PURPOSE: Assessing fluid responsiveness relying on central venous oxygen saturation (ScvO₂) yields varied outcomes across several studies. This study aimed to determine the ability of the change in ScvO₂ (ΔScvO₂) to detect fluid responsiveness in ventilated septic shock patients and potential influencing factors. METHODS: In this prospective, single-center study, all patients conducted from February 2023 to January 2024 received fluid challenge. Oxygen consumption was measured by indirect calorimetry, and fluid responsiveness was defined as an increase in cardiac index (CI) ≥ 10% measured by transthoracic echocardiography. Multivariate linear regression analysis was conducted to evaluate the impact of oxygen consumption, arterial oxygen saturation, CI, and hemoglobin on ScvO₂ and its change before and after fluid challenge. The Shapiro-Wilk test was used for the normality of continuous data. Data comparison between fluid responders and non-responders was conducted using a two-tailed Student t-test, Mann Whitney U test, and Chi-square test. Paired t-tests were used for normally distributed data, while the Wilcoxon signed-rank test was used for skewed data, to compare data before and after fluid challenge. RESULTS: Among 49 patients (31 men, aged (59 ± 18) years), 27 were responders. The patients had an acute physiology and chronic health evaluation II score of 24 ± 8, a sequential organ failure assessment score of 11 ± 4, and a blood lactate level of (3.2 ± 3.1) mmol/L at enrollment. After the fluid challenge, the ΔScvO₂ (mmHg) in the responders was greater than that in the non-responders (4 ± 6 vs. 1 ± 3, p = 0.019). Multivariate linear regression analysis suggested that CI was the only independent influencing factor of ScvO₂, with R² = 0.063, p = 0.008. After the fluid challenge, the change in CI became the only contributing factor to ΔScvO₂ (R² = 0.245, p < 0.001). ΔScvO₂ had a good discriminatory ability for the responders and non-responders with a threshold of 4.4% (area under the curve = 0.732, p = 0.006). CONCLUSION ΔScvO₂ served as a reliable surrogate marker for ΔCI and could be utilized to assess fluid responsiveness, given that the change in CI was the sole contributing factor to the ΔScvO₂. In stable hemoglobin conditions, the absolute value of ScvO₂ could serve as a monitoring indicator for adequate oxygen delivery independent of oxygen consumption.
Humans ; Shock, Septic/blood* ; Male ; Female ; Middle Aged ; Prospective Studies ; Oxygen Saturation ; Aged ; Fluid Therapy ; Oxygen/blood* ; Oxygen Consumption ; Adult

PURPOSE: Septic shock is associated with high mortality and poor outcomes among sepsis patients with coagulopathy. Although traditional statistical methods or machine learning (ML) algorithms have been proposed to predict septic shock, these potential approaches have never been systematically compared. The present work aimed to develop and compare models to predict septic shock among patients with sepsis. METHODS: It is a retrospective cohort study based on 484 patients with sepsis who were admitted to our intensive care units between May 2018 and November 2022. Patients from the 908th Hospital of Chinese PLA Logistical Support Force and Nanchang Hongdu Hospital of Traditional Chinese Medicine were respectively allocated to training (n=311) and validation (n=173) sets. All clinical and laboratory data of sepsis patients characterized by comprehensive coagulation indexes were collected. We developed 5 models based on ML algorithms and 1 model based on a traditional statistical method to predict septic shock in the training cohort. The performance of all models was assessed using the area under the receiver operating characteristic curve and calibration plots. Decision curve analysis was used to evaluate the net benefit of the models. The validation set was applied to verify the predictive accuracy of the models. This study also used Shapley additive explanations method to assess variable importance and explain the prediction made by a ML algorithm. RESULTS: Among all patients, 37.2% experienced septic shock. The characteristic curves of the 6 models ranged from 0.833 to 0.962 and 0.630 to 0.744 in the training and validation sets, respectively. The model with the best prediction performance was based on the support vector machine (SVM) algorithm, which was constructed by age, tissue plasminogen activator-inhibitor complex, prothrombin time, international normalized ratio, white blood cells, and platelet counts. The SVM model showed good calibration and discrimination and a greater net benefit in decision curve analysis. CONCLUSION The SVM algorithm may be superior to other ML and traditional statistical algorithms for predicting septic shock. Physicians can better understand the reliability of the predictive model by Shapley additive explanations value analysis.
Humans ; Shock, Septic/blood* ; Machine Learning ; Male ; Female ; Retrospective Studies ; Middle Aged ; Aged ; Sepsis/complications* ; ROC Curve ; Cohort Studies ; Adult ; Intensive Care Units ; Algorithms ; Blood Coagulation ; Critical Illness

