Berlin Criteria Research Articles

Correlation between oxygenation function and laboratory indicators in COVID-19 patients based on non-enhanced chest CT images and construction of an artificial intelligence prediction model.

By extracting early chest CT radiomic features of COVID-19 patients, we explored their correlation with laboratory indicators and oxygenation index (PaO2/FiO2), thereby developed an Artificial Intelligence (AI) model based on radiomic features to predict the deterioration of oxygenation function in COVID-19 patients. This retrospective study included 384 patients with COVID-19, whose baseline information, laboratory indicators, oxygenation-related parameters, and non-enhanced chest CT images were collected. Utilizing the PaO2/FiO2 stratification proposed by the Berlin criteria, patients were divided into 4 groups, and differences in laboratory indicators among these groups were compared. Radiomic features were extracted, and their correlations with laboratory indicators and the PaO2/FiO2 were analyzed, respectively. Finally, an AI model was developed using the PaO2/FiO2 threshold of less than 200 mmHg as the label, and the model's performance was assessed using the area under the receiver operating characteristic curve (AUC), sensitivity and specificity. Group datas comparison was analyzed using SPSS software, and radiomic features were extracted using Python-based Pyradiomics. There were no statistically significant differences in baseline characteristics among the groups. Radiomic features showed differences in all 4 groups, while the differences in laboratory indicators were inconsistent, with some PaO2/FiO2 groups showed differences and others not. Regardless of whether laboratory indicators demonstrated differences across different PaO2/FiO2 groups, they could all be captured by radiomic features. Consequently, we chose radiomic features as variables to establish an AI model based on chest CT radiomic features. On the training set, the model achieved an AUC of 0.8137 (95% CI [0.7631-0.8612]), accuracy of 0.7249, sensitivity of 0.6626 and specificity of 0.8208. On the validation set, the model achieved an AUC of 0.8273 (95% CI [0.7475-0.9005]), accuracy of 0.7739, sensitivity of 0.7429 and specificity of 0.8222. This study found that the early chest CT radiomic features of COVID-19 patients are strongly associated not only with early laboratory indicators but also with the lowest PaO2/FiO2. Consequently, we developed an AI model based on CT radiomic features to predict deterioration in oxygenation function, which can provide a reliable basis for further clinical management and treatment.

Evaluating the Newly Proposed ARDS Definition in Hospitalized Patients With COVID-19 Treated With High-Flow Nasal Oxygen.

The new Global definition of ARDS recently introduced a subgroup known as non-intubated ARDS. This study aimed to assess the risk of progression from noninvasive oxygen support to intubation and ARDS severity based on the SpO2 /FIO2 among non-intubated subjects with ARDS. This retrospective study included subjects with COVID-19 admitted to 7 hospitals (5 in the United States and 2 in Argentina) from January 2020-January 2023. Subjects meeting the new non-intubated ARDS definition (high-flow nasal cannula [HFNC] with an SpO2 /FIO2 ≤ 315 [with SpO2 ≤ 97%] or a PaO2 /FIO2 ≤ 300 mm Hg while receiving ≥30 L/min O2 via HFNC) were included. The study evaluated the proportion of subjects who progressed to intubation, severity levels using the SpO2 /FIO2 cutoff proposed in the new ARDS definition, and mortality. Nine hundred sixty-five non-intubated subjects with ARDS were included, of whom 27% (n = 262) progressed to meet the Berlin criteria within a median of 3 d (interquartile range 2-6). The overall mortality was 23% (95% CI 20-26) (n = 225), and among subjects who progressed to the Berlin criteria, it was 37% (95% CI 31-43) (n = 98). Additionally, the worst SpO2 /FIO2 within 1 d of ARDS diagnosis was correlated with mortality, with mortality rates of 26% (95% CI 23-30) (n = 177) for subjects with SpO2 /FIO2 ≤ 148, 17% (95% CI 12-23) (n = 38) for those with SpO2 /FIO2 between 149-234, and 16% (95% CI 8-28) (n = 10) for subjects maintaining an SpO2 /FIO2 higher than 235 (P < .001). The non-intubated ARDS criteria encompassed a broader spectrum of subjects with lower in-hospital mortality compared to the Berlin criteria. The SpO2 /FIO2 and ARDS severity cutoff proposed in the new Global ARDS definition were valuable predictors of in-hospital mortality in these subjects.

