The Sepsis Coagulopathy Asahi Recombinant LE Thrombomodulin (SCARLET) trial has many defects, and thus cannot be the terminator of recombinant thrombomodulin (rTM). On the contrary, it provides sufficient evidence for further research. Based on analysis focusing on the failure of SCARLET and several previous anticoagulant studies, it is most important for new studies to grasp the following two points: (1) The enrolled cases should have sufficient disease severity and a clear standard for disseminated intravascular coagulation; (2) Heparin should not be used in combination with the investigated drugs. Multiple post-hoc analyses show that no combination of heparin will not increase the risk of thromboembolism. In fact, the combination of heparin can mask the true efficacy of the investigated drug. Due to the complexity of sepsis treatment and the limitations of clinical studies, the results of all treatment studies should be repeatedly verified, rather than be determined at one stroke. Some research conclusions contrary to disease physiology, pharmacology and clinical practice may be deceptive, and should be cautious rather than be simply accepted. On the other hand, the dissenting voices in the "consensus" scene are often well discussed by the authors and should be highly valued.
Humans ; Anticoagulants/therapeutic use* ; Thrombomodulin/therapeutic use* ; Blood Coagulation Disorders ; Disseminated Intravascular Coagulation/drug therapy* ; Sepsis/drug therapy* ; Heparin/therapeutic use* ; Recombinant Proteins

OBJECTIVES: To investigate the clinical value of complement-3a receptor 1 (C3aR1) and neutrophil extracellular traps (NETs) in predicting sepsis-induced coagulopathy (SIC). METHODS: A prospective study was conducted among 78 children with sepsis who attended Xuzhou Children's Hospital Affiliated to Xuzhou Medical University from June 2022 to June 2023. According to the presence or absence of SIC, they were divided into two groups: SIC (n=36) and non-SIC (n=42) . The two groups were compared in terms of clinical data and the levels of C3aR1 and NETs. The factors associated with the occurrence of SIC were analyzed. The receiver operating characteristic (ROC) curve was used to evaluate the performance of C3aR1 and NETs in predicting SIC. RESULTS: Compared with the non-SIC group, the SIC group had significantly higher levels of C-reactive protein, interleukin-6 (IL-6), interleukin-10, C3aR1, and NETs (P<0.05). The multivaiate logistic regression analysis showed that the increases in C3aR1, NETs, and IL-6 were closely associated with the occurrence of SIC (P<0.05). The ROC curve analysis showed that C3aR1 combined with NETs had an area under the curve (AUC) of 0.913 in predicting SIC (P<0.05), which was significantly higher than the AUC of C3aR1 or IL-6 (P<0.05), while there was no significant difference in AUC between C3aR1 combined with NETs and NETs alone (P>0.05). CONCLUSIONS There are significant increases in the expression levels of C3aR1 and NETs in the peripheral blood of children with SIC, and the expression levels of C3aR1 and NETs have a high clinical value in predicting SIC.
Child ; Humans ; Extracellular Traps ; Interleukin-6 ; Prospective Studies ; Sepsis/complications* ; C-Reactive Protein ; Blood Coagulation Disorders ; ROC Curve ; Prognosis

