Value of continuous video EEG and EEG responses to thermesthesia stimulation in prognosis evaluation of comatose patients after cardiopulmonary resuscitation

AbstractObjectiveTo investigate the clinical value of video-electroencephalography (VEEG) and thermal stimulus on evaluating the prognosis of comatose patients after cardiopulmonary resuscitation.MethodsTwenty eight comatose patients with cardiopulmonary resuscitation were included in the department of ICU of the First Teaching Hospital of Fujian Medical University from February 2013 to March 2016. Of the included 28 patients, 20 cases died (death group) and 8 cases survived (survival group) after cardiopulmonary resuscitation. The VEEG, Glasgow Coma Scale (GCS) and APACHE II score were recorded and compared between the death and survival group. The prediction value of death for VEEG, GCS and APACHE II were evaluated through sensitivity, specificity and area under the receiver operating characteristic (ROC) curve (AUC).ResultsGCS and APACHEH II score were statistical different between the death and survival group (P<0.05). With the increase of VEEG grading, the mortality rate of patients increased significantly (P<0.05). Predicting value of mortality for GCS, VEEG and APACHEH II were 57.69%, 61.54% and 71.43% respectively without statistical difference (P>0.05). The death prediction sensitivity and specificity for GCS were 67.0% and 85.0%, for APACHEH II were 95.1% and 85.0%, for VEEG were 100.0% and 85.2%. VEEG has the highest sensitivity, Specificity, coincidence rate and Kappa vale compared to GCS, and APACHEH II.ConclusionVideo-electroencephalography is a useful tool for predicting the death risk for patients who received cardiopulmonary resuscitation.

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Factors Influencing Prognosis of Patients with Intra-Abdominal Infection and Its Value in Assessing Prognosis

10.21203/rs.3.rs-127679/v1 ◽

2020 ◽

Author(s):

Jianfei Pan ◽

Quanwei Zhu ◽

Xiao Wu ◽

Xiaoqian Zhang ◽

Jun Xu ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Prognostic Factors ◽

Apache Ii ◽

Apache Ii Score ◽

Spearman Correlation ◽

Survival Group ◽

Abdominal Infection ◽

Intra Abdominal Infection ◽

Death Group

Abstract Background: To explore the distribution of pathogenic bacteria in patients with intra-abdominal infection, to clarify the independent factors that affect the prognosis of patients with intra-abdominal infection and its evaluation value for prognosis. Methods The pathogens, underlying diseases and related clinical data of patients with intra-abdominal infection from January 2012 to December 2019 in our hospital were retrospectively collected and the APACHE II score was calculated. The patients were divided into survival group and death group according to the prognosis, and the index between the two groups were compared. Spearman correlation analysis was used to evaluate the correlation between each index and prognosis, multivariate Logistic regression analysis was used to screen the independent prognostic factors. Results 282 patients were included in the study, including 183 males and 99 females, aged 56.99 ± 15.34 years. The survival group was 218cases, the death group was 64 cases, the total intra-abdominal infection mortality was 22.70%. There were significant differences between the two groups in age, serum albumin level, APACHE II score, basic cardiovascular disease and diabetes mellitus (P <0.05). Spearman correlation analysis showed that ALB level was negatively correlated with prognosis, age and APACHE II score were positively correlated with prognosis. Logistic regression analysis showed that age, ALB level and APACHE II score were independent prognostic factors. The area under the curve of the age, ALB level, APACHE II score and these three combined to assess the prognosis were 0.624, 0.698, 0.807 and 0.842 respectively. the sensitivity was 56.30%, 57.80%, 79.70% and 89.10% respectively, and the specificity was 69.30%, 75.20%, 68.80% and 65.10%, respectively. The formula of age combined ALB level and APACHE II score was Y= X1-3.6X2+6.5X3 (X1 was the age, X2 was the ALB level and X3 was the APACHE II score), Y was positively correlated with poor prognosis, and the optimal cutoff value was Y = 40.96. Conclusions Age, ALB level and APACHE II score are independent factors which influencing the prognosis of patients with intra-abdominal infection, and the combination of age, ALB level and APACHE II score can better assess the prognosis of patients with intra-abdominal infection.

