Prognostic Tools in Patients with Advanced Cancer: A Systematic Review

Purpose: In 2005, the European Association for Palliative Care (EAPC) made recommendations for prognostic markers in advanced cancer. Since then, prognostic tools have been developed, evolved and validated. The aim of this systematic review was to examine the progress in the development and validation of prognostic tools. Methods: Medline, Embase Classic + and Embase were searched. Eligible studies met the following criteria: patients with incurable cancer; >18 years; original studies; population n>100; published after 2003. Descriptive and quantitative statistical analyses were performed. Results: Forty-nine studies were eligible, assessing seven prognostic tools across different care settings, primary cancer types and statistically assessed survival prediction. The (PPS) Palliative Performance Scale was the most studied (n=21,082), composed of 6 parameters (6 subjective), was externally validated and predicted survival. The Palliative Prognostic Score (PaP) composed of 6 parameters (4 subjective, 2 objective), the Palliative Prognostic Index (PPI) composed of 9 parameters (9 subjective), and the Glasgow Prognostic Score (GPS) composed of 2 parameters (2 objective), and were all externally validated in more than 2000 patients with advanced cancer and predicted survival. Conclusion: Various prognostic tools have been validated, but vary in their complexity, subjectivity and therefore clinical utility. The GPS would seem the most favourable as it uses only two parameters (both objective) and has prognostic value complementary to the gold standard measure, which is performance status. Further studies comparing all proven prognostic markers in a single cohort of patients with advanced cancer, are needed to determine the optimal prognostic tool

Experiences of coordinated care for people in the UK affected by rare diseases: cross-sectional survey of patients, carers, and healthcare professionals

BackgroundPoorly coordinated care can have major impacts on patients and families affected by rare conditions, with negative physical health, psychosocial and financial consequences. This study aimed to understand how care is coordinated for rare diseases in the United Kingdom.MethodsWe undertook a national survey in the UK involving 760 adults affected by rare diseases, 446 parents/carers of people affected by rare diseases, and 251 healthcare professionals who care for people affected by rare diseases.ResultsFindings suggested that a wide range of patients, parents and carers do not have coordinated care. For example, few participants reported having a care coordinator (12% patients, 14% parents/carers), attending a specialist centre (32% patients, 33% parents/carers) or having a care plan (10% patients, 44% parents/carers). A very small number of patients (2%) and parents/carers (5%) had access to all three—a care coordinator, specialist centre and care plan. Fifty four percent of patients and 33% of parents/carers reported access to none of these. On the other hand, a higher proportion of healthcare professionals reported that families with rare conditions had access to care coordinators (35%), specialist centres (60%) and care plans (40%).ConclusionsCare for families with rare conditions is generally not well coordinated in the UK, with findings indicating limited access to care coordinators, specialist centres and care plans. Better understanding of these issues can inform how care coordination might be improved and embrace the needs and preferences of patients and families affected by rare conditions

Co-ordinated care for people affected by rare diseases: the CONCORD mixed-methods study

This study found evidence of a lack of co-ordinated care for people affected by rare diseases, which could have negative impacts on the physical and mental health of patients and families

Determining crystal structures through crowdsourcing and coursework

We show here that computer game players can build high-quality crystal structures. Introduction of a new feature into the computer game Foldit allows players to build and real-space refine structures into electron density maps. To assess the usefulness of this feature, we held a crystallographic model-building competition between trained crystallographers, undergraduate students, Foldit players and automatic model-building algorithms. After removal of disordered residues, a team of Foldit players achieved the most accurate structure. Analysing the target protein of the competition, YPL067C, uncovered a new family of histidine triad proteins apparently involved in the prevention of amyloid toxicity. From this study, we conclude that crystallographers can utilize crowdsourcing to interpret electron density information and to produce structure solutions of the highest quality

Multiorgan MRI findings after hospitalisation with COVID-19 in the UK (C-MORE): a prospective, multicentre, observational cohort study

Introduction: The multiorgan impact of moderate to severe coronavirus infections in the post-acute phase is still poorly understood. We aimed to evaluate the excess burden of multiorgan abnormalities after hospitalisation with COVID-19, evaluate their determinants, and explore associations with patient-related outcome measures. Methods: In a prospective, UK-wide, multicentre MRI follow-up study (C-MORE), adults (aged ≥18 years) discharged from hospital following COVID-19 who were included in Tier 2 of the Post-hospitalisation COVID-19 study (PHOSP-COVID) and contemporary controls with no evidence of previous COVID-19 (SARS-CoV-2 nucleocapsid antibody negative) underwent multiorgan MRI (lungs, heart, brain, liver, and kidneys) with quantitative and qualitative assessment of images and clinical adjudication when relevant. Individuals with end-stage renal failure or contraindications to MRI were excluded. Participants also underwent detailed recording of symptoms, and physiological and biochemical tests. The primary outcome was the excess burden of multiorgan abnormalities (two or more organs) relative to controls, with further adjustments for potential confounders. The C-MORE study is ongoing and is registered with ClinicalTrials.gov, NCT04510025. Findings: Of 2710 participants in Tier 2 of PHOSP-COVID, 531 were recruited across 13 UK-wide C-MORE sites. After exclusions, 259 C-MORE patients (mean age 57 years [SD 12]; 158 [61%] male and 101 [39%] female) who were discharged from hospital with PCR-confirmed or clinically diagnosed COVID-19 between March 1, 2020, and Nov 1, 2021, and 52 non-COVID-19 controls from the community (mean age 49 years [SD 14]; 30 [58%] male and 22 [42%] female) were included in the analysis. Patients were assessed at a median of 5·0 months (IQR 4·2–6·3) after hospital discharge. Compared with non-COVID-19 controls, patients were older, living with more obesity, and had more comorbidities. Multiorgan abnormalities on MRI were more frequent in patients than in controls (157 [61%] of 259 vs 14 [27%] of 52; p<0·0001) and independently associated with COVID-19 status (odds ratio [OR] 2·9 [95% CI 1·5–5·8]; padjusted=0·0023) after adjusting for relevant confounders. Compared with controls, patients were more likely to have MRI evidence of lung abnormalities (p=0·0001; parenchymal abnormalities), brain abnormalities (p<0·0001; more white matter hyperintensities and regional brain volume reduction), and kidney abnormalities (p=0·014; lower medullary T1 and loss of corticomedullary differentiation), whereas cardiac and liver MRI abnormalities were similar between patients and controls. Patients with multiorgan abnormalities were older (difference in mean age 7 years [95% CI 4–10]; mean age of 59·8 years [SD 11·7] with multiorgan abnormalities vs mean age of 52·8 years [11·9] without multiorgan abnormalities; p<0·0001), more likely to have three or more comorbidities (OR 2·47 [1·32–4·82]; padjusted=0·0059), and more likely to have a more severe acute infection (acute CRP >5mg/L, OR 3·55 [1·23–11·88]; padjusted=0·025) than those without multiorgan abnormalities. Presence of lung MRI abnormalities was associated with a two-fold higher risk of chest tightness, and multiorgan MRI abnormalities were associated with severe and very severe persistent physical and mental health impairment (PHOSP-COVID symptom clusters) after hospitalisation. Interpretation: After hospitalisation for COVID-19, people are at risk of multiorgan abnormalities in the medium term. Our findings emphasise the need for proactive multidisciplinary care pathways, with the potential for imaging to guide surveillance frequency and therapeutic stratification