Outcome of Targeted Driving Pressure Mechanical Ventilation in ARDS patients

Background: Lung protective strategy in acute respiratory distress syndrome (ARDS) patients is based on low tidal volume (VT), lower end-inspiratory (plateau) pressure and higher positive end-expiratory pressure (PEEP). But to predict body weight adjusted tidal volume, heterogeneous pathology of the lung in ARDS with different respiratory system compliance (CRS) is not considered. In driving pressure (ΔP=VT / CRS) tidal volume (VT) is normalized to functional lung size. It is unclear whether mechanical ventilation targeting driving pressure (ΔP) is more effective than low tidal volume ventilation (LTVV) in patients with ARDS. Materials and Methods: An open labelled randomized controlled trial was conducted at Intensive Care Unit of Dhaka Medical College Hospital, a tertiary care referral hospital over 12 months from March 2021 to February 2022. Ninety two patients with ARDS, defined by the Berlin criteria, requiring mechanical ventilation were randomized to 1:1 ratio after enrollment in the study using simple random sampling, one group receiving targeted driving pressure (ΔP) that is &lt;/=14cm of H2O ventilation another group receiving low tidal volume ventilation (LTVV) that is 4-6ml/kg PBW. Results: The study found no significant differences between the two groups in terms of clinical variables and laboratory parameters (p &gt; 0.05), except for the duration of mechanical ventilation (MV), which was significantly shorter in the Targeted ΔP group (p&lt;0.05). Aspiration pneumonia was the most common cause of ARDS, occurring in 34.8% of the Targeted ΔP group and 39.1% of the LTVV group. The Targeted ΔP group demonstrated a significant increase in mean respiratory system compliance compared to the LTVV group (p&lt;0.001), and a significantly shorter length of ICU stay (p &lt;0.001). Additionally, the PaO2/FiO2 ratio was significantly higher in the Targeted ΔP group on Days 3, 5, and 7 (p&lt;0.05). Mean exhaled tidal volume was also significantly higher in the Targeted ΔP group on these days (p&lt;0.05). In the Targeted ΔP group, mean driving pressure significantly decreased on Days 3, 5, and 7 (p &lt;0.001), along with a significant reduction in mean plateau pressure (PPlt) (p &lt;0.001). Mean positive end-expiratory pressure (PEEP) significantly decreased on Days 3, 5, and 7 (p &lt;0.001). Respiratory rate significantly decreased on Day 7 (p &lt;0.05). Mean set tidal volume (VT) significantly increased on Days 3, 5, and 7 (p &lt;0.001). Moreover, the 28-day mortality incidence was significantly lower in the Targeted ΔP group compared to the LTVV group (8.7% vs. 26.1%, p &lt;0.05). Conclusion: Targeted Driving pressure (ΔP) guided ventilation offers significant clinical benefits over LTVV in managing ARDS patients in terms of increased respiratory system compliance (CRS), shorter lengths of hospital and ICU stays, and lower in-hospital mortality. Bangladesh Crit Care J September 2024; 12 (2): 81-88

Clinical phenotype of ARDS based on K-means cluster analysis: A study from the eICU database

PurposeTo explore the characteristics of the clinical phenotype of ARDS based on Machine Learning. MethodsThis is a study on Machine Learning. Screened cases of acute respiratory distress syndrome (ARDS) in the eICU database collected basic information in the cases and clinical data on the Day 1, Day 3, and Day 7 after the diagnosis of ARDS, respectively. Using the Calinski-Harabasz criterion, Gap Statistic, and Silhouette Coefficient, we determine the optimal clustering number k value. By the K-means cluster analysis to derive clinical phenotype, we analyzed the data collected within the first 24 h. We compared it with the survival of cases under the Berlin standard classification, and also examined the phenotypic conversion within the first 24 h, on day 3, and on day 7 after the diagnosis of ARDS. ResultsWe collected 5054 cases and derived three clinical phenotypes using K-means cluster analysis. Phenotype-I is characterized by fewer abnormal laboratory indicators, higher oxygen partial pressure, oxygenation index, APACHE IV score, systolic and diastolic blood pressure, and lower respiratory rate and heart rate. Phenotype-II is characterized by elevated white blood cell count, blood glucose, creatinine, temperature, heart rate, and respiratory rate. Phenotype-III is characterized by elevated age, partial pressure of carbon dioxide, bicarbonate, GCS score, albumin. The differences in ICU length of stay and in-hospital mortality were significantly different between the three phenotypes (P < 0.05), with phenotype I having the lowest in-hospital mortality (10 %) and phenotype II having the highest (31.8 %). To compare the survival analysis of ARDS patients classified by phenotype and those classified according to Berlin criteria. The results showed that the differences in survival between phenotypes were statistically significant (P < 0.05) under phenotypic classification. ConclusionsThe clinical classification of ARDS based on K-means clustering analysis is beneficial for further identifying ARDS patients with different characteristics. Compared to the Berlin standard, the new clinical classification of ARDS provides a clearer display of the survival status of different types of patients, which helps to predict patient prognosis.

