Explore the vast range of titles available.

Objective To determined whether the implementation of an intubation management protocol leads to the reduction of intubation-related complications in the intensive care unit (ICU). Design Two-phase, prospective, multicenter controlled study. Setting Three medical-surgical ICUs in two university hospitals. Patients Two hundred three consecutive ICU patients required 244 intubations. Interventions All intubations performed during two consecutive phases (a 6-month quality control phase followed by a 6-month intervention phase based on the implementation of an ICU intubation bundle management protocol) were evaluated. The ten bundle components were: preoxygenation with noninvasive positive pressure ventilation, presence of two operators, rapid sequence induction, cricoid pressure, capnography, protective ventilation, fluid loading, preparation and early administration of sedation and vasopressor use if needed. Measurements and main results The primary end points were the incidence of life-threatening complications occurring within 60 min after intubation (cardiac arrest or death, severe cardiovascular collapse and hypoxemia). Other complications (mild to moderate) were also evaluated. Baseline characteristics, including demographic data and reason for intubation (mainly acute respiratory failure), were similar in the two phases. The intubation procedure in the intervention phase ( n  = 121) was associated with significant decreases in both life-threatening complications (21 vs. 34%, p  = 0.03) and other complications (9 vs. 21%, p  = 0.01) compared to the control phase ( n  = 123). Conclusions The implementation of an intubation management protocol can reduce immediate severe life-threatening complications associated with intubation of ICU patients.

Isavuconazole is a triazole antifungal agent recently recommended as first-line therapy for invasive pulmonary aspergillosis. With the COVID-19 pandemic, cases of COVID-19-associated pulmonary aspergillosis (CAPA) have been described with a prevalence ranging from 5 to 30%. We developed and validated a population pharmacokinetic (PKpop) model of isavuconazole plasma concentrations in intensive care unit patients with CAPA. Nonlinear mixed-effect modeling Monolix software were used for PK analysis of 65 plasma trough concentrations from 18 patients. PK parameters were best estimated with a one-compartment model. The mean of ISA plasma concentrations was 1.87 [1.29–2.25] mg/L despite prolonged loading dose (72 h for one-third) and a mean maintenance dose of 300 mg per day. Pharmacokinetics (PK) modeling showed that renal replacement therapy (RRT) was significantly associated with under exposure, explaining a part of clearance variability. The Monte Carlo simulations suggested that the recommended dosing regimen did not achieve the trough target of 2 mg/L in a timely manner (72 h). This is the first isavuconazole PKpop model developed for CAPA critical care patients underlying the need of therapeutic drug monitoring, especially for patients under RRT.

The association between mortality and time of admission to ICU has been extensively studied but remains controversial. We revaluate the impact of time of admission on ICU mortality by retrospectively investigating a recent (2006-2014) and large ICU cohort with on-site intensivist coverage. All adults (≥ 18 years) admitted to a tertiary care medical ICU were included in the study. Patients' characteristics, medical management, and mortality were prospectively collected. Patients were classified according to their admission time: week working days on- and off-hours, and weekends. ICU mortality was the primary outcome and adjusted Hazard-ratios (HR) of death were analysed by multivariate Cox model. 2,428 patients were included: age 62±18 years; male: 1,515 (62%); and median SAPSII score: 38 (27-52). Overall ICU mortality rate was 13.7%. Admissions to ICU occurred during open-hours in 680 cases (28%), during night-time working days in 1,099 cases (45%) and during weekends in 649 cases (27%). Baseline characteristics of patients were similar between groups except that patients admitted during the second part of night (00:00 to 07:59) have a significantly higher SAPS II score than others. ICU mortality was comparable between patients admitted during different time periods but was significantly higher for those admitted during the second part of the night. Multivariate analysis showed however that admission during weeknights and weekends was not associated with an increased ICU mortality as compared with open-hours admissions. Time of admission, especially weeknight and weekend (off-hour admissions), did not influence the prognosis of ICU patients. The higher illness severity of patients admitted during the second part of the night (00:00-07:59) may explain the observed increased mortality.

