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INTRODUCTION: Sepsis-induced coagulopathy (SIC) is a severe complication of sepsis, characterized by poor prognosis and high mortality. However, the predictors of SIC in pediatric patients have yet to be identified. Our aim was to develop a user-friendly and efficient nomogram for predicting SIC in sepsis patients admitted to the pediatric intensive care unit (PICU). MATERIALS AND METHODS: We screened 948 sepsis patients admitted to the PICU in three hospitals located in Shandong, China. Least absolute shrinkage and selector operation (LASSO) regression was used in the training cohort for variable selection and regularization. The selected variables were utilized to construct a nomogram for predicting the risk of SIC among sepsis patients admitted to the PICU. RESULTS: Overall, SIC was observed in 324 (40.3 %) patients. The morbidity of SIC in sepsis patients is associated with age, fibrinogen, prothrombin time, C-reactive protein, lactate and the pediatric sequential organ failure assessment score. We developed a nomogram for the early identification of SIC in the training cohort (area under the curve [AUC] 0.869, 95 % confidence interval [CI] 0.830-0.907, sensitivity 75.7 %, specificity 84.8 %) and validation cohorts (validation cohort 1: AUC 0.854, 95 % CI 0.805-0.903, sensitivity 72.0 %, specificity 86.9 %; validation cohort 2: AUC 0.853, 95 % CI 0.796-0.910, sensitivity 70.1 %, specificity 87.8 %). The calibration plots of the nomogram demonstrated a high level of concordance in the SIC probabilities between the observed and predicted values. CONCLUSIONS: The novel nomogram showed excellent predictive performance for the morbidity of SIC among sepsis patients admitted to the PICU, potentially assisting healthcare professionals in early identification and intervention for SIC.

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Purpose: New-onset atrial fibrillation (NOAF) and sepsis-induced coagulopathy (SIC) are severe complications in septic patients. However, the relationship between NOAF and SIC score has not been clearly defined. This study aims to investigate the association between SIC score and NOAF, as well as their effect on mortality in sepsis. Patients and Methods: This study was a two-center retrospective analysis. Medical data were collected from patients diagnosed with sepsis. The patients were divided into NOAF and non-NOAF groups, and the SIC score was calculated for each group. Univariable and multivariable logistic regression analyses were performed to explore the relationship between the SIC score and NOAF, as well as their effects on mortality. The Kaplan-Meier curve was used to assess the survival rate. Results: A total of 2,280 septic patients were included, with 132 (5.7%) suffering from NOAF. Multivariable logistic regression analyses indicated that age, gender, the Acute Physiology and Chronic Health Evaluation II score (APACHE II), heart rate, renal failure, stroke, chronic obstructive pulmonary disease (COPD), and the SIC score were independent risk factors for NOAF in sepsis. Moreover, NOAF was associated with an increased risk of in-hospital mortality, 28-day mortality, and 90-day mortality. These results were consistent across subgroup analyses. Conclusion: The SIC score was an independent risk factor for NOAF in septic patients, and NOAF was an independent risk factor for predicting mortality.