Beyond Trauma-Induced Coagulopathy: Detection of Auto-Heparinization as a Marker of Endotheliopathy Using Rotational Thromboelastometry.

Background/Objectives: The complexity of trauma-induced coagulopathy (TIC) is a result of the unique interactions between the patient, trauma, and resuscitation-related causes. The main objective of trauma resuscitation is to create the optimal milieu for both the development of immediate reparatory mechanisms and the prevention of further secondary injuries. Endotheliopathy represents one of the hallmarks of trauma-induced coagulopathy, and comprises endothelial dysfunction, abnormal coagulation, and inflammation, all of which arise after severe trauma and hemorrhagic shock. Methods: We retrospectively and descriptively evaluated 217 patients admitted to the Bucharest Clinical Emergency Hospital who met the Berlin criteria for the diagnosis of multiple trauma. Patients with high suspicion of auto-heparinization were identified according to the dynamic clinical and para-clinical evolution and subsequently tested using rotational thromboelastometry (ROTEM). The ratio between the clot formation time (CT) was used, obtained on the two channels of interest (INTEM/HEPTEM). Results: Among the 217 patients with a mean age of 43.43 ± 15.45 years and a mean injury severity score (ISS) of 36.98 ± 1.875, 42 patients had a reasonable clinical and para-clinical suspicion of auto-heparinization, which was later confirmed by the INTEM/HEPTEM clotting time ratio in 28 cases (12.9% from the entire study population). A multiple linear regression analysis highlighted that serum lactate (estimated 0.02, p = 0.0098) and noradrenaline requirement (estimated 0.03, p = 0.0053) influenced the CT (INTEM/HEPTEM) ratio. Conclusions: There is a subset of multiple trauma patients in which the CT (INTEM/HEPTEM) ratio was influenced only by serum lactate levels and patients' need for vasopressor use, reinforcing the relationship between shock, hypoperfusion, and clotting derangements. This emphasizes the unique response that each patient has to trauma.

ARDSFlag: an NLP/machine learning algorithm to visualize and detect high-probability ARDS admissions independent of provider recognition and billing codes

BackgroundDespite the significance and prevalence of acute respiratory distress syndrome (ARDS), its detection remains highly variable and inconsistent. In this work, we aim to develop an algorithm (ARDSFlag) to automate the diagnosis of ARDS based on the Berlin definition. We also aim to develop a visualization tool that helps clinicians efficiently assess ARDS criteria.MethodsARDSFlag applies machine learning (ML) and natural language processing (NLP) techniques to evaluate Berlin criteria by incorporating structured and unstructured data in an electronic health record (EHR) system. The study cohort includes 19,534 ICU admissions in the Medical Information Mart for Intensive Care III (MIMIC-III) database. The output is the ARDS diagnosis, onset time, and severity.ResultsARDSFlag includes separate text classifiers trained using large training sets to find evidence of bilateral infiltrates in radiology reports (accuracy of 91.9%±0.5%) and heart failure/fluid overload in radiology reports (accuracy 86.1%±0.5%) and echocardiogram notes (accuracy 98.4%±0.3%). A test set of 300 cases, which was blindly and independently labeled for ARDS by two groups of clinicians, shows that ARDSFlag generates an overall accuracy of 89.0% (specificity = 91.7%, recall = 80.3%, and precision = 75.0%) in detecting ARDS cases.ConclusionTo our best knowledge, this is the first study to focus on developing a method to automate the detection of ARDS. Some studies have developed and used other methods to answer other research questions. Expectedly, ARDSFlag generates a significantly higher performance in all accuracy measures compared to those methods.

Current incidence, risk factor and outcome of acute respiratory distress syndrome in Nasser Institute ICU, Cairo, Egypt

Abstract Background Acute respiratory distress syndrome (ARDS) represents the severe end of a spectrum of acute lung injury due to many different insults. It manifests as acute and persistent lung inflammation with increased lung permeability. Aim of the study To assess the current incidence, risk factors and outcome of acute respiratory distress syndrome at Nasser Institute ICU during the period from January 2019 till the end of July 2019. Methodology The study enrolled 50 patients who were admitted to Nasser Institute ICU and met the Berlin criteria for ARDS during the study period. Results The incidence of ARDS was (3.12%), 54% of which were severe, 26% were moderate, and 20% were mild. Mortality rate was 52%, 88.46% of which were severe cases. Severity index was positively correlated with mortality rate (P- value &amp;lt;0.001). Pneumonia with sepsis was the most common risk factor (74%) and had statistically significant positive correlation with mortality (P = 0.017). Conclusion Incidence of ARDS was relatively small at our institute (3.12%), yet, it has a serious and a potentially fatal outcome with high mortality rate (52%). Key words: Acute Respiratory Distress Syndrome, ARDS, ICU, incidence, risk factor, outcome, mortality, Nasser Institute. Abbreviations: ARDS: Acute Respiratory Distress Syndrome. PaO2: Partial pressure of oxygen. FiO2: Fraction of inspired oxygen. PEEP : Positive end expiratory pressure.TV: Tidal volume. ABG: Arterial blood gases. PH: potential hydrogen. PaCO2: partial pressure of carbon dioxide. HCO3: Bicarbonate. SO2: blood oxygen saturation. ICU: intensive care unit.

