Frailty score for elderly patients is associated with short-term clinical outcomes in patients with ST-segment elevated myocardial infarction treated with primary percutaneous coronary intervention

Development and validation of machine learning-derived frailty index in predicting outcomes of patients undergoing percutaneous coronary intervention

Introduction

Frailty is associated with increased mortality in patients with percutaneous coronary intervention (PCI). Existing operationalized frailty measurement tools are limited and require resource intensive process. We developed and validated a tool to identify and stratify frailty using collected data for patients who underwent PCI and explored its predictive power to predict adverse clinical outcomes post PCI.

Methods

Between 2014 and 2015, 1,732 patients who underwent semi-urgent or elective PCI in a tertiary centre were included. Variables including demographics, co-morbidities, investigations and clinical outcomes to 33 ± 37 months were analysed. Logistic regression model and Extreme Gradient Boosting (XGBoost) machine learning model were constructed to identify predictors of adverse clinical outcomes post PCI. The final models' predicted probabilities were assessed with area under receiver operating characteristic curve (AUC).

Results

With model analysis, frailty index (FI), age and gender were the 3 most important features for adverse clinical outcomes prediction, with FI contributing the most. After adjustment, the odds of FI to predict cardiac death and in-hospital death post PCI remained significant [1.94 (95 %CI1.79-2.10); p < 0.001, 2.04(95 %CI 1.87-2.23); p < 0.001 respectively]. The XGBoost machine learning models improved predictive power for cardiac death [AUC 0.83(95 %CI 0.80-0.86)] and in hospital death [AUC 0.83(95 %CI 0.80-0.86)] post PCI compared to logistic regression models.

Conclusion

The resultant model developed using novel machine learning methodologies had good predictive power for significant clinical outcomes post PCI with potential to be automated within hospital information systems.

Clinical and Biological Markers of Frailty Syndrome in Patients Undergoing Elective Percutaneous Coronary Intervention

BACKGROUND

The aim of this study was to analyze the prevalence of prefrailty and frailty syndrome (FS) in patients with coronary artery disease (CAD), and the clinical and biological characteristics of frail patients undergoing elective percutaneous coronary intervention (PCI).

MATERIAL AND METHODS

The study included 78 patients with CAD who were admitted to the clinic to undergo PCI. To detect prefrailty and FS in patients, we used a short physical performance test battery (10-12 points-no FS, 8-9 points-prefrailty, 7 or fewer points-FS). We used the RayBio® Human ELISA Kit (Norcross, GA, USA), a highly sensitive and highly specific enzyme-linked immunosorbent assay, to determine the concentration of biological markers of inflammation (IL-6, IL-10, IL-13, IL-15, TNF-α) and bone, muscle, and fat remodeling (leptin, calcitonin, osteoprotegerin, osteocalcin, myostatin) in the serum of patients with coronary artery disease before planned PCI.

RESULTS

Taking into account the test battery score, the prevalence of FS in patients with CAD before elective PCI was 24.4%, the prevalence of prefrailty was 33.3%. According to the results of the study, older women with type 2 diabetes in their history were significantly more likely to be frail. Studying a wide range of biological markers of inflammation and musculoskeletal and fat remodeling, we noted lower levels of calcitonin (2.60 [1.50; 5.85] pg/mL, p = 0.018) and osteoprotegerin (0.80 [0.60; 1.20] ng/mL, p = 0.025) in the serum of frail patients with CAD. Later we confirmed the results by correlation analysis. Moreover, we found an association between FS and higher serum leptin levels in patients with CAD before elective PCI.

CONCLUSION

The results of the study confirm the high prevalence of prefrailty (33.3%) and FS (24.4%) in patients with CAD. Older women with type 2 diabetes in their history were significantly more likely to be frail. At the same time, the presence of FS is associated with lower levels of calcitonin and osteoprotegerin, and higher levels of leptin in the serum of frail patients before elective PCI.

The impact of patient-reported frailty on cardiovascular outcomes in elderly patients after non-ST-acute coronary syndrome

BACKGROUND

As life expectancy increases, the population of older individuals with coronary artery disease and frailty is growing. We aimed to assess the impact of patient-reported frailty on the treatment and prognosis of elderly early survivors of non-ST-elevation acute coronary syndrome (NSTE-ACS).

METHODS

Frailty data were obtained from two prospective trials, POPular Age and the POPular Age Registry, which both assessed elderly NSTE-ACS patients. Frailty was assessed one month after admission with the Groningen Frailty Indicator (GFI) and was defined as a GFI-score of 4 or higher. In these early survivors of NSTE-ACS, we assessed differences in treatment and 1-year outcomes between frail and non-frail patients, considering major adverse cardiovascular events (MACE, including cardiovascular mortality, myocardial infarction, and stroke) and major bleeding.

RESULTS

The total study population consisted of 2192 NSTE-ACS patients, aged ≥70 years. The GFI-score was available in 1320 patients (79 ± 5 years, 37% women), of whom 712 (54%) were considered frail. Frail patients were at higher risk for MACE than non-frail patients (9.7% vs. 5.1%, adjusted hazard ratio [HR] 1.57, 95% confidence interval [CI] 1.01-2.43, p = 0.04), but not for major bleeding (3.7% vs. 2.8%, adjusted HR 1.23, 95% CI 0.65-2.32, p = 0.53). Cubic spline analysis showed a gradual increase of the risk for clinical outcomes with higher GFI-scores.

