Sleep Quality and Its Determinants Among Patients with Metastatic Cancer Treated with Immune Checkpoint Inhibitors: A Two-Center Cross-Sectional Study
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background and Objectives: Sleep disturbance (SD) is common among cancer patients and may be influenced by immune-related mechanisms during immune checkpoint inhibitor (ICI) therapy. This study evaluated the prevalence and predictors of SD in patients receiving ICIs. Materials and Methods: This retrospective, two-center study included 187 patients with advanced or metastatic cancers. Sleep quality was assessed at three months using the Pittsburgh Sleep Quality Index (PSQI). Patients were categorized as having no SD (PSQI ≤ 5) or SD (PSQI > 5). Logistic regression analyses identified predictors of SD. Results: Clinically relevant SD was observed in 97 patients (51.9%), with a mean PSQI score of 7.54 ± 5.39. The most affected PSQI components were SD (1.33 ± 1.05) and daytime dysfunction (1.21 ± 1.04). In univariate analyses, Eastern Cooperative Oncology Group (ECOG) performance status ≥ 1 (Odds ratio [OR]: 3.29, 95% confidence interval [CI] 1.77–6.08, p < 0.001), second-line or beyond therapy (OR: 3.76, 95% CI 1.92–7.34, p < 0.001), ≥ 2 metastatic sites (OR: 2.69, 95% CI 1.47–4.92, p = 0.001), and ≥6 ICI cycles (OR: 1.85, 95% CI 1.04–3.32, p = 0.036) were associated with SD. In multivariate analysis, ECOG ≥ 1 (OR: 2.33, 95% CI 1.17–4.62, p = 0.015), second-line or beyond therapy (OR: 2.43, 95% CI 1.14–5.16, p = 0.021), and ≥ 2 metastatic sites (OR: 2.10, 95% CI 1.06–4.16, p = 0.032) remained independent predictors. Conclusions: Over half of patients treated with ICIs experienced SD. Poor performance status, advanced disease burden, and later-line therapy independently predicted impaired sleep, supporting the routine assessment of sleep during ICIs.
Source: Medicina
Language: English
Topic: Sleep and related disorders
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,654
Funder: Abant Izzet Baysal Üniversitesi
OpenAlex ID: W4416913174