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 observe change in serum growth differentiation factor 11 (GDF11) and killer cell lectin-like receptor B1 (KLRB1), to construct a nomogram model for 28-day death in patients with septic shock, and to explore its predictive value. METHODS: A prospective observational study was conducted. The patients with septic shock admitted to the emergency intensive care unit (ICU) of Cangzhou Central Hospital from September 2023 to March 2025 were selected as the septic shock group, the patients with sepsis admitted to the emergency general ward during the same period were selected as the sepsis group, and healthy individuals undergoing physical examination during the same period were selected as the control group. On the day of hospital admission or physical examination for the research subjects, the levels of serum GDF11 and KLRB1 were detected by enzyme-linked immunosorbent assay (ELISA). The patients with septic shock were divided into survival and death groups based on their 28-day survival status. The patients' gender, age, past medical history, infection site, severity of illness, mechanical ventilation, blood purification, infection indicators, biochemical indicators, coagulation function indicators, and blood lactic acid (Lac) were collected. The clinical data of the patients with septic shock between the two groups with different prognoses were compared. Multivariate Logistic regression analysis was used to screen the risk factors for 28-day death in patients with septic shock, and bivariate Pearson correlation analysis was conducted. A nomogram model was constructed based on the risk factors for 28-day death in patients with septic shock. The discrimination and calibration of the nomogram model were evaluated using the receiver operator characteristic curve (ROC curve), Hosmer-Lemeshow goodness-of-fit test, and calibration curve. The clinical utility of the model was evaluated using clinical decision curve analysis (DCA). RESULTS: A total of 168 patients in the emergency ICU were enrolled in the septic shock group, 40 patients in the emergency general ward were enrolled in the sepsis group, and 40 healthy individuals were enrolled in the control group. Compared with the healthy control group, the serum GDF11 levels in the sepsis and septic shock groups were significantly increased (μg/L: 13.09±3.51, 19.28±5.36 vs. 4.17±0.92, both P < 0.05), and the serum KLRB1 levels were significantly decreased (ng/L: 57.36±11.28, 45.52±9.07 vs. 84.19±17.16, both P < 0.05), with more significant changes in the septic shock group (both P < 0.05). Among the 168 patients with septic shock, 96 survived and 72 died within 28 days. Compared with the survival group, the serum GDF11 level in the death group was significantly increased (μg/L: 24.24±4.81 vs. 15.56±4.62, P < 0.05), and the serum KLRB1 level was significantly decreased (ng/L: 28.53±8.69 vs. 58.26±9.45, P < 0.05). There were also statistically significant differences in sequential organ failure assessment (SOFA) score, acute physiology and chronic health evaluation II (APACHEII) score, procalcitonin (PCT), activated partial thromboplastin time (APTT), D-dimer, and Lac between the two groups. Multivariate Logistic regression analysis showed that SOFA score [odds ratio (OR) = 1.96, 95% confidence interval (95%CI) was 1.38-3.65), Lac (OR = 1.38, 95%CI was 1.09-2.01), GDF11 (OR = 1.54, 95%CI was 1.21-2.33) and KLRB1 (OR = 0.64, 95%CI was 0.41-0.78) were independent risk factors for 28-day death in patients with septic shock (all P < 0.05). Bivariate Pearson correlation analysis showed that SOFA score was significantly positively correlated with Lac and GDF11 (r value was 0.37 and 0.58, respectively, both P < 0.05), and significantly negatively correlated with KLRB1 (r = -0.72, P < 0.05). A nomogram model was constructed based on the risk factors for 28-day death in patients with septic shock. ROC curve analysis showed that the area under the ROC curve (AUC) of the nomogram model for predicting 28-day death in patients with septic shock was 0.963 (95%CI was 0.929-0.990), indicating that the model had good discrimination and predictive ability. The Hosmer-Lemeshow goodness-of-fit test (χ ² = 9.578, P = 0.295) and calibration curve indicated that the predicted values of the model were in good agreement with the actual values. DCA indicated that the model provided a high net benefit for clinical decision-making. CONCLUSIONS The serum GDF11 level was significantly increased and the KLRB1 level was significantly decreased in patients with septic shock. The nomogram model based on GDF11 and KLRB1 could more accurately evaluate the 28-day death of patients with septic shock.
Humans ; Shock, Septic/blood* ; Nomograms ; Prospective Studies ; Prognosis ; Male ; Female ; Middle Aged ; Aged ; Intensive Care Units