CONCLUSIONS

In elderly NSTE-ACS patients who survived 1-month follow-up, patient-reported frailty was independently associated with a higher risk for 1-year MACE, but not with major bleeding. These findings emphasize the importance of frailty screening for risk stratification in elderly NSTE-ACS patients.

Value of the Safety Management System (VMS) frailty instrument as a frailty screener in care for older hospital patients: a systematic review

BACKGROUND

Dutch hospitals are required to screen older patients for the risk of developing functional decline using the Safety Management System (VMS) which assesses four domains associated with functional decline; fall risk, risk of delirium, malnutrition, and physical impairment.

PURPOSE

The aim is twofold, first to compare the VMS frailty instrument as a frailty screener with existing frailty instruments and second to provide an overview of the available evidence.

METHODS

We performed a literature search to identify studies that used the VMS instrument as frailty screener to asses frailty or to predict adverse health outcomes in older hospitalized patients. Pubmed, Cinahl, and Embase were searched from January 1st 2008 to December 11th 2023.

RESULTS

Our search yielded 603 articles, of which 17 studies with heterogenous populations and settings were included. Using the VMS, frailty was scored in six different ways. The agreement between VMS and other frailty instruments ranged from 57 to 87%. The highest sensitivity and specificity of VMS for frailty were 90% and 67%, respectively. The association of the VMS with outcomes was studied in 14 studies, VMS was predictive for complications, delirium, falls, length of stay, and adverse events. Conflicting results were found for hospital (re)admission, complications, change in living situation, functional decline, and mortality.

CONCLUSION

The VMS frailty instrument were studied as a frailty screening instrument in various populations and settings. The value of the VMS instrument as a frailty screener looks promising. Our results suggest that the scoring method of the VMS could be adapted to specific requirements of settings or populations.

Chronological vs Biological Age in Interventional Cardiology: A Comprehensive Approach to Care for Older Adults: JACC Family Series

Aging is the gradual decline in physical and physiological functioning leading to increased susceptibility to stressors and chronic illnesses, including cardiovascular disease. With an aging global population, in which 1 in 6 individuals will be older than 60 years by 2030, interventional cardiologists are increasingly involved in providing complex care for older individuals. Although procedural aspects remain their main clinical focus, interventionalists frequently encounter age-associated risks that influence eligibility for invasive care, decision making during the intervention, procedural adverse events, and long-term management decisions. The unprecedented growth in transcatheter interventions, especially for structural heart diseases at extremes of age, have pushed age-related risks and implications for cardiovascular care to the forefront. In this JACC state-of-the-art review, the authors provide a comprehensive overview of the aging process as it relates to cardiovascular interventions, with special emphasis on the difference between chronological and biological aging. The authors also address key considerations to improve health outcomes for older patients during and after their invasive cardiovascular care. The role of "gerotherapeutics" in interventional cardiology, technological innovation in measuring biological aging, and the integration of patient-centered outcomes in the older adult population are also discussed.

Impact of frailty on outcomes of elderly patients undergoing percutaneous coronary intervention: A systematic review and meta-analysis

BACKGROUND

Frailty is a common condition in elderly patients who receive percutaneous coronary intervention (PCI). However, how frailty affects clinical outcomes in this group is unclear.

AIM

To assess the link between frailty and the outcomes, such as in-hospital complications, post-procedural complications, and mortality, in elderly patients post-PCI.

METHODS

The PubMed/MEDLINE, EMBASE, Cochrane Library, and Web of Science databases were screened for publications up to August 2023. The primary outcomes assessed were in-hospital and all-cause mortality, major adverse cardiovascular events (MACEs), and major bleeding. The Newcastle-Ottawa Scale was used for quality assessment.

RESULTS

Twenty-one studies with 739693 elderly patients undergoing PCI were included. Frailty was consistently associated with adverse outcomes. Frail patients had significantly higher risks of in-hospital mortality [risk ratio: 3.45, 95% confidence interval (95%CI): 1.90-6.25], all-cause mortality [hazard ratio (HR): 2.08, 95%CI: 1.78-2.43], MACEs (HR: 2.92, 95%CI: 1.85-4.60), and major bleeding (HR: 4.60, 95%CI: 2.89-7.32) compared to non-frail patients.

CONCLUSION

Frailty is a pivotal determinant in the prediction of risk of mortality, development of MACEs, and major bleeding in elderly individuals undergoing percutaneous coronary intervention.

Development and Internal Validation of a Prediction Model for Falls Using Electronic Health Records in a Hospital Setting

OBJECTIVE

Fall prevention is important in many hospitals. Current fall-risk-screening tools have limited predictive accuracy specifically for older inpatients. Their administration can be time-consuming. A reliable and easy-to-administer tool is desirable to identify older inpatients at higher fall risk. We aimed to develop and internally validate a prognostic prediction model for inpatient falls for older patients.

