Association between peripheral perfusion index and postoperative acute kidney injury in major noncardiac surgery patients receiving continuous vasopressors: a post hoc exploratory analysis of the VEGA-1 trial.

BACKGROUND: The peripheral perfusion index is the ratio of pulsatile to nonpulsatile static blood flow obtained by photoplethysmography and reflects peripheral tissue perfusion. We investigated the association between intraoperative perfusion index and postoperative acute kidney injury in patients undergoing major noncardiac surgery and receiving continuous vasopressor infusions. METHODS: In this exploratory post hoc analysis of a pragmatic, cluster-randomised, multicentre trial, we obtained areas and cumulative times under various thresholds of perfusion index and investigated their association with acute kidney injury in multivariable logistic regression analyses. In secondary analyses, we investigated the association of time-weighted average perfusion index with acute kidney injury. The 30-day mortality was a secondary outcome. RESULTS: Of 2534 cases included, 8.9% developed postoperative acute kidney injury. Areas and cumulative times under a perfusion index of 3% and 2% were associated with an increased risk of acute kidney injury; the strongest association was observed for area under a perfusion index of 1% (adjusted odds ratio [aOR] 1.32, 95% confidence interval [CI] 1.00-1.74, P=0.050, per 100%∗min increase). Additionally, time-weighted average perfusion index was associated with acute kidney injury (aOR 0.82, 95% CI 0.74-0.91, P<0.001) and 30-day mortality (aOR 0.68, 95% CI 0.49-0.95, P=0.024). CONCLUSIONS: Larger areas and longer cumulative times under thresholds of perfusion index and lower time-weighted average perfusion index were associated with postoperative acute kidney injury in patients undergoing major noncardiac surgery and receiving continuous vasopressor infusions. CLINICAL TRIAL REGISTRATION: NCT04789330.

Low-Dose Corticosteroids for Critically Ill Adults With Severe Pulmonary Infections: A Review.

Importance: Severe pulmonary infections, including COVID-19, community-acquired pneumonia, influenza, and Pneumocystis pneumonia, are a leading cause of death among adults worldwide. Pulmonary infections in critically ill patients may cause septic shock, acute respiratory distress syndrome, or both, which are associated with mortality rates ranging between 30% and 50%. Observations: Corticosteroids mitigate the immune response to infection and improve outcomes for patients with several types of severe pulmonary infections. Low-dose corticosteroids, defined as less than or equal to 400 mg hydrocortisone equivalent daily, can reduce mortality of patients with severe COVID-19, community-acquired pneumonia, and Pneumocystis pneumonia. A randomized clinical trial of 6425 patients hospitalized with COVID-19 who required supplemental oxygen or noninvasive or invasive mechanical ventilation reported that dexamethasone 6 mg daily for 10 days decreased 28-day mortality (23% vs 26%). A meta-analysis that included 7 randomized clinical trials of 1689 patients treated in the intensive care unit for severe bacterial community-acquired pneumonia reported that hydrocortisone equivalent less than or equal to 400 mg daily for 8 days or fewer was associated with lower 30-day mortality compared with placebo (10% vs 16%). In a meta-analysis of 6 randomized clinical trials, low-dose corticosteroids were associated with lower mortality rates compared with placebo for patients with HIV and moderate to severe Pneumocystis pneumonia (13% vs 25%). In a predefined subgroup analysis of a trial of low-dose steroid treatment for septic shock, patients with community-acquired pneumonia randomized to 7 days of intravenous hydrocortisone 50 mg every 6 hours and fludrocortisone 50 µg daily had decreased mortality compared with the placebo group (39% vs 51%). For patients with acute respiratory distress syndrome caused by various conditions, low-dose corticosteroids were associated with decreased in-hospital mortality (34% vs 45%) according to a meta-analysis of 8 studies that included 1091 patients. Adverse effects of low-dose corticosteroids may include hyperglycemia, gastrointestinal bleeding, neuropsychiatric disorders, muscle weakness, hypernatremia, and secondary infections. Conclusions and Relevance: Treatment with low-dose corticosteroids is associated with decreased mortality for patients with severe COVID-19 infection, severe community-acquired bacterial pneumonia, and moderate to severe Pneumocystis pneumonia (for patients with HIV). Low-dose corticosteroids may also benefit critically ill patients with respiratory infections who have septic shock, acute respiratory distress syndrome, or both.

Intraoperative Use of Albumin in Major Noncardiac Surgery: Incidence, Variability, and Association With Outcomes.