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Serum Soluble Triggering Receptor Expressed on Myeloid Cells-1 and Procalcitonin Can Reflect Sepsis Severity and Predict Prognosis: A Prospective Cohort Study

Mediators of Inflammation ◽

10.1155/2014/641039 ◽

2014 ◽

Vol 2014 ◽

pp. 1-7 ◽

Cited By ~ 12

Author(s):

Zhenyu Li ◽

Hongxia Wang ◽

Jian Liu ◽

Bing Chen ◽

Guangping Li

Keyword(s):

Sofa Score ◽

Prognostic Significance ◽

Elevated Serum ◽

Myeloid Cells ◽

Serum Levels ◽

Clinical Severity ◽

Apache Ii ◽

Apache Ii Score ◽

Survival Group ◽

Severity Scores

Objective. To investigate the prognostic significance of serum soluble triggering receptor expressed on myeloid cells-1 (sTREM-1), procalcitonin (PCT), N-terminal probrain natriuretic peptide (NT-pro-BNP), C-reactive protein (CRP), cytokines, and clinical severity scores in patients with sepsis.Methods. A total of 102 patients with sepsis were divided into survival group (n=60) and nonsurvival group (n=42) based on 28-day mortality. Serum levels of biomarkers and cytokines were measured on days 1, 3, and 5 after admission to an ICU, meanwhile the acute physiology and chronic health evaluation II (APACHE II) and sequential organ failure assessment (SOFA) scores were calculated.Results. Serum sTREM-1, PCT, and IL-6 levels of patients in the nonsurvival group were significantly higher than those in the survival group on day 1 (P<0.01). The area under a ROC curve for the prediction of 28 day mortality was 0.792 for PCT, 0.856 for sTREM-1, 0.953 for SOFA score, and 0.923 for APACHE II score. Multivariate logistic analysis showed that serum baseline sTREM-1 PCT levels and SOFA score were the independent predictors of 28-day mortality. Serum PCT, sTREM-1, and IL-6 levels showed a decrease trend over time in the survival group (P<0.05). Serum NT-pro-BNP levels showed the predictive utility from days 3 and 5 (P<0.05).Conclusion. In summary, elevated serum sTREM-1 and PCT levels provide superior prognostic accuracy to other biomarkers. Combination of serum sTREM-1 and PCT levels and SOFA score can offer the best powerful prognostic utility for sepsis mortality.

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Value of Neutrophil to Lymphocyte Ratio, Platelet to Lymphocyte Ratio, and Red Blood Cell Distribution Width in Evaluating the Prognosis of Children with Severe Pneumonia

Evidence-based Complementary and Alternative Medicine ◽

10.1155/2021/1818469 ◽

2021 ◽

Vol 2021 ◽

pp. 1-8

Author(s):

Xuejiao Qi ◽

Yihui Dong ◽

Xiaojie Lin ◽

Wencheng Xin

Keyword(s):

Risk Factors ◽

Severe Pneumonia ◽

Apache Ii Score ◽

Cell Distribution ◽

Platelet To Lymphocyte Ratio ◽

Survival Group ◽

Distribution Width ◽

Lymphocyte Ratio ◽

Death Group ◽

Red Blood Cell Distribution

Objective. To investigate the value of neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and red blood cell distribution width (RDW) in evaluating the prognosis of children with severe pneumonia (SP). Methods. A retrospective analysis of the data of 91 children with SP admitted to our hospital from March 2018 to March 2021. According to the survival status after 28 days of treatment, all children were divided into the survival group (n = 59) and the death group (n = 32). The clinical data and laboratory indicators of the patients were recorded. Multivariate logistic regression was used to analyze the risk factors of prognosis, and the ROC curve was used to analyze the predictive value of each index. Results. The Acute Physiology and Chronic Health Evaluation II (APACHE II) score and CURB-65 score of the death group were higher than those of the survival group ( P < 0.05 ). The RDW, NLR, PLR, and high-sensitivity C-reactive protein, procalcitonin blood lactic acid (Lac) of the death group, were higher than those of the survival group, and LYM was lower than the survival group ( P < 0.05 ). Multivariate regression analysis showed that APACHE II score, RDW, NLR, PLR, and Lac were all independent risk factors for poor prognosis in children with SP ( P < 0.05 ). The AUC of NLR, PLR, and RDW for evaluating the prognosis of children with SP were 0.798, 0.781, and 0.777, respectively. The sensitivity was 56.25%, 90.63%, and 56.25%, respectively, and the specificity was 89.83%, 55.93%, and 91.53%, respectively. The AUC of NLR, PLR, and RDW combined to evaluate the prognosis of children with SP was 0.943. When the best cut-off value was 0.8528, the sensitivity was 93.75%, and the specificity was 91.53%. Conclusion. NLR, PLR, and RDW have certain predictive value for the prognosis of children with SP; the combination of the three indicators has a higher value in evaluating the prognosis of children with SP, which can better guide the prognostic treatment.