DESIGN

Retrospective analysis of a large cohort drawn from hospital electronic health record data.

SETTING AND PARTICIPANTS

Older patients (≥70 years) admitted to a university medical center (2016 until 2021).

METHODS

The outcome was an inpatient fall (≥24 hours of admission). Two prediction models were developed using regularized logistic regression in 5 imputed data sets: one model without predictors indicating missing values (Model-without) and one model with these additional predictors indicating missing values (Model-with). We internally validated our whole model development strategy using 10-fold stratified cross-validation. The models were evaluated using discrimination (area under the receiver operating characteristic curve) and calibration (plot assessment). We determined whether the areas under the receiver operating characteristic curves (AUCs) of the models were significantly different using DeLong test.

RESULTS

Our data set included 21,286 admissions. In total, 470 (2.2%) had a fall after 24 hours of admission. The Model-without had 12 predictors and Model-with 13, of which 4 were indicators of missing values. The AUCs of the Model-without and Model-with were 0.676 (95% CI 0.646-0.707) and 0.695 (95% CI 0.667-0.724). The AUCs between both models were significantly different (P = .013). Calibration was good for both models.

CONCLUSIONS AND IMPLICATIONS

Both the Model-with and Model-without indicators of missing values showed good calibration and fair discrimination, where the Model-with performed better. Our models showed competitive performance to well-established fall-risk-screening tools, and they have the advantage of being based on routinely collected data. This may substantially reduce the burden on nurses, compared with nonautomatic fall-risk-screening tools.

Assessment and Management of Older Adults Undergoing PCI, Part 1: A JACC: Advances Expert Panel

As the population ages, older adults represent an increasing proportion of patients referred to the cardiac catheterization laboratory. Older adults are the highest-risk group for morbidity and mortality, particularly after complex, high-risk percutaneous coronary interventions. Structured risk assessment plays a key role in differentiating patients who are likely to derive net benefit vs those who have disproportionate risks for harm. Conventional risk assessment tools from national cardiovascular societies typically rely on 3 pillars: 1) cardiovascular risk; 2) physiologic and hemodynamic risk; and 3) anatomic and procedural risks. We propose adding a fourth pillar: geriatric syndromes, as geriatric domains can supersede all other aspects of risk.

Combined nutritional and frailty screening improves assessment of short-term prognosis in older adults following percutaneous coronary intervention

BACKGROUND

Frailty and malnutrition are well-known factors influencing outcomes of myocardial infarction (MI) in older adults. Due to considerable overlap between both entities, whether the simultaneous assessment of frailty and nutrition adds nonredundant value to risk assessment is unknown.

METHODS

We performed a prospective cohort study on 402 patients aged at least 65 years diagnosed with ST-elevation MI that underwent percutaneous coronary intervention. Nutritional status was assessed by Controlling Nutritional Status score (CONUT), Prognostic Nutritional Index, and Geriatric Nutritional Response Index. Frailty was assessed by Clinical Frailty Scale (CFS), Derby frailty index, and acute frailty network. Primary outcome was major adverse cardiac events (MACE), comprising all-cause mortality, non-fatal MI, and unplanned repeat revascularization during 28-day follow-up. Increment in Global Registry of Acute Coronary Events (GRACE) score performance following the addition of nutrition and frailty was assessed.

RESULTS

The incidence of MACE was 8.02 (6.38-9.95) per 1000 person-days. The CONUT score and CFS were the best predictors of MACE and independent predictors in the multivariate Cox-regression models [hazard ratios, 2.80 (1.54-5.09) and 2.54 (1.50-4.29)]. CONUT score classified 151 (37.6%) patients as malnourished, and CFS classified 131 (32.6%) as frail. The addition of both CONUT and CFS to the GRACE score led to better model discrimination and calibration through improved c-statistic (+0.165) ( P < 0.0001) and Akaike and Bayesian information criteria.

CONCLUSION

Combining CONUT and CFS provides nonredundant prognostic value despite their overlapping nature. Combined nutritional and frailty screening may improve risk prognostication in older adults following MI.

Temporal Trends in Reperfusion Delivery and Clinical Outcomes Following Implementation of a Regional STEMI Protocol – a 12 Year Perspective

Background

The Vancouver Coastal Health (VCH) ST-elevation myocardial infarction (STEMI) program aimed to increase access to primary percutaneous coronary intervention (PPCI) and reduce first-medical-contact-to-device times (FMC-DTs). We evaluated the long-term program impact on PPCI access and FMC-DT, and overall and reperfusion-specific in-hospital mortality.

Methods

We analyzed all VCH STEMI patients between June 2007 and November 2019. The primary outcome was the proportion of patients receiving PPCI over 4 program implementation phases over 12 years. We also evaluated overall changes in median FMC-DT and the proportion of patients achieving guideline-mandated FMC-DT, in addition to overall and reperfusion-specific in-hospital mortality.