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Background: This study aimed to investigate whether dexmedetomidine provides survival benefit in critically ill patients with sepsis-induced coagulopathy (SIC). Methods: Patients with sepsis-induced coagulopathy admitted to the ICU were identified from the Medical Information Marketplace for Intensive Care (MIMIC)-IV database. They were divided into two groups: patients who started dexmedetomidine within 48 h of ICU admission and lasted for more than 4 h and patients who did not receive dexmedetomidine as a control group. The primary outcome was 28-day hospital mortality, the secondary outcome was in-hospital mortality, and the extended outcomes included duration of mechanical ventilation and vasopressor use, ICU stay, and hospital stay. Propensity score matching (PSM) analysis was used to match patients who received dexmedetomidine with those who did not, and multivariable Cox models and logistics models were used to account for baseline differences and unmeasured confounders. An external validation was performed with the Critical care database comprising patients with infection at Zigong Fourth People's Hospital. Results: After PSM, 592 patients who received dexmedetomidine were matched with 592 patients who did not receive dexmedetomidine. In the primary and secondary endpoints, dexmedetomidine was associated with a lower risk of 28-day hospital mortality (19.3% vs. 14.2%, hazard ratio (HR) 0.71; P = 0.020) and in-hospital mortality (22.3% vs. 16.4%, odds ratio (OR) 0.68; P = 0.017) in patients with SIC. Regarding the extended outcome, dexmedetomidine was also associated with a longer length of hospital stay (median 12.54 days vs. 14.87 days, P = 0.002) and longer ICU stay (median 5.10 days vs. 6.22 days, P = 0.009). In addition, the duration of mechanical ventilation was significantly increased in the dexmedetomidine group (median 41.62 h vs. 48.00 h, p = 0.022), while the duration of vasopressor use was not significantly different (median 36.67 h vs. 39.25 h, p = 0.194). Within 48 h of ICU stay, receiving a dose of dexmedetomidine greater than 0.474 µg/kg/h and continuous dexmedetomidine administration for 24-48 h may be associated with 28-day hospitalization outcomes in patients with SIC. External cohort validation also found that the use of dexmedetomidine after admission to the ICU can reduce 28-day mortality in patients with SIC. Conclusion: Dexmedetomidine administration is associated with reduced 28-day hospital mortality and in-hospital mortality in critically ill patients with SIC, and these findings deserve further verification in randomized controlled trials.

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A new scoring system termed sepsis-induced coagulopathy (SIC) has been proposed to diagnose early sepsis-induced disseminated intravascular coagulation (DIC). This study performed DIC-related analyses in patients with confirmed SIC. Data from the intensive care unit (ICU) departments of the three hospitals between 2020 and 2022 were retrospectively analyzed. Finally, 125 patients with confirmed SIC were enrolled in the study. The diagnostic value of three widely used DIC criteria was assessed in patients with newly diagnosed SIC. In addition, the diagnostic and prognostic value of antithrombin (AT) was analyzed in patients with SIC. The Japanese Association for Acute Medicine DIC criteria (JAAM) exhibited the highest DIC diagnostic rate, while the mortality risk of SIC patients demonstrated a proportional increase with higher International Society on Thrombosis and Haemostasis (ISTH) and Chinese DIC scoring system (CDSS) scores. Low AT activity (<70%) in septic patients upon SIC diagnosis predicted a very high 28-day mortality rate, almost twice as high as in the normal AT activity (≥70%) group. A decreasing tendency in AT activity after clinical interventions was correlated with increased mortality. The area under the ROC curve (AU-ROC) of AT in DIC diagnosis was statistically significant when CDSS and ISTH were used as diagnostic criteria, but not JAAM. Each of the three DIC diagnostic criteria showed diagnostic and prognostic advantages for SIC. AT could be an independent prognostic indicator for SIC but demonstrated a relatively limited DIC diagnostic value. Adding AT to the SIC scoring system may increase its prognostic power.

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INTRODUCTION: The 2021 Surviving Sepsis Campaign guidelines recommend low-molecular-weight heparin for the prevention of venous thromboembolism in sepsis. However, observational studies suggest that anticoagulants as a whole may benefit severely ill sepsis patients with coagulopathy, but the optimal targets of unfractionated heparin remain unclear. This study investigated which sepsis patients could most benefit from unfractionated heparin. MATERIALS AND METHODS: In this retrospective observational study, we identified adult sepsis patients requiring urgent hospitalization from 2006 to 2019 using a large-scale Japanese medical database. Patients were divided into two groups: those receiving unfractionated heparin within 72 h of admission and those who did not. We compared in-hospital mortality, major bleeding complications, and thromboembolic events between these groups using a multivariate logistic regression model adjusted for patient and treatment variables. Additionally, we assessed the association between heparin administration and in-hospital mortality across various subgroups. RESULTS: Among 30,342 sepsis patients, 2520 received early heparin administration, and 27,822 did not. Multivariate logistic regression revealed a significant association between heparin and reduced in-hospital mortality (adjusted OR: 0.735, 95 % CI: 0.596-0.903) but no significant association with major bleeding and thromboembolic risk (adjusted OR: 1.137, 1.243; 95 % CI: 0.926-1.391, 0.853-1.788, respectively). Subgroup analyses suggested significant survival benefits associated with heparin only in the sepsis patients with moderate coagulopathy and sepsis-induced coagulopathy scores of 3 or 4 (adjusted OR: 0.452, 0.625; 95 % CI: 0.265-0.751, 0.410-0.940, respectively). CONCLUSIONS: Early heparin administration upon admission is associated with lower in-hospital mortality, especially in moderate sepsis-induced coagulopathy, and no significant increase in complications.

