OBJECTIVE: To investigate the interaction between α-amylase (α-AMS) and inflammatory response in patients with ventilator-associated pneumonia (VAP) and their predictive value for prognosis. METHODS: A prospective cohort study was conducted. Patients with mechanical ventilation who were treated in the intensive care unit (ICU) of the Second Hospital of Hebei Medical University from June 2020 to June 2023 were enrolled, and the patients were divided into VAP group and non-VAP group according to whether VAP occurred. VAP patients were stratified into mild [acute physiology and chronic health evaluation II (APACHE II) < 10 scores], moderate (APACHE II were 10-20 scores), and severe (APACHE II > 20 scores) groups based on the APACHE II. All patients were followed up for 28 days. In addition, healthy subjects who underwent health examination in our hospital at the same time were selected as the healthy control group. Baseline data including gender, age, mechanical ventilation mode, mechanical ventilation time, underlying diseases, drug use, and laboratory test indicators were collected. The serum levels of α-AMS, interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), C-reactive protein (CRP) and other inflammatory factors were analyzed and compared. Pearson correlation analysis was performed to analyze the correlation between serum α-AMS and inflammatory factors. Logistic regression was used to analyze the influencing factors of poor prognosis in patients with VAP. The receiver operator characteristic curve (ROC curve) was plotted to evaluate the predictive value of α-AMS on the poor prognosis of patients with VAP. RESULTS: A total of 100 mechanically ventilated patients were enrolled, including 60 cases in the VAP group and 40 cases in the non-VAP group. Among the patients with VAP, there were 24 cases in the mild group, 20 cases in the moderate group, and 16 cases in the severe group. A total of 44 patients survived at 28 days, while 16 died. Additionally, 100 healthy individuals were included as the healthy control group. Serum levels of α-AMS, IL-6, TNF-α and CRP in the VAP group were significantly higher than those in the non-VAP group and the healthy control group, while the levels of α-AMS, IL-6, TNF-α and CRP in the non-VAP group were significantly higher than those in the healthy control group. There were statistically significant differences in serum α-AMS, IL-6, TNF-α, CRP levels and APACHE II scores among VAP patients with different disease severities, and the levels of the above indicators in the severe group were significantly higher than those in the moderate group and mild group, and the levels of the above indicators in the moderate VAP group were significantly higher than those in the mild group. Pearson correlation analysis showed that serum α-AMS was positively correlated with IL-6, TNF-α, CRP, and APACHE II scores (r values were 0.404, 0.392 and 0.493, 0.493, all P < 0.01). Univariate analysis showed that age, mechanical ventilation, diabetes mellitus, ventilation time, ventilation position, prophylactic use of antimicrobial drugs, and serum α-AMS, IL-6, TNF-α, CRP, and APACHE II scores were correlated with the prognosis of VAP patients (all P < 0.05). Multivariate Logistic regression analysis identified age [odds ratio (OR) = 1.340, 95% confidence interval (95%CI) was 1.119-1.605], tracheostomy (OR = 3.050, 95%CI was 1.016-9.157), diabetes mellitus (OR = 1.379, 95%CI was 1.102-1.724), and ventilation time ≥ 7 days (OR = 2.557, 95%CI was 1.163-5.623) and serum α-AMS (OR = 1.428, 95%CI was 1.098-1.856), IL-6 (OR = 1.543, 95%CI was 1.005-2.371), TNF-α (OR = 2.228, 95%CI was 1.107-4.485), CRP (OR = 1.252, 95%CI was 1.131-1.387), APACHE II scores (OR = 1.422, 95%CI was 1.033-1.957) were independent influencing factors for the 28-day prognosis of patients with VAP (all P < 0.05). ROC curve analysis demonstrated that serum α-AMS, IL-6, TNF-α and CRP exhibited significant predictive performance on the prognosis of patients with VAP. The best cut-off value for α-AMS had a sensitivity of 81.3%, specificity of 75.0%, and an area under the ROC curve (AUC) of 0.791, which was significantly higher than those of inflammatory markers IL-6, TNF-α, and CRP (P < 0.05). The combined parameter diagnostic performance was significantly better than those of individual parameters (P < 0.05), with the highest diagnostic performance when combined, corresponding to an AUC of 0.868 (95%CI was 0.798-0.938), sensitivity of 87.5%, and specificity of 79.5%. CONCLUSIONS VAP in mechanically ventilated patients can lead to an increase in the levels of peripheral blood α-AMS and inflammatory factors, and there is an interaction between α-AMS and inflammatory markers in severe VAP patients. These markers are closely related to the severity of the disease and prognosis and have significant implications for predicting patient outcomes.
Humans ; Pneumonia, Ventilator-Associated/diagnosis* ; Prognosis ; Prospective Studies ; Respiration, Artificial ; alpha-Amylases/blood* ; Interleukin-6/blood* ; Male ; Female ; C-Reactive Protein/metabolism* ; APACHE ; Inflammation ; Middle Aged ; Intensive Care Units ; Tumor Necrosis Factor-alpha/blood* ; Aged