Objective: To investigate the predictive value of D-dimer for deep venous thrombosis (DVT) of lower extremity in adult burn patients. Methods: A retrospective case series study was conducted. The clinical data of 3 861 adult burn patients who met the inclusion criteria and were admitted to the Department of Burns of Zhengzhou First People's Hospital from January 1, 2015 to December 31, 2019 were collected. The patients were divided into DVT group (n=77) and non-DVT group (n=3 784) according to whether DVT of lower extremity occurred during hospitalization or not. Data of patients in the two groups were collected and compared, including the gender, age, total burn area, D-dimer level, with lower limb burn and inhalation injury or not on admission, with sepsis/septic shock, femoral vein indwelling central venous catheter (CVC), history of surgery, and infusion of concentrated red blood cells or not during hospitalization. Data were statistically analyzed with independent sample t test, Mann-Whitney U test, and chi-square test. The indicators with statistically significant differences between the two groups were analyzed with multivariate logistic regression analysis to screen the independent risk factors for DVT of lower extremity in 3 861 adult burn patients. The receiver operating characteristic (ROC) curve of the independent risk factors predicting DVT of lower extremity in 3 861 adult burn patients were drawn, and the area under the curve (AUC), the optimal threshold value, and the sensitivity and specificity under the optimal threshold value were calculated. The quality of the AUC was compared by Delong test, and the sensitivity and specificity under the optimal threshold value were compared using chi-square test. Results: There were no statistically significant differences in gender, occurrence of sepsis/septic shock or history of surgery during hospitalization between patients in the two groups (P>0.05), while there were statistically significant differences in age, total burn area, D-dimer level, lower limb burn and inhalation injury on admission, and femoral vein indwelling CVC and infusion of concentrated red blood cells during hospitalization between patients in the two groups (t=-8.17, with Z values of -5.04 and -10.83, respectively, χ² values of 21.83, 5.37, 7.75, and 4.52, respectively, P<0.05 or P<0.01). Multivariate logistic regression analysis showed that age, total burn area, and D-dimer level were the independent risk factors for DVT of lower extremity in 3 861 adult burn patients (with odds ratios of 1.05, 1.02, and 1.14, respectively, 95% confidence intervals of 1.04-1.06, 1.00-1.03, and 1.10-1.20, respectively, P<0.05 or P<0.01). The AUCs of ROC of age, total burn area, and D-dimer level for predicting DVT of lower extremity in 3 861 adult burn patients were 0.74, 0.67, and 0.86, respectively (with 95% confidence intervals of 0.68-0.80, 0.60-0.74, and 0.83-0.89, respectively, P values<0.01), the optimal threshold values were 50.5 years old, 10.5% total body surface area, and 1.845 mg/L, respectively, the sensitivity under the optimal threshold values were 71.4%, 70.1%, and 87.0%, respectively, and the specificity under the optimal threshold values were 66.8%, 67.2%, and 72.9%, respectively. The AUC quality and sensitivity and specificity under the optimal threshold value of D-dimer level were significantly better than those of age (z=3.29, with χ² values of 284.91 and 34.25, respectively, P<0.01) and total burn area (z=4.98, with χ² values of 326.79 and 29.88, respectively, P<0.01), while the AUC quality and sensitivity and specificity under the optimal threshold values were similar between age and total burn area (P>0.05). Conclusions: D-dimer level is an independent risk factor for DVT of lower extremity in adult burn patients, its AUC quality and sensitivity and specificity under the optimal threshold value are better than those of age and total burn area, and it has good predictive value for DVT of lower extremity in adult burn patients.
Adult ; Burns/complications* ; Fibrin Fibrinogen Degradation Products/analysis* ; Humans ; Lower Extremity/blood supply* ; Lung Injury/etiology* ; Middle Aged ; Prognosis ; Retrospective Studies ; Shock, Septic/etiology* ; Venous Thrombosis/etiology*

