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    Study protocol and statistical analysis plan for the Liberal Glucose Control in Critically Ill Patients with Pre-existing Type 2 Diabetes (LUCID) trial
    Poole, AP ; Finnis, ME ; Anstey, J ; Bellomo, R ; Bihari, S ; Biradar, V ; Doherty, S ; Eastwood, G ; Finfer, S ; French, CJ ; Ghosh, A ; Heller, S ; Horowitz, M ; Kar, P ; Kruger, PS ; Maiden, MJ ; Martensson, J ; McArthur, CJ ; McGuinness, SP ; Secombe, PJ ; Tobin, AE ; Udy, AA ; Young, PJ ; Deane, AM (AUSTRALASIAN MED PUBL CO LTD, 2020-06)
    BACKGROUND: Contemporary glucose management of intensive care unit (ICU) patients with type 2 diabetes is based on trial data derived predominantly from patients without type 2 diabetes. This is despite the recognition that patients with type 2 diabetes may be relatively more tolerant of hyperglycaemia and more susceptible to hypoglycaemia. It is uncertain whether glucose targets should be more liberal in patients with type 2 diabetes. OBJECTIVE: To detail the protocol, analysis and reporting plans for a randomised clinical trial - the Liberal Glucose Control in Critically Ill Patients with Pre-existing Type 2 Diabetes (LUCID) trial - which will evaluate the risks and benefits of targeting a higher blood glucose range in patients with type 2 diabetes. DESIGN, SETTING, PARTICIPANTS AND INTERVENTION: A multicentre, parallel group, open label phase 2B randomised controlled clinical trial of 450 critically ill patients with type 2 diabetes. Patients will be randomised 1:1 to liberal blood glucose (target 10.0-14.0 mmol/L) or usual care (target 6.0-10.0 mmol/L). MAIN OUTCOME MEASURES: The primary endpoint is incident hypoglycaemia (< 4.0 mmol/L) during the study intervention. Secondary endpoints include biochemical and feasibility outcomes. RESULTS AND CONCLUSION: The study protocol and statistical analysis plan described will delineate conduct and analysis of the trial, such that analytical and reporting bias are minimised. TRIAL REGISTRATION: This trial has been registered on the Australian New Zealand Clinical Trials Registry (ACTRN No. 12616001135404) and has been endorsed by the Australian and New Zealand Intensive Care Society Clinical Trials Group.
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    Study protocol for TARGET protein: The effect of augmented administration of enteral protein to critically ill adults on clinical outcomes: A cluster randomised, cross-sectional, double cross-over, clinical trial
    Summers, MJ ; Chapple, L-AS ; Bellomo, R ; Chapman, MJ ; Ferrie, S ; Finnis, ME ; French, C ; Hurford, S ; Kakho, N ; Karahalios, A ; Maiden, MJ ; O'Connor, SN ; Peake, SL ; Presneill, JJ ; Ridley, EJ ; Tran-Duy, A ; Williams, PJ ; Young, PJ ; Zaloumis, S ; Deane, AM (ELSEVIER, 2023-09)
    BACKGROUND: It is unknown whether increasing dietary protein to 1.2-2.0 g/kg/day as recommended in international guidelines compared to current practice improves outcomes in intensive care unit (ICU) patients. The TARGET Protein trial will evaluate this. OBJECTIVE: To describe the study protocol for the TARGET Protein trial. DESIGN SETTING AND PARTICIPANTS: TARGET Protein is a cluster randomised, cross-sectional, double cross-over, pragmatic clinical trial undertaken in eight ICUs in Australia and New Zealand. Each ICU will be randomised to use one of two trial enteral formulae for three months before crossing over to the other formula, which is then repeated, with enrolment continuing at each ICU for 12 months. All patients aged ≥16 years in their index ICU admission commencing enteral nutrition will be eligible for inclusion. Eligible patients will receive the trial enteral formula to which their ICU is allocated. The two trial enteral formulae are isocaloric with a difference in protein dose: intervention 100g/1000 ml and comparator 63g/1000 ml. Staggered recruitment commenced in May 2022. MAIN OUTCOMES MEASURES: The primary outcome is days free of the index hospital and alive at day 90. Secondary outcomes include days free of the index hospital at day 90 in survivors, alive at day 90, duration of invasive ventilation, ICU and hospital length of stay, incidence of tracheostomy insertion, renal replacement therapy, and discharge destination. CONCLUSION: TARGET Protein aims to determine whether augmented enteral protein delivery reduces days free of the index hospital and alive at day 90. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ACTRN12621001484831).
