Hyperoxemia and excess oxygen use in early acute respiratory distress syndrome : Insights from the LUNG SAFE study

Publisher Copyright: © 2020 The Author(s). Copyright: Copyright 2020 Elsevier B.V., All rights reserved.Background: Concerns exist regarding the prevalence and impact of unnecessary oxygen use in patients with acute respiratory distress syndrome (ARDS). We examined this issue in patients with ARDS enrolled in the Large observational study to UNderstand the Global impact of Severe Acute respiratory FailurE (LUNG SAFE) study. Methods: In this secondary analysis of the LUNG SAFE study, we wished to determine the prevalence and the outcomes associated with hyperoxemia on day 1, sustained hyperoxemia, and excessive oxygen use in patients with early ARDS. Patients who fulfilled criteria of ARDS on day 1 and day 2 of acute hypoxemic respiratory failure were categorized based on the presence of hyperoxemia (PaO2 > 100 mmHg) on day 1, sustained (i.e., present on day 1 and day 2) hyperoxemia, or excessive oxygen use (FIO2 ≥ 0.60 during hyperoxemia). Results: Of 2005 patients that met the inclusion criteria, 131 (6.5%) were hypoxemic (PaO2 < 55 mmHg), 607 (30%) had hyperoxemia on day 1, and 250 (12%) had sustained hyperoxemia. Excess FIO2 use occurred in 400 (66%) out of 607 patients with hyperoxemia. Excess FIO2 use decreased from day 1 to day 2 of ARDS, with most hyperoxemic patients on day 2 receiving relatively low FIO2. Multivariate analyses found no independent relationship between day 1 hyperoxemia, sustained hyperoxemia, or excess FIO2 use and adverse clinical outcomes. Mortality was 42% in patients with excess FIO2 use, compared to 39% in a propensity-matched sample of normoxemic (PaO2 55-100 mmHg) patients (P = 0.47). Conclusions: Hyperoxemia and excess oxygen use are both prevalent in early ARDS but are most often non-sustained. No relationship was found between hyperoxemia or excessive oxygen use and patient outcome in this cohort. Trial registration: LUNG-SAFE is registered with ClinicalTrials.gov, NCT02010073publishersversionPeer reviewe

Protective intraoperative ventilation with higher versus lower levels of positive end-expiratory pressure in obese patients (PROBESE): study protocol for a randomized controlled trial

Background: Postoperative pulmonary complications (PPCs) increase the morbidity and mortality of surgery in obese patients. High levels of positive end-expiratory pressure (PEEP) with lung recruitment maneuvers may improve intraoperative respiratory function, but they can also compromise hemodynamics, and the effects on PPCs are uncertain. We hypothesized that intraoperative mechanical ventilation using high PEEP with periodic recruitment maneuvers, as compared with low PEEP without recruitment maneuvers, prevents PPCs in obese patients. Methods/design The PRotective Ventilation with Higher versus Lower PEEP during General Anesthesia for Surgery in OBESE Patients (PROBESE) study is a multicenter, two-arm, international randomized controlled trial. In total, 2013 obese patients with body mass index ≥35 kg/m2 scheduled for at least 2 h of surgery under general anesthesia and at intermediate to high risk for PPCs will be included. Patients are ventilated intraoperatively with a low tidal volume of 7 ml/kg (predicted body weight) and randomly assigned to PEEP of 12 cmH2O with lung recruitment maneuvers (high PEEP) or PEEP of 4 cmH2O without recruitment maneuvers (low PEEP). The occurrence of PPCs will be recorded as collapsed composite of single adverse pulmonary events and represents the primary endpoint. Discussion To our knowledge, the PROBESE trial is the first multicenter, international randomized controlled trial to compare the effects of two different levels of intraoperative PEEP during protective low tidal volume ventilation on PPCs in obese patients. The results of the PROBESE trial will support anesthesiologists in their decision to choose a certain PEEP level during general anesthesia for surgery in obese patients in an attempt to prevent PPCs. Trial registration ClinicalTrials.gov identifier: NCT02148692. Registered on 23 May 2014; last updated 7 June 2016. Electronic supplementary material The online version of this article (doi:10.1186/s13063-017-1929-0) contains supplementary material, which is available to authorized users

Ten priority questions for increasing the consistency and success in hatchery production of the European flat oyster for habitat restoration