Results

A total of 3138 of 4305 VCH STEMI patients were treated with PPCI. PPCI rates increased from 40.2% to 78.7% from 2007 to 2019 (P < 0.001). From phase 1 to 4, median FMC-DT improved from 118 to 93 minutes (percutaneous coronary intervention [PCI]-capable hospitals, P < 0.001) and from 174 to 118 minutes (non-PCI-capable hospitals, P < 0.001), with a concomitant increase in those achieving guideline-mandated FMC-DT (35.5% to 66.1%, P < 0.001). Overall in-hospital mortality was 9.0% (P = 0.20 across phases), with mortality differing significantly by reperfusion strategy (4.0% fibrinolysis, 5.7% PPCI, 30.6% no reperfusion therapy, P < 0.001). Mortality significantly decreased from phase 1 to phase 4 at non-PCI-capable centres (9.6% to 3.9%, P = 0.022) but not at PCI-capable centres (8.7% vs 9.9%, P = 0.27).

Conclusions

A regional STEMI program increased the proportion of patients who received PPCI and improved reperfusion times over 12 years. Although no statistically significant decrease occurred in overall regional mortality incidence, mortality incidence was decreased for patients presenting to non-PCI-capable centres.

Interaction between geriatric syndromes in predicting three months mortality risk

OBJECTIVES

Capturing frailty using a quick tool has proven to be challenging. We hypothesise that this is due to the complex interactions between frailty domains. We aimed to identify these interactions and assess whether adding interactions between domains improves mortality predictability.

METHODS

In this retrospective cohort study, we selected all patients aged 70 or older who were admitted to one Dutch hospital between April 2015 and April 2016. Patient characteristics, frailty screening (using VMS (Safety Management System), a screening tool used in Dutch hospital care), length of stay, and mortality within three months were retrospectively collected from electronic medical records. To identify predictive interactions between the frailty domains, we constructed a classification tree with mortality as the outcome using five variables: the four VMS-domains (delirium risk, fall risk, malnutrition, physical impairment) and their sum. To determine if any domain interactions were predictive for three-month mortality, we performed a multivariable logistic regression analysis.

RESULTS

We included 4,478 patients. (median age: 79 years; maximum age: 101 years; 44.8% male) The highest risk for three-month mortality included patients that were physically impaired and malnourished (23% (95%-CI 19.0-27.4%)). Subgroups had comparable three-month mortality risks based on different domains: malnutrition without physical impairment (15.2% (96%-CI 12.4-18.6%)) and physical impairment and delirium risk without malnutrition (16.3% (95%-CI 13.7-19.2%)).

DISCUSSION

We showed that taking interactions between domains into account improves the predictability of three-month mortality risk. Therefore, when screening for frailty, simply adding up domains with a cut-off score results in loss of valuable information.

Prevalence and adverse outcomes of frailty in older patients with acute myocardial infarction after percutaneous coronary interventions: A systematic review and meta-analysis

BACKGROUND

The association between frailty and older patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI) is unclear. Therefore, we conducted a systematic review and meta-analysis to investigate the prevalence of frailty in older patients with AMI following PCI, and determine the relationship between frailty and adverse outcomes in these patients.

HYPOTHESIS

Older patients with AMI have a higher prevalence of frailty after PCI, and the frailty in these patients increases the risk of adverse outcomes.

METHODS

A comprehensive search of the PubMed, Cochrane, Ovid (Medline), Ovid (Embase), and Web of Science databases was performed for articles published until October 2021. A meta-analysis was performed using stata12.0 software. A random-effects model was used when I² was greater than 50%; otherwise, a fixed-effects model was used.

RESULTS

There were a total of 274,976 older patients in the included studies. Nine studies investigated the prevalence of frailty in older patients with AMI after PCI, with an overall prevalence of 39% (95% confidence interval [CI]: 18%-60%, p < .001). Six studies included adverse outcomes of frailty in older patients with AMI after PCI, including all-cause mortality (hazard ratio [HR] = 2.29, 95% CI: 1.65-3.16, p = .285), rehospitalization (HR = 2.53, 95% CI: 1.38-4.63), and in-hospital major bleeding (HR = 1.93, 95% CI: 1.29-2.90, p = .825).

CONCLUSION

The frailty prevalence is increased in older patients with AMI after PCI, especially in ST-segment elevation myocardial infarction (STEMI). AMI with frailty after PCI is more likely to be associated with worse clinical outcomes, such as death, bleeding, and rehospitalization.

Preexisting frailty and outcomes in older patients with acute myocardial infarction

BACKGROUND

Little is known about the prevalence and prognostic impact of preexisting frailty on acute care and in-hospital outcomes in older adults in the setting of acute myocardial infarction (AMI).

METHODS

Preexisting frailty was assessed at baseline in consecutive AMI patients ≥65 years of age treated at 778 hospitals participating in the NCDR ACTION Registry between January 1, 2015 to December 31, 2016. Three domains of preexisting frailty (cognition, ambulation, and functional independence) were abstracted from chart review and summed in 2 ways: an ACTION Frailty Scale based on responses to 6 groups adapted from the Canadian Study of Health and Aging Clinical Frailty Scale and an ACTION Frailty Score derived by summing a rank score of 0-2 assigned for each grade (total ranged between 0 to 6). Multivariable logistic regression examined the association between assigned frailty by score or scale and in-hospital mortality.