OBJECTIVE: To explore whether hydrocortisone can improve the prognosis of patients with severe community-acquired pneumonia (sCAP) by Meta-analysis. METHODS: Randomized controlled trial (RCT) on hydrocortisone in the treatment of sCAP were extracted from the database including PubMed, Cochrane library, Web of Science, and Embase, and the search time was up to April 29, 2023. The patients in the standard treatment group received standard treatment such as antibiotics and supportive care, while those in the hydrocortisone group received hydrocortisone treatment on the basis of standard treatment. Meta-analysis was used to compare the mortality, duration of mechanical ventilation, mechanical ventilation rate and incidence of adverse reactions (hyperglycemia, gastrointestinal bleeding, secondary infection) between the two groups. The risk of literature bias was assessed. The studies that might have publication bias were corrected by the subtraction and complementation method. At the same time, trial sequential analysis (TSA) was conducted. RESULTS: A total of 5 RCTs involving 1 031 patients were finally enrolled, including 494 patients in the standard treatment group and 537 patients in the hydrocortisone group. Among the 5 studies, the research site of 2 studies was in the mixed ward. Considering the inclusion characteristics of the study population, there was doubt whether its research object was sCAP patients, which might have a certain impact on the results and introduce potential bias. Meta-analysis showed that the mortality in the hydrocortisone group was significantly lower than that in the standard treatment group [6.0% vs. 14.0%; odds ratio (OR) = 0.38, 95% confidence interval (95%CI) was 0.25-0.59, P < 0.01; I² = 9%]. The studies that were asymmetric were corrected by the reduction and supplementation method. Even after filling the missing studies, hydrocortisone could still reduce the death risk of the patient (OR = 0.49, 95%CI was 0.32-0.73, P < 0.01; I² = 31%). TSA showed that the average mortality of the standard treatment group was about 14.0%, and that of the hydrocortisone group was about 6.0%, with a relative risk reduction (RRR) = 57%. The calculated sample size was 699 cases, and the actual sample size was 1 031 cases. The actual sample size exceeded the required sample size, and the Z-curve crossed the O'Brien-Fleming boundary and the curve corresponding to P = 0.05, it meant that hydrocortisone could effectively reduce the mortality of sCAP. Compared with the standard treatment group, no statistical difference in the duration of mechanical ventilation was found in the hydrocortisone group [mean difference (MD) = -3.26, 95%CI was -6.72-0.21, P = 0.07; I² = 0%], but the 8-day mechanical ventilation rate was significantly lowered (19.5% vs. 55.4%; OR = 0.24, 95%CI was 0.12-0.45, P < 0.01; I² = 0%), and also no significantly difference was found in the incidence of hyperglycemia (54.3% vs. 44.6%, OR = 1.26, 95%CI was 0.56-2.84, P = 0.58; I² = 61%), gastrointestinal bleeding (2.5% vs. 3.6%; OR = 0.70, 95%CI was 0.34-1.46, P = 0.34; I² = 0%) and secondary infection (9.2% vs. 11.5%; OR = 0.46, 95%CI was 0.06-3.35, P = 0.45; I² = 53%). CONCLUSION Hydrocortisone can reduce the mortality rate of sCAP patients, decrease their need for mechanical ventilation, and does not increase the risk of hyperglycemia, gastrointestinal bleeding, or secondary infections.
Humans ; Hydrocortisone/therapeutic use* ; Community-Acquired Infections/drug therapy* ; Pneumonia/drug therapy* ; Randomized Controlled Trials as Topic ; Respiration, Artificial ; Community-Acquired Pneumonia