OBJECTIVE: To investigate the safety of laparoscopic pancreaticoduodenectomy (LPD) in elderly patients and the related risk factors admitted to the intensive care unit (ICU) after LPD. METHODS: The perioperative data of patients who underwent LPD in Tianjin Medical University General Hospital from February 2017 to June 2023 were retrospectively collected, including basic data, preoperative laboratory indicators, intraoperative and postoperative indicators, pathological results (tumor size, lymph node dissection and pathological type), postoperative complications, ICU postoperative management and prognosis. The patients were divided into the elderly group (≥ 65 years) and the non-elderly group (< 65 years) according to age. Perioperative data between two groups were compared. Kaplan-Meier survival curve was drawn to analyze the survival rate of the elderly group and the non-elderly group, and the pancreatic head carcinoma group and other type of tumors group after LPD. Logistic regression was used to analyze the risk factors of ICU stay (length of ICU stay > 1 day) after LPD in elderly patients. The receiver operator characteristic curve (ROC curve) was drawn to analyze the predictive value of this risk factor for ICU stay after LPD in elderly patients. RESULTS: A total of 160 patients were enrolled, including 57 cases in the elderly group (17 cases of vascular reconstruction) and 103 cases in the non-elderly group (40 cases of vascular reconstruction). All patients underwent R0 resection and were transferred to the comprehensive ICU for treatment. The follow-up time of patients with malignant tumors was 43 (6, 72) months. The elderly group had significantly longer surgery time, postoperative hospital stay and oral feeding time than the non-elderly group, and the incidence of delayed gastric emptying (DGE) was significantly higher than that in the non-elderly group. There were no significant differences in intraoperative blood transfusion rate, intraoperative blood loss, pathological results, short-term and severe postoperative complications, reoperation rate and 90-day mortality between the two groups. In patients with vascular resection reconstruction, the intraoperative blood loss in the elderly group was significantly higher than that in the non-elderly group, and the operation time and postoperative hospital stay were significantly longer. During ICU, the acute physiology and chronic health evaluation II [APACHE II: 12 (9, 14) vs. 8 (7, 10)], sequential organ failure assessment [SOFA: 6 (4, 8) vs. 3 (2, 5)] within 24 hours after admission to ICU were significantly increased in the elderly group (both P < 0.05), the time of mechanical ventilation [hours: 12 (10, 15) vs. 9 (5, 13)] and the length of ICU stay [days: 2 (1, 2) vs. 1 (1, 1)] were significantly increased in the elderly group (both P < 0.05), and the proportion of multi-disciplinary team (MDT) was also significantly increased in the elderly group (33.3% vs. 17.4%, P < 0.05), there were no significant differences in the levels of hemoglobin (Hb), albumin, and blood lactic acid between the two groups. Logistic regression analysis showed that the APACHE II score was an independent risk factor for ICU stay after LPD in elderly patients (β = 1.737, P = 0.028). ROC curve showed that the prediction performance was the best when the APACHE II score was 13, with the sensitivity of 72.41% and the specificity of 96.43%, and the area under the ROC curve (AUC) of 0.884. The Kaplan-Meier survival curve showed that there were no significant difference in median survival time (months: 24.1 vs. 24.7) and 5-year survival rate (19.01% vs. 19.02%) between the elderly group (52 cases) and the non-elderly group (92 cases) among the 144 patients with malignant tumors (both P > 0.05). The median survival time in the pancreatic head carcinoma group was significantly shorter than that in the other tumors group (63 cases; months: 20.2 vs. 40.1, P < 0.05), 5-year survival rate was significantly lower than that in the other tumors group (21.98% vs. 30.91%, P < 0.05). CONCLUSIONS LPD is a safe and feasible treatment for elderly patients. APACHE II score has a certain predictive value for ICU stay after LPD in elderly patients.
Humans ; Aged ; Middle Aged ; Sepsis/therapy* ; ROC Curve ; Pancreaticoduodenectomy/adverse effects* ; Retrospective Studies ; Blood Loss, Surgical ; Prognosis ; Pancreatic Neoplasms/surgery* ; Postoperative Complications ; Intensive Care Units

