scholarly journals Traditional Chinese Medicine Diagnosis “Yang-Xu Zheng”: Significant Prognostic Predictor for Patients with Severe Sepsis and Septic Shock

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Sunny Jui-Shan Lin ◽  
Yung-Yen Cheng ◽  
Chih-Hung Chang ◽  
Cheng-Hung Lee ◽  
Yi-Chia Huang ◽  
...  
Keyword(s):  
Septic Shock ◽  
Regression Analysis ◽  
Severe Sepsis ◽  
Host Response ◽  
Multivariate Logistic Regression Analysis ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Multivariate Logistic Regression ◽  
Sepsis Mortality ◽  
Sepsis And Septic Shock

Pathogenesis of sepsis includes complex interaction between pathogen activities and host response, manifesting highly variable signs and symptoms, possibly delaying diagnosis and timely life-saving interventions. This study applies traditional Chinese medicine (TCM)Zhengdiagnosis in patients with severe sepsis and septic shock to evaluate its adaptability and use as an early predictor of sepsis mortality. Three-year prospective observational study enrolled 126 septic patients. TCMZhengdiagnosis, Acute Physiology and Chronic Health Evaluation (APACHE) II score, and blood samples for host response cytokines measurement (tumor necrosis factor-α, Interleukin-6, Interleukin-8, Interleukin-10, Interleukin-18) were collected within 24 hours after admission to Intensive Care Unit. Main outcome was 28-day mortality; multivariate logistic regression analysis served to determine predictive variables of the sepsis mortality. APACHE II score, frequency ofNutrient-phase heat, andQi-XuandYang-Xu Zhengswere significantly higher in nonsurvivors. The multivariate logistic regression analysis identifiedYang-Xu Zhengas the outcome predictor. APACHE II score and levels of five host response cytokines between patients with and withoutYang-Xu Zhengrevealed significant differences. Furthermore, cool extremities and weak pulse, both diagnostic signs ofYang-Xu Zheng, were also proven independent predictors of sepsis mortality. TCM diagnosis “Yang-Xu Zheng” may provide a new mortality predictor for septic patients.

scholarly journals Comparative analysis of survival between elderly and non-elderly severe sepsis and septic shock resuscitated patients

2015 ◽  
Vol 13 (3) ◽  
pp. 357-363 ◽  
Author(s):  
Henrique Palomba ◽  
Thiago Domingos Corrêa ◽  
Eliézer Silva ◽  
Andreia Pardini ◽  
Murillo Santucci Cesar de Assuncao
Keyword(s):  
Septic Shock ◽  
Severe Sepsis ◽  
Elderly Patients ◽  
Hospital Mortality ◽  
Length Of Hospital Stay ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Resuscitated Patients ◽  
Long Term Impact ◽  
Sepsis And Septic Shock

Objective To compare outcomes between elderly (≥65 years old) and non-elderly (<65 years old) resuscitated severe sepsis and septic shock patients and determine predictors of death among elderly patients.Methods Retrospective cohort study including 848 severe sepsis and septic shock patients admitted to the intensive care unit between January 2006 and March 2012.Results Elderly patients accounted for 62.6% (531/848) and non-elderly patients for 37.4% (317/848). Elderly patients had a higher APACHE II score [22 (18-28)versus 19 (15-24); p<0.001], compared to non-elderly patients, although the number of organ dysfunctions did not differ between the groups. No significant differences were found in 28-day and in-hospital mortality rates between elderly and non-elderly patients. The length of hospital stay was higher in elderly compared to non-elderly patients admitted with severe sepsis and septic shock [18 (10-41)versus 14 (8-29) days, respectively; p=0.0001]. Predictors of death among elderly patients included age, site of diagnosis, APACHE II score, need for mechanical ventilation and vasopressors.Conclusion In this study population early resuscitation of elderly patients was not associated with increased in-hospital mortality. Prospective studies addressing the long-term impact on functional status and quality of life are necessary.

