OBJECTIVES

This cross-sectional study aimed to compare the levels of depression, anxiety, and stress, coping strategies, and willingness to go on duty in a COVID-referral hospital in Metro Manila among medical interns from March to April 2021.

The study comprised medical interns selected via stratified random sampling and was conducted to meet the research objectives. Data were obtained through the Willingness to Go on Duty questionnaire, the Depression, Anxiety, and Stress Scale-21 (DASS-21), and the Filipino Coping Strategies Scale. Descriptive and inferential analysis (chi-square test, Wilcoxon rank-sum test, Kruskal-Wallis test, and Spearman’s correlation) of data was used in this study.

26.62%, 23.02%, and 13.67% of the 139 participants reported having severe to extremely severe depression, anxiety, and stress, respectively. Sociodemographic variables such as age, sex, internship classification, training/track, presence of comorbidities, and living arrangement were not associated with psychological distress, while the use of some coping strategies was associated with some of these variables. 85.61% of the medical students who participated in the study expressed willingness to go on duty in non-COVID areas, while only 43.88% were willing to go on duty in COVID areas. Most of the participants who are unwilling to report in non-COVID areas reported having symptoms of moderate to extremely severe depression based on their DASS-21 scores.

Coping strategies used by medical students in this tertiary COVID-19 hospital during the pandemic differed across demographic variables and may be a function of societal and cultural norms. The top reason for the willingness to go on duty regardless of area of assignment (COVID or non-COVID) is the need for clinical learning experience and skills development, while the main reason for their refusal is the fear of being exposed to or contracting COVID-19.

Sepsis is a life-threatening organ dysfunction syndrome caused by a dysregulated host response to infection. Due to different infection sources, pathogens and basic conditions of patients, there is significant heterogeneity in clinical manifestations, response to treatment and prognosis of patients with sepsis. Accurate classification and individualized treatment of sepsis will help to further improve the prognosis of patients with sepsis. In recent years, the integration of artificial intelligence and bioinformatics has brought new opportunities for the research of sepsis classification. This review systematically introduces a variety of sepsis classification methods and their clinical application value. The clinical data in the electronic medical record, such as the dynamic changes of vital signs such as body temperature, can be used as the basis for sepsis classification. Different subtypes of body temperature trajectories have differences in physiological characteristics and prognosis, which contributes to predict the prognosis of patients and guide fluid management strategies. Biomarker classification can more comprehensively reflect the pathophysiological state of patients. Immune index classification is helpful to identify immunocompromised patients so as to carry out targeted immunotherapy. Transcriptome data and genotyping reveal the heterogeneity of sepsis at the molecular level and provide a new perspective for precision medicine. In addition, a detailed systematic review of sepsis-related organ function damage, such as acute respiratory distress syndrome (ARDS), acute kidney injury (AKI), and acute liver injury, has also been conducted, which is helpful to develop targeted organ protection and treatment strategies. These typing methods have shown good application prospects in clinical practice. However, there are still limitations in the current research, such as typing stability and biomarker selection, which need to be further explored. Future research should focus on the development of stable and efficient typing tools to achieve precise treatment of sepsis and improve the prognosis of patients.
Humans ; Sepsis/classification* ; Multiple Organ Failure/classification* ; Prognosis ; Artificial Intelligence ; Biomarkers ; Computational Biology ; Respiratory Distress Syndrome

