Frailty Assessment and Perioperative Major Adverse Cardiovascular Events After Noncardiac Surgery

Pre-operative subjective functional capacity and postoperative outcomes in adult non-cardiac surgery: a systematic review and meta-analysis

INTRODUCTION

Assessment of functional capacity is an essential part of peri-operative risk stratification. Subjective functional capacity is easier to examine than objective tests of patient fitness. However, the association between subjective functional capacity and postoperative outcomes has not been established.

METHODS

Four databases were searched for studies describing the associations between subjective functional capacity and postoperative outcomes in adults undergoing non-cardiac surgery. Meta-analysis was conducted among studies where functional capacity was expressed in metabolic equivalents. The primary outcome was postoperative major adverse cardiovascular events. Secondary outcomes were mortality and postoperative overall complications. We estimated the ORs of the outcomes in patients with poor functional capacity (< 4 metabolic equivalents) as compared with those with good functional capacity (≥ 4 metabolic equivalents). Random-effects models were used for the meta-analysis.

RESULTS

We identified 7835 abstracts. After screening and a full-text review, 23 studies were selected. Evaluation methods of functional capacity included: questionnaires (n = 7); specific questions (n = 6); and subjective assessment by anaesthetists (n = 5). The probability of major postoperative adverse cardiovascular events was significantly higher in patients with poor functional capacity (OR 1.84, 95%CI 1.62-2.08) than in those with good functional capacity. Patients with poor functional capacity also had higher odds of mortality (OR 2.48, 95%CI 1.45-4.25) and postoperative complications (OR 1.85, 95%CI 1.34-2.55).

DISCUSSION

Subjective functional capacity of < 4 metabolic equivalents was associated with postoperative complications including cardiovascular events and other serious outcomes. The results need to be interpreted with caution due to the diverse measures used to assess functional capacity.

Cardiac Troponin as a Prognostic Indicator for Major Adverse Cardiac Events in Non-Cardiac Surgery: A Narrative Review

A major adverse cardiac event (MACE) following non-cardiac surgery encompasses critical postoperative cardiovascular complications such as myocardial infarction or injury, cardiac arrest, or stroke that are associated with increased perioperative morbidity, mortality, and healthcare resource utilisation. Cardiac troponin (cTn), particularly high-sensitivity cardiac troponin (hs-cTn), has emerged as a key biomarker for prediction of MACE. Despite its recognised utility, there is no consensus on how cTn levels should be used for standardised postoperative surveillance. Interpretation of the cTn levels may vary depending on sex-specific reference values and baseline comorbidities such as chronic kidney disease, sepsis, critical illness, and non-ischaemic conditions. The balance between cost-effectiveness and clinical benefit in implementing universal versus targeted postoperative hs-cTn screening remains to be fully explored. This review examines the prognostic value of cardiac troponin (cTn) levels in predicting major adverse cardiovascular events (MACEs) in patients undergoing non-cardiac surgery, with a focus on perioperative cTn elevations-particularly those associated with myocardial injury after non-cardiac surgery (MINS)-as potential early indicators of increased cardiovascular risk.

Outcomes of patients with cancer with acute coronary syndrome-associated cardiogenic shock

BACKGROUND

Cardiogenic shock (CS) is a common complication of acute coronary syndrome (ACS) and is associated with significant morbidity and mortality. Revascularization has been shown to reduce mortality in ACS-CS. Patients with cancer are at high risk of ACS and CS. However, patients with cancer are often undertreated with invasive procedures and outcomes of patients with cancer and ACS-CS have not been thoroughly characterized.

METHODS

Patients with ACS-CS from 2014 to 2020 with and without cancer were identified using the National Readmission Database (NRD). Primary outcome was death at 90-days. Secondary outcomes were 90-day cardiovascular (CV) and bleeding readmissions, and index hospitalization major bleeding and thrombotic complications. Patients with cancer were compared to patients without cancer using multivariable logistic and Cox proportional hazards regression. Temporal trends in revascularization among patients with and without cancer were examined. Effect of revascularization among patients with cancer and ACS-CS was assessed using propensity score weighting (PSW).

