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

OBJECTIVE: To explore the predictive value of acute physiology and chronic health evaluation II (APACHE II), sequential organ failure assessment (SOFA), quick sequential organ failure assessment (qSOFA) and modified early warning score (MEWS) in evaluating the prognosis of patients in intensive care unit (ICU) of secondary hospitals, and to provide guidance for clinical application. METHODS: The clinical data of adult critical patients admitted to the ICU of Wanzhou District First People's Hospital from October 2022 to April 2023 were retrospectively analyzed. According to the clinical outcome of ICU, the patients were divided into improvement group and death group. The general information, blood routine, heart, liver and kidney function indicators, coagulation indicators, blood gas analysis, APACHE II score, SOFA score, qSOFA score, MEWS score at the time of admission to the ICU, the number of cases of invasive mechanical ventilation (IMV) and continuous blood purification (CBP) were compared between the two groups. Univariate analysis was performed, and multivariate Logistic regression analysis was used to analyze the related factors of death. Receiver operator characteristic curve (ROC curve) was used to analyze the predictive value of the four scores in ICU patients. RESULTS: A total of 126 patients were included, of which 45 patients died in the ICU and 81 patients improved and transferred out. Univariate analysis of death-related critically ill patients showed that procalcitonin (PCT), serum creatinine (SCr), blood urea nitrogen (BUN), albumin (ALB), prothrombin time (PT), activated partial prothrombin time (APTT), D-dimer, pH value, HCO₃^-, blood lactic acid (Lac), number of patients treated with IMV and CBP, APACHE II score, SOFA score, qSOFA score and MEWS score were significantly different between the two groups (all P < 0.05). Multivariate Logistic regression analysis showed that the APACHE II score [odds ratio (OR) = 1.115, 95% confidence interval (95%CI) was 1.025-1.213, P = 0.011], SOFA score (OR = 1.204, 95%CI was 1.037-1.398, P = 0.015), MEWS score (OR = 1.464, 95%CI was 1.102-1.946, P = 0.009), and APTT (OR = 1.081, 95%CI was 1.015-1.152, P = 0.016) were independent risk factors affecting the mortality of critically ill patients in the ICU. ROC curve analysis showed that APACHE II, SOFA, qSOFA, and MEWS scores could predict the prognosis of critically ill ICU patients, among which SOFA score had the strongest predictive effect, and the area under the curve (AUC) was 0.808. There was a statistically significant difference in the time required for the four scores (F = 117.333, P < 0.001), among which the MEWS scoring required the shortest time [(1.03±0.39) minutes], and the APACHE II scoring required the longest time [(2.81±1.04) minutes]. CONCLUSIONS APACHE II, SOFA, qSOFA, and MEWS scores can be used to assess the severity of critically ill patients and predict in-hospital mortality. The SOFA score is superior to other scores in predicting severity. The MEWS is preferred because its assessment time is shortest. Early warning score can help secondary hospitals to detect potentially critical patients early and provide help for clinical rapid urgent emergency decision-making.
Adult ; Humans ; Sepsis/diagnosis* ; ROC Curve ; Retrospective Studies ; Critical Illness ; Early Warning Score ; Organ Dysfunction Scores ; Intensive Care Units ; Prognosis ; Hospitals

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

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

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

To determine expression levels of glial fibrillary acidic protein in patients of sepsis-associated encephalopathy (SAE) and its clinical significance.
 Methods: Patients, admitted to intensive care units and diagnosed as sepsis, were recruited to our study from October 2016 to August 2018 in the Third Xiangya Hospital, Central South University. SAE is defined as a brain dysfunction secondary to sepsis and without evidence of a primary central nervous system infection or encephalopathy due to other reasons. The SAE group and non-SAE group were classed by Confusion Assessment Method for the ICU (CAM-ICU) score. We measured the levels of serum GFAP, S100β and neuron-specific enolase (NSE) within 24 hours after diagnosis of sepsis, and compared the patients' general clinical data, ICU stay time, 28-day and 180-day mortality.
 Results: Among 152 enrolled patients, 58 and 94 were assigned to the SAE group and the non-SAE group, respectively. There were a significantly higher Sequential Organ Failure Assessment (SOFA) scores, 28-day mortality rate, as well as 180-day mortality rate in the SAE group (all P<0.001). The levels of GFAP, NSE and S100β in the SAE group were significantly higher than those in the non-SAE group (all P<0.001). The diagnostic values of GFAP was 0.67 μg/L, with sensitivity at 75.9% and specificity at 77.7%. Area under the receiver operating characteristic curve (AUROC) of GFAP, NSE and S100β were 0.803, 0.795 and 0.750, respectively. Pearson analysis showed that serum GFAP level was positively correlated with Acute Physiology and Chronic Health Evaluation II (APACHE II) score, but it was negatively correlated with Glasgow Coma Scale (GCS) score, 28-day survival rate and 180-day survival rate.
 Conclusion: The level of serum GFAP is significantly increased in SAE, which shows certain correlation with incidence, severity and prognosis of the disease.
APACHE ; Glial Fibrillary Acidic Protein ; blood ; Humans ; Intensive Care Units ; Organ Dysfunction Scores ; Prognosis ; ROC Curve ; Sepsis ; Sepsis-Associated Encephalopathy ; diagnosis

