Frailty and quality of life after invasive management for non-ST elevation acute coronary syndrome

Frailty efficacy as a predictor of clinical and cognitive complications in patients undergoing coronary artery bypass grafting: a prospective cohort study

BACKGROUND

Frailty is proposed as a predictor of outcomes in patients undergoing major surgeries, although data on the association of frailty and coronary artery bypass grafting (CABG) are lacking. We assessed the association between frailty and cognitive and clinical complications following CABG.

METHODS

This prospective study included patients aged over 60 years undergoing elective CABG at Tehran Heart Center from 2020 to 2022. Baseline and three-month follow-up data on frailty using the Frail scale and clinical Frail scale, functional status using the Lawton Instrumental Activities of Daily Living Scale (IADL), cognitive function by Montreal Cognitive Assessment (MoCA), and depression by the Geriatric Depression Scale (GDS) were obtained. The incidence of adverse outcomes was investigated at the three-month follow-up. Outcomes between frail and non-frail groups were compared utilizing T-tests and Mann-Whitney U tests, as appropriate.

RESULTS

We included 170 patients with a median age of 66 ± 4 years (75.3% male). Of these, 58 cases were classified as frail, and 112 individuals were non-frail, preoperatively. Frail patients demonstrated significantly worse baseline MOCA scores (21.08 vs. 22.41, P = 0.045), GDS (2.00 vs. 1.00, P = 0.009), and Lawton IADL (8.00 vs. 6.00, P < 0.001) compared to non-frail. According to 3-month follow-up data, postoperative MOCA and GDS scores were comparable between the two groups, while Lawton IADL (8.00 vs. 6.00, P < 0.001) was significantly lower in frail cases. A significantly higher rate of readmission (1.8% vs. 12.1%), sepsis (7.1% vs. 19.0%), as well as a higher Euroscore (1.5 vs. 1.9), was observed in the frail group. A mildly significantly more extended ICU stay (6.00 vs. 5.00, p = 0.051) was shown in the frail patient.

CONCLUSION

Frailty showed a significant association with a worse preoperative independence level, cognitive function, and depression status, as well as increased postoperative complications.

Differences in treatment and clinical outcomes in patients aged ≥75 years compared with those aged ≤74 years following acute coronary syndromes: a prospective multicentre study

OBJECTIVE

This study describes the differences in treatment and clinical outcomes in patients aged ≥75 years compared with those aged ≤74 years presenting with acute coronary syndrome (ACS) and undergoing invasive management.

METHODS

A large-scale cohort study of patients with ST-elevation/non-ST-elevation myocardial infarction (MI)/unstable angina underwent coronary angiography (January 2015-December 2019). Patients were classified as older (≥75 years) and younger (≤74 years). Regression analysis was used to yield adjusted risks of mortality for older versus younger patients (adjusted for history of heart failure, hypercholesterolaemia, peripheral vascular disease, chronic obstructive pulmonary disease, ischaemic heart disease, presence of ST-elevation MI on presenting ECG, female sex and cardiogenic shock at presentation).

RESULTS

In total, 11 763 patients were diagnosed with ACS, of which 39% were aged ≥75 years. Percutaneous coronary intervention was performed in fewer older patients than younger patients (81.2% vs 86.2%, p<0.001). At discharge, older patients were prescribed less secondary-prevention medications than younger patients. Median follow-up was 4.57 years. Older patients had a greater risk of in-hospital mortality than younger patients (adjusted OR (aOR) 2.12, 95% CI 1.62 to 2.78, p<0.001). Older patients diagnosed with ST-elevation MI had greater adjusted odds of dying in-hospital (aOR 2.47, 95% CI 1.79 to 3.41, p<0.001). Older age was not an independent prognostic factor of mortality at 1 year (adjusted HR (aHR) 0.95, 95% CI 0.82 to 1.09, p=0.460) and at longer term (aHR 0.98, 95% CI 0.87 to 1.10, p=0.684).

CONCLUSIONS

Older patients are discharged with less secondary prevention. Patients aged ≥75 years are more likely to die in-hospital than younger patients.