OBJECTIVE: To investigate the frequency and related factors of ineffective triggering (IT) and double triggering (DT) in patients with acute brain injury undergoing invasive mechanical ventilation. METHODS: A retrospective cohort study was conducted using data from a single-center observational trial. Patients with acute brain injury [traumatic brain injury, stroke, and post-craniotomy for brain tumors] undergoing mechanical ventilation in the intensive care unit (ICU) of Beijing Tiantan Hospital, Capital Medical University between June 2017 and July 2019 were retrospectively analyzed. Demographic and clinical data were collected. Respiratory parameters and waveforms during the first 3 days of mechanical ventilation were recorded, with 15-minute waveform segments collected 4 times daily. Airway occlusion pressure (P_0.1) was measured via end-expiratory hold at the end of each recording. IT and DT were identified based on airway pressure, flow, and esophageal pressure waveforms, and the ineffective triggering index (ITI) and DT incidence were calculated. Multivariate Logistic regression was used to identify factors associated with IT and DT. RESULTS: A total of 94 patients with acute brain injury were ultimately enrolled, including 19 cases of traumatic brain injury (20.2%), 39 cases of stroke (41.5%), and 36 cases of post-craniotomy for brain tumor (38.3%). Supratentorial injury was observed in 49 patients (52.1%), while infratentorial injury was identified in 45 patients (47.9%). A total of 94 patients with 1 018 datasets were analyzed; 684 (67.2%) datasets were on pressure support ventilation (PSV), and 334 (32.8%) were on mandatory ventilation. IT was detected in 810 (79.6%) datasets, with a median incidence of 2.1% (0.3%, 12.0%). Datasets demonstrating IT were characterized by lower P_0.1, higher tidal volume (VT), reduced respiratory rate (RR), and decreased minute ventilation (MV) compared to those without IT. The proportion of datasets exhibiting IT was higher during PSV than in mandatory ventilation [83.8% (573/684) vs. 71.0% (237/334), P < 0.05], while, the prevalence of ITI ≥ 10% was lower [23.8% (163/684) vs. 33.5% (112/334), P < 0.05]. DT was detected in 305 datasets (30%), with a median incidence of 0.6% (0.4%, 1.3%). Datasets exhibiting DT were characterized by higher VT, reduced RR, and lower pressure support levels. The incidence of DT was lower in PSV compared to mandatory ventilation modes [0% (0%, 0.3%) vs. 0% (0%, 0.5%), P < 0.05]. The post-craniotomy for brain tumors group exhibited higher ITI, lower RR, reduced MV, and a greater proportion of infratentorial lesions, compared to the TBI group. The infratentorial lesion group demonstrated higher ITI and incidence of DT compared to the supratentorial lesion group [ITI: 3.1% (0.7%, 17.8%) vs. 1.5% (0%, 8.3%), incidence of DT: 0% (0%, 0.5%) vs. 0% (0%, 0%), both P < 0.05]. After adjusting for confounding factors through multivariate logistic regression analysis, infratentorial lesion [odds ratio (OR) = 2.029, 95% confidence interval (95%CI) was 1.465-2.811, P < 0.001], lower P_0.1 (OR = 0.714, 95%CI was 0.616-0.827, P < 0.001), and mandatory ventilation (OR = 1.613, 95%CI was 1.164-2.236, P = 0.004) were independently associated with IT. Additionally, infratentorial lesion (OR = 1.618, 95%CI was 1.213-2.157, P = 0.001), large tidal volume (OR = 1.222, 95%CI was 1.137-1.314, P < 0.001), lower pressure support levels (OR = 0.876, 95%CI was 0.829-0.925, P < 0.001), and mandatory ventilation (OR = 2.750, 95%CI was 1.983-3.814, P < 0.001) were independently associated with DT. CONCLUSION IT and DT were common in patients with acute brain injury. Infratentorial lesions and mandatory ventilation were independently associated with both IT and DT.
Humans ; Respiration, Artificial/methods* ; Retrospective Studies ; Brain Injuries/therapy* ; Intensive Care Units ; Male ; Female ; Middle Aged ; Brain Injuries, Traumatic/therapy* ; Logistic Models ; Aged ; Adult

