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Energetic Excimer (DYNEX) Imaging of Lipid Drops.
001), whereas all-cause mortality did not significantly differ among the groups. In the multivariable Cox proportional hazard analysis, rEF (vs pEF) was not a predictor of all-cause mortality, but an independent predictor of increased cardiac event rates (HR 1.424, 95% CI 1.020 to 1.861, p=0.039). Conclusion An initial assessment of LVEF and LVEF changes are important for deciding treatment and predicting prognosis in HFpEF patients. In addition, several confounding factors are associated with LVEF changes in worsened HFpEF patients. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.Objective This study aims to investigate the time-dependent prognostic utility of two fibrosis markers representing organ fibrogenesis (N-terminal propeptide of procollagen III (PIIINP) and type IV collagen 7S (P4NP 7S)) in patients with acute heart failure (HF). Methods 390 patients with acute HF were dichotomised based on the median value of fibrosis markers at discharge. The primary outcome measure was a composite of cardiac death and HF hospitalisation. Results P4NP 7S significantly declined during hospitalisation, whereas PIIINP did not. The cumulative 90-day and 365-day incidence of the primary outcome measure was 16.6% vs 16.0% (p=0.42) and 33.3% vs 28.4% (p=0.34) in the patients with high versus low PIIINP; 19.9% vs 13.0% (p=0.04) and 32.3% vs 29.0% (p=0.34) in the patients with high and low P4NP 7S, respectively. After adjusting for confounders, high P4NP 7S correlated with significant excess risk relative to low P4NP 7S for both 90-day and 365-day primary outcome measure (adjusted HR, 1.50; 95% CI, 1.02 to 2.21; p=0.04 and adjusted HR, 1.89; 95% CI, 1.11 to 3.26; p=0.02, respectively), which was driven by significant association of high P4NP 7S with higher incidence of HF hospitalisation. Furthermore, P4NP 7S exhibited an additive value to conventional prognostic factors for predicting 90-day outcome (p=0.038 for net reclassification improvement; p=0.0068 for integrated discrimination improvement). High PIIINP did not correlate with significant excess risk for both 90-day and 365-day outcome. Conclusions This study suggests a possible role of P4NP 7S in the risk stratification of patients with acute HF. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.The novel coronavirus disease 2019 (COVID-19) is spreading in Japan. We have collected a total of 26 patients with COVID-19 who required extracorporeal membranous oxygenation (ECMO). The available data from the first 14 cases demonstrated that the median age of patients was 71 and the median PaO2/FIO2 ratio, positive end-expiratory pressure, mean airway pressure, and lung compliance were 70, 15 cmH2O, 21 cmH2O, and 28 mL/cmH2O, respectively. Median serum KL-6 level was 333 U/mL. Consequently, 16 (62%) out of the 26 have been weaned off and 6 (26%) have been extubated and on rehabilitation, while the other 10 (38%) remain on ECMO. There seemed to be two phenotypes of COVID-19 one with impaired lung compliance and one with preserved lung compliance. The latter phenotype was likely to be favored from the use of ECMO. learn more Further investigation is necessary to clasrify the optimal use of ECMO in patients with COVID-19. © The Author(s) 2020.in English, French Résumé Contexte Un mauvais sommeil a été associé à plusieurs issues néfastes pour la santé. De récentes études suggèrent que les heures de coucher tardives, des durées de sommeil courtes ou longues, et une mauvaise qualité de sommeil altèrent la qualité du sperme. Aucune étude n’a à ce jour exploré les trois facteurs en relation avec la qualité du sperme. Résultats Cent quatre hommes et leurs partenaires traités dans trois cliniques de fertilité au Danemark entre 2010 et 2012 ont rempli un questionnaire correspondant à une version en ligne de l’Indice de Qualité du Sommeil de Pittsburg (IQSP). Les résultats des analyses de sperme réalisées dans les cliniques de fertilité ont été autodéclarés et classés comme normaux ou réduits.Une heure de coucher précoce ( less then  22 h30) était plus souvent associée à une qualité normale du sperme comparativement à la fois à une heure régulière (22 h30-23 h29) et à une heure tardive (≥23 h30) de coucher (OR 2.75, 95% CI 1.1–7.1, p = 0.04 et OR 3.97, 95% CI 1.2–13.5, p = 0.03). Une durée conventionnelle de sommeil (7.5–7.99 heures) était plus souvent associée à une qualité normale du sperme qu’une courte (7.0–7.49 heures) et qu’une très courte ( less then  7.0 heures) durée de sommeil (OR 1.36, 95% CI 1.2–12.9, p = 0.03 et OR 6.18, 95% CI 1.6–24.2, p = 0.01). Bien qu’une mauvaise qualité du sommeil ait été associée à une qualité réduite du sperme dans les statistiques descriptives (p = 0.04), aucune différence n’a été retrouvée entre une qualité du sommeil optimale (IQSP ≤6) et une qualité soit limite (IQSP 7–8) ou soit pauvre (IQSP ≥9) du sommeil (OR 1.19, 95% CI 0.4–3.4, p = 0.75 et OR 2.43, 95% CI 0.8–7.1, p = 0.11) dans les modèles de régression multivariée. Conclusions Des heures de coucher précoces ( less then  22 h30) et une durée conventionnelle de sommeil (7.5–7.99 heures) ont été associées à une qualité normale autodéclarée du sperme. Un éventuel rôle de la qualité suggestive du sommeil reste incertain.Background Human activities have profoundly altered the spatio-temporal availability of food resources. Yet, there is a clear lack of knowledge on how opportunistic species adapt to these new circumstances by scheduling their daily rhythms and adjust their foraging decisions to predicable patterns of anthropic food subsidies. Here, we used nearly continuous GPS tracking data to investigate the adaptability of daily foraging activity in an opportunistic predator, the yellow-legged gull (Larus michahellis), in response to human schedules. Methods By using waveform analysis, we compared timing and magnitude of peaks in daily activity of different GPS-tracked individuals in eleven different habitat types, in relation to type of day (i.e., weekday vs. weekend). Results Daily activity rhythms varied greatly depending on whether it was a weekday or weekend, thus suggesting that gulls' activity peaks matched the routines of human activity in each habitat type. We observed for the first time two types of activity as modelled by waveforms analysis marine habitats showed unimodal patterns with prolonged activity and terrestrial habitats showed bimodal patterns with two shorter and variable activity peaks.
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