Acute lung injury/acute respiratory distress syndrome (ALI/ARDS) is a severe critical condition marked by rapid progression and high fatality. It results from direct/indirect lung-related or systemic triggers, leading to widespread injury of lung epithelial and endothelial cells. Its pathogenesis involves uncontrolled inflammation and breakdown of the lung's blood-air barrier due to leaky blood vessels and epithelial damage. Current management of ALI/ARDS remains primarily supportive, offering symptomatic relief but limited improvement in prognosis, necessitating deeper exploration of upstream pathogenic mechanisms to identify safer and more effective therapies. Exosomal microRNAs (miRNA), small extracellular vesicles (40-150 nm) containing non-coding single-stranded RNAs, regulate post-transcriptional cellular processes and participate in ALI/ARDS pathophysiology. Studies reveal that exosomes transport proteins, nucleic acids, and miRNAs to recipient cells, mediating intercellular communication. In ALI/ARDS models, exosomal miRNAs delivered to alveolar epithelial cells, endothelial cells, macrophages, and neutrophils critically modulate autophagy, pyroptosis, apoptosis, proliferation, inflammatory signaling, macrophage polarization, and neutrophil activation, either exacerbating or alleviating disease progression. Recent advances in engineering techniques have enhanced the therapeutic potential of exosomal miRNAs by overcoming limitations of natural exosomes. This review focuses on exosomal miRNA-mediated regulation of ALI/ARDS pathogenesis across key cell types, providing insights for novel therapeutic strategies.
Exosomes ; Humans ; MicroRNAs ; Acute Lung Injury ; Respiratory Distress Syndrome ; Animals

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 identify the risk factors for acute respiratory distress syndrome (ARDS) in geriatric patients following gastrointestinal perforation surgery, and constructed a model to validate its predictive value. METHODS: A retrospective analysis was conducted. The clinical data of geriatric patients (aged ≥ 60 years) after gastrointestinal perforation surgery admitted to the intensive care unit (ICU) of Hebei General Hospital from October 2017 to October 2024 were enrolled. Two groups were divided according to whether ARDS occurred postoperatively, and the differences in each index between the groups were compared. Lasso regression and multifactorial Logistic regression analyses were used to identify independent risk factors for the development of ARDS, and a prediction model was constructed based on these, which was presented using a nomogram. The receiver operator characteristic curve (ROC curve), calibration curve, and decision curve analysis (DCA) were plotted to evaluate the discrimination, accuracy, and clinical practicability of the model. RESULTS: A total of 155 geriatric patients following gastrointestinal perforation surgery were ultimately included in the analysis, among whom 43 developed ARDS, with an incidence rate of 27.7%. There were significantly differences in age, body mass index (BMI), acute kidney injury comorbidity, heart rate, onset time, the duration of surgery, the site of perforation, seroperitoneum, amount of bleeding, shock comorbidity, central venous pressure (CVP), C-reactive protein, and albumin between ARDS and non-ARDS groups. Lasso regression identified nine significant predictors: age, BMI, acute kidney injury comorbidity, onset time, seroperitoneum, shock comorbidity, CVP, hemoglobin, and albumin. Multivariate Logistic regression analysis identified BMI [odds ratio (OR) = 1.310, P < 0.001], hemoglobin (OR = 1.019, P = 0.045), seroperitoneum (OR = 1.001, P = 0.017), and albumin (OR = 0.871, P < 0.001) as independent risk factors for the occurrence of ARDS. A prediction model was constructed based on the above four independent risk factors, and the ROC curve showed that the area under the curve (AUC) of the model for predicting the occurrence of ARDS was 0.885 [95% confidence interval (95%CI) was 0.824-0.946], and internal validation was performed using bootstrap resampling (Bootstrap 500 times), which showed that the AUC value of the model was 0.886 (95%CI was 0.883-0.889). Calibration curves revealed excellent concordance between observed outcomes and model predictions. DCA indicated a high net benefit value for the model, which has good clinical utility. CONCLUSIONS BMI, hemoglobin, seroperitoneum, and albumin were identified as independent risk factors for ARDS in geriatric patients following gastrointestinal perforation surgery. The prediction model constructed using these four indicators facilitates early identification of high-risk individuals by clinicians.
Humans ; Respiratory Distress Syndrome/etiology* ; Retrospective Studies ; Aged ; Risk Factors ; Logistic Models ; Postoperative Complications ; Intestinal Perforation/surgery* ; Male ; ROC Curve ; Female ; Middle Aged ; Intensive Care Units ; Nomograms