RESULTS

A total of 140,205 patients were identified, of whom 6118 (4.4 %) with cancer were identified. Patients with cancer were less likely to undergo percutaneous coronary intervention (45.5 % vs 53.5 %) or be managed with mechanical circulatory support (36.6 % vs 46.0 %). After multivariable logistic regression, there was no difference in primary outcome (adjusted OR 0.98, 95 % CI 0.92-1.06) but patients with cancer had higher risk of 90-day CV (HR 1.11, 95 % CI 1.01-1.22) and bleeding readmissions (HR 1.39, 95 % CI 1.10-1.76). Among patients with cancer and ACS-CS, revascularization was associated with lower primary outcome (OR 0.54, 95 % CI 0.50-0.58) and 90-day CV readmission (HR 0.68, 95 % CI 0.59-0.77) after PSW.

CONCLUSIONS

Among patients with ACS-CS, patients with cancer have similar 90-day death but higher risk of 90-day CV and bleeding readmissions. Additionally, revascularization was associated with improved outcomes among patients with cancer and ACS-CS. Further studies are needed to optimize patient selection for invasive management among patients with cancer.

Outcomes of patients with myeloproliferative neoplasms and critical limb ischemia: insights from the National readmissions database

Patients with myeloproliferative neoplasms (MPNs), including polycythemia vera (PV), essential thrombocythemia (ET), and myelofibrosis (MF), are at increased risk of atherosclerosis, including peripheral arterial disease (PAD). Critical limb ischemia (CLI) may complicate PAD and is associated with significant mortality and morbidity. Despite the increased risk of thrombosis with MPN, outcomes of CLI in MPN patients are unclear. We conducted an analysis utilizing the 2017-2020 National Readmission Database (NRD) of patients hospitalized for CLI with and without MPN. Patients with MPN were propensity score matched (PSM) with patients without MPN. Primary outcome was composite outcome of major adverse cardiovascular and limb events (MACLE). Logistic regression was utilized to estimate risk of MACLE in patients with MPN vs. without MPN. Inverse-probability treatment weighted (IPTW) analysis was performed to evaluate the effect of revascularization on MACLE in patients with MPN. A total of 102,598 patients were included, 931 (0.9%) had MPN. After PSM, MPN was associated with increased risk of MACLE (47.3% vs. 39.1%; OR 1.40, 95% CI 1.21-1.62). After IPTW, revascularization was associated with decreased risk of MACLE among patients with MPN (45.0% vs. 50.7%; OR 0.80, 95% CI 0.66-0.96). Among patients admitted with CLI, MPN was associated with increased risk of MACLE especially ET and MF phenotypes. Revascularization was associated with decreased risk of MACLE among patients with MPN. Further investigation is needed in order to improve outcomes in patients with MPN and CLI.

Hospital frailty risk score and outcomes of chronic mesenteric ischemia revascularization: Nationwide Inpatient Sample 2005-2020 analysis

Chronic mesenteric ischemia (CMI) typically affects older adults, and often requiring revascularization. Frailty, a state of decreased physiological reserve, may impact the outcomes of CMI treatment. The purpose of was to determine the impact of frailty, assessed by the Hospital Frailty Risk Score, on in-hospital outcomes after CMI revascularization. Data from the Nationwide Inpatient Sample 2005-2020, were analyzed in this retrospective study. Inclusion criteria were adults ≥20 years old who underwent revascularization for CMI. Patients were categorizing patients into low-, intermediate-, and high-frailty risk groups. Logistic regression analyses, adjusted for confounders, was used to assess associations between frailty risk and outcomes. The study included 4100 patients with a mean age of 71.2 years, of whom 71% were female. Patients in the intermediate and high frailty risk groups had significantly increased odds of in-hospital mortality (intermediate risk: adjusted odds ratio [aOR] = 3.33, 95% confidence interval [CI]: 2.07-5.35; high risk: aOR = 3.68, 95% CI: 2.15-6.31), unfavorable discharge (intermediate risk: aOR = 2.25, 95% CI: 1.83-2.77; high risk: aOR = 3.77, 95% CI: 2.91-4.88), prolonged hospital stay (intermediate risk: aOR = 2.40; high risk: aOR = 4.85), transfusions (intermediate risk: aOR = 1.97; high risk: aOR = 4.58), and overall complications (intermediate risk: aOR = 3.84; high risk: aOR = 8.74) compared to low-risk patients. Frailty is associated with worse outcomes of patients with CMI undergoing revascularization. Thus, it is important to incorporate frailty assessment in preoperative risk stratification and management of CMI revascularization.

