Develpment and validation of a risk prediction model for postoperative kinesiophobia in lung cancer patients
Objective To develop and validate a nomogram model for predicting the risk of kinesiophobia in patients after lung cancer surgery.Methods A total of 164 lung cancer patients who underwent surgery in a Grade ⅢA hospital in Xiamen were recruited from October 2022 to May 2023 in this study.Logistic regression was conducted to identify independent risk factors of kinesiophobia in patients who recieved lung cancer surgery.A Nomogram model was developed using R software for predicting the risk of kinesiophobia.The predictive performance of the model was assessed by calculating the receiver-operating-characteristics curve(ROC)and the area under curve(AUC).Results The incidence of postoperative kinesiophobia in lung cancer patients was at 44.51％.Logistic regression analysis showed that pain and fatigue were the risk factors for the occurrence of postoperative kinesiophobia in the patients(P<0.05)and self-efficacy was a protective factor(P<0.05).Validation of the Nomogram model showed that the ROC curve indicated an AUC of 0.888(95％CI 0.836-0.940)for predicting kenesiophobia in patients after lung cancer surgery and the calibration curve presented as a line with a slope close to 1.The Hosmer-Lemeshow goodnee-of-fit test showed that the model could accurately predict the risk of postoperative kinesiophobia in lung cancer patients(χ 2=1.931,P=0.983).Conclusion Self-efficacy,pain and fatigue are the influencing factors for the occurrence of postoperative kinesiophobia in the patients who received lung cancer surgery.The nomogram prediction model has good accuracy and discrimination,and it may assist the healthcare professionals to predict the occurrence of postoperative kinesiophobia in the patients after lung cancer surgery and take pertinent measures to minimise the incidence.
万方数据
维普