The European flat oyster, Ostrea edulis, once formed extensive reef habitats throughout European seas and estuaries. These reefs are now largely functionally extinct, yet interest and support for their restoration is rapidly growing. A major bottleneck to scaling up oyster reef restoration is the lack of available oysters to supply the growing demand. This study aimed to identify the ten questions which, if answered, would increase the consistency and success in hatchery production of O. edulis for habitat restoration. Candidate questions were submitted by representatives from twelve commercial and research hatcheries across Europe. The list of 98 candidate questions were collaboratively discussed by experts from nine research hatcheries across eight countries in Europe, to identify the top ten questions via an iterative and open process. Questions were grouped into the following themes: conditioning and feeding, larval rearing, disease and water quality, hatchery protocol, genetics, and hatchery management. There were several overarching topics spanning these themes, including diet optimisation, maximising the effective population size, and developing the technical skillbase in order to increase hatchery production to meet the projected increase in demand for oyster seed for habitat restoration efforts. We anticipate this list will provide a starting point for collaborative research efforts across Europe, as well as assisting policy makers and funders in identifying key knowledge gaps

Immunocompromised patients with acute respiratory distress syndrome: Secondary analysis of the LUNG SAFE database

Background: The aim of this study was to describe data on epidemiology, ventilatory management, and outcome of acute respiratory distress syndrome (ARDS) in immunocompromised patients. Methods: We performed a post hoc analysis on the cohort of immunocompromised patients enrolled in the Large Observational Study to Understand the Global Impact of Severe Acute Respiratory Failure (LUNG SAFE) study. The LUNG SAFE study was an international, prospective study including hypoxemic patients in 459 ICUs from 50 countries across 5 continents. Results: Of 2813 patients with ARDS, 584 (20.8%) were immunocompromised, 38.9% of whom had an unspecified cause. Pneumonia, nonpulmonary sepsis, and noncardiogenic shock were their most common risk factors for ARDS. Hospital mortality was higher in immunocompromised than in immunocompetent patients (52.4% vs 36.2%; p &lt; 0.0001), despite similar severity of ARDS. Decisions regarding limiting life-sustaining measures were significantly more frequent in immunocompromised patients (27.1% vs 18.6%; p &lt; 0.0001). Use of noninvasive ventilation (NIV) as first-line treatment was higher in immunocompromised patients (20.9% vs 15.9%; p = 0.0048), and immunodeficiency remained independently associated with the use of NIV after adjustment for confounders. Forty-eight percent of the patients treated with NIV were intubated, and their mortality was not different from that of the patients invasively ventilated ab initio. Conclusions: Immunosuppression is frequent in patients with ARDS, and infections are the main risk factors for ARDS in these immunocompromised patients. Their management differs from that of immunocompetent patients, particularly the greater use of NIV as first-line ventilation strategy. Compared with immunocompetent subjects, they have higher mortality regardless of ARDS severity as well as a higher frequency of limitation of life-sustaining measures. Nonetheless, nearly half of these patients survive to hospital discharge. Trial registration: ClinicalTrials.gov, NCT02010073. Registered on 12 December 2013

AMD Annals: a model of continuous monitoring and improvement of the quality of diabetes care

OBJECTIVE: in recent years, several initiatives have been launched by the Associazione medici diabetologi (AMD) in the context of a national quality improvement program.These activities include: identification of specific indicators of quality of diabetes care, development of a software to calculate such indicators by using routine clinical data, creation of a network of diabetes clinics and analysis and publication of the results in ad hoc reports (AMD Annals). Through the best performer approach, each centre could compare its own performance not only with the theoretical targets suggested by existing guidelines, but also with the results achieved by the best centres operating within the same healthcare system.We evaluated whether the involvement of diabetes clinics into the AMD Annals initiative improved the quality of care over 4 years. DESIGN: a controlled before and after study was performed to compare data collected from 2004 to 2007 by two groups of centres: group A included centres that had been involved in the project since the first edition of AMD Annals; group B included centres only involved in the last edition. SETTING AND PARTICIPANTS: overall, 124 diabetes clinics provided data on over 100,000 type 2 diabetes patients/year seen from 2004 to 2007. MAIN OUTCOME MEASURES: process indicators included the proportion of patients with at least one measurement of HbA1c, blood pressure and lipid profile during the previous 12 months. Intermediate outcomes included percentages of patients with levels of HbA1c ≤ 7%, blood pressure ≤ 130/85 mmHg and LDL-cholesterol <100 mg/dl (favourable indicators), and the percentages of patients with levels of HbA1c ≥ 9%, blood pressure ≥ 140/90 mmHg and LDL-cholesterol ≥ 130 mg/dl (unfavourable indicators). Percentages of patients treated with insulin, two or more antihypertensive agents, and statins were also evaluated. A multilevel analysis adjusted for age, gender, diabetes duration, and clustering effect was applied to investigate the changes in the indicators between the two groups of centres during 4 years. RESULTS: lipid profile monitoring increased more in group A (+6.2% from 2004 to 2007) than in group B (+2.4%), while HbA1c and blood pressure monitoring did not change over time in both groups. As for the outcomes considered, the percentage of patients with HbA1c ≤ 7% increased by 6% in group A and by 1.3%in group B, while the proportion of patients achieving the blood pressure target increased in group A (+6.4%), but not in group B (-1.4%). A reduction in the percentage of patients with blood pressure ≥ 140/90 mmHg was found in group A (-7.3%) but not in group B (-0.9%). Marked improvements in the proportion of patients with LDL-cholesterol at target were documented in both groups (group A: +10.5%; group B: +12.2%.) The proportion of patients treated with insulin increased in group A only (+5.8%), while the use of statins grew by 20%in both groups.The proportion of individuals treated with two or more antihypertensive drugs increased by 3.6% in group A and by 1.6% in group B. CONCLUSION: the AMD Annals approach can be considered as a case model for quality improvement activities in chronic diseases and a tool to evaluate the level of adoption/acceptance of guidelines in clinical practice. The considerable success documented was obtained without allocation of extra resources or financial incentives but simply through a physician-led effort made possible by the commitment of the specialists involved

