Humans ; Fasciitis, Necrotizing/diagnosis* ; Prospective Studies ; Organ Dysfunction Scores ; Prognosis

PURPOSE: The aim of the study was to validate abbreviated mortality in emergency department sepsis (MEDS) scoring system by comparing it with original MEDS score and to assess the prognostic value of other prognostic factor for sepsis patients including multiple organ dysfunction score (MODS), sepsis-related organ failure assessment (SOFA) score, and serum procalcitonin level. METHODS: Adult patients visiting emergency department (ED) with evidence of septic shock were enrolled to the study. MEDS score, MODS, and SOFA score were calculated based on initial clinical data. Receiver-operating characteristics (ROC) analyses were used to assess the prognostic factors for predicting mortality. Kaplan-Meier survival analyses (KMSA) were used to determine whether the prognostic factors had correlation with survival time. RESULTS: Only MODS showed significant predicting power for mortality (p=0.003, area under curve=0.625). Estimated median survival of all the patients calculated by KMSA was 11.0 (standard error 1.7) days, and predefined criteria of all prognostic factors showed significant differences in survival time. CONCLUSION: MEDS, abbreviated MEDS, MODS, and SOFA scoring systems were useful factors for predicting survival time of septic shock patients visiting ED.
Adult ; Calcitonin ; Emergencies ; Humans ; Multiple Organ Failure ; Organ Dysfunction Scores ; Prognosis ; Protein Precursors ; Sepsis ; Shock, Septic

The Third International Consensus Definitions for Sepsis and Septic Shock (SEPSIS-3) task force assessed the latest pathophysiological parameters associated with sepsis and septic shock and defined sepsis as life-threatening organ dysfunction caused by a dysregulated host response to infection. This SEPSIS-3 definition may be applied using relevant clinical and biological criteria including changes in the Sequential Organ Failure Assessment score and serum lactate levels. The new definition does not include criteria for systemic inflammatory response syndrome or the concept of 'severe sepsis.' The SEPSIS-3 definition aims to devise more precise descriptions of sepsis and to improve clinical care. However, there are important questions relating to the clinical application of the new definition. We review the main characteristics and limitations of previous definitions and discuss some of the potential controversies raised by the new framework.
Advisory Committees ; Consensus ; Lactic Acid ; Organ Dysfunction Scores ; Sepsis* ; Shock, Septic ; Systemic Inflammatory Response Syndrome

OBJECTIVE: To study the predictive value of Pediatric Age-adapted Sequential Organ Failure Assessment Score (pSOFA), Pediatric Risk of Mortality Score III (PRISM III), and Pediatric Critical Illness Score (PCIS) in children with severe sepsis. METHODS: A retrospective analysis was performed for the clinical data of 193 hospitalized children with severe sepsis. According to the final outcome, these children were divided into a survival group with 151 children and a death group with 42 children. The scores of pSOFA, PRISM III, and PCIS were determined according to the worst values of each index within 24 hours after admission. The receiver operating characteristic (ROC) curve was used to analyze the efficiency of each scoring system in predicting the risk of death due to sepsis. Smooth curve fitting was used to analyze the correlation between the three scoring systems and the threshold effect of each scoring system. Decision curve analysis (DCA) was used to evaluate the application value of each scoring system. RESULTS: The ROC analysis showed that PCIS and pSOFA had a similar predictive value (P=0.182) and that PRISM III and pSOFA had a similar predictive value (P=0.210), while PRISM III had a better predictive value than PCIS (P=0.045). PRISM III had the highest degree of fitting with prognosis, followed by pSOFA and PCIS. The DCA analysis showed that when the risk of death was 0.4 and 0.6 in children with severe sepsis and the three scoring systems were used as the basis for emergency intervention decision-making, pSOFA achieved the highest standardized net benefit, followed by PRISM III and PCIS. CONCLUSIONS All three scoring systems have a certain value in predicting the prognosis of children with severe sepsis, and pSOFA has a better value than PRISM III and PCIS.
Child ; Critical Illness ; Humans ; Organ Dysfunction Scores ; Prognosis ; ROC Curve ; Retrospective Studies ; Sepsis

BACKGROUNDComorbidity is one of the most important determinants of short-term and long-term outcomes in septic patients. Charlson's weighted index of comorbidities (WIC) and the chronic health score (CHS), which is a component of the acute physiology and chronic health evaluation (APACHE) II, are two frequently-used measures of comorbidity. In this study, we assess the performance of WIC and CHS in predicting the hospital mortality of intensive care unit (ICU) patients with sepsis.

