Zhonghua wei zhong bing ji jiu yi xue最新文献

Objective: To explore the factors influencing prognosis of patients with in-hospital cardiac arrest (IHCA).

Methods: A retrospective observational study was conducted. The clinical data of patients who developed IHCA and underwent cardiopulmonary resuscitation (CPR) at the Second Xiangya Hospital of Central South University from January 1, 2016, to December 31, 2022 were analyzed. The patients' information, including gender, age, medical history, pre-cardiac arrest related parameters [1-hour pre-cardiac arrest neurological function, 24-hour pre-cardiac arrest hemoglobin (Hb) levels, 1-hour pre-cardiac arrest vital signs], initial CPR-related factors (implementation time and location, initial rhythm, ventilation method, defibrillation and resuscitation drugs) as well as restoration of spontaneous circulation (ROSC) related parameters (vital signs at ROSC and 1 hour after ROSC, 24-hour post-cardiac arrest Hb, and IHCA events), were collected through the hospital's electronic medical record system. The clinical data were compared between ROSC and non-ROSC patients as well as between patients with favorable neurological function [cerebral performance category (CPC) grades 1-2] and unfavorable neurological function (CPC grades 3-5) at 28 days. The factors with statistical significance in univariate analysis and clinical significance were enrolled in a binary multivariate Logistic regression model to analyze the influencing factors of ROSC and neurological function at 28 days after ROSC. The predictive value of factors influencing neurological function at 28 days was assessed using receiver operator characteristic curve (ROC curve).

Results: A total of 277 IHCA-CPR patients were enrolled, of which 230 achieved ROSC (83.0%) and 47 were not achieved (17.0%). Compared with non-ROSC patients, ROSC patients had lower prevalence of cerebrovascular disease history and proportion of adrenaline usage, but a higher proportion of initial shockable rhythms. In the multivariate Logistic regression analysis, it was found that using a bag-mask ventilation+endotracheal intubation (compared with a bag-mask ventilation alone) was beneficial for achieving ROSC in IHCA-CPR patients [odds ratio (OR) = 2.895, 95% confidence interval (95%CI) was 1.204-6.962, P = 0.018], while a initial non-shockable rhythm was not conducive to achieving ROSC in IHCA-CPR patients (OR = 0.349, 95%CI was 0.147-0.831, P = 0.017). Among the 230 ROSC patients, 42 had good neurological function at 28 days (18.3%), and 188 had poor neurological function (81.7%). Compared with the patients with good neurological function, the patients with the poor neurological function were older and had a higher prevalence of 1-hour pre-cardiac arrest neurological dysfunction and low perfusion, initial non-shockable rhythms, endotracheal intubation, and usage of adrenaline, vasopressors and sodium bicarbonate, a lower proportion of defibrillation and

Objective: To evaluate the effect of transnasal humidified rapid insufflation ventilatory exchange (THRIVE) on regional cerebral oxygen saturation (rScO₂) during induction of general anesthesia in patients undergoing traumatic brain injury (TBI) emergency surgery.

Methods: A prospective randomized controlled trial was conducted. The TBI emergency general anesthesia patients who underwent intracranial hematoma removal surgery at the Northern Jiangsu People's Hospital from January to July in 2023 were enrolled. The patients were divided into a conventional mask ventilation group and a THRIVE group using a random number table method. The patients in the conventional mask ventilation group were anesthetized and induced to pre oxygenate without positive pressure ventilation in the front mask for 10 minutes, with an oxygen flow rate of 8 L/min and an fraction of inspired oxygen (FiO₂) of 1.00. After anesthesia induction for about 90 s, tracheal intubation was performed after the muscle relaxant took effect (patient's jaw muscle was relaxed). The patients in the THRIVE group were pre oxygenated with THRIVE for 10 minutes, with an oxygen flow rate of 30 L/min and a FiO₂ of 1.00. During anesthesia induction, the oxygen flow rate was increased to 50 L/min, and anesthesia induction medication was used. The lower jaw of patient was supported with both hands to maintain airway patency, and the patient's mouth was kept closed throughout the process. After the muscle relaxant took effect (the patient's jaw muscle was relaxed), tracheal intubation was performed. At the time of patient entering the operating room, 10 minutes of pre oxygenation, and immediately after successful intubation, rScO₂ was measured on the surgical and non-surgical sides. At the same time, ultrasound was used to measure the cross-sectional area (CSA) of the gastric antrum and arterial blood gas analysis was performed. The partial pressure of end-tidal carbon dioxide (P_ETCO₂) during the first mechanical ventilation after successful tracheal intubation, the incidence of hypoxemia [pulse oxygen saturation (SpO₂) < 0.95] during tracheal intubation, as well as prognostic indicators such as the length of intensive care unit (ICU) stay, total length of hospital stay, and Glasgow outcome scale (GOS) score at discharge were recorded.