OBJECTIVE: To investigate the association between the glucose-to-lymphocyte ratio (GLR) and prognosis of patients with sepsis-associated acute kidney injury (SA-AKI). METHODS: Based on the Medical Information Mart for Intensive Care-IV (MIMIC-IV), SA-AKI patients aged ≥ 18 years were selected. According to the tertiles of GLR, the patients were divided into GLR1 group (GLR ≤ 4.97×10^-9 mmol), GLR2 group (4.97×10^-9 mmol < GLR < 9.75×10^-9 mmol) and GLR3 group (GLR ≥ 9.75×10^-9 mmol). Patients with SA-AKI were divided into survival group and death group according to whether they survived 28 days after admission. The patient's gender, age, vital signs, laboratory test results, comorbidities, sequential organ failure assessment (SOFA), acute physiology score III (APS III) score and treatment measures were extracted from the database. Kaplan-Meier survival analysis was used to make the survival curves of patients with SA-AKI at 28 days, 90 days, 180 days and 1 year. Multivariate Logistic regression analysis model was used to explore the independent risk factors of 28-day mortality in patients with SA-AKI. Receiver operator characteristic curve (ROC curve) was used to analyze the predictive efficacy of GLR for the prognosis of patients with SA-AKI. RESULTS: A total of 1 524 patients with SA-AKI were included, with a median age of 68.28 (58.96, 77.24) years old, including 612 females (40.16%) and 912 males (59.84%). There were 507 patients in the GLR1 group, 509 patients in the GLR2 group and 508 patients in the GLR3 group. There were 1 181 patients in the 28-day survival group and 343 patients in the death group. Grouping according to GLR tertiles showed that with the increase of GLR, the 28-day, 90-day, 180-day and 1-year mortality of SA-AKI patients gradually increased (28-day mortality were 11.64%, 22.00%, 33.86%, respectively; 90-day mortality were 15.98%, 26.72%, 40.55%, respectively; 180-day mortality were 17.16%, 28.29% and 41.73%, and the 1-year mortality were 17.95%, 29.27% and 42.72%, respectively, all P < 0.01). According to 28-day survival status, the GLR of the death group was significantly higher than that of the survival group [×10^-9 mmol: 9.81 (5.75, 20.01) vs. 6.44 (3.64, 10.78), P < 0.01]. Multivariate Logistic regression analysis showed that GLR was an independent risk factor for 28-day mortality in patients with SA-AKI [when GLR was used as a continuous variable: odds ratio (OR) = 1.065, 95% confidence interval (95%CI) was 1.045-1.085, P < 0.001; when GLR was used as a categorical variable, compared with GLR1 group: GLR2 group OR = 1.782, 95%CI was 1.200-2.647, P = 0.004; GLR3 group OR = 2.727, 95%CI was 1.857-4.005, P < 0.001]. ROC curve analysis showed that the area under the ROC curve (AUC) of GLR for predicting 28-day mortality in patients with SA-AKI was 0.674, when the optimal cut-off value was 8.769×10^-9 mmol, the sensitivity was 57.1% and the specificity was 67.1%. The predictive performance was improved when GLR was combined with APS III score and SOFA score, and the AUC was 0.806, the sensitivity was 74.6% and the specificity was 71.4%. CONCLUSIONS GLR is an independent risk factor of 28-day mortality in patients with SA-AKI, and high GLR is associated with poor prognosis in patients with SA-AKI.
Male ; Female ; Humans ; Blood Glucose ; Glucose ; ROC Curve ; Prognosis ; Sepsis/diagnosis* ; Acute Kidney Injury ; Retrospective Studies ; Intensive Care Units

Blood stream infection (BSI),a blood-borne disease caused by microorganisms such as bacteria,fungi,and viruses,can lead to bacteremia,sepsis,and infectious shock,posing a serious threat to human life and health.Identifying the pathogen is central to the precise treatment of BSI.Traditional blood culture is the gold standard for pathogen identification,while it has limitations in clinical practice due to the long time consumption,production of false negative results,etc.Nanopore sequencing,as a new generation of sequencing technology,can rapidly detect pathogens,drug resistance genes,and virulence genes for the optimization of clinical treatment.This paper reviews the current status of nanopore sequencing technology in the diagnosis of BSI.
Humans ; Nanopore Sequencing ; Sepsis/diagnosis* ; Bacteremia/microbiology* ; Bacteria ; Blood Culture/methods*

