Journal of Critical Care Medicine最新文献

Introduction: Acute Respiratory Distress Syndrome (ARDS) is a critical condition characterised by acute respiratory failure due to increased alveolar-capillary membrane permeability. This leads to non-cardiogenic pulmonary oedema, hypoxemia, and impaired respiratory compliance, significantly impacting patients' survival and quality of life. The management of ARDS involves various ventilatory and non-ventilatory therapies. Understanding the optimal timing and application of these therapies is crucial for improving patient outcomes.

Aim of the study: This scoping review aims to identify and synthesise the ventilatory techniques used in managing ARDS, focusing on their temporality and the interplay between different therapies. The study seeks to synthesize the available evidence and summarize current management strategies, highlighting areas for further research and improvement in ARDS care.

Material and methods: A systematic search of PubMed, EBSCO, and ScienceDirect databases was conducted, following the Joanna Briggs Institute guidelines (2015), for articles published between 2013 and 2023. Studies involving adult patients (18 years or older) diagnosed with ARDS and receiving ventilatory support in the ICU were included. Exclusion criteria included other acute respiratory pathologies, clinically extreme obese patients, and patients with tracheostomy.

Results: 437 articles were identified through the database search, of which 23 met the inclusion criteria and were included in the final review. Most articles were published between 2015-2019 (43.5%), originated from the USA (34.78%), and employed observational study designs (73.91%). The included studies reported on patients aged between 23 and 79 years, with intrapulmonary causes being the most common aetiology for ARDS. Various ventilatory strategies were identified, including conventional oxygen therapy, high-flow nasal cannula (HFNC), non-invasive ventilation (NIV), invasive ventilation (IMV), and combined approaches. Temporality was reported in 35% of the articles, but none of them as their primary focus.

Conclusions: The review highlights the diversity of ventilatory techniques employed in ARDS management and the importance of individualizing treatment strategies based on patient response and disease severity. The temporality of these interventions remains a crucial aspect, requiring further investigation to establish clearer guidelines for optimizing the timing and sequence of ventilatory support in ARDS. The findings underscore the need for future research to focus on patient-centred outcomes and the long-term implications of ARDS management, including quality of life and functional status.

Objective: To investigate if awake prone position (PP) reduces the rate of endotracheal intubation and mortality in patients with COVID-19 admitted to the intensive care unit (ICU).

Methods: This was a retrospective cohort study of 726 patients who were admitted to the ICU with acute hypoxic respiratory failure secondary to COVID-19. The protocol of the institution recommended the use of awake PP in patients with nasal catheter with an oxygen flow ≥ 5 L/min and SpO₂ ≤ 90% or a high-flow nasal catheter (HFNC) with FiO₂ ≥ 50% and SpO₂ ≤ 90%. The following data were collected: age, comorbidities, SAPS-3 score, onset of symptoms, the degree of pulmonary involvement, duration of invasive and noninvasive MV, HFNC therapy, nitric oxide therapy, hemodialysis and PP while spontaneously breathing.

Results: There was a higher mortality rate in the supine position group (27.1%) than in the awake PP group (13.9%). There was no significant difference in the time on MV or number of patients on MV (p>0.05). The variables with p < 0.05 in the bivariate analysis were entered into the Cox regression model. The model was adjusted for awake PP, sex, age, SAPS-3 score, onset of symptoms, the degree of pulmonary involvement, chronic arterial disease, and noninvasive ventilation. The only variable associated with lower mortality over time was awake PP (hazard ratio: 0.55; 95% confidence interval: 0.33-0.92).

Conclusion: Awake prone position has been shown to be a safe and effective therapy that reduced mortality but not the risk of intubation in patients with COVID-19.

Background: Interstitial lung disease (ILD) is a cluster of diseases that affect the lungs, characterized by different degrees of inflammation and fibrosis within the parenchyma. In the intensive care unit (ICU), ILD poses substantial challenges because of its complicated nature and high morbidity and mortality rates in severe cases. ILD pathophysiology frequently entails persistent inflammation that results in fibrosis, disrupting the typical structure and function of the lung. Patients with ILD frequently experience dyspnea, non-productive cough, and tiredness. In the ICU setting, these symptoms may worsen and lead to signs of acute respiratory failure with significantly impaired gas physiology.

