OBJECTIVE: To investigate the predictive value of early lactate/albumin ratio (LAR) combined with quick sequential organ failure assessment (qSOFA) for the 28-day prognosis of patients with sepsis caused by emergency community-acquired pneumonia (CAP). METHODS: The clinical data of patients with sepsis caused by CAP admitted to the department of emergency of Beijing Haidian Hospital from June 2021 to August 2022 were retrospectively analyzed, including gender, age, comorbidities, lactic acid (Lac), serum albumin (Alb), LAR, procalcitonin (PCT) within 1 hour, and 28-day prognosis. Patients were divided into two groups based on 28-day prognosis, and risk factors affecting patients' prognosis were analyzed using univariate and multivariate Cox regression methods. Patients were divided into two groups according to the best cut-off value of LAR, and Kaplan-Meier survival curves were used to analyze the 28-day cumulative survival of patients in each group. Time-dependent receiver operator characteristic curve (ROC curve) were plotted to analyze the predictive value of sequential organ failure assessment (SOFA), acute physiology and chronic health evaluation II (APACHE II), and qSOFA+LAR score on the prognosis of patients with sepsis caused by CAP at 28 days. The area under the curve (AUC) was calculated and compared. RESULTS: A total of 116 patients with sepsis caused by CAP were included, of whom 80 survived at 28 days and 36 died, 28-day mortality of 31.0%. There were no statistically significant differences in age, gender, comorbidities, pH, platelet count, and fibrinogen between the survival and death groups, and there were significantly differences in blood urea nitrogen (BUN), white blood cell count (WBC), hemoglobin, Lac, Alb, PCT, D-dimer, LAR, as well as qSOFA score, SOFA score, and APACHE II score. Univariate Cox regression analyses showed that BUN, WBC, pH, Lac, Alb, PCT, LAR, qSOFA score, SOFA score, and APACHE II score were associated with mortality outcome. Multifactorial Cox regression analysis of the above variables showed that BUN, WBC, PCT, and APACHE II score were independent risk factors for 28-day death in the emergency department in patients with sepsis caused by CAP [hazard ratio (HR) were 1.081, 0.892, 1.034, and 1.135, respectively, all P < 0.05]. The best cut-off value of early LAR for predicting the 28-day prognosis of sepsis patients was 0.088, the Kaplan-Meier survival curve showed that the 28-day cumulative survival rate of sepsis patients in the LAR ≤ 0.088 group was significantly higher than that in the LAR > 0.088 group [82.9% (63/76) vs. 42.5% (17/40), Log-Rank test: χ² = 22.51, P < 0.001]. The qSOFA+LAR score was calculated based on the LAR cut-off value and qSOFA score, and ROC curve analysis showed that the AUCs of SOFA score, APACHE II score, and qSOFA+LAR score for predicting 28-day death of patients with sepsis caued by CAP were 0.741, 0.774, and 0.709, respectively, with the AUC of qSOFA+LAR score slightly lower than those of SOFA score and APACHE II score, but there were no significantly differences. When the best cut-off value of qSOFA+LAR score was 1, the sensitivity was 63.9% and the specificity was 80.0%. CONCLUSION The qSOFA+LAR score has predictive value for the 28-day prognosis of patients with sepsis caused by CAP in the emergency department, its predictive value is comparable to the SOFA score and the APACHE II score, and it is more convenient for early use in the emergency department.
Emergency Service, Hospital/statistics & numerical data* ; Sepsis/etiology* ; Prognosis ; Community-Acquired Pneumonia/mortality* ; Organ Dysfunction Scores ; Predictive Value of Tests ; Lactic Acid/blood* ; Serum Albumin, Human/analysis* ; Biomarkers/blood* ; Retrospective Studies ; Hospital Mortality ; Kaplan-Meier Estimate ; APACHE ; Procalcitonin/blood* ; ROC Curve ; Area Under Curve ; Humans

OBJECTIVE: To evaluate the risks and benefits of different resuscitation fluids in patients with early sepsis and septic shock by observing and comparing clinical indicators, clinical outcomes, and the concentration changes of glycocalyx biomarkers, and to determine how to appropriately select suitable resuscitation fluids for sepsis patients to aid fluid therapy. METHODS: A single center, prospective, randomized controlled trial was conducted. Patients with early sepsis and septic shock who have required fluid resuscitation after capacity status assessment admitted to the department of critical care medicine of Fourth Hospital of Hebei Medical University from April to October 2023 were enrolled. Patients were randomly assigned to either the experimental group (balanced crystalloid solution+albumin) or the control group (balanced crystalloid solution) by a random number table method. Clinical data of both groups of patients before and after resuscitation at 3, 8, and 24 hours were monitored, and blood samples were collected, enzyme-linked immunosorbent assay (ELISA) was used to measure the concentration of plasma glycocalyx biomarker syndecan-1. The 28-day and 90-day survival rates and complications were also assessed. RESULTS: A total of 66 