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    Arteriovenous blood gas agreement for intensive care unit patients with COVID-19
    Kelly, A-M ; Bates, S ; Klim, S ; French, C (WILEY, 2022-04)
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    Evaluation of factors associated with selection for coronary angiography and in-hospital mortality among patients presenting with out-of-hospital cardiac arrest without ST-segment elevation
    Zheng, WC ; Noaman, S ; Batchelor, RJ ; Hanson, L ; Bloom, JE ; Al-Mukhtar, O ; Haji, K ; D'Elia, N ; Ho, FCS ; Kaye, D ; Shaw, J ; Yang, Y ; French, C ; Stub, D ; Cox, N ; Chan, W (WILEY, 2022-12)
    BACKGROUND: Clinical factors favouring coronary angiography (CA) selection and variables associated with in-hospital mortality among patients presenting with out-of-hospital cardiac arrest (OHCA) without ST-segment elevation (STE) remain unclear. METHODS: We evaluated clinical characteristics associated with CA selection and in-hospital mortality in patients with OHCA, shockable rhythm and no STE. RESULTS: Between 2014 and 2018, 118 patients with OHCA and shockable rhythm without STE (mean age 59; males 75%) were stratified by whether CA was performed. Of 86 (73%) patients undergoing CA, 30 (35%) received percutaneous coronary intervention (PCI). CA patients had shorter return of spontaneous circulation (ROSC) time (17 vs. 25 min) and were more frequently between 50 and 60 years (29% vs. 6.5%), with initial Glasgow Coma Scale (GCS) score >8 (24% vs. 6%) (all p < 0.05). In-hospital mortality was 33% (n = 39) for overall cohort (CA 27% vs. no-CA 50%, p = 0.02). Compared to late CA, early CA ( ≤ 2 h) was not associated with lower in-hospital mortality (32% vs. 34%, p = 0.82). Predictors of in-hospital mortality included longer defibrillation time (odds ratio 3.07, 95% confidence interval 1.44-6.53 per 5-min increase), lower pH (2.02, 1.33-3.09 per 0.1 decrease), hypoalbuminemia (2.02, 1.03-3.95 per 5 g/L decrease), and baseline renal dysfunction (1.33, 1.02-1.72 per 10 ml/min/1.73 m2 decrease), while PCI to lesion (0.11, 0.01-0.79) and bystander defibrillation (0.06, 0.004-0.80) were protective factors (all p < 0.05). CONCLUSIONS: Among patients with OHCA and shockable rhythm without STE, younger age, shorter time to ROSC and GCS >8 were associated with CA selection, while less effective resuscitation, greater burden of comorbidities and absence of treatable coronary lesion were key adverse prognostic predictors.
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    Surviving sepsis campaign: international guidelines for management of sepsis and septic shock 2021
    Evans, L ; Rhodes, A ; Alhazzani, W ; Antonelli, M ; Coopersmith, CM ; French, C ; Machado, FR ; Mcintyre, L ; Ostermann, M ; Prescott, HC ; Schorr, C ; Simpson, S ; Wiersinga, WJ ; Alshamsi, F ; Angus, DC ; Arabi, Y ; Azevedo, L ; Beale, R ; Beilman, G ; Belley-Cote, E ; Burry, L ; Cecconi, M ; Centofanti, J ; Coz Yataco, A ; De Waele, J ; Dellinger, RP ; Doi, K ; Du, B ; Estenssoro, E ; Ferrer, R ; Gomersall, C ; Hodgson, C ; Moller, MH ; Iwashyna, T ; Jacob, S ; Kleinpell, R ; Klompas, M ; Koh, Y ; Kumar, A ; Kwizera, A ; Lobo, S ; Masur, H ; McGloughlin, S ; Mehta, S ; Mehta, Y ; Mer, M ; Nunnally, M ; Oczkowski, S ; Osborn, T ; Papathanassoglou, E ; Perner, A ; Puskarich, M ; Roberts, J ; Schweickert, W ; Seckel, M ; Sevransky, J ; Sprung, CL ; Welte, T ; Zimmerman, J ; Levy, M (SPRINGER, 2021-11)
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    Respiratory support in patients with severe COVID-19 in the International Severe Acute Respiratory and Emerging Infection (ISARIC) COVID-19 study: a prospective, multinational, observational study.
