Implications of intrinsic capacity subtypes for post-PCI patients older than 45

We aim to explore the contributing factors to intrinsic capacity (IC) in middle-aged and older patients after percutaneous coronary intervention (PCI). Intrinsic capacity comprises six core domains: cognition, locomotion, vitality, psychology, vision, and hearing. Each domain was assessed in detail using different scales, based on which the composite IC score was calculated. The study employed latent class analysis (LCA) to identify the various IC subtypes. Logistic regression analyses were used to determine the effect variables of IC subtypes. 318 middle-aged and older post-PCI patients filled out the assessments. Three distinct IC subtypes were found: 47.8% poor audition-vision group (class 1), 38% high cognition-psychology group (class 2), and 14.2% low locomotion-vitality group (class 3). The IC subtype classification may be impacted by factors such as cTnI, NT proBNP, cardiac function, exercise frequency, and comorbidities. Examining IC subtypes may be helpful for focused intervention, and further empirical research is still needed to determine their drivers.

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Publication Details

Journal
Scientific Reports
Published
2025-04-05
DOI
https://doi.org/10.1038/s41598-025-94485-1
Primary Topic
Health Systems, Economic Evaluations, Quality of Life
Type
article
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article

Implications of intrinsic capacity subtypes for post-PCI patients older than 45

Leiwen Tang, Xueqing Wang, Qunyan Xu, Zhao Yuan et al.
Scientific Reports
Health Systems, Economic Evaluations, Quality of Life
article

Implications of intrinsic capacity subtypes for post-PCI patients older than 45

Leiwen Tang, Xueqing Wang, Qunyan Xu, Zhao Yuan, Chang Liu, Dandan Chen, Xiuqin Feng, Yueying Jiang, Panpan Tang, Yunyu Guo
article en

Abstract

We aim to explore the contributing factors to intrinsic capacity (IC) in middle-aged and older patients after percutaneous coronary intervention (PCI). Intrinsic capacity comprises six core domains: cognition, locomotion, vitality, psychology, vision, and hearing. Each domain was assessed in detail using different scales, based on which the composite IC score was calculated. The study employed latent class analysis (LCA) to identify the various IC subtypes. Logistic regression analyses were used to determine the effect variables of IC subtypes. 318 middle-aged and older post-PCI patients filled out the assessments. Three distinct IC subtypes were found: 47.8% poor audition-vision group (class 1), 38% high cognition-psychology group (class 2), and 14.2% low locomotion-vitality group (class 3). The IC subtype classification may be impacted by factors such as cTnI, NT proBNP, cardiac function, exercise frequency, and comorbidities. Examining IC subtypes may be helpful for focused intervention, and further empirical research is still needed to determine their drivers.

Scientific ReportsVol. 15(1)
University of South Australia (AU), Second Affiliated Hospital of Zhejiang University (CN), Zhejiang University (CN)
Openalex Percentile: Top 90%
Health Systems, Economic Evaluations, Quality of Life
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