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

Comparison of frailty measures in predicting outcomes after emergency general surgery

INTRODUCTION

Although frailty has been recognized to adversely influence outcomes of emergency general surgery, there are limited data comparing the performance of frailty instruments among this population. We compared the discriminatory power of 4 risk prediction models across a national cohort of patients who underwent emergency general surgery to assess outcomes of interest.

METHODS

Adults undergoing emergency general surgery (large bowel resection, small bowel resection, repair of perforated ulcer, cholecystectomy, appendectomy, lysis of adhesions, or laparotomy) were identified in 2016-2021 Nationwide Readmissions Database. Patients were grouped into frail and non-frail cohorts on the basis of various frailty instruments: Hospital Frailty Risk Score, Modified 5-factor Frailty Index, Modified 11-factor Frailty Index, and Johns Hopkins Adjusted Clinical Groups index. Multivariable regressions were developed to assess independent associations between frailty instruments and in-hospital mortality as well as a composite of perioperative complications.

RESULTS

Of 1,385,505 hospitalizations for emergency general surgery, 57.0%, 29.9%, 26.6%, and 10.5% were identified as frail by mFI-11, Hospital Frailty Risk Score, Modified 5-factor Frailty Index, and Adjusted Clinical Groups, respectively. After multivariable adjustment, Hospital Frailty Risk Score demonstrated the greatest discriminatory power for predicting in-hospital mortality and perioperative complications when compared with other frailty indices. Subjects classified as frail using the Hospital Frailty Risk Score were associated with the greatest risk of mortality (adjusted odds ratio, 7.8; 95% confidence interval, 7.4-8.3) and composite complications (adjusted odds ratio, 8.4; 95% confidence interval, 9.3-8.5) compared with other indices across all frailty levels.

CONCLUSION

Among patients undergoing emergency general surgery, Hospital Frailty Risk Score demonstrated the greatest discrimination in predicting mortality and composite complications. Risk-stratification efforts should prioritize Hospital Frailty Risk Score in elderly patients undergoing emergency general surgery to optimize clinical outcomes and resource allocation.

The Geriatric Patient: Frailty, Prehabilitation, and Postoperative Delirium

Historically and for ease of classification, the geriatric patient has received a chronologic definition of a person 65 years and older. Chronologic age remains an independent risk of postoperative complications and adverse surgical outcomes. Frailty is an expression of an individual's biological age and as such a more reliable determination of their vulnerabilities or resilience to stress. The concept of prehabilitation has shown promise as a proactive approach to optimize a patient's functional, cognitive, nutritional, and emotional in preparation for surgical interventions. Postoperative delirium is the most common neuropsychological complication after surgery.

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSION

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

Pre-Interventional Risk Assessment in The Elderly (PIRATE): Development of a scoring system to predict 30-day mortality using data of the Peri-Interventional Outcome Study in the Elderly

Risk assessment before interventions in elderly patients becomes more and more vital due to an increasing number of elderly patients requiring surgery. Existing risk scores are often not tailored to marginalized groups such as patients aged 80 years or older. We aimed to develop an easy-to-use and readily applicable risk assessment tool that implements pre-interventional predictors of 30-day mortality in elderly patients (≥80 years) undergoing interventions under anesthesia. Using Cox regression analysis, we compared different sets of predictors by taking into account their ease of availability and by evaluating predictive accuracy. Coefficient estimates were utilized to set up a scoring system that was internally validated. Model building and evaluation were based on data from the Peri-Interventional Outcome Study in the Elderly (POSE), which was conducted as a European multicenter, observational prospective cohort study. Our risk assessment tool, named PIRATE, contains three predictors assessable at admission (urgency, severity and living conditions). Discriminatory power, as measured by the concordance index, was 0.75. The estimated prediction error, as measured by the Brier score, was 0.036 (covariate-free reference model: 0.043). PIRATE is an easy-to-use risk assessment tool that helps stratifying elderly patients undergoing interventions with anesthesia at increased risk of mortality. PIRATE is readily available and applies to a wide variety of settings. In particular, it covers patients needing elective or emergency surgery and undergoing in-hospital or day-case surgery. Also, it applies to all types of interventions, from minor to major. It may serve as a basis for multidisciplinary and informed shared decision-making.