OBJECTIVE: To analyze the association of the clinical inflammatory indices with the severity of urinary sepsis. METHODS: We reviewed the clinical data of 70 patients with urinary sepsis treated in our hospital between January, 2013 and April, 2018. All the patients were diagnosed in line with the Guidelines for Diagnosis and Treatment of Urological Diseases in China (2014 edition), including 22 patients with sepsis, 12 with hypotension and severe sepsis, 17 with septic shock, and 19 with critical septic shock. White blood cell count (WBC), neutrophil percentage (N%), platelets (PLT), fibrinogen (FIB), Ddimer, interleukin-6 (IL-6), procalcitonin (PCT) and C-reactive protein (CRP) were examined in all the cases and compared among the 4 groups. The correlations of these inflammatory markers with the severity of sepsis were analyzed using logistic regression analysis. RESULTS: The 4 groups of patients showed significant differences in N%, PLT, D-dimer, and PCT ( < 0.05) but not in CRP (>0.05). Kruskal-Wallis Pairwise comparisons showed that the N% and PCT in patients with sepsis differed significantly from those in the other 3 groups; platelets in patients with sepsis differed significantly from those in patients with septic shock and critical septic shock; D-dimer differed significantly between patients with sepsis and those with septic shock. Among the 4 groups, the median levels of PLT decreased and PCT and N% increased with the worsening of sepsis. Logistic regression analysis indicated that PCT (=0.186, =0.000), N% (=0.047, =0.035) and PLT (=-0.012, =0.003) were significantly correlated with the severity of sepsis in these patients. CONCLUSIONS PCT, PLT and N% are all significantly correlated with the severity of sepsis, and their combined detection can be informative for assessing the severity of sepsis to facilitate clinical decisions on treatment.
Biomarkers ; blood ; C-Reactive Protein ; analysis ; China ; Fibrin Fibrinogen Degradation Products ; analysis ; Fibrinogen ; analysis ; Humans ; Interleukin-6 ; blood ; Leukocyte Count ; Platelet Count ; Procalcitonin ; blood ; Sepsis ; blood ; diagnosis ; Severity of Illness Index ; Shock, Septic ; blood ; diagnosis ; Statistics, Nonparametric ; Urinary Tract Infections ; diagnosis

OBJECTIVE: To explore the predictive value of heparin-binding protein (HBP) combined with sequential organ failure assessment (SOFA) score in patients with septic shock. METHODS: Seventy-eight patients with sepsis admitted to intensive care unit (ICU) of Henan Provincial People's Hospital from December 2016 to May 2017 were enrolled. Thirty healthy persons were enrolled as controls. The patient's gender, age, length of ICU stay, and blood culture results, white blood cell count (WBC), C-reactive protein (CRP), procalcitonin (PCT), blood lactate (Lac), HBP, SOFA score, acute physiology and chronic health evaluation II (APACHE II) score, organ failure and vasoactive agents usage within 24 hours of admission were recorded. The differences in the above indicators between the groups were compared, and the receiver operating characteristic (ROC) curve was drawn to evaluate the predictive value of HBP, SOFA score and their combination in patients with septic shock. RESULTS: All patients were enrolled in the final analysis, including 64 with sepsis and 14 with septic shock. Compared with the sepsis group, the proportion of patients with septic shock who were positive for blood culture, organ failure, and vasoactive agents was higher [57.1% (8/14) vs. 7.8% (5/64), 100.0% (14/14) vs. 65.6% (42/64), 100.0% (14/14) vs. 18.8% (12/64), all P < 0.01], SOFA and APACHE II scores were also higher (SOFA: 8.93±4.16 vs. 5.89±2.68, APACHE II: 22.29±4.89 vs. 15.28±5.14, both P < 0.01); however, there was no significant difference in gender, age or length of ICU stay between the two groups. Compared with the healthy control group, HBP, PCT, CRP and Lac levels were significantly increased in the sepsis group and the septic shock group. HBP in the septic shock group was significantly higher than that in the sepsis group (μg/L: 120.33±43.49 vs. 68.95±54.15, P < 0.05), but there was no significant difference in PCT, CRP or Lac between septic shock group and sepsis group [PCT (μg/L): 1.42 (0.47, 46.00) vs. 0.71 (0.19, 4.50), CRP (mg/L): 102.90±78.12 vs. 102.07±72.15, Lac (mmol/L): 1.81 (1.14, 3.65) vs. 1.59 (1.17, 2.24), all P > 0.05]. It was shown by ROC curve analysis that the area under the ROC curve (AUC) of SOFA score for predicting septic shock was 0.715 [95% confidence interval (95%CI) = 0.540-0.890, P = 0.012], and when the optimal cut-off value was 7.5, the sensitivity was 64.3%, the specificity was 76.6%. The AUC of HBP was 0.814 (95%CI = 0.714-0.913, P < 0.001), and when the optimal cut-off value was 89.43 μg/L, the sensitivity was 78.6%, the specificity was 76.6%; when the two were combined, the AUC was 0.829 (95%CI = 0.724-0.935, P < 0.001), the sensitivity was 92.9%, and the specificity was 61.9%. CONCLUSIONS HBP can be used as a biological indicator for predicting septic shock, and the accuracy of predicting septic shock can be improved with the combination of SOFA score.
Antimicrobial Cationic Peptides/analysis* ; Blood Proteins/analysis* ; Carrier Proteins/analysis* ; Female ; Humans ; Male ; Organ Dysfunction Scores ; Predictive Value of Tests ; Shock, Septic/diagnosis*