scholarly journals Analysis of Risk Factors For Sepsis And Indicators of Prognosis In Patients With Sepsis: A Retrospective Observational Study

2021 ◽  
Author(s):  
Huifeng Wang ◽  
Zhiling Zhao ◽  
Zhao-hui Tong
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Albumin Level ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Multivariate Logistic Regression ◽  
Independent Risk Factors

Abstract Background: To investigate the independent risk factors for sepsis and the prognostic indicators of sepsis-related mortality to guide clinical practice.Methods: Adult patients diagnosed with sepsis in the respiratory intensive care unit (RICU), emergency ICU (EICU), and surgical ICU (SICU) of Beijing Chao-Yang Hospital, Capital Medical University, from January 2016 to April 2021 were enrolled. Comorbidities, complications, and laboratory indicators were retrospectively analyzed. Variables with a p value < 0.05 in the univariate analysis were entered into multivariate logistic regression analysis to identify the independent risk factors for sepsis. Receiver operating characteristic curve (ROC) analysis was used for those variables with P < 0.05 in multivariate regression to evaluate the fit of the predictive model and its prognostic efficacy. Results: A total of 123 adult patients with sepsis were enrolled, with 80 males and 43 females and a mean age of 61.56 ± 17.12 years. Acute respiratory distress syndrome (ARDS) occurred in 84 patients (68.3%), acute kidney injury (AKI) occurred in 28 patients (22.8%), acute myocardial injury (AMI) occurred in 6 patients (4.9%), disseminated intravascular coagulation (DIC) occurred in 14 patients (11.4%), septic shock occurred in 40 patients (32.5%), and 41 patients (33.3%) died. Multivariate logistic regression analysis showed that mean arterial pressure (MAP), acute physiology and chronic health evaluation II (APACHE II) score, albumin level, and the presence of DIC were independent risk factors for sepsis (P < 0.05). The area under the ROC curve for the model including MAP, albumin, and APACHE II score was the highest at 0.890.Conclusion: The MAP, APACHE II score, albumin level, and DIC were independent risk factors for sepsis. The inclusion of the MAP, albumin level, and APACHE II score in the model yielded the most accurate prediction of the risk of mortality.

scholarly journals Improving of APACHE II score at the early phase using CTR-001 direct hemoperfusion in patients with severe sepsis and septic shock

Critical Care ◽  
2009 ◽  
Vol 13 (Suppl 1) ◽  
pp. P285 ◽  
Author(s):  
Y Suzuki ◽  
N Sato ◽  
M Kojika ◽  
T Kikkawa ◽  
T Shouzushima ◽  
...  
Keyword(s):  
Septic Shock ◽  
Severe Sepsis ◽  
Early Phase ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Direct Hemoperfusion ◽  
Sepsis And Septic Shock

scholarly journals Prognostic value of ADAMTS13 in patients with severe sepsis and septic shock

2017 ◽  
Vol 40 (2) ◽  
pp. 49 ◽  
Author(s):  
M Feroz Azfar ◽  
M Faisal Khan ◽  
S Shahid Habib ◽  
Z Al Aseri ◽  
A Mohammad Zubaidi ◽  
...  
Keyword(s):  
Septic Shock ◽  
Severe Sepsis ◽  
Significant Risk ◽  
Area Under The Curve ◽  
Apache Ii ◽  
University Hospital ◽  
Apache Ii Score ◽  
Surgical Intensive Care ◽  
Vasopressor Agents ◽  
Sepsis And Septic Shock