Tailoring antiplatelet therapy in older patients with coronary artery disease

The older population represents a unique subset of patients due to a higher rate of comorbidities and risk factors, which can lead to a higher rate of ischemic and bleeding events. As a result, older adults are mainly underrepresented or excluded from randomized trials. Although the advancement in the percutaneous coronary intervention field with the development of new technologies, techniques, and potent antiplatelet therapy led to a reduction of ischemic risk, there is still a concern regarding bleeding hazards. Apart from the global utilization of less invasive trans-radial approach and proton pump inhibitors to reduce bleeding risk, proper tailoring of antiplatelet therapy in the older person is imperative. So far, several antiplatelet drugs have been introduced in different clinical scenarios, with dual antiplatelet therapy (combination of acetylsalicylic acid and P2Y12 inhibitor) recommended after percutaneous coronary intervention. The decision on the choice of antiplatelet drug and the DAPT duration is challenging and should be based on the relationship between ischemia and bleeding with the purpose of reducing ischemic events but not at the expense of increased bleeding complications. This is particularly important in the older population, where the evidence is obscure. The main objective of this review is to summarize the available evidence on contemporary antiplatelet therapy and different approaches of de-escalation strategies in older patients after percutaneous coronary intervention.

Impact of multimorbidity on long-term outcomes in older adults with non-ST elevation acute coronary syndrome in the North East of England: a multi-centre cohort study of patients undergoing invasive care

OBJECTIVES

Older adults have a higher degree of multimorbidity, which may adversely affect longer term outcomes from non-ST elevation acute coronary syndrome (NSTE-ACS). We investigated the impact of multimorbidity on cardiovascular outcomes 5 years after invasive management of NSTE-ACS.

DESIGN

Prospective cohort study.

SETTING

Multicentre study conducted in the north of England.

PARTICIPANTS

298 patients aged ≥75 years with NSTE-ACS and referred for coronary angiography, with 264 (88.0%) completing 5-year follow-up.

MAIN OUTCOME MEASURES

Multimorbidity was evaluated at baseline with the Charlson comorbidity index (CCI). The primary composite outcome was all-cause mortality, myocardial infarction, stroke, urgent repeat revascularisation or significant bleeding.

RESULTS

Mean age was 80.9 (±6.1) years. The cohort median CCI score was 5 (IQR 4-7). The primary composite outcome occurred in 48.1% at 5 years, at which time 31.0% of the cohort had died. Compared with those with few comorbidities (CCI score 3-5), a higher CCI score (≥6) was positively associated with the primary composite outcome (adjusted HR (aHR) 1.64 (95% CI 1.14 to 2.35), p=0.008 adjusted for age and sex), driven by an increased risk of death (aHR 2.20 (1.38 to 3.49), p=0.001). For each additional CCI comorbidity, on average, there was a 20% increased risk of the primary composite endpoint at 5 years (aHR 1.20 (1.09 to 1.33), p<0.001).

CONCLUSIONS

In older adults with NSTE-ACS referred for coronary angiography, the presence of multimorbidity is associated with an increased risk of long-term adverse cardiovascular events, driven by a higher risk of all-cause mortality.

TRIAL REGISTRATION NUMBER

NCT01933581; ClinicalTrials.gov.

Five-year clinical outcomes in patients with frailty aged ≥75 years with non-ST elevation acute coronary syndrome undergoing invasive management

Aim

Frailty is associated with adverse outcomes in older patients with acute coronary syndrome (ACS). The impact of frailty on long-term clinical outcomes following invasive management of non-ST elevation ACS (NSTEACS) is unknown.