RESULTS

Among 143,722 older AMI patients, 108,059 (75.2%) were fit and/or well and 6,484 (4.5%) were vulnerable to frailty, while 7,527 (5.2%) had mild, 3,913 (2.7%) had moderate, 2,715 had (1.9%) severe, and 632 (0.4%) had very severe frailty according to the ACTION Frailty Scale, while 14,392 (10.0%) could not be categorized due to incomplete ascertainment. Frail patients were older, more frequently female, of non-white race and/or ethnicity, and less likely to be treated with guideline-recommended therapies. Increasing severity of frailty by this scale was associated with a step-wise higher risk for in-hospital mortality (P-trend < .001). Patient categories of the ACTION Frailty Score provided similar results. After adjustment, each 1-unit increase in Frailty Score was associated with a 12% higher mortality risk (OR 1.12, 95% CI 1.10-1.15).

CONCLUSIONS

Among older patients with acute myocardial infarction, frailty is common and independently associated with in-hospital mortality. These findings show the importance of pragmatic evaluation of frailty in hospital-level quality scores, guideline recommendations, and incorporation into other registry data collection efforts.

Age Considerations in the Invasive Management of Acute Coronary Syndromes

The elderly constitute a major proportion of patients admitted with acute coronary syndrome (ACS) in the US. Due to pre-existing comorbidities, frailty, and increased risk ofcomplications from medical and invasive therapies, management ofACS in the elderly population poses challenges. In patients with ST-elevation MI, urgent revascularization with primary percutaneous coronary intervention remains the standard of care irrespective of age. However, an early invasive approach in elderly patients with non-ST-elevation MI is based on individual evaluation of risks versus benefits. In this review, the authors discuss the unique characteristics of elderly patients presenting with ACS, specific geriatric conditions that need to be considered while making treatment decisions in these situations, and available evidence, current guidelines, and future directions for invasive management of elderly patients with ACS.

In-hospital mortality and readmission after ST-elevation myocardial infarction in nonagenarians: A nationwide analysis from the United States

OBJECTIVES

To assess readmission rates in nonagenarians (age ≥ 90 years) with ST-elevation myocardial infarction (STEMI) following primary percutaneous coronary intervention (pPCI) versus no pPCI.

BACKGROUND

There are limited data exploring readmissions following STEMI in nonagenarians undergoing pPCI versus no pPCI.

METHODS

We retrospectively analyzed the Nationwide Readmissions Database to identify nonagenarians hospitalized with STEMI. We divided the cohort into two groups based on pPCI status. We compared mortality during index hospitalization and during 30-day readmission, readmission rates, and causes of readmissions.

RESULTS

We identified 58,231 nonagenarian STEMI hospitalizations between 2010 and 2018, of which 18,809 (32.3%) included pPCI, and 39,422 (67.7%) had no pPCI. Unadjusted unplanned 30-day readmission was higher in pPCI cohort (21.0% vs. 15.4%, p < 0.001). However, mortality during index hospitalization and during 30-day readmission were significantly lower in pPCI cohort (15.8% vs. 32.2%, p < 0.001; 7.4% vs. 14.2%, p < 0.001, respectively). After adjusting for baseline characteristics, hospitalizations that included pPCI had 25% greater odds of unplanned 30-day readmission (adjusted odds ratio [aOR]: 1.25, 95% confidence interval [CI]: 1.12-1.39, p < 0.001) and 49% lower odds of in-hospital mortality during index hospitalization (aOR: 0.51, 95% CI: 0.46-0.56, p < 0.001). Heart failure was the most common cause of readmission in both cohorts followed by myocardial infarction.

CONCLUSIONS

In nonagenarians with STEMI, pPCI is associated with slightly higher 30-day readmission but significantly lower mortality during index hospitalization and during 30-day readmission than no pPCI. Given the overwhelming mortality benefit with pPCI, further research is necessary to optimize the utilization of pPCI while reducing readmissions following STEMI in nonagenarians.

Comfort Measures Only in Myocardial Infarction: Prevalence of This Status, Change Over Time, and Predictors From a Nationwide Study

BACKGROUND

Patients hospitalized with acute myocardial infarction (AMI) have a high mortality rate. Despite increasing recognition of the role for comfort focused care, little is known about the prevalence of comfort measures only (CMO) care among patients with AMI. The objective of this study was to investigate patient- and hospital-level patterns and predictors of CMO care among patients admitted with AMI.

METHODS

This retrospective cohort study used the National Cardiovascular Data Registry Chest Pain-MI Registry, which contains data on patients admitted with AMI. Data were analyzed in 6-month increments from January 2015 to June 2018.