patients were enrolled, including 44 in the experimental group and 22 in the control group. The baseline data of two groups were balanced and comparable. There was no statistically significant difference in the plasma concentration of syndecan-1 between the experimental group and the control group before and after resuscitation, and both showed a trend of first increasing and then decreasing. However, the plasma syndecan-1 level in the control group at 8 hours and 24 hours after resuscitation were significantly higher than the baseline level before resuscitation [ng/L: 19.02 (14.41, 27.80), 18.95 (12.40, 22.50) vs. 14.67 (11.57, 21.14), both P < 0.05], while there was no statistically significant difference at any time point within the experimental group. The correlation analysis between plasma syndecan-1 level and lactic acid, albumin, and sequential organ failure assessment (SOFA) in all patients showed that a positive correlation between syndecan-1 level and SOFA score before resuscitation (r = 0.247, P = 0.046), and a negative correlation between syndecan-1 level and albumin level at 24 hours after resuscitation (r = -0.308, P = 0.012). There were no statistically significant differences in 28-day and 90-day mortality, length of hospital stay, length of intensive care unit (ICU) stay, duration of mechanical ventilation, blood purification time, number of organ injuries, and complications between the two groups. However, the baseline albumin level in the experimental group was significantly lower than that in the control group (g/L: 28.7±4.5 vs. 31.6±4.2, P < 0.05). Analysis of clinical treatment data showed that compared with the control group, the experimental group had lower absolute lactate level at 8 hours and 24 hours after resuscitation [mmol/L: 8 hours was 1.30 (1.00, 1.88) vs. 1.60 (1.30, 3.05), 24 hours was 1.15 (0.80, 1.78) vs. 1.55 (1.08, 2.05), both P < 0.05], and higher lactate clearance rate [8 hours was 45% (27%, 56%) vs. 20% (-4%, 46%), 24 hours was 55% (34%, 70%) vs. 34% (-14%, 59%), both P < 0.05]. However, there were no statistically significant differences in the amount of fluid resuscitation, use of vasoactive drugs, and oxygenation index between the two groups during the resuscitation process. Multivariate Logistic regression analysis showed that body mass index (BMI) was independently correlated with 90-day mortality [odds ratio (OR) = 1.991, 95% confidence interval (95%CI) was 1.023-3.387, P = 0.043]. CONCLUSIONS There are no significant difference in plasma syndecan-1 level during fluid resuscitation of early sepsis and septic shock patients using balanced crystalloid fluid and balanced crystalloid fluid combined with albumin resuscitation, and there are no statistically significant differences in the impact on 28-day and 90-day prognosis, length of hospital stay, complications, and other aspects of the patients. However, compared to balanced crystalloid fluid, the combination of balanced crystalloid fluid and albumin for fluid resuscitation in sepsis patients has lower lactate level and better lactate clearance effect, but further validation is still needed through large-scale randomized controlled trials.
Humans ; Clinical Relevance ; Crystalloid Solutions/administration & dosage* ; Fluid Therapy/methods* ; Glycocalyx/metabolism* ; Isotonic Solutions/administration & dosage* ; Prospective Studies ; Resuscitation/methods* ; Sepsis/therapy* ; Shock, Septic/therapy* ; Syndecan-1/blood*

OBJECTIVE: To investigate the predictive value of inflammatory indicator and serum cystatin C (Cys C) for the prognosis of patients with sepsis-associated acute kidney injury (SA-AKI). METHODS: A prospective observational study was conducted. Patients with SA-AKI admitted to the intensive care unit (ICU) of the General Hospital of Ningxia Medical University from January 2022 to December 2023 were selected as the study subjects. General patient data, sequential organ failure assessment (SOFA), acute physiology and chronic health evaluation II (APACHE II), inflammatory indicator, and serum Cys C levels were collected. The 28-day survival status of the patients was observed. A multivariate Logistic regression model was used to analyze the risk factors affecting the poor prognosis of SA-AKI patients. Receiver operator characteristic curve (ROC curve) was plotted to evaluate the predictive efficacy of each risk factor for the prognosis of SA-AKI patients. RESULTS: A total of 111 SA-AKI patients were included, with 65 patients (58.6%) in the survival group and 46 patients (41.4%) in the death group. The SOFA score, APACHE II score, interleukin-6 (IL-6), procalcitonin (PCT), hypersensitive C-reactive protein (hs-CRP), and serum Cys C levels in the death group were significantly higher than those in the survival group [SOFA score: 15.00 (14.00, 17.25) vs. 14.00 (11.00, 16.00), APACHE II score: 26.00 (23.75, 28.00) vs. 23.00 (18.50, 28.00), IL-6 (ng/L): 3 731.00±1 573.61 vs. 2 087.93±1 702.88, PCT (μg/L): 78.19±30.35 vs. 43.56±35.37, hs-CRP (mg/L): 266.50 (183.75, 326.75) vs. 210.00 (188.00, 273.00), serum Cys C (mg/L): 2.01±0.61 vs. 1.62±0.50, all P < 0.05]. Multivariate