OBJECTIVE: To explore the association between blood glucose trajectories within 7 days of intensive care unit (ICU) admission and mortality in patients with sepsis-associated acute respiratory distress syndrome (ARDS). METHODS: Based on the MIMIC-IV database, sepsis-associated ARDS patients with daily blood glucose monitoring data within 7 days of ICU admission were selected. Blood glucose trajectories were analyzed using group-based trajectory modeling (GBTM), and the optimal number of groups was determined based on the minimum Akaike information criterion (AIC), Bayesian information criterion (BIC), average posterior probability (AvePP), odds of correct classification (OCC), and proportion of group membership (Prop). Baseline characteristics including demographics, comorbidities, severity scores, vital signs, laboratory indicators within the first 24 hours of ICU admission, and treatments were collected. Kaplan-Meier survival curves were used to compare 28-day and 1-year survival across trajectory groups. Multivariate Logistic regression was performed to evaluate the associations between glucose trajectory groups and in-hospital mortality, ICU mortality. The incidence of hypoglycemia within 7 days in the ICU was analyzed among different groups. RESULTS: A total of 3 869 patients with sepsis-associated ARDS were included, with a median age of 63.52 (52.13, 73.54) years; 59.6% (2 304/3 869) were male. Based on glucose levels within 7 days, patients were categorized into three groups: persistent hyperglycemia group (glucose maintained at 10.6-13.1 mmol/L, n = 894), moderate glucose group (7.8-8.9 mmol/L, n = 1 452), and low-normal glucose group (6.1-7.0 mmol/L, n = 1 523). There were statistically significant differences in 28-day mortality and 1-year mortality among low-normal glucose group, moderate glucose group, and persistent hyperglycemia group [28-day mortality: 11.42% (174/1 523), 19.83% (288/1 452), 25.50% (228/894), χ ² = 82.545, P < 0.001; 1-year mortality: 23.31% (355/1 523), 33.75% (490/1 452), 39.49% (353/894), χ ² = 77.376, P < 0.001]. Kaplan-Meier analysis showed that higher glucose trajectories were associated with significantly lower 28-day and 1-year cumulative survival rates (Log-rank test: χ ² were 83.221 and 85.022, both P < 0.001). There were statistically significant differences in in-hospital mortality and ICU mortality among the low-normal glucose group, moderate glucose group, and persistent hyperglycemia group [in-hospital mortality: 9.65% (147/1 523), 19.70% (286/1 452), 24.50% (219/894), χ ² = 102.020, P < 0.001; ICU mortality: 7.22% (110/1 523), 16.05% (233/1 452), 20.13% (180/894), χ ² = 93.050, P < 0.001]. Logistic regression confirmed that, using the persistent hyperglycemia group as the reference, the low-normal glucose group had significantly lower risks of in-hospital mortality and ICU mortality after multiple factor adjustment. Although the moderate glucose group showed a trend toward lower mortality, the differences were not statistically significant. Using the moderate glucose group as a reference, the low-normal glucose group had 43.1% lower in-hospital mortality [odds ratio (OR) = 0.569, 95% confidence interval (95%CI) was 0.445-0.726, P < 0.001] and 42.0% lower ICU mortality (OR = 0.580, 95%CI was 0.439-0.762, P < 0.001). There was no statistically significant difference in the incidence of hypoglycemia within 7 days of ICU admission among low-normal glucose group, moderate glucose group, and persistent hyperglycemia group [2.82% (43/1 523), 2.69% (39/1 452), 3.02% (27/894), χ ² = 0.226, P = 0.893]. CONCLUSIONS Blood glucose trajectories during ICU stay are closely associated with prognosis in patients with sepsis-associated ARDS. Persistent hyperglycemia (10.6-13.1 mmol/L) is linked to significantly higher short- and long-term mortality.
Humans ; Respiratory Distress Syndrome/etiology* ; Sepsis/blood* ; Intensive Care Units ; Male ; Female ; Middle Aged ; Blood Glucose/metabolism* ; Hospital Mortality ; 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*