[AMD Annals: a model of continuous monitoring and improvement of the quality of diabetes care].

OBJECTIVE: in recent years, several initiatives have been launched by the Associazione medici diabetologi (AMD) in the context of a national quality improvement program.These activities include: identification of specific indicators of quality of diabetes care, development of a software to calculate such indicators by using routine clinical data, creation of a network of diabetes clinics and analysis and publication of the results in ad hoc reports (AMD Annals). Through the best performer approach, each centre could compare its own performance not only with the theoretical targets suggested by existing guidelines, but also with the results achieved by the best centres operating within the same healthcare system.We evaluated whether the involvement of diabetes clinics into the AMD Annals initiative improved the quality of care over 4 years. DESIGN: a controlled before and after study was performed to compare data collected from 2004 to 2007 by two groups of centres: group A included centres that had been involved in the project since the first edition of AMD Annals; group B included centres only involved in the last edition. SETTING AND PARTICIPANTS: overall, 124 diabetes clinics provided data on over 100,000 type 2 diabetes patients/year seen from 2004 to 2007. MAIN OUTCOME MEASURES: process indicators included the proportion of patients with at least one measurement of HbA1c, blood pressure and lipid profile during the previous 12 months. Intermediate outcomes included percentages of patients with levels of HbA1c ≤ 7%, blood pressure ≤ 130/85 mmHg and LDL-cholesterol <100 mg/dl (favourable indicators), and the percentages of patients with levels of HbA1c ≥ 9%, blood pressure ≥ 140/90 mmHg and LDL-cholesterol ≥ 130 mg/dl (unfavourable indicators). Percentages of patients treated with insulin, two or more antihypertensive agents, and statins were also evaluated. A multilevel analysis adjusted for age, gender, diabetes duration, and clustering effect was applied to investigate the changes in the indicators between the two groups of centres during 4 years. RESULTS: lipid profile monitoring increased more in group A (+6.2% from 2004 to 2007) than in group B (+2.4%), while HbA1c and blood pressure monitoring did not change over time in both groups. As for the outcomes considered, the percentage of patients with HbA1c ≤ 7% increased by 6% in group A and by 1.3%in group B, while the proportion of patients achieving the blood pressure target increased in group A (+6.4%), but not in group B (-1.4%). A reduction in the percentage of patients with blood pressure ≥ 140/90 mmHg was found in group A (-7.3%) but not in group B (-0.9%). Marked improvements in the proportion of patients with LDL-cholesterol at target were documented in both groups (group A: +10.5%; group B: +12.2%.) The proportion of patients treated with insulin increased in group A only (+5.8%), while the use of statins grew by 20%in both groups.The proportion of individuals treated with two or more antihypertensive drugs increased by 3.6% in group A and by 1.6% in group B. CONCLUSION: the AMD Annals approach can be considered as a case model for quality improvement activities in chronic diseases and a tool to evaluate the level of adoption/acceptance of guidelines in clinical practice. The considerable success documented was obtained without allocation of extra resources or financial incentives but simply through a physician-led effort made possible by the commitment of the specialists involved

Factors associated with COVID-19-related death in people with rheumatic diseases: results from the COVID-19 Global Rheumatology Alliance physician-reported registry