OBJECTIVE: To develop a method for identifying high-risk patients among septic populations requiring mechanical ventilation, and to conduct phenotypic analysis based on this method. METHODS: Data from four sources were utilized: the Medical Information Mart for Intensive Care (MIMIC-IV 2.0, MIMIC-III 1.4), the Philips eICU-Collaborative Research Database 2.0 (eICU-CRD 2.0), and the Anhui Medical University Second Affiliated Hospital dataset. The adult patients in intensive care unit (ICU) who met Sepsis-3 and received invasive mechanical ventilation (IMV) on the first day of first admission were enrolled. The MIMIC-IV dataset with the highest data integrity was divided into a training set and a test set at a 6:1 ratio, while the remaining datasets were served as validation sets. The demographic information, comorbidities, laboratory indicators, commonly used ICU scores, and treatment measures of patients were extracted. Clinical data collected within first day of ICU admission were used to calculate the sequential organ failure assessment (SOFA) score. K-means clustering was applied to cluster SOFA score components, and the sum of squared errors (SSE) and Davies-Bouldin index (DBI) were used to determine the optimal number of disease subtypes. For clustering results, normalized methods were employed to compare baseline characteristics by visualization, and Kaplan-Meier curves were used to analyze clinical outcomes across phenotypes. RESULTS: This study enrolled patients from MIMIC-IV dataset (n = 11 166), MIMIC-III dataset (n = 4 821), eICU-CRD dataset (n = 6 624), and a local dataset (n = 110), with the four datasets showing similar median ages and male proportions exceeding 50%; using 85% of the MIMIC-IV dataset as the training set, 15% as the test set, and the rest dataset as the validation set. K-means clustering based on the six-item SOFA score was performed to determine the optimal number of clusters as 3, and patients were finally classified into three phenotypes. In the training set, compared with the patients with phenotype II and phenotype III, those with phenotype I had the more severe circulatory and respiratory dysfunction, a higher proportion of vasoactive drug usage, more obvious metabolic acidosis and hypoxia, and a higher incidence of congestive heart failure. The patients with phenotype II was dominated by respiratory dysfunction with higher visceral injury. The patients with phenotype III had relatively stable organ function. The above characteristics were consistent in both the test and validation sets. Analysis of infection-related indicators showed that the patients with phenotype I had the highest SOFA score within 7 days after ICU admission, initial decreases and later increases in platelet count (PLT), and higher counts of neutrophils, lymphocytes, and monocytes as compared with those with phenotype II and phenotype III, their blood cultures had a higher positivity rates for Gram-positive bacteria, Gram-negative bacteria and fungi as compared with those with phenotype II and phenotype III. The Kaplan-Meier curve indicated that in the training, test, and validation sets, the 28-day cumulative mortality of patients with phenotype I was significantly higher than that of patients with phenotypes II and phenotype III. CONCLUSIONS Three distinct phenotypes in septic patients receiving IMV based on unsupervised machine learning is derived, among which phenotype I, characterized by cardiorespiratory failure, can be used for the early identification of high-risk patients in this population. Moreover, this population is more prone to bloodstream infections, posing a high risk and having a poor prognosis.
Humans ; Machine Learning ; Sepsis/therapy* ; Respiration, Artificial ; Intensive Care Units ; Organ Dysfunction Scores ; Male ; Female ; Middle Aged ; Adult

Avian influenza H10N3 is a type of avian influenza virus that can occasionally infect humans and cause severe pneumonia and acute respiratory distress syndrome (ARDS). On December 25, 2024, a 23-year-old obese female patient with H10N3 avian influenza complicated with severe ARDS was admitted to the Fourth People's Hospital of Nanning. The patient was transferred to our department due to "fever, cough, and shortness of breath for 13 days". Physical examination revealed moist rales in bilateral lungs. Chest imaging showed large areas of ground-glass opacity and consolidation in both lungs. Based on the patient's medical history, clinical manifestations, and laboratory findings, she was diagnosed with human infection of H10N3 avian influenza, severe pneumonia, and severe ARDS. Supported by mechanical ventilation and extracorporeal membrane oxygenation (ECMO), daily monitoring of airway peak pressure, plateau pressure (Pplat), driving pressure (ΔP), and lung compliance was performed to guide the adjustment of tidal volume (VT) and positive end-expiratory pressure (PEEP) during invasive mechanical ventilation. Medications including anti-avian influenza virus agents, antibacterial drugs, and antifungals were administered. Eventually, the patient's condition improved gradually, and she was successfully weaned from ECMO. No ventilator-induced lung injury (VILI) or multiple organ dysfunction syndrome (MODS) related to ARDS occurred during ECMO support. However, during the final stage of ventilator weaning after the restoration of spontaneous breathing, a right pneumothorax occurred. Closed thoracic drainage was performed, after which the ventilator was successfully discontinued. The patient was successfully transferred out of the intensive care unit (ICU), recovered fully, and was discharged from the hospital. In the invasive mechanical ventilation management of patients infected with H10N3 avian influenza complicated by ARDS, monitoring airway peak pressure, Pplat, ΔP, and assessing pulmonary compliance may facilitate more standardized management of such ARDS patients and help reduce VILI.
Humans ; Female ; Influenza, Human/complications* ; Respiratory Distress Syndrome/complications* ; Respiration, Artificial/methods* ; Obesity/complications* ; Young Adult ; Extracorporeal Membrane Oxygenation ; Influenza A virus