METHODSA total of 338 adult patients with sepsis were admitted to a multisystem ICU between October 2010 and August 2012. Clinical data were collected, including age, gender, underlying diseases, key predisposing causes, severity-of-sepsis, and hospital mortality. The APACHE II, CHS, acute physiology score (APS), sequential organ failure assessment (SOFA) and WIC scores were assessed within the first 24 hours of admission. Univariate and multiple Logistic regression analyses were used to compare the performance of WIC and CHS. The area under the receiver operating characteristic curve (AUC) was used to predict hospital mortality over classes of risk.

RESULTSOf all the enrolled patients, 224 patients survived and 114 patients died. The surviving patients had significantly lower WIC, CHS, APACHE II, and SOFA scores than the non-surviving patients (P < 0.05). Combining WIC or CHS with other administrative data showed that the hospital mortality was significantly associated with age, severe sepsis, key predisposing causes such as pneumonia, a history of underlying diseases such as hypertension and congestive cardiac failure, and WIC, CHS and APS scores (P < 0.05). The AUC for the hospital mortality were 0.564 (95% confidence interval (CI) 0.496-0.631) of CHS, 0.663 (95% CI 0.599-0.727) of WIC, 0.770 (95% CI 0.718-0.822) of APACHE II, 0.856 (95% CI 0.815-0.897) of the CHS combined with other administrative data, and 0.857 (95% CI 0.817-0.897) of the WIC combined with other administrative data. The diagnostic value of WIC was better than that of CHS (P = 0.0015).

CONCLUSIONSThe WIC and CHS scores might be independent determinants for hospital mortality among ICU patients with sepsis. WIC might be an even better predictor of the mortality of septic patients with comorbidities than CHS.

APACHE ; Adult ; Aged ; Comorbidity ; Female ; Humans ; Male ; Middle Aged ; Organ Dysfunction Scores ; Sepsis ; mortality ; pathology ; Severity of Illness Index

OBJECTIVE: To explore the prognostic value of early multiple detection indicators in combination with sequential organ failure assessment (SOFA) in sepsis patients. METHODS: A retrospective analysis was conducted. Patients with sepsis admitted to the department of critical care medicine of Huanggang Central Hospital of Yangtze University from May 2020 to May 2022 were selected as the research subjects. Coagulation indicators, inflammatory factors, blood routine, liver and kidney function, and blood gas analysis were collected at admission. Organ dysfunction was assessed based on the SOFA score within 24 hours after admission. Patients were divided into a survival group and a death group according to the outcome of 28 days in ICU. Differences in the above indicators between the two groups were compared. Multifactorial Logistic regression analysis was used to analyze prognostic factors of 28-day mortality in sepsis patients. Receiver operator characteristic curve (ROC curve) was drawn to analyze the predictive performance of various indicators, the SOFA score, and the combine model for the 28-day outcome in patients with sepsis. RESULTS: A total of 101 patients with sepsis were enrolled, 56 patients survived and 45 patients died. Compared to the survival group, patients in the death group were older, the proportion of patients with septic shock was larger, the SOFA score, and the proportion of pulmonary infection were higher, the prothrombin time (PT) and activated partial thromboplastin time (APTT) were significantly prolonged, the prothrombin activity (PTA) was significantly shortened, and antithrombin (AT) was significantly decreased, the levels of hypersensitivity C-reactive protein (hs-CRP), blood urea nitrogen (BUN), total bilirubin (TBil), and lactic acid (Lac) were significantly increased, while the platelet count (PLT) was significantly decreased. Multifactorial Logistic regression analysis showed that pulmonary infection [odds ratio (OR) = 0.010, 95% confidence interval (95%CI) was 0.001-0.164, P = 0.001], AT (OR = 0.944, 95%CI was 0.910-0.978, P = 0.002), hs-CRP (OR = 1.008, 95%CI was 1.001-1.015, P = 0.017), Lac (OR = 1.619, 95%CI was 1.195-2.193, P = 0.002), and SOFA score (OR = 1.363, 95%CI was 1.076-1.727, P = 0.010) were independent prognostic factors for 28-day mortality in patients. A combined model was constructed using pulmonary infection, AT, hs-CRP, Lac, and SOFA score. ROC curve analysis showed that the area under the ROC curve (AUC) for the combine model in predicting sepsis prognosis was 0.936 (95%CI was 0.869-0.975, P < 0.001), which was higher in value compared to single indicators (AUC of AT, hs-CRP, Lac, and SOFA score were 0.775, 0.666, 0.802, 0.796, respectively, all P < 0.05). CONCLUSIONS The predictive ability of the SOFA score for sepsis patient outcomes is limited. The combine model combining infection site, AT, hs-CRP, and Lac shows better predictive ability.
Humans ; Organ Dysfunction Scores ; Retrospective Studies ; C-Reactive Protein ; ROC Curve ; Sepsis/metabolism* ; Prognosis ; Anticoagulants ; Antithrombin III ; Intensive Care Units