RESULTS

Among 483 696 patients with AMI across 827 hospitals, 13 955 (2.9%) had CMO status at discharge (2.6% non-ST-segment-elevation myocardial infarction and 3.4% ST-segment-elevation myocardial infarction). There was a modest decline in CMO rates over time (3.0% to 2.8%). Independent patient characteristics associated with CMO status included male gender, White race, nonprivate insurance, frailty, and higher estimated bleeding and mortality risks. There was substantial variation in CMO rates across hospitals, with the proportion of CMO patients ranging from 0% to 17.1% and a median odds ratio of 1.59 (95% CI, 1.56-1.62). Among the 13 955 patients who were CMO by discharge, 8134 (58.3%) underwent diagnostic catheterization. This is despite significantly elevated risks predicted using precatheterization models, specifically the ACTION Registry GWTG in-hospital major bleeding and mortality risk scores. Patients who were initially managed invasively but later made CMO experienced high rates of procedural complications, including cardiogenic shock (38.3%), dialysis (10.1%), and bleeding (33.3%).

CONCLUSIONS

Most patients with AMI who were CMO by discharge had aggressive initial management and became CMO following in-hospital complications of their care. Early identification of high-risk patients and appropriate transition of such patients to CMO, if aligned with their values, remain important areas for future quality programs in AMI.

Association between frailty and C-terminal agrin fragment with 3-month mortality following ST-elevation myocardial infarction

The objective of this study was to evaluate the association between frailty, evaluated by the Clinical Frailty Scale (CFS) and FRAIL scale, and C-terminal agrin fragment (CAF) levels with 3-month mortality following ST-segment elevation myocardial infarction (STEMI). This was a prospective observational study that included patients over the age of 18 years with STEMI admitted to the coronary intensive care unit. Within 48 h of admission, the CFS and FRAIL scale were applied and blood samples collected for serum CAF evaluation. Patients were followed for 3 months after hospital discharge, and mortality was recorded. One hundred and eleven patients were included; mean age was 62.3 ± 12.4 years, 61.3% were male and 11.7% died during the 3 months of follow-up. According to the CFS, 79.3% of the patients were classified as not frail, 12.6% as pre-frail and 8.1% as frail. According to the FRAIL scale, 31.5% of the patients were classified as not frail, 53.2% as pre-frail and 15.3% as frail. In univariate analysis, the CFS but not FRAIL scale was associated with mortality. In multiple logistic regression analysis, pre-frail/frail according to CFS (odds ratio [OR]: 6.118; CI 95%: 1.344-27.848; p = 0.019) and CAF levels (OR: 0.943; CI 95%: 0.896-0.992; p = 0.024) were associated with increased 3-month mortality. In a sub-analysis of 53 patients ≥65 years, CFS and CAF levels were associated with 3-month mortality. In conclusion, CAF levels and frailty determined by the CFS were associated with 3-month mortality after STEMI in the general and older population.

Frailty Predicts Poor Prognosis of Patients After Percutaneous Coronary Intervention: A Meta-Analysis of Cohort Studies

Background: Frailty has been related to a higher risk of cardiovascular events, while the association between frailty and outcomes for patients with coronary artery disease (CAD) after percutaneous coronary intervention (PCI) remains unclear. We performed a meta-analysis of cohort studies to evaluate the above association. Methods: Cohort studies aiming to determine the potential independent association between frailty and clinical outcomes after PCI were identified by search of PubMed, Embase, and Web of Science databases from inception to February 22, 2021. A random-effects model that incorporates the possible heterogeneity among the included studies was used to combine the results. Results: Ten cohort studies with 7,449,001 patients were included. Pooled results showed that frailty was independently associated with higher incidence of all-cause mortality [adjusted risk ratio (RR) = 2.94, 95% confidence intervals (CI): 1.90-4.56, I ² = 56%, P < 0.001] and major adverse cardiovascular events [(MACEs), adjusted RR = 2.11, 95% CI: 1.32-3.66, I ² = 0%, P = 0.002]. Sensitivity analyses limited to studies including elderly patients showed consistent results (mortality: RR = 2.27, 95% CI: 1.51-3.41, I ² = 23%, P < 0.001; MACEs: RR = 2.44, 95% CI: 1.44-4.31, I ² = 0%, P = 0.001). Subgroup analyses showed that characteristics of study design, follow-up duration, or type of PCI did not seem to significantly affect the associations (P-values for subgroup analyses all >0.05). Conclusions: Frailty may be an independent risk factor of poor prognosis for patients with CAD after PCI.

The performance of the Dutch Safety Management System frailty tool to predict the risk of readmission or mortality in older hospitalised cardiac patients

Background

Early identification of older cardiac patients at high risk of readmission or mortality facilitates targeted deployment of preventive interventions. In the Netherlands, the frailty tool of the Dutch Safety Management System (DSMS-tool) consists of (the risk of) delirium, falling, functional impairment, and malnutrition and is currently used in all older hospitalised patients. However, its predictive performance in older cardiac patients is unknown.

Aim

To estimate the performance of the DSMS-tool alone and combined with other predictors in predicting hospital readmission or mortality within 6 months in acutely hospitalised older cardiac patients.

Methods

An individual patient data meta-analysis was performed on 529 acutely hospitalised cardiac patients ≥70 years from four prospective cohorts. Missing values for predictor and outcome variables were multiply imputed. We explored discrimination and calibration of: (1) the DSMS-tool alone; (2) the four components of the DSMS-tool and adding easily obtainable clinical predictors; (3) the four components of the DSMS-tool and more difficult to obtain predictors. Predictors in model 2 and 3 were selected using backward selection using a threshold of p = 0.157. We used shrunk c-statistics, calibration plots, regression slopes and Hosmer-Lemeshow p-values (P_HL) to describe predictive performance in terms of discrimination and calibration.