Methods and results

The multi-centre Improve Clinical Outcomes in high-risk patieNts with ACS 1 (ICON-1) prospective cohort study consisted of patients aged >75 years undergoing coronary angiography following NSTEACS. Patients were categorized by frailty assessed by Canadian Study of Health and Ageing Clinical Frailty Scale (CFS) and Fried criteria. The primary composite endpoint was all-cause mortality, unplanned revascularization, myocardial infarction, stroke, and bleeding. Of 263 patients, 33 (12.5%) were frail, 152 (57.8%) were pre-frail, and 78 (29.7%) were robust according to CFS. By Fried criteria, 70 patients (26.6%, mean age 82.1 years) were frail, 147 (55.9%, mean age 81.3 years) were pre-frail, and 46 (17.5%, mean age 79.9 years) were robust. The composite endpoint was more common at 5 years among patients with frailty according to CFS (frail: 22, 66.7%; pre-frail: 81, 53.3%; robust: 27, 34.6%, P = 0.003), with a similar trend when using Fried criteria (frail: 39, 55.7%; pre-frail: 72, 49.0%; robust: 16, 34.8%, P = 0.085). Frailty measured with both CFS and Fried criteria was associated with the primary endpoint [age and sex-adjusted hazard ratio (HR) compared with robust groups. CFS: 2.22, 95% confidence interval (CI) 1.23–4.02, P = 0.008; Fried: HR 1.81, 95% CI 1.00–3.27, P = 0.048].

Conclusion

In older patients who underwent angiography following NSTEACS, frailty is associated with an increased risk of the primary composite endpoint at 5 years.

Registration:

Clinicaltrials.gov NCT01933581

Association of multimorbidity and changes in health-related quality of life following myocardial infarction: a UK multicentre longitudinal patient-reported outcomes study

BACKGROUND

Multimorbidity is prevalent for people with myocardial infarction (MI), yet previous studies investigated single-health conditions in isolation. We identified patterns of multimorbidity in MI survivors and their associations with changes in HRQoL.

METHODS

In this national longitudinal cohort study, we analysed data from 9566 admissions with MI from 77 National Health Service hospitals in England between 2011 and 2015. HRQoL was measured using EuroQol 5 dimension (EQ5D) instrument and visual analogue scale (EQVAS) at hospitalisation, 6, and 12 months following MI. Latent class analysis (LCA) of pre-existing long-term health conditions at baseline was used to identify clusters of multimorbidity and associations with changes in HRQoL quantified using mixed effects regression analysis.

RESULTS

Of 9566 admissions with MI (mean age of 64.1 years [SD 11.9], 7154 [75%] men), over half (5119 [53.5%] had multimorbidities. LCA identified 3 multimorbidity clusters which were severe multimorbidity (591; 6.5%) with low HRQoL at baseline (EQVAS 59.39 and EQ5D 0.62) which did not improve significantly at 6 months (EQVAS 59.92, EQ5D 0.60); moderate multimorbidity (4301; 47.6%) with medium HRQoL at baseline (EQVAS 63.08, EQ5D 0.71) and who improved at 6 months (EQVAS 71.38, EQ5D 0.76); and mild multimorbidity (4147, 45.9%) at baseline (EQVAS 64.57, EQ5D 0.75) and improved at 6 months (EQVAS 76.39, EQ5D 0.82). Patients in the severe and moderate groups were more likely to be older, women, and presented with NSTEMI. Compared with the mild group, increased multimorbidity was associated with lower EQ-VAS scores (adjusted coefficient: -5.12 [95% CI -7.04 to -3.19] and -0.98 [-1.93 to -0.04] for severe and moderate multimorbidity, respectively. The severe class was more likely than the mild class to report problems in mobility, OR 9.62 (95% confidence interval: 6.44 to 14.36), self-care 7.87 (4.78 to 12.97), activities 2.41 (1.79 to 3.26), pain 2.04 (1.50 to 2.77), and anxiety/depression 1.97 (1.42 to 2.74).

CONCLUSIONS

Among MI survivors, multimorbidity clustered into three distinct patterns and was inversely associated with HRQoL. The identified multimorbidity patterns and HRQoL domains that are mostly affected may help to identify patients at risk of poor HRQoL for which clinical interventions could be beneficial to improve the HRQoL of MI survivors.

TRIAL REGISTRATION

ClinicalTrials.gov NCT01808027 and NCT01819103.