Sedation modality in acute respiratory distress syndrome: does method of sedation affect length of stay, outcomes, or adverse events? A systematic review

IntroductionAcute respiratory distress syndrome (ARDS) is a life-threatening, diffuse inflammatory pulmonary condition characterised by the Berlin criteria. Incidence of ARDS is estimated at 2.5–19% globally with high mortality and morbidity....

The impact and validity of the Berlin criteria on burn-induced ARDS: Examining mortality rates, and inhalation injury influences. A single center observational cohort study

BackgroundAs several recent studies have shown low mortality rates in burn injury induced ARDS early (≤7 days) after the burn, the Berlin criteria for the ARDS diagnosis in this setting may be disputed. Related to this issue, the present study investigated the incidence, trajectory and risk factors of early Acute Respiratory Distress Syndrome (ARDS) and outcome in burn patients, as per the Berlin criteria, along with the concurrent prevalence and influence of inhalation injury, and ventilator-acquired pneumonia (VAP). MethodsOver a 2.5-year period, burn patients with Total Burn Surface Area (TBSA) exceeding 10% admitted to a national burn center were included. The subgroup of interest comprised patients with more than 48 h of ventilatory support. This group was assessed for ARDS, inhalation injury, and VAP. ResultsOut of 292 admissions, 62 sustained burns > 10% TBSA. Of these, 28 (45%) underwent ventilatory support for over 48 h, almost all, 24 out of 28, meeting the criteria for ARDS early, within 7 days post-injury and with a PaO2/FiO2 (PF) ratio nadir at day 5. The mortality rate for this early ARDS group was under 10%, regardless of PF ratios (mean TBSA% 34,8%). Patients with concurrent inhalation injury and early ARDS showed significantly lower PF ratios (p < 0.001), and higher SOFA scores (p = 0.004) but without impact on mortality. Organ failure, indicated by SOFA scores, peaked early (day 3) and declined in the first week, mirroring PF ratio trends (p < 0.001). ConclusionsThe low mortality associated with early ARDS in burn patients in this study challenges the Berlin criteria’s for the early ARDS diagnosis, which for its validity relies on that higher mortality is linked to worsening PF ratios. The finding suggests alternative mechanisms, leading to the early ARDS diagnosis, such as the significant impact of inhalation injury on early PF ratios and organ failure, as seen in this study. The concurrence of early organ failure with declining PF ratios, supports, as expected, the hypothesis of trauma-induced inflammation/multi-organ failure mechanisms contributing to early ARDS. The study highlights the complexity in differentiating between the contributions of inhalation injury to early ARDS and the related organ dysfunction early in the burn care trajectory. The Berlin criteria for the ARDS diagnosis may not be fully applicable in the burn care setting, where the low mortality significantly deviates from that described in the original Berlin ARDS criteria publication but is as expected when considering the actual not very extensive burn injury sizes/Baux scores as in the present study.

Oral beta-hydroxybutyrate alleviates COVID-19 related acute respiratory distress syndrome: A randomized, single-blind, placebo-controlled trial

BackgroundAcute respiratory distress syndrome (ARDS) is a lung complication of COVID-19 that requires intensive care and ventilation. Beta-hydroxybutyrate (BHB) is a ketone body that can modulate metabolism and inflammation in immune cells and lung tissues. We hypothesized that oral BHB could alleviate COVID-19 related ARDS by reducing pro-inflammatory cytokines and increasing anti-inflammatory cytokines. MethodsWe randomized 75 patients with mild (as per Berlin criteria) ARDS symptoms to receive oral 25 g twice daily or placebo for five days. The primary outcome was the change in pro-inflammatory cytokines (Interleukin-1β, Interleukin-6, interleukin-18, tumour necrosis factor-alpha) and anti-inflammatory cytokine (interleukin-10) from baseline to day 5. The secondary outcomes were the change in BHB levels from baseline to day 5, the number of hospitalization days, and the occurrence of adverse events. ResultsTreatment with formulated BHB resulted in a significant decrease in pro-inflammatory cytokines; Interleukin-1β (p = 0.0204), Interleukin-6 (p = 0.0309), interleukin-18 (p = 0.0116), tumour necrosis factor-alpha (p = 0.0489) and increase in interleukin-10 (p = 0.0246) compared treatment with placebo. Importantly, higher BHB levels (p = 0.0001) were observed after supplementation; additionally, patients who underwent this approach were hospitalized for fewer days. No serious adverse events were reported. ConclusionBeta-hydroxybutyrate, an oral adjunct therapy, has shown promising results in ameliorating symptoms of ARDS. This includes reduced inflammation, oxidative stress, and decreased patient fatigue levels. Further study with a large sample size is warranted to assess the potential of BHB therapy's effectiveness in reducing the development of severe illness. Clinical trial registration(http://ctri.nic.in/CTRI/2021/03/031790)