BACKGROUND: Hospital-acquired pneumonia (HAP) is the most common hospital-acquired infection in China with substantial morbidity and mortality. But no specific risk assessment model has been well validated in patients with HAP. The aim of this study was to investigate the published risk assessment models that could potentially be used to predict 30-day mortality in HAP patients in non-surgical departments. METHODS: This study was a single-center, retrospective study. In total, 223 patients diagnosed with HAP from 2012 to 2017 were included in this study. Clinical and laboratory data during the initial 24 hours after HAP diagnosis were collected to calculate the pneumonia severity index (PSI); consciousness, urea nitrogen, respiratory rate, blood pressure, and age ≥65 years (CURB-65); Acute Physiology and Chronic Health Evaluation II (APACHE II); Sequential Organ Failure Assessment (SOFA); and Quick Sequential Organ Failure Assessment (qSOFA) scores. The discriminatory power was tested by constructing receiver operating characteristic (ROC) curves, and the areas under the curve (AUCs) were calculated. RESULTS: The all-cause 30-day mortality rate was 18.4% (41/223). The PSI, CURB-65, SOFA, APACHE II, and qSOFA scores were significantly higher in non-survivors than in survivors (all P < 0.001). The discriminatory abilities of the APACHE II and SOFA scores were better than those of the CURB-65 and qSOFA scores (ROC AUC: APACHE II vs. CURB-65, 0.863 vs. 0.744, Z = 3.055, P = 0.002; APACHE II vs. qSOFA, 0.863 vs. 0.767, Z = 3.017, P = 0.003; SOFA vs. CURB-65, 0.856 vs. 0.744, Z = 2.589, P = 0.010; SOFA vs. qSOFA, 0.856 vs. 0.767, Z = 2.170, P = 0.030). The cut-off values we defined for the SOFA, APACHE II, and qSOFA scores were 4, 14, and 1. CONCLUSIONS These results suggest that the APACHE II and SOFA scores determined during the initial 24 h after HAP diagnosis may be useful for the prediction of 30-day mortality in HAP patients in non-surgical departments. The qSOFA score may be a simple tool that can be used to quickly identify severe infections.
Aged ; China ; Hospital Mortality ; Hospitals ; Humans ; Intensive Care Units ; Organ Dysfunction Scores ; Pneumonia ; Prognosis ; ROC Curve ; Retrospective Studies ; Sepsis

