The respiratory microbiota during and following mechanical ventilation for respiratory infections in children.
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ABSTRACT:
SUBMITTER: de Koff EM
PROVIDER: S-EPMC8012590 | biostudies-literature | 2021 Apr
REPOSITORIES: biostudies-literature
Publications
The respiratory microbiota during and following mechanical ventilation for respiratory infections in children.
de Koff Emma M EM Man Wing Ho WH van Houten Marlies A MA Jansen Nicolaas J G NJG Arp Kayleigh K Hasrat Raiza R Sanders Elisabeth A M EAM Bogaert Debby D
The European respiratory journal 20210401 4
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Project description:Bacterial pneumonia is a major cause of mechanical ventilation in intensive care units. We hypothesized that the presence of particular microbiota in endotracheal tube aspirates during the course of intubation was associated with clinical outcomes such as extubation failure or 28-day mortality. Sixty mechanically ventilated ICU (intensive care unit) patients (41 patients with pneumonia and 19 patients without pneumonia) were included, and tracheal aspirates were obtained on days 1, 3, and 7. Gene sequencing of 16S rRNA was used to measure the composition of the respiratory microbiome. A total of 216 endotracheal aspirates were obtained from 60 patients. A total of 22 patients were successfully extubatedwithin3 weeks, and 12 patients died within 28days. Microbiota profiles differed significantly between the pneumonia group and the non-pneumonia group (Adonis, p < 0.01). While α diversity (Shannon index) significantly decreased between day 1 and day 7 in the successful extubation group, it did not decrease in the failed extubation group among intubated patients with pneumonia. There was a significant difference in the change of βdiversity between the successful extubation group and the failed extubation group for Bray-Curtis distances (p < 0.001). At the genus level, Rothia, Streptococcus, and Prevotella correlated with the change of β diversity. A low relative abundance of Streptococci at the time of intubation was strongly associated with 28-day mortality. The dynamics of respiratory microbiome were associated with clinical outcomes such as extubation failure and mortality. Further large prospective studies are needed to test the predictive value of endotracheal aspirates in intubated patients.
| S-EPMC7141134 | biostudies-literature
Project description:IntroductionChildren who use invasive long-term mechanical ventilation (LTMV) are a rare, clinically heterogenous population with relatively high hospitalization rates, most commonly for acute respiratory infection (ARI). We sought to describe patterns of ARI-related utilization and mortality in pediatric patients with LTMV, evaluating the association of a pre-existing neurologic diagnoses with outcomes.MethodsWe studied a longitudinal retrospective cohort across 40 U.S. children's hospital emergency department (ED) and hospital encounters for patients (< 21 years) with LTMV and an ARI diagnosis code (10/1/2016-6/30/2023). We examined mortality and ED/hospital utilization outcomes, defining short-stay hospitalizations as ≤ 2 calendar days. We stratified analyses by high intensity neurologic impairment (HINI) using a validated coding algorithm.ResultsWe included 4866 patients (median age 4.5 years; 58.6% male) with LTMV and ≥ 1 ARI encounter. Most (95.1%) were hospitalized on their index encounter, and among those most received intensive care (71.7%). 4.1% died during the index hospitalization (5.3% with HINI vs. 1.3% without HINI, p < 0.001). Median hospital length of stay was 6 days (interquartile range 3-12). Short stay hospitalizations occurred in 16.9% overall but were as high as 26.6% in children without HINI. ED return visits within 1 year occurred in 60.7%; ARI was the most common reason (40.1%).ConclusionsPediatric patients using LTMV presenting for ED care with ARI are almost always hospitalized, usually in an intensive care setting. Overall, outcomes were poorer for those with HINI than those without HINI. More precision is needed to align resources with illness severity and comorbidities to improve ARI outcomes.