Modified Hospital Frailty Risk Score (mHFRS) as a Tool to Identify and Predict Outcomes for Hospitalised Older Adults at Risk of Frailty

Objectives

This study aims to determine whether modified Hospital Frailty Risk Score (mHFRS) can identify frail hospitalised older adults by comparing mHFRS to HFRS and Clinical Frailty Scale (CFS).

Methods

A retrospective review was undertaken in patients =>65 years hospitalised following an Emergency Department attendance between 1st July 2022 and 31st March 2023. Predictive models were evaluated with correlation and measure of agreement between frailty risk scores, CFS and HFRS, CFS and modified HFRS (mHFRS) using the Spearman's rank correlation and Cohen's kappa (κ).

Results

Of 3042 patients, CFS categorised 1635 (53.7%) patients as non-frail (CFS 1-4) and 1407 (46.3%) as frail (CFS 5-9,p<0.001). Frail patients were more likely to be female (55.9%), older (81.8 years, SD 8.41 vs 75.3 years, SD 7.20, p<0.001), with longer LOS (52.5% % vs 31.5%, p<0.001), higher 30-day emergency re-admission (18.5% vs 9.9%, p<0.001) and higher mortality at all time points. We could compute mHFRS for 1623 (53.4%) patients, of whom, 37.5% were low risk, 40.5% intermediate risk and 22.1% high frailty risk. mHFRS showed significant correlation with CFS (p<0.001) and HFRS (p<0.001), respectively and achieved comparable association with clinical outcomes.

Conclusion

mHFRS was better at identifying non-frail patients and provides a novel, standardised and comparable frailty risk stratification tool for screening older hospitalised patients.

Risk of sarcopenia, frailty and malnutrition as predictors of postoperative delirium in surgery

BACKGROUND

The risk factors for postoperative delirium are numerous and complex. One approach to identifying patients at risk is to evaluate their nutritional status. The aim of this prospective study is to better understand nutrition as a potential risk factor for postoperative delirium.

METHODS

A comprehensive preoperative assessment (Clinical Frailty Scale (CFS), the SARC-F questionnaire, Mini Nutritional Assessment-Short Form (MNA-SF)) were carried out as a prospective clinical study on 421 patients (70+) from 4 different surgical disciplines. Postoperatively, patients are examined daily for the presence of delirium using the 4AT screening tool (Arousal, Attention, Abbreviated Mental Test - 4, Acute change), the Nursing Delirium Screening Scale (NuDesc) and the Confusion Assessment Method (CAM) with its adaptation for the intensive care unit (CAM-ICU).

RESULTS

If there were indications of frailty or sarcopenia in the CFS or SARC-F, the association with delirium was increased 5.34-fold (OR of 5.34 [95% CI: 2.57;11.1]) and 5.56-fold (OR of 5.56 [95% CI: 2.97;10.4]) respectively. Delirium also occurred significantly more frequently with the risk of malnutrition or manifest malnutrition (MNA-SF) than with a normal nutritional status.

CONCLUSIONS

Patients' preoperative and nutritional status significantly impact the risk of developing postoperative delirium. Factors such as frailty, sarcopenia and possible malnutrition must be considered when implementing an effective and targeted preoperative assessment.

TRAIL REGISTRATION

German Clinical Trials Registry at https://www.drks.de/DRKS00028614 , Registered 25 March 2022.

2024 AHA/ACC/ACS/ASNC/HRS/SCA/SCCT/SCMR/SVM Guideline for Perioperative Cardiovascular Management for Noncardiac Surgery: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines

AIM

The "2024 AHA/ACC/ACS/ASNC/HRS/SCA/SCCT/SCMR/SVM Guideline for Perioperative Cardiovascular Management for Noncardiac Surgery" provides recommendations to guide clinicians in the perioperative cardiovascular evaluation and management of adult patients undergoing noncardiac surgery.

METHODS

A comprehensive literature search was conducted from August 2022 to March 2023 to identify clinical studies, reviews, and other evidence conducted on human subjects that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, the Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline.

STRUCTURE

Recommendations from the "2014 ACC/AHA Guideline on Perioperative Cardiovascular Evaluation and Management of Patients Undergoing Noncardiac Surgery" have been updated with new evidence consolidated to guide clinicians; clinicians should be advised this guideline supersedes the previously published 2014 guideline. In addition, evidence-based management strategies, including pharmacological therapies, perioperative monitoring, and devices, for cardiovascular disease and associated medical conditions, have been developed.