Purpose: ADAMTS13 level was evaluated as a predictor of mortality in patients with severe sepsis and septic shock, and compared with Acute Physiology and Chronic Health Evaluation II (APACHE II) scores. Methods: This prospective observational study was conducted in the Medical and Surgical Intensive Care Units of King Khalid University Hospital. Detailed clinical evaluations were performed on 84 patients (56.08±18.18 years of age) with severe sepsis and septic shock. ADAMTS13 levels were determined (three blood samples at 24 hours intervals) and APACHE II scores, hematological profiles, indices of organ hypo-perfusion, renal functions and coagulation profiles were recorded. Primary outcome was 30 days ICU mortality and secondary outcomes were its comparison with APACHE II score, length of ICU stay and use of vasopressor agents. Results: Hypertension (53.6%) and diabetic mellitus (45.2%) were the commonest comorbidities. The median ADAMTS13 levels were 336.65, 339.35 and 313.9, respectively. ROC analysis showed maximum area under the curve for second ADAMTS13 (AUC=0.760) compared with first (AUC=0.660) and third samples (AUC=0.707) and APACHE II scores (AUC=0.662). Patients were divided into low and high ADAMTS13 groups according to the best cut-off point. Mortality was high in the low ADAMTS13 level group [OR=4.5]and was significantly associated with age, DBP, ADAMTS13, APACHE II score, DIC score and platelet count. ADAMTS13 (OR=5.3), APACHE II (OR=4.13) and DIC scores (OR=7.32) were significant risk factors for mortality. Conclusions: Low ADAMTS13 was associated with increased mortality in patients with severe sepsis and septic shock and was comparable to APACHE II scores for predicting mortality.

The Relationship of the ACCP/SCCM Consensus Conference Classification of Sepsis to Mortality and Multiorgan Dysfunction among Medical ICU Patients

1996 ◽  
Vol 11 (6) ◽  
pp. 326-334 ◽  
Author(s):  
Marin H. Kollef ◽  
Paul R. Eisenberg
Keyword(s):  
Septic Shock ◽  
Severe Sepsis ◽  
Hospital Mortality ◽  
Consensus Conference ◽  
Organ System ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Icu Patients ◽  
Multiorgan Dysfunction

To determine the relation between the proposed ACCP/SCCM Consensus Conference classification of sepsis and hospital outcomes, we conducted a single-center, prospective observational study at Barnes Hospital, St. Louis, MO, an academic tertiary care hospital. A total of 324 consecutive patients admitted to the medical intensive care unit (ICU) were studied for prospective patient surveillance and data collection. The main outcome measures were the number of acquired organ system derangements and hospital mortality. Fifty-seven (17.6%) patients died during the study period. The proposed classifications of sepsis (e.g., systemic inflammatory response syndrome [SIRS], sepsis, severe sepsis, septic shock) correlated with hospital mortality ( r = 0.330; p < 0.001) and development of an Organ System Failure Index (OSFI) of 3 or greater ( r = 0.426; p < 0.001). Independent determinants of hospital mortality for this patient cohort ( p < 0.05) were development of an OSFI of 3 or greater (adjusted odds ratio [AOR], 13.9; 95% confidence interval [CI], 6.4–30.2; p < 0.001); presence of severe sepsis or septic shock (AOR, 2.6; 95% CI, 1.2–5.6; p = 0.002), and an APACHE II score ≥ of 18 or greater (AOR, 2.4; 95% CI, 1.0–5.8; p = 0.045). Intra-abdominal infection (AOR, 19.1; 95% CI, 1.6–230.1; p = 0.011), an APACHE II score ≥ of 18 or greater (AOR, 8.9; 95% CI, 4.2–18.6; p < 0.001), and presence of severe sepsis or septic shock (AOR, 2.9; 95% CI, 1.5–5.4; p = 0.001) were independently associated with development of an OSFI of 3 or greater. These data confirm that acquired multiorgan dysfunction is the most important predictor of mortality among medical ICU patients. In addition, they identify the proposed ACCP/SCCM Consensus Conference classification of sepsis as an additional independent determinant of both hospital mortality and multiorgan dysfunction.

scholarly journals Hospitals That Report Severe Sepsis and Septic Shock Bundle (SEP-1) Compliance Have More Structured Sepsis Performance Improvement