Impact of frailty on the outcomes of patients undergoing degenerative spine surgery: a systematic review and meta-analysis

BACKGROUND

Degenerative spinal diseases are common in older adults with concurrent frailty. Preoperative frailty is a strong predictor of adverse clinical outcomes after surgery. This study aimed to investigate the association between health-related outcomes and frailty in patients undergoing spine surgery for degenerative spine diseases.

METHODS

A systematic review and meta-analysis were performed by electronically searching Ovid-MEDLINE, Ovid-Embase, Cochrane Library, and CINAHL for eligible studies until July 16, 2022. We reviewed all studies, excluding spinal tumours, non-surgical procedures, and experimental studies that examined the association between preoperative frailty and related outcomes after spine surgery. A total of 1,075 articles were identified in the initial search and were reviewed by two reviewers, independently. Data were subjected to qualitative and quantitative syntheses by meta-analytic methods.

RESULTS

Thirty-eight articles on 474,651 patients who underwent degenerative spine surgeries were included and 17 papers were quantitatively synthesized. The health-related outcomes were divided into clinical outcomes and patient-reported outcomes; clinical outcomes were further divided into postoperative complications and supportive management procedures. Compared to the non-frail group, the frail group was significantly associated with a greater risk of high mortality, major complications, acute renal failure, myocardial infarction, non-home discharge, reintubation, and longer length of hospital stay. Regarding patient-reported outcomes, changes in scores between the preoperative and postoperative Oswestry Disability Index scores were not associated with preoperative frailty.

CONCLUSIONS

In degenerative spinal diseases, frailty is a strong predictor of adverse clinical outcomes after spine surgery. The relationship between preoperative frailty and patient-reported outcomes is still inconclusive. Further research is needed to consolidate the evidence from patient-reported outcomes.

Measuring the Predictive Accuracy of Preoperative Clinical Frailty Instruments Applied to Electronic Health Data in Older Patients Having Emergency General Surgery: A Retrospective Cohort Study

OBJECTIVE

To compare predictive accuracy of frailty instruments operationalizable in electronic data for prognosticating outcomes among older adults undergoing emergency general surgery (EGS).

BACKGROUND

Older patients undergoing EGS are at higher risk of perioperative morbidity and mortality. Preoperative frailty is a common and strong perioperative risk factor in this population. Despite this, existing barriers preclude routine preoperative frailty assessment.

METHODS

We conducted a retrospective cohort study of adults above 65 undergoing EGS from 2012 to 2018 using Institute for Clinical Evaluative Sciences (ICES) provincial healthcare data in Ontario, Canada. We compared 4 frailty instruments: Frailty Index (FI), Hospital Frailty Risk Score (HFRS), Risk Analysis Index-Administrative (RAI), ACG Frailty-defining diagnoses indicator (ACG). We compared predictive accuracy beyond baseline risk models (age, sex, American Society of Anesthesiologists' score, procedural risk). Predictive performance was measured using discrimination, calibration, explained variance, net reclassification index and Brier score (binary outcomes); using explained variance, root mean squared error and mean absolute prediction error (continuous outcomes). Primary outcome was 30-day mortality. Secondary outcomes were 365-day mortality, nonhome discharge, days alive at home, length of stay, and 30-day and 365-day health systems cost.

RESULTS

A total of 121,095 EGS patients met inclusion criteria. Of these, 11,422 (9.4%) experienced death 30 days postoperatively. Addition of FI, HFRS, and RAI to the baseline model led to improved discrimination, net reclassification index, and R2 ; RAI demonstrated the largest improvements.

CONCLUSIONS

Adding 4 frailty instruments to typically assessed preoperative risk factors demonstrated strong predictive performance in accurately prognosticating perioperative outcomes. These findings can be considered in developing automated risk stratification systems among older EGS patients.