Objectives: To determine factors associated with COVID-19-related death in people with rheumatic diseases. Methods: Physician-reported registry of adults with rheumatic disease and confirmed or presumptive COVID-19 (from 24 March to 1 July 2020). The primary outcome was COVID-19-related death. Age, sex, smoking status, comorbidities, rheumatic disease diagnosis, disease activity and medications were included as covariates in multivariable logistic regression models. Analyses were further stratified according to rheumatic disease category. Results: Of 3729 patients (mean age 57 years, 68% female), 390 (10.5%) died. Independent factors associated with COVID-19-related death were age (66-75 years: OR 3.00, 95% CI 2.13 to 4.22; >75 years: 6.18, 4.47 to 8.53; both vs ≤65 years), male sex (1.46, 1.11 to 1.91), hypertension combined with cardiovascular disease (1.89, 1.31 to 2.73), chronic lung disease (1.68, 1.26 to 2.25) and prednisolone-equivalent dosage >10 mg/day (1.69, 1.18 to 2.41; vs no glucocorticoid intake). Moderate/high disease activity (vs remission/low disease activity) was associated with higher odds of death (1.87, 1.27 to 2.77). Rituximab (4.04, 2.32 to 7.03), sulfasalazine (3.60, 1.66 to 7.78), immunosuppressants (azathioprine, cyclophosphamide, ciclosporin, mycophenolate or tacrolimus: 2.22, 1.43 to 3.46) and not receiving any disease-modifying anti-rheumatic drug (DMARD) (2.11, 1.48 to 3.01) were associated with higher odds of death, compared with methotrexate monotherapy. Other synthetic/biological DMARDs were not associated with COVID-19-related death. Conclusion: Among people with rheumatic disease, COVID-19-related death was associated with known general factors (older age, male sex and specific comorbidities) and disease-specific factors (disease activity and specific medications). The association with moderate/high disease activity highlights the importance of adequate disease control with DMARDs, preferably without increasing glucocorticoid dosages. Caution may be required with rituximab, sulfasalazine and some immunosuppressants

Validation and utility of ARDS subphenotypes identified by machine-learning models using clinical data: an observational, multicohort, retrospective analysis

International audienceTwo acute respiratory distress syndrome (ARDS) subphenotypes (hyperinflammatory and hypoinflammatory) with distinct clinical and biological features and differential treatment responses have been identified using latent class analysis (LCA) in seven individual cohorts. To facilitate bedside identification of subphenotypes, clinical classifier models using readily available clinical variables have been described in four randomised controlled trials. We aimed to assess the performance of these models in observational cohorts of ARDS. Methods: In this observational, multicohort, retrospective study, we validated two machine-learning clinical classifier models for assigning ARDS subphenotypes in two observational cohorts of patients with ARDS: Early Assessment of Renal and Lung Injury (EARLI; n=335) and Validating Acute Lung Injury Markers for Diagnosis (VALID; n=452), with LCA-derived subphenotypes as the gold standard. The primary model comprised only vital signs and laboratory variables, and the secondary model comprised all predictors in the primary model, with the addition of ventilatory variables and demographics. Model performance was assessed by calculating the area under the receiver operating characteristic curve (AUC) and calibration plots, and assigning subphenotypes using a probability cutoff value of 0·5 to determine sensitivity, specificity, and accuracy of the assignments. We also assessed the performance of the primary model in EARLI using data automatically extracted from an electronic health record (EHR; EHR-derived EARLI cohort). In Large Observational Study to Understand the Global Impact of Severe Acute Respiratory Failure (LUNG SAFE; n=2813), a multinational, observational ARDS cohort, we applied a custom classifier model (with fewer variables than the primary model) to determine the prognostic value of the subphenotypes and tested their interaction with the positive end-expiratory pressure (PEEP) strategy, with 90-day mortality as the dependent variable. Findings: The primary clinical classifier model had an area under receiver operating characteristic curve (AUC) of 0·92 (95% CI 0·90–0·95) in EARLI and 0·88 (0·84–0·91) in VALID. Performance of the primary model was similar when using exclusively EHR-derived predictors compared with manually curated predictors (AUC=0·88 [95% CI 0·81–0·94] vs 0·92 [0·88–0·97]). In LUNG SAFE, 90-day mortality was higher in patients assigned the hyperinflammatory subphenotype than in those with the hypoinflammatory phenotype (414 [57%] of 725 vs 694 [33%] of 2088; p<0·0001). There was a significant treatment interaction with PEEP strategy and ARDS subphenotype (p=0·041), with lower 90-day mortality in the high PEEP group of patients with the hyperinflammatory subphenotype (hyperinflammatory subphenotype: 169 [54%] of 313 patients in the high PEEP group vs 127 [62%] of 205 patients in the low PEEP group; hypoinflammatory subphenotype: 231 [34%] of 675 patients in the high PEEP group vs 233 [32%] of 734 patients in the low PEEP group). Interpretation: Classifier models using clinical variables alone can accurately assign ARDS subphenotypes in observational cohorts. Application of these models can provide valuable prognostic information and could inform management strategies for personalised treatment, including application of PEEP, once prospectively validated. Funding: US National Institutes of Health and European Society of Intensive Care Medicine