2024 AHA/ACC/ACS/ASNC/HRS/SCA/SCCT/SCMR/SVM Guideline for Perioperative Cardiovascular Management for Noncardiac Surgery: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines

AIM

The "2024 AHA/ACC/ACS/ASNC/HRS/SCA/SCCT/SCMR/SVM Guideline for Perioperative Cardiovascular Management for Noncardiac Surgery" provides recommendations to guide clinicians in the perioperative cardiovascular evaluation and management of adult patients undergoing noncardiac surgery.

METHODS

A comprehensive literature search was conducted from August 2022 to March 2023 to identify clinical studies, reviews, and other evidence conducted on human subjects that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, the Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline.

STRUCTURE

Recommendations from the "2014 ACC/AHA Guideline on Perioperative Cardiovascular Evaluation and Management of Patients Undergoing Noncardiac Surgery" have been updated with new evidence consolidated to guide clinicians; clinicians should be advised this guideline supersedes the previously published 2014 guideline. In addition, evidence-based management strategies, including pharmacological therapies, perioperative monitoring, and devices, for cardiovascular disease and associated medical conditions, have been developed.

The Impact of Frailty on Patients With AF and HFrEF Undergoing Catheter Ablation: A Nationwide Population Study

Background

Frailty is a common geriatric syndrome often coexisting with cardiovascular diseases such as atrial fibrillation (AF) and heart failure (HF) with reduced ejection fraction (HFrEF). While catheter ablation (CA) has demonstrated efficacy in reducing major adverse cardiovascular events and improving mortality and quality of life, the influence of frailty among this population remains unknown.

Objectives

The authors aimed to identify the prevalence of frailty among patients with HFrEF and AF undergoing CA and its influence on cardiovascular mortality and discharge disposition.

Methods

From January 2016 to December 2019, we used the Nationwide Inpatient Sample to identify patients with AF and HFrEF. Frailty was identified by the presence of ≥1 diagnostic cluster utilizing the Johns Hopkins Adjusted Clinical Groups with malnutrition, dementia, impaired vision, decubitus ulcer, urinary incontinence, loss of weight, poverty, barriers to access to care, difficulty walking, and falls as indicators. We compared clinical outcomes among frail vs nonfrail patients, including all-cause in-hospital mortality, major adverse cardiovascular events, other major complications, discharge disposition, and hospital length of stay using multivariable regression analysis.

Results

Of 113,115 weighted admissions, 11,725 (10.4%) were classified as frail. Frail patients were older (median age: 76 [IQR: 15] years vs 70 [IQR: 15] years, P < 0.001) than nonfrail patients. Frailty was associated with increased odds of all-cause hospital mortality (adjusted odds ratio [aOR]: 2.64; 95% CI: 1.87-3.72; P < 0.001), major adverse cardiovascular events (aOR: 2.00; 95% CI: 1.62-2.47; P < 0.001), and nonhome discharge (aOR: 3.31; 95% CI: 2.78-3.94; P < 0.001). Frail patients also experienced longer hospital length of stay (median 9 [IQR: 10] days vs 5 [IQR: 5] days, P < 0.001) after adjustment by Poisson regression (coefficient: 0.53; 95% CI: 0.46-0.59; P < 0.001).

Conclusions

Frailty is associated with worse outcomes in patients with HFrEF undergoing CA for AF. The integration of frailty models in clinical practice may facilitate prognostication and risk stratification to optimize patient selection for CA.

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.

Perioperative Mortality: A Retrospective Cohort Study of 75,446 Noncardiac Surgery Patients

Objective

To evaluate whether major adverse cardiac events (MACE) continue to be a major causative factor for mortality after noncardiac surgery.

Patients and Methods

We performed retrospective study of 75,410 adult noncardiac surgery patients at Mayo Clinic Rochester, between January 1, 2016, and May 4, 2018. Electronic medical records were reviewed and data collected on all deaths within 30 days (n=692 patients) of surgery. The incidence of death due to MACE was calculated.