2021 ◽  
Author(s):  
Ty B. Bolte ◽  
Morgan B. Swanson ◽  
Anna Kaldjian ◽  
Nicholas M. Mohr ◽  
Jennifer McDanel ◽  
...  
Keyword(s):  
Septic Shock ◽  
Severe Sepsis ◽  
Performance Improvement ◽  
Administrative Claims ◽  
Case Review ◽  
Sepsis Mortality ◽  
Early Management ◽  
Care Plans ◽  
Sepsis And Septic Shock ◽  
Sepsis Care

Objective: Sepsis is a common cause of death in hospitalized patients. The Centers for Medicare & Medicaid Service (CMS) Severe Sepsis and Septic Shock Bundle (SEP-1) is an evidence-based early management bundle focused on improving sepsis outcomes. It is unknown which quality improvement (QI) practices are associated with SEP-1 compliance and if those practices reduce sepsis mortality. The objectives of this study were to compare sepsis QI practices in SEP-1 reporting and non-reporting hospitals and to measure the association between specific elements of sepsis QI processes and SEP-1 performance and hospital-specific risk-adjusted sepsis mortality. Design, Setting, and Patients: This mixed methods study linked telephone survey data on QI practices from Iowa hospitals to SEP-1 performance data and risk-adjusted mortality from statewide all-payer administrative claims database. The survey assessed sepsis QI practices in eight categories. Characteristics of hospitals and sepsis QI practices were compared by SEP-1 reporting status. Univariable and multivariable logistic and linear regression estimated the association of QI practices with hospital SEP-1 performance and observed-to-expected sepsis mortality ratios. Interventions: None Measurements and Main Results: All 118 Iowa hospitals completed the survey (100% response rate). SEP-1 reporting hospitals were more likely to have sepsis QI practices, including reporting sepsis quality to providers (64% vs. 38%, p = 0.026) and using the case review process to develop sepsis care plans (87% vs. 64%, p = 0.013). Sepsis QI practices were not associated with increased SEP-1 scores. Two were associated with reduced mortality: having a sepsis committee B= -0.11, p = 0.036) and using case review results for sepsis care plans (B= -0.10, p = 0.049). Conclusions: Hospitals reporting SEP-1 compliance to CMS conduct more sepsis QI practices. Most QI practices are not associated with increased SEP-1 performance or decreased sepsis mortality. Future work could explore how to implement these performance improvement practices in hospitals not reporting SEP-1 compliance.

scholarly journals Prognostic value of presepsin (soluble CD14-subtype) in diagnosis of ventilator-associated pneumonia and sepsis in trauma patients

2018 ◽  
Vol 75 (10) ◽  
pp. 968-977
Author(s):  
Bojan Jovanovic ◽  
Olivera Djuric ◽  
Ljiljana Markovic-Denic ◽  
Aleksandra Isakovic ◽  
Krstina Doklestic ◽  
...  
Keyword(s):  
Septic Shock ◽  
Injury Severity ◽  
Medical Condition ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Trauma Patients ◽  
Ventilator Associated Pneumonia ◽  
Soluble Cd14 ◽  
Sepsis And Septic Shock ◽  
Injured Patients