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Purpose: The aim of this study was to investigate the relationship between ARF and coagulopathy in patients with sepsis and to explore the prognostic value of these conditions. Patients and Methods: The data of 271 patients with sepsis-associated coagulopathy admitted from June 2021 to June 2022 were reviewed. The patients were divided into a survival group and a nonsurviving group according to patient prognosis. Independent sample t tests were utilized to compare laboratory parameters within 24 hours of admission, as well as the APACHE II and SOFA scores, between the two patient groups. According to the sepsis-associated coagulation dysfunction (SAC) grading criteria for grading, Spearman correlation analysis was used to study the relationship between blood creatinine and SAC grading and assignment scores, and receiver operating characteristic (ROC) curves and Cox's proportional risk regression model were used to explore the factors affecting the prognosis of SAC patients. Results: Spearman correlation analysis revealed strong associations between serum creatinine (Scr) concentration, SAC classification, and SAC score, with coefficients above 0.7. SAC classification outcomes varied significantly with severity: mild severity had a 77.6% survival rate versus 22.4% mortality; moderate severity had 21.5% survival versus 78.5% mortality; and severe cases had a 0.7% survival rate versus 99.3% mortality (P<0.01 for all). Multivariate analysis revealed significant predictors of outcome, including multiple organ dysfunction syndrome (MODS), with an OR of 2.070 (P=0.019); the SOFA score (OR=1.200, P<0.01); the international normalized ratio (INR) (OR=0.72, P=0.013); and the Scr level (OR=0.995, P<0.01). The areas under the ROC curves for the SOFA score, APACHE II score, and SAC classification were >0.8, all P < 0.05. Conclusion: In patients with sepsis, SAC grade 3 or a SAC score of 4 or higher is associated with poorer prognosis, and the interaction of acute kidney injury exacerbates the degree of SAC, consequently affecting prognosis.

To investigate the relationship between acute renal dysfunction and coagulation dysfunction in patients with sepsis and to explore the prognostic value of these conditions. We collected information and laboratory indicators from 271 patients, classified these two groups of patients according to the grading criteria for sepsis-associated coagulation dysfunction (SAC), and compared the differences between them. We utilized Spearman correlation analysis to investigate the relationship between blood creatinine and the severity of sepsis-associated coagulation dysfunction (SAC). Additionally, we employed a Cox proportional hazards regression model to study the factors influencing the prognosis of SAC patients. This study revealed a significant positive correlation between blood creatinine levels and SAC grade. Furthermore, the presence of MODS, INR, blood creatinine, and SOFA score can serve as independent predictive factors for mortality. We can infer that there is a significant correlation between coagulation function parameters and blood creatinine levels, which play a crucial role in the diagnosis and prognostic analysis of sepsis. In patients with sepsis, a higher grade of SAC or an SAC score of 4 or higher indicates a poorer prognosis. Additionally, the interaction with acute kidney injury exacerbates the severity of SAC, thereby impacting patient prognosis.

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BACKGROUND: The objective of this study was to explore the correlation between statin administration in the intensive care unit (ICU) setting and the in-hospital mortality risk of patients suffering from sepsis-induced coagulopathy (SIC). METHODS: Utilizing a retrospective cohort study design, this investigation collected data from the Medical Information Mart for Intensive Care (MIMIC)-IV spanning 2008 to 2019. The diagnosis of SIC was established based on a SIC score of 4 or above. Statin usage during the ICU period was extracted from the prescription records based on the keywords of statin medications. The primary endpoint analyzed was the in-hospital mortality within the ICU, characterized by any death occurring during the ICU admission. RESULTS: During the follow-up, which had a median duration of approximately 7.28 days, 18.19% of the 4,777 SIC patients died in the ICU. Statin was linked with a decrease in the risk of in-hospital mortality for SIC patients in the ICU [hazard ratio (HR): 0.73, 95% confidence interval (CI): 0.60-0.89, P = 0.002]. Relative to rosuvastatin, the use of atorvastatin (HR: 0.54, 95% CI: 0.34-0.85, P = 0.008) or simvastatin (HR: 0.55, 95% CI: 0.33-0.92, P = 0.024), as well as combinations of multiple statins (HR: 0.36, 95% CI: 0.15-0.86, P = 0.022), was associated with a reduction in ICU in-hospital mortality risk. Subgroup analysis also suggested that the use of atorvastatin, simvastatin, or a combination of statins had an advantage over rosuvastatin in reducing ICU in-hospital mortality in SIC patients older than 65 years of age or SIC patients with respiratory failure or cardiogenic shock (all P < 0.05). CONCLUSION: The present study supports the potential benefits of statin use in mortality in SIC patients during ICU stays. The study encourages clinicians to consider the benefits of statins and supports the ongoing exploration of statins for enhanced outcomes in critical care settings.