Results: During the study period, a total of 70 TBI patients underwent emergency general anesthesia surgery, of which 2 patients died postoperatively, 2 patients were unable to cooperate with closed mouth breathing, and 3 patients had poor ultrasound image acquisition in the gastric antrum, all of whom were excluded. A total of 63 patients were ultimately enrolled, including 32 in the conventional mask ventilation group and 31 in the THRIVE group. There were no statistically significant differences in gender, age, body mass ind

Objective: To analyze the early diagnostic value of plasma soluble cluster of differentiation 14 subtype (sCD14-ST, Presepsin) in sepsis in a population with suspected sepsis in fever clinic.

Methods: A prospective observational study was conducted. The patients admitted to the fever clinic of Beijing Chaoyang Hospital from April to December 2022 were enrolled as the study objects. According to sequential organ failure assessment (SOFA) score, the patients were divided into low SOFA score group (SOFA score ≤3) and high SOFA score group (SOFA score > 3). Venous blood was collected at the time of admission. The level of plasma Presepsin was detected by chemiluminescence enzyme-linked immunoassay. The level of plasma procalcitonin (PCT) was detected by enzyme-linked immunofluorescence method. The level of C-reactive protein (CRP) was detected by scattering turbidimetry. White blood cell count (WBC) and neutrophil count (NEUT) were measured by automatic blood cell analyzer. For patients with fear of cold or chills, venous blood of upper limbs was taken for blood culture at the time of admission. The differences in inflammatory biomarkers were compared between the two groups. Binary multivariate Logistic regression analysis was used to screen the early risk factors of sepsis in fever outpatients with suspected sepsis. Receiver operator characteristic curve (ROC curve) was drawn to investigate the early diagnostic value of Presepsin and other inflammatory markers in sepsis, and to analyze the optimal cut-off value.

Results: A total of 149 fever outpatients with suspected sepsis were enrolled, including 92 patients with low SOFA score and 57 patients with high SOFA score. Plasma PCT and Presepsin levels in the high SOFA score group were significantly higher than those in the low SOFA score group [PCT (μg/L): 0.77 (0.18, 2.02) vs. 0.22 (0.09, 0.71), Presepsin (ng/L): 1 129.00 (785.50, 1 766.50) vs. 563.00 (460.50, 772.25), both P < 0.01]. There was no significant difference in WBC, NEUT, CRP or positive rate of blood culture between the high and low SOFA score groups [WBC (×10⁹/L): 11.32±5.47 vs. 11.14±5.29, NEUT (×10⁹/L): 9.88±4.89 vs. 9.60±5.10, CRP (mg/L): 54.05 (15.95, 128.90) vs. 46.11 (19.60, 104.60), blood culture positivity rate: 42.3% (11/26) vs. 29.4% (10/34), all P > 0.05]. Multivariate Logistic regression analysis showed that Presepsin was an early risk factor for sepsis in suspected sepsis patients in fever clinics [odds ratio (OR) = 16.96, 95% confidence interval (95%CI) was 6.35-45.29, P = 0.000]. ROC curve analysis showed that the early diagnostic value of Presepsin in sepsis was significantly better than WBC, NEUT, CRP, PCT, and blood culture [the area under the ROC curve (AUC) and 95%CI: 0.832 (0.771-0.899) vs. 0.522 (0.424-0.619), 0.532 (0.435-0.629), 0.533 (0.435-0.632), 0.664 (0.574-0.753), 0.554 (0.458-0.650)]. When the optimal cut-off value of P

Objective: To summarize the strategy and method for the treatment of critically ill patients with self-made extracorporeal membrane oxygenation (ECMO) system.

Methods: A observative study was conducted. Fifty-six patients with ECMO assisted support in Fuwai Central China Cardiovascular Disease Hospital from December 2020 to December 2021 were enrolled. According to the clinical situation of the patients and the wishes of the family, conventional ECMO package (conventional group) or self-made ECMO package (self-made group) was chosen. In the conventional group, the disposable ECMO package was used to install the machine, pre charge and exhaust the air. In the self-made group, the disposable consumables commonly used in extracorporeal circulation during cardiac surgery (including centrifugal pump heads, membrane oxygenation, tubes, connectors, etc.) were used to create a self-made ECMO system. Based on the patient's situation, personalized tube model selection and length control were carried out. The preparation time, auxiliary time, auxiliary method, total pre charge volume, free hemoglobin (FHb) levels after 2 hours of ECMO operation and operating costs, as well as changes in hemodynamics, arterial blood gas analysis, and blood indicators within 48 hours after ECMO placement in the two groups were recorded. The occurrence of adverse events related to the ECMO system during ECMO adjuvant therapy in two groups was simultaneously observed.