OBJECTIVE: To evaluate the prognostic value of the difference between peripheral venous and arterial partial pressure of carbon dioxide in patients with septic shock following early resuscitation. METHODS: This prospective study was conducted among the patients with septic shock treated in our department during the period from May, 2017 to May, 2018. Peripheral venous, peripheral arterial and central venous blood samples were collected simultaneously and analyzed immediately at bedside after 6-h bundle treatment. Arterial blood lactate concentration (Lac) and the arterial (PaCO), peripheral venous (PpvCO) and central venous partial pressure of carbon dioxide (PcvCO) were recorded. The differences between PpvCO and PaCO (Ppv-aCO) and between PcvCO and PaCO (Pcv-aCO) were calculated. Pearson correlation analysis was used to test the agreement between Pcv-aCO and Ppv-aCO. Multivariable logistic regression analysis was performed to analyze the possible risk factors for 28-day mortality, and the receiver-operating characteristic curve (ROC) was plotted to assess the prognostic values of these factors for 28-day mortality. RESULTS: A total of 62 patients were enrolled in this study, among who 35 survived and 27 died during the 28-day period. Compared with the survivor group, the patients died within 28 days showed significantly higher Acute Physiology and Chronic Health Evaluation Ⅱ (APACHE Ⅱ) score (24.2±6.0 20.5±4.9, =0.011), sequential organ failure assessment (SOFA) score (14.9±4.7 12.2±4.5, =0.027), PcvaCO (5.5±1.6 7.1±1.7, < 0.001), PpvaCO (7.1±1.8 10.0±2.7, < 0.001), and arterial lactate level (3.3±1.2 4.2±1.3, =0.003) after 6-h bundle treatment. Pearson correlation analysis showed that Ppv-aCO was significantly correlated with Pcv-aCO (=0.897, R= 0.805, < 0.001). Multiple logistic regression analysis identified Ppv-aCO (β=0.625, =0.001, OR=1.869, 95% CI: 1.311-2.664) and lactate level (β=0.584, =0.041, OR=1.794, 95%CI: 1.024-3.415) as the independent risk factors for 28-day mortality. The maximum area under the ROC (AUC) of Ppv-aCO was 0.814 (95%CI: 0.696- 0.931, < 0.001), and at the best cut- off value of 9.05 mmHg, Ppv-aCO had a sensitivity of 70.4% and a specificity of 88.6% for predicting 28-day mortality. The AUC of lactate level was 0.732 (95%CI: 0.607-0.858, =0.002), and its sensitivity for predicting 28-day mortality was 70.4% and the specificity was 74.3% at the best cut-off value of 3.45 mmol/L; The AUC of Pcv-aCO was 0.766 (95%CI: 0.642-0.891, < 0.001), and its sensitivity was 66.7% and the specificity was 80.0% at the best cut-off value of 7.05 mmHg. CONCLUSIONS A high Ppv-aCO after early resuscitation of septic shock is associated with poor outcomes. Ppv-aCO is well correlated with Pcv-aCO and can be used as an independent indicator for predicting 28-day mortality in patients with septic shock.
APACHE ; Carbon Dioxide ; Cardiopulmonary Resuscitation ; Humans ; Lactic Acid ; blood ; Organ Dysfunction Scores ; Partial Pressure ; Pilot Projects ; Prognosis ; Prospective Studies ; ROC Curve ; Regression Analysis ; Shock, Septic ; blood ; mortality