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BACKGROUND: Disseminated intravascular coagulation (DIC) is associated with increased mortality in sepsis patients. In this study, we aimed to assess the clinical ability of sepsis-induced coagulopathy (SIC) and sepsis-associated coagulopathy (SAC) criteria in identifying overt-DIC and pre-DIC status in sepsis patients. METHODS: Data from 419 sepsis patients were retrospectively collected from July 2018 to December 2022. The performances of the SIC and SAC were assessed to identify overt-DIC on days 1, 3, 7, or 14. The SIC status or SIC score on day 1, the SAC status or SAC score on day 1, and the sum of the SIC or SAC scores on days 1 and 3 were compared in terms of their ability to identify pre-DIC. The SIC or SAC status on day 1 was evaluated as a pre-DIC indicator for anticoagulant initiation. RESULTS: On day 1, the incidences of coagulopathy according to overt-DIC, SIC and SAC criteria were 11.7%, 22.0% and 31.5%, respectively. The specificity of SIC for identifying overt-DIC was significantly higher than that of the SAC criteria from day 1 to day 14 (P<0.05). On day 1, the SIC score with a cut-off value > 3 had a significantly higher sensitivity (72.00%) and area under the curve (AUC) (0.69) in identifying pre-DIC than did the SIC or SAC status (sensitivity: SIC status 44.00%, SAC status 52.00%; AUC: SIC status 0.62, SAC status 0.61). The sum of the SIC scores on days 1 and 3 had a higher AUC value for identifying the pre-DIC state than that of SAC (0.79 vs. 0.69, P<0.001). Favorable effects of anticoagulant therapy were observed in SIC (adjusted hazard ratio [HR]=0.216, 95% confidence interval [95% CI]: 0.060-0.783, P=0.018) and SAC (adjusted HR=0.146, 95% CI: 0.041-0.513, P=0.003). CONCLUSION: The SIC and SAC seem to be valuable for predicting overt-DIC. The sum of SIC scores on days 1 and 3 has the potential to help identify pre-DIC.

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Sepsis is a potentially fatal illness marked by organ failure and the two main causes of which are shock and disseminated intravascular coagulation. Multi-organ dysfunction in sepsis is mediated by the inflammatory cytokine storm, while sepsis induced coagulopathy is mediated and accelerated by activation of pro-coagulative mechanisms. Regardless of the severity of sepsis, disseminated intravascular coagulation is a potent predictor of mortality in septic patients. Additionally, oxidative stress in sepsis causes renal ischaemia and eventually acute kidney injury. The first and foremost goal is to initiate resuscitation immediately, with treatment mainly focussing on maintaining a balance of coagulants and anticoagulants. A simpler and more universal diagnostic criteria is likely to improve studies on the spectrum associated with sepsis.