Logistic regression analysis showed that SOFA score [odds ratio (OR) = 1.273, 95% confidence interval (95%CI) was 1.012-1.600, P = 0.039], IL-6 (OR = 1.000, 95%CI was 1.000-1.001, P = 0.043), PCT (OR = 1.018, 95%CI was 1.002-1.035, P = 0.030), and Cys C (OR = 4.139, 95%CI was 1.727-9.919, P = 0.001) were independent risk factors affecting the 28-day prognosis of SA-AKI patients. ROC curve analysis showed that the area under the curve (AUC) of SOFA score, IL-6, PCT, and Cys C in predicting the 28-day prognosis of SA-AKI patients were 0.682 (95%CI was 0.582-0.782, P = 0.001), 0.753 (95%CI was 0.662-0.843, P < 0.001), 0.765 (95%CI was 0.677-0.854, P < 0.001), and 0.690 (95%CI was 0.583-0.798, P = 0.001), respectively. The combined predictive value of these four indicators for the prognosis of SA-AKI patients were superior to that of any single indicator, with an AUC of 0.847 (95%CI was 0.778-0.916, P < 0.001), a sensitivity of 95.7%, and a specificity of 56.9%. CONCLUSION The combination of SOFA score, IL-6, PCT, and Cys C provides a reliable predictive value for the prognosis of SA-AKI patients.
Humans ; Acute Kidney Injury/mortality* ; APACHE ; C-Reactive Protein ; Cystatin C/blood* ; Interleukin-6/blood* ; Logistic Models ; Predictive Value of Tests ; Procalcitonin/blood* ; Prognosis ; Prospective Studies ; Risk Factors ; ROC Curve ; Sepsis/mortality*

OBJECTIVE: To investigate the relationship between the trajectories of serum potassium changes after intensive care unit (ICU) admission and 30-day death risk in patients with sepsis. METHODS: A retrospective cohort study was conducted, including adult patients with sepsis admitted to the comprehensive ICU, medical intensive care unit (MICU) and emergency intensive care unit (EICU) of Guizhou Medical University Affiliated Hospital from January 2020 to January 2024. The patients who had a minimum of 5 days' hospitalisation in the ICU and who had at least 7 consecutive days of the serum potassium measurements were classified into five trajectories groups according to group-based trajectory modelling (GBTM) using SAS software. This was based on tendency changes in serum potassium levels in patients after admission to the ICU, which was categorized as follows: slowly increased from a low level group, slowly increased from a medium level of normal range group, slowly decreased from a medium level of normal range group, slowly decreased from a high level group, and slowly increased from a high level of normal range group. The patient's gender, age, medical history, and white blood cell count (WBC), platelet count (PLT), procalcitonin (PCT), activated partial thromboplastin time (APTT), prothrombin time (PT), blood sodium, and serum creatinine (SCr) at the time of admission to the ICU were collected. At the same time, the patient's worst sequential organ failure assessment (SOFA) score within 24 hours of admission to the ICU, length of ICU stay, and 30-day outcome were record. The differences in clinical data among different groups of patients were compared. The 30-day cumulative survival rates of the various serum potassium trajectories were plotted using Kaplan-Meier survival curves, the groups were then compared using the Log-Rank test. A multivariate Cox proportional risk regression analysis was developed to evaluate the independent effect of serum potassium trajectory on 30-day death risk. RESULTS: Finally, 342 ICU sepsis patients were enrolled, of which 42 patients in the slowly increased from a low level group (12.28%), 127 patients in the slowly increased from a medium level of normal range group (37.14%), 118 patients in the slowly decreased from a medium level of normal range group (34.50%), 28 patients in the slowly decreased from a high level group (8.19%), and 27 patients in the slowly increased from a high level of normal range group (7.89%). Except for age and APTT differences, there were no statistically significant differences in other clinical characteristics among the patients in the different serum potassium trajectories groups. Kaplan-Meier survival curves showed that there was statistically significant difference in the 30-day cumulative survival rate among the patients in the different serum potassium trajectories groups (Log-Rank test: χ² = 14.696, P = 0.005), with the lowest in the slowly increased from a high level of normal range group (39.3%). Multivariate Cox proportional risk regression analysis showed that the patients with the serum potassium trajectory of slowly increased from a high level of normal range had the highest 30-day death risk [hazard ratio (HR) = 2.341, 95% confidence interval (95%CI) was 1.049-5.226, P = 0.038]. This association persisted after adjustment for variables such as gender, age, medical history, SOFA score, WBC, PLT, PCT, APTT, PT, blood sodium, and SCr (HR = 3.058, 95%CI was 1.249-7.488, P = 0.014). CONCLUSION Compared with the patients whose serum potassium fluctuated within the normal range, the sepsis patients in the ICU with a serum potassium trajectory that slowly increased from a high level of normal range had a significantly higher 30-day death risk.