OBJECTIVE: To analyze the risk factors of hypophosphatemia in patients with acute respiratory distress syndrome (ARDS). METHODS: A retrospective case-control study was conducted. The clinical data of the patients with ARDS admitted to Yanbian University Affiliated Hospital from January 2018 to October 2022 were collected. According to the 1-day serum phosphorus level after intensive care unit (ICU) admission, the patients with normal (0.80-1.45 mmol/L) or elevated (> 1.45 mmol/L) serum phosphorus levels were included in the non-hypophosphatemia group, while those with phosphorus levels lower than 0.80 mmol/L were included in the hypophosphatemia group. The differences in the inflammatory indicators [neutrophils percentage (NEU%), neutrophil count (NEU), lymphocyte count (LYM), high-sensitivity C-reactive protein (hs-CRP)], proteins [total protein (TP), albumin (Alb), prealbumin (PA)], blood lactic acid (Lac), neutrophil/lymphocyte ratio (NLR), neutrophil/albumin ratio (NAR), and blood lactic acid/albumin ratio (L/A) at 1, 2, 4, 6 and 8 days after ICU admission were compared between the two groups. The partial correlation method was used to analyze the correlation between the 1-day serum phosphorus level after ICU admission and the above indicators. Multivariate Logistic regression analysis was adopted to explore the risk factors of hypophosphatemia in patients with ARDS. RESULTS: All 110 patients were enrolled in the final analysis, among which there were 56 cases in the hypophosphatemia group and 54 cases in the non-hypophosphatemia group. At 1 day and 2 days after ICU admission, NEU% in the hypophosphatemia group were significantly higher than those in the non-hypophosphatemia group (1 day: 0.87±0.08 vs. 0.82±0.12, 2 days: 0.87±0.05 vs. 0.83±0.11, both P < 0.05). As the ICU admission time prolonged, LYM in the hypophosphatemia group was basically on the rise, and NEU%, hs-CRP, and NLR were first decreased and then increased. At 1 day after ICU admission, TP, Alb and PA in the hypophosphatemia group were significantly lower than those in the non-hypophosphatemia group [TP (g/L): 52.96±8.42 vs. 56.47±8.36, Alb (g/L): 29.73±5.83 vs. 33.08±7.35, PA (g/L): 69.95±50.72 vs. 121.50±82.42, all P < 0.05]. As the ICU admission time prolonged, TP and Alb in the hypophosphatemia group were basically showed a trend of first decreasing and then increasing, but at 8 days, Alb was still lower than that at 1 day, and PA basically showed an upward trend. In the non-hypophosphatemia group, the change trends of TP and Alb were consistent with those in the hypophosphatemia group. Lac and L/A both showed a downward trend in the two groups. Partial correlation analysis showed that 1-day serum phosphorus level after ICU admission was significantly negatively correlated with NEU% and hs-CRP (r value was -0.229 and -0.286, respectively, both P < 0.05), and significantly positively correlated with LYM and PA (r value was 0.231 and 0.311, respectively, both P < 0.05). Multivariate Logistic regression analysis showed that 1-day NEU% [odds ratio (OR) = 0.932, 95% confidence interval (95%CI) was 0.873-0.996, P = 0.038] and Alb (OR = 1.167, 95%CI was 1.040-1.308, P = 0.008) were the independent risk factors for hypophosphatemia in ARDS patients. CONCLUSION NEU% and Alb at 1 day after ICU admission are independent risk factors for hypophosphatemia in patients with ARDS.
Humans ; Hypophosphatemia/etiology* ; Respiratory Distress Syndrome/blood* ; Risk Factors ; Retrospective Studies ; Case-Control Studies ; Intensive Care Units ; Male ; Female ; Phosphorus/blood* ; Middle Aged ; Neutrophils ; Aged ; C-Reactive Protein