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Early identification of biomarkers that can predict the onset of sepsis-induced coagulopathy (SIC) in septic patients is clinically important. This study endeavors to examine the diagnostic and prognostic utility of serum C1q in the context of SIC. Clinical data from 279 patients diagnosed with sepsis at the Departments of Intensive Care, Respiratory Intensive Care, and Infectious Diseases at the Renmin Hospital of Wuhan University were gathered spanning from January 2022 to January 2024. These patients were categorized into two groups: the SIC group comprising 108 cases and the non-SIC group consisting of 171 cases, based on the presence of SIC. Within the SIC group, patients were further subdivided into a survival group (43 cases) and non-survival group (65 cases). The concentration of serum C1q in the SIC group was significantly lower than that in the non-SIC group. Furthermore, A significant correlation was observed between serum C1q levels and both SIC score and coagulation indices. C1q demonstrated superior diagnostic and prognostic performance for SIC patients, as indicated by a higher area under the curve (AUC). Notably, when combined with CRP, PCT, and SOFA score, C1q displayed the most robust diagnostic efficacy for SIC. Moreover, the combination of C1q with the SOFA score heightened predictive value concerning the 28-day mortality of SIC patients.

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BACKGROUND: The performance of the sepsis-induced coagulopathy (SIC) and sequential organ failure assessment (SOFA) scores in predicting the prognoses of patients with sepsis has been validated. This study aimed to investigate the time course of SIC and SOFA scores and their association with outcomes in patients with sepsis. METHODS: This prospective study enrolled 209 patients with sepsis admitted to the emergency department. The SIC and SOFA scores of the patients were assessed on days 1, 2, and 4. Patients were categorized into survivor or non-survivor groups based on their 28-day survival. We conducted a generalized estimating equation analysis to evaluate the time course of SIC and SOFA scores and the corresponding differences between the two groups. The predictive value of SIC and SOFA scores at different time points for sepsis prognosis was evaluated. RESULTS: In the non-survivor group, SIC and SOFA scores gradually increased during the first 4 days (P < 0.05). In the survivor group, the SIC and SOFA scores on day 2 were significantly higher than those on day 1 (P < 0.05); however, they decreased on day 4, dropping below the levels observed on day 1 (P < 0.05). The non-survivors showed higher SIC scores on days 2 (P < 0.05) and 4 (P < 0.001) than the survivors, whereas no significant differences were found between the two groups on day 1 (P > 0.05). The performance of SIC scores on day 4 for predicting mortality was more accurate than that on day 2, with areas under the curve of 0.749 (95% confidence interval [CI]: 0.674-0.823), and 0.601 (95% CI: 0.524-0.679), respectively. The SIC scores demonstrated comparable predictive accuracy for 28-day mortality to the SOFA scores on days 2 and 4. Cox proportional hazards models indicated that SIC on day 4 (hazard ratio [HR] = 3.736; 95% CI: 2.025-6.891) was an independent risk factor for 28-day mortality. CONCLUSIONS: The time course of SIC and SOFA scores differed between surviving and non-surviving patients with sepsis, and persistent high SIC and SOFA scores can predict 28-day mortality.

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BACKGROUND: Sepsis is a common and critical condition encountered in clinical practice that can lead to multi-organ dysfunction. Sepsis-induced coagulopathy (SIC) significantly affects patient outcomes. However, the precise mechanisms remain unclear, making the identification of effective prognostic and therapeutic targets imperative. METHODS: The analysis of transcriptome data from the whole blood of sepsis patients, facilitated the identification of key genes implicated in coagulation. Then we developed a prognostic model and a nomogram to predict patient survival. Consensus clustering classified sepsis patients into three subgroups for comparative analysis of immune function and immune cell infiltration. Single-cell sequencing elucidated alterations in intercellular communication between platelets and immune cells in sepsis, as well as the role of the coagulation-related gene FYN. Real-time quantitative PCR determined the mRNA levels of critical coagulation genes in septic rats' blood. Finally, administration of a FYN agonist to septic rats was observed for its effects on coagulation functions and survival. RESULTS: This study identified four pivotal genes-CFD, FYN, ITGAM, and VSIG4-as significant predictors of survival in patients with sepsis. Among them, CFD, FYN, and ITGAM were underexpressed, while VSIG4 was upregulated in patients with sepsis. Moreover, a nomogram that incorporates the coagulation-related genes (CoRGs) risk score with clinical features of patients accurately predicted survival probabilities. Subgroup analysis of CoRGs expression delineated three molecular sepsis subtypes, each with distinct prognoses and immune profiles. Single-cell sequencing shed light on heightened communication between platelets and monocytes, T cells, and plasmacytoid dendritic cells, alongside reduced interactions with neutrophils in sepsis. The collagen signaling pathway was found to be essential in this dynamic. FYN may affect platelet function by modulating factors such as ELF1, PTCRA, and RASGRP2. The administration of the FYN agonist can effectively improve coagulation dysfunction and survival in septic rats. CONCLUSIONS: The research identifies CoRGs as crucial prognostic markers for sepsis, highlighting the FYN gene's central role in coagulation disorders associated with the condition and suggesting novel therapeutic intervention strategies.

