COVID-19 Data Imputation by Multiple Function-on-Function Principal Component Regression

The aim of this paper is the imputation of missing data of COVID-19 hospitalized and intensive care curves in several Spanish regions. Taking into account that the curves of cases, deceases and recovered people are completely observed, a function-on-function regression model is proposed to estimate the missing values of the functional responses associated with hospitalized and intensive care curves. The estimation of the functional coefficient model in terms of principal components’ regression with the completely observed data provides a prediction equation for the imputation of the unobserved data for the response. An application with data from the first wave of COVID-19 in Spain is developed after properly homogenizing, registering and smoothing the data in a common interval so that the observed curves become comparable. Finally, Canonical Correlation Analysis is performed on the functional principal components to interpret the relationship between hospital occupancy rate and illness response variables.MTM2017-88708-P of the Spanish Ministry of Science, Innovation and Universities (also supported by the FEDER program)FQM-307 of the Government of Andalusia (Spain)Ph.D. grant (FPU18/01779

Meta-analysis of hemodynamic optimization: relationship to methodological quality

INTRODUCTION: To review systematically the effect of interventions aimed at hemodynamic optimization and to relate this to the quality of individual published trials. METHODS: A systematic, computerized bibliographic search of published studies and citation reviews of relevant studies was performed. All randomized clinical trials in which adult patients were included in a trial deliberately aiming at an optimized or maximized hemodynamic condition of the patients (with oxygen delivery, cardiac index, oxygen consumption, mixed venous oxygen saturation and/or stroke volume as end-points) were selected. A total of 30 studies were selected for independent review. Two reviewers extracted data on population, intervention, outcome and methodological quality. Agreement between reviewers was high: differences were eventually resolved by third-party decision. The methodological quality of the studies was moderate (mean 9.0, SD 1.7), and the outcomes of the randomized clinical trials were not related to their quality. RESULTS: Efforts to achieve an optimized hemodynamic condition resulted in a decreased mortality rate (relative risk ratio (RR) 0.75 (95% confidence interval (CI) 0.62 to 0.90) in all studies combined. This was due to a significantly decreased mortality in peri-operative intervention studies (RR 0.66 (95% CI 0.54 to 0.81). Overall, patients with sepsis and overt organ failure do not benefit from this method (RR 0.92 (95% CI 0.75 to 1.11)). CONCLUSION: This systematic review showed that interventions aimed at hemodynamic optimization reduced mortality. In particular, trials including peri-operative interventions aimed at the hemodynamic optimization of high-risk surgical patients reduce mortality. Overall, this effect was not related to the trial quality

An international sepsis survey: a study of doctors' knowledge and perception about sepsis

BACKGROUND: To be able to diagnose and treat sepsis better it is important not only to improve the knowledge about definitions and pathophysiology, but also to gain more insight into specialists' perception of, and attitude towards, the current diagnosis and treatment of sepsis. METHODS: The study was conducted as a prospective, international survey by structured telephone interview. The subjects were intensive care physicians and other specialist physicians caring for intensive care unit (ICU) patients. RESULTS: The 1058 physicians who were interviewed (including 529 intensivists) agreed that sepsis is a leading cause of death on the ICU and that the incidence of sepsis is increasing, but that the symptoms of sepsis can easily be misattributed to other conditions. Physicians were concerned that this could lead to under-reporting of sepsis. Two-thirds (67%) were concerned that a common definition is lacking and 83% said it is likely that sepsis is frequently missed. Not more than 17% agreed on any one definition. CONCLUSION: There is a general awareness about the inadequacy of the current definitions of sepsis. Physicians caring for patients with sepsis recognise the difficulty of defining and diagnosing sepsis and are aware that they miss the diagnosis frequently

Prediction of cardiovascular disease risk by cardiac biomarkers in 2 United Kingdom cohort studies: does utility depend on risk thresholds for treatment?

We tested the predictive ability of cardiac biomarkers N-terminal pro B-type natriuretic peptide (NT-proBNP), high-sensitivity troponin T, and midregional pro adrenomedullin for cardiovascular disease (CVD) events using the British Regional Heart Study (BRHS) of men aged 60 to 79 years, and the MIDSPAN Family Study (MFS) of men and women aged 30 to 59 years. They included 3757 and 2226 participants, respectively, and during median 13.0 and 17.3 years follow-up the primary CVD event rates were 16.6 and 5.3 per 1000 patient-years, respectively. In Cox models adjusted for basic classical risk factors, 1 SD increases in log-transformed NT-proBNP, high-sensitivity troponin T, and midregional pro adrenomedullin were generally associated with increased primary CVD risk in both the studies (P<0.006) except midregional pro adrenomedullin in MFS (P=0.10). In BRHS, QRISK2 risk factors yielded a C-index of 0.657, which was improved by 0.017 (P=0.005) by NT-proBNP, but not by other biomarkers. Using 28% 14-year risk as a proxy for 20% 10-year risk, NT-proBNP improved risk classification for primary CVD cases (case net reclassification index, 5.9%; 95% confidence interval, 2.8%–9.2%), but only improved classification of noncases at a 14% 14-year risk threshold (4.6%; 2.9%–6.3%). In MFS, ASSIGN risk factors yielded a C-index of 0.752 for primary CVD; none of the cardiac biomarkers improved the C-index. Improvements in risk classification were only seen using NT-proBNP and high-sensitivity troponin T among cases using the 28% 14-year risk threshold (4.7%; 1.0%–9.2% and 2.6%; 0.0%–5.8%, respectively). In conclusion, the improvement in treatment allocation gained by adding cardiac biomarkers to risk scores seems to depend on the risk threshold chosen for commencing preventative treatments

Management Joy

An artist monograph that brings together three bodies of Beagles & Ramsay artwork made between 2018 - 2019, along with two essays by Dr Stephen Wilson and Simon Buckley

Early lens extraction with intraocular lens implantation for the treatment of primary angle closure glaucoma:An economic evaluation based on data from the EAGLE trial

This study was funded by the UK Medical Research Council (ref G0701604), and managed by the National Institute for Health Research (NIHR-EME 09-800-26) on behalf of the MRC-NIHR partnership, Efficiency and Mechanism Evaluation Programme. The Health Services Research Unit and the Health Economics Research Unit are both funded by the Chief Scientist Office of the Scottish Government Health and Social Care Directorates. The funders had no role in the study design; collection, analysis, and interpretation of data; the writing of the report; or in the decision to submit the article for publication. The views expressed in this article are those of the authors and do not necessarily reflect the views of the MRC, National Institute for Health Research, the Department of Health, or the Scottish Government.Peer reviewedPublisher PD