Humans ; Retrospective Studies ; Intensive Care Units ; Sepsis/blood* ; Potassium/blood* ; Male ; Female ; Middle Aged ; Aged ; Risk Factors ; Hospital Mortality ; Prognosis

OBJECTIVE: To investigate the application value of pediatric sepsis-induced coagulation (pSIC) score and mean platelet volume/platelet count (MPV/PLT) ratio in the diagnosis of pediatric sepsis and the determination of critical pediatric sepsis. METHODS: A retrospective cohort study was conducted, selecting 112 children with sepsis (sepsis group) admitted to pediatric intensive care unit (PICU) of Liaocheng Second People's Hospital from January 2020 to December 2023 as the study objects, and 50 children without sepsis admitted to the pediatric surgery department of our hospital during the same period for elective surgery due to inguinal hernia as the control (control group). The children with sepsis were divided into two groups according to the pediatric critical case score (PCIS). The children with PCIS score of ≤ 80 were classified as critically ill group, and those with PCIS score of > 80 was classified as non-critically ill group. pSIC score, coagulation indicators [prothrombin time (PT), international normalized ratio (INR), activated partial thromboplastin time (APTT), and fibrinogen (FIB)], and platelet related indicators (PLT, MPV, and MPV/PLT ratio) were collected. Pearson correlation method was used to analyze the correlation between pSIC score and MPV/PLT ratio as well as their correlation with coagulation indicators. Multivariate Logistic regression analysis was used to screen the independent risk factors for pediatric sepsis and critical pediatric sepsis. Receiver operator characteristic curve (ROC curve) was drawn to evaluate the application value of the above independent risk factors on the diagnosis of pediatric sepsis and the determination of critical pediatric sepsis. RESULTS: 112 children with sepsis and 50 children without sepsis were enrolled in the final analysis. pSIC score, PT, INR, APTT, FIB, MPV, and MPV/PLT ratio in the sepsis group were significantly higher than those in the control group [pSIC score: 0.93±0.10 vs. 0.06±0.03, PT (s): 14.76±0.38 vs. 12.23±0.15, INR: 1.26±0.03 vs. 1.06±0.01, APTT (s): 40.08±0.94 vs. 32.47±0.54, FIB (g/L): 3.51±0.11 vs. 2.31±0.06, MPV (fL): 8.86±0.14 vs. 7.62±0.11, MPV/PLT ratio: 0.037±0.003 vs. 0.022±0.001, all P < 0.01], and PLT was slightly lower than that in the control group (×10⁹/L: 306.00±11.01 vs. 345.90±10.57, P > 0.05). Among 112 children with sepsis, 46 were critically ill and 66 were non-critically ill. pSIC score, PT, INR, APTT, MPV, and MPV/PLT ratio in the critically ill group were significantly higher than those in the non-critically ill group [pSIC score: 1.74±0.17 vs. 0.36±0.07, PT (s): 16.55±0.80 vs. 13.52±0.23, INR: 1.39±0.07 vs. 1.17±0.02, APTT (s): 43.83±1.72 vs. 37.77±0.95, MPV (fL): 9.31±0.23 vs. 8.55±0.16, MPV/PLT ratio: 0.051±0.006 vs. 0.027±0.001, all P < 0.05], PLT was significantly lower than that in the non-critically ill group (×10⁹/L: 260.50±18.89 vs. 337.70±11.90, P < 0.01), and FIB was slightly lower than that in the non-critically ill group (g/L: 3.28±0.19 vs. 3.67±0.14, P > 0.05). Correlation analysis showed that pSIC score was significantly positively correlated with MPV/PLT ratio and coagulation indicators including PT, APTT and INR in pediatric sepsis (r value was 0.583, 0.571, 0.296 and 0.518, respectively, all P < 0.01), and MPV/PLT ratio was also significantly positively correlated with PT, APTT and INR (r value was 0.300, 0.203 and 0.307, respectively, all P < 0.05). Multivariate Logistic regression analysis showed that pSIC score and MPV/PLT ratio were independent risk factors for pediatric sepsis and critical pediatric sepsis [pediatric sepsis: odds ratio (OR) and 95% confidence interval (95%CI) for pSIC score was 14.117 (4.190-47.555), and the OR value and 95%CI for MPV/PLT ratio was 1.128 (1.059-1.202), both P < 0.01; critical pediatric sepsis: the OR value and 95%CI for pSIC score was 8.142 (3.672-18.050), and the OR value and 95%CI for MPV/PLT ratio was 1.068 (1.028-1.109), all P < 0.01]. ROC curve analysis showed that pSIC score and MPV/PLT ratio had certain application value in the diagnosis of pediatric sepsis [area under the ROC curve (AUC) and 95%CI was 0.754 (0.700-0.808) and 0.720 (0.643-0.798), respectively] and the determination of critical pediatric sepsis [AUC and 95%CI was 0.849 (0.778-0.919) and 0.731 (0.632-0.830)], and the combined AUC of the two indictors was 0.815 (95%CI was 0.751-0.879) and 0.872 (95%CI was 0.806-0.938), respectively. CONCLUSIONS pSIC score and MPV/PLT ratio have potential application value in the diagnosis of pediatric sepsis and the determination of critical pediatric sepsis, and the combined application of both is more valuable.
