OBJECTIVE: To explore the correlation between mechanical power normalized to dynamic lung compliance (Cdyn-MP) and weaning outcomes and prognosis in mechanically ventilated patients. METHODS: A prospective, observational cohort study was conducted. Patients who underwent invasive mechanical ventilation (IMV) for more than 24 hours and used a T-tube ventilation strategy for extubation in the intensive care unit (ICU) of Lianyungang First People's Hospital and Lianyungang Second People's Hospital between January 2022 and December 2023 were enrolled. The collected data encompassed patients' baseline characteristics, primary causes of ICU admission, vital signs and laboratory indicators during the initial spontaneous breathing trial (SBT), respiratory mechanics parameters within the 4-hour period prior to the SBT, weaning outcomes and prognostic indicators. Mechanical power (MP) and Cdyn-MP were calculated using a simplified MP equation. Univariate and multivariate Logistic regression analyses were utilized to determine the independent risk factors associated with weaning failure in patients undergoing mechanical ventilation. Restricted cubic spline (RCS) analysis and Spearman rank-sum test were employed to investigate the correlation between Cdyn-MP and weaning outcomes as well as prognosis. Receiver operator characteristic curve (ROC curve) was constructed, and the area under the ROC curve (AUC) was computed to evaluate the predictive accuracy of Cdyn-MP for weaning outcomes in mechanically ventilated patients. RESULTS: A total of 366 patients undergoing IMV were enrolled in this study, with 243 cases classified as successful weaning and 123 cases classified as failed weaning. Among them, 23 patients underwent re-intubation within 48 hours after the successful withdrawal of the first SBT, non-invasive ventilation, or died. Compared with the successful weaning group, the patients in the failed weaning group had significantly increased levels of sequential organ failure assessment (SOFA) score, body temperature and respiratory rate (RR) during SBT, and respiratory mechanical parameters within the 4-hour period prior to the SBT [ventilation frequency, positive end-expiratory pressure (PEEP), platform pressure (Pplat), peak inspiratory pressure (Ppeak), dynamic driving pressure (ΔPaw), fraction of inspired oxygen (FiO₂), MP, and Cdyn-MP], dynamic lung compliance (Cdyn) was significantly reduced, and duration of IMV, ICU length of stay, and total length of hospital stay were significantly prolonged. However, there were no statistically significant differences in age, gender, body mass index (BMI), smoking history, main causes of ICU admission, other vital signs [heart rate (HR), mean arterial pressure (MAP), saturation of peripheral oxygen (SpO₂)] and laboratory indicators [white blood cell count (WBC), albumin (Alb), serum creatinine (SCr)] during SBT of patients between the two groups. Univariate Logistic regression analysis was conducted, and variables with P < 0.05 and no multicollinearity with Cdyn-MP were selected for inclusion in the multivariate Logistic regression model. The results demonstrated that SOFA score [odds ratio (OR) = 1.081, 95% confidence interval (95%CI) was 1.008-1.160, P = 0.030], and PEEP (OR = 1.191, 95%CI was 1.075-1.329, P = 0.001), FiO₂ (OR = 1.035, 95%CI was 1.006-1.068, P = 0.021) and Cdyn-MP (OR = 1.190, 95%CI was 1.086-1.309, P < 0.001) within the 4-hour period prior to the SBT were independent risk factors for weaning failure in patients undergoing IMV. The RCS analysis after adjusting for confounding factors showed that as Cdyn-MP within the 4-hour period prior to the SBT increased, the risk of weaning failure in patients undergoing IMV significantly increased (P < 0.001). The Spearman rank correlation test showed that Cdyn-MP within the 4-hour period prior to the SBT was positively correlated with respiratory mechanical parameters including ΔPaw and MP (r values were 0.773 and 0.865, both P < 0.01), and negatively correlated with Cdyn (r = -0.587, P < 0.01). Cdyn-MP within the 4-hour period prior to the SBT was positively correlated with prognostic indicators such as duration of IMV, length of ICU stay, and total length of hospital stay (r values were 0.295, 0.196, and 0.120, all P < 0.05). ROC curve analysis demonstrated that, within the 4-hour period preceding the SBT, Cdyn-MP, MP, Cdyn, and ΔPaw possessed predictive value for weaning failure in patients undergoing IMV. Notably, Cdyn-MP exhibited superior predictive capability, evidenced by an AUC of 0.761, with a 95%CI ranging from 0.712 to 0.810 (P < 0.001). At the optimal cut-off value of 408.5 J/min×cmH₂O/mL×10^-3, the sensitivity was 68.29%, and the specificity was 71.19%. CONCLUSION Cdyn-MP is related to weaning outcomes and prognosis in mechanically ventilated patients, and has good predictive ability in assessing the risk of weaning failure.