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OBJECTIVE: Sepsis-induced coagulopathy (SIC) is extremely common in individuals with sepsis, significantly associated with poor outcomes. This study attempted to develop an interpretable and generalizable machine learning (ML) model for early predicting the risk of 28-day death in patients with SIC. METHODS: In this retrospective cohort study, we extracted SIC patients from the Medical Information Mart for Intensive Care III (MIMIC-III), MIMIC-IV, and eICU-CRD database according to Toshiaki Iba's scale. And the overlapping in the MIMIC-IV was excluded for this study. Afterward, only the MIMIC-III cohort was randomly divided into the training set, and the internal validation set according to the ratio of 7:3, while the MIMIC-IV and eICU-CRD databases were considered the external validation sets. The predictive factors for 28-day mortality of SIC patients were determined using recursive feature elimination combined with tenfold cross-validation (RFECV). Then, we constructed models using ML algorithms. Multiple metrics were used for evaluation of performance of the models, including the area under the receiver operating characteristic curve (AUROC), area under the precision recall curve (AUPRC), accuracy, sensitivity, specificity, negative predictive value, positive predictive value, recall, and F1 score. Finally, Shapley Additive Explanations (SHAP), Local Interpretable Model-Agnostic Explanations (LIME) were employed to provide a reasonable interpretation for the prediction results. RESULTS: A total of 3280, 2798, and 1668 SIC patients were screened from MIMIC-III, MIMIC-IV, and eICU-CRD databases, respectively. Seventeen features were selected to construct ML prediction models. XGBoost had the best performance in predicting the 28-day mortality of SIC patients, with AUC of 0.828, 0.913 and 0.923, the AUPRC of 0.807, 0.796 and 0.921, the accuracy of 0.785, 0.885 and 0.891, the F1 scores were 0.63, 0.69 and 0.70 in MIMIC-III (internal validation set), MIMIC-IV, and eICU-CRD databases. The importance ranking and SHAP analyses showed that initial SOFA score, red blood cell distribution width (RDW), and age were the top three critical features in the XGBoost model. CONCLUSIONS: We developed an optimal and explainable ML model to predict the risk of 28-day death of SIC patients 28-day death risk. Compared with conventional scoring systems, the XGBoost model performed better. The model established will have the potential to improve the level of clinical practice for SIC patients.

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The diagnosis and treatment of sepsis-induced coagulopathy（SIC）and disseminated intravascular coagulation（DIC）are very difficult in clinical practice.It also increases the mortality of sepsis in children.This article reviewed the latest pathophysiological mechanism of endothelial molecular in the occurrence and development of SIC and DIC in sepsis，so as to provide new theoretical basis for the clinical treatment of SIC and DIC in sepsis.

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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.

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Sepsis-induced coagulopathy (SIC) is a critical condition in sepsis patients, with varying outcomes depending on the type of infection. This study aims to analyze the prognosis of different infections in SIC cohort. A retrospective cohort study was conducted on 525 patients diagnosed with SIC in the intensive care unit from December 2013 to December 2022. These patients were divided into four groups: a non-pneumonia or bacteremia group, a severe pneumonia group, a bacteremia group, and a severe pneumonia concomitant with bacteremia group. The 28-day mortality was 18% (49/271) in the other infections group, 31% (33/106) in the lung infections group, 23% (29/126) in the blood infections group and 36% (8/36) in the lung and blood co-infections group, respectively. Pearson correlation analysis showed that procalcitonin (PCT) correlated strongly with all detected hemostatic markers (p < 0.001). The 28-day mortality rate in Lung infections group was significantly higher (p = 0.019), while Blood infections group had a higher incidence of disseminated intravascular coagulation (p = 0.011). By multivariable model analyses, longer duration of ventilation (p = 0.039) and severe pneumonia (p = 0.040) are risk factors associated with mortality. Different infections, including Lung and Blood infections, indicated different conditions in vivo. Longer duration of ventilation is associated with mortality, while Lung infections indicated higher 28-day mortality rate.