OBJECTIVE: To study the significance of the level of soluble triggering receptor expressed on myeloid cells-1 (sTREM-1) in serum and bronchoalveolar lavage fluid (BALF), Acute Physiology and Chronic Health Evaluation II (APACHE II) score, and Sequential Organ Failure Assessment (SOFA) score in evaluating the conditions and prognosis of children with severe pneumonia. METHODS: A total of 76 children with severe pneumonia who were admitted from August 2017 to October 2019 were enrolled as the severe pneumonia group. According to the treatment outcome, they were divided into a non-response group with 34 children and a response group with 42 children. Ninety-four children with common pneumonia who were admitted during the same period of time were enrolled as the common pneumonia group. One hundred healthy children who underwent physical examination in the outpatient service during the same period of time were enrolled as the control group. The serum level of sTREM-1, APACHE II score, and SOFA score were measured for each group, and the level of sTREM-1 in BALF was measured for children with severe pneumonia. The correlation of the above indices with the severity and prognosis of severe pneumonia in children was analyzed. RESULTS: The severe pneumonia group had significantly higher serum sTREM-1 level, APACHEII score, and SOFA score than the common pneumonia group and the control group (P<0.05). For the children with severe pneumonia, the non-response group had significant increases in the levels of sTREM-1 in serum and BALF and SOFA score on day 7 after admission, while the response group had significant reductions in these indices, and there were significant differences between the two groups (P<0.05). Positive correlation was found between any two of serum sTREM-1, BALF sTREM-1, and SOFA score (P<0.05). APACHE II score was not correlated with serum sTREM-1, BALF sTREM-1, and SOFA score (P>0.05). CONCLUSIONS The level of sTREM-1 in serum and BALF and SOFA score can be used to evaluate the severity and prognosis of severe pneumonia in children.
APACHE ; Bronchoalveolar Lavage Fluid ; Child ; Humans ; Organ Dysfunction Scores ; Pneumonia ; Prognosis ; ROC Curve ; Sepsis ; Triggering Receptor Expressed on Myeloid Cells-1

OBJECTIVE: To explore the changes in polymorphonuclear neutrophils (PMN) function in peripheral blood of patients with sepsis and liver injury and its prognostic value. METHODS: A prospective observational study was conducted. The patients who met the criteria of Sepsis-3 admitted to intensive care unit (ICU) of Wuxi People's Hospital Affiliated to Nanjing Medical University from March to August in 2019 were enrolled as the research objects, and the patients were divided into sepsis without liver injury group and sepsis with liver injury group; non-sepsis patients who were hospitalized at the same time were enrolled as non-sepsis group; and the healthy people in the physical examination center were enrolled as healthy control group. The gender, age, white blood cell (WBC), PMN and procalcitonin (PCT) were recorded when the patients were admitted to ICU as well as the people on the day of physical examination. The acute physiology and chronic health evaluation II (APACHE II) and sequential organ failure assessment (SOFA) scores were calculated. The 28-day mortality was recorded. The quantitative level of neutrophil extracellular traps (NETs) which reflected by circulating free DNA (cf-DNA/NETs) in peripheral plasma was determined by PicoGreen fluorescence quantitative detection; the qualitative level of NETs was detected by immunofluorescence staining. PMN was extracted from the healthy control group, sepsis without liver injury group and sepsis with liver injury group and cultured in vitro, the quantitative level of cf-DNA/NETs in cell supernatant was determined by PicoGreen fluorescence quantitative detection. The patients were divided into two groups according to 28-day outcome of sepsis patients with liver injury. Receiver operating characteristic (ROC) curve was plotted, and the area under ROC curve (AUC) was calculated to analyze the prognostic value of NETs in sepsis patients with liver injury. RESULTS: Finally, 21 sepsis patients without liver injury, 15 sepsis patients with liver injury, 20 with non-sepsis and 20 with healthy examination were enrolled. There was no significant difference in gender or age among the four groups, indicating that the patients in each group were comparable. The levels of cf-DNA/NETs in peripheral blood, WBC and PMN of the sepsis with and without liver injury groups were significantly higher than those of the healthy control group and non-sepsis group, PCT, APACHE II score, SOFA score and 28-day mortality were significantly higher than those of the non-sepsis group, and the levels of cf-DNA/NETs in peripheral blood, PCT and 28-day mortality of the sepsis with liver injury group were significantly higher than those of the sepsis without liver injury group [cf-DNA/NETs (μg/L): 481.60±275.86 vs. 169.76±57.05, PCT (μg/L): 11.29 (1.79, 67.10) vs. 1.11 (0.19, 4.09), 28-day mortality: 73.3% (11/15) vs. 38.1% (8/21), all P < 0.05]. The results of PMN in vitro showed that there was no NETs in normal culture of healthy control group, and a small amount of NETs was detected in sepsis with and without liver injury groups. After stimulation of PMN stimulator phorbol-12-myristate-13-acetic acid (PMA), more NETs were produced in neutrophils of three groups compared with normal culture. Quantitative analysis showed that the level of cf-DNA/NETs in cell supernatant of the sepsis with liver injury group was significantly higher than that of the sepsis without liver injury group (μg/L: 1 872.29±258.44 vs. 1 313.55±147.45, P < 0.01). In 15 sepsis patients with liver injury, 4 patients survived for 28 days (26.7%) and 11 died (73.3%). The cf-DNA/NETs level of the dead group on the day of admission was significantly higher than that of the survival group (μg/L: 582.36±160.05 vs. 241.17±96.14, P < 0.05). ROC curve analysis showed that the AUC of NETs level in peripheral blood for predicting 28-day death of sepsis patients with liver injury was 0.932 [95% confidence interval (95%CI) was 0.787-1.000]; when the best cut-off value was 266.81 μg/L, the sensitivity was 90.9%, the specificity was 75.0%, and the approximate index was 0.659. CONCLUSIONS The function of NETs in sepsis patients with liver injury has been further changed. The level of peripheral blood NETs has a certain guiding value for the prognosis of sepsis patients with liver injury.
APACHE ; Hepatic Insufficiency/diagnosis* ; Humans ; Liver ; Neutrophils ; Organ Dysfunction Scores ; Prognosis ; Prospective Studies ; ROC Curve ; Retrospective Studies ; Sepsis/diagnosis*