BACKGROUND: The impact of albumin use during major surgery is unknown, and a dearth of evidence governing its use in major noncardiac surgery has long precluded its standardization in clinical guidelines. OBJECTIVE: In this study, we investigate institutional variation in albumin use among medical centers in the United States during major noncardiac surgery and explore the association of intraoperative albumin administration with important postoperative outcomes. METHODS: The study is an observational retrospective cohort analysis performed among 54 U.S. hospitals in the Multicenter Perioperative Outcomes Group and includes adult patients who underwent major noncardiac surgery under general anesthesia between January 2014 and June 2020. The primary endpoint was the incidence of albumin administration. Secondary endpoints are acute kidney injury (AKI), net-positive fluid balance, pulmonary complications, and 30-day mortality. Albumin-exposed and albumin-unexposed cases were compared within a propensity score-matched cohort to evaluate associations of albumin use with outcomes. RESULTS: Among 614,215 major surgeries, predominantly iso-oncotic albumin was administered in 15.3% of cases and featured significant inter-institutional variability in use patterns. Cases receiving intraoperative albumin involved patients of higher American Society of Anesthesiologists physical status and featured larger infused crystalloid volumes, greater blood loss, and vasopressor use. Overall, albumin was most often administered at high-volume surgery centers with academic affiliation, and within a propensity score-matched cohort (n=153,218), the use of albumin was associated with AKI (aOR 1.24, 95% CI 1.20-1.28, P <0.001), severe AKI (aOR 1.45, 95% CI 1.34-1.56, P <0.001), net-positive fluid balance (aOR 1.18, 95% CI 1.16-1.20, P <0.001), pulmonary complications (aOR 1.56, 95% CI 1.30-1.86, P <0.001), and 30-day all-cause mortality (aOR 1.37, 95% CI 1.26-1.49, P <0.001). CONCLUSIONS: Intravenous albumin is commonly administered among noncardiac surgeries with significant inter-institutional variability in use in the United States. Albumin administration was associated with an increased risk of postoperative complications.

Overcoming barriers in the design and implementation of clinical trials for acute kidney injury: a report from the 2020 Kidney Disease Clinical Trialists meeting.

Acute kidney injury (AKI) is a growing epidemic and is independently associated with increased risk of death, chronic kidney disease (CKD) and cardiovascular events. Randomized-controlled trials (RCTs) in this domain are notoriously challenging and many clinical studies in AKI have yielded inconclusive findings. Underlying this conundrum is the inherent heterogeneity of AKI in its etiology, presentation and course. AKI is best understood as a syndrome and identification of AKI subphenotypes is needed to elucidate the disease's myriad etiologies and to tailor effective prevention and treatment strategies. Conventional RCTs are logistically cumbersome and often feature highly selected patient populations that limit external generalizability and thus alternative trial designs should be considered when appropriate. In this narrative review of recent developments in AKI trials based on the Kidney Disease Clinical Trialists (KDCT) 2020 meeting, we discuss barriers to and strategies for improved design and implementation of clinical trials for AKI patients, including predictive and prognostic enrichment techniques, the use of pragmatic trials and adaptive trials.

Personalized online ensemble machine learning with applications for dynamic data streams.

In this work we introduce the personalized online super learner (POSL), an online personalizable ensemble machine learning algorithm for streaming data. POSL optimizes predictions with respect to baseline covariates, so personalization can vary from completely individualized, that is, optimization with respect to subject ID, to many individuals, that is, optimization with respect to common baseline covariates. As an online algorithm, POSL learns in real time. As a super learner, POSL is grounded in statistical optimality theory and can leverage a diversity of candidate algorithms, including online algorithms with different training and update times, fixed/offline algorithms that are not updated during POSL's fitting procedure, pooled algorithms that learn from many individuals' time series, and individualized algorithms that learn from within a single time series. POSL's ensembling of the candidates can depend on the amount of data collected, the stationarity of the time series, and the mutual characteristics of a group of time series. Depending on the underlying data-generating process and the information available in the data, POSL is able to adapt to learning across samples, through time, or both. For a range of simulations that reflect realistic forecasting scenarios and in a medical application, we examine the performance of POSL relative to other current ensembling and online learning methods. We show that POSL is able to provide reliable predictions for both short and long time series, and it's able to adjust to changing data-generating environments. We further cultivate POSL's practicality by extending it to settings where time series dynamically enter and exit.

Norepinephrine versus phenylephrine for treating hypotension during general anaesthesia in adult patients undergoing major noncardiac surgery: a multicentre, open-label, cluster-randomised, crossover, feasibility, and pilot trial.

