Association of sleep duration and quality with immunological response after vaccination against severe acute respiratory syndrome coronavirus-2 infection.

Growing evidence suggests that sleep could affect the immunological response after vaccination. The aim of this prospective study was to investigate possible associations between regular sleep disruption and immunity response after vaccination against coronavirus disease 2019 (COVID-19). In total, 592 healthcare workers, with no previous history of COVID-19, from eight major Greek hospitals were enrolled in this study. All subjects underwent two Pfizer-BioNTech messenger ribonucleic acid (mRNA) COVID-19 vaccine BNT162b2 inoculations with an interval of 21 days between the doses. Furthermore, a questionnaire was completed 2 days after each vaccination and clinical characteristics, demographics, sleep duration, and habits were recorded. Blood samples were collected and anti-spike immunoglobulin G antibodies were measured at 20 ± 1 days after the first dose and 21 ± 2 days after the second dose. A total of 544 subjects (30% males), with median (interquartile range [IQR]) age of 46 (38-54) years and body mass index of 24·84 (22.6-28.51) kg/m2 were eligible for the study. The median (IQR) habitual duration of sleep was 6 (6-7) h/night. In all, 283 participants (52%) had a short daytime nap. In 214 (39.3%) participants the Pittsburgh Sleep Quality Index score was >5, with a higher percentage in women (74·3%, p < 0.05). Antibody levels were associated with age (r = -0.178, p < 0.001), poor sleep quality (r = -0.094, p < 0.05), insomnia (r = -0.098, p < 0.05), and nap frequency per week (r = -0.098, p < 0.05), but after adjusting for confounders, only insomnia, gender, and age were independent determinants of antibody levels. It is important to emphasise that insomnia is associated with lower antibody levels against COVID-19 after vaccination.

Prediction of hospitalization stay in COPD exacerbations: the AECOPD-F score.

BACKGROUND: Hospital admissions for COPD exacerbations account for 70% of total costs of COPD treatment, and the duration of hospital stay is directly related to this cost. The aim of this study was to investigate possible associations of demographic, clinical, laboratory, and functional parameters with stay of subjects admitted for COPD exacerbations and to provide a score for the prediction of the need for prolonged hospitalization. METHODS: We included 164 consecutive subjects admitted to 2 respiratory medicine departments of 2 tertiary hospitals for a COPD exacerbation, and we evaluated laboratory, clinical, and functional parameters possibly related to the duration of hospital stay. RESULTS: Seven parameters evaluated on subject admission (Antonisen type of exacerbation, number of Exacerbations in the previous year, Charlson index of comorbidities, Oxygenation, Partial pressure of P(aCO2) in arterial blood gases, Dyspnea according to the Borg dyspnea scale, and history of chronic respiratory Failure) were able to predict stay and were included in a simple score named AECOPD-F. The area under the curve of the score for the prediction of prolonged hospital stay is 0.960, and a cutoff point ≥ 3 predicts prolonged stay with a sensitivity of 84.5% and a specificity of 92.5% (95% CI 0.917-0.984). The AECOPD-F score was validated in a second group of 88 subjects admitted to the hospital for a COPD exacerbation. In the validation group, subjects with a score ≥ 3 required prolonged stay compared with those with a score < 3 (8.0 [6.0-10.0] vs 6.5 [4.0-9.0] d, respectively, P = .007). CONCLUSION: The AECOPD-F score could accurately predict stay in hospitalized COPD subjects. The implementation of this score in clinical practice could be useful in the discharge planning of such subjects.