OBJECTIVE: To explore the effect of light music therapy on delirium in intensive care unit (ICU) patients undergoing invasive mechanical ventilation, and provide evidence-based support for clinical prevention of delirium. METHODS: A prospective randomized controlled trial was conducted. 140 patients with invasive mechanical ventilation admitted to the department of respiratory and critical care medicine of First Affiliated Hospital of Guangxi Medical University from January 2024 to January 2025 were enrolled. The patients were divided into intervention group and control group using a random number table method. The control group received routine treatment and nursing care, while the intervention group received light music therapy three times a day for 30 minutes each time for 7 consecutive days. The confusion assessment method-ICU (CAM-ICU) was used to evaluate delirium, and the incidence of delirium within 7 days was statistically analyzed. Richmond agitation-sedation score (RASS), critical care pain observation tool (CPOT) score, mechanical ventilation duration, the length of ICU stay, and ICU stay expenses were record. RESULTS: 129 cases were ultimately included, including 64 cases in the control group and 65 cases in the intervention group. There was no statistically significant difference in baseline data between the two groups, indicating comparability. The incidence of delirium in the intervention group was significantly lower than that in the control group (27.7% vs. 51.6%, χ ² = 7.687, P = 0.006). There was no significantly difference in RASS score between the two groups before enrollment (P = 0.840). After intervention, the RASS score in the intervention group significantly decreased, from 2.00 points on the 1st day of enrollment to 0.00 points on the 7th day, while the control group only decreased from 2.00 points to 1.50 points. The decreasing trend of the intervention group was more pronounced, especially on the 3rd day (P = 0.047) and the 7th day (P =0.005), with significant differences between the groups. The time effect (F = 18.929, P < 0.001), group effect (F = 6.655, P = 0.011), and time group interaction effect (F = 7.372, P < 0.001) of the two groups of RASS score were significant, suggesting that light music therapy has better timeliness and sustainability in improving patients' sedation status. There was no significantly difference in CPOT score between the two groups before enrollment (P = 0.902). After intervention, the CPOT score in the intervention group rapidly decreased from 3.00 points before enrollment to 1.00 points on the 1st day, and continued until the 7th day, while the control group showed a slower decrease from 2.50 points to 2.00 points and only dropped to 1.00 points on the 7th day. There were significant differences on 1st day and 3rd day between two groups (both P < 0.05). The time effect (F = 28.125, P < 0.001), group effect (F = 11.580, P = 0.001), and time group interaction effect (F = 4.048, P = 0.020) of the two groups of CPOT score were significant, indicating that light music therapy has better pain control, but the interaction effect is low, indicating that the impact of the intervention on the CPOT score was mainly concentrated in the early stage (1-3 days), and the long-term effect may be influenced by other factors. Compared with the control group, the intervention group showed a significant reduction in mechanical ventilation time (days: 10.57±2.94 vs. 11.95±3.74, P = 0.021) and the length of ICU stay (days: 14.91±4.37 vs. 17.53±4.83, P = 0.002). The ICU hospitalization expenses of the intervention group was slightly lower than that of the control group [ten thousand yuan: 22.431 (12.473, 28.489) vs. 29.362 (11.996, 41.389)], but the difference was not statistically significant (P = 0.086). CONCLUSIONS Light music therapy can effectively reduce the incidence of delirium in patients undergoing invasive mechanical ventilation, improve consciousness and pain perception, shorten mechanical ventilation time and hospital stay, and has significant clinical promotion value high-quality studies.
Humans ; Delirium/prevention & control* ; Intensive Care Units ; Respiration, Artificial ; Music Therapy ; Prospective Studies ; Male ; Female ; Middle Aged ; Critical Care ; Aged