Results

Postoperative MACE occurred in 150 patients (21.4 events per 10,000 patients; 95% CI, 18.2-25.2 events per 10,000 patients) with most occurring within 3 days of surgery (n=113). Postoperative MACE events were associated with atrial fibrillation with rapid rate response in 25 patients (16.7%), sepsis in 15 patients (10%), and bleeding in 15 patients (10%). There were 12 intraoperative deaths of which 9 were due to exsanguination (75%) and the remaining 3 (25%) due to cardiac arrest. Of the 56 deaths on the first 24 hours after surgery, 7 were due to hemorrhage, 17 due to cardiovascular causes, 20 due to sepsis, and 7 due to neurologic disease. The leading cause of total death over 30 days postoperatively was sepsis (28%), followed by malignancy (27%), cardiovascular disease (12%) neurologic disease (12%), and hemorrhage (5%).

Conclusion

MACE was not the leading cause of death both intraoperatively and postoperatively.

Preoperative N-terminal Pro-B-type Natriuretic Peptide and High-sensitivity Cardiac Troponin T and Outcomes after Major Noncardiac Surgery: A Prospective Cohort Study

BACKGROUND

Patients undergoing noncardiac surgery have varying risk of cardiovascular complications. This study evaluated preoperative N-terminal pro-B-type natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin T to enhance cardiovascular events prediction for major noncardiac surgery.

METHODS

This prospective cohort study included adult patients with cardiovascular disease or risk factors undergoing elective major noncardiac surgery at four hospitals in China. Blood samples were collected within 30 days before surgery for NT-proBNP and high-sensitivity troponin T (hs-TnT) measurements. The primary outcome was a composite of any cardiovascular events within 30 days after surgery. Logistic regression models were used to assess associations, and the predictive performance was evaluated primarily using area under the receiver operating characteristics curve (AUC) and fraction of new predictive information.

RESULTS

Between June 2019 and September 2021, a total of 2,833 patients were included, with 435 (15.4%) experiencing the primary outcome. In the logistic regression model that included clinical variables and both biomarkers, the odds ratio for the primary outcome was 1.68 (95% CI, 1.37 to 2.07) when comparing the 75th percentile to the 25th percentile of NT-proBNP distribution, and 1.91 (95% CI, 1.50 to 2.43) for hs-TnT. Each biomarker enhanced model discrimination beyond clinical predictors, with a change in AUC of 0.028 for NT-proBNP and 0.029 for high-sensitivity cardiac troponin T, and a fraction of new information of 0.164 and 0.149, respectively. The model combining both biomarkers demonstrated the best discrimination, with a change in AUC of 0.042 and a fraction of new information of 0.219.

CONCLUSIONS

Preoperative NT-proBNP and hs-TnT both improved the prediction for cardiovascular events after noncardiac surgery in addition to clinical evaluation, with their combination providing maximal predictive information.

EDITOR’S PERSPECTIVE

Predicting perioperative myocardial injury/infarction after noncardiac surgery in patients under surgical and medical co-management: a prospective cohort study

BACKGROUND

Perioperative myocardial injury/infarction (PMI) following noncardiac surgery is a frequent cardiac complication. This study aims to evaluate PMI risk and explore preoperative assessment tools of PMI in patients at increased cardiovascular (CV) risk who underwent noncardiac surgery under the surgical and medical co-management (SMC) model.

METHODS

A prospective cohort study that included consecutive patients at increased CV risk who underwent intermediate- or high-risk noncardiac surgery at the Second Medical Center, Chinese PLA General Hospital, between January 2017 and December 2022. All patients were treated with perioperative management by the SMC team. The SMC model was initiated when surgical intervention was indicated and throughout the entire perioperative period. The incidence, risk factors, and impact of PMI on 30-day mortality were analyzed. The ability of the Revised Cardiac Risk Index (RCRI), frailty, and their combination to predict PMI was evaluated.

RESULTS

613 eligible patients (mean [standard deviation, SD] age 73.3[10.9] years, 94.6% male) were recruited consecutively. Under SMC, PMI occurred in 24/613 patients (3.9%). Patients with PMI had a higher rate of 30-day mortality than patients without PMI (29.2% vs. 0.7%, p = 0.00). The FRAIL Scale for frailty was independently associated with an increased risk for PMI (odds ratio = 5.91; 95% confidence interval [CI], 2.34-14.93; p = 0.00). The RCRI demonstrated adequate discriminatory capacity for predicting PMI (area under the curve [AUC], 0.78; 95% CI, 0.67-0.88). Combining frailty with the RCRI further increased the accuracy of predicting PMI (AUC, 0.87; 95% CI, 0.81-0.93).

