To investigate the efficacy of amiodarone and lidocaine in cardiac arrest patients.

Objective: To investigate the effects of blood component transfusion on the prognosis of patients with varying severity of traumatic brain injury (TBI). Methods: A retrospective analysis was conducted on clinical data from 621 TBI patients admitted between January 2012 and December 2022. The patients in the blood transfusion group were categorized into three groups based on Glasgow Coma Scale (GCS) scores: severe impairment (GCS 3-8, n=302), moderate impairment (GCS 9-12, n=186), and mild impairment (GCS 13-14, n=133). General clinical data and laboratory test indexes were analyzed. Patients were further divided into two subgroups based on in-hospital mortality: death group (n=72) vs survival group (n=549). Univariate and multivariate logistic regression analysis was used to analyze the effects of different blood component transfusion volumes on the prognosis of TBI patients. ROC curve was used to evaluate the prognostic value of red blood cell transfusion volume. Results: Patients with GCS scores 3-8 had significantly longer hospital stays (21.73±15.89 vs 20.83±11.54 vs 15.5±7.76) and higher RBC transfusion volumes (6.16±6.79 vs 4.67±2.81 vs 3.67±3.20) than the other two groups (P<0.05). NLR, PCT, CRP, PT, Fib, FDP and DDI after the last transfusion showed significant differences from pre-transfusion values (P<0.05). The death group exhibited higher transfusion volumes of RBCs, plasma, platelets, and cryoprecipitate compared with the survival group (P<0.05). Univariate (OR: 1.541, 95%CI: 1.412-1.682) and multivariate (OR: 1.522, 95%CI: 1.362-1.700) logistic regression analyses showed that the RBC transfusion volume was a risk factor affecting the prognostic factors of TBI patients after infusion of blood components. ROC curve analysis showed that RBC transfusion volume could serve as a prognostic marker (sensitivity: 0.708, specificity: 0.812). Conclusion: Blood component transfusion alters inflammatory and coagulation markers in patients with different degrees of TBI, and RBC transfusion volume is a viable prognostic indicator for TBI outcomes.

OBJECTIVE: To assess the relationship between blood pressure reactivity index (BPRI) and in-hospital mortality risk in patients with sepsis-associated acute kidney injury (SA-AKI). METHODS: A retrospective cohort study was conducted to collect data from patients admitted to the intensive care unit (ICU) and clinically diagnosed with SA-AKI between 2008 and 2019 in the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database in the United States. The collected data included demographic characteristics, comorbidities, vital signs, laboratory parameters, sequential organ failure assessment (SOFA) and simplified acute physiology scoreII(SAPSII) within 48 hours of SA-AKI diagnosis, stages of AKI, treatment regimens, mean BPRI during the first and second 24 hours (BPRI_0_24, BPRI_24_48), and outcome measures including primary outcome (in-hospital mortality) and secondary outcomes (ICU length of stay and total hospital length of stay). Variables with statistical significance in univariate analysis were included in LASSO regression analysis for variable selection, and the selected variables were subsequently incorporated into multivariate Logistic regression analysis to identify independent predictors associated with in-hospital mortality in SA-AKI patients. Restricted cubic spline (RCS) analysis was employed to examine whether there was a linear relationship between BPRI within 48 hours and in-hospital mortality in SA-AKI patients. Basic prediction models were constructed based on the independent predictors identified through multivariate Logistic regression analysis, and receiver operator characteristic curve (ROC curve) was plotted to evaluate the predictive performance of each basic prediction model before and after incorporating BPRI. RESULTS: A total of 3 517 SA-AKI patients admitted to the ICU were included, of whom 826 died during hospitalization and 2 691 survived. The BPRI values within 48 hours of SA-AKI diagnosis were significantly lower in the death group compared with the survival group [BPRI_0_24: 4.53 (1.81, 8.11) vs. 17.39 (5.16, 52.43); BPRI_24_48: 4.76 (2.42, 12.44) vs. 32.23 (8.85, 85.52), all P < 0.05]. LASSO regression analysis identified 20 variables with non-zero coefficients that were included in the multivariate Logistic regression analysis. The results showed that respiratory rate, temperature, pulse oxygen saturation (SpO₂), white blood cell count (WBC), hematocrit (HCT), activated partial thromboplastin time (APTT), lactate, oxygenation