BACKGROUND: Intraoperative hypotension is associated with postoperative complications. The use of vasopressors is often required to correct hypotension but the best vasopressor is unknown. METHODS: A multicentre, cluster-randomised, crossover, feasibility and pilot trial was conducted across five hospitals in California. Phenylephrine (PE) vs norepinephrine (NE) infusion as the first-line vasopressor in patients under general anaesthesia alternated monthly at each hospital for 6 months. The primary endpoint was first-line vasopressor administration compliance of 80% or higher. Secondary endpoints were acute kidney injury (AKI), 30-day mortality, myocardial injury after noncardiac surgery (MINS), hospital length of stay, and rehospitalisation within 30 days. RESULTS: A total of 3626 patients were enrolled over 6 months; 1809 patients were randomised in the NE group, 1817 in the PE group. Overall, 88.2% received the assigned first-line vasopressor. No drug infiltrations requiring treatment were reported in either group. Patients were median 63 yr old, 50% female, and 58% white. Randomisation in the NE group vs PE group did not reduce readmission within 30 days (adjusted odds ratio=0.92; 95% confidence interval, 0.6-1.39), 30-day mortality (1.01; 0.48-2.09), AKI (1.1; 0.92-1.31), or MINS (1.63; 0.84-3.16). CONCLUSIONS: A large and diverse population undergoing major surgery under general anaesthesia was successfully enrolled and randomised to receive NE or PE infusion. This pilot and feasibility trial was not powered for adverse postoperative outcomes and a follow-up multicentre effectiveness trial is planned. CLINICAL TRIAL REGISTRATION: NCT04789330 (ClinicalTrials.gov).

Expert-augmented machine learning.

Machine learning is proving invaluable across disciplines. However, its success is often limited by the quality and quantity of available data, while its adoption is limited by the level of trust afforded by given models. Human vs. machine performance is commonly compared empirically to decide whether a certain task should be performed by a computer or an expert. In reality, the optimal learning strategy may involve combining the complementary strengths of humans and machines. Here, we present expert-augmented machine learning (EAML), an automated method that guides the extraction of expert knowledge and its integration into machine-learned models. We used a large dataset of intensive-care patient data to derive 126 decision rules that predict hospital mortality. Using an online platform, we asked 15 clinicians to assess the relative risk of the subpopulation defined by each rule compared to the total sample. We compared the clinician-assessed risk to the empirical risk and found that, while clinicians agreed with the data in most cases, there were notable exceptions where they overestimated or underestimated the true risk. Studying the rules with greatest disagreement, we identified problems with the training data, including one miscoded variable and one hidden confounder. Filtering the rules based on the extent of disagreement between clinician-assessed risk and empirical risk, we improved performance on out-of-sample data and were able to train with less data. EAML provides a platform for automated creation of problem-specific priors, which help build robust and dependable machine-learning models in critical applications.

Optimizing the Design and Analysis of Future AKI Trials.

AKI is a complex clinical syndrome associated with an increased risk of morbidity and mortality, particularly in critically ill and perioperative patient populations. Most AKI clinical trials have been inconclusive, failing to detect clinically important treatment effects at predetermined statistical thresholds. Heterogeneity in the pathobiology, etiology, presentation, and clinical course of AKI remains a key challenge in successfully testing new approaches for AKI prevention and treatment. This article, derived from the "AKI" session of the "Kidney Disease Clinical Trialists" virtual workshop held in October 2021, reviews barriers to and strategies for improving the design and implementation of clinical trials in patients with, or at risk of, developing AKI. The novel approaches to trial design included in this review span adaptive trial designs that increase the knowledge gained from each trial participant; pragmatic trial designs that allow for the efficient enrollment of sufficiently large numbers of patients to detect small, but clinically significant, treatment effects; and platform trial designs that use one trial infrastructure to answer multiple clinical questions simultaneously. This review also covers novel approaches to clinical trial analysis, such as Bayesian analysis and assessing heterogeneity in the response to therapies among trial participants. We also propose a road map and actionable recommendations to facilitate the adoption of the reviewed approaches. We hope that the resulting road map will help guide future clinical trial planning, maximize learning from AKI trials, and reduce the risk of missing important signals of benefit (or harm) from trial interventions.

Fluids, vasopressors, and acute kidney injury after major abdominal surgery between 2015 and 2019: a multicentre retrospective analysis.

BACKGROUND: Practice patterns related to intraoperative fluid administration and vasopressor use have potentially evolved over recent years. However, the extent of such changes and their association with perioperative outcomes, such as the development of acute kidney injury (AKI), have not been studied. METHODS: We performed a retrospective analysis of major abdominal surgeries in adults across 26 US hospitals between 2015 and 2019. The primary outcome was AKI as defined by the Kidney Disease Improving Global Outcomes definition (KDIGO) using only serum creatinine criteria. Univariable linear predictive additive models were used to describe the dose-dependent risk of AKI given fluid administration or vasopressor use. RESULTS: Over the study period, we observed a decrease in the volume of crystalloid administered, a decrease in the proportion of patients receiving more than 10 ml kg-1 h-1 of crystalloid, an increase in the amount of norepinephrine equivalents administered, and a decreased duration of hypotension. The incidence of AKI increased between 2016 and 2019. An increase of crystalloid administration from 1 to 10 ml kg-1 h-1 was associated with a 58% decreased risk of AKI. CONCLUSIONS: Despite decreased duration of hypotension during the study period, decreased fluid administration and increased vasopressor use were associated with increased incidence of AKI. Crystalloid administration below 10 ml kg-1 h-1 was associated with an increased risk of AKI. Although no causality can be concluded, these data suggest that prevention and treatment of hypotension during abdominal surgery with liberal use of vasopressors at the expense of fluid administration is associated with an increased risk of postoperative AKI.