Humans ; Sepsis/complications* ; Platelet Count ; Mean Platelet Volume ; Retrospective Studies ; Child ; Blood Coagulation Disorders/diagnosis* ; Intensive Care Units, Pediatric ; Male ; Female ; Partial Thromboplastin Time ; Child, Preschool ; Blood Coagulation ; International Normalized Ratio ; Infant

OBJECTIVE: To explore the relationship between serum sodium level and the risk of delirium in patients with sepsis. METHODS: Based on the Medical Information Mart for Intensive Care-IV (MIMIC-IV), adult patients with sepsis in the intensive care unit (ICU) were enrolled. The serum sodium level prior to the onset of sepsis during hospitalization was used as the exposure variable. Delirium was assessed using the ICU-confusion assessment method (ICU-CAM) as the primary outcome. Patients were divided into delirium and non-delirium groups based on the occurrence of delirium. The relationship between serum sodium level and delirium risk was described using restricted cubic spline (RCS) to determine the optimal reference range for serum sodium. Logistic regression analysis was used to evaluate the effect of blood sodium levels on delirium in sepsis patients. Subgroup analyses were performed to explore potential interactions and further validate the robustness of the results. Receiver operator characteristic curve (ROC curve) analysis was performed to assess the predictive value of serum sodium level for delirium occurrence in patients with sepsis. RESULTS: A total of 13 889 patients with sepsis were included, of which 4 831 experienced delirium. The maximum and mean serum sodium values were significantly higher in the delirium group compared to the non-delirium group, while there were no statistically significant differences in terms of initial and minimum serum sodium values between the two groups. Compared with the non-delirium group, the delirium group had a higher mortality and longer hospital stay. The RCS curve showed that a "U"-shaped relationship between serum sodium level and delirium risk in patients with sepsis, with the optimal reference range for average serum sodium was 135.3-141.3 mmol/L. Group based on this reference range, compared to the group with 135.3 mmol/L ≤ serum sodium ≤ 141.3 mmol/L, the delirium incidence and mortality were significantly higher, and the hospital stay was longer in the groups with serum sodium < 135.3 mmol/L and serum sodium ≥ 141.3 mmol/L [delirium incidence: 36.92%, 40.88% vs. 31.22%; 28-day mortality: 23.08%, 20.15% vs. 13.39%; 90-day mortality: 30.75%, 24.81% vs. 18.26%; in-hospital mortality: 19.53%, 17.48% vs. 11.61%; ICU mortality: 14.35%, 14.05% vs. 9.00%; hospital length of stay (days): 10.1 (6.1, 17.7), 9.4 (5.4, 17.0) vs. 8.9 (5.5, 15.4), length of ICU stay (days): 3.7 (2.1, 7.1), 4.0 (2.1, 8.9) vs. 3.2 (1.9, 6.8); all P < 0.01]. Logistic regression analysis showed that, in the initial model and each factor-adjusted models, compared to the reference group with 135.3 mmol/L ≤ serum sodium < 141.3 mmol/L, serum sodium < 135.3 mmol/L increased the risk of delirium in septic patients by 21% to 29% [odds ratio (OR) was 1.21-1.29, all P < 0.01], while serum sodium ≥ 141.3 mmol/L increased the delirium risk by 28%-52% (OR was 1.28-1.52, all P < 0.01). Subgroup analyses based on gender, age, race, diuretic use, and sequential organ failure assessment (SOFA) score revealed there was no significant interactions between subgroup variables and serum sodium, and the results supported that both serum sodium < 135.3 mmol/L and serum sodium ≥ 141.3 mmol/L were risk factors for delirium in septic patients. ROC curve analysis showed that the area under the curve (AUC) for predicting delirium in septic patients based on serum sodium was 0.614, with a cut-off value of 139.5 mmol/L yielding a specificity of 67.5% and sensitivity of 50.9%. CONCLUSIONS The risk of delirium in patients with sepsis is associated with serum sodium level in a "U"-shaped manner. Both high and low serum sodium levels are associated with increased risk of delirium, higher all-cause mortality, and prolonged hospital stays in patients with sepsis. Abnormal serum sodium levels may have predictive value for sepsis-associated delirium and could serve as an early biomarker for identifying delirium in septic patients, although further validation is needed.