| S-EPMC11881213 | biostudies-literature
Project description:BackgroundLower respiratory tract infections (LRTI) are a leading cause of critical illness and mortality in mechanically ventilated children; however, the pathogenic microbes frequently remain unknown. We combined traditional diagnostics with metagenomic next generation sequencing (mNGS) to evaluate the cause of LRTI in critically ill children.MethodsWe conducted a prospective, multicentre cohort study of critically ill children aged 31 days to 17 years with respiratory failure requiring mechanical ventilation (>72 h) in the USA. By combining bacterial culture and upper respiratory viral PCR testing with mNGS of tracheal aspirate collected from all patients within 24 h of intubation, we determined the prevalence, age distribution, and seasonal variation of viral and bacterial respiratory pathogens detected by either method in children with or without LRTI.FindingsBetween Feb 26, 2015, and Dec 31, 2017, of the 514 enrolled patients, 397 were eligible and included in the study (276 children with LRTI and 121 with no evidence of LRTI). A presumptive microbiological cause was identified in 255 (92%) children with LRTI, with respiratory syncytial virus (127 [46%]), Haemophilus influenzae (70 [25%]), and Moraxella catarrhalis (65 [24%]) being most prevalent. mNGS identified uncommon pathogens including Ureaplasma parvum and Bocavirus. Co-detection of viral and bacterial pathogens occurred in 144 (52%) patients. Incidental carriage of potentially pathogenic microbes occurred in 82 (68%) children without LRTI, with rhinovirus (30 [25%]) being most prevalent. Respiratory syncytial virus (p<0·0001), H influenzae (p=0·0006), and M catarrhalis (p=0·0002) were most common in children younger than 5 years. Viral and bacterial LRTI occurred predominantly during winter months.InterpretationThese findings demonstrate that respiratory syncytial virus, H influenzae, and M catarrhalis contribute disproportionately to severe paediatric LRTI, co-infections are common, and incidental carriage of potentially pathogenic microbes occurs frequently. Further, we provide a framework for future epidemiological and emerging pathogen surveillance studies, highlighting the potential for metagenomics to enhance clinical diagnosis.FundingUS National Institutes of Health and CZ Biohub.
| S-EPMC9446282 | biostudies-literature
Project description:This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency Medicine 2020. Other selected articles can be found online at https://www.biomedcentral.com/collections/annualupdate2020. Further information about the Annual Update in Intensive Care and Emergency Medicine is available from http://www.springer.com/series/8901.
| S-EPMC7092676 | biostudies-literature
Project description:BackgroundThe emergence of multi-drug resistant pathogens is an urgent health-related problem, and the appropriate use of antibiotics is imperative. It is often difficult to identify the causative bacteria in patients with aspiration pneumonia because tracheal aspirate contains contaminants of oral bacteria. We investigated the dynamics of microbiota in mechanically ventilated patients with aspiration pneumonia to develop a treatment strategy.MethodsTwenty-two intubated patients with aspiration pneumonia were recruited. Saliva and tracheal aspirate of the subjects were collected at three time points: (A) within 2 h after intubation, (B) just before administration of antibiotics, and (C) 48-72 h after administration of antibiotics. The microbiota in each specimen was analyzed by using the 16S rRNA gene clone library sequencing method. Bacterial floras of the samples were analyzed by principal component analysis.ResultsPrincipal component analysis based on the composition of genus revealed that although the changes of microbiota in the saliva from (A) to (B) were not clear, the composition of anaerobes in the tracheal aspirate (B) was lower than (A). In fact, the reduction of anaerobes, not in the saliva but in the tracheal aspirate from (A) to (B), was confirmed by incident rate ratios estimated by a multilevel Poisson regression model (p < 0.001). The extent of decrease in anaerobes was fully dependent on the time difference between the sampling of tracheal aspirate (A) and (B)-in particular, over 3 h of mechanical ventilation. This indicates that the alterations of microbiota (involving the reduction of anaerobes in the lower respiratory tract) occurred during mechanical ventilation prior to the administration of antibiotics. After the administration of antibiotics, Enterobacter spp., Corynebacterium spp., Pseudomonas aeruginosa, Klebsiella pneumoniae, Staphylococcus aureus, and Granulicatera adiacens were predominantly detected in the tracheal aspirate (C).ConclusionThe microbiota of the lower respiratory tract changes dynamically during mechanical ventilation and during the administration of antibiotics in intubated patients with aspiration pneumonia. Antibiotics should be selected on the premise that dynamic changes in microbiota (involved in the reduction of anaerobes) may occur during the mechanical ventilation in these patients.