Causal inference in case of near-violation of positivity: comparison of methods.

In causal studies, the near-violation of the positivity may occur by chance, because of sample-to-sample fluctuation despite the theoretical veracity of the positivity assumption in the population. It may mostly happen when the exposure prevalence is low or when the sample size is small. We aimed to compare the robustness of g-computation (GC), inverse probability weighting (IPW), truncated IPW, targeted maximum likelihood estimation (TMLE), and truncated TMLE in this situation, using simulations and one real application. We also tested different extrapolation situations for the sub-group with a positivity violation. The results illustrated that the near-violation of the positivity impacted all methods. We demonstrated the robustness of GC and TMLE-based methods. Truncation helped in limiting the bias in near-violation situations, but at the cost of bias in normal conditions. The application illustrated the variability of the results between the methods and the importance of choosing the most appropriate one. In conclusion, compared to propensity score-based methods, methods based on outcome regression should be preferred when suspecting near-violation of the positivity assumption.

Extracorporeal cardiopulmonary resuscitation in out-of-hospital cardiac arrest: a registry study.

AIMS: Out-of-hospital cardiac arrest (OHCA) without return of spontaneous circulation (ROSC) despite conventional resuscitation is common and has poor outcomes. Adding extracorporeal membrane oxygenation (ECMO) to cardiopulmonary resuscitation (extracorporeal-CPR) is increasingly used in an attempt to improve outcomes. METHODS AND RESULTS: We analysed a prospective registry of 13 191 OHCAs in the Paris region from May 2011 to January 2018. We compared survival at hospital discharge with and without extracorporeal-CPR and identified factors associated with survival in patients given extracorporeal-CPR. Survival was 8% in 525 patients given extracorporeal-CPR and 9% in 12 666 patients given conventional-CPR (P = 0.91). By adjusted multivariate analysis, extracorporeal-CPR was not associated with hospital survival [odds ratio (OR), 1.3; 95% confidence interval (95% CI), 0.8-2.1; P = 0.24]. By conditional logistic regression with matching on a propensity score (including age, sex, occurrence at home, bystander CPR, initial rhythm, collapse-to-CPR time, duration of resuscitation, and ROSC), similar results were found (OR, 0.8; 95% CI, 0.5-1.3; P = 0.41). In the extracorporeal-CPR group, factors associated with hospital survival were initial shockable rhythm (OR, 3.9; 95% CI, 1.5-10.3; P = 0.005), transient ROSC before ECMO (OR, 2.3; 95% CI, 1.1-4.7; P = 0.03), and prehospital ECMO implantation (OR, 2.9; 95% CI, 1.5-5.9; P = 0.002). CONCLUSIONS: In a population-based registry, 4% of OHCAs were treated with extracorporeal-CPR, which was not associated with increased hospital survival. Early ECMO implantation may improve outcomes. The initial rhythm and ROSC may help select patients for extracorporeal-CPR.

Prediction of an Acute Hypotensive Episode During an ICU Hospitalization With a Super Learner Machine-Learning Algorithm.

BACKGROUND: Acute hypotensive episodes (AHE), defined as a drop in the mean arterial pressure (MAP) <65 mm Hg lasting at least 5 consecutive minutes, are among the most critical events in the intensive care unit (ICU). They are known to be associated with adverse outcome in critically ill patients. AHE prediction is of prime interest because it could allow for treatment adjustment to predict or shorten AHE. METHODS: The Super Learner (SL) algorithm is an ensemble machine-learning algorithm that we specifically trained to predict an AHE 10 minutes in advance. Potential predictors included age, sex, type of care unit, severity scores, and time-evolving characteristics such as mechanical ventilation, vasopressors, or sedation medication as well as features extracted from physiological signals: heart rate, pulse oximetry, and arterial blood pressure. The algorithm was trained on the Medical Information Mart for Intensive Care dataset (MIMIC II) database. Internal validation was based on the area under the receiver operating characteristic curve (AUROC) and the Brier score (BS). External validation was performed using an external dataset from Lariboisière hospital, Paris, France. RESULTS: Among 1151 patients included, 826 (72%) patients had at least 1 AHE during their ICU stay. Using 1 single random period per patient, the SL algorithm with Haar wavelets transform preprocessing was associated with an AUROC of 0.929 (95% confidence interval [CI], 0.899-0.958) and a BS of 0.08. Using all available periods for each patient, SL with Haar wavelets transform preprocessing was associated with an AUROC of 0.890 (95% CI, 0.886-0.895) and a BS of 0.11. In the external validation cohort, the AUROC reached 0.884 (95% CI, 0.775-0.993) with 1 random period per patient and 0.889 (0.768-1) with all available periods and BSs <0.1. CONCLUSIONS: The SL algorithm exhibits good performance for the prediction of an AHE 10 minutes ahead of time. It allows an efficient, robust, and rapid evaluation of the risk of hypotension that opens the way to routine use.

