Résumé
Purpose:@#Sepsis is a common acute life-threatening condition that emergency physicians routinely face. Diagnostic options within the Emergency Department (ED) are limited due to lack of infrastructure, consequently limiting the use of invasive hemodynamic monitoring or imaging tests. The mortality rate due to sepsis can be assessed via multiple scoring systems, for example, mortality in emergency department sepsis (MEDS) score and sepsis patient evaluation in the emergency department (SPEED) score, both of which quantify the variation of mortality rates according to clinical findings, laboratory data, or therapeutic interventions. This study aims to improve the management processes of sepsis patients by comparing SPEED score and MEDS score for predicting the 28-day mortality in cases of emergency sepsis.@*Methods:@#The study is a cross-sectional, prospective study including 61 sepsis patients in ED in Suez Canal University Hospital, Egypt, from August 2017 to June 2018. Patients were selected by two steps: (1) suspected septic patients presenting with at least one of the following abnormal clinical findings: (a) body temperature higher than 38℃ or lower than 36℃, (b) heart rate higher than 90 beats/min, (c) hyperventilation evidenced by respiratory rate higher than 20 breaths/min or PaCO2 lower than 32 mmHg, and (d) white blood cell count higher than 12,000/μL or lower than 4000/μL; (2) confirmed septic patients with at least a 2-point increase from the baseline total sequential organ failure assessment (SOFA) score following infection. Other inclusion criteria included adult patients with an age ≥18 years regardless of gender and those who had either systemic inflammatory response syndrome or suspected/confirmed infection. Patients were shortly follow-up for the 28-day mortality. Each patient was subject to SPEED score and MEDS score and then the results were compared to detect which of them was more effective in predicting outcome. The receiver operating characteristic curves were also done for MEDS and SPEED scores.@*Results:@#Among the 61 patients, 41 died with the mortality rate of 67.2%. The mortality rate increased with a higher SPEED and MEDS scores. Both SPEED and MEDS scores revealed significant difference between the survivors and nonsurvivors (p = 0.004 and p < 0.001, respectively), indicating that both the two systems are effective in predicting the 28-day mortality of sepsis patients. Thereafter, the receiver operating characteristic curves were plotted, which showed that SPEED was better than the MEDS score when applied to the complete study population with an area under the curve being 0.87 (0.788-0.963) as compared with 0.75 (0.634-0.876) for MEDS. Logistic regression analysis revealed that the best fitting predictor of 28-day mortality for sepsis patients was the SPEED scoring system. For every one unit increase in SPEED score, the odds of 28-day mortality increased by 37%.@*Conclusion:@#SPEED score is more useful and accurate than MEDS score in predicting the 28-day mortality among sepsis patients. Therefore SPEED rather than MEDS should be more widely used in the ED for sepsis patients.
Résumé
Objective To evaluate the value of urine neutrophil gelatinase-associated lipocalin (NGAL) combined with mortality in emergency department sepsis (MEDS) score in evaluating the severity and prognosis of sepsis patients with acute kidney injury (AKD. Methods A total of 64 septic patients were selected from the intensive care unit of emergency department of Shanghai Seventh People’s Hospital, and they were treated from January 2013 to December 2015. According to the AKI diagnostic criteria of Kidney Disease; Improving Global Outcomes (KDIGO), the patients were divided into group AKI1 (21 cases), group AKI2 (24 cases) and group AKI (19 cases). The patients were also divided into death group (33 cases) and survival group (31 cases) according to their survival slate within 28 days. The urinary NGAL levels and MEDS score were compared between groups of different AKI stages and different survival slates. ROC curves were plotted to assess the predictive abilities of urine NGAL, MEDS score and the combination of both for the 28 day mortality of sepsis patients with AKI, with Youden index used to identify the optimal cut-off value. Results The urinary NGAL level and MEDS score in the three groups of different stages gradually increased with the severity of the disease, showing significant difference (P<0. 01). We also found that NGAL level and MEDS score in the death group were significantly higher than those in the survival group (P<0. 01). ROC curve analysis showed that the areas under the curve (AUC) of urinary NGAL and MEDS score were 0. 885 and 0. 841, respectively, with the optimal cut-off values being 157. 5 ng/mL and 10. 5 points, respectively. The AUC of urinary NGAL combined with MEDS score for predicting 28 day fatality rate was 0. 936, with the sensitivity being 91. 4% and specificity being 89. 2%, which were better than using urinary NGAL or MEDS score alone. Conclusion Both urine NGAL and MEDS score can be used as for predicting severity of sepsis patients with AKI. and the combination use of the two has even a greater value for the prognosis.