OBJECTIVE: To assess the prognostic value of Charlson weighted index of comorbidities (WIC) combined with sequential organ failure assessment (SOFA) score and procalcitonin (PCT) in sepsis patients in intensive care unit (ICU). METHODS: A prospective cohort study was conducted. 118 patients with sepsis admitted to ICU of Sichuan Provincial People's Hospital from July 2015 to June 2018 were enrolled. The clinical data of the patients including gender, age, pathogenic factors, site of infection, underlying diseases and 28-day prognosis were collected, while the WIC score at ICU admission, the acute physiology and chronic health evaluation II (APACHE II) score and SOFA score within 24 hours after ICU admission, serum PCT level within 1 hour after ICU admission were recorded. The patients were divided into survival group and death group according to 28-day prognosis, and the clinical data of patients with different prognosis were compared. Multivariate Logistic regression model was used to analyze the relationship between WIC score, SOFA score, PCT level and the outcomes of patients. The receiver operating characteristic (ROC) curve was drawn to evaluate the value of WIC score, SOFA score, and PCT level for predicting the prognosis of patients with sepsis. RESULTS: In this study, 118 eligible sepsis patients were enrolled, and 94 patients survived at 28 days, and 24 patients died with a 28-day mortality of 20.3%. Compared with the survival group, the patients in the death group were older and had higher APACHE II score, WIC score, SOFA score, and serum PCT levels. Pathogenic factors analysis showed that the proportion of pulmonary infection in the death group was the highest (62.5%), while in the survival group the main cause was multiple injury (36.2%), followed by pulmonary infection (30.9%). Basic diseases analysis showed that the proportions of tumor, type 2 diabetes, chronic lung disease, cerebrovascular disease, chronic kidney disease, chronic liver disease, and chronic cardiac insufficiency in the death group were significantly higher than those in the survival group. The age [odds ratio (OR) = 1.279, 95% confidence interval (95%CI) was 1.065-1.536], APACHE II score (OR = 1.255, 95%CI was 1.083-1.455), WIC score (OR = 1.429, 95%CI was 1.304-1.568), SOFA score (OR = 1.331, 95%CI was 1.456-1.545), and serum PCT level (OR = 1.497, 95%CI was 1.146-1.547) were related to the 28-day prognosis of patients with sepsis, and were independent predictors of 28-day prognosis in patients with sepsis (all P < 0.01). ROC curve analysis showed that the area under ROC curve (AUC) of WIC score, SOFA score, serum PCT level and combined prediction probability was 0.712 (95%CI was 0.588-0.836), 0.801 (95%CI was 0.695-0.908), 0.889 (95%CI was 0.798-0.979), 0.943 (95%CI was 0.884-1.000), respectively, indicating that the accuracy of combined parameters to predict survival outcome was higher than that of any single parameter with the sensitivity of 91.7% and the specificity of 83.0%. CONCLUSIONS WIC score, SOFA score combined with serum PCT level can improve the accuracy of predicting the 28-day prognosis in patients with sepsis.
Humans ; Intensive Care Units ; Organ Dysfunction Scores ; Procalcitonin/metabolism* ; Prognosis ; Prospective Studies ; ROC Curve ; Retrospective Studies ; Sepsis/metabolism*