index, SOFA score, fluid balance (FB), BPRI_0_24, and BPRI_24_48 were all independent predictors for in-hospital mortality in SA-AKI patients (all P < 0.05). RCS analysis revealed that both BPRI showed "L"-shaped non-linear relationships with the risk of in-hospital mortality in SA-AKI patients. When BPRI_0_24 ≤ 14.47 or BPRI_24_48 ≤ 24.21, the risk of in-hospital mortality in SA-AKI increased as BPRI values decreased. Three basic prediction models were constructed based on the identified independent predictors: Model 1 (physiological indicator model) included respiratory rate, temperature, SpO₂, and oxygenation index; Model 2 (laboratory indicator model) included WBC, HCT, APTT, and lactate; Model 3 (scoring indicator model) included SOFA score and FB. ROC curve analysis showed that the predictive performance of the basic models ranked from high to low as follows: Model 3, Model 2, and Model 1, with area under the curve (AUC) values of 0.755, 0.661, and 0.655, respectively. The incorporation of BPRI indicators resulted in significant improvement in the discriminative ability of each model (all P < 0.05), with AUC values increasing to 0.832 for Model 3+BPRI, 0.805 for Model 2+BPRI, and 0.808 for Model 1+BPRI. CONCLUSIONS BPRI is an independent predictor factor for in-hospital mortality in SA-AKI patients. Incorporating BPRI into the prediction model for in-hospital mortality risk in SA-AKI can significantly improve its predictive capability.
Humans ; Acute Kidney Injury/mortality* ; Sepsis/complications* ; Retrospective Studies ; Hospital Mortality ; Prognosis ; Blood Pressure ; Intensive Care Units ; Male ; Female ; Length of Stay ; Middle Aged ; Aged ; Adult ; Logistic Models

Objective:To investigate the early clinical characteristics of elderly patients with severe burns and the risk factors on prognosis.Methods:This study was a retrospective case series study. Clinical data of 124 elderly patients with severe burns who met the inclusion criteria and were admitted to the 12 hospitals from January 2015 to December 2020 were collected, including 4 patients from the Fourth People's Hospital of Dalian, 5 patients from Fujian Medical University Union Hospital, 22 patients from Guangzhou Red Cross Hospital of Jinan University, 5 patients from Heilongjiang Provincial Hospital, 27 patients from the First Affiliated Hospital of Naval Medical University, 9 patients from the First Affiliated Hospital of Nanchang University, 10 patients from Affiliated Hospital of Nantong University, 9 patients from Tongren Hospital of Wuhan University & Wuhan Third Hospital, 12 patients from the 924 th Hospital of PLA, 6 patients from Zhangjiagang First People's Hospital, 4 patients from Taizhou Hospital of Zhejiang Province, and 11 patients from Zhengzhou First People's Hospital. The patients' overall clinical characteristics, such as gender, age, body mass index, total burn area, full-thickness burn area, inhalation injury, causative factors, whether combined with underlying medical diseases, and admission time after injury were recorded. According to the survival outcome within 28 days after injury, the patients were divided into survival group (89 cases) and death group (35 cases). The following data of patients were compared between the two groups, including the basic data and injuries (the same as the overall clinical characteristics ahead); the coagulation indexes within the first 24 hours of injury such as prothrombin time (PT), activated partial thromboplastin time (APTT), thrombin time, D-dimer, fibrinogen degradation product (FDP), international normalized ratio (INR), and fibrinogen; the blood routine indexes within the first 24 hours of injury such as white blood cell count, platelet count, neutrophil-to-lymphocyte ratio, monocyte count, red blood cell count, hemoglobin, and hematocrit; the organ function indexes within the first 24 hours of injury such as direct bilirubin, total bilirubin, urea, serum creatinine, aspartate aminotransferase, alanine aminotransferase, total protein, albumin, globulin, blood glucose, triglyceride, total cholesterol, alkaline phosphatase, creatine kinase, electrolyte indexes (potassium, sodium, chlorine, calcium, magnesium, and phosphorus in blood), uric acid, myoglobin, and brain natriuretic peptide; the infection and blood gas indexes within the first 24 hours of injury such as procalcitonin, C-reactive protein, pH value, oxygenation index, base excess, and lactate; treatment such as whether conducted with mechanical ventilation, whether conducted with continuous renal replacement therapy, whether conducted with anticoagulation therapy, whether applied with vasoactive