Large studies on severe imported malaria in non-endemic industrialized countries are lacking. We sought to describe the clinical spectrum of severe imported malaria in French adults and to identify risk factors for mortality at admission to the intensive care unit. Retrospective review of severe Plasmodium falciparum malaria episodes according to the 2000 World Health Organization definition and requiring admission to the intensive care unit. Data were collected from medical charts using standardised case-report forms, in 45 French intensive care units in 2000-2006. Risk factors for in-hospital mortality were identified by univariate and multivariate analyses. Data from 400 adults admitted to the intensive care unit were analysed, representing the largest series of severe imported malaria to date. Median age was 45 years; 60% of patients were white, 96% acquired the disease in sub-Saharan Africa, and 65% had not taken antimalarial chemoprophylaxis. Curative quinine treatment was used in 97% of patients. Intensive care unit mortality was 10.5% (42 deaths). By multivariate analysis, three variables at intensive care unit admission were independently associated with hospital death: older age (per 10-year increment, odds ratio [OR], 1.72; 95% confidence interval [95%CI], 1.28-2.32; P = 0.0004), Glasgow Coma Scale score (per 1-point decrease, OR, 1.32; 95%CI, 1.20-1.45; P<0.0001), and higher parasitemia (per 5% increment, OR, 1.41; 95%CI, 1.22-1.62; P<0.0001). In a large population of adults treated in a non-endemic industrialized country, severe malaria still carried a high mortality rate. Our data, including predictors of death, can probably be generalized to other non-endemic countries where high-quality healthcare is available.

Objective The aim of this study was to describe the characteristics of patients admitted to the intensive care unit with severe pneumonia due to SARS-CoV-2, comparing them according to successive waves, and to identify prognostic factors for morbidity and mortality. Materials and methods This single-center retrospective observational descriptive study was conducted from March 10, 2020, to October 17, 2021. All adult patients admitted with SARS-CoV-2 pneumonia presenting acute respiratory failure were included. COVID 19 diagnosis was confirmed by RT-PCR testing of respiratory specimens. The primary endpoint was ICU mortality. Secondary endpoints were the occurrence of ventilator-associated pneumonia (VAP) or bronchopulmonary aspergillosis. Results Over the study period, 437 patients were included of whom 282 (65%) patients were ventilated for 9 [5;20] days. Among the studied population, 38% were treated for one or more episodes of VAP, and 22 (5%) for bronchopulmonary aspergillosis. ICU mortality was 26% in the first wave, then fell and stabilized at around 10% in subsequent waves ( p  = 0.02). Increased age, Charlson index, SOFA score and lactatemia on admission were predictive of mortality. Survival at 90 days was 85% (95% CI 82–88) and was unaffected by the presence of VAP. However, the occurrence of bronchopulmonary aspergillosis increased mortality to 36%. Conclusion In this study, we observed mortality in the lower range of those previously reported. Risk factors for mortality mainly included age and previous comorbidities. The prognosis of these critically ill Covid 19 patients improved over the four waves, underlining the likely beneficial effect of vaccination and dexamethasone.

Background Staphylococcus aureus is both human commensal and an important human pathogen, responsible for community-acquired and nosocomial infections ranging from superficial wound infections to invasive infections, such as osteomyelitis, bacteremia and endocarditis, pneumonia or toxin shock syndrome with a mortality rate up to 40%. S. aureus reveals a high genetic polymorphism and detecting the genotypes is extremely useful to manage and prevent possible outbreaks and to understand the route of infection. One of current and expanded typing method is based on the X region of the spa gene composed of a succession of repeats of 21 to 27 bp. More than 10000 types are known. Extracting the repeats is impossible by hand and needs a dedicated software. Unfortunately the only software on the market is a commercial program from Ridom. Findings This article presents DNAGear, a free and open source software with a user friendly interface written all in Java on top of NetBeans Platform to perform spa typing, detecting new repeats and new spa types and synchronizing automatically the files with the open access database. The installation is easy and the application is platform independent. In fact, the SPA identification is a formal regular expression matching problem and the results are 100% exact. As the program is using Java embedded modules written over string manipulation of well established algorithms, the exactitude of the solution is perfectly established. Conclusions DNAGear is able to identify the types of the S. aureus sequences and detect both new types and repeats. Comparing to manual processing, which is time consuming and error prone, this application saves a lot of time and effort and gives very reliable results. Additionally, the users do not need to prepare the forward-reverse sequences manually, or even by using additional tools. They can simply create them in DNAGear and perform the typing task. In short, researchers who do not have commercial software will benefit a lot from this application.