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Objective To investigate the power of the simplified acute physiology score Ⅲ ( SAPSⅢ) for prediction of outcome for patients with severe sepsis admitted to the intensive care unit ( ICU ). Methods A retrospective study was conducted. 677 severe sepsis patients with age ≥ 18 years old and the survival time in emergency ICU≥24 hours admitted to the emergency ICU of Beijing Chaoyang Hospital Affiliated to Capital Medical University from January 2008 to December 2011 were enrolled. The acute physiology and chronic health evaluationⅡ ( APACHEⅡ), sequential organ failure assessment ( SOFA ), SAPSⅡ, SAPSⅢ, and mortality in emergency department sepsis ( MEDS ) scores were recorded based on the poorest value within 24 hours of ICU admission. The 28-day result as denoted as survival or death was considered as the end point of the study. The ability to predict mortality by the score systems was assessed by using receiver operating characteristic ( ROC ) curve analysis and binary logistic regression models. Results Among the 677 patients with severe sepsis, 284 cases died within 28 days after admission, and the mortality rate was 41.9%. Compared with survivors, the patients in non-survival group was older with higher APACHEⅡ, SOFA, SAPSⅡ, SAPSⅢ, and MEDS scores and higher ratio of underlying diseases, such as primary hypertension and renal dysfunction, and they had more organ injury, higher ratio of lung infection and bacterial infection ( P 0.05 ). The MEDS score in predicting the prognosis was obviously better than that of APACHEⅡ, SOFA, SAPSⅡ, and SAPSⅢscores ( all P<0.05 ). The MEDS score showed the best sensitivity ( 91.5%), and specificity ( 89.1%). The 28-day mortality in cases of MEDS≥11 was 85.8%. Conclusions ①For patients with severe sepsis who were admitted to ICU, MEDS was superior to APACHEⅡ, SOFA, SAPSⅡ, and SAPSⅢscores in predicting prognosis. MEDS≥11 may indicate a higher mortality rate.②SAPSⅢscore has comparable predictive capability with APACHEⅡ, SOFA and SAPSⅡscores may be recommended for prediction of the prognosis of patients with severe sepsis in ICU. But the SAPSⅢscore is unsuitable for predicting the prognosis of patients with acute sepsis in ICU options, and it is not superior to that of SAPSⅢscore in predicting prognosis of patients with sepsis in the emergency ICU than other score systems.
Résumé
ObjectiveTo assess the sepsis score used for detecting the mortality of patients with sepsis in emergency department, and to compare with APACHE Ⅱ score, simplified acute physiology Ⅱ score ( SAPS Ⅱ ) and modified early warning score (MEWS) in terms of 28-day mortality of patients. Methods A total of 613 patients with sepsis were enrolled from the emergency department for a prospective study from September 2009 to September 2010. The sepsis score, APACHE Ⅱ score, SAPS Ⅱ score and MEWS score all were recorded and compared. The patients with sepsis were followed up for 28 days. Based on the sepsis score, patients with sepsis were stratified into 5 mortality risk groups, namely very low risk group (0～4 points), low risk group (5 ～7 paints), moderate risk group (8 ～ 12 points), high risk group ( 13 ～ 15points) and very high risk group (more than 15 points). The actual mortality rates were compared among all 5 groups by using Chi square test. Then, comparison between survivors and non-survivors carried out with logistic regression analysis to determine the independent risk factors of mortality.Receiver operating characteristic curve (ROC curve) was used to compare the sepsis score with APACHE Ⅱ score, SAPS Ⅱscore and MEWS in respect of the prognosis validity. ResultsTen patients were out of the follow-up and the data of 603 patients followed up were completely documented. The actual mortality rates of 5 risk groups were 0％, 7.7％, 18.5％, 46. 7％ and 63％, respectively. There were significant differences in age and four scoring systems between survivors ( n = 440) and non-survivors ( n = 163 ) ( P ＜ 0. 01 ). Sepsis score,APACHE Ⅱ score, SAPS Ⅱ and MEWS all were valid and eligible for detecting the risk of mortality in patients with sepsis. The ROC areas under the curve (AUC) of these 4 scoring systems were 0. 767, 0. 743,0. 741 and 0. 636, respectively. ConclusionsThe sepsis score can be used to stratify patients with sepsis according to mortality risk with better sensitivity to predict 28-day mortality. It is rational for evaluation in prediction of patients with sepsis in Emergency Department.