CONCLUSIONS

The incidence of PMI was relatively low in high CV risk patients undergoing intermediate- or high-risk noncardiac surgery under SMC. The RCRI adequately predicted PMI. Combining frailty with the RCRI further increased the accuracy of PMI predictions, achieving excellent discriminatory capacity. These findings may aid personalized evaluation and management of high-risk patients who undergo intermediate- or high-risk noncardiac surgery.

The impact of frailty on short-term prognosis in discharged adult stroke patients: A multicenter prospective cohort study

BACKGROUND

Frailty is commonly observed in stroke patients and it is associated with adverse outcomes. However, there remains a gap in longitudinal studies investigating the causal relationship between baseline frailty and short-term prognosis in discharged adult stroke patients.

OBJECTIVE

To examine the causal impact of frailty on non-elective readmission and major adverse cardiac and cerebral events, and investigate its associations with cognitive impairment and post-stroke disability.

DESIGN

A multicenter prospective cohort study.

SETTING

Two tertiary hospitals in Central and Northwest China.

PARTICIPANTS

667 adult stroke patients in stroke units were included from January 2022 to June 2022.

METHODS

Baseline frailty was assessed by the Frailty Scale. Custom-designed questions were utilized to assess non-elective readmission and major adverse cardiac and cerebral events as primary outcomes. Cognitive impairment, assessed using the Mini-Mental State Examination Scale (MMSE), and post-stroke disability, measured with the Modified Rankin Scale (mRS), were considered secondary outcomes at a 3-month follow-up. The impact of baseline frailty on non-elective readmission and major adverse cardiac and cerebral events was examined using bivariate and multiple Cox regression analyses. Furthermore, associations between baseline frailty and cognitive impairment, or post-stroke disability, were investigated through generalized linear models.

RESULTS

A total of 5 participants died, 12 had major adverse cardiac and cerebral events, and 57 had non-selective readmission among 667 adult stroke patients. Frailty was an independent risk factor for non-selective readmission (hazard ratio [HR]: 2.71, 95 % confidence interval [CI]: 1.59, 4.62) and major adverse cardiac and cerebral events (HR: 3.77, 95 % CI: 1.07, 13.22) for stroke patients. Baseline frailty was correlated with cognitive impairment (regression coefficient [β]: -2.68, 95 % CI: -3.78, -1.58) adjusting for socio-demographic and clinical factors and follow-up interval. However, the relationship between frailty and cognitive impairment did not reach statistical significance when further adjusting for baseline MMSE (β: -0.39, 95 % CI: -1.43, 0.64). Moreover, baseline frailty was associated with post-stroke disability (β: 0.36, 95 % CI: 0.08, 0.65) adjusting for socio-demographic and clinical variables, follow-up interval, and baseline mRS.

CONCLUSIONS

The finding highlights the importance of assessing baseline frailty in discharged adult stroke patients, as it is significantly associated with non-elective readmission, major adverse cardiac and cerebral events, and post-stroke disability at 3 months. These results highlight the crucial role of screening and evaluating frailty status in improving short-term prognosis for adult stroke patients. Interventions should be developed to address baseline frailty and mitigate the short-term prognosis of stroke.

TWEETABLE ABSTRACT

Baseline frailty predicts non-elective readmission, major adverse cardiac and cerebral events, and post-stroke disability in adult stroke patients. @haiyanhexyyy.

Catheter-based therapy for high-risk or intermediate-risk pulmonary embolism: death and re-hospitalization

BACKGROUND AND AIMS

Catheter-based therapies (CBTs) have been developed as a treatment option in patients with pulmonary embolism (PE). There remains a paucity of data to inform decision-making in patients with intermediate-risk or high-risk PE. The aim of this study was to characterize in-hospital and readmission outcomes in patients with intermediate-risk or high-risk PE treated with vs. without CBT in a large retrospective registry.

METHODS

Patients hospitalized with intermediate-risk or high-risk PE were identified using the 2017-20 National Readmission Database. In-hospital outcomes included death and bleeding and 30- and 90-day readmission outcomes including all-cause, venous thromboembolism (VTE)-related and bleeding-related readmissions. Inverse probability of treatment weighting (IPTW) was utilized to compare outcomes between CBT and no CBT.

