure, dyspnea, preoperative ambulation, and functional status. Frailty was defined as VQI-RAI ≥35 based on prior work in surgical patients using other quality improvement databases. This corresponds to the top 12% of patients at risk in the VQI. Center-level VQI-RAI differences were assessed by analysis of variance test. Relationships between frailty and survival were compared by Kaplan-Meier analysis and the log-rank test for open and endovascular procedures. Multivariable hierarchical Cox proportional hazards regression models were calculated with random intercepts for center, controlling for frailty, race, insurance, AAA diameter, procedure type, AAA case mix, and year.

RESULTS

A total of 15,803 patients from 185 centers were included. Mean VQI-RAI scores were 27.6 (standard deviation, 5.9; range, 4-56) and varied significantly across centers (F = 2.41, P < .001). The percentage of frail patients per center ranged from 0% to 40.0%. In multivariable analysis, frailty was independently associated with long-term mortality (hazard ratio, 2.88; 95% confidence interval, 2.6-3.2) after accounting for covariates and center-level variance. Open AAA repair was not associated with long-term mortality after adjusting for frailty (hazard ratio, 0.98; 95% confidence interval, 0.86-1.13). There was a statistically significant difference in the percentage of frail patients compared with nonfrail patients who were discharged to a rehabilitation facility or nursing home after both open (40.5% vs 17.8%; P < .0001) and endovascular repair (17.7% vs 4.6%; P < .0001).

CONCLUSIONS

There is considerable variability of preoperative frailty among VQI centers performing elective AAA repair. Adjusting for center-level variation, frailty but not procedure type had a significant association with long-term mortality; however, frailty and procedure type were both associated with nonhome discharge. Routine measurement of frailty preoperatively by centers to identify high-risk patients may help mitigate procedural and long-term outcomes and improve shared decision-making regarding AAA repair.

Preoperative frailty and its association with postsurgical pain in an older patient cohort

BACKGROUND AND OBJECTIVES

Chronic postsurgical pain in patients over 65 negatively impacts recovery, quality of life and physical functioning. In the community setting, chronic pain has been shown to be related to frailty, a syndrome more commonly seen in older adults and characterized by limited physiologic reserve and ability to withstand stressors. While frailty is an important preoperative risk factor for poor surgical outcomes in older adults, the relationship between frailty and postsurgical pain in this population has not been investigated. We hypothesized that preoperative frailty would be associated with greater odds of postsurgical chronic pain.

METHODS

We conducted a prospective cohort study of 116 patients older than 65 years old who underwent major elective non-cardiac surgery. Patients were assessed for frailty within 30 days prior to surgery using the FRAIL Scale assessment and pain was evaluated before surgery and at 3 months after surgery using the Geriatric Pain Measure.

RESULTS

After adjusting for baseline characteristics, we found that frail patients were almost five times more likely to have intrusive postsurgical pain compared with patients who were not frail (OR 4.73, 95% CI 1.24 to 18.09). Intrusive preoperative pain and spine surgery were also associated with increased postsurgical pain (OR 10.13, 95% CI 2.81 to 36.57 and OR 4.02, 95% CI 1.22 to 13.17, respectively).

CONCLUSION

Although future studies are needed to establish a causal relationship between preoperative frailty and postsurgical pain, our findings suggest that older patients should have preoperative frailty assessments and frail older adults may need additional resources to improve postsurgical pain outcomes.

TRIAL REGISTRATION NUMBER

NCT02650687.

Frailty and Exercise Training: How to Provide Best Care after Cardiac Surgery or Intervention for Elder Patients with Valvular Heart Disease

The aim of this literature review was to evaluate existing evidence on exercise-based cardiac rehabilitation (CR) as a treatment option for elderly frail patients with valvular heart disease (VHD). Pubmed database was searched for articles between 1980 and January 2018. From 2623 articles screened, 61 on frailty and VHD and 12 on exercise-based training for patients with VHD were included in the analysis. We studied and described frailty assessment in this patient population. Studies reporting results of exercise training in patients after surgical/interventional VHD treatment were analyzed regarding contents and outcomes. The tools for frailty assessment included fried phenotype frailty index and its modifications, multidimensional geriatric assessment, clinical frailty scale, 5-meter walking test, serum albumin levels, and Katz index of activities of daily living. Frailty assessment in CR settings should be based on functional, objective tests and should have similar components as tools for risk assessment (mobility, muscle mass and strength, independence in daily living, cognitive functions, nutrition, and anxiety and depression evaluation). Participating in comprehensive exercise-based CR could improve short- and long-term outcomes (better quality of life, physical and functional capacity) in frail VHD patients. Such CR program should be led by cardiologist, and its content should include (1) exercise training (endurance and strength training to improve muscle mass, strength, balance, and coordination), (2) nutrition counseling, (3) occupational therapy (to improve independency and cognitive function), (4) psychological counseling to ensure psychosocial health, and (5) social worker counseling (to improve independency). Comprehensive CR could help to prevent, restore, and reduce the severity of frailty as well as to improve outcomes for frail VHD patients after surgery or intervention.

Transcatheter Aortic Valve Replacements: Current Trends and Future Directions

Since the 1960s when the first aortic surgical aortic valve replacement (SAVR) was performed, continuous growth in the field of valvular technology has occurred. Although SAVR remains a lifesaving procedure, minimally invasive transcatheter aortic valve replacement has revolutionized and expanded aortic valve replacement to patients who were not previously SAVR candidates, increasing their quality of life and survival. Since its introduction in the United States in 2011, the technology and practice have rapidly expanded. Hybrid techniques have been developed that combine surgical access to the vasculature with valvular deployment over transcatheter systems. This literature review aims to describe the differences between the current available valve technologies, review approaches to surgical technique, discuss anesthetic considerations, and look forward to future directions, trends, and challenges.

The Role of Neuroinflammation in Postoperative Cognitive Dysfunction: Moving From Hypothesis to Treatment

Postoperative cognitive dysfunction (POCD) is a common complication of the surgical experience and is common in the elderly and patients with preexisting neurocognitive disorders. Animal and human studies suggest that neuroinflammation from either surgery or anesthesia is a major contributor to the development of POCD. Moreover, a large and growing body of literature has focused on identifying potential risk factors for the development of POCD, as well as identifying candidate treatments based on the neuroinflammatory hypothesis. However, variability in animal models and clinical cohorts makes it difficult to interpret the results of such studies, and represents a barrier for the development of treatment options for POCD. Here, we present a broad topical review of the literature supporting the role of neuroinflammation in POCD. We provide an overview of the cellular and molecular mechanisms underlying the pathogenesis of POCD from pre-clinical and human studies. We offer a brief discussion of the ongoing debate on the root cause of POCD. We conclude with a list of current and hypothesized treatments for POCD, with a focus on recent and current human randomized clinical trials.