Results

The population mean age was 82 years, 52% were males and 51% were admitted for heart failure. DSMS-tool was positive in 45% for delirium, 41% for falling, 37% for functional impairments and 29% for malnutrition. The incidence of hospital readmission or mortality gradually increased from 37 to 60% with increasing DSMS scores. Overall, the DSMS-tool discriminated limited (c-statistic 0.61, 95% 0.56–0.66). The final model included the DSMS-tool, diagnosis at admission and Charlson Comorbidity Index and had a c-statistic of 0.69 (95% 0.63–0.73; P_HL was 0.658).

Discussion

The DSMS-tool alone has limited capacity to accurately estimate the risk of readmission or mortality in hospitalised older cardiac patients. Adding disease-specific risk factor information to the DSMS-tool resulted in a moderately performing model. To optimise the early identification of older hospitalised cardiac patients at high risk, the combination of geriatric and disease-specific predictors should be further explored.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-021-02243-5.

Very Elderly Patients With Acute Coronary Syndromes Treated With Percutaneous Coronary Intervention

BACKGROUND

The rates of very elderly patients (≥85 years old) undergoing percutaneous coronary intervention (PCI) for acute coronary syndromes (ACS) are rapidly increasing. They are under-represented in clinical trials, and those who are included may not reflect the real-world population. We aim to review the clinical characteristics of very elderly patients undergoing PCI for ACS and identify factors associated with adverse outcomes.

METHOD

All very elderly patients undergoing PCI for ACS in the Auckland region between January 2014 to December 2016 were included. Baseline clinical and procedural details were obtained, and the primary endpoint was all-cause mortality measured up to a maximum of 4 years. Secondary endpoints include recurrent myocardial infarction, unplanned revascularisation, stroke and major bleeding.

RESULTS

A total of 186 patients were included for analysis (mean age 87.6±2.8 years, 51.6% male). Indications for PCI were ST-elevation myocardial infarction (STEMI) in 74 (39.8%), non-ST elevation myocardial infarction (NSTEMI) in 97 (52.2%) and unstable angina in 15 patients (8.1%). Successful PCI was completed in 180 patients. At a maximal follow-up of 4 years (mean 23.4 mo), the rates of all-cause mortality and recurrent myocardial infarction were 22.0% and 14.0% respectively. The risk of mortality was increased by the presence of diabetes (44.8% vs 17.8%, HR=3.0, 95%CI: 1.6-5.9, p=0.001), STEMI (33.8% vs 13.5%, HR=3.1, 95%CI: 1.6-5.9, p=0.001), and reduced eGFR (every -10 mL/min/1.73m², HR=1.7, 95%CI: 1.3-2.1, p<0.0001). Major bleeding events while on dual antiplatelet therapy as defined by Bleeding Academic Research Consortium score ≥3 occurred in 14 patients (7.5%; 8 on ticagrelor, 6 on clopidogrel).

CONCLUSION

Very elderly patients who undergo PCI for ACS have acceptable survival outcomes. STEMI, diabetes and impaired renal function were predictive of mortality in this elderly cohort.

Frailty and the risk of all-cause mortality and hospitalization in chronic heart failure: a meta-analysis

To estimate the risk of all-cause mortality and hospitalization in frail patients with chronic heart failure (HF), a systematic search and meta-analysis was carried out to identify all prospective cohort studies conducted among adults with HF where frailty was quantified and related to the primary endpoints of all-cause mortality and/or hospitalization. Twenty-nine studies reporting the link between frailty and all-cause mortality in 18 757 patients were available for the meta-analysis, along with 11 studies, with 13 525 patients, reporting the association between frailty and hospitalization. Frailty was a predictor of all-cause mortality and hospitalization with summary hazard ratios (HRs) of 1.48 [95% confidence interval (CI): 1.31-1.65, P < 0.001] and 1.40 (95% CI: 1.27-1.54, P < 0.001), respectively. Summary HRs for all-cause mortality among frail inpatients undergoing ventricular assist device implantation, inpatients hospitalized for HF, and outpatients were 1.46 (95% CI: 1.18-1.73, P < 0.001), 1.58 (95% CI: 0.94-2.22, P = not significant), and 1.53 (95% CI: 1.28-1.78, P < 0.001), respectively. Summary HRs for all-cause mortality and frailty based on Fried's phenotype were 1.48 (95% CI: 1.03-1.93, P < 0.001) and 1.42 (95% CI: 1.05-1.79, P < 0.001) for inpatients and outpatients, respectively, and based on other frailty measures were 1.42 (95% CI: 1.12-1.72, P < 0.001) and 1.60 (95% CI: 1.43-1.77, P < 0.001) for inpatients and outpatients, respectively. Across clinical contexts, frailty in chronic HF is associated with an average of 48% and 40% increase in the hazard of all-cause mortality and hospitalization, respectively. The relationship between frailty and all-cause mortality is similar across clinical settings and comparing measurement using Fried's phenotype or other measures.