    Reyes, LF ; Murthy, S ; Garcia-Gallo, E ; Merson, L ; Ibáñez-Prada, ED ; Rello, J ; Fuentes, YV ; Martin-Loeches, I ; Bozza, F ; Duque, S ; Taccone, FS ; Fowler, RA ; Kartsonaki, C ; Gonçalves, BP ; Citarella, BW ; Aryal, D ; Burhan, E ; Cummings, MJ ; Delmas, C ; Diaz, R ; Figueiredo-Mello, C ; Hashmi, M ; Panda, PK ; Jiménez, MP ; Rincon, DFB ; Thomson, D ; Nichol, A ; Marshall, JC ; Olliaro, PL ; ISARIC Characterization Group, (Springer Science and Business Media LLC, 2022-09-13)
    BACKGROUND: Up to 30% of hospitalised patients with COVID-19 require advanced respiratory support, including high-flow nasal cannulas (HFNC), non-invasive mechanical ventilation (NIV), or invasive mechanical ventilation (IMV). We aimed to describe the clinical characteristics, outcomes and risk factors for failing non-invasive respiratory support in patients treated with severe COVID-19 during the first two years of the pandemic in high-income countries (HICs) and low middle-income countries (LMICs). METHODS: This is a multinational, multicentre, prospective cohort study embedded in the ISARIC-WHO COVID-19 Clinical Characterisation Protocol. Patients with laboratory-confirmed SARS-CoV-2 infection who required hospital admission were recruited prospectively. Patients treated with HFNC, NIV, or IMV within the first 24 h of hospital admission were included in this study. Descriptive statistics, random forest, and logistic regression analyses were used to describe clinical characteristics and compare clinical outcomes among patients treated with the different types of advanced respiratory support. RESULTS: A total of 66,565 patients were included in this study. Overall, 82.6% of patients were treated in HIC, and 40.6% were admitted to the hospital during the first pandemic wave. During the first 24 h after hospital admission, patients in HICs were more frequently treated with HFNC (48.0%), followed by NIV (38.6%) and IMV (13.4%). In contrast, patients admitted in lower- and middle-income countries (LMICs) were less frequently treated with HFNC (16.1%) and the majority received IMV (59.1%). The failure rate of non-invasive respiratory support (i.e. HFNC or NIV) was 15.5%, of which 71.2% were from HIC and 28.8% from LMIC. The variables most strongly associated with non-invasive ventilation failure, defined as progression to IMV, were high leukocyte counts at hospital admission (OR [95%CI]; 5.86 [4.83-7.10]), treatment in an LMIC (OR [95%CI]; 2.04 [1.97-2.11]), and tachypnoea at hospital admission (OR [95%CI]; 1.16 [1.14-1.18]). Patients who failed HFNC/NIV had a higher 28-day fatality ratio (OR [95%CI]; 1.27 [1.25-1.30]). CONCLUSIONS: In the present international cohort, the most frequently used advanced respiratory support was the HFNC. However, IMV was used more often in LMIC. Higher leucocyte count, tachypnoea, and treatment in LMIC were risk factors for HFNC/NIV failure. HFNC/NIV failure was related to worse clinical outcomes, such as 28-day mortality. Trial registration This is a prospective observational study; therefore, no health care interventions were applied to participants, and trial registration is not applicable.
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    ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19
    Garcia-Gallo, E ; Merson, L ; Kennon, K ; Kelly, S ; Citarella, BW ; Fryer, DV ; Shrapnel, S ; Lee, J ; Duque, S ; Fuentes, YV ; Balan, V ; Smith, S ; Wei, J ; Goncalves, BP ; Russell, CD ; Sigfrid, L ; Dagens, A ; Olliaro, PL ; Baruch, J ; Kartsonaki, C ; Dunning, J ; Rojek, A ; Rashan, A ; Beane, A ; Murthy, S ; Reyes, LF (NATURE PORTFOLIO, 2022-07-30)
    The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use.
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    People in intensive care with COVID-19: demographic and clinical features during the first, second, and third pandemic waves in Australia
    Begum, H ; Neto, AS ; Alliegro, P ; Broadley, T ; Trapani, T ; Campbell, LT ; Cheng, AC ; Cheung, W ; Cooper, DJ ; Erickson, SJ ; French, CJ ; Litton, E ; McAllister, R ; Nichol, A ; Palermo, A ; Plummer, MP ; Rotherham, H ; Ramanan, M ; Reddi, B ; Reynolds, C ; Webb, SAR ; Udy, AA ; Burrell, A (WILEY, 2022-10-03)
    OBJECTIVE: To compare the demographic and clinical features, management, and outcomes for patients admitted with COVID-19 to intensive care units (ICUs) during the first, second, and third waves of the pandemic in Australia. DESIGN, SETTING, AND PARTICIPANTS: People aged 16 years or more admitted with polymerase chain reaction-confirmed COVID-19 to the 78 Australian ICUs participating in the Short Period Incidence Study of Severe Acute Respiratory Infection (SPRINT-SARI) Australia project during the first (27 February - 30 June 2020), second (1 July 2020 - 25 June 2021), and third COVID-19 waves (26 June - 1 November 2021). MAIN OUTCOME MEASURES: Primary outcome: in-hospital mortality. SECONDARY OUTCOMES: ICU mortality; ICU and hospital lengths of stay; supportive and disease-specific therapies. RESULTS: 2493 people (1535 men, 62%) were admitted to 59 ICUs: 214 during the first (9%), 296 during the second (12%), and 1983 during the third wave (80%). The median age was 64 (IQR, 54-72) years during the first wave, 58 (IQR, 49-68) years during the second, and 54 (IQR, 41-65) years during the third. The proportion without co-existing illnesses was largest during the third wave (41%; first wave, 32%; second wave, 29%). The proportion of ICU beds occupied by patients with COVID-19 was 2.8% (95% CI, 2.7-2.9%) during the first, 4.6% (95% CI, 4.3-5.1%) during the second, and 19.1% (95% CI, 17.9-20.2%) during the third wave. Non-invasive (42% v 15%) and prone ventilation strategies (63% v 15%) were used more frequently during the third wave than during the first two waves. Thirty patients (14%) died in hospital during the first wave, 35 (12%) during the second, and 281 (17%) during the third. After adjusting for age, illness severity, and other covariates, the risk of in-hospital mortality was similar for the first and second waves, but 9.60 (95% CI, 3.52-16.7) percentage points higher during the third than the first wave. CONCLUSION: The demographic characteristics of patients in intensive care with COVID-19 and the treatments they received during the third pandemic wave differed from those of the first two waves. Adjusted in-hospital mortality was highest during the third wave.
