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175 result(s) for "French, Craig"
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Hypoglycemia and Outcome in Critically Ill Patients
To determine whether mild or moderate hypoglycemia that occurs in critically ill patients is independently associated with an increased risk of death. Of patients admitted to 2 hospital intensive care units (ICUs) in Melbourne and Sydney, Australia, from January 1, 2000, to October 14, 2004, we analyzed all those who had at least 1 episode of hypoglycemia (glucose concentration, <81 mg/dL). The independent association between hypoglycemia and outcome was statistically assessed. Of 4946 patients admitted to the ICUs, a cohort of 1109 had at least 1 episode of hypoglycemia (blood glucose level, <81 mg/dL). Of these 1109 patients (22.4% of all admissions to the intensive care unit), hospital mortality was 36.6% compared with 19.7% in the 3837 nonhypoglycemic control patients ( P<.001). Even patients with a minimum blood glucose concentration between 72 and 81 mg/dL had a greater unadjusted mortality rate than did control patients (25.9% vs 19.7%; unadjusted odds ratio, 1.42; 95% confidence interval, 1.12-1.80; P=.004.) Mortality increased significantly with increasing severity of hypoglycemia ( P<.001). After adjustment for insulin therapy, hypoglycemia was independently associated with increased risk of death, cardiovascular death, and death due to infectious disease. In critically ill patients, an association exists between even mild or moderate hypoglycemia and mortality. Even after adjustment for insulin therapy or timing of hypoglycemic episode, the more severe the hypoglycemia, the greater the risk of death.
Age of Red Cells for Transfusion and Outcomes in Critically Ill Adults
In a large, blinded, randomized trial involving critically ill adults, no significant difference in 90-day mortality was noted between those who received red cells stored for a mean of 11.8 days and those who received red cells stored for a mean of 22.4 days.
Erythropoietin in traumatic brain injury (EPO-TBI): a double-blind randomised controlled trial
Erythropoietin might have neurocytoprotective effects. In this trial, we studied its effect on neurological recovery, mortality, and venous thrombotic events in patients with traumatic brain injury. Erythropoietin in Traumatic Brain Injury (EPO-TBI) was a double-blind, placebo-controlled trial undertaken in 29 centres (all university-affiliated teaching hospitals) in seven countries (Australia, New Zealand, France, Germany, Finland, Ireland, and Saudi Arabia). Within 24 h of brain injury, 606 patients were randomly assigned by a concealed web-based computer-generated randomisation schedule to erythropoietin (40 000 units subcutaneously) or placebo (0·9% sodium chloride subcutaneously) once per week for a maximum of three doses. Randomisation was stratified by severity of traumatic brain injury (moderate vs severe) and participating site. With the exception of designated site pharmacists, the site dosing nurses at all sites, and the pharmacists at the central pharmacy in France, all study personnel, patients, and patients' relatives were masked to treatment assignment. The primary outcome, assessed at 6 months by modified intention-to-treat analysis, was improvement in the patients' neurological status, summarised as a reduction in the proportion of patients with an Extended Glasgow Outcome Scale (GOS-E) of 1–4 (death, vegetative state, and severe disability). Two equally spaced preplanned interim analyses were done (after 202 and 404 participants were enrolled). This study is registered with ClinicalTrials.gov, number NCT00987454. Between May 3, 2010, and Nov 1, 2014, 606 patients were enrolled and randomly assigned to erythropoietin (n=308) or placebo (n=298). Ten of these patients (six in the erythropoietin group and four in the placebo group) were lost to follow up at 6 months; therefore, data for the primary outcome analysis was available for 596 patients (302 in the erythropoietin group and 294 in the placebo group). Compared with placebo, erythropoietin did not reduce the proportion of patients with a GOS-E level of 1–4 (134 [44%] of 302 patients in the erythropoietin group vs 132 [45%] of 294 in the placebo group; relative risk [RR] 0·99 [95% CI 0·83–1·18], p=0·90). In terms of safety, erythropoietin did not significantly affect 6-month mortality versus placebo (32 [11%] of 305 patients had died at 6 months in the erythropoietin group vs 46 [16%] of 297 [16%] in the placebo group; RR 0·68 [95% CI 0·44–1·03], p=0·07) or increase the occurrence of deep venous thrombosis of the lower limbs (48 [16%] of 305 vs 54 [18%] of 298; RR 0·87 [95% CI 0·61–1·24], p=0·44). Following moderate or severe traumatic brain injury, erythropoietin did not reduce the number of patients with severe neurological dysfunction (GOS-E level 1–4) or increase the incidence of deep venous thrombosis of the lower limbs. The effect of erythropoietin on mortality remains uncertain. The National Health and Medical Research Council and the Transport Accident Commission.