Prognostic Value of Braden Scale in Patients With Acute Myocardial Infarction: From the Retrospective Multicenter Study for Early Evaluation of Acute Chest Pain

BACKGROUND

The Braden Scale (BS) is a routine nursing measure used to predict pressure ulcer events; it is recommended as a frailty identification instrument.

OBJECTIVE

We aimed to evaluate the predictive utility of the BS in patients with acute myocardial infarction (AMI) undergoing primary percutaneous coronary intervention.

METHODS

We enrolled 2285 patients with AMI from the Retrospective Multicenter Study for Early Evaluation of Acute Chest Pain. The patients were divided into 3 groups (B1, B2, and B3) according to their BS score (≤12 vs 13-14 vs ≥15). The primary endpoint was all-cause death.

RESULTS

There were 264 (12.0%) all-cause deaths during the median follow-up period of 10.5 (7.9-14.2) months. In-hospital and midterm mortality and other adverse outcomes increased with decreases in the BS score. The Kaplan-Meier survival analysis showed that patients with a lower BS score had a lower cumulative survival rate (P < .001). The multivariate Cox regression analysis showed that a decreased BS score was an independent predictor for all-cause mortality (B2 vs B1: hazard ratio, 0.610; 95% confidence interval, 0.440-0.846; P = .003; B3 vs B1: hazard ratio, 0.345; 95% confidence interval, 0.241-0.493; P < .001).

CONCLUSIONS

The BS at admission may be a useful routine nursing measure to evaluate the prognosis of patients with AMI. The BS may be used to stratify risk at early stages and to identify those who may benefit from further assessment and intervention due to frailty syndrome.

Association of frailty with all-cause mortality and bleeding among elderly patients with acute myocardial infarction: a systematic review and meta-analysis

Background

Frailty is a multidimensional syndrome that reflects the physiological reserve of elderly. It is related to unfavorable outcomes in various cardiovascular conditions. We conducted a systematic review and meta-analysis of the association of frailty with all-cause mortality and bleeding after acute myocardial infarction (AMI) in the elderly.

Methods

We comprehensively searched the databases of MEDLINE and EMBASE from inception to March 2019. The studies that reported mortality and bleeding in AMI patients who were evaluated and classified by frailty status were included. Data from each study were combined using the random-effects, generic inverse variance method of DerSimonian and Laird to calculate hazard ratio (HR), and 95% confidence interval (CI).

Results

Twenty-one studies from 2011 to 2019 were included in this meta-analysis involving 143,301 subjects (mean age 75.33-year-old, 60.0% male). Frailty status was evaluated using different methods such as Fried Frailty Index. Frailty was statistically associated with increased early mortality in nine studies (pooled HR = 2.07, 95% CI: 1.67–2.56, P < 0.001, I² = 41.2%) and late mortality in 11 studies (pooled HR = 2.30, 95% CI: 1.70–3.11, P < 0.001, I² = 65.8%). Moreover, frailty was also statistically associated with higher bleeding in 7 studies (pooled HR = 1.34, 95% CI: 1.12–1.59, P < 0.001, I² = 4.7%).

Conclusion

Frailty is strongly and independently associated with bleeding, early and late mortality in elderly with AMI. Frailty assessment should be considered as an additional risk factor and used to guide toward personalized treatment strategies.

Impact of frailty on outcomes in elderly patients with acute myocardial infarction who undergo percutaneous coronary intervention

Aims 

Frailty is characterized by reduced biological reserves and weakened resistance to stressors, and is common in older adults. This study evaluated the prognostic implications of frailty at hospitalization in elderly patients with acute myocardial infarction (AMI) who undergo percutaneous coronary intervention (PCI).

Methods and results 

We prospectively analysed 546 AMI patients aged ≥80 years undergoing PCI from 2009 to 2017. Frailty was classified based on impairment in walking (unassisted, assisted, and wheelchair/non-ambulatory), cognition (normal, mildly impaired, moderately to severely impaired), and basic activities of daily living. Impairment in each domain was scored as 0, 1, or 2, and patients were categorized into the following three groups based on total score: no frailty (0), mild frailty (1–2), moderate-to-severe frailty (≥3). The median follow-up period was 589 days. Of the 546 patients, 27.8% were frail (mild or moderate-to-severe), and this proportion significantly increased to 35.5% at discharge (P &lt; 0.001). Compared to non-frail patients, frail patients were older, less likely to be male, and had a higher rate of advanced Killip class. Major bleeding (no frailty, 9.6%; mild frailty, 16.9%; moderate-to-severe frailty, 31.8%; P &lt; 0.001) and in-hospital mortality (no frailty, 8.4%; mild frailty, 15.4%; moderate-to-severe frailty, 27.3%; P &lt; 0.001) increased as frailty worsened. After adjusting for confounders, frailty was independently associated with higher mid-term all-cause mortality (hazard ratio, 1.81; 95% confidence interval, 1.23–2.65; P = 0.002).

Conclusion 

Frailty in AMI patients aged ≥80 years undergoing PCI was associated with major bleeding, in-hospital death, and mid-term mortality.