The key to the treatment of septic shock is to provide adequate oxygen supply and improve tissue perfusion. Lactate and central venous oxygen saturation (ScvO) are commonly used as the indices of oxygen metabolism, but tissue hypoxia may still exist even when lactate and ScvOare within the normal range. Arteriovenous difference in carbon dioxide partial pressure (COgap) can accurately reflect oxygen delivery when ScvOis in the normal range. This article reviews the advantages and shortages of lactate, lactate clearance rate, ScvO, and COgap in evaluating tissue hypoxia, in order to provide a reference for treatment and severity evaluation of septic shock.
Carbon Dioxide ; blood ; Humans ; Lactic Acid ; metabolism ; Metabolic Clearance Rate ; Oxygen ; blood ; Shock, Septic ; metabolism

BACKGROUNDThe normal range of red cell distribution width (RDW) level is <15%. Several studies have indicated that a high RDW level was associated with mortality in critically ill patients, and the patients with a high RDW level need increased focus in clinical practice. In view of the difficulty in defining the specific value of high RDW level, the key is to focus on the patient with the level beyond the normal upper limit. This study aimed to determine whether dynamic change of RDW levels, rather than the level itself, is predictive of death in elderly patients with septic shock when RDW level is beyond 15%.

METHODSBetween September 2013 and September 2015, the elderly septic shock patients with RDW level beyond 15% were enrolled in this study. The RDW levels were measured at enrollment (day 1), and days 4 and 7 after enrollment. Sequential Organ Failure Assessment (SOFA) scores were recorded simultaneously.

RESULTSA total of 45 patients, including 32 males and 13 females, were included in the final analysis. Based on their hospital outcomes, these patients were divided into the survivor group (n = 26) and the nonsurvivor group (n = 19). There were no significant differences in age, gender, body mass index, initial level of RDW, Acute Physiology and Chronic Health Evaluation II scores, and SOFA scores between survivors and nonsurvivors. At days 4 and 7 measurement, both RDW level (median [interquartile range]: day 4: 15.8 [2.0]% vs. 16.7 [2.0]%, P= 0.011; and day 7: 15.6 [1.8]% vs. 17.7 [2.5]%, P= 0.001) and SOFA scores (day 4: 7.0 [4.0] vs. 16.0 [5.0], P< 0.001, day 7: 5.5 [4.0] vs. 17.0 [5.0], P< 0.001) were significantly lower in survivors than those in nonsurvivors. Dynamic changes of RDW and SOFA scores in survivor group were significantly different from those in nonsurvivor group (all P< 0.05). Continuous increase in RDW level was observed in 10 of the 13 nonsurvivors, but only in 3 of the 26 survivors. The level of RDW7 and dynamic changes significantly correlated with their counterparts of SOFA scores (all P< 0.05), whereas the levels of RDW1 and RDW4 had no significant correlation with their counterparts of SOFA scores (all P> 0.05).

CONCLUSIONSContinuous increase in RDW level, rather than the level of RDW itself, was more useful in predicting hospital death in elderly patients with septic shock when the level of RDW was >15%. The dynamic changes of RDW were highly correlated with the SOFA score in the patients.

APACHE ; Aged ; Aged, 80 and over ; Critical Illness ; Erythrocyte Indices ; physiology ; Female ; Hospital Mortality ; Humans ; Male ; Observational Studies as Topic ; Organ Dysfunction Scores ; Prognosis ; Shock, Septic ; blood ; mortality