Sleep Disorders in Patients with Severe COVID-19 Treated in the Intensive Care Unit: A Real-Life Descriptive Study in Vietnam.

BACKGROUND: Coronavirus disease 2019 (COVID-19) patients with sleep disorders may be at greater risk for respiratory exacerbation or death compared to those without. After being infected with COVID-19, patients have many symptoms related to sleep disorders, especially those with severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infection. This study aimed to evaluate sleep disturbances in patients with severe SARS-CoV-2 infection who were treated in the Intensive Care Unit (ICU). METHODS: This cross-sectional study used the questionnaire provided by the Vietnam Sleep Disorder Study (ViSDiS) research, elaborated by the Vietnam Society of Sleep Medicine (VSSM). Seventy-seven COVID-19 patients were included. RESULTS: There was a significant difference in sleep status before and after SARS-CoV-2 infection among participants. Up to 83% of them reported experiencing insomnia after illness, 60% reported having frequent nightmares, and more than half of participants reported nocturia (p < 0.0001). More than 81.8% of patients with severe SARS-CoV-2 infection were unsatisfied with their sleep quality during hospitalization After SARS-CoV-2 infection, only 2.6% of participants felt they had good quality sleep (p < 0.0001). The majority of patients suffered from fatigue after SARS-CoV-2 infection, including a lack of energy, feeling heaviness in their limbs, aggravation of pre-existing sleep disorders, idleness, constant fatigue throughout the day, and difficulty concentrating. CONCLUSION: Sleep problems are highly prevalence among hospitalized patients with severe COVID-19 in the ICU. Healthcare providers should pay attention to sleep problems and their associated symptoms to initiate appropriate treatment to improve severe COVID-19 patients' health status and minimize the risk of death.

The association of magnetic resonance imaging features with five molecular subtypes of breast cancer.

Objective: To identify the association of magnetic resonance imaging (MRI) features with molecular subtypes of breast cancer (BC). Materials and methods: A retrospective study was conducted on 112 invasive BC patients with preoperative breast MRI. The confirmed diagnosis and molecular subtypes of BC were based on the postoperative specimens. MRI features were collected by experienced radiologists. The association of MRI features of each subtype was compared to other molecular subtypes in univariate and multivariate logistic regression analyses. Results: The proportions of luminal A, luminal B HER2-negative, luminal B HER2-positive, HER2-enriched, and triple-negative BC were 14.3 %, 52.7 %, 12.5 %, 10.7 %, and 9.8 %, respectively. Luminal A was associated with hypo-isointensityon T2-weighted images (OR=6.214, 95 % CI: 1.163-33.215) and non-restricted diffusion on DWI-ADC (OR=6.694, 95 % CI: 1.172-38.235). Luminal B HER2-negative was related to the presence of mass (OR=7.245, 95 % CI: 1.760-29.889) and slow/medium initial enhancement pattern (OR=3.654, 95 % CI: 1.588-8.407). There were no associations between MRI features and luminal B HER2-positive. HER2-enriched tended to present as non-mass enhancement lesions (OR=20.498, 95 % CI: 3.145-133.584) with fast uptake in the initial postcontrast phase (OR=9.788, 95 % CI: 1.689-56.740), and distortion (OR=11.471, 95 % CI: 2.250-58.493). Triple-negative were associated with unifocal (OR=7.877, 95 % CI: 1.180-52.589), hyperintensityon T2-weighted images (OR=14.496, 95 % CI: 1.303-161.328), rim-enhanced lesions (OR=18.706, 95 % CI: 1.915-182.764), and surrounding tissue edema (OR=5.768, 95 % CI: 1.040-31.987). Conclusion: Each molecular subtype of BC has distinct features on breast MRI. These characteristics can serve as an adjunct to immunohistochemistry in diagnosing molecular subtypes, particularly in cases, where traditional methods yield equivocal results.