RESULTS

A total of 14 903 [2076 (13.9%) with CBT] and 42 829 [8824 (20.6%) with CBT] patients with high-risk and intermediate-risk PE were included, respectively. Prior to IPTW, patients with CBT were younger and less likely to have cancer and cardiac arrest, receive systemic thrombolysis, or be on mechanical ventilation. In the IPTW logistic regression model, CBT was associated with lower odds of in-hospital death in high-risk [odds ratio (OR) 0.83, 95% confidence interval (CI) 0.80-0.87] and intermediate-risk PE (OR 0.76, 95% CI 0.70-0.83). Patients with high-risk PE treated with CBT were associated with lower risk of 90-day all-cause [hazard ratio (HR) 0.77, 95% CI 0.71-0.83] and VTE (HR 0.46, 95% CI 0.34-0.63) readmission. Patients with intermediate-risk PE treated with CBT were associated with lower risk of 90-day all-cause (HR 0.75, 95% CI 0.72-0.79) and VTE (HR 0.66, 95% CI 0.57-0.76) readmission.

CONCLUSIONS

Among patients with high-risk or intermediate-risk PE, CBT was associated with lower in-hospital death and 90-day readmission. Prospective, randomized trials are needed to confirm these findings.

Frailty-aware surgical care: Validation of Hospital Frailty Risk Score (HFRS) in older surgical patients

Introduction

Frailty has an important impact on the health outcomes of older patients, and frailty screening is recommended as part of perioperative evaluation. The Hospital Frailty Risk Score (HFRS) is a validated tool that highlights frailty risk using 109 International Classification of Diseases, 10th revision (ICD-10) codes. In this study, we aim to compare HFRS to the Charlson Comorbidity Index (CCI) and validate HFRS as a predictor of adverse outcomes in Asian patients admitted to surgical services.

Method

A retrospective study of electronic health records (EHR) was undertaken in patients aged 65 years and above who were discharged from surgical services between 1 April 2022 to 31 July 2022. Patients were stratified into low (HFRS <5), interme-diate (HFRS 5-15) and high (HFRS >15) risk of frailty.

Results

Those at high risk of frailty were older and more likely to be men. They were also likely to have more comorbidities and a higher CCI than those at low risk of frailty. High HFRS scores were associated with an increased risk of adverse outcomes, such as mortality, hospital length of stay (LOS) and 30-day readmission. When used in combination with CCI, there was better prediction of mortality at 90 and 270 days, and 30-day readmission.

Conclusion

To our knowledge, this is the first validation of HFRS in Singapore in surgical patients and confirms that high-risk HFRS predicts long LOS (≥7days), increased unplanned hospital readmissions (both 30-day and 270-day) and increased mortality (inpatient, 10-day, 30-day, 90-day, 270-day) compared with those at low risk of frailty.

Development and Internal Validation of a Nomogram for Predicting Postoperative Cardiac Events in Elderly Hip Fracture Patients

Purpose

Postoperative cardiac events (PCEs) are among the main adverse events after hip fracture surgery in the elderly. Existing cardiac risk assessment tools have some limitations and are not specifically designed for elderly patients undergoing hip fracture surgery. This study aimed to develop and internally validate a nomogram for prediction of PCEs in these patients.

Patients and Methods

We performed a retrospective study of 992 patients aged ≥65 years undergoing hip fracture surgery in our hospital from July 2015 to December 2021. Patients' demographics and clinical data were collected. Least Absolute Shrinkage and Selection Operator (LASSO) regression was used to select predictors, and multivariate logistic regression was employed to construct a nomogram. Internal validation was performed by bootstrapping. The discriminatory ability of the model was determined by the area under the receiver operating characteristic curve (AUC). The calibration and clinical utility of the model were assessed. The predictive power and clinical benefit of the nomogram were compared with the Revised Cardiac Risk Index (RCRI).

Results

The nomogram was constructed including seven variables: general anesthesia, the American Society of Anesthesiologists (ASA) classification, history of heart failure, history of severe arrhythmia, history of coronary artery disease, preoperative platelet count, and serum creatinine. The nomogram had an excellent predictive ability (AUC = 0.875, 95% confidence interval [CI]: 0.828-0.918). Satisfactory calibration was shown by calibration plots and the Hosmer-Lemeshow goodness-of-fit test (P = 0.520). Clinical usefulness was confirmed by decision curve analysis and clinical impact curve. The predictive power and clinical utility of the nomogram were superior to RCRI.