Systematic reviews and meta-analyses comparing mortality in restrictive and liberal haemoglobin thresholds for red cell transfusion: an overview of systematic reviews
Background There are no overviews of systematic reviews investigating haemoglobin thresholds for transfusion. This is important as the literature on transfusion thresholds has grown considerably in recent years. Our aim was to synthesise evidence from systematic reviews and meta-analyses of the effects of restrictive and liberal transfusion strategies on mortality. Methods This was a systematic review of systematic reviews (overview). We searched MEDLINE, Embase, Web of Science Core Collection, PubMed, Google Scholar, and the Joanna Briggs Institute EBP Database, from 2008 to 2018. We included systematic reviews and meta-analyses of randomised controlled trials comparing mortality in patients assigned to red cell transfusion strategies based on haemoglobin thresholds. Two independent reviewers extracted data and assessed methodological quality. We assessed the methodological quality of included reviews using AMSTAR 2 and the quality of evidence pooled using an algorithm to assign GRADE levels. Results We included 19 systematic reviews reporting 33 meta-analyses of mortality outcomes from 53 unique randomised controlled trials. Of the 33 meta-analyses, one was graded as high quality, 15 were moderate, and 17 were low. Of the meta-analyses presenting high- to moderate-quality evidence, 12 (75.0%) reported no statistically significant difference in mortality between restrictive and liberal transfusion groups and four (25.0%) reported significantly lower mortality for patients assigned to a restrictive transfusion strategy. We found few systematic reviews addressed clinical differences between included studies: variation was observed in haemoglobin threshold concentrations, the absolute between group difference in haemoglobin threshold concentration, time to randomisation (resulting in transfusions administered prior to randomisation), and transfusion dosing regimens. Conclusions Meta-analyses graded as high to moderate quality indicate that in most patient populations no difference in mortality exists between patients assigned to a restrictive or liberal transfusion strategy. Trial registration PROSPERO CRD42019120503
HOW NAÏVE REALISM CAN EXPLAIN BOTH THE PARTICULARITY AND THE GENERALITY OF EXPERIENCE
Visual experiences seem to exhibit phenomenological particularity: when you look at some object, it—that particular object—looks some way to you. But experiences exhibit generality too: when you look at a distinct but qualitatively identical object, things seem the same to you as they did in seeing the first object. Naïve realist accounts of visual experience have often been thought to have a problem with each of these observations. It has been claimed that naïve realist views cannot account for the generality of visual experiences, and that the naïve realist explanation of particularity has unacceptable implications for self-knowledge: the knowledge we have of the character of our own experiences. We argue in this paper that neither claim is correct: naïve realism can explain the generality of experiences, and the naïve realist explanation of particularity raises no problems for our self-knowledge.
Mental health pluralism
In addressing the question of what mental health is we might proceed as if there is a single phenomenon—mental health—denoted by a single overarching concept. The task, then, is to provide an informative analysis of this concept which applies to all and only instances of mental health, and which illuminates what it is to be mentally healthy. In contrast, mental health pluralism is the idea that there are multiple mental health phenomena denoted by multiple concepts of mental health. Analysis and illumination of mental health may still be possible, but there isn’t a single phenomenon or concept to be analysed in addressing the question of what mental health is. The question of pluralism has been overlooked in the philosophy of mental health. The discussion to follow is an attempt to get us to take mental health pluralism seriously. To that end, in this essay I have three primary goals: (1) to give a precise account of what mental health pluralism is, (2) to show that the question of pluralism should not be neglected in debate about what mental health is, and (3) to argue for mental health pluralism. I also draw out some implications of this discussion for philosophy, science, and psychotherapy.