Humans ; Delirium/etiology* ; Sepsis/complications* ; Sodium/blood* ; Intensive Care Units ; Risk Factors ; Male ; Middle Aged ; Female ; Aged ; Logistic Models ; Adult

OBJECTIVE: To explore the protective effect of glycosaminoglycans (GAG) on vascular endothelium in patients with sepsis. METHODS: A prospective study was conducted on adult patients with sepsis admitted to the intensive care unit (ICU) of Hangzhou Normal University Affiliated Hospital from December 2022 to December 2023. Patients were randomly divided into conventional treatment group and GAG intervention group. Both groups were treated according to the 2021 Surviving Sepsis Campaign Guidelines. The GAG intervention group was additionally treated with GAG (2 mL of sulodexide intramuscular injection once daily for 7 days) on the basis of conventional treatment. Venous blood was collected from patients at 0, 6, 24, 48, 72 hours and 7 days after enrollment to detect serum vascular endothelial glycocalyx [heparan sulfate (HS) and syndecan-1 (SDC-1)], inflammatory markers [C-reactive protein (CRP), procalcitonin (PCT), tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6)], and coagulation markers [prothrombin time (PT), activated partial thromboplastin time (APTT), antithrombin-III (AT-III), fibrinogen (Fib), D-Dimer], and to perform acute physiology and chronic health evaluation II (APACHE II), sequential organ failure assessment (SOFA), and International Society on Thrombosis and Haemostasis (ISTH) scores. The prognosis of patients (length of hospital stay, ICU and 28-day mortality) was observed. The receiver operator characteristic curve (ROC curve) was drawn to evaluate the value of HS in predicting the prognosis of sepsis patients, and the correlation between endothelial glycocalyx degradation products and various clinical indicators was analyzed. RESULTS: A total of 50 adult patients with sepsis meeting the inclusion criteria were enrolled, with 25 in the conventional treatment group and 25 in the GAG intervention group. In terms of degradation products of endothelial glycocalyx, compared to baseline, both groups showed an increasing trend in HS and SDC-1 levels post-treatment. However, the GAG intervention group exhibited significantly lower HS levels at 72 hours and 7 days, as well as lower SDC-1 levels at 6, 24, 48, 72 hours and 7 days compared to the conventional group. Among the surviving patients, the HS levels at 72 hours and SDC-1 levels at 6 hours of treatment in the GAG intervention group were significantly reduced compared to the conventional treatment group. In terms of severity score, compared with before treatment, the GAG intervention group showed a significant decrease in APACHE II, SOFA, and ISTH scores after 7 days of treatment. The SOFA scores of the GAG intervention group after 48 hours and 7 days of treatment were significantly lower than those of the conventional treatment group. In terms of inflammatory indicators, compared with before treatment, the GAG intervention group showed a significant decrease in IL-6 levels after 48 hours of treatment. With the prolongation of treatment time, the CRP levels of both groups of patients showed a significant downward trend, and at 7 days of treatment, the CRP level in the GAG intervention group was significantly lower than that in the conventional treatment group. In terms of coagulation function, with prolonged treatment time, PT and APTT of both groups of patients showed an increasing trend, while Fib showed a decreasing trend. The GAG intervention group showed a significant prolongation of PT after 72 hours of treatment compared to the conventional treatment group. In terms of prognosis, there were no statistically significant differences in ICU and 28-day mortality rates between the two groups. The GAG intervention group had significantly shorter hospital stays than the conventional treatment group. ROC curve analysis showed that HS, CRP, APTT, IL-6, APACHE II, SOFA, and ISTH scores were predictive factors for the prognosis of sepsis patients (all P < 0.05). Compared to a single indicator, the combined detection of multiple indicators has a higher value in predicting the prognosis of sepsis patients [area under the curve (AUC) = 0.911, 95% confidence interval (95%CI) was 0.817-1.000], with a sensitivity of 76.9% and a specificity of 91.9%. Correlation analysis showed that HS was significantly negatively correlated with Fib, PT, TNF-α, IL-6, and PCT (r values were -0.338, -0.396, -0.288, -0.319, and -0.340, all P < 0.05), while HS was significantly positively correlated with D-Dimer and CRP (r values were 0.347 and 0.354, both P < 0.05); SDC-1 was significantly negatively correlated with Fib, PT, APTT, TNF-α, IL-6, and ISTH scores (r values were -0.314, -0.294, -0.408, -0.353, -0.289, -0.287, all P < 0.05). CONCLUSIONS Early glycocalyx degradation can occur in sepsis patients. GAG have a protective effect on,the vascular endothelium, reducing the severity of sepsis and providing organ protection. HS, CRP, APTT, IL-6, APACHE II score, SOFA score, and ISTH score are independent predictive factors for the prognosis of sepsis patients. The combination of HS and the above indicators can significantly improve the accuracy of prediction.
