Unveiling Pathophysiological Insights: Serum Metabolic Dysregulation in Acute Respiratory Distress Syndrome Patients with Acute Kidney Injury.
Journal of proteome research
Acute respiratory distress syndrome (ARDS) is associated with high mortality rates, which are further exacerbated when accompanied by acute kidney injury (AKI). Presently, there is a lack of comprehensive studies thoroughly elucidating the metabolic dysregulation in ARDS patients with AKI leading to poor outcomes. We hypothesized that metabolomics can be a potent tool to highlight the differences in the metabolic profile unraveling unidentified pathophysiological mechanisms of ARDS patients with and without AKI. H nuclear magnetic resonance spectroscopy was used to identify key metabolites in the serum samples of 75 patients. Distinct clusters of both groups were obtained as the study's primary outcome using multivariate analysis. Notable alternations in the levels of nine metabolites were identified. Pathway analysis revealed the dysregulation of five significant cycles, which resulted in various complications, such as hyperammonemia, higher energy requirements, and mitochondrial dysfunction causing oxidative stress. Identified metabolites also showed a significant correlation with clinical scores, indicating severity. This study shows the alterations in the metabolite concentration highlighting the difference in the pathophysiology of both patient groups and its association with outcome, pointing in the direction of a personalized medicine approach and holding significant promise for application in critical care settings to improve clinical outcomes.
10.1021/acs.jproteome.4c00138
Clinical and biologic profiles of patients with acute respiratory distress syndrome by prevalence of chronic obstructive pulmonary disease or emphysema; a cohort study.
Respiratory research
INTRODUCTION:Acute respiratory distress syndrome (ARDS) is characterized by diffuse lung injury. The impact of pre-existing chronic obstructive pulmonary disease (COPD) or emphysema on ARDS pathogenesis is not well characterized. METHODS:Secondary analysis of ARDS patients enrolled in the Acute Lung Injury Registry and Biospecimen Repository at the University of Pittsburgh between June 2012 and September 2021. Patients were categorized into two mutually exclusive groups by the prevalence of COPD or emphysema at the time of ARDS diagnosis. The COPD/emphysema group comprised ARDS patients with radiological evidence of emphysema, chart diagnosis of COPD, or both. Demographics, lung mechanics, and clinical outcomes were obtained from the electronic medical record. Host-response biomarkers known to have validated associations with ARDS were previously measured in plasma and lower respiratory tract samples using a customized Luminex assay. Continuous and categorical variables were compared between groups with and without COPD/emphysema. RESULTS:217 patients with ARDS were included in the study, 57 (27%) had COPD/emphysema. Patients with COPD/emphysema were older (median 62 [interquartile range 55-69] versus 53 [41-64] years, p < 0.01), more likely to be male (62% vs. 44%, p = 0.02) and had a higher prevalence of congestive heart failure (25% vs. 4%, p < 0.01) compared to patients without COPD/emphysema. Baseline demographics, laboratory parameters, and mechanical ventilatory characteristics were otherwise similar between the two groups. No difference in 90-day mortality was observed between groups; however, patients with COPD/emphysema had shorter duration of intensive care unit (ICU) stay (median 10 [7-18] versus 16 [9-28] days, p = 0.04) and shorter duration of mechanical ventilation (median 7 [4-16] vs. 12 [6-20] days, p = 0.01). Host response biomarkers in serum and lower respiratory tract samples did not significantly differ between groups. CONCLUSION:ARDS patients with COPD or emphysema had similar respiratory mechanics, host response biomarker profiles, and mortality compared to those without COPD or emphysema but with a shorter median duration of mechanical ventilation and ICU length of stay. Future studies should address differences in clinical and biological responses by disease severity, and should investigate the impact of severity of COPD and emphysema on mechanical ventilation and targeted therapeutic strategies in ARDS. CLINICAL TRIAL NUMBER:Not applicable.
10.1186/s12931-024-03027-2
Quantification of pulmonary edema using automated lung segmentation on computed tomography in mechanically ventilated patients with acute respiratory distress syndrome.