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Clinical Phenotypes from Fatal Cases of Acute Respiratory Distress Syndrome Caused by Pneumonia

10.21203/rs.3.rs-316481/v1 ◽

2021 ◽

Author(s):

Kazuya Ichikado ◽

Kodai Kawamura ◽

Takeshi Johkoh ◽

Kiminori Fujimoto ◽

Ayumi Shintani ◽

...

Keyword(s):

Acute Respiratory Distress Syndrome ◽

Respiratory Distress Syndrome ◽

Respiratory Distress ◽

Distress Syndrome ◽

Early Death ◽

Apache Ii ◽

Apache Ii Score ◽

Late Death ◽

Clinical Phenotypes ◽

Death Group

Abstract Background: The COVID-19 pandemic has renewed interest and discussion about clinical phenotypes of acute respiratory distress syndrome (ARDS). Since the Berlin definition, various clinical disease courses with fatal outcome have been described but early objective indicators predicting distinct clinical courses have remained elusive. Objectives: Identify clinically available predictors that distinguish between two phenotypes of fatal ARDS due to pneumonia.Methods: 104 Japanese patients with pneumonia induced ARDS were extracted from our prospectively collected database. Fatal cases were divided into early (< 7 days after diagnosis) and late death (≥ 7 days) groups and their clinical variables and prognostic factors were statistically evaluated.Results: Of 50 cases, fatal within 180 days, 18 (36%) comprised the early death group (median 2 days, IQR [1, 5]) and 32 (64%), the late death group (median 16 days, IQR [13, 29]). Multivariate regression analyses showed APACHE II score (HR 1.14, 95%CI 1.01-1.28, p 0.047) was the only independent prognostic factor for early death. Late deaths were associated with disseminated intravascular coagulation score (HR 1.30, 95%CI 1.07-1.58, p 0.007), culture sensitivity to initial antimicrobials (HR 3.42, 95%CI 1.86-6.29, p <0.0001), and high-resolution computed tomography (HRCT) score indicating early fibroproliferation. ROC analyses estimated a late death propensity score for HRCT score ≥ 211, of 5.42 (95%CI 1.54–19.12; p 0.008).Conclusions: The extent of fibroproliferation on HRCT, along with coagulation abnormalities and APACHE II scores, should be considered for use in predictive trial enrichment and personalized medicine for patients with ARDS due to pneumonia.

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Efficacy of Various Scoring Systems for Predicting the 28-Day Survival Rate among Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease Requiring Emergency Intensive Care

Canadian Respiratory Journal ◽

10.1155/2017/3063510 ◽

2017 ◽

Vol 2017 ◽

pp. 1-8 ◽

Cited By ~ 4

Author(s):

Zhihong Feng ◽

Tao Wang ◽

Ping Liu ◽

Sipeng Chen ◽

Han Xiao ◽

...

Keyword(s):

Heart Failure ◽

Chronic Obstructive Pulmonary Disease ◽

Scoring Systems ◽

Apache Ii ◽

Chronic Obstructive ◽

Survival Group ◽

Obstructive Pulmonary Disease ◽

Saps Ii ◽

Severity Of Disease ◽

Death Group

We aimed to investigate the efficacy of four severity-of-disease scoring systems in predicting the 28-day survival rate among patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) requiring emergency care. Clinical data of patients with AECOPD who required emergency care were recorded over 2 years. APACHE II, SAPS II, SOFA, and MEDS scores were calculated from severity-of-disease indicators recorded at admission and compared between patients who died within 28 days of admission (death group; 46 patients) and those who did not (survival group; 336 patients). Compared to the survival group, the death group had a significantly higher GCS score, frequency of comorbidities including hypertension and heart failure, and age (P<0.05 for all). With all four systems, scores of age, gender, renal inadequacy, hypertension, coronary heart disease, heart failure, arrhythmia, anemia, fracture leading to bedridden status, tumor, and the GCS were significantly higher in the death group than the survival group. The prediction efficacy of the APACHE II and SAPS II scores was 88.4%. The survival rates did not differ significantly between APACHE II and SAPS II (P=1.519). Our results may guide triage for early identification of critically ill patients with AECOPD in the emergency department.

