Adaptive intelligence applied to numerical optimisation

The article presents modification strategies theoretical comparison and experimental results achieved by adaptive heuristics applied to numerical optimisation of several non-constraint test functions. The aims of the study are to identify and compare how adaptive search heuristics behave within heterogeneous search space without retuning of the search parameters. The achieved results are summarised and analysed, which could be used for comparison to other methods and further investigation

Prior Routine use of Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) and Important Outcomes in Hospitalised Patients with COVID-19

Acknowledgments: We gratefully acknowledge the collaborators of the study listed below: Ross Alexander, Emma Bhatti, Carly Bisset, Alice Cavenagh, Jemima Collins, Charlotte Davey, Siobhan Duffy, Jenny Edwards, Alice G Einarsson, Norman Galbraith, Madeline Garcia, James Hesford, Mark Holloway, Tarik Jichi, Joanna Kelly, Sheila Jones, Thomas Kneen, Thomas Lee, Kiah Lunstone, Emma Mitchell, Dolcie Paxton, Lyndsay Pearce, Terence J Quinn, Frances Rickard, Shefali Sangani, Rebecca Simmons, Sandeep Singh, Charlotte Silver, Thomas Telford, Alessia Verduri.Peer reviewedPublisher PD

Multiple House Occupancy is Associated with Mortality in Hospitalised Patients with Covid-19

Acknowledgement We acknowledge the dedication, commitment, and sacrifice of the staff from participating centres across UK and Italy, two amongst the most severely affected countries in Europe. We gratefully acknowledge the contribution of our collaborators, National Institute of Health Research (NIHR) Health Research Authority (HRA) in the UK and Ethics Committee of Policlinico Hospital Modena, which provided rapid approval of COPE study and respective Institutions’ Research and Development Offices and Caldicott Guardians for their assistance and guidance. We also thank COPE Study Sponsor, Cardiff University, Wales, UK.Peer reviewedPublisher PD

Study protocol for the COPE study: COVID-19 in Older People : the influence of frailty and multimorbidity on survival. A multi-centre, European observational study

Funding: The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.Peer reviewe

The effect of frailty on survival in patients with COVID-19 (COPE) : a multicentre, European, observational cohort study

Peer reviewedPublisher PD

Routine Use of Immunosuppressants is Associated with Mortality in Hospitalised Patients with Covid-19

Acknowledgement We acknowledge the dedication, commitment, and sacrifice of the staff from participating centres across UK and Italy, two among the most severely affected countries in Europe. We gratefully acknowledge the contribution of our collaborators, National Institute of Health Research (NIHR), Health Research Authority (HRA) in the UK and Ethics Committee of Policlinico Hospital Modena, which provided rapid approval of COPE study and respective Institutions’ Research and Development Offices and Caldicott Guardians for their assistance and guidance. We also thank COPE Study Sponsor, Cardiff University, Wales, UK.Peer reviewedPublisher PD

The effect of frailty on survival in patients with COVID-19 (COPE): a multicentre, European, observational cohort study

Background The COVID-19 pandemic has placed unprecedented strain on health-care systems. Frailty is being used in clinical decision making for patients with COVID-19, yet the prevalence and effect of frailty in people with COVID-19 is not known. In the COVID-19 in Older PEople (COPE) study we aimed to establish the prevalence of frailty in patients with COVID-19 who were admitted to hospital and investigate its association with mortality and duration of hospital stay. Methods This was an observational cohort study conducted at ten hospitals in the UK and one in Italy. All adults (≥18 years) admitted to participating hospitals with COVID-19 were included. Patients with incomplete hospital records were excluded. The study analysed routinely generated hospital data for patients with COVID-19. Frailty was assessed by specialist COVID-19 teams using the clinical frailty scale (CFS) and patients were grouped according to their score (1–2=fit; 3–4=vulnerable, but not frail; 5–6=initial signs of frailty but with some degree of independence; and 7–9=severe or very severe frailty). The primary outcome was in-hospital mortality (time from hospital admission to mortality and day-7 mortality). Findings Between Feb 27, and April 28, 2020, we enrolled 1564 patients with COVID-19. The median age was 74 years (IQR 61–83); 903 (57·7%) were men and 661 (42·3%) were women; 425 (27·2%) had died at data cutoff (April 28, 2020). 772 (49·4%) were classed as frail (CFS 5–8) and 27 (1·7%) were classed as terminally ill (CFS 9). Compared with CFS 1–2, the adjusted hazard ratios for time from hospital admission to death were 1·55 (95% CI 1·00–2·41) for CFS 3–4, 1·83 (1·15–2·91) for CFS 5–6, and 2·39 (1·50–3·81) for CFS 7–9, and adjusted odds ratios for day-7 mortality were 1·22 (95% CI 0·63–2·38) for CFS 3–4, 1·62 (0·81–3·26) for CFS 5–6, and 3·12 (1·56–6·24) for CFS 7–9. Interpretation In a large population of patients admitted to hospital with COVID-19, disease outcomes were better predicted by frailty than either age or comorbidity. Our results support the use of CFS to inform decision making about medical care in adult patients admitted to hospital with COVID-19

Comparison between first and second wave of COVID-19 outbreak in older people. The COPE multicentre European observational cohort study

Background: Effective shielding measures and virus mutations have progressively modified the disease between the waves, likewise health care systems have adapted to the outbreak. Our aim was to compare clinical outcomes for older people with COVID-19 in Wave 1 (W1) and 2 (W2). Methods: All data, including the Clinical Frailty Scale (CFS), were collected for COVID-19 consecutive patients, aged ≥65, from thirteen hospitals, in W1 (February-June 2020) and W2 (October 2020-March 2021). The primary outcome was mortality (time to mortality and 28-day mortality). Data were analysed with multilevel Cox proportional hazards, linear and logistic regression models, adjusted for wave baseline demographic and clinical characteristics. Results: Data from 611 people admitted in W2 were added to and compared with data collected during W1 (N = 1340). Patients admitted in W2 were of similar age, median [IQR], W2 = 79 [73-84]; W1 = 80 [74-86]; had a greater proportion of men (59.4% vs 53.0%); had lower 28-day mortality (29.1% vs 40.0%), compared to W1. For combined W1-W2 sample, W2 was independently associated with improved survival: time-to-mortality aHR= 0.78 (95%CI 0.65-0.93), 28-day mortality aOR = 0.80 (95%CI 0.62-1.03). W2 was associated with increased length of hospital stay aHR = 0.69 (95%CI 0.59-0.81). Patients in W2 were less frail, CFS (adjusted mean difference [aMD]=-0.50, 95%CI -0.81, -0.18), as well as presented with lower CRP (aMD=-22.52, 95%CI -32.00, -13.04). Conclusions: COVID-19 older adults in W2 were less likely to die than during W1. Patients presented to hospital during W2 were less frail and with lower disease severity and less likely to have renal decline