OBJECTIVE: To investigate the relationship between peripheral blood circular RNA Bardet-Biedl syndrome 9 (circBBS9) and circRNA catenin beta 1 (circCTNNB1) and weaning failure of mechanical ventilation in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). METHODS: A prospective, observational cohort study was conducted. The patients with AECOPD who received invasive mechanical ventilation and passed the spontaneous breathing test (SBT) admitted to the First Affiliated Hospital of Hebei North University from January 2022 to February 2024 were selected as the study subjects. According to the outcome of weaning, the patients were divided into failed weaning group and successful weaning group. At admission and before SBT, the expression levels of circBBS9 and circCTNNB1 in peripheral blood were detected by fluorescence quantitative polymerase chain reaction (PCR). General information, acute physiology and chronic health evaluation II (APACHEII) score within 24 hours of admission, vital signs before SBT and the most recent laboratory indicators before SBT of the patients were collected. The differences in circBBS9 and circCTNNB1 expression levels and clinical data between the two groups were compared. Multivariate Logistic regression was used to analyze the influencing factors of the weaning failure. Receiver operator characteristic curve (ROC curve) was used to analyze the predictive value of each index on weaning failure. RESULTS: Ultimately, 132 patients with AECOPD who underwent invasive mechanical ventilation and passed the SBT were enrolled in the study. Among them, 82 patients were successfully weaned from mechanical ventilation, while 50 patients failed to be weaned, resulting in a weaning failure rate of 37.88%. There was no statistically significant difference in the expression levels of circBBS9 and circCTNNB1 in the peripheral blood at admission of patients between the two groups. The expression level of circBBS9 in the peripheral blood before SBT of patients in the failed weaning group was significantly higher than that in the successful weaning group (2^-ΔΔCt: 131.64±30.24 vs. 100.00±21.32), and the expression level of circCTNNB1 was significantly lower than that in the successful weaning group (2^-ΔΔCt: 79.90±16.82 vs. 100.00±26.43), and the differences were statistically significant (both P < 0.05). The APACHEII score within 24 hours of admission and the levels of RSBI, SCr, and PCT before SBT in the failed weaning group were significantly higher than those in the successful weaning group [APACHEII score: 22.54±4.62 vs. 16.56±4.58, RSBI: 81.90±16.56 vs. 63.25±17.00, SCr (μmol/L): 100.20±17.27 vs. 89.93±26.29, PCT (μg/L): 1.08±0.18 vs. 0.87±0.22], and the Alb level before SBT was significantly lower than that in the successful weaning group (g/L: 29.71±2.73 vs. 33.93±2.89), and the differences were statistically significant (all P < 0.05). There was no statistically significant difference in other clinical data between the two groups. Multivariate Logistic regression analysis showed that circBBS9 [odds ratio (OR) = 1.291, 95% confidence interval (95%CI) was 1.049-1.588] and APACHEII score (OR = 2.897, 95%CI was 1.004-8.353), RSBI (OR = 1.413, 95%CI was 1.057-1.890) were independent risk factors for weaning failure (all P < 0.05), and circCTNNB1 (OR = 0.812, 95%CI was 0.688-0.959) and Alb (OR = 0.149, 95%CI was 0.036-0.614) were protective factors (both P < 0.05). ROC curve analysis showed that circBBS9, circCTNNB1, APACHEII score, RSBI, and Alb all had certain value for predicting weaning failure. The area under the ROC curve (AUC) and 95%CI were 0.820 (0.750-0.890), 0.755 (0.674-0.835), 0.827 (0.757-0.897), 0.795 (0.715-0.876), and 0.854 (0.791-0.919), respectively. Using the multivariate Logistic regression equation as the combined indicator, the AUC for predicting weaning failure reached 0.997 (95%CI was 0.993-1.000), which was significantly higher than that of the single indicators including circBBS9, circCTNNB1, APACHEII score, RSBI, and Alb (the Z value was 5.582, 6.093, 5.771, 5.932, and 5.182, respectively, all P < 0.05). CONCLUSIONS High expression of circBBS9 and low expression of circCTNNB1 in the peripheral blood of AECOPD patients receiving invasive mechanical ventilation before SBT are associated with weaning failure. circBBS9, circCTNNB1 combined with APACHEII score, RSBI and Alb are helpful for predicting the failure of weaning in these patients.
Humans ; Pulmonary Disease, Chronic Obstructive/blood* ; Prospective Studies ; Ventilator Weaning ; RNA, Circular/blood* ; Respiration, Artificial ; Male ; Female ; Aged