Accuracy of a multiparametric score based on pulse wave analysis for prediction of fluid responsiveness: ancillary analysis of an observational study.

PURPOSE: The pressure recording analytical method (PRAM) monitor is a non-invasive pulse contour cardiac output (CO) device that cannot be considered interchangeable with the gold standard for CO estimation. It, however, generates additional hemodynamic indices that need to be evaluated. Our objective was to investigate the performance of a multiparametric predictive score based on a combination of several parameters generated by the PRAM monitor to predict fluid responsiveness. METHODS: Secondary analysis of a prospective observational study from April 2016 to December 2017 in two French teaching hospitals. We included critically ill patients who were monitored by esophageal Doppler monitoring and an invasive arterial line, and received a 250-500 mL crystalloid fluid challenge. The main outcome measure was the predictive score discrimination evaluated by the area under the receiver operating characteristics curve. RESULTS: The three baseline PRAM-derived parameters associated with fluid responsiveness in univariate analysis were pulse pressure variation, cardiac cycle efficiency, and arterial elastance (P < 0.01, P = 0.03, and P < 0.01, respectively). The median [interquartile range] predictive score, calculated after discretization of these parameters according to their optimal threshold value was 3 [2-3] in fluid responders and 1 [1-2] in fluid non-responders, respectively (P < 0.001). The area under the curve of the predictive score was 0.807 (95% confidence interval, 0.662 to 0.909; P < 0.001). CONCLUSION: A multiparametric score combining three parameters generated by the PRAM monitor can predict fluid responsiveness with good positive and negative predictive values in intensive care unit patients.

RéSUMé: OBJECTIF: Le moniteur PRAM (pressure recording analytical method) est un dispositif non invasif de surveillance du débit cardiaque (DC) fondé sur la mesure de contour de l'onde de pouls qui ne peut être considéré comme interchangeable avec la référence de l'estimation du DC. Cependant, ce dispositif génère des indices hémodynamiques supplémentaires qui doivent être évalués. Notre objectif était d'examiner la performance d'un score prédictif multiparamétrique fondé sur une combinaison de plusieurs paramètres générés par le moniteur PRAM afin de prédire la réponse au remplissage volémique. MéTHODE: Analyse secondaire d'une étude observationnelle prospective entre avril 2016 et décembre 2017 dans deux hôpitaux universitaires français. Nous avons inclus des patients en état critique monitorés par un Doppler oesophagien et une ligne artérielle invasive, et ayant reçu un bolus de cristalloïdes de 250­500 mL. Le critère d'évaluation principal était la discrimination du score prédictif telle qu'évaluée par la surface sous la courbe de fonction d'efficacité de l'observateur (ROC). RéSULTATS: Les trois paramètres de base dérivés du PRAM associés à la réponse au remplissage dans l'analyse univariée étaient la variation de pression différentielle, l'efficacité du cycle cardiaque, et l'élastance artérielle (P < 0,01, P = 0,03, et P < 0,01, respectivement). Le score prédictif médian [écart interquartile], calculé après discrétisation de ces paramètres selon leur valeur seuil optimale, était de 3 [2­3] chez les répondeurs au remplissage et de 1 [1­2] chez les non-répondeurs, respectivement (P < 0,001). La surface sous la courbe du score prédictif était de 0,807 (intervalle de confiance 95 %, 0,662 à 0,909; P < 0,001). CONCLUSION: Un score multiparamétrique combinant trois paramètres générés par le moniteur PRAM peut prédire la réponse au remplissage volémique avec de bonnes valeurs prédictives positives et négatives chez les patients à l'unité de soins intensifs.

Early changes in diaphragmatic function evaluated using ultrasound in cardiac surgery patients: a cohort study.

