scholarly journals Combining Sequential Organ Failure Assessment (SOFA) Score with Acute Physiology and Chronic Health Evaluation (APACHE) II Score to Predict Hospital Mortality of Critically Ill Patients

2007 ◽  
Vol 35 (4) ◽  
pp. 515-521 ◽  
Author(s):  
K. M. Ho
Keyword(s):  
Hospital Mortality ◽  
Critically Ill ◽  
Sofa Score ◽  
Critically Ill Patients ◽  
Characteristic Curve ◽  
Apache Ii ◽  
Brier Score ◽  
Apache Ii Score ◽  
Failure Assessment ◽  
Predict Hospital Mortality

The ability to accurately adjust for the severity of illness in outcome studies of critically ill patients is essential. Previous studies have showed that Sequential Organ Failure Assessment (SOFA) score and Acute Physiology and Chronic Health Evaluation (APACHE) II score can predict hospital mortality of critically ill patients. The effects of combining these two scores to predict hospital mortality of critically ill patients has not been evaluated. This cohort study evaluated the performance of combining the APACHE II score with SOFA score in predicting hospital mortality of critically ill patients. A total of 1,311 consecutive adult patients admitted to a tertiary 22-bed multidisciplinary intensive care unit (ICU) in Western Australia were considered. The APACHE II, Admission SOFA, Delta SOFA and maximum SOFA score were all related to hospital survival in the univariate analyses. Combining Max SOFA (area under receiver operating characteristic curve 0.875 vs. 0.858, P=0.014; Nagelkerke R2: 0.411 vs. 0.371; Brier Score: 0.086 vs. 0.090) or Delta SOFA score (area under receiver operating characteristic curve 0.874 vs. 0.858, P=0.003; Nagelkerke R2: 0.412 vs. 0.371; Brier Score: 0.086 vs. 0.090) with the APACHE II score improved the discrimination and overall performance of the predictions when compared with using the APACHE II score alone, especially in the emergency ICU admissions. Combining Max SOFA or Delta SOFA score with the APACHE II score may improve the accuracy of risk adjustment in outcome studies of critically ill patients.

scholarly journals The Impact of Serum Glucose on the Predictive Value of Serum Lactate for Hospital Mortality in Critically Ill Surgical Patients

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Xue Chen ◽  
Jianbin Bi ◽  
Jia Zhang ◽  
Zhaoqing Du ◽  
Yifan Ren ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Critically Ill ◽  
Sofa Score ◽  
Critically Ill Patients ◽  
High Glucose ◽  
Predictive Ability ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Glucose Levels ◽  
Glucose Group

Background. Lactate has been widely used as a risk indicator of outcomes in critically ill patients due to its ready measurement and good predictive ability. However, the interconnections between lactate metabolism and glucose metabolism have not been sufficiently explored, yet. In this study, we aimed to investigate whether glucose levels could influence the predictive ability of lactate and design a more comprehensive strategy to assess the in-hospital mortality of critically ill patients. Methods. We analyzed the clinical data of 293 critically ill patients. The primary outcome was in-hospital mortality. The logistic regression analysis and the area under the receiver operating characteristic curve (AUROC) were applied to evaluate the predictive ability of lactate in association with glucose. Results. The lactate level showed significant association with in-hospital mortality, and its predictive ability was also comparable to other prognostic scores such as the SOFA score and APACHE II score. We further divided 293 patients into three groups based on glucose levels: low-glucose group (<7 mmol/L), medium-glucose group (7-9 mmol/L), and high-glucose group (>9 mmol/L). The lactate level was associated with in-hospital mortality in the low- and high- glucose groups, but not in the medium-glucose group, whereas the SOFA score and APACHE II score were associated with in-hospital mortality in all three glucose groups. The AUROC of lactate in the medium-glucose group was also the lowest among the three glucose groups, indicating a decrease in its predictive ability. Conclusions. Our findings demonstrated that the predictive ability of lactate to assess in-hospital mortality could be influenced by glucose levels. In the medium glucose level (i.e., 7-9 mmol/L), lactate was inadequate to predict in-hospital mortality and the SOFA score; the APACHE II score should be utilized as a complementation in order to obtain a more accurate prediction.