drugs, and fluid resuscitation. The analysis was conducted to screen the independent risk factors for the mortality within 28 days after injury in elderly patients with severe burns. Results:Among 124 patients, there were 82 males and 42 females, aged 60-97 years, with body mass index of 23.44 (21.09, 25.95) kg/m 2, total burn area of 54.00% (42.00%, 75.00%) total body surface area (TBSA), and full-thickness burn area of 25.00% (10.00%, 40.00%) TBSA. The patients were mainly combined with moderate to severe inhalation injury and caused by flame burns. There were 43 cases with underlying medical diseases. The majority of patients were admitted to the hospital within 8 hours after injury. There were statistically significant differences between patients in the 2 groups in terms of age, total burn area, full-thickness burn area, and inhalation injury, and PT, APTT, D-dimer, FDP, INR, white blood cell count, platelet count, urea, serum creatinine, blood glucose, blood sodium, uric acid, myoglobin, and urine volume within the first 24 hours of injury (with Z values of 2.37, 5.49, 5.26, 5.97, 2.18, 1.95, 2.68, 2.68, 2.51, 2.82, 2.14, 3.40, 5.31, 3.41, 2.35, 3.81, 2.16, and -3.82, respectively, P<0.05); there were statistically significant differences between two groups of patients in whether conducted with mechanical ventilation and whether applied with vasoactive drugs (with χ2 values of 9.44 and 28.50, respectively, P<0.05). Age, total burn area, full-thickness burn area, serum creatinine within the first 24 hours of injury, and APTT within the first 24 hours of injury were the independent risk factors for the mortality within 28 days after injury in elderly patients with severe burns (with odds ratios of 1.17, 1.10, 1.10, 1.09, and 1.27, 95% confidence intervals of 1.03-1.40, 1.04-1.21, 1.05-1.19, 1.05-1.17, and 1.07-1.69, respectively, P<0.05). Conclusions:The elderly patients with severe burns had the injuries mainly from flame burns, often accompanied by moderate to severe inhalation injury and enhanced inflammatory response, elevated blood glucose levels, activated fibrinolysis, and impaired organ function in the early stage, which are associated with their prognosis. Age, total burn area, full-thickness burn area, and serum creatinine and APTT within the first 24 hours of injury are the independent risk factors for death within 28 days after injury in this population.

Objective:To investigate the impact of the early infusion rate on prognosis and the factors of influencing the infusion rate in patients with severe burns and inhalation injury.Methods:This study was a retrospective case series research. From January 2015 to December 2020, 220 patients with severe burns and inhalation injury meeting the inclusion criteria were admitted to 7 burn treatment centers in China, including 13 cases in the Fourth People's Hospital of Dalian, 26 cases in the First Affiliated Hospital of Naval Medical University, 73 cases in Guangzhou Red Cross Hospital of Jinan University, 21 cases in the 924 th Hospital of PLA, 30 cases in the First Affiliated Hospital of Jiangxi Medical College of Nanchang University, 30 cases in Tongren Hospital of Wuhan University & Wuhan Third Hospital, and 27 cases in Zhengzhou First People's Hospital. There were 163 males and 57 females, and their ages ranged from 18 to 91 years. The patients were divided into survival group and death group according to the survival within 28 d post injury. The following data of patients in the 2 groups were collected, including basic information (gender, age, body weight, body temperature, etc.), the injury characteristics (total burn area, post-injury admission time, etc.), the underlying diseases, the post-injury fluid resuscitation condition (infusion rate and ratio of infused electrolyte solution to colloid solution in the first 24 h post injury, etc.), the results of laboratory tests on admission (blood urea nitrogen, blood creatinine, albumin, pH value, base excess, blood lactate, oxygenation index, etc.), and treatment condition (inhaled oxygen volume fraction, hospitalization day, renal replacement therapy, etc.). After adjusting covariates using univariate Cox regression analysis, the multivariate Cox regression analysis was performed to evaluate the impact of infusion rate in the first 24 h post injury on patient death. The receiver operator characteristic curve for the infusion rate in the first 24 h post injury to predict the risk of death was plotted, and the maximum Youden index was calculated. Patients were divided into 2 groups according to the cutoff value (2.03 mL·kg -1·% total body surface area (TBSA) -1) for predicting