Humans ; Sepsis/blood* ; Glycocalyx/drug effects* ; Glycosaminoglycans/pharmacology* ; Prospective Studies ; Endothelium, Vascular/metabolism* ; Syndecan-1/blood* ; Male ; Female ; C-Reactive Protein/metabolism* ; Interleukin-6/blood* ; Heparitin Sulfate/blood* ; Middle Aged ; Adult ; Tumor Necrosis Factor-alpha/blood* ; Procalcitonin/blood*

Sepsis constitutes one of the principal causes of death globally, and the mortality rate of patients complicated with sepsis-induced cardiomyopathy (SIC) surges by over 50%. Early identification of patients with sepsis, particularly SIC, and implementing clinical intervention are vital measures to reduce the mortality. In recent years, biomarkers for the diagnosis and prognosis of SIC have emerged rapidly. Among classical myocardial injury biomarkers, cardiac troponin (cTn), brain natriuretic peptide (BNP), and soluble growth stimulation gene 2 protein (sST2) have predictive value for the prognosis of SIC. Meanwhile, heart-type fatty acid-binding protein (h-FABP) possess relatively high value in diagnosis. Moreover, plasma metabolites, microRNA (miRNA), as well as recently identified markers related to sepsis or cardiovascular diseases also demonstrate outstanding predictive value in both the diagnosis and prognosis of SIC. For instance, exosomal miR-150-5p, blood miR-155, blood miR-378a-3p, blood miR-21-3p, blood miR-233, blood miR-23b, blood miR-135, lipocalin (LCN), heme oxygenase-1 (HO-1), fibroblast growth factor-21 (FGF-21), and growth differentiation factor-15 (GDF-15) show varying degrees of predictive value when it comes to diagnosing SIC. S100A8/A9 protein, triglyceride-glucose (TyG) index, angiotensinogen II (Ang II) and lactoferrin are correlated with the prognosis of SIC. Meanwhile, it has been discovered that the combination of multiple biomarkers outperforms a single biomarker, and certain combinations exhibit superior diagnostic performance. However, most of these studies use single-center clinical data, which has certain limitations and still calls for more high-quality evidence support. Therefore, identifying biomarker combinations that are supported by high-quality evidence, have bedside application potential, and possess high sensitivity and specificity is of crucial importance for the prevention, diagnosis, and treatment of SIC. This review is carried out on the current articles that report biomarkers with predictive value and the diagnosis and prediction of multiple biomarkers in combination, in the hope of continuously optimizing the diagnostic strategy for the specific identification of early SIC.
Humans ; Biomarkers/blood* ; Cardiomyopathies/etiology* ; Sepsis/diagnosis* ; MicroRNAs/blood* ; Prognosis ; Fatty Acid-Binding Proteins/blood*

OBJECTIVE: To explore the predictive efficacy of the early lactic acid/albumin ratio (LAR) for the occurrence of acute skin failure (ASF) in patients with sepsis. METHODS: A retrospective study was conducted to collect the clinical data of 115 patients with sepsis admitted to the intensive care unit (ICU) of the First Affiliated Hospital of Dalian Medical University from June 2022 to March 2024. The patients' gender, age, length of ICU stay, past medical history, and severity scores, use of mechanical ventilation or vasoactive drugs, albumin (Alb), lactic acid (Lac), mean arterial pressure (MAP), and blood gas analysis indicators within 24 hours of ICU admission were collected, and LAR was calculated. The patients were divided into two groups based on whether they developed ASF, and the clinical data between the two groups were compared. Multivariate Logistic regression analysis was used to screen the risk factors for the occurrence of ASF in patients with sepsis. The receiver operator characteristic curve (ROC curve) was drawn to analyze the predictive value of LAR for the occurrence of ASF in patients with sepsis. RESULTS: A total of 115 patients with sepsis were enrolled in the final analysis, among whom 35 developed ASF and 80 did not. The incidence of ASF was 30.43%. Univariate analysis showed that compared with the non-ASF group, the ASF group had higher acute physiology and chronic health evaluation II (APACHE II) score, proportion of using vasoactive drugs, Lac, and LAR as well as lower Alb and MAP, with statistically significant differences. Multivariate Logistic regression analysis was conducted on the factors with statistical significance in the univariate analysis, and the results showed that Alb [odds ratio (OR) = 0.639, 95% confidence interval (95%CI) was 0.474-0.862, P = 0.003], Lac (OR = 17.228, 95%CI was 1.517-195.641, P = 0.022), MAP (OR = 0.905, 95%CI was 0.855-0.959, P = 0.001), and LAR (OR < 0.001, 95%CI was < 0.001-0.005, P = 0.033) were independent risk factors for the occurrence of ASF in patients with sepsis. ROC curve analysis showed that the area under the ROC curve (AUC) of LAR for predicting the occurrence of ASF in patients with sepsis was 0.867 (95%CI was 0.792-0.943), which was superior to Alb, Lac, and MAP [AUC (95%CI) was 0.739 (0.648-0.829), 0.844 (0.760-0.929), and 0.860 (0.783-0.937), respectively]. When the optimal cut-off value of LAR was 0.11, the sensitivity was 65.7%, the specificity was 96.3%, and the Youden index was 0.620. Patients were grouped based on the optimal cut-off value of LAR, and the results showed that the incidence of ASF in the LAR > 0.11 group was significantly higher than that in the LAR ≤ 0.11 group [88.89% (24/27) vs. 12.50% (11/88), P < 0.05]. CONCLUSIONS LAR has early predictive value for the occurrence of ASF in patients with sepsis, and its efficacy is superior to that of Lac or Alb alone.