Methodology: A systematic search was conducted in reputable databases, including PubMed, Google Scholar, and Embase. To ensure a comprehensive search, a combination of keywords such as "interstitial lung disease," "intensive care," and "outcomes" was used. Studies published within the last ten years reporting on the outcomes of ILD patients admitted to intensive care included.

Result: Effective management of ILD in an ICU setting is challenging and requires a comprehensive approach to address the triggering factor and providing respiratory support, Hypoxemia severity is a critical predictor of mortality, with lower PaO₂/FiO₂ ratios during the first three days of ICU admission associated with increased mortality rates. The need for mechanical ventilation, particularly invasive mechanical ventilation (IMV), is a significant predictor of poor outcomes in ILD patients. Additionally, higher positive end-expiratory pressure (PEEP) settings, and severity of illness scores, such as the Acute Physiology and Chronic Health Evaluation (APACHE) score, are also linked to increased mortality. Other poor prognostic factors include the presence of shock and pulmonary fibrosis on computed tomography (CT) images. Among the various types of ILDs, idiopathic pulmonary fibrosis (IPF) is associated with the highest mortality rate. Furthermore, a high ventilatory ratio (VR) within 24 hours after intubation independently predicts ICU mortality.

Conclusion: This literature review points out outcome predictors of interstitial lung disease in intensive care units, which are mainly hypoxemia, the severity of the illness, invasive ventilation, the presence of shock, and the extent of fibrosis on CT Images.

Introduction: Brain abscess is a serious condition in children, leading to rapid deterioration, and permanent neurological damage associated with significant morbidity and mortality. Current management protocols for brain abscesses focus on intravenous antibiotics and surgical excision and drainage.

Case presentation: A 12-year-old adolescent male who had headache and photophobia and was diagnosed with multiple brain abscesses and was refractory to conventional medical and neurosurgical intervention. A single dose of 10 mg vancomycin was administered through endo-ventricular drain, resulting in resolution of abscesses and alleviation of symptoms.

Conclusion: We describe the first instance of intraventricular vancomycin use in the pediatric age group for the treatment of multiple brain abscesses. Given the variability in dosing reported in the literature, our case report warrants further studies to standardize dosage for this rare intervention.

Introduction: Patient-ventilator asynchrony (PVA) is frequent in intensive care. Its presence is associated with prolonged days of mechanical ventilation and may lead to increased mortality in the intensive care unit (ICU) and hospital. Little is known about the ability of Colombian intensive care professionals to identify asynchronies, and the factors associated with their correct identification are not apparent.

Aim of the study: To describe the ability of Colombian intensive care professionals to identify patient-ventilator asynchronies (PVA) using waveform analysis. In addition, to define the characteristics associated with correctly detecting PVA.

Material and methods: We conducted a multicenter, cross-sectional, national survey-based study between January and August 2024. Colombian physiotherapists, respiratory therapists, nurses and intensive care physicians from 24 departments participated in the study. An online survey was used. They were asked to identify six different PVAs presented as videos. The videos were displayed using pressure/time and flow/time waveform of a Puritan Bennett 840 ventilator.

Results: We recruited 900 participants, 60% female, most of whom were physiotherapists (53%). Most professionals had specialty training in critical care (42%), and 32% reported having specific PVA training. Double triggering was the most frequently identified PVA (75%). However, only 3.67% of participants recognized all six PVAs. According to multiple logistic regression analysis, working in a mixed unit (OR 2.59; 95% CI 1.19 - 5.54), caring for neonates (OR 5.19; 95% CI 1.77 - 15.20), and having specific training (OR 2.38; 95% CI 1.16 - 4.76) increases the chance of correctly recognizing all PVAs.