Outcomes of Critically Ill Gynecological Cancer Patients Admitted to Intensive Care Unit

2012 ◽  
Vol 30 (1) ◽  
pp. 7-11 ◽  
Author(s):  
Silvio A. Ñamendys-Silva ◽  
María O. González-Herrera ◽  
Julia Texcocano-Becerra ◽  
Angel Herrera-Gómez
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Prognostic Factors ◽  
Mortality Rate ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Gynecological Cancer ◽  
Apache Ii ◽  
Apache Ii Score

Purpose: To assess the characteristics of critically ill patients with gynecological cancer, and to evaluate their prognosis. Methods: Fifty-two critically ill patients with gynecological cancer admitted to intensive care unit (ICU) were included. Univariate and multivariate logistic regressions were used to identify factors associated with hospital mortality. Results: Thirty-five patients (67.3%) had carcinoma of the cervix uteri and 11 (21.2%) had ovarian cancer. The mortality rate in the ICU was 17.3% (9 of 52) and hospital mortality rate were 23%(12 of 52). In the multivariate analysis, independent prognostic factors for hospital mortality were vasopressor use (odds ratio [OR] = 8.60, 95% confidence interval [CI] 2.05-36; P = .03) and the Acute Physiology and Chronic Health Evaluation (APACHE) II score (OR = 1.43, 95% CI 1.01-2.09; P = .048). Conclusions: The independent prognostic factors for hospital mortality were the need for vasopressors and the APACHE II score.

Prognostic Value of Lactate / Albumin Ratio combined with APACHE II, SAPS II and SOFA Score for Predicting Mortality in Critically Ill Patients with Septic Shock

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Walid H Nofal ◽  
Sahar K Abo Alela ◽  
Moustafa M Aldeeb ◽  
Gamal M Elewa
Keyword(s):  
Septic Shock ◽  
Critically Ill ◽  
Sofa Score ◽  
Critically Ill Patients ◽  
Predictive Value ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Albumin Ratio ◽  
Saps Ii ◽  
Saps Ii Score

Abstract Background Despite all worldwide efforts towards sepsis, more than 5.3 million patients die annually. Till now, there is no parameter or score to detect mortality in septic patients precisely. Objectives The aim of this study was to evaluate the prognostic performance of the lactate/albumin (L/A) ratio when combined with APACHE II score, SOFA score and SAPS II for predicting 28-day mortality in critically ill patients with septic shock. Patients and Methods After approval of the Medical Ethics Committee of Ain Shams Faculty of Medicine, an informed consent was taken from the patient or next of kin to include his/her data in this study. All patients who were admitted to the intensive care units (ICUs) with septic shock from 1st of September, 2019 to 30th of March, 2020 were assessed for enrollment in this study. Results In this prospective observational study, 100 adult patients of both sexes with septic shock were enrolled. They were categorized into two groups according to the primary endpoint (outcome) “28-days mortality”. Sixty-one patients (61%) died (non-survivors’ group) and thirtynine patients (39%) survived (survivors group). The most significant factors which affecting the mortality were LAR, SOFA score on admission, APACHE II, and SAPS II score. Prediction performance of the four variables for estimating 28 days mortality. When combined LAR + SOFA, LAR + APACHE, LAR + SAPS II, Overall score the ROC (AUROC, 0.867,0.847,0.849,,0.899 respectively) was the highest, compared to the other single models and lower cutoff (&gt;0.48, &gt;0.53, &gt;0.42, &gt;0.47 respectively)in comparison to single scores. Moreover, the overall score (including the 4 parameters together) gave the best predictive value for 28 day mortality Conclusion Lactate/Albumin ratio combined with APACHI II, SOFA and SAPS scores gave the best predictive value for 28 day mortality in septic shock patients, when compared with each separate score Recommendations combined LAR + SOFA, LAR + APACHE, LAR + SAPS II, Overall score recommended to use to predictho spital mortality, Further research on large sample sizeto study the risk stratification and implementing new scores using the lactate/albumin ratio (LAR) is needed. Simple, available and cheap markers should be used in developing new prediction scores.

scholarly journals Combination of Sequential Organ Failure Assessment (SOFA) score and Charlson Comorbidity Index (CCI) could predict the severity and prognosis of candidemia more accurately than the Acute Physiology, Age, Chronic Health Evaluation II (APACHE II) score

