Objectives Information on the recently COVID‐19‐associated pulmonary aspergillosis (CAPA) entity is scarce. We describe eight CAPA patients, compare them to colonised ICU patients with coronavirus disease 2019 (COVID‐19), and review the published literature from Western countries. Methods Prospective study (March to May, 2020) that included all COVID‐19 patients admitted to a tertiary hospital. Modified AspICU and European Organization for Research and Treatment of Cancer/Mycoses Study Group (EORTC/MSG) criteria were used. Results COVID‐19‐associated pulmonary aspergillosis was diagnosed in eight patients (3.3% of 239 ICU patients), mostly affected non‐immunocompromised patients (75%) with severe acute respiratory distress syndrome (ARDS) receiving corticosteroids. Diagnosis was established after a median of 15 days under mechanical ventilation. Bronchoalveolar lavage was performed in two patients with positive Aspergillus fumigatus cultures and galactomannan (GM) index. Serum GM was positive in 4/8 (50%). Thoracic CT scan findings fulfilled EORTC/MSG criteria in one case. Isavuconazole was used in 4/8 cases. CAPA‐related mortality was 100% (8/8). Compared with colonised patients, CAPA subjects were administered tocilizumab more often (100% vs. 40%, p = .04), underwent longer courses of antibacterial therapy (13 vs. 5 days, p = .008), and had a higher all‐cause mortality (100% vs. 40%, p = .04). We reviewed 96 similar cases from recent publications: 59 probable CAPA (also putative according modified AspICU), 56 putative cases and 13 colonisations according AspICU algorithm; according EORTC/MSG six proven and two probable. Overall, mortality in the reviewed series was 56.3%. Conclusions COVID‐19‐associated pulmonary aspergillosis must be considered a serious and potentially life‐threatening complication in patients with severe COVID‐19 receiving immunosuppressive treatment.

A new paradigm for data-driven, model-agnostic new physics searches at colliders is emerging, and aims to leverage recent breakthroughs in anomaly detection and machine learning. In order to develop and benchmark new anomaly detection methods within this framework, it is essential to have standard datasets. To this end, we have created the LHC Olympics 2020, a community challenge accompanied by a set of simulated collider events. Participants in these Olympics have developed their methods using an R&D dataset and then tested them on black boxes: datasets with an unknown anomaly (or not). Methods made use of modern machine learning tools and were based on unsupervised learning (autoencoders, generative adversarial networks, normalizing flows), weakly supervised learning, and semi-supervised learning. This paper will review the LHC Olympics 2020 challenge, including an overview of the competition, a description of methods deployed in the competition, lessons learned from the experience, and implications for data analyses with future datasets as well as future colliders.

ObjectivesThis study aimed to establish the association between timing and provision of palliative care (PC) and quality of end-of-life care indicators in a population of patients dying of cancer.SettingThis study uses linked cancer patient data from the National Cancer Registry, the electronic medical record system used in primary care (SystmOne) and the electronic medical record system used within a specialist regional cancer centre. The population resided in a single city in Northern England.ParticipantsRetrospective data from 2479 adult cancer decedents who died between January 2010 and February 2012 were registered with a primary care provider using the SystmOne electronic health record system, and cancer was certified as a cause of death, were included in the study.ResultsLinkage yielded data on 2479 cancer decedents, with 64.5% who received at least one PC event. Decedents who received PC were significantly more likely to die in a hospice (39.4% vs 14.5%, P<0.005) and less likely to die in hospital (23.3% vs 40.1%, P<0.05), and were more likely to receive an opioid (53% vs 25.2%, P<0.001). PC initiated more than 2 weeks before death was associated with avoiding a hospital death (≥2 weeks, P<0.001), more than 4 weeks before death was associated with avoiding emergency hospital admissions and increased access to an opioid (≥4 weeks, P<0.001), and more than 33 weeks before death was associated with avoiding late chemotherapy (≥33 weeks, no chemotherapy P=0.019, chemotherapy over 4 weeks P=0.007).ConclusionFor decedents with advanced cancer, access to PC and longer duration of PC were significantly associated with better end-of-life quality indicators.

Background:The need to improve coordination of care at end of life has driven electronic palliative care coordination systems implementation across the United Kingdom and internationally. No approaches for evaluating electronic palliative care coordination systems use in practice have been developed.Aim:This study outlines and applies an evaluation framework for examining how and when electronic documentation of advance care planning is occurring in end of life care services.Design:A pragmatic, formative process evaluation approach was adopted. The evaluation drew on the Project Review and Objective Evaluation methodology to guide the evaluation framework design, focusing on clinical processes.Setting/participants:Data were extracted from electronic palliative care coordination systems for 82 of 108 general practices across a large UK city. All deaths (n = 1229) recorded on electronic palliative care coordination systems between April 2014 and March 2015 were included to determine the proportion of all deaths recorded, median number of days prior to death that key information was recorded and observations about routine data use.Results:The evaluation identified 26.8% of all deaths recorded on electronic palliative care coordination systems. The median number of days to death was calculated for initiation of an electronic palliative care coordination systems record (31 days), recording a patient’s preferred place of death (8 days) and entry of Do Not Attempt Cardiopulmonary Resuscitation decisions (34 days). Where preferred and actual place of death was documented, these were matching for 75% of patients. Anomalies were identified in coding used during data entry on electronic palliative care coordination systems.Conclusion:This study reports the first methodology for evaluating how and when electronic palliative care coordination systems documentation is occurring. It raises questions about what can be drawn from routine data collected through electronic palliative care coordination systems and outlines considerations for future evaluation. Future evaluations should consider work processes of health professionals using electronic palliative care coordination systems.