Conclusion: In Colombia, a low percentage of professionals recognize all PVAs. Having specific training in this topic, working in mixed ICUs and neonatal intensive care was significantly associated with identifying all PVAs.

The pathophysiology of sepsis is orchestrated by a delicate and dynamic interaction between pro-inflammatory and anti-inflammatory responses. Essential factors influencing this process include interleukin-7 (IL-7), the programmed cell death protein 1/programmed death ligand 1 (PD-1/PD-L1) axis, and cellular apoptosis. These elements shape the immune response in sepsis, influencing its progression and outcomes. IL-7 is an important cytokine maintaining lymphocyte function and survival. At the same time, the PD-1/PD-L1 axis acts as a modulatory checkpoint suppressing immune activation to prevent overreaction but can exacerbate immunosuppression during sepsis. Cellular apoptosis impairs the host's ability to mount an effective defence, especially against secondary infections. Despite extensive research, the precise mechanisms through which sepsis results in organ dysfunction and immune dysregulation remain incompletely understood. The global burden of sepsis emphasizes the urgent need for innovative approaches, paving the way for personalized, immune-based therapies. This review aims to delve into and synthesize the current knowledge regarding cellular apoptosis, the regulatory role of the PD-1/PD-L1 axis, and the critical functions of IL-7 in sepsis, with a focus on their underlying mechanisms, clinical relevance, and potential as targets for future immunomodulatory treatments.

Aim of the study: To determine which out-of-hospital cardiac arrest (OHCA) patients should receive advanced treatment is extremely challenging. The objective was to identify sub-phenotypes predicting the prognoses of adult OHCA patients by latent class analysis (LCA) using data up to just after admission.

Material and methods: We conducted a retrospective observational study using multicentre OHCA registry from 95 Japanese hospitals including adult non-traumatic hospitalized OHCA. The primary outcome was 30-day favourable neurological outcome. Our LCA used clinically relevant variables up to just after admission and the optimal class number was determined from clinical importance and Bayesian information criterion. The associations between subphenotypes and outcomes were analysed using univariate logistic regression analysis with odds ratios (ORs) and 95% confidence intervals (CIs).

Results: Our LCA included 2,162 patients and identified four sub-phenotypes. The base excess on hospital arrival had the highest discriminative power. Thirty-day favourable neurological outcomes were observed in 526 patients (24.3%), including 284 (53.8%) in Group 1, 179 (21.2%) in Group 2, 26 (11.4%) in Group 3, and 37 (6.6%) in Group 4. Prehospital return of spontaneous circulation (ROSC) was achieved in 1,009 patients (46.7%), including 379 (81.8%) in Group 1, 340 (40.3%) in Group 2, 115 (50.4%) in Group 3, and 175 (31.1%) in Group 4. Univariate logistic regression analysis for primary outcome using Group 4 as reference revealed ORs (95% CI) of 16.5 (11.4-24.1) in Group 1, 3.83 (2.64-5.56) in Group 2, and 1.83 (1.08-3.10) in Group 3.

Conclusions: Our LCA classified OHCA into four sub-phenotypes showing significant differences for prognosis. In cases who achieved prehospital ROSC, it might be meaningful to continue advanced therapeutic interventions.

Introduction: The coronavirus disease 2019 (COVID-19) has infected millions of people worldwide resulting in high morbidity and mortality. Obesity is known to cause metabolic derangements and precipitate worse outcomes from viral pneumonia, potentially secondary to increased inflammation and/or altered respiratory mechanics.

Aim of the study: Our study's aim was to examine the relationships among BMI, systemic inflammation, and respiratory mechanics in determining clinical outcomes.

Materials and methods: This retrospective, observational cohort study included 199 adult patients with confirmed COVID-19 who were hospitalized at a quaternary-referral academic health system. Data were manually extracted from electronic medical records, including baseline demographics and clinical profiles, inflammatory markers, measures of respiratory mechanics, and clinical outcomes. We used the rank-sum test to compare the distributions of BMI and inflammatory markers between those with and without specific clinical outcomes, and the Pearson correlation to measure the correlations between BMI and inflammatory markers or respiratory mechanics.