Sepsis-associated coagulopathy refers to extensive coagulation activation accompanied by a high risk of bleeding and organ failure. In severe cases, it is manifested as disseminated intravascular coagulation (DIC) and leads to multiple organ dysfunction syndrome (MODS). Complement is an important component of the innate immune system and plays an important role in defending against invasion of pathogenic microorganisms. The early pathological process of sepsis involves excessive activation of the complement system, which forms an extremely complex network through interactions with the coagulation, kinin and fibrinolytic system, amplifying and exacerbating the systemic inflammatory response. In recent years, it has been suggested that uncontrolled complement activation system can exacerbate sepsis-associated coagulation dysfunction or even DIC, indicating the potential value of intervening in the complement system in the treatment of septic DIC, and related research progress is reviewed in this article in order to provide new ideas for the discovery of sepsis-associated coagulopathy therapy drugs.
Humans ; Blood Coagulation Disorders ; Complement Activation ; Blood Coagulation ; Multiple Organ Failure ; Sepsis

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

OBJECTIVES: To study the value of heparin-binding protein (HBP) in the diagnosis of severe infection in children. METHODS: This study was a prospective observational study. The medical data of children who were admitted to the pediatric intensive care unit due to infection from January 2019 to January 2020 were collected. According to the diagnostic criteria for severe sepsis and sepsis, the children were divided into a severe sepsis group with 49 children, a sepsis group with 82 children, and a non-severe infection group with 33 children. The three groups were compared in terms of related biomarkers such as plasma HBP, serum C-reactive protein, serum procalcitonin, and platelet count. The receiver operating characteristic (ROC) curve was plotted to investigate the value of plasma HBP level in the diagnosis of severe infection (including severe sepsis and sepsis). RESULTS: The severe sepsis and sepsis groups had a significantly higher plasma HBP level on admission than the non-severe infection group (P<0.05). Compared with the sepsis and non-severe groups, the severe sepsis group had significantly higher serum levels of C-reactive protein and procalcitonin and a significantly lower platelet count (P<0.05). Plasma HBP level had an area under the ROC curve of 0.590 in determining severe infection, with a sensitivity of 38.0% and a specificity of 82.4% (P<0.05). CONCLUSIONS There is an increase in plasma HBP level in children with severe infection, and plasma HBP level has a lower sensitivity but a higher specificity in the diagnosis of severe infection and can thus be used as one of the markers for the judgment of severe infection in children.
Antimicrobial Cationic Peptides ; Biomarkers ; Blood Proteins ; C-Reactive Protein/analysis* ; Child ; Humans ; Procalcitonin ; Prospective Studies ; ROC Curve ; Sepsis/diagnosis*