Intensive care medicine experimental
BACKGROUND:Quantification of pulmonary edema in patients with acute respiratory distress syndrome (ARDS) by chest computed tomography (CT) scan has not been validated in routine diagnostics due to its complexity and time-consuming nature. Therefore, the single-indicator transpulmonary thermodilution (TPTD) technique to measure extravascular lung water (EVLW) has been used in the clinical setting. Advances in artificial intelligence (AI) have now enabled CT images of inhomogeneous lungs to be segmented automatically by an intensive care physician with no prior radiology training within a relatively short time. Nevertheless, there is a paucity of data validating the quantification of pulmonary edema using automated lung segmentation on CT compared with TPTD. METHODS:A retrospective study (January 2016 to December 2021) analyzed patients with ARDS, admitted to the intensive care unit of the Department of Anesthesiology and Critical Care Medicine, University Hospital Mannheim, who underwent a chest CT scan and hemodynamic monitoring using TPTD at the same time. Pulmonary edema was estimated using manually and automated lung segmentation on CT and then compared to the pulmonary edema calculated from EVLW determined using TPTD. RESULTS:145 comparative measurements of pulmonary edema with TPTD and CT were included in the study. Estimating pulmonary edema using either automated lung segmentation on CT or TPTD showed a low bias overall (- 104 ml) but wide levels of agreement (upper: 936 ml, lower: - 1144 ml). In 13% of the analyzed CT scans, the agreement between the segmentation of the AI algorithm and a dedicated investigator was poor. Manual segmentation and automated segmentation adjusted for contrast agent did not improve the agreement levels. CONCLUSIONS:Automated lung segmentation on CT can be considered an unbiased but imprecise measurement of pulmonary edema in mechanically ventilated patients with ARDS.
10.1186/s40635-024-00685-w
Artificial Intelligence for Mechanical Ventilation: A Transformative Shift in Critical Care.
Therapeutic advances in pulmonary and critical care medicine
With the large volume of data coming from implemented technologies and monitoring systems, intensive care units (ICUs) represent a key area for artificial intelligence (AI) application. Despite the last decade has been marked by studies focused on the use of AI in medicine, its application in mechanical ventilation management is still limited. Optimizing mechanical ventilation is a complex and high-stake intervention, which requires a deep understanding of respiratory pathophysiology. Therefore, this complex task might be supported by AI and machine learning. Most of the studies already published involve the use of AI to predict outcomes for mechanically ventilated patients, including the need for intubation, the respiratory complications, and the weaning readiness and success. In conclusion, the application of AI for the management of mechanical ventilation is still at an early stage and requires a cautious and much less enthusiastic approach. Future research should be focused on AI progressive introduction in the everyday management of mechanically ventilated patients, with the aim to explore the great potentiality of this tool.
10.1177/29768675241298918
Rapid Shallow Breathing Index and Ultrasonographic Diaphragmatic Parameters as Predictors of Weaning Outcome in Critically Ill Patients on Mechanical Ventilation.
Annals of African medicine
BACKGROUND:Successful weaning is a crucial element in care toward critically ill patients on mechanical ventilation. An attempt was made to propose and assess a reliable predictor of weaning outcome. MATERIALS AND METHODS:A prospective observational study was conducted on 76 patients on mechanical ventilation, assessed by Acute Physiology and Chronic Health Evaluation II (APACHE II) score. For all these patients we calculate Rapid shallow breathing index (RSBI), Ultrasonographic diaphragmatic parameters namely diaphragmatic excursion (DEx), diaphragmatic thickening fraction (DTF) and diaphragmatic contraction velocity (DCV). Values were compared among patients with two groups of successful and failed weaning outcomes, respectively, and statistically analyzed. RESULTS:Of 76 patients included in the study, with ultrasonographic diaphragmatic parameters being measured 30 min into SBT, 71 patients tolerated spontaneous breathing test (SBT) for 2 h and were extubated. Of these, 61 patients did not require reintubation or any form of ventilatory support within 48 h after extubation. There was a statistically significant difference in APACHE II scores, duration of ventilation, oxygen saturation levels, RSBI, DEx, DTF, and DCV between groups of patients who showed successful and failed weaning from mechanical ventilation. There were a significant positive correlation between the duration of ventilation and the RSBI and a significant negative correlation between DEx, DCV, DTF, and duration of ventilation. As predictors of weaning outcome, RSBI showed the best validity, followed by DCV, DTF, and DEx. CONCLUSION:RSBI can be reliably used as a predictor of weaning outcome in critically ill patients on mechanical ventilation.
