To explore the dynamic sleep quality trajectories and analyze the influencing factors in postoperative patients with cervical spondylotic myelopathy.

A total of 244 postoperative patients with cervical spondylotic myelopathy in our hospital were selected as the study subjects by convenience sampling from August 2023 to August 2024.The Chinese version of the Pittsburgh Sleep Quality Index(PSQI) was used to assess sleep quality of patients at baseline,1 week,1 month,and 3 months after operation.Latent class growth modeling was employed to analyze the classification of sleep quality trajectories.Univariate analysis and Logistic regression analysis were used to explore the influencing factors of the trajectories.

The sleep quality trajectories of the 244 postoperative patients with cervical spondylotic myelopathy could be categorized into 3 categories,namely high quality-improving type(65 cases,26.6%),low quality-improving type(109 cases,44.7%),and low quality-declining type(70 cases,28.7%).Logistic regression analysis showed that age,monthly per-capita household income,preoperative disease duration,number of involved spinal segments,preoperative Chinese version of Japanese Orthopaedic Association(JOA) score,preoperative Visual Analogue Scale(VAS) score,preoperative Self-Rating Depression Scale(SDS) score,and preoperative Self-Rating Anxiety Scale(SAS) score were all influencing factors for the sleep quality trajectories in postoperative patients wtih cervical spondylotic myelopathy(P<0.05).

There is certain heterogeneity in the sleep quality trajectories in postoperative patients with cervical spondylotic myelopathy,which are influenced by multiple factors.It suggests that healthcare professionals can predict postoperative sleep quality trajectories of patients based on these influencing factors and develop personalized nursing plans to improve patient's sleep quality.