Rapidly improving ARDS differs clinically and biologically from persistent ARDS

BackgroundRapidly improving acute respiratory distress syndrome (RIARDS) is an increasingly appreciated subgroup of ARDS in which hypoxemia improves within 24 h after initiation of mechanical ventilation. Detailed clinical and biological features of RIARDS have not been clearly defined, and it is unknown whether RIARDS is associated with the hypoinflammatory or hyperinflammatory phenotype of ARDS. The purpose of this study was to define the clinical and biological features of RIARDS and its association with inflammatory subphenotypes.MethodsWe analyzed data from 215 patients who met Berlin criteria for ARDS (endotracheally intubated) and were enrolled in a prospective observational cohort conducted at two sites, one tertiary care center and one urban safety net hospital. RIARDS was defined according to previous studies as improvement of hypoxemia defined as (i) PaO2:FiO2 > 300 or (ii) SpO2: FiO2 > 315 on the day following diagnosis of ARDS (day 2) or (iii) unassisted breathing by day 2 and for the next 48 h (defined as absence of endotracheal intubation on day 2 through day 4). Plasma biomarkers were measured on samples collected on the day of study enrollment, and ARDS phenotypes were allocated as previously described.ResultsRIARDS accounted for 21% of all ARDS participants. Patients with RIARDS had better clinical outcomes compared to those with persistent ARDS, with lower hospital mortality (13% vs. 57%; p value < 0.001) and more ICU-free days (median 24 vs. 0; p value < 0.001). Plasma levels of interleukin-6, interleukin-8, and plasminogen activator inhibitor-1 were significantly lower among patients with RIARDS. The hypoinflammatory phenotype of ARDS was more common among patients with RIARDS (78% vs. 51% in persistent ARDS; p value = 0.001).ConclusionsThis study identifies a high prevalence of RIARDS in a multicenter observational cohort and confirms the more benign clinical course of these patients. We report the novel finding that RIARDS is characterized by lower concentrations of plasma biomarkers of inflammation compared to persistent ARDS, and that hypoinflammatory ARDS is more prevalent among patients with RIARDS. Identification and exclusion of RIARDS could potentially improve prognostic and predictive enrichment in clinical trials.

449 Does incorporation of plasma biomarkers to the Lung Injury Prediction Score improve the predictive value for development of acute respiratory distress syndrome?

OBJECTIVES/GOALS: To determine if incorporating specific laboratory values and plasma biomarkers (club cell secretory protein (CC16), matrix metalloproteinase 3 (MMP3), interleukin 8 (IL-8), protein C) to the Lung Injury Prediction (LIP) Score improves the predictive value for development of acute respiratory distress syndrome (ARDS) in ICU patients. METHODS/STUDY POPULATION: Adult patients admitted to the ICU on supplemental oxygen over baseline requirement with a LIP Score ≥6 will be included. Patients admitted to the ICU &gt;24 hours, end-stage renal disease, decompensated heart failure, or &lt;100 µL plasma available will be excluded. Whole blood will be collected from the core lab, centrifuged, and plasma will be stored at -80°C. Protein biomarkers will be measured using enzyme-linked immunosorbent assay. Baseline characteristics, laboratory values, ventilator parameters, and clinical outcomes will be collected from the medical record. ARDS will be defined by the Berlin criteria. Machine learning methods will be used to identify the model with the highest predictive accuracy. Area under the receiver operating characteristic curve of each model will be compared to the LIP Score. RESULTS/ANTICIPATED RESULTS: Research is in progress. Plasma samples and clinical data have been collected for 148 of the 160 samples required to achieve power. Biomarker analysis will take place after sample collection is complete. We anticipate a machine learning model incorporating laboratory values and one or more plasma biomarkers into the LIP Score will outperform the baseline LIP Score for prediction of ARDS development. DISCUSSION/SIGNIFICANCE: Delayed diagnosis and intervention contribute to poor ARDS outcomes. Current predictive models for ARDS have low accuracy and enriching these models with plasma biomarkers may increase their predictive value. Development of accurate models may facilitate earlier ARDS diagnosis and intervention as well as enrichment strategies for ARDS trials.