A systematic review of perioperative clinical practice guidelines for care of older adults living with frailty

BACKGROUND

Perioperative frailty is prevalent and requires complex management, which could be guided by clinical practice guidelines (CPGs). The objective of this systematic review was to identify and synthesise CPGs that provide perioperative recommendations specific to older adults living with frailty.

METHODS

After protocol registration, we performed a systematic review of CPGs. MEDLINE, Embase, CINAHL, and 14 grey literature databases were searched (January 1, 2000 until December 22, 2021). We included all CPGs that contained at least one frailty-specific recommendation related to any phase of the perioperative period. We compiled all relevant recommendations, extracted underlying strength of evidence, and categorised them by perioperative phase of care. Within each phase, recommendations were synthesised inductively into themes. Quality of CPGs was assessed using the Appraisal of Guidelines for Research and Evaluation (AGREE) II instrument.

RESULTS

From 4707 citations, 13 guidelines were included; 8/13 were focused on the perioperative care of older surgical patients in general. Among 110 recommendations extracted, 37 themes were generated, with the majority pertaining to preoperative care. Four themes were supported by strong evidence: performing preoperative frailty assessments, using multidimensional frailty instruments, reducing urinary catheter use, and following multidisciplinary care and communication throughout the perioperative period. Per AGREE II, most guidelines (8/13; 62%) were recommended for use with modifications.

CONCLUSIONS

Despite increasing numbers of patients living with frailty, few guidelines exist that address frailty-specific perioperative care. Given the lack of strong evidence-based recommendations, particularly outside the preoperative period, high-quality primary research is required to underpin future guidelines and better inform the care of older surgical patients with frailty.

SYSTEMATIC REVIEW PROTOCOL

PROSPERO CRD42022320149.

Performance of administrative database frailty instruments in predicting clinical outcomes and cost for patients undergoing transcatheter aortic valve implantation: a historical cohort study

PURPOSE

Frailty instruments may improve prognostic estimates for patients undergoing transcatheter aortic valve implantation (TAVI). Few studies have evaluated and compared the performance of administrative database frailty instruments for patients undergoing TAVI. This study aimed to examine the performance of administrative database frailty instruments in predicting clinical outcomes and costs in patients who underwent TAVI.

METHODS

We conducted a historical cohort study of 3,848 patients aged 66 yr or older who underwent a TAVI procedure in Ontario, Canada from 1 April 2012 to 31 March 2018. We used the Johns Hopkins Adjusted Clinical Group (ACG) frailty indicator and the Hospital Frailty Risk Score (HFRS) to assign frailty status. Outcomes of interest were in-hospital mortality, one-year mortality, rehospitalization, and healthcare costs. We compared the performance of the two frailty instruments with that of a reference model that adjusted baseline covariates and procedural characteristics. Accuracy measures included c-statistics, Akaike information criterion (AIC), Bayesian information criterion (BIC), integrated discrimination improvement (IDI), net reclassification index (NRI), bias, and accuracy of cost estimates.

RESULTS

A total of 863 patients (22.4%) were identified as frail using the Johns Hopkins ACG frailty indicator and 865 (22.5%) were identified as frail using the HFRS. Although agreement between the frailty instruments was fair (Kappa statistic = 0.322), each instrument classified different subgroups as frail. Both the Johns Hopkins ACG frailty indicator (rate ratio [RR], 1.13; 95% confidence interval [CI], 1.06 to 1.20) and the HFRS (RR, 1.14; 95% CI, 1.07 to 1.21) were significantly associated with increased one-year costs. Compared with the reference model, both the Johns Hopkins ACG frailty indicator and HFRS significantly improved NRI for one-year mortality (Johns Hopkins ACG frailty indicator: NRI, 0.160; P < 0.001; HFRS: NRI, 0.146; P = 0.001) and rehospitalization (Johns Hopkins ACG frailty indicator: NRI, 0.201; P < 0.001; HFRS: NRI, 0.141; P = 0.001). These improvements in NRI largely resulted from classification improvement among those who did not experience the event. With one-year mortality, there was a significant improvement in IDI (IDI, 0.003; P < 0.001) with the Johns Hopkins ACG frailty indicator. This improvement in performance resulted from an increase in the mean probability of the event among those with the event.

