Clinical and Genetic Factors Associated With the Breast Cancer-Related Sleep Disorders: The 'CAGE-Sleep' Study-A Cross-Sectional Study

Autor: Joseph Kattan, F. Nasr, Georges Chahine, Aline Hajj, Fady El Karak, Souheil Hallit, Roula El Hachem, Lydia Rabbaa Khabbaz, Rita Khoury, Tamara Nehme
Rok vydání: 2020
Předmět:
Zdroj: Journal of pain and symptom management. 62(3)
ISSN: 1873-6513
Popis: Context Despite being among the most reported concerns in breast cancer patients, sleep disturbances are still poorly assessed and managed in routine clinical practice. Correctly evaluating these symptoms and understanding the underlying clinical and genetic factors would help medical teams develop an adequate treatment strategy for each patient. Objectives 1) To explore the severity of insomnia as well as sleep quality in a sample of Lebanese women with breast cancer undergoing chemotherapy; 2) To examine the correlation between sociodemographic, clinical, psychiatric (anxiety and depression), genetic factors, and alterations in sleep patterns. Methods A cross-sectional study was carried out using the Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI) (December 2017–June 2019; Ethical reference number: CEHDF1016). All patients gave their written consent and were genotyped for several polymorphisms in CLOCK, CRY2, PER2, COMT, DRD2, OPRM1, and ABCB1 genes using Lightcycler® (Roche). Results Our sample included a total of 112 women. Almost half of the patients reported insomnia problems (with 20.5% moderate insomnia and 7.1% severe insomnia). Multivariable analyses taking the PSQI score as the dependent variable, showed that higher depression score and dyslipidemia (yes versus no) were significantly associated with higher PSQI scores (worse sleep quality), whereas having the DRD2 CT genotype versus CC and a higher chemotherapy cycle number were significantly associated with lower PSQI scores (better sleep quality). Depression was also significantly associated with higher ISI scores. When forcing all the genes in each model, the results remained the same except for depression that has been replaced by anxiety in the multivariable analysis. Conclusion Our study confirms the relationship between anxiety/depression, cycle number, dyslipidemia and DRD2 polymorphism with insomnia and highlights the importance of treating all associated factors to improve the overall QOL of patients.
Databáze: OpenAIRE