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Associating sleep problems with advanced cancer diagnosis, and immune checkpoint treatment outcomes: a pilot study
BACKGROUND: Sleep problems (SP) are common in cancer patients but have not been previously assessed in patients receiving immune checkpoint inhibitors (ICI). METHODS: We collected questionnaire data on sleep apnea risk, insomnia, and general sleep patterns. We used an adjusted multivariate Poisson r...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761099/ https://www.ncbi.nlm.nih.gov/pubmed/35034197 http://dx.doi.org/10.1007/s00520-022-06825-w |
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author | Sillah, Arthur Peters, Ulrike Watson, Nathaniel F. Tykodi, Scott S. Hall, Evan T. Silverman, Allison Malen, Rachel C. Thompson, John A. Lee, Sylvia M. Bhatia, Shailender Veatch, Joshua Warner, Jeannie Thornton, Timothy Phipps, Amanda I. |
author_facet | Sillah, Arthur Peters, Ulrike Watson, Nathaniel F. Tykodi, Scott S. Hall, Evan T. Silverman, Allison Malen, Rachel C. Thompson, John A. Lee, Sylvia M. Bhatia, Shailender Veatch, Joshua Warner, Jeannie Thornton, Timothy Phipps, Amanda I. |
author_sort | Sillah, Arthur |
collection | PubMed |
description | BACKGROUND: Sleep problems (SP) are common in cancer patients but have not been previously assessed in patients receiving immune checkpoint inhibitors (ICI). METHODS: We collected questionnaire data on sleep apnea risk, insomnia, and general sleep patterns. We used an adjusted multivariate Poisson regression to calculate prevalence ratios (PRs) and associated 95% confidence intervals (CIs) for associations between these SP and metastatic versus localized cancer stage (M1 vs. M0), and adjusted logistic regression models to calculate ORs for associations between SP with the number of ICI infusions completed (6 + vs. < 6). RESULTS: Among 32 patients who received ICI treatment, the prevalence of low, intermediate, and high-risk OSA risk was 36%, 42%, and 21%, respectively. Overall, 58% of participants reported clinically significant insomnia. We did not find a significant association between intermediate or high risk OSA (vs. low risk) and metastatic cancer status (PR = 1.01 (95% CI: 0.28, 3.67)). Patients in the cohort who reported taking > 15 min to fall asleep were 3.6 times more likely to be diagnosed with metastatic cancer compared to those reporting shorter sleep latency (95% CI (1.74, 7.35)). We did not find a significant association between SP and number of ICI infusions completed. CONCLUSION: Our data associating sleep apnea risk, insomnia, and sleep patterns with more advanced cancer encourages further exploration in larger-scale observational studies and suggests interventional clinical trials focused on sleep quality improvement that could result in better outcomes for these patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00520-022-06825-w. |
format | Online Article Text |
id | pubmed-8761099 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-87610992022-01-18 Associating sleep problems with advanced cancer diagnosis, and immune checkpoint treatment outcomes: a pilot study Sillah, Arthur Peters, Ulrike Watson, Nathaniel F. Tykodi, Scott S. Hall, Evan T. Silverman, Allison Malen, Rachel C. Thompson, John A. Lee, Sylvia M. Bhatia, Shailender Veatch, Joshua Warner, Jeannie Thornton, Timothy Phipps, Amanda I. Support Care Cancer Original Article BACKGROUND: Sleep problems (SP) are common in cancer patients but have not been previously assessed in patients receiving immune checkpoint inhibitors (ICI). METHODS: We collected questionnaire data on sleep apnea risk, insomnia, and general sleep patterns. We used an adjusted multivariate Poisson regression to calculate prevalence ratios (PRs) and associated 95% confidence intervals (CIs) for associations between these SP and metastatic versus localized cancer stage (M1 vs. M0), and adjusted logistic regression models to calculate ORs for associations between SP with the number of ICI infusions completed (6 + vs. < 6). RESULTS: Among 32 patients who received ICI treatment, the prevalence of low, intermediate, and high-risk OSA risk was 36%, 42%, and 21%, respectively. Overall, 58% of participants reported clinically significant insomnia. We did not find a significant association between intermediate or high risk OSA (vs. low risk) and metastatic cancer status (PR = 1.01 (95% CI: 0.28, 3.67)). Patients in the cohort who reported taking > 15 min to fall asleep were 3.6 times more likely to be diagnosed with metastatic cancer compared to those reporting shorter sleep latency (95% CI (1.74, 7.35)). We did not find a significant association between SP and number of ICI infusions completed. CONCLUSION: Our data associating sleep apnea risk, insomnia, and sleep patterns with more advanced cancer encourages further exploration in larger-scale observational studies and suggests interventional clinical trials focused on sleep quality improvement that could result in better outcomes for these patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00520-022-06825-w. Springer Berlin Heidelberg 2022-01-16 2022 /pmc/articles/PMC8761099/ /pubmed/35034197 http://dx.doi.org/10.1007/s00520-022-06825-w Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Sillah, Arthur Peters, Ulrike Watson, Nathaniel F. Tykodi, Scott S. Hall, Evan T. Silverman, Allison Malen, Rachel C. Thompson, John A. Lee, Sylvia M. Bhatia, Shailender Veatch, Joshua Warner, Jeannie Thornton, Timothy Phipps, Amanda I. Associating sleep problems with advanced cancer diagnosis, and immune checkpoint treatment outcomes: a pilot study |
title | Associating sleep problems with advanced cancer diagnosis, and immune checkpoint treatment outcomes: a pilot study |
title_full | Associating sleep problems with advanced cancer diagnosis, and immune checkpoint treatment outcomes: a pilot study |
title_fullStr | Associating sleep problems with advanced cancer diagnosis, and immune checkpoint treatment outcomes: a pilot study |
title_full_unstemmed | Associating sleep problems with advanced cancer diagnosis, and immune checkpoint treatment outcomes: a pilot study |
title_short | Associating sleep problems with advanced cancer diagnosis, and immune checkpoint treatment outcomes: a pilot study |
title_sort | associating sleep problems with advanced cancer diagnosis, and immune checkpoint treatment outcomes: a pilot study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761099/ https://www.ncbi.nlm.nih.gov/pubmed/35034197 http://dx.doi.org/10.1007/s00520-022-06825-w |
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