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nobuhiro Asai ◽  
Wataru Ohashi ◽  
Daisuke Sakanashi ◽  
Hiroyuki Suematsu ◽  
Hideo Kato ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Sequential Organ Failure Assessment ◽  
Organ Failure ◽  
Sofa Score ◽  
Charlson Comorbidity Index ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Health Evaluation ◽  
Failure Assessment ◽  
Comorbidity Index

Abstract Background Candidemia has emerged as an important nosocomial infection, with a mortality rate of 30–50%. It is the fourth most common nosocomial bloodstream infection (BSI) in the United States and the seventh most common nosocomial BSI in Europe and Japan. The aim of this study was to assess the performance of the Sequential Organ Failure Assessment (SOFA) score for determining the severity and prognosis of candidemia. Methods We performed a retrospective study of patients admitted to hospital with candidemia between September 2014 and May 2018. The severity of candidemia was evaluated using the SOFA score and the Acute Physiology, Age, Chronic Health Evaluation II (APACHE II) score. Patients’ underlying diseases were assessed by the Charlson Comorbidity Index (CCI). Results Of 70 patients enrolled, 41 (59%) were males, and 29 (41%) were females. Their median age was 73 years (range: 36–93 years). The most common infection site was catheter-related bloodstream infection (n=36, 51%).The 30-day, and in-hospital mortality rates were 36 and 43%, respectively. Univariate analysis showed that SOFA score ≥5, APACHE II score ≥13, initial antifungal treatment with echinocandin, albumin < 2.3, C-reactive protein > 6, disturbance of consciousness, and CCI ≥3 were related with 30-day mortality. Of these 7, multivariate analysis showed that the combination of SOFA score ≥5 and CCI ≥3 was the best independent prognostic indicator for 30-day and in-hospital mortality. Conclusions The combined SOFA score and CCI was a better predictor of the 30-day mortality and in-hospital mortality than the APACHE II score alone.

scholarly journals Dysbiosis of intestinal microbiota to predict in-hospital mortality in critically ill patients: results of a prospective observational cohort study

2020 ◽  
Author(s):  
Ru Wei ◽  
Xu Chen ◽  
Linhui Hu ◽  
Zhimei He ◽  
Xin Ouyang ◽  
...  
Keyword(s):  
Intensive Care ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Intestinal Microbiota ◽  
Sofa Score ◽  
Critically Ill Patients ◽  
Prognostic Value ◽  
Apache Ii ◽  
Hospital Death ◽  
Death Group

Abstract Background: Despite the essential functions of the intestinal microbiota in human physiology, little research has been reported on the gut microbiota alteration in intensive care patients. This investigation aimed to explore the dysbacteriosis of intestinal flora in critically ill patients, and evaluate the prognostic performance of this dysbiosis to predict in-hospital mortality. Methods: A prospective cohort of patients were consecutively recruited at Intensive Care Units (ICUs) in Guangdong Provincial People's Hospital from March 2017 through October 2017. Acute Physiology and Chronic Health Evaluation (APACHE) II score and Sequential Organ Failure Assessment (SOFA) score were assessed, and fecal samples were taken for examination within 24 hours of ICU admission. The taxonomic composition of intestinal microbiome was determined using 16S rDNA gene sequencing. Patients were divided into survival and death group based on the outcomes in hospital. The two groups were statistically compared using the independent samples t test and Metastats analysis. Genera of bacteria showing significantly different abundance between groups were assessed for predictors of in-hospital death. The prognostic value of bacterial abundance alone and in combination with APACHE II or SOFA score were evaluated using the area under the receiver operating characteristic curve (AUROC). Results: Among the 61 patients that were examined, a total of 12 patients (19.7%) died during hospital stay. Bifidobacterium differed significantly in abundance between survival and death group ( P =0.031). The AUROC of Bifidobacterium abundance identifying in-hospital death at a cut-off probability of 0.0041 was 0.718 (95% confidence interval [CI], 0.588-0.826). The panel of Bifidobacterium abundance plus SOFA (AUROC, 0.882; 95% CI, 0.774-0.950) outperformed SOFA (AUROC, 0.649; 95% CI, 0.516-0.767; P =0.012) and Bifidobacterium abundance alone ( P =0.007). The panel of Bifidobacterium abundance plus APACHE II (AUROC, 0.876; 95% CI, 0.766-0.946) outperformed APACHE II (AUROC, 0.724; 95% CI, 0.595-0.831; P =0.035) and Bifidobacterium abundance alone ( P =0.012). Conclusions: Dysbiosis of intestinal microbiota with variable degree of reduction in Bifidobacterium abundance exhibits promising performance in predicting in-hospital mortality, and provides incremental prognostic value to existing scoring systems in the adult intensive care unit (ICU) setting.