10.4103/aam.aam_45_24
Effects of acetaminophen use on mortality of patients with acute respiratory distress syndrome: secondary data mining based on the MIMIC-IV database.
BMC pulmonary medicine
BACKGROUND:Acetaminophen is a commonly used analgesic after surgery, and its impact on prognosis in patients with acute respiratory distress syndrome (ARDS) has not been studied. This study explores the association between the use of acetaminophen and the risk of mortality in patients with ARDS. METHODS:In this retrospective cohort study, 3,227 patients with ARDS who had or had not received acetaminophen were obtained from the Medical Information Mart for Intensive Care IV, patients were divided into acetaminophen and non- acetaminophen groups. In-hospital mortality of ARDS patients was considered as primary end point. We used univariate and multivariate Cox regression analyses to assess the relationship of acetaminophen use and in-hospital mortality in patients with ARDS. Subgroup analysis was performed according to age, gender, and severity of ARDS. RESULTS:Of the total patients, 2,438 individuals were identified as acetaminophen users. The median duration of follow-up was 10.54 (5.57, 18.82) days. The results showed that the acetaminophen use was associated with a decreased risk of in-hospital mortality [hazard ratio (HR) = 0.67, 95% confidence interval (CI): 0.57-0.78]. Across various subgroups of patients with ARDS based on age, gender, and severity, acetaminophen use exhibited an association with reduced risk of in-hospital mortality. CONCLUSION:Acetaminophen use was associated with in-hospital mortality of patients with ARDS. Acetaminophen therapy may represent a promising therapeutic option for ARDS patients and warrants further investigation.
10.1186/s12890-024-03379-x
Early physiologic changes after awake prone positioning predict clinical outcomes in patients with acute hypoxemic respiratory failure.
Intensive care medicine
PURPOSE:The optimal physiologic parameters to monitor after a session of awake prone positioning in patients with acute respiratory failure are not well understood. This study aimed to identify which early physiologic changes after the first session of awake prone positioning are linked to the need for invasive mechanical ventilation or death in patients with acute respiratory failure. METHODS:We performed a secondary analysis of a prospective cohort study of adult patients with acute respiratory failure related to coronavirus disease 2019 (COVID-19) treated with awake prone positioning. We assessed the association between relative changes in physiological variables (oxygenation, respiratory rate, pCO and respiratory rate-oxygenation [ROX] index) within the first 6 h of the first awake prone positioning session with treatment failure, defined as endotracheal intubation and/or death within 7 days. RESULTS:244 patients [70 female (29%), mean age 60 (standard deviation [SD] 13) years] were included. Seventy-one (29%) patients experienced awake prone positioning failure. ROX index was the main physiologic predictor. Patients with treatment failure had lower mean [SD] ROX index at baseline [5 (1.4) versus 6.6 (2.2), p < 0.0001] and within 6 h of prone positioning [5.6 (1.7) versus 8.7 (2.8), p < 0.0001]. After adjusting for baseline characteristics and severity, a relative increase of the ROX index compared to baseline was associated with lower odds of failure [odds ratio (OR) 0.37; 95% confidence interval (CI) 0.25-0.54 every 25% increase]. CONCLUSION:Relative changes in the ROX index within 6 h of the first awake prone positioning session along with other known predictive factors are associated with intubation and mortality at day 7.
10.1007/s00134-024-07690-3
Impacts of initial ICU driving pressure on outcomes in acute hypoxemic respiratory failure: a MIMIC-IV database study.