Results: Fifty-six patients were enrolled finally, with 28 cases in the conventional group and 28 cases in the self-made group, and all successfully completed the operation of ECMO. There was no statistically significant difference in ECMO system preparation time, auxiliary time, auxiliary method, and FHb levels after 2 hours of ECMO operation between the conventional group and the self-made group [preparation time (minutes): 13±4 vs. 15±5, auxiliary time (hours): 287±34 vs. 276±42, veno-arterial ECMO (cases): 22 vs. 24, veno-venous ECMO (cases): 6 vs. 4, FHb after 2 hours of ECMO operation (mg/L): 226±67 vs. 253±78, all P > 0.05]. However, the total pre charge volume and operating costs in the self-made group were significantly lower than those in the conventional group [total pre charge volume (mL): 420±25 vs. 650±10, operating costs (ten thousand yuan): 3.8±0.4 vs. 6.7±0.3, both P < 0.01]. The hemodynamics, arterial blood gas analysis, and blood indicators of patients in the two groups were relatively stable within 48 hours after ECMO operation, and most of the indicators between the two groups showed no statistically significant differences. The hemoglobin (Hb) levels at 12, 24, and 48 hours after the machine transfer in the self-made group were significantly higher than those in the conventional group (g/L: 128.5±23.7 vs. 117.5±24.3 at 12 hours, 121.3±31.3 vs. 109.6±33.2 at 24 hours, 118.5±20.1 vs. 105.2±25.7 at 48 hours, all P < 0.05). Both gr

Objective: To construct and validate the best predictive model for 28-day death risk in patients with septic shock based on different supervised machine learning algorithms.

Methods: The patients with septic shock meeting the Sepsis-3 criteria were selected from Medical Information Mart for Intensive Care-IV v2.0 (MIMIC-IV v2.0). According to the principle of random allocation, 70% of these patients were used as the training set, and 30% as the validation set. Relevant predictive variables were extracted from three aspects: demographic characteristics and basic vital signs, serum indicators within 24 hours of intensive care unit (ICU) admission and complications possibly affecting indicators, functional scoring and advanced life support. The predictive efficacy of models constructed using five mainstream machine learning algorithms including decision tree classification and regression tree (CART), random forest (RF), support vector machine (SVM), linear regression (LR), and super learner [SL; combined CART, RF and extreme gradient boosting (XGBoost)] for 28-day death in patients with septic shock was compared, and the best algorithm model was selected. The optimal predictive variables were determined by intersecting the results from LASSO regression, RF, and XGBoost algorithms, and a predictive model was constructed. The predictive efficacy of the model was validated by drawing receiver operator characteristic curve (ROC curve), the accuracy of the model was assessed using calibration curves, and the practicality of the model was verified through decision curve analysis (DCA).

Results: A total of 3 295 patients with septic shock were included, with 2 164 surviving and 1 131 dying within 28 days, resulting in a mortality of 34.32%. Of these, 2 307 were in the training set (with 792 deaths within 28 days, a mortality of 34.33%), and 988 in the validation set (with 339 deaths within 28 days, a mortality of 34.31%). Five machine learning models were established based on the training set data. After including variables at three aspects, the area under the ROC curve (AUC) of RF, SVM, and LR machine learning algorithm models for predicting 28-day death in septic shock patients in the validation set was 0.823 [95% confidence interval (95%CI) was 0.795-0.849], 0.823 (95%CI was 0.796-0.849), and 0.810 (95%CI was 0.782-0.838), respectively, which were higher than that of the CART algorithm model (AUC = 0.750, 95%CI was 0.717-0.782) and SL algorithm model (AUC = 0.756, 95%CI was 0.724-0.789). Thus above three algorithm models were determined to be the best algorithm models. After integrating variables from three aspects, 16 optimal predictive variables were identified through intersection by LASSO regression, RF, and XGBoost algorithms, including the highest pH value, the highest albumin (Alb), the highest body temperature, the lowest lactic acid (Lac), the highest Lac, the highest serum creat