Little is known about the evolution of diaphragmatic function in the early post-cardiac surgery period. The main purpose of this work is to describe its evolution using ultrasound measurements of muscular excursion and thickening fraction (TF). Single-center prospective study of 79 consecutive uncomplicated elective cardiac surgery patients, using motion-mode during quiet unassisted breathing. Excursion and TF were measured sequentially for each patient [pre-operative (D1), 1 day (D2) and 5 days (D3) after surgery]. Pre-operative median for right and left hemidiaphragmatic excursions were 1.8 (IQR 1.6 to 2.1) cm and 1.7 (1.4 to 2.0) cm, respectively. Pre-operative median right and left thickening fractions were 28 (19 to 36) % and 33 (22 to 51) %, respectively. At D2, there was a reduction in both excursion (right: 1.5 (1.1 to 1.8) cm, p < 0.001, left: 1.5 (1.1 to 1.8), p = 0.003) and thickening fractions (right: 20 (15 to 34) %, p = 0.021, left: 24 (17 to 39) %, p = 0.002), followed by a return to pre-operative values at D3. A positive moderate correlation was found between excursion and thickening fraction (Spearman's rho 0.518 for right and 0.548 for left hemidiaphragm, p < 0.001). Interobserver reliability yielded a bias below 0.1 cm with limits of agreement (LOA) of ± 0.3 cm for excursion and - 2% with LOA of ± 21% for thickening fractions. After cardiac surgery, the evolution of diaphragmatic function is characterized by a transient impairment followed by a quick recovery. Although ultrasound diaphragmatic excursion and thickening fraction are correlated, excursion seems to be a more feasible and reproducible method in this population.

Neutropenic Enterocolitis in Critically Ill Patients: Spectrum of the Disease and Risk of Invasive Fungal Disease.

OBJECTIVES: Neutropenic enterocolitis occurs in about 5.3% of patients hospitalized for hematologic malignancies receiving chemotherapy. Data from critically ill patients with neutropenic enterocolitis are scarce. Our objectives were to describe the population of patients with neutropenic enterocolitis admitted to an ICU and to investigate the risk factors of invasive fungal disease. DESIGN: A multicentric retrospective cohort study between January 2010 and August 2017. SETTING: Six French ICUs members of the Groupe de Recherche Respiratoire en Onco-Hématologie research network. PATIENTS: Adult neutropenic patients hospitalized in the ICU with a diagnosis of enteritis and/or colitis. Patients with differential diagnosis (Clostridium difficile colitis, viral colitis, inflammatory enterocolitis, mesenteric ischemia, radiation-induced gastrointestinal toxicity, and Graft vs Host Disease) were excluded. INTERVENTIONS: None. MEASUREMENT AND MAIN RESULTS: We included 134 patients (median Sequential Organ Failure Assessment 10 [8-12]), with 38.8% hospital mortality and 32.1% ICU mortality rates. The main underlying malignancies were acute leukemia (n = 65, 48.5%), lymphoma (n = 49, 36.6%), solid tumor (n = 14, 10.4%), and myeloma (n = 4, 3.0%). Patients were neutropenic during a median of 14 days (9-22 d). Infection was documented in 81 patients (60.4%), including an isolated bacterial infection in 64 patients (47.8%), an isolated fungal infection in nine patients (6.7%), and a coinfection with both pathogens in eight patients (5.0%). Radiologically assessed enteritis (odds ratio, 2.60; 95% CI, 1.32-7.56; p = 0.015) and HIV infection (odds ratio, 2.03; 95% CI, 1.21-3.31; p = 0.016) were independently associated with invasive fungal disease. CONCLUSIONS: The rate of invasive fungal disease reaches 20% in patients with neutropenic enterocolitis when enteritis is considered. To avoid treatment delay, antifungal therapy might be systematically discussed in ICU patients admitted for neutropenic enterocolitis with radiologically assessed enteritis.

The Fragility and Reliability of Conclusions of Anesthesia and Critical Care Randomized Trials With Statistically Significant Findings: A Systematic Review.