Predictive role of regional thigh tissue oxygen saturation monitoring during cardiopulmonary bypass in lung injury after cardiac surgery.

Acute respiratory distress syndrome (ARDS) is a serious complication following cardiac surgery mainly associated with the use of cardiopulmonary bypass (CPB), which could increase the risk of mortality and morbidity. This study investigated the association of regional oxygen saturation (rSO2) during CPB with postoperative outcomes, including respiratory function. Patients who underwent cardiac surgery with CPB from 2015 to 2019 were included. Near-infrared spectroscopy was used to monitor rSO2 at the forehead, abdomen, and thighs throughout the surgery. Postoperative markers associated with CPB were assessed for correlations with PaO2/FiO2 (P/F) ratios at intensive care unit (ICU) admission. Postoperative lung injury (LI) was defined as moderate or severe ARDS based on the Berlin criteria, and its incidence was 29.9% (20/67). On multiple regression analysis, the following were associated with P/F ratios at ICU admission: vasoactive-inotropic scores at CPB induction (P = 0.03), thigh rSO2 values during CPB (P = 0.04), and body surface area (P < 0.001). A thigh rSO2 of 71% during CPB was significantly predictive of postoperative LI with an area under the curve of 0.71 (P = 0.03), sensitivity of 0.70, and specificity of 0.68. Patients with postoperative LI had longer ventilation time and ICU stays. Thigh rSO2 values during CPB were a potential predictor of postoperative pulmonary outcomes.

Evaluation of the Prognosis of Patients With Acute Respiratory Distress Syndrome at the Emergency Department Based on the Lung Ultrasound Score.

Acute respiratory distress syndrome (ARDS) is a respiratory disease characterized by a high rate of mortality. Determining the prognosis of this disease is therefore important. Lung ultrasonography has found increased use, especially in the recent years. This study aimed to score patients diagnosed with ARDS at the emergency department using point-of-care ultrasound (POCUS)-Lung and to investigate the prognosis of patients with ARDS using a scoring system. This study was designed as a single-center prospective study. The study was performed in patients admitted to the emergency department and were diagnosed with ARDS pursuant to the Berlin criteria for ARDS and who met the inclusion criteria. The patients underwent lung ultrasonography at the emergency department and were scored (A line: 0; B1 line: 1; B2 line: 2; and C line: 3 points) accordingly. The study included 100 patients with ARDS. The mortality rate was 52% in the patients in the study. The lung ultrasonography score in the mortality group (25.48 ± 3.64) was higher than that in the survivors (8.46 ± 3.61). For a cut-off value of 17.5 for the lung ultrasonography score, the sensitivity and specificity with regard to mortality indicators were 92.8% and 90.9%, respectively (the area under the curve: 0.901; 95% confidence interval: 0.945-0.985: P < .001). The findings suggested that scoring based on POCUS-Lung at the time of initial presentation at the emergency department in patients diagnosed with ARDS according to the Berlin criteria could help determine the prognosis. As POCUS-Lung proved to be an important imaging method in investigating the affected alveolar capacity, we recommend its possible use as a prognostic indicator.

A Survey Exploring Inflammatory Back Pain in Patients With Inflammatory Bowel Disease.

Background Diagnostic delay of axial spondyloarthritis (axSpA) is a widely recognized issue worldwide, providing a great burden for patients with this disease. AxSpA is present in a significant proportion of patients with inflammatory bowel disease (IBD). This UK study primarily aims to identify the presence of inflammatory back pain (IBP) in patients attending IBD clinic.Further aims of this study include investigating if participants had received further referrals and diagnoses for their IBPand considering factors contributing to diagnostic delay. Methods Patients were recruited from a Royal Free London NHS Trust hospital's IBD clinic. Each participant completed a 23-question survey. The Berlin criteria were applied to the questions to investigate the presence of IBP. Further questions were asked about their IBD diagnosis and treatment, the healthcare professionals they had seen for their back pain, and other extra-articular features associated with axSpA. Results Seventy-five patients completed the online survey sent out via email. Forty percent (n = 30) of participants were female and 60% (n = 45) were male.Sixty-one percent (n = 36) of participants from the colitis clinic reported they had back pain, and 41% of the participants reported back pain for over three months. Of these, 39% (12) of participants fulfilled the Berlin criteria for IBP. Of patients experiencing back pain for over three months, we found that 10% (3) fulfilled the Berlin criteria but had not received a diagnosis for their IBP.All patients who had fulfilled the Berlin criteriabut had not received a diagnosis for their IBPhadseen their general practitioner(GP) and an allied healthcare professional, but not a rheumatologist. Conclusions This study highlights the presence of possibly undiagnosed axSpA in patients with IBD.The reasons for the diagnostic delay of axSpA are multifactorial. We consider specific patient characteristics, lack of awareness and education of the condition, and issues in the referral process. There is a need to improve education and awareness of axSpA, reconsider referral processes, and consider new initiatives such as joint specialty clinics to identify and treat axSpA on time.