Adult-population incidence of severe sepsis in Australian and New Zealand intensive care units
To determine the population incidence and outcome of severe sepsis occurring in adult patients treated in Australian and New Zealand intensive care units (ICUs), and compare with recent retrospective estimates from the USA and UK. Inception cohort study. Twenty-three closed multi-disciplinary ICUs of 21 hospitals (16 tertiary and 5 university affiliated) in Australia and New Zealand. A total of 5878 consecutive ICU admission episodes. Main outcome measures were population-based incidence of severe sepsis, mortality at ICU discharge, mortality at 28 days after onset of severe sepsis, and mortality at hospital discharge. A total of 691 patients, 11.8 (95% confidence intervals 10.9-12.6) per 100 ICU admissions, were diagnosed with 752 episodes of severe sepsis. Site of infection was pulmonary in 50.3% of episodes and abdominal in 19.3% of episodes. The calculated incidence of severe sepsis in adults treated in Australian and New Zealand ICUs is 0.77 (0.76-0.79) per 1000 of population. 26.5% of patients with severe sepsis died in ICU, 32.4% died within 28 days of the diagnosis of severe sepsis and 37.5% died in hospital. In this prospective study, 11.8 patients per 100 ICU admissions were diagnosed with severe sepsis and the calculated annual incidence of severe sepsis in adult patients treated in Australian and New Zealand ICUs is 0.77 per 1000 of population. This figure for the population incidence falls in the lower range of recent estimates from retrospective studies in the U.S. and the U.K.
TARGET Protein: the effect of augmented administration of enteral protein to critically ill adults on clinical outcomes—statistical analysis plan for a cluster randomized, cross-sectional, double cross-over, clinical trial
Background The TARGET Protein trial will evaluate the effect of greater enteral protein delivery (augmented protein) on clinical outcomes of critically ill adult patients when compared to usual care. Objective To describe the statistical analysis plan for the TARGET Protein trial. Methods TARGET Protein is a cluster randomized, cross-sectional, double cross-over, open-label, registry-embedded, pragmatic clinical trial conducted across Australia and New Zealand. The trial randomized eight intensive care units (ICU) to receive enteral formula containing either higher dose enteral protein (augmented protein) or usual dose protein in a 1:1 ratio. Each ICU received one trial formula for a 3-month period and then switched to the alternate formulae. This sequence was repeated, for a total trial length of 12 months. The primary outcome is the number of days free of the index hospital and alive at day 90. Secondary outcomes include proportion of patients alive at day 90, survivor-only analysis of days free of the index hospital at day 90, duration of invasive ventilation, ICU and hospital length of stay, incidence of tracheostomy insertion, renal replacement therapy, and discharge destination. The statistical methods and models which will be used to estimate the effects for the primary and secondary outcomes are described. All statistical models will account for the cluster-randomized cross-over design to ensure correct estimation of the 95% confidence intervals. Trial enrolment is complete with 3412 patients enrolled. Data linkage is ongoing. Conclusion This statistical analysis plan enables transparent reporting of the TARGET Protein trial. It will reduce the risk of potential selective reporting biases. Trial registration Australian New Zealand Clinical Trials Registry (ACTRN12621001484831). Registered on November 1, 2021.
VII—Naive Realism and Diaphaneity
Abstract Naive Realists think that the ordinary mind-independent objects that we perceive are constitutive of the character of experience. Some understand this in terms of the idea that experience is diaphanous: that the conscious character of a perceptual experience is entirely constituted by its objects. My main goal here is to argue that Naive Realists should reject this, but I’ll also highlight some suggestions as to how Naive Realism might be developed in a non-diaphanous direction.