risk of death by the infusion rate in the first 24 h post injury determined by the maximum Youden index, and the risk of death was compared between the 2 groups. The correlation between the previously mentioned clinical data and the infusion rate in the first 24 h post injury was analyzed; after the univariate linear regression analysis was used to screen the independent variables, the multivariate linear regression analysis was performed to screen the independent influential factors on the infusion rate in the first 24 h post injury. Results:Compared with those in survival group, patients in death group had significantly higher age and total burn area (with Z values of 12.08 and 23.71, respectively, P<0.05), the infusion rate in the first 24 h post injury, inhaled oxygen volume fraction, and blood urea nitrogen, blood creatinine, blood lactic acid on admission (with Z values of 7.99, 4.01, 11.76, 23.24, and 5.97, respectively, P<0.05), and the proportion of patients treated with renal replacement therapy ( P<0.05) were significantly higher, the albumin, pH value, and base excess on admission were significantly lower ( t=2.72, with Z values of 8.18 and 9.70, respectively, P<0.05), and the hospitalization day was significantly reduced ( Z=85.47, P<0.05). After adjusting covariates, the infusion rate in the first 24 h post injury was the independent influential factor on death (with standardized hazard ratio of 1.69, 95% confidence interval of 1.21-2.37, P<0.05). Patients in infusion rate ≥2.03 mL·kg -1·%TBSA -1 group had a significantly higher risk of death than those in infusion rate <2.03 mL·kg -1·% TBSA -1 group (with hazard ratio of 3.47, 95% confidence interval of 1.48-8.13, P<0.05). There was a significant correlation between total burn area, body weight, inhaled oxygen volume fraction, body temperature, post-injury admission time, the ratio of infused electrolyte solution to colloid solution in the first 24 h post injury, and oxygenation index <300 on admission and the infusion rate in the first 24 h post injury (with r values of -0.192, -0.215, 0.137, -0.162, -0.252, and 0.314, respectively, Z=4.48, P<0.05). After screening the independent variables, total burn area, body weight, post-injury admission time, and oxygenation index <300 on admission were the independent influential factors on the infusion rate in the first 24 h post injury (with standardized β values of -0.22, -0.22, -0.19, and 0.46, respectively, 95% confidence intervals of -0.34 to 0.09, -0.34 to 0.10, -0.32 to 0.06, and 0.22 to 0.71, respectively, P<0.05). Conclusions:The infusion rate in the first 24 h post injury in patients with severe burns and inhalation injury is the independent factor of influencing death, and patients with infusion rate ≥2.03 mL·kg -1·%TBSA -1 in the first 24 h post injury have a significantly increased risk of death. The total burn area, body weight, post-injury admission time, and oxygenation index <300 on admission were the independent factors of influencing the infusion rate in the first 24 h post injury in patients with severe burns and inhalation injury.

Objective:To translate the perceived stressors in intensive care units Scale into Chinese version,and to validate its validity and reliability and in intensive healthcare professionals.Methods:The Perceived Stressors in Intensive Care Units Scale was translated according to the Brislin translation model.After cultural adjustment,495 ICU healthcare professionals were selected to evaluate the validity and reliability of the scale,and univariate analysis was conducted on the scores of the Scale with different characteristics.Results:The Chinese version of the scale re-tained 40 items,and 6 common factors were extracted after exploratory factor analysis.The cumulative variance contribution rate reached 58.21％.Confirmatory factor analysis showed a basic fit of the model(x2/df=2.85,CFI=0.93,TLI=0.93,RMSEA=0.09).The total Cronbach coefficient of the scale was 0.940 and the split-half relia-bility was 0.87.The retest reliability after 2 weeks was 0.92.The item-level content validity index of the Chinese version of The Perceived Stressors in Intensive Care Units Scale was 0.83～1.00,the scale-level content validity index was 0.93,and the average content validity was 0.98.Comparison of the total scores of scale among ICU healthcare professionals with different occupations,professional titles,marital status and working years showed sta-tistically significant differences(P＜0.05).Conclusion:The Chinese version of the Perceived Stressors in Intensive Care Units Scale is proved to be a good instrument with acceptable validity and reliability.