scholarly journals Nutritional Assessment in the Critically Ill Patients

2020 ◽  
Author(s):  
Elham Bagheri ◽  
Farzaneh Hematian ◽  
Mandana Izadpanah ◽  
Mahbobeh Rashidi
Keyword(s):  
Critically Ill ◽  
Sofa Score ◽  
Critically Ill Patients ◽  
Nutritional Assessment ◽  
Apache Ii ◽  
Nutritional Risk ◽  
Apache Ii Score ◽  
Number Of Patients ◽  
Study Results ◽  
The Impact

Background: Malnutrition is a prevalent complication among critically ill patients. It has very detrimental effects on the patients' clinical course. This study aimed to investigate the impact of nutrition in the intensive care unit (ICU) patients. Methods: In this epidemiologic-analytic study conducted in the surgical ICU of Imam Khomeini hospital, Ahvaz, Iran, 34 patients were selected and divided into two groups. The first group of patients received the appropriate nutrition. The second group received an inappropriate diet, and the nutritional risk was evaluated according to the modified- Nutrition Risk in Critically ill (m-NUTRIC) score. The energy was calculated by using 25 Kcal/kg, also the two groups were compared in terms of ICU mortality, ICU stays, Acute Physiologic Assessment and Chronic Health Evaluation (APACHE) II Scoring, and the Sequential Organ Failure Assessment (SOFA) Score. Results: Baseline data, such as APACHE II score and mean age, except sex, were not significantly different between the two groups. In this study, results were toward shorter ICU stay, less mortality, and better SOFA score in the group receiving appropriate nutrition compared to the other group. However, due to the low number of patients, no significant differences were observed in the two groups. Conclusion: Our data suggest that nutritional support should be considered as an essential part of the medication during critical illness.

scholarly journals Prediction of Outcome in Critically Ill Elderly Patients using APACHE II and SOFA Scores

2012 ◽  
Vol 40 (3) ◽  
pp. 1114-1121 ◽  
Author(s):  
Q Qiao ◽  
G Lu ◽  
M Li ◽  
Y Shen ◽  
D Xu
Keyword(s):  
Elderly Patients ◽  
Critically Ill ◽  
Roc Curve ◽  
Sofa Score ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Failure Assessment ◽  
Mortality Outcome ◽  
Lemeshow Test ◽  
The Difference

OBJECTIVE: Performances of the Acute Physiology and Chronic Health Evaluation II (APACHE II) score and the Sequential Organ Failure Assessment (SOFA) score were assessed in predicting mortality outcome in critically ill elderly patients. METHODS: Mean APACHE II and SOFA scores were compared in 106 intensive care unit patients aged > 65 years classified as survivors or deaths. The discriminatory ability of the scores was evaluated using the area under the receiver operating characteristic (ROC) curve. Calibration was assessed using the Hosmer—Lemeshow test. RESULTS: Mean APACHE II and SOFA scores in survivors were lower than in those who died. There was a positive correlation between the APACHE II and SOFA scores. The area under the ROC curve was 0.76 for the APACHE II score and ranged from 0.74 for the initial SOFA score to 0.98 for the maximum SOFA score. Hosmer—Lemeshow values for the APACHE II score and various SOFA scores indicated that predictions based on these scores closely fit the observed outcomes. CONCLUSIONS: APACHE II and SOFA scores can accurately predict mortality outcome in critically ill elderly patients, especially the maximum SOFA score and the difference between the maximum and initial SOFA scores.

scholarly journals Relationships between serum procalcitonin level, severity and different stresses of non-septic critically ill patients