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    Percutaneous Coronary Intervention Volume and Cardiac Surgery Availability Effect on Acute Coronary Syndrome-Related Cardiogenic Shock
    Noaman, S ; Vogrin, S ; Dinh, D ; Lefkovits, J ; Brennan, AL ; Reid, CM ; Walton, A ; Kaye, D ; Bloom, JE ; Stub, D ; Yang, Y ; French, C ; Duffy, SJ ; Cox, N ; Chan, W (ELSEVIER SCIENCE INC, 2022-04-25)
    OBJECTIVES: This study sought to assess the association between cardiac surgery availability and percutaneous coronary intervention (PCI) volume with clinical outcomes of cardiogenic shock (CS) complicating acute coronary syndrome (ACS). BACKGROUND: CS remains a grave complication of ACS with high mortality rates despite timely reperfusion and improved heart failure therapies. METHODS: The study analyzed data from consecutive patients with CS complicating ACS who underwent PCI and were prospectively enrolled in the VCOR (Victorian Cardiac Outcomes Registry) from 26 hospitals in Victoria. We compared patients treated at cardiac surgical centers (CSCs) versus non-CSCs as well as the annual CS PCI volume (stratified into tiers of <10, 10-25, and >25 cases) for in-hospital major adverse cardiac and cerebrovascular events (MACCE) and long-term mortality. RESULTS: Of 1,179 patients with CS, the mean age of patients was 65 years; males comprised 74%, and 22% had diabetes mellitus. Cardiac arrest occurred in 38% of patients, while 90% presented with ST-segment elevation myocardial infarction and 26% received intra-aortic balloon pump support. Overall, in-hospital and long-term mortality were 42% and 51%, respectively. There was no difference among patients treated non-CSCs compared with a CSCs for in-hospital MACCE and mortality (both P > 0.05). Similarly, there was no association between tiers of annual CS PCI volume with in-hospital MACCE and mortality (both P > 0.05). CONCLUSIONS: Comparable short- and long-term mortality rates among patients with ACS complicated by CS treated by PCI irrespective of cardiac surgery availability and CS PCI volume support the emergent treatment of these gravely ill patients at their presenting PCI-capable hospital.
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    Nosocomial infections amongst critically ill COVID-19 patients in Australia
    Ramanan, M ; Burrell, A ; Paul, E ; Trapani, T ; Broadley, T ; McGloughlin, S ; French, C ; Udy, A (ELSEVIER, 2021-12)
    PURPOSE: To determine the frequency of nosocomial infections including hospital-acquired pneumonia (HAP) and bloodstream infection (BSI), amongst critically ill patients with COVID-19 infection in Australian ICUs and to evaluate associations with mortality and length of stay (LOS). METHODS: The effect of nosocomial infections on hospital mortality was evaluated using hierarchical logistic regression models to adjust for illness severity and mechanical ventilation. RESULTS: There were 490 patients admitted to 55 ICUs during the study period. Adjusted odds ratio (OR) for hospital mortality was 1.61 (95% confidence interval (CI) 0.61-4.27, p = 0.3) when considering BSI, and 1.76 (95% CI 0.73-4.21, p = 0.2) for HAP. The average adjusted ICU LOS was significantly longer for patients with BSI (geometric mean 9.0 days vs 6.3 days, p = 0.04) and HAP (geometric mean 13.9 days vs 6.0 days p<0.001). CONCLUSION: Nosocomial infection rates amongst patients with COVID-19 were low and their development was associated with a significantly longer ICU LOS.