OBJECTIVES: The Fragility Index, which represents the number of patients responsible for a statistically significant finding, has been suggested as an aid for interpreting the robustness of results from clinical trials. A small Fragility Index indicates that the statistical significance of a trial depends on only a few events. Our objectives were to calculate the Fragility Index of statistically significant results from randomized controlled trials of anesthesia and critical care interventions and to determine the frequency of distorted presentation of results or "spin". DATA SOURCES: We systematically searched MEDLINE from January 01, 2007, to February 22, 2017, to identify randomized controlled trials exploring the effect of critical care medicine or anesthesia interventions. STUDY SELECTION: Studies were included if they randomized patients 1:1 into two parallel arms and reported at least one statistically significant (p < 0.05) binary outcome (primary or secondary). DATA EXTRACTION: Two reviewers independently assessed eligibility and extracted data. The Fragility Index was determined for the chosen outcome. We assessed the level of spin in negative trials and the presence of recommendations for clinical practice in positive trials. DATA SYNTHESIS: We identified 166 eligible randomized controlled trials with a median sample size of 207 patients (interquartile range, 109-497). The median Fragility Index was 3 (interquartile range, 1-7), which means that adding three events to one of the trials treatment arms eliminated its statistical significance. High spin was identified in 42% (n = 30) of negative randomized controlled trials, whereas 21% (n = 20) of positive randomized controlled trials provided recommendations. Lower levels of spin and recommendations were associated with publication in journals with high impact factors (p < 0.001 for both). CONCLUSIONS: Statistically significant results in anesthesia and critical care randomized controlled trials are often fragile, and study conclusions are frequently affected by spin. Routine calculation of the Fragility Index in medical literature may allow for better understanding of trials and therefore enhance the quality of reporting.

Prognostic value of the PaO2 /FiO2 ratio determined at the end-surgery stage of a double-lung transplantation.

INTRODUCTION: We evaluated the prognostic role of the arterial oxygen partial pressure/fractional inspired oxygen ratio (PaO2 /FiO2 ratio) measured at the end of double-lung transplantation (DLT). METHODS: This was a monocentric cohort study of all consecutive DLT patients between January 1, 2012, and January 1, 2016, except patients with preoperative extracorporeal membrane oxygenation (ECMO), intraoperative cardiopulmonary bypass, postoperative ECMO, large patent foramen ovale, redo transplantation during the study period, and multiorgan transplantation. RESULTS: A total of 164 patients were included in the study; 45 had a PaO2 /FiO2 ratio <200, 39 a ratio in the range 200-300, and 80 a ratio >300. The risk of being in the lower ratio group is positively related to body mass index, preoperative pulmonary hypertension, and fibrosis. It is negatively related to emergency surgery, age, and intraoperative institution of ECMO. There was a trend for more grade 3 pulmonary graft dysfunction at day 3 in the worst PaO2 /FiO2 ratio group. Mortality at 1000 days was similar for all patients and even after exclusion of patients who had required intraoperative ECMO. CONCLUSION: PaO2 /FiO2 ratio measured at the end of DLT does not forecast 1000-day mortality.

Inhaled nitric oxide dependency at the end of double-lung transplantation: a boosted propensity score cohort analysis.

Inhaled nitric oxide (iNO) is usually used during lung transplantation despite controversial postoperative benefits. Our group chose to administer iNO systematically during the procedure and stop at the end of surgery. This study aims to describe the features of patients who cannot be weaned from iNO, the reasons for this and its impact on postoperative outcomes. This is a monocentric cohort study comprised all consecutive patients who underwent double-lung transplantation (DLT) between 1 January 2012 and 1 January 2016. The impact of iNO dependency on postoperative outcomes was estimated using a boosted inverse probability of treatment weighting estimator. A total of 9.8% of the 173 patients included in the study could not be weaned from iNO at end-surgery stage. Body mass index (OR = 2.03, 95% CI = 1.14-3.29, P = 0.02) and intraoperative extracorporeal membrane oxygenation (OR = 1.80, 95% CI = 1.02-2.72, P = 0.04) were risk factors for iNO dependency In the weighted population, iNO dependency was associated with an increased prevalence of grade 3 primary graft dysfunction (adjusted RR = 4.20, 95% CI = 1.75-10.09, P < 0.001) and decreased postoperative survival during the first 1500 days of follow-up (adjusted HR = 5.0, 95% CI = 1.86-13.48, P < 0.001). Inhaled nitric oxide dependency is an early marker of a poor prognosis following DLT.

Association between hydroxocobalamin administration and acute kidney injury after smoke inhalation: a multicenter retrospective study.

BACKGROUND: The use of hydroxocobalamin has long been advocated for treating suspected cyanide poisoning after smoke inhalation. Intravenous hydroxocobalamin has however been shown to cause oxalate nephropathy in a single-center study. The impact of hydroxocobalamin on the risk of acute kidney injury (AKI) and survival after smoke inhalation in a multicenter setting remains unexplored. METHODS: We conducted a multicenter retrospective study in 21 intensive care units (ICUs) in France. We included patients admitted to an ICU for smoke inhalation between January 2011 and December 2017. We excluded patients discharged at home alive within 24 h of admission. We assessed the risk of AKI (primary endpoint), severe AKI, major adverse kidney (MAKE) events, and survival (secondary endpoints) after administration of hydroxocobalamin using logistic regression models. RESULTS: Among 854 patients screened, 739 patients were included. Three hundred six and 386 (55.2%) patients received hydroxocobalamin. Mortality in ICU was 32.9% (n = 243). Two hundred eighty-eight (39%) patients developed AKI, including 186 (25.2%) who developed severe AKI during the first week. Patients who received hydroxocobalamin were more severe and had higher mortality (38.1% vs 27.2%, p = 0.0022). The adjusted odds ratio (95% confidence interval) of AKI after intravenous hydroxocobalamin was 1.597 (1.055, 2.419) and 1.772 (1.137, 2.762) for severe AKI; intravenous hydroxocobalamin was not associated with survival or MAKE with an adjusted odds ratio (95% confidence interval) of 1.114 (0.691, 1.797) and 0.784 (0.456, 1.349) respectively. CONCLUSION: Hydroxocobalamin was associated with an increased risk of AKI and severe AKI but was not associated with survival after smoke inhalation. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03558646.