2020 ◽  
Vol 28 (1) ◽  
pp. 49-56
Author(s):  
Juncheng Shi ◽  
Qiankun Shi ◽  
Shoutao Yuan ◽  
Wenhao Zhang
Keyword(s):  
Mortality Rate ◽  
Critically Ill ◽  
Traumatic Stress ◽  
Sofa Score ◽  
Critically Ill Patients ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Stress Group ◽  
Inflammatory Stress ◽  
Induced Stress

AbstractBackground: To explore the relationships between serum procalcitonin (PCT) level, severity and different stresses of non-septic critically ill patients.Materials and Methods: Patients were divided into traumatic stress, stroke-induced stress and non-infectious inflammatory stress groups. According to 28-day prognosis, they were divided into survival and death groups. The factors affecting prognosis were studied by multivariate logistic regression analysis.Results: PCT level was significantly positively correlated with Acute Physiology and Chronic Health Evaluation II (APACHE II) and sequential organ failure assessment (SOFA) scores (P=0.001). The PCT level and abnormality rate of the traumatic stress group significantly exceeded those of other groups (P---lt---0.05). The APACHE II score, SOFA score and 28-day mortality rate of traumatic stress and stroke-induced stress groups significantly exceeded those of the non-infectious inflammatory stress group (P---lt---0.05). The PCT level, APACHE II score and SOFA score of the death group significantly surpassed those of the survival group (P---lt---0.05). With rising PCT level, APACHE II score, SOFA score and 28-day mortality rate all increased, with significant intergroup differences (P---lt---0.01). Multivariate logistic analysis showed that serum PCT level, APACHE II score and SOFA score were independent risk factors for prognosis. The area under ROC curve for prognosis evaluated by PCT level was 0.797 (95%CI = 0.710~0.878, P=0.000). At a 4.3 μg/L cut-off, the sensitivity and specificity for predicting 28-day mortality were 87.4% and 78.1%, respectively.Conclusion: The serum PCT level of non-septic critically ill patient was positively correlated with severity, which was more likely elevated by traumatic stress than other stresses.

scholarly journals Plasma Neutrophil Gelatinase-Associated Lipocalin Is Useful for Predicting Mortality in Critically Ill Patients

2021 ◽  
Vol 10 (12) ◽  
pp. 2576
Author(s):  
Izabela Duda ◽  
Łukasz Krzych
Keyword(s):  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Mortality Prediction ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Icu Mortality ◽  
Icu Admission ◽  
Neutrophil Gelatinase Associated Lipocalin ◽  
Neutrophil Gelatinase

Elevated neutrophil gelatinase-associated lipocalin (NGAL) occurs in a wide range of systemic diseases. This study examined the clinical utility of plasma NGAL to predict intensive care unit (ICU) and in-hospital mortality in critically ill patients. A total of 62 patients hospitalized in a mixed ICU were included; pNGAL, creatinine, and C-reactive protein (CRP) were assayed on four consecutive days (D1-D4) following ICU admission. APACHE II score (Acute Physiology and Chronic Health Evaluation) was calculated 24 h post-admission. ICU mortality reached 35% and in-hospital mortality was 39%. The median pNGAL at admission was 142.5 (65.6–298.3) ng/mL. pNGAL was significantly higher in non-survivors compared to survivors. The highest accuracy for ICU mortality prediction was achieved at the pNGAL cutoff of 93.91 ng/mL on D4 area under the curve (AUC) = 0.89; 95%CI 0.69–0.98 and for in-hospital mortality prediction was achieved at the pNGAL cutoff of 176.64 ng/mL on D3 (AUC = 0.86; 95%CI 0.69–0.96). The APACHE II score on ICU admission predicted ICU mortality with AUC = 0.89 (95%CI 0.79–0.96) and in-hospital mortality with AUC = 0.86 (95%CI 0.75–0.94). Although pNGAL on D1 poorly correlated with APACHE II (R = 0.3; p = 0.01), the combination of APACHE II and pNGAL on D1 predicted ICU mortality with AUC = 0.90 (95%CI 0.79–0.96) and in-hospital mortality with AUC = 0.95 (95%CI 0.78–0.99). Maximal CRP during study observation failed to predict ICU mortality (AUC = 0.62; 95%CI 0.49–0.74), but helped to predict in-hospital mortality (AUC = 0.67; 95%CI 0.54–0.79). Plasma NGAL with combination with the indices of critical illness is a useful biomarker for predicting mortality in heterogeneous population of ICU patients.

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