Background Patients liberated from invasive mechanical ventilation are at risk of extubation failure, including inability to breathe without a tracheal tube (airway failure) or without mechanical ventilation (non-airway failure). We sought to identify respective risk factors for airway failure and non-airway failure following extubation. Methods The primary endpoint of this prospective, observational, multicenter study in 26 intensive care units was extubation failure, defined as need for reintubation within 48 h following extubation. A multinomial logistic regression model was used to identify risk factors for airway failure and non-airway failure. Results Between 1 December 2013 and 1 May 2015, 1514 patients undergoing extubation were enrolled. The extubation-failure rate was 10.4% (157/1514), including 70/157 (45%) airway failures, 78/157 (50%) non-airway failures, and 9/157 (5%) mixed airway and non-airway failures. By multivariable analysis, risk factors for extubation failure were either common to airway failure and non-airway failure: intubation for coma (OR 4.979 (2.797–8.864), P  < 0.0001 and OR 2.067 (1.217–3.510), P  = 0.003, respectively, intubation for acute respiratory failure (OR 3.395 (1.877–6.138), P  < 0.0001 and OR 2.067 (1.217–3.510), P  = 0.007, respectively, absence of strong cough (OR 1.876 (1.047–3.362), P  = 0.03 and OR 3.240 (1.786–5.879), P  = 0.0001, respectively, or specific to each specific mechanism: female gender (OR 2.024 (1.187–3.450), P  = 0.01), length of ventilation > 8 days (OR 1.956 (1.087–3.518), P  = 0.025), copious secretions (OR 4.066 (2.268–7.292), P  < 0.0001) were specific to airway failure, whereas non-obese status (OR 2.153 (1.052–4.408), P  = 0.036) and sequential organ failure assessment (SOFA) score ≥ 8 (OR 1.848 (1.100–3.105), P  = 0.02) were specific to non-airway failure. Both airway failure and non-airway failure were associated with ICU mortality (20% and 22%, respectively, as compared to 6% in patients with extubation success, P  < 0.0001). Conclusions Specific risk factors have been identified, allowing us to distinguish between risk of airway failure and non-airway failure. The two conditions will be managed differently, both for prevention and curative strategies. Trial registration ClinicalTrials.gov , NCT 02450669 . Registered on 21 May 2015.

Data on the relationship between antimicrobial resistance and mortality remain scarce, and this relationship needs to be investigated in intensive care units (ICUs). The aim of this study was to compare the ICU mortality rates between patients with ICU-acquired pneumonia due to highly antimicrobial-resistant (HAMR) bacteria and those with ICU-acquired pneumonia due to non-HAMR bacteria. We conducted a multicenter, retrospective cohort study using the French National Surveillance Network for Healthcare Associated Infection in ICUs (“REA-Raisin”) database, gathering data from 200 ICUs from January 2007 to December 2016. We assessed all adult patients who were hospitalized for at least 48 h and presented with ICU-acquired pneumonia caused by S. aureus, Enterobacteriaceae, P. aeruginosa, or A. baumannii . The association between pneumonia caused by HAMR bacteria and ICU mortality was analyzed using the whole sample and using a 1:2 matched sample. Among the 18,497 patients with at least one documented case of ICU-acquired pneumonia caused by S. aureus, Enterobacteriaceae, P. aeruginosa, or A. baumannii , 3081 (16.4%) had HAMR bacteria. The HAMR group was associated with increased ICU mortality (40.3% vs. 30%, odds ratio (OR) 95%, CI 1.57 [1.45–1.70], P  < 0.001). This association was confirmed in the matched sample (3006 HAMR and 5640 non-HAMR, OR 95%, CI 1.39 [1.27–1.52], P  < 0.001) and after adjusting for confounding factors (OR ranged from 1.34 to 1.39, all P  < 0.001). Our findings suggest that ICU-acquired pneumonia due to HAMR bacteria is associated with an increased ICU mortality rate, ICU length of stay, and mechanical ventilation duration.

Purpose Prospective data on potential factors associated with severity of imported Plasmodium falciparum malaria are lacking. We evaluated whether several host- and parasite-related biomarkers may improve early severity evaluation. Methods Prospective multicenter observational study comparing uncomplicated and severe imported falciparum malaria in adults conducted in France in 52 units, from 2007 to 2010. Association of several host- and parasite-related biomarkers with severity of malaria was tested using univariate and multivariate analyses. Results Of 295 patients, 140 had uncomplicated malaria and 155 severe malaria (including very severe and less severe cases according to predefined criteria). Curative intravenous quinine treatment was used in 154/155 patients with severe malaria and atovaquone/proguanil in 74 % of patients with uncomplicated malaria. Hospital mortality was 5.2 % (8 patients), all in the severe malaria group. Among host-related biomarkers, CRP, procalcitonin, and sTREM-1 were significantly higher and albumin was significantly lower in severe versus uncomplicated malaria; only the last three biomarkers also differed significantly between the very and less severe malaria groups. Among parasite-related biomarkers, only plasma Pf HRP2 was significantly higher in severe versus uncomplicated malaria and in very severe versus less severe malaria; parasitemia did not differ between very and less severe malaria. By multivariate analysis, only lower plasma albumin and higher sTREM-1 were associated with greater severity, with intermediate accuracies. Conclusions During imported malaria, the most useful biomarkers associated with severity seem to be plasma albumin and sTREM-1; and among parasite-related parameters, Pf HRP2 was more strongly associated with severity than parasitemia was.