Acute respiratory distress syndrome (ARDS) is a clinical syndrome characterized by diffuse alveolar and interstitial edema caused by damage to alveolar-capillary and epithelial cells, often induced by infection, sepsis, trauma, and other factors. It is marked by progressive hypoxemia and respiratory distress. Due to the diverse causes of ARDS, the unclear pathogenesis, and the absence of effective predictive markers or biomarkers, there are no effective treatment measures available, resulting in a high mortality rate. ARDS is increasingly recognized for its heterogeneity, biomarkers, and the emergence of new opportunities for the development of diagnostic tools and personalized treatment strategies provided by omics technologies. A single omics analysis cannot fully reveal the heterogeneity and complexity of ARDS, while multi-omics analysis can provide a more systematic and comprehensive understanding of ARDS. Using clinical samples is closer to the actual disease situation compared to animal models. Multi-omics studies based on clinical samples have achieved significant progress in elucidating the pathophysiology of ARDS, identifying ARDS subtypes, and identifying biomarkers related to ARDS. This review focuses on the current applications of genomics, transcriptomics, metabolomics, and proteomics analyses based on clinical samples in the ARDS field, with a focus on the application of these omics methods in ARDS heterogeneity, potential biomarkers, and pathogenesis. It also introduces the differences in the application of different clinical samples in ARDS omics research, in order to gain a deeper and more comprehensive understanding of the pathogenesis of ARDS and explore new strategies for its prevention and treatment.
Respiratory Distress Syndrome/diagnosis* ; Humans ; Metabolomics ; Proteomics ; Genomics ; Biomarkers ; Multiomics

Mechanical ventilation is commonly employed for respiratory support in patients with respiratory failure. Despite the optimization of ventilator parameters and treatment methods, mechanical ventilation can still lead to both acute and chronic lung injury in patients with acute respiratory distress syndrome (ARDS) as well as in those without ARDS, a phenomenon referred to as ventilator-induced lung injury (VILI). VILI can be categorized into four types: barotrauma, volumetric injury, atelectasis injury, and biotic injury. Among these, biotic injury, characterized by inflammation, plays a significant role in the pathogenesis of VILI. Numerous studies have investigated the inflammatory mechanisms underlying VILI; however, these mechanisms remain complex and not entirely understood. At present, clinical practice lacks specific prevention and treatment strategies for VILI, aside from the implementation of protective ventilation strategies. Long non-coding RNAs (lncRNA) are a category of non-coding RNA longer than 200 nucleotides. LncRNAs regulate physiological and pathological processes such as cell proliferation, apoptosis, inflammatory response, and immune regulation, this regulation occurs through mechanisms such as modulating gene activity, inhibiting specific states, assisting in transcription initiation, affecting pre-mRNA splicing modifications, influencing translation processes, and expressing biofunctional peptides. They play an important role in the course of multiple diseases. Studies have shown that compared with control animals and cell models, lncRNAs are differentially expressed in VILI animal models and cell stretch models. Experiments have verified that certain lncRNAs play a crucial role in the pathogenesis of VILI by regulating the expression of inflammatory factors, the transformation of macrophage types, neutrophil activation, and cell apoptosis. Given the adverse effects of VILI on mechanical ventilation in critically ill patients, the important role of lncRNAs in biological regulation, and the urgent need to explore more effective strategies for the prevention and treatment of VILI, this paper summarizes the mechanisms through which lncRNA contributes to the VILI process, and discusses its possibility as a diagnostic and therapeutic target of VILI, in order to provide a reference for the clinical treatment of VILI.
RNA, Long Noncoding ; Ventilator-Induced Lung Injury ; Humans ; Respiration, Artificial/adverse effects* ; Animals ; Respiratory Distress Syndrome ; Apoptosis