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Expression of peripheral blood monocyte human leukocyte antigen DR in patients with cardiac arrest and its clinical significance

Hong Kong Journal of Emergency Medicine ◽

10.1177/1024907918803503 ◽

2018 ◽

Vol 27 (1) ◽

pp. 3-7

Author(s):

Junli Zhang ◽

Yanjuan Wang ◽

Wei Gu

Keyword(s):

Cardiac Arrest ◽

Human Leukocyte Antigen ◽

Immune Function ◽

Clinical Significance ◽

Human Leukocyte ◽

The Body ◽

Apache Ii ◽

Survival Group ◽

Leukocyte Antigen ◽

Death Group

Background: In the early period of spontaneous circulation (ROSC), the body may show severe immunosuppression and excessive activation of inflammatory response, This is very similar to sepsis in many ways. Objective: The aim of this study is to observe changes of the early expression of monocyte human leukocyte antigen DR in patients with cardiac arrest, so as to explore the clinical significance of the related immune assessment and prognosis prediction. Methods: A total of 43 patients with cardiac arrest who have been treated in the emergency department of Beijing Chaoyang Hospital from January 2015 to February 2018 are selected. By taking the survival rate on the 28th day of hospitalization as the end of observation, the patients are divided into the survival group and the death group. Changes of APACHE-II scores and monocyte human leukocyte antigen DR levels on the first, second, and third day after admission are analyzed. Results: On the first, second, and third day after onset, cardiac arrest patients show significantly decreased levels of monocyte human leukocyte antigen DR which are obviously lower in the death group than in the survival group. In addition, human leukocyte antigen DR levels were significantly negatively correlated with APACHE-II scores. Conclusion: The expression of monocyte human leukocyte antigen DR is proven to be an ideal indicator to evaluate the immune function and prognosis of cardiac arrest patients. A constantly low expression of human leukocyte antigen DR indicates impaired immune function and increased mortality of patients.

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1061. Comparison of the Acute Physiology and Chronic Health Evaluation (APACHE) II Score and the Pitt Bacteremia Score to Predict Mortality in Methicillin-Resistant Staphylococcus aureus Bacteremia

Open Forum Infectious Diseases ◽

10.1093/ofid/ofy210.898 ◽

2018 ◽

Vol 5 (suppl_1) ◽

pp. S317-S318 ◽

Cited By ~ 1

Author(s):

Sarah Jorgensen ◽

Evan J Zasowski ◽

Trang D Trinh ◽

Abdalhamid M Lagnf ◽

Sahil Bhatia ◽

...

Keyword(s):

Staphylococcus Aureus ◽

Predictive Value ◽

Methicillin Resistant Staphylococcus Aureus ◽

Apache Ii ◽

Apache Ii Score ◽

Health Evaluation ◽

Research Support ◽

C Statistic ◽

Sensitivity Specificity ◽

Research Grant

Abstract Background Methicillin-resistant Staphylococcus aureus bloodstream infection (MRSA BSI) is associated with high morbidity and mortality. The prediction of outcomes may have a profound impact on clinical decision making and risk stratification. The Acute Physiology and Chronic Health Evaluation (APACHE) II Score and the Pitt Bacteremia Score (PBS) have been repeatedly described as independent predictors of mortality in MRSA BSI. The APACHE II is complex to calculate and many of the variables may not be pertinent to MRSA BSI. The PBS is a simple score using readily assessable variables. The comparative predictive performance of the two models in MRSA BSI has not been evaluated. Methods Retrospective, observational, singe-center cohort study in adults with MRSA BSI between 2008 and 2018. Patients who did not receive active therapy ≤72 hours of index culture were excluded. APACHE II and PBS were calculated using the worst physiological values recorded ≤24 hours of blood culture collection. Discriminatory ability for 30-day mortality was assessed using the c-statistic and was compared using the Hanley and McNeil method. The best cut-off point in each scoring system was determined using the Youden Index (J). Results A total of 455 patients were included. The median (IQR) PBS and APACHE II were 2 (0, 3) and 18 (11, 23), respectively. All-cause 30-day mortality was 16.3%. The c-statistic (95% CI) for the APACHE II vs. PBS in the overall cohort and stratified by ICU status were: 0.813 (0.763, 0.863) vs. 0.717 (0.653, 0.782), P = 0.0035; ICU 0.729 (0.610, 0.848) vs. 0.570 (0.442, 0.699), P = 0.026; and non-ICU 0.821 (0.761, 0.881) vs. 0.700 (0.614, 0.786),P = 0.0046, respectively. The APACHE II with the maximum J value was 21; sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for 30-day mortality were 81.08%, 72.97%, 36.81%, and 95.21%, respectively. The PBS with the maximum J value was 3; sensitivity, specificity, PPV, and NPV were 66.22%, 72.18%, 31.61%, and 91.67%, respectively. Conclusion The APACHE II was superior to the PBS in predicting 30-mortality in patients with MRSA BSI in the overall cohort and stratified by ICU status at BSI onset. Future research to develop a more practical scoring model with high discriminatory power is needed. Disclosures M. J. Rybak, Allergan: Consultant, Grant Investigator and Speaker’s Bureau, Research grant and Research support. Achaogen: Consultant, Grant Investigator and Speaker’s Bureau, Consulting fee, Research grant and Research support. Bayer: Consultant, Grant Investigator and Speaker’s Bureau, Consulting fee, Research grant and Research support. Melinta: Consultant, Grant Investigator and Speaker’s Bureau, Consulting fee, Research grant and Research support. Merck: Consultant, Grant Investigator and Speaker’s Bureau, Consulting fee, Research grant and Research support. Theravance: Consultant, Grant Investigator and Speaker’s Bureau, Consulting fee, Research grant and Research support. Sunovian: Consultant, Grant Investigator and Speaker’s Bureau, Consulting fee, Research grant and Research support. Zavante: Consultant, Grant Investigator and Speaker’s Bureau, Consulting fee, Research grant and Research support. NIAID: Consultant, Grant Investigator and Speaker’s Bureau, Consulting fee, Research grant and Research support.