Prone position ventilation (PPV) has been widely used in the treatment strategy of patients with acute respiratory distress syndrome (ARDS). Patients undergoing PPV may develop facial edema and are at risk for pressure injuries due to prolonged prone positioning. In clinical practice, preventive measures such as repositioning, protective dressings, and pressure-relief cushions are commonly used to prevent pressure injuries. However, factors such as improper endotracheal tube placement, self-paid dressings, and delayed clearance of oral and nasal secretions have reduced the effectiveness of preventing facial pressure injuries. To address the above issues, a device for preventing pressure injuries on the faces of patients in the prone position was designed by healthcare workers in the nursing department of Dalian Friendship Hospital, and a National Utility Model Patent of China was obtained (ZL 2024 2 0340439.8). The device consists of a support plate and a circuit control system. The support plate is equipped with two support members. Support member 1 is directly fixed to the support plate, while support member 2 is connected to the support plate via a slide and a spiral rod, serving to support the patient's face and allowing for adjustment of the appropriate width according to the size of the patient's face. Inside the two support members, there are several telescopic rods, with the upper ends designed as spherical supports. The height and position of the telescopic components can be adjusted through a circuit control system, regularly changing the pressure distribution on the patient's face, thereby achieving the purpose of changing the pressure points on the face. The inner wall of support member 2 is equipped with a camera, allowing direct observation of the patient's facial condition through a monitor, avoiding compression of the eyes and nose, and promptly removing secretions from the mouth to keep the face clean, thereby reducing the risk of facial pressure-related injuries. The center of the two support members features a hollow slot, facilitating the placement of a tracheal tube. The circuit control system includes a random module, a time setting module, a control module, and a drive module. Parameters can be set as needed. When the shortest set time is reached, the random module and time setting module send instructions to the control module. Upon receiving the instructions from the time setting module and the random number from the random module, the control module transmits information to the drive module. The drive module, upon receiving the information, controls multiple telescopic rods to adjust their height and position, thereby changing the support points on the patient's face. The device features a simple structure and convenient operation, allowing for flexible adaptation to the patient's facial shape. It can be replaced with the patient's facial pressure area, providing an intuitive view of the patient's facial pressure situation. With automation and high safety, it helps reduce the risk of pressure-related injuries and lightens the workload of medical staff.
Humans ; Pressure Ulcer/prevention & control* ; Prone Position ; Equipment Design ; Facial Injuries/prevention & control* ; Respiration, Artificial/instrumentation* ; Respiratory Distress Syndrome/therapy*

BACKGROUND AND OBJECTIVES

A mounting evidence links dysregulated immune response to cases of fatal pneumonia seen in COVID-19 infection. We aimed to validate the COVID-19-associated Hyperinflammatory Syndrome (cHIS) score, a novel clinical tool devised to identify those at risk for adverse outcomes, in a local population and investigate the relationship of cHIS score taken at admission and the risk of mortality and the need of mechanical ventilation.

This retrospective cohort study analyzed the sociodemographic, clinical, and laboratory data of 1,881 COVID-19 patients admitted at a tertiary hospital in Davao City, Philippines from January to December 2021. We calculated the cHIS score, composed of six clinical and laboratory criteria from admission, and used multivariate logistic regression to determine the risk of mortality and need of mechanical ventilation.

The cHIS score taken at admission, regardless of cut-off value, was a significant predictor of mortality (OR 0.979 [99% CI 0.894-1.064]) and need of mechanical ventilation (OR 0.586 [99% CI 0.4975-0.6745]). Using the Youden Index, a cut-off cHIS score of 3 or more was a better predictor of mortality (sensitivity, 88.59%; specificity, 71.72%), and a cut-off score of 2 or more was a better predictor of need of mechanical ventilation (sensitivity, 84.02%; specificity, 70.82%) than other cutoff cHIS scores.

Among COVID-19 patients, the cHIS score at admission correlated with the risk of mortality and the need of mechanical ventilation. Cutoff scores of 3 and 2 had the optimal sensitivities and specificities to predict the risk of mortality and the need of mechanical ventilation, respectively.

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