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Open access Jul 2026

Frailty Status and Outcomes in Patients with Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention: a multicentre retrospective cohort study.

AIM Frailty is increasingly recognised as an age-independent predictor of adverse outcomes in cardiovascular disease, yet it is rarely assessed in acute coronary syndrome (ACS) due to practical limitations. This study examined the prognostic significance of frailty, assessed using a laboratory-based frailty index (FI-Lab), in patients with ACS undergoing percutaneous coronary intervention (PCI). METHODS AND RESULTS We conducted a multicentre retrospective cohort study across five Korean hospitals using the Observational Medical Outcomes Partnership Common Data Model. Adult patients (≥18 years) who underwent PCI for ACS were included. Frailty status was determined as FI-Lab ≥ 0.4, calculated as the proportion of deficits across 28 routine laboratory variables, with inclusion restricted to patients having at least 70% of laboratory values available. Propensity score matching (1:1) and cox proportional hazards regression were employed to examine the relationships between frailty and clinical outcomes including recurrent acute myocardial infarction, hospital readmissions, and all-cause mortality. Of 5,405 patients, 25.2% were classified as frail. After matching, 929 pairs were analysed. Frailty was significantly associated with hospital readmission (HR 1.946; 95% CI 1.635-2.316) and all-cause mortality (HR 3.675; 95% CI 2.680-5.038), but not with recurrent AMI (HR 0.995; 95% CI 0.854-1.160). Subgroup analyses confirmed consistent associations across age and sex, with robust links to mortality in patients ≥65 years. CONCLUSION Frailty, as assessed by FI-Lab, independently predicted hospital readmission and mortality after PCI in patients with ACS. Automated, laboratory-based frailty screening is feasible in acute settings and supports its integration into cardiovascular nursing for early risk stratification and personalised care.

Sujin Gan, E. Seo, Sang Youl Rhee et al. · 0 citations
Open access Jul 2026

Prevalence and Latent Profiles of Cognitive Impairment in Patients with Heart Failure: A Secondary Data Analysis

Background/Objectives: Cognitive impairment can weaken self-management competency in heart failure (HF) patients. This study estimated domain-specific cognitive impairment prevalence using actuarial criteria and identified latent cognitive profiles among Korean HF outpatients. Methods: Using a previously collected cross-sectional dataset of 106 HF outpatients, cognitive function was assessed with the Seoul Neuropsychological Screening Battery-II. Actuarial criteria determined domain-specific impairment, and latent profile analysis (LPA) derived cognitive profiles based on domain composite z-scores. Results: Any cognitive impairment (≥1 impaired domain) was present in 32.1% (95% confidence interval [CI], 24.0–41.5%), most frequently affecting executive function (17.9%) and memory (15.1%). LPA identified three exploratory profiles: relatively preserved (30.2%), memory-vulnerable (45.3%), and globally vulnerable (24.5%). In exploratory models, anxiety symptoms were associated with higher odds of memory-vulnerable profile membership (odds ratio [OR] = 2.81, 95% CI, 1.03–7.64) and overall vulnerability in a Firth penalized analysis (OR = 3.39, 95% CI, 1.46–8.11), whereas depressive symptoms showed no significant association. No associations remained statistically significant after false discovery rate correction. Conclusions: Cognitive vulnerability in HF outpatients is phenotypically heterogeneous and showed a possible, unconfirmed association with anxiety symptoms that did not remain statistically significant after correction for multiple comparisons. Outpatient HF care planning may benefit from considering both domain-specific deficits and latent cognitive profile patterns; however, these exploratory findings require validation in larger cohorts.

S. Bae, Jinsun Park, Joon-han Shin · 0 citations