Objective:To conduct a visual analysis of the literature on burn-related coagulation dysfunction and to explore the current research status, evolution process, hot topics, and future research trends in burn-related coagulation dysfunction at home and abroad.Methods:The bibliometrics method was used. The literature on burn-related coagulation dysfunction which were published in Web of Science and China National Knowledge Internet databases from January 1, 1950 to May 1, 2022, and met the inclusion criteria were retrieved for publication volume analysis. The literature on burn-related coagulation dysfunction were retrieved as above in the core collection of Web of Science and China National Knowledge Internet databases, and CiteSpace 5.8.R3 software was used to perform co-occurrence analysis, cluster analysis, and literature co-citation analysis of key words. Results:A total of 501 and 235 literature on burn-related coagulation dysfunction were retrieved from Web of Science database and China National Knowledge Internet database, respectively. The literature on burn-related coagulation dysfunction emerged from 1975 and 1950, respectively, in China and abroad, which were gradually increased later. The frequency and centrality of Chinese key words such as 烧伤, 凝血功能, 血小板 were high in 235 literature in China National Knowledge Internet database, and the frequency and centrality of key words such as burn, coagulation, and deep vein thrombosis were high in 340 literature in the core collection of Web of Science database. In China National Knowledge Internet database, the top 6 Chinese key words in terms of burst intensity were 烧伤患者, 临床意义, 烧伤面积, 凝血功能, 预后, 血小板, and the first 3 among which were burst key words in the early stage; and in the core collection of Web of Science database, the key words with higher burst intensity were disseminated intravascular coagulation and pulmonary embolism, which were the burst key words in the early stage. The representative clustering labels in China National Knowledge Internet database were #0 烧伤, #1 休克, and #2 并发症, etc., and the representative clustering labels in the core collection of Web of Science database were #0 risk, #1 surgical patient, and #2 sepsis. Early researches in China National Knowledge Internet database and the core collection of Web of Science database focused on the presence of burn-related coagulation dysfunction itself, while the late researches focused on the relationship between burn-related coagulation dysfunction and inflammation, immunity, coagulation in general, and wounds. From 2010 onwards, there were a large number of core cited literature in the core collection of Web of Science database, and the prevention and treatment of vein thromboembolism was the most popular research direction in recent years. The researches on optimization and standardization of diagnostic methods and the overall mechanism of burn-related coagulation dysfunction would be the main research directions in the future. Conclusions:The research hotspots and evolution processes of burn-related coagulation dysfunction at home and abroad have both similarities and differences, and the current research hotspot is the relationship between coagulation and inflammation, immunity. With researches increasingly deepening, the researches on optimization and standardization of diagnostic methods and the overall mechanism of burn-related coagulation dysfunction will be the main research directions in the future.

Stroma surrounding the tumor cells plays crucial roles for tumor progression. However, little is known about the factors that maintain the symbiosis between stroma and tumor cells. In this study, we found that the transcriptional regulator-signal transducer and activator of transcription 3 (Stat3) was frequently activated in cancer-associated fibroblasts (CAFs), which was a potent facilitator of tumor malignancy, and formed forward feedback loop with platelet-activating factor receptor (PAFR) both in CAFs and tumor cells. Importantly, PAFR/Stat3 axis connected intercellular signaling crosstalk between CAFs and cancer cells and drove mutual transcriptional programming of these two types of cells. Two central Stat3-related cytokine signaling molecules-interleukin 6 (IL-6) and IL-11 played the critical role in the process of PAFR/Stat3 axis-mediated communication between tumor and CAFs. Pharmacological inhibition of PAFR and Stat3 activities effectively reduced tumor progression using CAFs/tumor co-culture xenograft model. Our study reveals that PAFR/Stat3 axis enhances the interaction between tumor and its associated stroma and suggests that targeting this axis can be an effective therapeutic strategy against tumor malignancy.