Background/Aim. Presepsin (soluble CD14-subtype) is a fragment of CD14 produced in response to bacterial infections and a novel biomarker of pneumonia, sepsis and septic shock. The aim of this study was to compare sensitivity and specificity of persepsin, soluble CD14-subtype (sCD14-ST) with other biomarkers: procalcitonine (PCT), C-reactive protein (CRP) and leukocyte count (Le) in mechanically ventilated injured patients, as a marker of pneumonia, sepsis and septic shock. Methods. The prospective study was undertaken in trauma and surgery intensive care unit of the Emergency Center, the Clinical Center of Serbia from January to April 2013. The study included 39 trauma patients requiring mechanical ventilation, and who developed one of the following inclusion criteria: Systemic Inflammatory Response Syndrome (SIRS), ventilator associated pneumonia (VAP), sepsis and/or septic shock. On admission Acute Physiology and Chronic Health Evaluation II (APACHE II) Score and Injury Severity Score (ISS) were calculated. Seventy-two measurements of four biomarkers (presepsin, PCT, CRP and Le) were performed in 39 patients at the moments of diagnosis of SIRS, VAP, sepsis and/or septic shock (21 when SIRS diagnosis was established, 21 after the diagnosis of VAP, 18 at the moment of diagnosis of sepsis and the remaining 12 measurements were conducted while diagnosing the septic shock). The Sequential Organ Failure Assessment (SOFA) score was calculated at these points as well. Results. Patients were mainly severely injured (mean ISS = 24.2) and had moderately severe medical condition at admission (mean Apache II score, 14.5). Presepsin concentration significantly differed among all the four groups, except between sepsis and septic shock. The strongest positive correlation of presepsin evinced with PCT (r = 0.741, p < 0.001). The sCD14-ST indicated better performance in diagnosis of both VAP (AUC = 0.909) and sepsis (AUC = 0.899), compared to PCT (AUCs: 0.863, 0.885, respectively), CRP (AUCs: 0.703, 0.677, respectively) and Le (AUCs: 0.668, 0.700, respectively). Conclusion. This study revealed that sCD14-ST is a reliable biomarker for distinguishing sepsis severity. It also showed a good correlation with the infection development as well as worsening in injured patients.

scholarly journals Cell-Free Plasma DNA as a Predictor of Outcome in Severe Sepsis and Septic Shock

2008 ◽  
Vol 54 (6) ◽  
pp. 1000-1007 ◽  
Author(s):  
Katri Saukkonen ◽  
Päivi Lakkisto ◽  
Ville Pettilä ◽  
Marjut Varpula ◽  
Sari Karlsson ◽  
...  
Keyword(s):  
Septic Shock ◽  
Regression Analysis ◽  
Severe Sepsis ◽  
Hospital Mortality ◽  
Independent Predictor ◽  
Discriminative Power ◽  
Plasma Dna ◽  
Icu Mortality ◽  
Sepsis And Septic Shock ◽  
Free Plasma

Abstract Background: Increased concentrations of cell-free DNA have been found in plasma of septic and critically ill patients. We investigated the value of plasma DNA for the prediction of intensive care unit (ICU) and hospital mortality and its association with the degree of organ dysfunction and disease severity in patients with severe sepsis. Methods: We studied 255 patients with severe sepsis or septic shock. We obtained blood samples on the day of study inclusion and 72 h later and measured cell-free plasma DNA by real-time quantitative PCR assay for the β-globin gene. Results: Cell-free plasma DNA concentrations were higher at admission in ICU nonsurvivors than in survivors (median 15 904 vs 7522 genome equivalents [GE]/mL, P &lt; 0.001) and 72 h later (median 15 176 GE/mL vs 6758 GE/mL, P = 0.004). Plasma DNA values were also higher in hospital nonsurvivors than in survivors (P = 0.008 to 0.009). By ROC analysis, plasma DNA concentrations had moderate discriminative power for ICU mortality (AUC 0.70–0.71). In multiple regression analysis, first-day plasma DNA was an independent predictor for ICU mortality (P = 0.005) but not for hospital mortality. Maximum lactate value and Sequential Organ Failure Assessment score correlated independently with the first-day plasma DNA in linear regression analysis. Conclusions: Cell-free plasma DNA concentrations were significantly higher in ICU and hospital nonsurvivors than in survivors and showed a moderate discriminative power regarding ICU mortality. Plasma DNA concentration was an independent predictor for ICU mortality, but not for hospital mortality, a finding that decreases its clinical value in severe sepsis and septic shock.

Sign in / Sign up

Export Citation Format

Share Document