CONCLUSION

Preoperative frailty assessment may add some predictive value for TAVI outcomes. Use of administrative database frailty instruments may provide small but significant improvements in case-mix adjustment when profiling hospitals for certain outcomes.

Identifying barriers and facilitators to routine preoperative frailty assessment: a qualitative interview study

PURPOSE

Preoperative frailty assessment is recommended by multiple practice guidelines and may improve outcomes, but it is not routinely performed. The barriers and facilitators of routine preoperative frailty assessment have not been formally assessed. Our objective was to perform a theory-guided evaluation of barriers and facilitators to preoperative frailty assessment.

METHODS

This was a research ethics board-approved qualitative study involving physicians who perform preoperative assessment (consultant and resident anesthesiologists and consultant surgeons). Semistructured interviews were conducted by a trained research assistant informed by the Theoretical Domains Framework to identify barriers and facilitators to frailty assessment. Interview transcripts were independently coded by two research assistants to identify specific beliefs relevant to each theoretical domain.

RESULTS

We interviewed 28 clinicians (nine consultant anesthesiologists, nine consultant surgeons, and ten anesthesiology residents). Six domains (Knowledge [100%], Social Influences [96%], Social Professional Role and Identity [96%], Beliefs about Capabilities [93%], Goals [93%], and Intentions [93%]) were identified by > 90% of respondents. The most common barriers identified were prioritization of other aspects of assessment (e.g., cardio/respiratory) and a lack of awareness of evidence and guidelines supporting frailty assessment. The most common facilitators were a high degree of familiarity with frailty, recognition of the importance of frailty assessment, and strong intentions to perform frailty assessment.

CONCLUSION

Barriers and facilitators to preoperative frailty assessment are multidimensional, but generally consistent across different types of perioperative physicians. Knowledge of barriers and facilitators can guide development of evidence-based strategies to increase frailty assessment.

Frailty and emergency surgery: identification and evidence-based care for vulnerable older adults

Frailty is a multidimensional state related to accumulation of age- and disease-related deficits across multiple domains. Older people represent the fastest growing segment of the peri-operative population, and 25-50% of older surgical patients live with frailty. When frailty is present before surgery, adjusted rates of morbidity and mortality increase at least two-fold; the odds of delirium and loss of independence are increased more than four- and five-fold, respectively. Care of the older person with frailty presenting for emergency surgery requires individualised and evidence-based care given the high-risk and complex nature of their presentations. Before surgery, frailty should be assessed using a multidimensional frailty instrument (most likely the Clinical Frailty Scale), and all members of the peri-operative team should be aware of each patient's frailty status. When frailty is present, pre-operative care should focus on documenting and communicating individualised risk, considering advanced care directives and engaging shared decision-making when feasible. Shared multidisciplinary care should be initiated. Peri-operatively, analgesia that avoids polypharmacy should be provided, along with delirium prevention strategies and consideration of postoperative care in a monitored environment. After the acute surgical episode, transition out of hospital requires that adequate support be in place, along with clear discharge instructions, and review of new and existing prescription medications. Advanced care directives should be reviewed or initiated in case of readmission. Overall, substantial knowledge gaps about the optimal peri-operative care of older people with frailty must be addressed through robust, patient-oriented research.

Association of frailty with days alive at home in critically ill patients undergoing emergency general surgery: a population-based cohort study

BACKGROUND

Frailty is an established risk factor for morbidity and mortality in older patients undergoing surgery. In people with critical illness before surgery, few data describe patient-centred outcomes. Our objective was to estimate the association of frailty with postoperative days alive at home in older critically ill patients requiring emergency general surgery.