Humans ; Prospective Studies ; Ventilator Weaning ; Prognosis ; Respiration, Artificial ; Intensive Care Units ; Lung Compliance ; Female ; Male ; Middle Aged ; Aged

Mechanical ventilation (MV) is currently widely used in the treatment of respiratory failure and anesthesia surgery, and is a commonly used respiratory support method for critically ill patients; however, improper usage of MV can lead to ventilator-induced lung injury (VILI), which poses a significant threat to patient life. Alveolar epithelial cell (AEC) has the functions of mechanosensation and mechanotransduction. Physiological mechanical stretching is beneficial for maintaining the lineage homeostasis and normal physiological functions of AEC cells, while excessive mechanical stretching can cause damage to AEC cells. Damage to AEC cells is an important aspect in the occurrence and development of VILI. Understanding the effects of mechanical stretching on AEC cells is crucial for developing safe and effective MV strategies, preventing the occurrence of VILI, and improving the clinical prognosis of VILI patients. From the perspective of cell mechanics, this paper aims to briefly elucidate the mechanical properties of AEC cells, mechanosensation and mechanotransduction of mechanical stretching in AEC cells, and the injury and repair of AEC cells under mechanical stretch stimulation, and potential mechanisms with the goal of helping clinical doctors better understand the pathophysiological mechanism of VILI caused by MV, improve their understanding of VILI, provide safer and more effective strategies for the use of clinical MV, and provide theoretical basis for the prevention and treatment of VILI.
Humans ; Mechanotransduction, Cellular ; Ventilator-Induced Lung Injury ; Stress, Mechanical ; Alveolar Epithelial Cells ; Respiration, Artificial/adverse effects* ; Epithelial Cells ; Pulmonary Alveoli/cytology* ; Animals

OBJECTIVE: To investigate the correlation between nucleated red blood cell (NRBC) level on the first day of intensive care unit (ICU) admission and 28-day mortality in adult septic patients, and to evaluate the value of NRBC as an independent predictor of death. METHODS: Single-cell transcriptomic analysis was performed using the GSE167363 dataset from the Gene Expression Omnibus (including 2 healthy controls, 3 surviving septic patients, and 2 non-surviving septic patients). A retrospective clinical analysis was conducted using the America Medical Information Mart for Intensive Care-IV (MIMIC-IV) database, including adult patients (≥ 18 years) with first-time admission who met the Sepsis-3.0 criteria, excluding those without NRBC testing on the first ICU day. The demographic information, vital signs, laboratory test indicators, disease severity score and survival data on the first day of admission were collected. The restricted cubic spline (RCS) curve was used to determine the optimal cut-off value of NRBC for predicting 28-day mortality in patients. Patients were divided into low-risk and high-risk groups based on this cut-off value for intergroup comparison, with Kaplan-Meier survival curve analysis conducted. Independent risk factors for 28-day mortality were analyzed using Logistic regression and Cox regression analysis, followed by the construction of regression models. RESULTS: NRBC were detected in the peripheral blood of septic patients by single-cell transcriptomic. A total of 1 291 sepsis patients were included in the clinical analysis, with 576 deaths within 28 days, corresponding to a 28-day mortality of 44.6%. RCS curve analysis showed a nonlinear relationship between the first-day NRBC level and the 28-day mortality. When NRBC ≥ 1%, the 28-day mortality of patients increased significantly. Compared to the low-risk group (NRBC < 1%), the high-risk group (NRBC ≥ 1%) had significantly higher respiratory rate, heart rate, sequential organ failure assessment (SOFA), and simplified acute physiology score II (SAPSII), and significantly lower hematocrit and platelet count. The high-risk group also had a significantly higher 28-day mortality [49.8% (410/824) vs. 35.5% (166/467), P < 0.05], and shorter median survival time (days: 29.8 vs. 208.6, P < 0.05). Kaplan-Meier survival curve showed that compared with the low-risk group, the survival time of high-risk group was significantly shortened (Log-rank test: χ ² = 25.1, P < 0.001). After adjusting for potential confounding factors including body mass, temperature, heart rate, respiratory rate, mean arterial pressure, serum creatinine, pulse oximetry saturation, hemoglobin, hematocrit, Na⁺, K⁺, platelet count, and SOFA score, multivariate regression analysis confirmed that NRBC ≥ 1% was an independent risk factor for 28-day mortality [Logistic regression: odds ratio (OR) = 1.464, 95% confidence interval (95%CI) was 1.126-1.902, P = 0.004; Cox regression: hazard ratio (HR) = 1.268, 95%CI was 1.050-1.531, P = 0.013]. CONCLUSIONS NRBC ≥ 1% on the first day of ICU admission is an independent risk factor for 28-day mortality in septic patients and can serve as a practical indicator for early prognostic assessment.