OBJECTIVE: To investigate the correlation between early-stage blood pressure indexes and prognosis in sepsis patients. METHODS: A retrospective cohort study was conducted on the medical records of patients diagnosed with sepsis from 2001 to 2012 in the Medical Information Mart for Intensive Care-III (MIMIC-III) database. Patients were divided into survival group and death group according to the 28-day prognosis. General data of patients and heart rate (HR) and blood pressure at admission to ICU and within 24 hours after admission were collected. The blood pressure indexes including the maximum, median and mean value of systolic index, diastolic index and mean arterial pressure (MAP) index were calculated. The data were randomly divided into training set and validation set (4 : 1). Univariate Logistic regression analysis was used to screen covariates, and multivariate Logistic stepwise regression models were further developed. Model 1 (including HR, blood pressure, and blood pressure index related variables with P < 0.1 and other variables with P < 0.05) and Model 2 (including HR, blood pressure, and blood pressure index related variables with P < 0.1) were developed respectively. The receiver operator characteristic curve (ROC curve), precision recall curve (PRC) and decision curve analysis (DCA) curve were used to evaluate the quality of the two models, and the influencing factors of the prognosis of sepsis patients were analyzed. Finally, nomogram model was developed according to the better model and effectiveness of it was evaluated. RESULTS: A total of 11 559 sepsis patients were included in the study, with 10 012 patients in the survival group and 1 547 patients in the death group. There were significant differences in age, survival time, Elixhauser comorbidity score and other 46 variables between the two groups (all P < 0.05). Thirty-seven variables were preliminarily screened by univariate Logistic regression analysis. After multivariate Logistic stepwise regression model screening, among the indicators related to HR, blood pressure and blood pressure index, the HR at admission to ICU [odds ratio (OR) = 0.992, 95% confidence interval (95%CI) was 0.988-0.997] and the maximum HR (OR = 1.006, 95%CI was 1.001-1.011), maximum MAP index (OR = 1.620, 95%CI was 1.244-2.126), mean diastolic index (OR = 0.283, 95%CI was 0.091-0.856), median systolic index (OR = 2.149, 95%CI was 0.805-4.461), median diastolic index (OR = 3.986, 95%CI was 1.376-11.758) were selected (all P < 0.1). There were 14 other variables with P < 0.05, including age, Elixhauser comorbidity score, continuous renal replacement therapy (CRRT), use of ventilator, sedation and analgesia, norepinephrine, norepinephrine, highest serum creatinine (SCr), maximum blood urea nitrogen (BUN), highest prothrombin time (PT), highest activated partial thromboplastin time (APTT), lowest platelet count (PLT), highest white blood cell count (WBC), minimum hemoglobin (Hb). The ROC curve showed that the area under the curve (AUC) of Model 1 and Model 2 were 0.769 and 0.637, respectively, indicating that model 1 had higher prediction accuracy. The PRC curve showed that the AUC of Model 1 and Model 2 were 0.381 and 0.240, respectively, indicating that Model 1 had a better effect. The DCA curve showed that when the threshold was 0-0.8 (the probability of death was 0-80%), the net benefit rate of Model 1 was higher than that of Model 2. The calibration curve showed that the prediction effect of the nomogram model developed according to Model 1 was in good agreement with the actual outcome. The Bootstrap verification results showed that the nomogram model was consistent with the above results and had good prediction effects. CONCLUSIONS The nomogram model constructed has good prediction effects on the 28-day prognosis in sepsis patients, and the blood pressure indexes are important predictors in the model.
Humans ; Cohort Studies ; Retrospective Studies ; Blood Pressure ; Intensive Care Units ; ROC Curve ; Sepsis/diagnosis* ; Prognosis ; Critical Care ; Norepinephrine

Bronchiectasis is a chronic, structural lung disease characterized by chronic cough, sputum production, and decreased exercise capacity. These symptoms worsen during exacerbations and impact negatively on health-related quality of life. Airway mucus clearance and pulmonary rehabilitation play an important role in the management of bronchiectasis, despite a relatively weak evidence base. Thus, the paper reviews the physiological rationale and clinical evidence of airway clearance techniques (ACTs), application and research progress of pulmonary rehabilitation in the management of bronchiectasis.