Conclusion

We developed an easy-to-use nomogram for prediction of PCEs in elderly hip fracture patients. This prediction model could effectively identify patients at high risk of PCEs and may be useful for perioperative management optimization.

The frail patient undergoing cardiac surgery: lessons learned and future perspectives

Frailty is a geriatric condition characterized by the reduction of the individual's homeostatic reserves. It determines an increased vulnerability to endogenous and exogenous stressors and can lead to poor outcomes. It is an emerging concept in perioperative medicine, since an increasing number of patients undergoing surgical interventions are older and the traditional models of care seem to be inadequate to satisfy these patients' emerging clinical needs. Nowadays, the progressive technical and clinical improvements allow to offer cardiac operations to an older, sicker and frail population. For these reasons, a multidisciplinary team involving cardiac surgeons, clinical cardiologists, anesthesiologists, and geriatricians, is often needed to assess, select and provide tailored care to these high-risk frail patients to optimize clinical outcomes. There is unanimous agreement that frailty assessment may capture the individual's biological decline and the heterogeneity in risk profile for poor health-related outcomes among people of the same age. However, since commonly used preoperative scores for cardiac surgery fail to capture frailty, a specific preoperative assessment with dedicated tools is warranted to correctly recognize, measure and quantify frailty in these patients. On the contrary, pre-operative and post-operative interventions can reduce the risk of complications and support patient recovery promoting surgical resilience. Minimally invasive cardiac procedures aim to reduce surgical trauma and may be associated with better clinical outcome in this specific sub-group of high-risk patients. Among postoperative adverse events, the occurrence of delirium represents a risk factor for several unfavorable outcomes including mortality and subsequent cognitive decline. Its presence should be carefully recognized, triggering an adequate, evidence based, treatment. There is evidence, from several cross-section and longitudinal studies, that frailty and delirium may frequently overlap, with frailty serving both as a predisposing factor and as an outcome of delirium and delirium being a marker of a latent condition of frailty. In conclusion, frail patients are at increased risk to experience poor outcome after cardiac surgery. A multidisciplinary approach aimed to recognize more vulnerable individuals, optimize pre-operative conditions, reduce surgical invasivity and improve post-operative recovery is required to obtain optimal long-term outcome.

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.

RAI-measured frailty predicts non-home discharge following metastatic brain tumor resection: national inpatient sample analysis of 20,185 patients

PURPOSE

Preoperative risk stratification for patients undergoing metastatic brain tumor resection (MBTR) is based on established tumor-, patient-, and disease-specific risk factors for outcome prognostication. Frailty, or decreased baseline physiologic reserve, is a demonstrated independent risk factor for adverse outcomes following MBTR. The present study sought to assess the impact of frailty, measured by the Risk Analysis Index (RAI), on MBTR outcomes.

METHODS

All MBTR were queried from the National Inpatient Sample (NIS) from 2019 to 2020 using diagnosis and procedural codes. The relationship between preoperative RAI frailty score and our primary outcome - non-home discharge (NHD) - and secondary outcomes - complication rates, extended length of stay (eLOS), and mortality - were analyzed via univariate and multivariable analyses. Discriminatory accuracy was tested by computation of concordance statistics in area under the receiver operating characteristic (AUROC) curve analysis.

RESULTS

There were 20,185 MBTR patients from the NIS database from 2019 to 2020. Each patient's frailty status was stratified by RAI score: 0-20 (robust): 34%, 21-30 (normal): 35.1%, 31-40 (very frail): 13.9%, 41+ (severely frail): 16.8%. Compared to robust patients, severely frail patients demonstrated increased complication rates (12.2% vs. 6.8%, p < 0.001), eLOS (37.6% vs. 13.2%, p < 0.001), NHD (52.0% vs. 20.6%, p < 0.001), and mortality (9.9% vs. 4.1%, p < 0.001). AUROC curve analysis demonstrated good discriminatory accuracy of RAI-measured frailty in predicting NHD after MBTR (C-statistic = 0.67).

CONCLUSION

Increasing RAI-measured frailty status is significantly associated with increased complication rates, eLOS, NHD, and mortality following MBTR. Preoperative frailty assessment using the RAI may aid in preoperative surgical planning and risk stratification for patient selection.