This study aimed to explore the potential profile categories of perceived social support in patients after percutaneous coronary intervention and the differences in characteristics and influencing factors of different categories. From September 2024 to March 2025, 254 post-stenting patients in a tertiary hospital in Anhui Province as study subjects. The general information questionnaire, comprehension social support scale, medical coping style questionnaire, and Chinese cardiovascular patients' quality of life assessment questionnaire were used to conduct the survey. Latent profile analysis was used to explore the categories of social support in post-PCI patients, and the influencing factors of their latent profiles were explored by univariate analysis and multivariate logistic regression analysis. The results of the potential profiles showed that post-PCI patients' perceived social support could be categorized into three potential categories: multidimensional low support group (22.05%), multidimensional medium support group (31.10%), and multidimensional high support group (46.85%). Multiple logistic regression analysis showed that greasy, salty, and spicy eating habits and confrontation coping were protective factors in the multidimensional medium support group compared with the multidimensional low support group; and that male, quality of life, and submission coping were protective factors in the multidimensional high support group ( P<0.05). There is obvious heterogeneity in the perceived social support of postoperative patients, and healthcare professionals should implement targeted nursing care measures by combining the different characteristics of the potential categories and their influencing factors, in order to promote the improvement of physical and mental health of postoperative patients.

Mengjing Sun, Huiqin Sun, Fengjuan Shi, Xiaojun Feng, Juxia Wang. Characterization of Potential Categories of Perceived Social Support for Patients after Percutaneous Coronary Intervention and Analysis of Influencing Factors. International Journal of World Medicine (2026), Vol. 7, Issue 1: 8-17. https://doi.org/10.38007/IJWM.2026.070102.

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