Effectively assessing oxygen delivery and demand is one of the key targets for fluid resuscitation in sepsis. Clinical signs and symptoms, blood lactic acid levels, and mixed venous oxygen saturation (SvO₂) or central venous oxygen saturation (ScvO₂) all have their limitations. In recent years, these limitations have been overcome through the use of derived indicators from carbon dioxide (CO₂) such as mixed veno-arterial carbon dioxide partial pressure difference (Pv-aCO₂, PCO₂ gap, or ΔPCO₂), the ratio of mixed veno-arterial carbon dioxide partial pressure difference to arterial-mixed venous oxygen content difference (Pv-aCO₂/Ca-vO₂). Pv-aCO₂, PCO₂ gap or ΔPCO₂ is not a purely anaerobic metabolism indicator as it is influenced by oxygen consumption. However, it reliably indicates whether blood flow is sufficient to carry CO₂ from peripheral tissues to the lungs for clearance, thus reflecting the adequacy of cardiac output and metabolism. The Pv-aCO₂/Ca-vO₂ may serve as a marker of hypoxia. SvO₂ and ScvO₂ represent venous oxygen saturation, reflecting tissue oxygen utilization. When oxygen delivery decreases but tissues still require more oxygen, oxygen extraction rate usually increases to meet tissue demands, resulting in decreased SvO₂ and ScvO₂. But in some cases, even if the oxygen delivery rate and tissue utilization rate of oxygen are reduced, it may still lead to a decrease in SvO₂ and ScvO₂. Sepsis is a classic example where tissue oxygen utilization decreases due to factors such as microcirculatory dysfunction, even when oxygen delivery is sufficient, leading to decrease in SvO₂ and ScvO₂. Additionally, the solubility of CO₂ in plasma is approximately 20 times that of oxygen. Therefore, during sepsis or septic shock, derived variables of CO₂ may serve as sensitive markers for monitoring tissue perfusion and microcirculatory hemodynamics. Its main advantage over blood lactic acid is its ability to rapidly change and provide real-time monitoring of tissue hypoxia. This review aims to demonstrate the principles of CO₂-derived variables in sepsis, assess the available techniques for evaluating CO₂-derived variables during the sepsis process, and discuss their clinical relevance.

ICU-acquired weakness (ICU-AW) is a common complication in the intensive care unit (ICU). The occurrence of ICU-AW directly leads to prolonged ICU stays for critically ill patients, and in severe cases, it continues to affect their quality of life even after discharge. This article provides a comprehensive review of the research progress on ICU-AW based on domestic and foreign studies, aiming to provide a scientific overview of ICU-AW, including its definition, pathophysiology, diagnosis, screening tools, influencing factors, and potential intervention strategies, so as to promote timely planning and implementation of relevant screening and intervention measures.

Objective: To explore the relationship between the completion time of fluid resuscitation as well as negative fluid balance volumes and the prognosis of patients with septic shock, and to try to construct a prediction model based on the completion time of fluid resuscitation and negative fluid balance volumes, and to verify the predictive efficacy of the model on the prognosis of patients with septic shock.

Methods: Patients with septic shock admitted to Wuxi People's Hospital from April 2020 to April 2023 were selected. The general data (gender, age, body mass index, infection site), pathological indicators on admission, the difference of acute physiology and chronic health evaluation II (APACHE II) and sequential organ failure assessment (SOFA) between admission and 24 hours after fluid resuscitation, the completion time of fluid resuscitation and negative fluid balance volume were recorded. Multivariate Logistic analysis was used to screen the influencing factors of the prognosis of patients with septic shock, and a nomogram model was established. Bootstrap method was used for internal validation of the model. The consistency index, calibration curve and receiver operator characteristic curve (ROC curve) were used to evaluate the accuracy and prediction efficiency of the model.