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Project description: Not available
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Project description:Robustness measures the performance of estimation methods when they work under non-ideal conditions. We compared the robustness of artificial neural networks (ANNs) and multilinear fitting (MLF) methods in estimating respiratory system compliance (C RS) during mechanical ventilation (MV). Twenty-four anaesthetized pigs underwent MV. Airway pressure, flow and volume were recorded at fixed intervals after the induction of acute lung injury. After consecutive mechanical breaths, an inspiratory pause (BIP) was applied in order to calculate CRS using the interrupter technique. From the breath preceding the BIP, ANN and MLF had to compute CRS in the presence of two types of perturbations: transient sensor disconnection (TD) and random noise (RN). Performance of the two methods was assessed according to Bland and Altman. The ANN presented a higher bias and scatter than MLF during the application of RN, except when RN was lower than 2% of peak airway pressure. During TD, MLF algorithm showed a higher bias and scatter than ANN. After the application of RN, ANN and MLF maintain a stable performance, although MLF shows better results. ANNs have a more stable performance and yield a more robust estimation of C RS than MLF in conditions of transient sensor disconnection.
| S-EPMC5603635 | biostudies-literature
Project description:Lung-protective ventilation with low tidal volumes remains the cornerstone for treating patient with acute respiratory distress syndrome (ARDS). Personalizing such an approach to each patient's unique physiology may improve outcomes further. Many factors should be considered when mechanically ventilating a critically ill patient with ARDS. Estimations of transpulmonary pressures as well as individual's hemodynamics and respiratory mechanics should influence PEEP decisions as well as response to therapy (recruitability). This summary will emphasize the potential role of personalized therapy in mechanical ventilation.
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Project description:BackgroundSedation management has a major impact on outcomes in mechanically ventilated patients, but sedation strategies do not generally consider the differential effects of different sedatives on respiration and respiratory pattern. A systematic review was undertaken to quantitatively summarize the known effects of different classes of drugs used for sedation on respiratory pattern during both spontaneous breathing and assisted mechanical ventilation.MethodsThis was a systematic review and meta-analysis conducted using Ovid MEDLINE, Embase, Cochrane Database of Systematic Reviews, and Cochrane Central Register of Controlled Trials up to June 2020 to retrieve studies that measured respiratory parameters before and after the administration of opioids, benzodiazepines, intravenous and inhaled anaesthetic agents, and other hypnotic agents (PROSPERO #CRD42020190017). A random-effects meta-analytic model was employed to estimate the mean percentage change in each of the respiratory indices according to medication exposure with and without mechanical ventilation. Risk of bias was assessed using the Cochrane risk of bias assessment tools.FindingsFifty-one studies were included in the analysis. Risk of bias was generally deemed to be low for most studies. Respiratory rate decreased with the administration of opioids in both non-ventilated patients (18% decrease, 95% CI 12-24%) and ventilated patients (26% decrease, 95% CI 15-37%) and increased with inhaled anaesthetics in non-ventilated patients (83% increase, 95% CI 49-118%) and ventilated patients (50% increase, 28-72%). In non-ventilated patients, tidal volume decreased following administration of inhaled aesthetics (55% decrease, 95% CI 25-86%), propofol (36% decrease, 95% CI 20-52%), and benzodiazepines (28% decrease, 95% CI 17-40%); in patients receiving assisted mechanical ventilation, tidal volume was not significantly affected by sedation. Administration of other hypnotic agents was not associated with changes in respiratory rate or tidal volume.InterpretationDifferent classes of drugs used for sedation exert differential effects on respiratory pattern, and this may influence weaning and outcomes in mechanically ventilated patients.FundingThis study did not receive any funding support.
| S-EPMC10789641 | biostudies-literature
Project description:Background and aimsRespiratory system compliance (Crs) is a simple indicator of lung flexibility. However, it remains unclear whether a low Crs during anesthesia induction (iCrs) is associated with an increased risk of postoperative mechanical ventilation.MethodsThis retrospective observational study was conducted using a local database. All mechanically ventilated postoperative ICU patients were included in this study. The duration of postoperative mechanical ventilation, length of hospital stay, and in-hospital mortality were compared between the low iCrs group (<25% of distribution) and the normal iCrs group.ResultsA total of 315 patients were classified into the low iCrs (<39 mL/cmH2O) group (n = 78) or the normal iCrs group (n = 237). Low iCrs was associated with a higher chance of mechanical ventilation in 28 days (log-rank test, p < 0.001). The duration of hospital stay was similar. Multivariate analysis showed that in-hospital mortality was higher in the low iCrs group than in the normal iCrs group (adjusted odds ratio, 6.04 [1.13, 32.26]; p = 0.04).ConclusionLow iCrs was associated with an increased risk of requiring postoperative mechanical ventilation. An additional result of poor survival related to low iCrs may require further study.
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