Objective: To investigate the clinical characteristics and risk factors of postoperative atrial fibrillation (POAF) in patients with critical burns. Methods: A retrospective case series study was conducted. From January 2017 to December 2021, two hundred and twenty-seven critically burned aldult patients who met the inclusion criteria were admitted to Guangzhou Red Cross Hospital of Jinan University, including 173 males and 54 females, aged 19-83 (43±14) years. The admission years of patients were collected, and the percentage of patients complicated with POAF in each year was calculated. According to whether the patients were complicated with POAF or not, they were divided into POAF group (n=17) and non-POAF group (n=210). Following data were collected in patients in POAF group, including operation methods, duration of operation, intraoperative blood loss before occurrence of POAF each time, occurrence time and times of POAF, postoperative body temperature, blood pressure, hemoglobin, blood glucose, blood lactate, sepsis, and electrolyte, and type, duration, and treatment of POAF. General data of patients in the two groups including age, gender, burn reason, total burn area, full-thickness burn area, acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) and sepsis-related organ failure evaluation (SOFA) scores on admission, combined with underlying diseases (hypertension, diabetes, and other types of arrhythmias), and sepsis were collected and analyzed. The mortality and factors influencing the prognosis of patients in the two groups such as mechanical ventilation time, operations times, and burn intensive care unit (BICU) length of stay were also collected and analyzed. Data were statistically analyzed with independent sample t test, Mann-Whitney U test, chi-square test or Kruskal-Wallis H test. The multivariate logistic regression analysis was performed on the general data with statistically significant differences between the two groups, and the independent risk factors influencing the onset of POAF in 227 patients with critical burns were screened. Results: From 2017 to 2021, the percentage of critically burned patients complicated with POAF increased year by year. In POAF group, eschar debridement in limbs was the main surgical procedure prior to POAF complication, with the operation time of (3.5±1.2) h and the intraoperative blood loss volume of (365±148) mL.The POAF occurred 25 times in total in patients of POAF group, mostly within one week after the injury and within 6 hours after the operation with most of these patients having POAF only once. When POAF happened, the patients were often complicated with hypothermia, anemia, hyperglycemia, high blood lactate, sepsis, and electrolyte disturbance, and few patients had complications of hypotension. The POAF lasted (5±3) h, with all being paroxysmal atrial fibrillation, and most of POAF patients were reverted to sinus rhythm after amiodarone intervention. Most patients in the two groups suffered from flame burn, and the gender, age, and SOFA score on admission of patients in the two groups were similar (P>0.05); the APACHEⅡ score on admission, total burn area, full-thickness burn area, incidence proportion of sepsis, combined with diabetes and hypertension and other types of arrhythmias of patients in POAF group were significantly higher or larger than those in non-POAF group (t=3.47, with χ² values of 7.44, 10.86, 12.63, 14.65, 6.49, and 7.52, respectively, P<0.05 or P<0.01). The full-thickness burn area, combined with other types of arrhythmias, and sepsis were the independent risk factors for POAF in 227 critically burned patients (with odds ratios of 4.45, 0.04, and 3.06, respectively, with 95% confidence intervals of 2.23-8.87, 0.01-0.22, and 1.77-5.30, respectively, P<0.01). Compared with those in non-POAF group, the mechanical ventilation time, BICU length of stay, number of operations, and mortality rate of patients in POAF group were significantly increased (Z=3.89, Z=2.57, t=3.41, χ²=3.72, P<0.05 or P<0.01). Conclusions: POAF is a common postoperative complication in critically burned patients, and the incidence is increasing year by year, which seriously affects the prognosis of patients. The full-thickness burn area together with other types of arrhythmias and sepsis are the high-risk factors for POAF complication in patients with critical burns.
Atrial Fibrillation/etiology* ; Blood Loss, Surgical ; Female ; Humans ; Hypertension ; Lactates ; Male ; Prognosis ; Retrospective Studies ; Risk Factors ; Sepsis

OBJECTIVE: To study the incidence rate of non-thyroidal illness syndrome (NTIS) in critically ill children with or without sepsis and the association of NTIS with interleukin-6 (IL-6) and interleukin-10 (IL-10). METHODS: A retrospective analysis was performed on the medical data of 97 children with sepsis (sepsis group) and 80 non-sepsis children with bacterial infection (non-sepsis group). The correlations of IL-6 and IL-10 with the thyroid function parameters triiodothyronine (T3), thyroxine (T4), and thyroid stimulating hormone (TSH) were analyzed. RESULTS: There were no significant differences in age and sex between the sepsis and non-sepsis groups (P>0.05). Compared with the non-sepsis group, the sepsis group had a significantly higher Sequential Organ Failure Assessment score, a significantly longer length of hospital stay, and a significantly higher rate of use of ventilator (P<0.05). As for inflammation markers, the sepsis group had significantly higher levels of C-reactive protein, procalcitonin, and IL-6 than the non-sepsis group (P<0.05). As for thyroid function parameters, the sepsis group had significantly lower levels of T3, T4, free T3, free T4, and TSH than the non-sepsis group (P<0.05). Compared with the non-sepsis group, the sepsis group had significantly higher incidence rates of NTIS, low T3 and T4, and low TSH (P<0.001). The correlation analysis revealed that IL-6 level was not correlated with T3, T4, and TSH levels in children with or without sepsis (P>0.05), but the pooled analysis of the two groups showed that IL-6 level was negatively correlated with T3 and T4 levels (P<0.001). CONCLUSIONS Children with sepsis have a higher incidence rate of NTIS than those without sepsis. The high level of IL-6 may be associated with the development of NTIS.
Child ; Critical Illness ; Euthyroid Sick Syndromes ; Humans ; Interleukin-10/blood* ; Interleukin-6/blood* ; Retrospective Studies ; Sepsis ; Thyrotropin ; Thyroxine