Scientific reports
Driving pressure (DP) is a marker of severity of lung injury in patients with acute respiratory distress syndrome (ARDS) and has a strong association with outcome. However, it is uncertain whether limiting DP can reduce the mortality of patients with acute hypoxemic respiratory failure (AHRF). Therefore, this study aimed to determine the correlation between the initial DP setting and the clinical outcomes of patients with AHRF upon their initial admission to the intensive care unit (ICU). The Medical Information Mart for Intensive Care IV (MIMIC-IV) database was used to search the data of patients with AHRF, with 180-day mortality representing the primary outcome. Multiple regression analysis was subsequently performed to evaluate the initial DP and 180-day mortality association. The reliability of the results was validated using restricted cubic splines and interaction studies. This study retrospectively analyzed data from 907 patients-581 (64.06%) in the survival group and 326 (35.94%) in the nonsurvival group (NSG)-who were followed up 180 days after admission. The results revealed that an elevated initial DP was significantly correlated with 180-day mortality (HR 1.071 (95% CI 1.040, 1.102)), especially when the initial DP exceeded 12 cmHO. AHRF patients with an initial DP > 12 cmHO had significantly greater mortality at 28 days (p = 0.0082), 90 days (p = 0.0083), and 180 days (p = 0.0039) than those with an initial DP ≤ 12 cmHO. Among severe patients with AHRF, 180-day mortality was significantly greater in the group with an initial DP > 12 cmHO than in the group with an initial DP ≤ 12 cmHO (p = 0.029). The hospital length of stay (LOS) for patients with an initial DP < 12 cmHO was significantly longer than that for those with an initial DP > 12 cmHO (p = 0.029). Among patients with AHRF and an initial DP > 12 cmHO, the survival group had a significantly longer LOS in the ICU than the NSG (p = 0.00026). The initial DP settings were correlated with 180-day mortality among patients with AHRF admitted to the ICU. Particularly for patients with AHRF, it is crucial to consider implementing early restrictive DP ventilation as a potential means to mitigate mortality, and close monitoring is essential to evaluate its impact.
10.1038/s41598-024-80355-9
Predictive value of triglyceride-glucose index for the occurrence of acute respiratory failure in asthmatic patients of MIMIC-IV database.
Scientific reports
This study aims to investigate the association between the triglyceride-glucose (TyG) index and the occurrence of acute respiratory failure in asthma patients. This retrospective observational cohort study utilized data from the Medical Information Mart for Intensive Care IV (MIMIC-IV 2.2) database. The primary outcome was the development of acute respiratory failure in asthma patients. Initially, the Boruta algorithm and SHapley Additive exPansions were applied to preliminarily determine the feature importance of the TyG index, and a risk prediction model was constructed to evaluate its predictive ability. Secondly, Logistic regression proportional hazards models were employed to assess the association between the TyG index and acute respiratory failure in asthma patients. Finally, subgroup analyses were conducted for sensitivity analyses to explore the robustness of the results. A total of 751 asthma patients were included in the study. When considering the TyG index as a continuous variable, logistic regression analysis revealed that in the unadjusted Model 1, the odds ratio (OR) was 2.381 (95% CI: 1.857-3.052; P < 0.001), in Model II, the OR was 2.456 (95% CI: 1.809-3.335; P < 0.001), and in the multivariable-adjusted model, the OR was 1.444 (95% CI: 1.029-2.028; P = 0.034). A consistent association was observed between the TyG index and the risk of acute respiratory failure in asthma patients. No significant interaction was found between the TyG index and various subgroups (P > 0.05). Furthermore, machine learning results indicated that an elevated TyG index was a significant feature predictive of respiratory failure in asthma patients. The baseline risk model achieved an AUC of 0.743 (95% CI: 0.679-0.808; P < 0.05), whereas the combination of the baseline risk model with the TyG index yielded an AUC of 0.757 (95% CI: 0.694-0.821; P < 0.05). The TyG index can serve as a predictive indicator for acute respiratory failure in asthma patients, albeit confirmation of these findings requires larger-scale prospective studies.
10.1038/s41598-024-74294-8