Humans ; Sepsis/blood* ; Intensive Care Units ; Risk Factors ; Retrospective Studies ; Prognosis ; Male ; Female ; Hospital Mortality ; Middle Aged ; Aged

Objective:To explore the predictive value of myocardial work echocardiography on short-term mortality of patients with sepsis and septic shock(SSS).Methods:Patients who hospitalized in the ICU department of the Affiliated Lianyungang Hospital of Xuzhou Medical University from September 2022 to December 2023 were selected through prospective research.These patients,who need use vasopressor drugs,appeared clinical symptoms of sepsis and occurred septic shock.A total of 33 adult patients were continuously enrolled.According to whether patients with SSS died or survived within 28 days,they were divided into a survival group(23 cases)and a non-survival group(10 cases).The changes of myocardial function,serum lactic acid level,white blood cell(WBC)count,c-reactive protein(CRP)and other indexes were compared and assessed between the two groups after admission,and the predictive value of these parameters on short-term mortality in patients with sepsis and septic shock was investigated.Results:On the 3rd day after admission of patients with sepsis and septic shock,the heart rate,serum lactic acid level,white blood cell(WBC)count,global wasted work(GWW),and high-sensitivity cardiac troponin Ⅰ(hs-cTnⅠ)of non-survival group significantly higher than those of survival group(Z=-2.668,-2.550,-2.338,-2.175,-2.998,P＜0.05),and the global work efficiency(GWE)of non-survival group significantly decreased(Z=-2.311,P＜0.05).On the 5th day after admission,the heart rate,serum lactic acid level,WBC count,c-reactive protein(CRP)level of non-survival group significantly increased(Z=-3.073,-2.494,-3.408,-2.999,P＜0.05),and the pH value and global work index(GWI)of that significantly decreased(Z=-1.997,-2.546,P＜0.05).Serum lactic acid on the 3rd day and global work index on the 5th day were respectively independent risk factors for 28-day mortality in SSS patients after admission(OR=5.120,0.997,P＜0.05).On the 5rd GwI and serum lactic acid on the 3rd have similar values in predicting 28-day mortality in SSS patients[area under curve(AUC)value of receiver operating characteristics(ROC)curve of them were respectively 0.784 and 0.801,P＞0.05].Conclusion:Myocardial work echocardiography is helpful to identify the high risk of short-term death of SSS patients.Serum lactic acid of the 3rd day and global work index of the 5th day after admission are respectively independent risk factors for 28-day death in SSS patients.

Objective:To investigate the role and mechanism of molecular hydrogen in lipopolysaccharide (LPS)-induced acute lung injury (ALI).Methods:Balb/c male mice were randomly(random number) divided into control group, control+H 2, LPS and LPS+H 2 group with 6 mice in each group. The levels of malondialdehyde (MDA) and Fe 2+ in lung tissue were detected by kits. The lung tissue morphology was observed. The infiltration levels of F4/80 positive macrophages in lung tissue were detected by immunofluorescence staining. A549 cells were divided into control, control+H 2, erastin and erastin+H 2 group. The reactive oxygen species (ROS), malondialdehyde, (MDA), lactate dehydrogenase (GSH), number of cell death and lactate dehydrogenase (LDH) release in each group were detected by kits. Nrf2, GPX4, and HO-1mRNA were quantified by real-time PCR, the protein expression level of Nrf2 was detected by western blot, and the nuclear translocation level of Nrf2 was observed by immunofluorescence. The chi-square test was performed before the measurement data were counted. One-way analysis of variance was used to compare differences between multiple groups. Results:Compared with the control group, the histopathological damage was aggravated, and the levels of MDA, Fe 2+ significantly increased in the LPS group, and F4/80 positive immune cells infiltration significantly increased (all P<0.05). Compared with LPS group, the degree of lung injury in LPS+H 2 group significantly reduced (all P<0.05). In vitro experiments, compared with the control group, the ROS, MDA levels, number of cell death and LDH release significantly increased in erastin group (all P<0.05), while GSH, and GPX4 mRNA levels decreased (all P<0.05). HO-1mRNA and Nrf2 nuclear translocation levels increased (all P<0.05). Compared with erastin group, ROS, MDA levels, cell death number and LDH release decreased in earstin+H 2 group (all P<0.05). The levels of GSH, GPX4 mRNA, Nrf2 mRNA, HO-1 mRNA and Nrf2 nuclear translocation levels increased (all P<0.05). Conclusions:Molecular hydrogen attenuates LPS-induced ALI by promoting Nrf2 nuclear translocation to inhibit ferroptosis of alveolar epithelial cells.