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Predictive accuracy of APACHE II score in predicting mortality in poly Trauma patients.

The Professional Medical Journal ◽

10.29309/tpmj/2021.28.12.6852 ◽

2021 ◽

Vol 28 (12) ◽

pp. 1752-1757

Author(s):

Ibtisam Ahmed Khan ◽

Muhammad Kareem Ullah ◽

Saeed Mahmood ◽

Adnan Sadiq Butt ◽

Naeem Sarwar ◽

...

Keyword(s):

Hospital Mortality ◽

Diagnostic Accuracy ◽

Predictive Accuracy ◽

Treatment Plan ◽

Apache Ii ◽

Apache Ii Score ◽

Mortality Data ◽

Trauma Patients ◽

Efficient Treatment ◽

Sensitivity Specificity

Objective: To find diagnostic precision of APACHE II score in predicting mortality in poly Trauma patients within first 24 hours of hospitalization. Study Design: Cross Sectional study. Setting: Emergency Department of Lahore General Hospital. Period: 2018-2019. Materials & Methods: A total of 270 patients who fulfilled selection criteria were enrolled in the study. To calculate APACHE II score, age, vitals, CBC level, Glasgow coma scale score and chronic health points were measured. Patients were classified as per their APACHE II score. After calculating APACHE II score patients were managed according to trauma severity and followed up till 24 hours to note the mortality. Data was analyzed in SPSS v. 20. Results: The mean age of patients was 38.53 ± 11.67 years with 173(63.91%) male and 97(36.09%) were female patients. Out of 270 cases, in hospital mortality occurred in 99(36.5%) while other 171(63.5%) were alive within 24 hours of admission. According to APACHE II score, 99(36.5%) cases had > 11.5 score and rests of 171(63.5%) had APACHE II ≤ 11.5. The sensitivity, specificity, PPV, NPV and diagnostic accuracy of APACHE II was 89.16%, 93.2%, 88.1%, 93.84% and 91.74%. Conclusion: According to this study, high accuracy of APACHE II for prediction of in-hospital mortality with high sensitivity, specificity, PPV, NPV and diagnostic accuracy as 89.16%, 93.2%, 88.1%, 93.84% and 91.74%. Using APACHE II in future we can devise an efficient treatment plan for poly trauma patients to reduce the probability of hospital mortality.