METHODS

A retrospective population-based cohort study was conducted using linked administrative health data in Ontario, Canada from 2009 to 2019. All individuals aged ≥66 yr with an ICU admission before emergency general surgery were included. We compared the count of days alive at home at 30 and 365 days after surgery based on frailty status using a validated, multidimensional index. Unadjusted and multilevel, multivariable adjusted effect estimates were calculated. A sensitivity analysis based on early recovery category was performed.

RESULTS

We identified 7003 eligible patients; 2063 (29.5%) lived with frailty. At 30 days, mean days alive at home with frailty were 4.5 (standard deviation 8.2) and 7.6 (standard deviation 10.2) in those without frailty. In adjusted analysis, frailty was associated with fewer days alive at home at 30 (ratio of means [RoM] 0.68; 95% confidence interval [CI]: 0.60-0.78; P<0.001) and 365 days (RoM 0.72; 95% CI: 0.64-0.82; P<0.001). Individuals with frailty had a higher probability of poor recovery status, with effects increasing across the first postoperative month.

CONCLUSIONS

In patients with critical illness requiring emergency general surgery, frailty is associated with fewer days alive at home. This information should be discussed with critically ill patients before emergent surgical intervention to better inform decision-making.

Comparing the predictive accuracy of frailty instruments applied to preoperative electronic health data for adults undergoing noncardiac surgery

BACKGROUND

Preoperative frailty is associated with increased risk of postoperative mortality and complications. Routine preoperative frailty assessment is underperformed. Automation of preoperative frailty assessment using electronic health data could improve adherence to guideline-based care if an accurate instrument is identified.

METHODS

We conducted a retrospective cohort study of adults >65 yr undergoing elective noncardiac surgery between 2012 and 2018. Four frailty instruments were compared: Frailty Index, Hospital Frailty Risk Score, Risk Analysis Index-Administrative, and Adjusted Clinical Groups frailty-defining diagnoses indicator. We compared the predictive performance of each instrument added to a baseline model (age, sex, ASA physical status, and procedural risk) using discrimination, calibration, explained variance, net reclassification, and Brier score (binary outcomes); and explained variance, root mean squared error, and mean absolute prediction error (continuous outcomes). Primary outcome was 30-day mortality. Secondary outcomes included 365-day mortality, length of stay, non-home discharge, days alive at home, and 365-day costs.

RESULTS

For this study, 171 576 patients met the inclusion criteria; 1370 (0.8%) died within 30 days. Compared with the baseline model predicting 30-day mortality (area under the curve [AUC] 0.85; R² 0.08), the addition of Hospital Frailty Risk Score led to the greatest improvement in discrimination (AUC 0.87), explained variance (R² 0.09), and net reclassification (Net Reclassification Index 0.65). Brier and calibration scores were comparable.

CONCLUSIONS

All four frailty instruments significantly improved discrimination and risk reclassification when added to typically assessed preoperative risk factors. Accurate identification of the presence or absence of preoperative frailty using electronic frailty instruments may improve perioperative risk stratification. Future research should evaluate the impact of automated frailty assessment in guiding surgical planning and patient-centred optimisation amongst older surgical patients.

Frailty and cardiac surgery: to operate or not?

PURPOSE OF REVIEW

With an aging cardiac surgery population, prefrail and frail patients are becoming more common. Anesthesiologists will be faced with the decision of how best to provide care to frail patients. Identification, management, and outcomes in frail patients will be discussed in this review.

RECENT FINDINGS

Frailty is associated with a variety of poor outcomes, such as increased hospital length of stay, medical resource utilization, readmission rates, and mortality. Prehabilitation may play a greater role in the management of frail cardiac surgery patients.

SUMMARY

As frailty will likely only increase amongst cardiac surgery patients, it is important to develop multicenter trials to study management and treatment options. Until those studies are performed, the care of frail cardiac surgery patients may be best provided by high-volume surgical centers with expertise in the management of frail patients.