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    6% of patients reporting perfect health at baseline. ICCs for the index (0.80) and VAS (0.85) scores and weighted kappas for the domains (0.5-0.72) indicated adequate test-retest reliability. Correlations between the index/VAS scores and related domains of the SGRQ and 6MWT were as hypothesized (0.31-0.62), and the mean index/VAS scores were significantly different between the 6MWT and ppFEV

    known groups (p<0.05), supporting the validity of the EQ-5D-3L. No evidence was found supporting the responsiveness of the EQ-5D-3L to changes in any of the anchors.

    EQ-5D-3L exhibited evidence of validity and reliability but poor responsiveness to clinically meaningful changes in patients with MAC-LD.

    EQ-5D-3L exhibited evidence of validity and reliability but poor responsiveness to clinically meaningful changes in patients with MAC-LD.

    Sleep disturbances are frequent during pregnancy and postpartum. However, detailed research of sleep in couples during pregnancy and postpartum is lacking.

    Changes of sleep for primi- and multiparous pregnant women and their partners from late pregnancy to three months postpartum. The particular focus of this study is on sex differences in sleep, sleep problems, mutual sleep influence of couples, and the influences of parity and feeding methods on couples’ sleep.

    The sample included 69 pregnant couples in the last trimester of pregnancy (t1) and three months after birth (t2). Sleep was measured with sleep diary for both times of measurement. The Pittsburgh Sleep Quality Index (PSQI) assessed sleep disturbances. Other variables as parity and infant feeding type were determined by questionnaire. Besides results for woman and men, also dyadic data are calculated.

    Over the time women had a worse sleep quality than men. They had a prolonged sleep onset latency, higher frequency and longer duration of nightw the need of diagnosing and treating existing sleep problems in pregnancy to prevent future sleep problems postpartum.

    Periodic Limb Movements of Sleep (PLMS) is a poorly understood comorbidity with close association to Obstructive Sleep Apnea (OSA). The mechanistic link between the two is unclear. Devimistat chemical structure Recent studies on the latter have uncovered low respiratory arousal threshold as an important non-anatomical cause of the disorder. This study sought to investigate whether periodic limb movements are associated with the low respiratory arousal threshold (ArTH) in OSA.

    Retrospective data on 720 OSA patients (mean age = 47.0) who underwent Polysomnography (PSG) were collected. Using PLMS diagnostic criteria of PLMS index ≥ 15, patients were divided into the OSA-PLMS group (n=95) and the OSA-only group (n=625). Binary logistic regression analysis was used to examine the correlation between PLMS and the presence of low ArTH, classified using a predicted tool (developed by Edward et al) requiring meeting at least two of the three criteria apnea-hypopnea index (AHI) < 30/h, nadir oxygen saturation (SaO2) > 82.5%, and fraction of hypopneas > 58.3%. The resulting model was validated in the external MrOS database.

    The patients in the OSA-PLMS group tend to be older, with a higher prevalence of hypertension, diabetes, and stroke. PLMS was associated with age, diabetes, oxygen desaturation index, and low respiratory arousal threshold (OR=8.78 (4.73-16.30), p<0.001). When validated against the MrOS database, low ArTH remained a significant predictor of PLMS with an odds ratio of 1.33 (1.08-1.64,

    = 0.009).

    This is the first study that demonstrated a strong correlation between PLMS and low respiratory arousal threshold. This suggests a possible mechanistic link between the physical manifestation of PLMS and the non-anatomical low arousal threshold phenotype in OSA.

    This is the first study that demonstrated a strong correlation between PLMS and low respiratory arousal threshold. This suggests a possible mechanistic link between the physical manifestation of PLMS and the non-anatomical low arousal threshold phenotype in OSA.

    In the pandemic of COVID-19, due to asymptomatic patients and high personnel fluidity in outpatient clinics, health care workers (HCWs) in outpatients were facing severe threat from infection. There is an urgent need for a risk assessment to recognize and prevent infection risks.

    To establish a semi-quantitative risk assessment model on COVID-19 infections for HCWs in outpatient departments, and apply it to practices. Further to provide infection risk management strategies to reduce infection threats in the post-pandemic of COVID-19.

    We used the method of Brainstorm, Literature study and Analytic Hierarchy Process (AHP) for risk factors selection and model construction, we also created corresponding indicators for each risk factors, in order to collect data in assessment practice.

    Eighteen risk factors were recognized and selected for model construction, by scatter plot, these risk factors had been classified into four parts, spanned the scopes of diagnosis and treatment, environment, personal protection and emergency handling, with specific management suggestions provided. In the practice, outpatient clinics were divided into three risk levels, 5 clinics in high risk level, 9 in medium risk level and 11 in low risk level.

    A proper comprehensive risk assessment model for COVID-19 infections has been successfully established. With the model, the ability to COVID-19 prevention in outpatients can be easily evaluated. The strategies on disinfection, surveillance and personal protection were also valuable references in the post-pandemic of COVID-19.

    A proper comprehensive risk assessment model for COVID-19 infections has been successfully established. With the model, the ability to COVID-19 prevention in outpatients can be easily evaluated. The strategies on disinfection, surveillance and personal protection were also valuable references in the post-pandemic of COVID-19.

    Healthcare workers (HCWs) routinely experience occupational blood and body fluid exposure (OBBE), including percutaneous injury and splash exposure to non-intact skin. The objective of this study was to determine the prevalence of OBBE and identify associated risk factors.

    A cross-sectional study was performed on 334 HCWs at 9 workstations. Data were collected with a self-administered questionnaire that consisted of four parts sociodemographic variables, work-related information, knowledge about needle stick and sharps injury and splash exposure, and information regarding previous OBBE incidents. The data were analyzed by SPSS version 22.0 software.

    The prevalence of OBBE was 25.1% (95% confidence interval 20.6-30.2), mostly due to percutaneous injuries, which were not reported to authorities. The highest proportions were among nurses and those working in the medical ward. Needle recapping practices were associated with almost a four-times higher risk of OBBE compared to no-recapping practices. HCWs who did not have any infection prevention training had a three-times higher risk of OBBE.

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