The Triglycerides and Glucose Index Is an Independent Risk Factor for Acute Respiratory Distress Syndrome in Patients with COVID-19.

Introduction: Although it has been observed that the triglycerides and glucose (TyG) index, a biomarker of insulin resistance, is associated with severity and morbidity by COVID-19, evidence is still scarce. Therefore, the objective of this study was to determine whether the TyG index is associated with both the degree of severity and mortality by acute respiratory distress syndrome (ARDS) in patients with COVID-19. Methods: Men and women aged 20 years or more with diagnosis of COVID-19 were included in a case-control study. Exclusion criteria were pregnancy, cancer, autoimmune diseases, autoimmune treatment, and incomplete data. Patients with severe COVID-19 ARDS were allocated into the case group, and those with mild or moderate COVID-19 ARDS in the control group. COVID-19 was defined by a positive reverse transcriptase-polymerase chain reaction test for SARS-CoV-2, and ARDS was defined according to the Berlin criteria. Results: A total of 206 patients were included and allocated into the case (n = 103) and control (n = 103) groups. The logistic regression analysis adjusted by age, sex, and body mass index showed that the TyG index is significantly associated with moderate [odds ratio (OR) = 6.0; 95% confidence interval (CI): 1.1-30.6] and severe (OR = 9.5; 95% CI: 2.4-37.5) COVID-19 ARDS, and death (OR = 10.1; 95% CI: 2.2-46.5). Conclusion: The results of our study show a significant and independent association of the TyG index with ARDS and mortality in patients with COVID-19.

Association between Age and Mortality in Pediatric and Adult Acute Respiratory Distress Syndrome.

Rationale: The epidemiology, management, and outcomes of acute respiratory distress syndrome (ARDS) differ between children and adults, with lower mortality rates in children despite comparable severity of hypoxemia. However, the relationship between age and mortality is unclear.Objective: We aimed to define the association between age and mortality in ARDS, hypothesizing that it would be nonlinear.Methods: We performed a retrospective cohort study using data from two pediatric ARDS observational cohorts (n = 1,236), multiple adult ARDS trials (n = 5,547), and an adult observational ARDS cohort (n = 1,079). We aligned all datasets to meet Berlin criteria. We performed unadjusted and adjusted logistic regression using fractional polynomials to assess the potentially nonlinear relationship between age and 90-day mortality, adjusting for sex, PaO2/FiO2, immunosuppressed status, year of study, and observational versus randomized controlled trial, treating each individual study as a fixed effect.Measurements and Main Results: There were 7,862 subjects with median ages of 4 years in the pediatric cohorts, 52 years in the adult trials, and 61 years in the adult observational cohort. Most subjects (43%) had moderate ARDS by Berlin criteria. Ninety-day mortality was 19% in the pediatric cohorts, 33% in the adult trials, and 67% in the adult observational cohort. We found a nonlinear relationship between age and mortality, with mortality risk increasing at an accelerating rate between 11 and 65 years of age, after which mortality risk increased more slowly.Conclusions: There was a nonlinear relationship between age and mortality in pediatric and adult ARDS.

Obesity and acute type A aortic dissection: unraveling surgical outcomes through the lens of the upper hemisternotomy approach.

Acute type A aortic dissection (ATAAD) is a pressing cardiovascular emergency necessitating prompt surgical intervention. Obesity, a pervasive health concern, has been identified as a significant risk factor for ATAAD, introducing unique surgical challenges that can influence postoperative outcomes. This study aimed to investigate the outcomes of ATAAD surgery across various body mass index (BMI) categories, focusing on the implications of the upper hemisternotomy (UHS) approach. Between April 2017 and October 2023, 229 patients diagnosed with ATAAD underwent aortic arch intervention via UHS at the General Hospital of Northern Theater Command. Based on BMI (WS/T 428-2013), patients were categorized into normal weight, overweight, and obese. The primary outcomes included perioperative parameters, intraoperative details, and postoperative complications, with specific emphasis on hypoxemia, defined by the Berlin criteria as a PaO2/FiO2 ratio of ≤300 mmHg. The average age of the cohort was 50.1 ± 11.2 years with a male predominance (174 males). Preoperatively, 49.0% presented with hypoxemia, with the Obese group exhibiting a significantly elevated rate (77.9%, P < 0.001). Postoperatively, while the Normal group demonstrated a lower thoracic drainage volume 24 h post-surgery [180.0 (140.0) ml; P < 0.001], the Obese group indicated prolonged durations for mechanical ventilation and ICU stay, without statistical significance. Unlike the Normal and Overweight groups, the Obese group showed no notable changes in pre- and postoperative PaO2/FiO2 ratio. No significant difference was observed in severe postoperative complications among the groups. Further ROC curve analysis identifies a BMI cutoff of 25.5 for predicting postoperative hypoxemia, with 76.3% sensitivity and 84.4% specificity. And multivariate analysis reveals BMI and preoperative hypoxemia as independent predictors of postoperative hypoxemia. Obesity, although presenting unique challenges in ATAAD interventions, does not necessarily portend adverse outcomes when managed with meticulous surgical planning and postoperative care. The study emphasizes the significance of individualized patient assessment and tailoring surgical strategies, suggesting the potential of UHS in addressing the surgical intricacies posed by obesity in ATAAD patients. Further research is warranted to consolidate these findings.

