Construction and Validation of a Predictive Model for Psychological Pain in First-Episode Stroke Patients
Objective To investigate and analyze the current situation and influencing factors of psychological pain in first-episode stroke patients,construct a predictive model for psychological pain,and validate it.Methods By convenient sampling method,242 first-episode stroke patients admitted to the Neurology of the Second Affiliated Hospital of Zhengzhou University from March to September 2022 were selected as the subjects,and the psychological pain thermometer(DT)was used to assess whether there was significant psychological pain in patients.The clinical data of patients were collected.The influencing factors of patients'psychological pain were screened through single factor analysis and multifactor logistic regression analysis,and a nomogram was drawn to build a prediction model of psychological pain,and receiver operating characteristic(ROC)curve analysis was carried out to verify the model effect.Results The results showed that 126 out of 242 first-episode stroke patients had a positive DT score(DT ≥ 4 points),and the incidence of psychological pain was 52.07％.The final predictive variables screened by logistic regression analysis showed that age,education level,monthly family income,degree of stroke injury,self-efficacy,coping style,social support and functional independence were all independent influencing factors for psychological pain in first-episode stroke patients(P＜0.05).The area under the receiver operating characteristic of the model was 0.912(95％CI was 0.705-0.943,P＜0.05),the sensitivity was 0.871,the specificity was 0.825,and the Youden index was 0.696.Conclusion The incidence of psychological pain in first-episode stroke patients is high,and there are many influencing factors.Building a column chart prediction model is beneficial for medical staff to identify and predict the risk of psychological pain in patients,providing guidance for timely preventive measures.
万方数据
维普