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A Comparative Study between Bedside Index for Severity in Acute Pancreatitis (BISAP) and Acute Physiology and Chronic Health Evaluation (APACHE-II) Scoring System in Assessing the Severity of Acute Pancreatitis at Bangalore Medical College and Research Institute, Bangalore, India

Journal of Evidence Based Medicine and Healthcare ◽

10.18410/jebmh/2021/594 ◽

2021 ◽

Vol 8 (36) ◽

pp. 3269-3275

Author(s):

Akhila Nallur Theerthegowda ◽

Pavithra Umashankar ◽

Nagashri Suresh Iyer

Keyword(s):

Health Care ◽

Acute Pancreatitis ◽

Positive Predictive Value ◽

Predictive Value ◽

Scoring System ◽

Area Under The Curve ◽

Apache Ii ◽

Apache Ii Score ◽

Health Evaluation ◽

Sensitivity Specificity

BACKGROUND Acute pancreatitis (AP) is an inflammatory disease of the pancreas, that results from intrapancreatic activation, release, and digestion of the organ by its own enzymes. The diagnosis of acute pancreatitis can be made when a patient presents with threefold elevated serum levels of amylase or lipase, abdominal pain and vomiting. In this study, we wanted to assess the severity of acute pancreatitis by using BISAP (Bedside index for severity in acute pancreatitis) and APACHE-II (Acute physiology and chronic health evaluation) scoring systems and compare the accuracy of BISAP scores with APACHE-II scores. METHODS A prospective study including 201 patients was conducted from April 2018 to March 2020 in Victoria Hospital, affiliated to BMCRI. RESULTS Among 201 AP patients, 129 were found to have mild acute pancreatitis (MAP), 72 were of severe acute pancreatitis (SAP), 192 survival cases, and 9 death cases. The larger the rating score, the higher the proportion of severe pancreatitis and mortality risk. Two kinds of scoring criteria; BISAP score points and Apache II score points compared in patients with MAP and SAP, In Apache II score to predict severity of organ failure, the sensitivity, specificity, positive predictive value, negative predictive value was 84.72 %, 93.02 %, 87.14 %, 91.60 % and area under the curve was 0.958 (P < 0.0001). In BISAP, the sensitivity, specificity, positive predictive value, negative predictive value was 90.28 %, 80.62 %, 72.22 %, 93.69 % and area under the curve was 0.917 (P < 0.0001). CONCLUSIONS Ability of APACHE II score prediction of AP in severity of organ failure and mortality are stronger than BISAP score, But APACHE II scoring system indicators were cumbersome, complicated assessment. BISAP scoring system is simple, economical, rapid and reliable, and it can effectively predict the severity and mortality of acute pancreatitis, and can be used as a preliminary screening method in accurate risk stratification and initiation of management accordingly at community health care, secondary health care and tertiary health care Hospitals. KEYWORDS Pancreatitis, Severity, Prediction, APACHE II and BISAP

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Analysis of Association between CT-assessed Body Composition and Survival Composition of Patients with Sepsis in EICU

10.21203/rs.3.rs-156786/v1 ◽

2021 ◽

Author(s):

Tian Yun Xu ◽

He Zhang ◽

Jie Zhi Li ◽

Nan Wang

Keyword(s):

Skeletal Muscle ◽

Intensive Care Unit ◽

Body Composition ◽

Intensive Care ◽

Mortality Rate ◽

Ct Scan ◽

Cox Regression ◽

Apache Ii ◽

Apache Ii Score ◽

Survival Group

Abstract Background: The prevalence of sepsis among patients in the intensive care unit is high. Thus, the evaluation of prognosis in these patients is paramount. This study aimed to appraise the role of the abdominal composition quantified from computed tomography (CT) scan in predicting a 90-day mortality rate among patients with sepsis in the emergency intensive care unit (EICU).Method: Through Cox regression analysis, the skeletal muscle density (SMD, skeletal muscle area (SMA), and subcutaneous adipose tissue area (SAT) assessed by the CT abdomen were associated with the 90-day mortality rate, with adjustment to the acute physiology and chronic health assessment (APACHE II) score, sequential organ failure assessment (SOFA) score, and BMI. Linear regression was performed to analyze other clinical factors.Result: The Cox regression analyses showed that compared with the non-survival group at 90-day, patients with a higher SMD (HR per 10 HU = 0.619; 95% CI = 0.450 - 0.853; p = 0.003), SMA (HR per 10 cm2 = 0.870; 95% CI = 0.781 - 0.969; p = 0.011), and SAT (HR per 10 cm2 = 0.954; 95% CI = 0.912 - 0.999; P = 0.047) were significantly associated with a lower 90-day mortality rate. These significant correlations persisted after adjusting for the BMI, APACHE II, and SOFA scores. Further analysis revealed gender differences in the SMD and skeletal muscle index (SMI) between the survival and the non-survival group.Conclusion: The content of body composition assessed by an abdominal CT scan is highly associated with the 90-day mortality of patients with sepsis in the EICU, of which the SMD, SMA, and SAT represent valuable prognostic factors.

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