摘要
Abstract
Objective To analyze the factors affecting poor physical recovery in patients with coronary heart disease(CHD)after percutaneous coronary intervention(PCI)and to construct a predictive nomogram.Methods A total of 124 patients with CHD who underwent PCI at the First People's Hospital of Kunshan from June 2022 to December 2023 were collected,and divided into a poor recovery group(56 cases)and a good recovery group(68 cases)based on their physical recovery status after PCI.Clinical data were compared between the two groups.Logistic regression analysis was used to identify risk factors for poor physical recovery in patients with CHD after PCI.The nomogram was drawn using R software,and the model's predictive efficacy for poor physical recovery in patients with CHD after PCI was evaluated using an ROC curve.Results Among 124 patients with CHD,56(45.16%)experiened poor physical recovery after PCI.Statistically significant differences were found between the poor and the good recovery groups in terms of age,body mass index,place of residence,number of PCI stents,PCI frequency,New York Heart Association(NYHA)cardiac functional classification,level of social support,and exercise self-efficacy(χ2=8.440,7.602,4.498,9.859,4.721,7.229,3.914,7.334;P<0.05).Logistic regression analysis showed that age≥60 years old,number of PCI stents≥3,NYHA cardiac functional grading Ⅱ-Ⅲ,and exercise self-efficacy with"no/partial confidence"were independent risk factors for poor physical recovery in patients with CHD after PCI(OR=3.607,7.181,4.595,7.480;P<0.05).The area under the ROC curve was 0.781.Conclusion Age≥60 years old,number of PCI stents≥3,NYHA cardiac functional grading Ⅱ-Ⅲ,and exercise self-efficacy with"no/partial confidence"are independent risk factors for poor physical recovery in patients with CHD after PCI.Constructing a nomogram can aid in predicting poor physical recovery of patients with CHD after PCI.关键词
冠心病/经皮冠状动脉介入/体力恢复/列线图Key words
Coronary heart disease/Percutaneous coronary intervention/Physical recovery/Nomogram