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

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*

BACKGROUND: Carbapenem-resistant Acinetobacter baumannii (CRAB) infection is associated with high mortality. One of the strategies to reduce the mortality in patients with CRAB infections is to use intravenous colistin early but the effect of this strategy has not been proven. Therefore, we investigated the association of early colistin therapy with 28-day mortality in patients with CRAB bacteremia. METHODS: This retrospective multicenter propensity score-matching analysis was conducted in the Korea by reviewing the medical records of adult patients with CRAB bacteremia between January 2012 and March 2015. Early colistin therapy was defined as intravenous colistin administration for > 48 hours within five days after the blood culture collection. To identify the risk factors associated with the 28-day mortality in CRAB bacteremia, the clinical variables of the surviving patients were compared to those of the deceased patients. RESULTS: Of 303 enrolled patients, seventy-six (25.1%) patients received early colistin therapy. The 28-day mortality was 61.4% (186/303). Fatal or rapidly-fatal McCabe classifications, intensive care unit admission, Sequential Organ Failure Assessment scores ≥ 8, vasopressor use, and acute kidney injury were statistically independent poor prognostic factors. Catheter-related infection and early colistin therapy (adjusted odds ratio [aOR], 0.45; 95% confidence interval [CI], 0.21–0.94) were independent favorable prognostic factors associated with 28-day mortality in patients with CRAB bacteremia. Early colistin therapy was still significantly associated with lower 28-day mortality in the propensity score-matching analysis (aOR, 0.31; 95% CI, 0.11–0.88). CONCLUSION: This study suggests that early colistin therapy might help reduce the mortality of patients with CRAB bacteremia.
Acinetobacter ; Acinetobacter baumannii ; Acute Kidney Injury ; Adult ; Bacteremia ; Catheter-Related Infections ; Classification ; Colistin ; Humans ; Intensive Care Units ; Korea ; Medical Records ; Mortality ; Odds Ratio ; Organ Dysfunction Scores ; Retrospective Studies ; Risk Factors

OBJECTIVE: Community-acquired pneumonia (CAP) is a major cause of sepsis, and sepsis-related acute organ dysfunction affects patient mortality. Although the quick Sequential Organ Failure Assessment (qSOFA) is a new screening tool for patients with suspected infection, its predictive value for the mortality of patients with CAP has not been validated. Lactate concentration is a valuable biomarker for critically ill patients. Thus, we investigated the predictive value of qSOFA with lactate concentration for in-hospital mortality in patients with CAP in the emergency department (ED).METHODS: From January 2015 to June 2015, 443 patients, who were diagnosed with CAP in the ED, were retrospectively analyzed. We defined high qSOFA or lactate concentrations as a qSOFA score ≥2 or a lactate concentration >2 mmol/L upon admission at the ED. The primary outcome was all-cause in-hospital mortality.RESULTS: Among the 443 patients, 44 (9.9%) died. Based on the receiver operating characteristic (ROC) analysis, the areas under the curves for the prediction of mortality were 0.720, 0.652, and 0.686 for qSOFA, CURB-65 (confusion, urea, respiratory rate, blood pressure, and age), and Pneumonia Severity Index, respectively. The area under the ROC curve of qSOFA was lower than that of SOFA (0.720 vs. 0.845, P=0.004). However, the area under the ROC curve of qSOFA with lactate concentration was not significantly different from that of SOFA (0.828 vs. 0.845, P=0.509). The sensitivity and specificity of qSOFA with lactate concentration were 71.4% and 83.2%, respectively.CONCLUSION: qSOFA with lactate concentration is a useful and practical tool for the early prediction of in-hospital mortality among patients with CAP in the ED.
Blood Pressure ; Critical Illness ; Emergencies ; Emergency Service, Hospital ; Hospital Mortality ; Humans ; Lactic Acid ; Mass Screening ; Mortality ; Organ Dysfunction Scores ; Pneumonia ; Respiratory Rate ; Retrospective Studies ; ROC Curve ; Sensitivity and Specificity ; Sepsis ; Urea