Results: Higher BMI was associated with worse clinical outcomes, including the need for Intensive Care Unit (ICU) admission, invasive mechanical ventilation (IMV), neuromuscular blockade, and prone positioning, particularly in male patients. Inflammation, as measured by C-reactive protein, lactate dehydrogenase (LDH), ferritin, and D-Dimer, was also increased in both male and female patients who required ICU admission, IMV, neuromuscular blockade, and prone positioning. However, only male patients had a positive correlation of LDH and D-Dimer levels with BMI. There was no correlation between BMI and respiratory mechanics, as measured by static compliance and the response to prone positioning.

Conclusions: Our findings suggest that the metabolic dysfunction and systemic inflammation seen in obesity, and not dysfunctional respiratory physiology, drive the negative clinical outcomes seen in this cohort of hospitalized COVID-19 patients.

Introduction: Determining the optimal timing for extubation in critically ill patients is essential to prevent complications. Predictive models based on Machine Learning (ML) have proven effective in anticipating weaning success, thereby improving clinical outcomes.

Aim of the study: The study aimed to evaluate the predictive capacity of five ML techniques, both supervised and unsupervised, applied to the spontaneous breathing trial (SBT), objective cough measurement (OCM), and diaphragmatic contraction velocity (DCV) to estimate a favorable outcome of SBT and extubation in critically ill patients.

Material and methods: A post hoc analysis conducted on the COBRE-US study. The study included ICU patients who underwent evaluation of SBT, OCM, and DCV. Five ML techniques were applied: unsupervised and supervised to the data in both a training group and a test group. The diagnostic performance of each method was determined using accuracy.

Results: In predicting SBT success, all supervised methods displayed the same accuracy in the training group (77.3%) and in the test group (69.6%). In predicting extubation success, decision trees demonstrated the highest diagnostic accuracy, 89.8% for the training group and 95.7% for the test group. The other supervised methods also showed a good diagnostic accuracy: 85.9% for the training group and 93.5% for the test group.

Conclusions: In predictive models using OCM, DCV, and SBT as input variables through five ML techniques, decision trees and artificial neural networks demonstrated the best diagnostic performance. This suggests that these models can effectively classify patients who are likely to succeed in SBT and extubation during the weaning process from mechanical ventilation.

Introduction: The survival benefits of treatment at high-volume hospitals (HVHs) are well-documented for several critical pediatric conditions. However, their impact on pediatric sepsis, a leading cause of mortality among children, remains understudied.

Aim of the study: To investigate the association between hospital case volume and mortality rates in pediatric sepsis.

Material and methods: We conducted a retrospective cohort study using data from the Diagnosis Procedure Combination database. The study included patients who met the following criteria: 1) aged 28 days to 17 years; 2) discharged from the hospital between April 2014 and March 2018; 3) had a sepsis diagnosis coded under the International Classification of Diseases, 10th revision; 4) underwent blood cultures on hospital admission day (day 0) or day 1; 5) received antimicrobial agents on day 0 or 1; and 6) required at least one organ support measure (e.g., mechanical ventilation or vasopressors) on day 0 or 1. Hospitals were categorized by case volume during the study period, with HVHs defined as those in the highest quartile and low-volume hospitals (LVHs) as those in the remaining quartiles. In-hospital mortality rates between HVH and LVH groups were compared using mixed-effects logistic regression analysis with propensity score (PS) matching.

Results: A total of 934 pediatric patients were included in the study, with an overall in-hospital mortality rate of 16.1%. Of them, 234 were treated at 5 HVHs (≥26 patients in 4 years), and 700 at 234 LVHs (<26 patients in 4 years). Upon PS matching, patients treated at HVHs demonstrated significantly lower odds of in-hospital mortality compared with those treated at LVHs (odds ratio, 0.42; 95% confidence interval, 0.22-0.80; P = 0.008).

Conclusions: In pediatric patients with sepsis, treatment at HVHs was associated with lower odds of in-hospital mortality.