Identification of four latent classes of acute respiratory distress syndrome using PaO2/FIO2 ratio: an observational cohort study

Biological phenotypes in patients with the acute respiratory distress syndrome (ARDS) have previously been described. We hypothesized that the trajectory of PaO2/FIO2 ratio could be used to identify phenotypes of ARDS. We used a retrospective cohort analysis of an ARDS database to identify latent classes in the trajectory of PaO2/FIO2 ratio over time. We included all adult patients admitted to an intensive care unit who met the Berlin criteria for ARDS over a 4-year period in tertiary adult intensive care units in Manitoba, Canada. Baseline demographics were collected along with the daily PaO2/FIO2 ratio collected on admission and on days 1–7, 14 and 28. We used joint growth mixture modeling to test whether ARDS patients exhibit distinct phenotypes with respect to both longitudinal PaO2/FIO2 ratio and survival. The resulting latent classes were compared on several demographic variables. In our study group of 209 patients, we found that four latent trajectory classes of PaO2/FIO2 ratio was optimal. These four classes differed in their baseline PaO2/FIO2 ratio and their trajectory of improvement during the 28 days of the study. Despite similar baseline characteristics the hazard for death for the classes differed over time. This difference was largely driven by withdrawal of life sustaining therapy in one of the classes. Latent classes were identified in the trajectory of the PaO2/FIO2 ratio over time, suggesting the presence of different ARDS phenotypes. Future studies should confirm the existence of this finding and determine the cause of mortality differences between classes.

Neutrophil-to-Lymphocyte Ratio and Thrombocyte-to-Lymphocyte Ratio as a Predictor of Severe and Moderate/Mild Acute Respiratory Distress Syndrome Patients: Preliminary Results.

Acute respiratory distress syndrome (ARDS) represents a major cause of mortality in the intensive care unit (ICU). The inflammatory response is escalated by the cytokines and chemokines released by neutrophils, therefore the search for quantifying the impact of this pathophysiological mechanism is imperative. Neutrophil/lymphocyte ratio (NLR) and platelet/lymphocyte ratio (PLR) are indicators of systemic inflammation, widely accessible, inexpensive, and uncomplicated parameters. We conducted a prospective study between March 2023 and June 2023 on patients which presented Berlin criteria for the diagnosis of ARDS during the first 24 hours from admission in the ICU. We included 33 patients who were divided into two groups: one group of 11 patients with severe ARDS and the second group of 22 patients with moderate/mild ARDS. The study evaluated demographic characteristics, leukocyte, lymphocyte, neutrophil, and platelet counts, as well as NLR and PLR values from complete blood count, and severity scores (APACHE II score and SOFA score). We investigated the correlation of NLR and PLR in the two main groups (severe and moderate/mild acute respiratory distress syndrome patients). For the NLR ratio statistically significant differences between the two groups are noted: Severe ARDS 24.29(1.13-96) vs 15.67(1.69-49.71), p=0.02 For the PLR ratio, we obtained significant differences within the group presenting severe ARDS 470.3 (30.83-1427) vs. the group presenting mild/moderate ARDS 252.1 (0-1253). The difference between the two groups is statistically significant (0.049, p<0.05). The cut-off value of NLR resulted to be 23.64, with an Area Under the Curve (AUC) of 0.653 (95% CI: 0.43-0.88). The best cut-off value of PLR was performed to be 435.14, with an Area Under the Curve (AUC) of 0.645 (95% CI: 0.41-0.88). Our study showed that NLR and PLR ratios 24 hours in patients with moderate/severe ARDS diagnosis can be a good predictor for severity of the disease. These biomarkers could be used in clinical practice due to their convenience, inexpensiveness, and simplicity of parameters. However, further investigations with larger populations of ARDS patients are necessary to support and validate these current findings.