BACKGROUND:It has been shown that neural stem cells can differentiate into neurons,astrocytes,and oligodendrocytes.Mesenchymal stem cells-derived extracellular vesicles have also been shown to cross the blood-brain barrier to reach sites of central nervous injury and promote neural repair.However,it is not clear whether neuron-derived extracellular vesicles promote the differentiation of neural stem cells in a direction that is beneficial for neurogenesis. OBJECTIVE:To investigate whether neuron-derived extracellular vesicles facilitate neural stem cell differentiation towards neurogenesis. METHODS:Neurons and neural stem cells were extracted from neonatal SD rat cerebral cortex by trypsin digestion.Cell supernatants of neurons were collected.Neuron-derived extracellular vesicles were extracted.Neural stem cells cultured for 10 days were co-cultured with neuron-derived extracellular vesicles or PBS for 7 days.Immunoblotting,immunofluorescence,and RT-qPCR were used to detect proteins specifically expressed by neurons,neural stem cells,oligodendrocytes,and astrocytes. RESULTS AND CONCLUSION:The neural stem cells co-cultured with neuron-derived extracellular vesicles showed high expression of neuron-specific proteins and oligodendrocyte-specific proteins including β3-tubulin,neurofilament 200 and myelin basic protein,and low expression of astrocyte-specific protein glial fibrillary acidic protein.These results suggest that neuron-derived extracellular vesicles can promote the differentiation of neural stem cells into neurons and oligodendrocytes and prevent the differentiation of neural stem cells into astrocytes.

The systemic inflammatory response caused by various pathogenic factors is a key stage in the development of acute respiratory distress syndrome (ARDS). At present, suppression of the inflammatory response and symptomatic support are main methods for the treatment of ARDS. Alveolar epithelial autophagy has an important role in the regulation of the inflammatory response in ARDS. Autophagy is a normal immune mechanism in the body, and it is a metabolic process by which phagocytes degrade intracellular components with the help of lysosomes to maintain intracellular homeostasis. Current studies have shown that pathogenic factors both inside and outside the lung can cause alveolar epithelial cells to form an unfavorable internal environment of hypoxia, starvation, infection, and even apoptosis by triggering inflammatory responses, leading to autophagy dysfunction. Excessive autophagy activation can continue to aggravate inflammatory responses. Autophagy related proteins such as Beclin1, microtubule-associated protein 1 light chain 3 (LC3), mammalian target of rapamycin (mTOR), and p62 are common autophagic markers in current research, which play a crucial role in regulating the autophagic process and the development of lung injury. Therefore, the expression of cellular autophagy genes can be used as early markers and important mechanisms of lung injury in septic ARDS. The Hippo signaling pathway is derived from the protein kinase Hippo in Drosophila, and the Hippo and autophagy are two conserved pathways that are essential for the protection of homeostasis in vivo. The mutual regulation of Hippo signaling pathway and autophagy is currently a hot topic in the academic community. This paper reviews the relevant literature to explore whether the Hippo signaling pathway can regulate cellular autophagy to alleviate the inflammatory response in septic ARDS, so as to provide further research directions for the treatment of ARDS.