Humans ; Sepsis/blood* ; Retrospective Studies ; Lactic Acid/blood* ; Male ; Female ; Intensive Care Units ; Middle Aged ; Risk Factors ; Predictive Value of Tests ; Serum Albumin/analysis* ; ROC Curve ; Aged

OBJECTIVE: To investigate the value of difference between hematocrit (HCT) and albumin (Alb) in predicting the prognosis of patients with sepsis. METHODS: A retrospective study was conducted on the septic patients hospitalized at the First Affiliated Hospital of Guangxi Medical University from January to October in 2024. Clinical data including gender, age, body mass index (BMI), history of hypertension or diabetes, vital signs on admission, and sequential organ failure assessment (SOFA) score, acute physiology and chronic health evaluation II (APACHE II) score, blood lactic acid (Lac), oxygenation index (PaO₂/FiO₂), hemoglobin (Hb), white blood cell count (WBC), platelet count (PLT), lymphocyte count (LYM), HCT, Alb, difference between HCT and Alb, bilirubin, scrum creatinine (SCr), and fibrinogen (Fib) within 48 hours of admission were collected. The 28-day prognosis of patients was also recorded. Binary multivariate Logistic regression analysis was used to identify risk factors for 28-day death in patients with sepsis. The predictive efficacy of the difference between HCT and Alb on 28-day death was evaluated using the receiver operator characteristic curve (ROC curve). RESULTS: Among 180 enrolled septic patients, 140 survived and 40 died on 28 days. Compared with the survival group, the patients in the death group was significantly older (years old: 64±16 vs. 55±15, P < 0.05), and had higher SOFA score, APACHE II score, and SCr [SOFA score: 6 (4, 9) vs. 3 (2, 5), APACHE II score: 13 (10, 18) vs. 8 (6, 11), SCr (μmol/L): 136 (70, 416) vs. 77 (58, 126), all P < 0.05] as well as lower Hb, PLT, HCT, difference between HCT and Alb, and Fib within 48 hours of admission [Hb (g/L): 90±30 vs. 106±79, PLT (×10⁹/L): 158 (57, 240) vs. 215 (110, 315), HCT: 0.258±0.081 vs. 0.333±0.077, difference between HCT and Alb: -6.52±7.40 vs. 1.07±7.63, Fib (g/L): 3.72±1.57 vs. 4.59±1.55, all P < 0.05]. No significant difference in gender, BMI, history of hypertension or diabetes, vital signs on admission, or other laboratory indicators was found between the two groups. Binary multivariate Logistic regression analysis revealed that age [odds ratio (OR) = 1.040, 95% confidence interval (95%CI) was 1.004-1.078, P = 0.030], APACHE II score (OR = 1.218, 95%CI was 1.038-1.430, P = 0.016), Hb (OR = 1.040, 95%CI was 1.014-1.068, P = 0.003), and difference between HCT and Alb (OR = 0.804, 95%CI was 0.727-0.889, P < 0.001) were independent risk factors for 28-day death of septic patients. ROC curve analysis showed that the area under the ROC curve (AUC) of difference between HCT and Alb for predicting 28-day death of septic patients was 0.764 (95%CI was 0.679-0.849, P < 0.001). A cut-off value of difference between HCT and Alb ≤ -5.35 yielded a sensitivity of 80.7% and specificity of 65.0%. CONCLUSIONS The difference between HCT and Alb at early admission is a valuable predictor of prognosis in septic patients. A difference ≤ -5.35 indicates an increased death risk of septic patients.
Humans ; Prognosis ; Sepsis/blood* ; Retrospective Studies ; Hematocrit ; Serum Albumin/analysis* ; Male ; Female ; Middle Aged ; Aged ; APACHE