Results: A total of 96 patients with septic shock were enrolled, 38 patients died and 58 patients survived at 28 days. Compared with the survival group, the difference of APACHE II score, SOFA score, the proportion of fluid resuscitation completed within 1 to 3 hours, and the proportion of negative fluid balance volume -500 to -250 mL per day in the death group were lower, and the differences were statistically significant (all P < 0.05). Multivariate Logistic analysis showed that the completion time of fluid resuscitation was a risk factor for the prognosis of patients with septic shock [odds ratio (OR) = 26.285, 95% confidence interval (95%CI) was 9.984-76.902, P < 0.05]. The difference of APACHE II score (OR = 0.045, 95%CI was 0.015-0.131), SOFA score (OR = 0.056, 95%CI was 0.019-0.165) between admission and 24 hours after fluid resuscitation, and negative fluid balance volume (OR = 0.043, 95%CI was 0.015-0.127) were protective factors for the prognosis of patients with septic shock (all P < 0.05). The model validation results showed that the consistency index was 0.681 (95%CI was 0.596-0.924), indicating good discrimination. The calibration curve showed that the calibration curve fitted well with the ideal curve. The ROC curve showed that the sensitivity of the nomogram model for predicting the death of patients with septic shock was 83.7%, the specificity was 97.2%, and the area under the ROC curve (AUC) was 0.931 (95%CI was 0.846-0.985), indicating that the model had good prediction efficiency.

Conclusions: The completion time of fluid resuscitation and negative fluid balance

The interaction of gut microbiota and its metabolites with the host not only plays an important role in maintaining gut homeostasis and host health, but also is a key link in responding to pathogen infections. A thorough understanding of the changes in gut microbiota and its metabolites during infection, as well as their role and mechanism in host defense against infection, is helpful to guide anti-infection treatment. This review focuses on the role of gut microbiota and their metabolites in host defense against bacterial, fungal, and viral infections, and reveals that they can exert anti-infection effects through resistance mechanisms (inducing antimicrobial substances, training immunity, inhibiting pathogen respiration, directly neutralizing pathogens, immune regulation) and tolerance mechanisms (altering energy metabolism patterns of microbiota, cell proliferation and tissue damage repair, maintaining physiological signal transduction in extraintestinal organs, inflammation regulation, maintaining the integrity of the intestinal barrier), and also summarizes measures to regulate gut microbiota against pathogen infections, in order to provide more ideas for novel anti-infection prevention and treatment strategies targeting gut microbiota and its metabolites.

Objective: To investigate the effects of diquat (DQ) on the expression of intestinal pyroptosis-related proteins and tight junction proteins in rats,and to analyze the role of pyroptosis in the intestinal injury of rats with acute DQ poisoning.

Methods: A total of 36 Wistar male rats were randomly divided into control group, and 3 hours, 12 hours, 36 hours and 3 days exposure groups, with 6 rats in each group. Each exposure group was given 1/2 median lethal dose (LD50) of 115.5 mg/kg DQ by one-time gavage. The control group was given the same amount of normal saline by gavage. The control group was anesthetized at 3 hours after DQ gavage to take jejunal tissues; each exposure group was anesthetized at 3 hours, 12 hours, 36 hours, and 3 days after DQ gavage to take jejunal tissues, respectively. The general conditions of the rats were recorded. The pathological changes of jejunum tissue were observed by hematoxylin-eosin (HE) staining. The expression of intestinal pyroptosis-related proteins [NOD-like receptor protein 3 (NLRP3), cysteine aspartate-specific protease 1 (caspase-1), Gasdemin D (GSDMD)] in the intestinal tissues was observed by immunohistochemical staining. Western blotting was used to detect the expression of intestinal pyroptosis-related proteins and intestinal tight junction proteins (Occludin and Claudin-1).

Results: Light microscopy showed that pathological changes occurred in jejunum tissue at the early stage of exposure (3 hours), and the injury was the most serious in the 12 hours exposure group, with a large number of inflammatory cells infiltrating in the tissue, and the damage was significantly reduced after 3 days exposure. Immunohistochemical results showed that NLRP3, caspase-1 and GSDMD were expressed in the jejunal mucosa of the control group and the exposure groups, and the positive cells in the control group were less expressed with light staining. The expression of the above proteins in the exposed group was increased significantly and the staining was deep. Western blotting results showed that compared with the control group, the expression of NLRP3 protein in jejunum tissues of all groups was increased, with the most significant increase in the 36 hours group (NLRP3/β-actin: 1.47±0.06 vs. 0.43±0.14, P < 0.01). Compared with the control group, the expression of GSDMD protein in the 3 hours, 12 hours and 36 hours exposure groups increased, and the expression of GSDMD protein in the 3 hours and 12 hours exposure groups increased significantly (GSDMD/β-actin: 1.04±0.40, 1.25±0.15 vs. 0.65±0.25, both P < 0.05). The expression of caspase-1 protein was increased in 36 hours exposure group compared with the control group (caspase-1/β-actin: 1.44±0.34 vs. 0.98±0.19, P > 0.05). Compared with the control group, the expression of Occludin and Claudin-1 proteins in each exposure group decreased, and the expression of Occludin proteins was significantly decreased