Abstract: Objective To investigate the latent profiles and influencing factors of learned helpless among primary caregivers of postoperative patients with type A aortic dissection. Methods A convenient sampling method was used to select primary caregivers of postoperative patients with type A aortic dissection from January 2022 to June 2023. A survey was conducted by the general data questionarie,Learned Helplessness Scale,Caregiver Preparedness Scale,and Mishel Uncertainty in Illness Scale-Family Member Form. The growth mixture model was used to identify the latent profiles and Logistic regression analysis was used to analyze the prediction factors of latent profiles. Results The learned helplessness scores of the primary caregivers of 350 patients with type A aortic dissection were（50.40±6.28）,which could be divided into three latent profiles：low helplessness and high despair group （12.57%）,high helplessness and low despair group（27.43%）,and high helplessness and high despair group （60.00%）.Logistic regression analysis showed that patient age,length of stay in ICU after surgery,caregiver gender,caregiver education level,caregiver family monthly income,number of caregivers,whether the caregiver was the main decision maker,and disease uncertainty were the influencing factors of learned helplessness latent profiles（P<0.05）. Conclusion There is heterogeneity in the learned helplessness among primary caregivers of postoperative patients with type A aortic dissection. Medical staff can conduct individualized intervention according to influencing factors of different latent profiles to reduce the learned helplessness of caregivers.

Key words: Learned Helpless, Type A Aortic Dissection, Primary Caregiver, Nursing Care, Latent Class Analysis, Root Cause Analysis