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Background: Sepsis is a life-threatening disease commonly complicated by activation of coagulation and immune pathways. Sepsis-induced coagulopathy (SIC) is associated with micro- and macrothrombosis, but its relation to other cardiovascular complications remains less clear. In this study we explored associations between SIC and the occurrence of atrial fibrillation (AF) in patients admitted to the Intensive Care Unit (ICU) in sinus rhythm. We also aimed to identify predictive factors for the development of AF in patients with and without SIC. Methods: Data were extracted from the publicly available AmsterdamUMCdb database. Patients with sepsis and documented sinus rhythm on admission to ICU were included. Patients were stratified into those who fulfilled the criteria for SIC and those who did not. Following univariate analysis, logistic regression models were developed to describe the association between routinely documented demographics and blood results and the development of at least one episode of AF. Machine learning methods (gradient boosting machines and random forest) were applied to define the predictive importance of factors contributing to the development of AF. Results: Age was the strongest predictor for the development of AF in patients with and without SIC. Routine coagulation tests activated Partial Thromboplastin Time (aPTT) and International Normalized Ratio (INR) and C-reactive protein (CRP) as a marker of inflammation were also associated with AF occurrence in SIC-positive and SIC-negative patients. Cardiorespiratory parameters (oxygen requirements and heart rate) showed predictive potential. Conclusion: Higher INR, elevated CRP, increased heart rate and more severe respiratory failure are risk factors for occurrence of AF in critical illness, suggesting an association between cardiac, respiratory and immune and coagulation pathways. However, age was the most dominant factor to predict the first episodes of AF in patients admitted in sinus rhythm with and without SIC.

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How to cite this article: Samavedam S, Sepsis Induced Coagulopathy: Bringing Science to the Bedside. Indian J Crit Care Med 2023;27(9): 611-612.

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In patients with sepsis-induced coagulopathy (SIC), the Chinese DIC scoring system (CDSS) of the Chinese Society of Thrombosis and Hemostasis score, the Japanese Association for Acute Medicine (JAAM) score, the International Society of Thrombosis and Hemostasis (ISTH), and the Can Rapid risk stratification of Unstable angina patients Suppress Adverse outcomes with Early implementation of the ACC/AHA Guidelines (CRUSADE) score were compared for their predictive significance (SIC). From August 2021 through August 2022, 92 SIC patients hospitalized in our hospital's Department of Critical Care Medicine served as study participants. Groups of patients were created with a bad prognosis (n = 35) and a favorable prognosis (n = 57) 14 days following admission. Electronic medical records were used to compile patient information such as demographics (gender, age, and body mass index), medical history (hypertension, diabetes, chronic obstructive pulmonary disease, and chronic kidney disease), treatment (mechanical ventilation, APACHE II score at admission), and outcomes (results). All patients' JAAM, CDSS, ISTH, and CRUSADE scores were recorded. The APACHE II scores of the group with a poor prognosis were noticeably (p < 0.05) higher upon admission than those of the group with a favorable prognosis. The poor prognosis group had higher JAAM, ISTH, CDSS, and CRUSADE scores than the good prognosis group (all p < 0.05). Partial coagulation indicators in fibrinogen, D-dimer, activated partial thromboplastin time, and prothrombin time were positively linked with JAAM, ISTH, CDSS, and CRUSADE (all p < 0.05). At admission, the JAAM, ISTH, CDSS, CRUSADE, and APACHE II scores were independently linked with SIC patients' prognosis (all p < 0.05) in a multivariate logistic regression analysis. According to receiver operating characteristic analysis, the area under the curve for predicting the prognosis of SIC patients using the JAAM, ISTH, CDSS, and CRUSADE4 scores was 0.896, 0.870, 0.852, and 0.737, respectively, with 95% CI being 0.840-0.952, 0.805-0.936, 0.783-0.922 and 0.629-0.845, respectively (all p < 0.05). The prognosis of SIC patients may be predicted in part by their JAAM, ISTH, CDSS, and CRUSADE4 scores, with the CDSS score being the most accurate. This research provides important recommendations for improving the care of patients with SIC.