Objective:To explore the relevance of a new comprehensive respiratory mechanics parameter, elastic power, to the 28-day prognosis of ARDS patients.Methods:Patients with ARDS hospitalized for at least 48 h with invasive mechanical ventilation in five intensive care units in three local hospitals in Lianyungang City from June 2018 to June 2022 were included in the study. Their baseline data and respiratory mechanics parameters were collected. Elastic power, mechanical power, driving pressure and lung compliance are calculated according to the corresponding formulae. The prognostic risk factors of ARDS patients were analysed using COX multi-factor regression, and the predictive value of EP/Cst on the 28-day prognosis of ARDS patients was evaluated based on ROC curve analysis and Kaplan-Meier survival curve.Results:There was no significantly difference in tidal volume and PEEP settings between the patients in the ARDS survivor and death groups ( P> 0.05). However, the differences in respiratory rate, plateau pressure, driving pressure, lung compliance, mechanical work, elastic work, EP/cst and MP/cst between the two groups were significantly different (all P< 0.01). Multifactorial COX regression analysis showed that EP/cst ( HR=1.211, 95% CI:1.091-1.323) and RR ( HR=1.209, 95% CI:1.046-1.339) were strongly associated with a more severe degree of illness and a worse prognosis in ARDS. And the cumulative survival rate at 28 d was significantly lower in the high Cst-EP group than in the low Cst-EP group (50.00% vs. 82.40%, P < 0.01). Conclusions:The new respiratory mechanics parameters EP and EP/Cst can assess the severity of ARDS with a good predictive effect on patient prognosis at 28 days.

OBJECTIVE: To develop and validate a mechanical power (MP)-oriented nomogram prediction model of weaning failure in mechanically ventilated patients. METHODS: Patients who underwent invasive mechanical ventilation (IMV) for more than 24 hours and were weaned using a T-tube ventilation strategy were collected from the Medical Information Mart for Intensive Care-IV v1.0 (MIMIC-IV v1.0) database. Demographic information and comorbidities, respiratory mechanics parameters 4 hours before the first spontaneous breathing trial (SBT), laboratory parameters preceding the SBT, vital signs and blood gas analysis during SBT, length of intensive care unit (ICU) stay and IMV duration were collected and all eligible patients were enrolled into the model group. Lasso method was used to screen the risk factors affecting weaning outcomes, which were included in the multivariate Logistic regression analysis. R software was used to construct the nomogram prediction model and build the dynamic web page nomogram. The discrimination and accuracy of the nomogram were assessed by receiver operator characteristic curve (ROC curve) and calibration curves, and the clinical validity was assessed by decision curve analysis (DCA). The data of patients undergoing mechanical ventilation hospitalized in ICU of the First People's Hospital of Lianyungang City and the Second People's Hospital of Lianyungang City from November 2021 to October 2022 were prospectively collected to externally validate the model. RESULTS: A total of 3 695 mechanically ventilated patients were included in the model group, and the weaning failure rate was 38.5% (1 421/3 695). Lasso regression analysis finally screened out six variables, including positive end-expiratory pressure (PEEP), MP, dynamic lung compliance (Cdyn), inspired oxygen concentration (FiO₂), length of ICU stay and IMV duration, with coefficients of 0.144, 0.047, -0.032, 0.027, 0.090 and 0.098, respectively. Logistic regression analysis showed that the six variables were all independent risk factors for predicting weaning failure risk [odds ratio (OR) and 95% confidence interval (95%CI) were 1.155 (1.111-1.200), 1.048 (1.031-1.066), 0.968 (0.963-0.974), 1.028 (1.017-1.038), 1.095 (1.076-1.113), and 1.103 (1.070-1.137), all P < 0.01]. The MP-oriented nomogram prediction model of weaning failure in mechanically ventilated patients showed accurate discrimination both in the model group and external validation group, with area under the ROC curve (AUC) and 95%CI of 0.832 (0.819-0.845) and 0.879 (0.833-0.925), respectively. Furthermore, its predictive accuracy was significantly higher than that of individual indicators such as MP, Cdyn, and PEEP. Calibration curves showed good correlation between predicted and observed outcomes. DCA indicated that the nomogram model had high net benefits, and was clinically beneficial. CONCLUSIONS The MP-oriented nomogram prediction model of weaning failure accurately predicts the risk of weaning failure in mechanical ventilation patients and provides valuable information for clinicians making decisions on weaning.
Humans ; Respiration, Artificial/methods* ; Ventilator Weaning/methods* ; Nomograms ; Lung ; Risk Factors