Corticosteroids for treating sepsis in children and adults.

BACKGROUND: Sepsis occurs when an infection is complicated by organ failure. Sepsis may be complicated by impaired corticosteroid metabolism. Thus, providing corticosteroids may benefit patients. The original review was published in 2004 and was updated in 2010 and 2015 prior to this update. OBJECTIVES: To examine the effects of corticosteroids on death in children and adults with sepsis. SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase, LILACS, ClinicalTrials.gov, ISRCTN, and the WHO Clinical Trials Search Portal, on 25 July 2019. In addition, we conducted reference checking and citation searching, and contacted study authors, to identify additional studies as needed. SELECTION CRITERIA: We included randomized controlled trials (RCTs) of corticosteroids versus placebo or usual care (antimicrobials, fluid replacement, and vasopressor therapy as needed) in children and adults with sepsis. We also included RCTs of continuous infusion versus intermittent bolus of corticosteroids. DATA COLLECTION AND ANALYSIS: All review authors screened and selected studies for inclusion. One review author extracted data, which was checked by the others, and by the lead author of the primary study when possible. We obtained unpublished data from the authors of some trials. We assessed the methodological quality of trials and applied GRADE to assess the certainty of evidence. Review authors did not contribute to assessment of eligibility and risk of bias, nor to data extraction, for trials they had participated in. MAIN RESULTS: We included 61 trials (12,192 participants), of which six included only children, two included children and adults, and the remaining trials included only adults. Nine studies are ongoing and will be considered in future versions of this review. We judged 19 trials as being at low risk of bias. Corticosteroids versus placebo or usual care Compared to placebo or usual care, corticosteroids probably slightly reduce 28-day mortality (risk ratio (RR) 0.91, 95% confidence interval (CI) 0.84 to 0.99; 11,233 participants; 50 studies; moderate-certainty evidence). Corticosteroids may result in little to no difference in long-term mortality (RR 0.97, 95% CI 0.91 to 1.03; 6236 participants; 7 studies; low-certainty evidence) and probably slightly reduce hospital mortality (RR 0.90, 95% CI 0.82 to 0.99; 8183 participants; 26 trials; moderate-certainty evidence). Corticosteroids reduced length of intensive care unit (ICU) stay for all participants (mean difference (MD) -1.07 days, 95% CI -1.95 to -0.19; 7612 participants; 21 studies; high-certainty evidence) and resulted in a large reduction in length of hospital stay for all participants (MD -1.63 days, 95% CI -2.93 to -0.33; 8795 participants; 22 studies; high-certainty evidence). Corticosteroids increase the risk of muscle weakness (RR 1.21, 95% CI 1.01 to 1.44; 6145 participants; 6 studies; high-certainty evidence). Corticosteroids probably do not increase the risk of superinfection (RR 1.06, 95% CI 0.95 to 1.19; 5356 participants; 25 studies; moderate-certainty evidence). Corticosteroids increase the risk of hypernatraemia (high-certainty evidence) and probably increase the risk of hyperglycaemia (moderate-certainty evidence). Moderate-certainty evidence shows that there is probably little or no difference in gastroduodenal bleeding, stroke, or cardiac events, and low-certainty evidence suggests that corticosteroids may result in little to no difference in neuropsychiatric events. Continuous infusion of corticosteroids versus intermittent bolus We are uncertain about the effects of continuous infusion of corticosteroids compared with intermittent bolus administration. Three studies reported data for this comparison, and the certainty of evidence for all outcomes was very low. AUTHORS' CONCLUSIONS: Moderate-certainty evidence indicates that corticosteroids probably reduce 28-day and hospital mortality among patients with sepsis. Corticosteroids result in large reductions in ICU and hospital length of stay (high-certainty evidence). There may be little or no difference in the risk of major complications; however, corticosteroids increase the risk of muscle weakness and hypernatraemia, and probably increase the risk of hyperglycaemia. The effects of continuous versus intermittent bolus administration of corticosteroids are uncertain.