Predictive value of soluble CD40L combined with APACHE II score in elderly patients with sepsis in the emergency department.

BACKGROUND: The prognostic performance of soluble CD40L (sCD40L) for illness severity in infectious diseases is rarely reported. We investigated the ability of sCD40L combined with Acute Physiology and Chronic Health Evaluation II (APACHE II) score to evaluate mortality in septic patients in the emergency department(ED). METHODS: We enrolled 222 septic patients in the ED of Beijing Chao-Yang Hospital from October 2020 to April 2021. Their serum sCD40L, PCT, lactate (Lac), Sequential Organ Failure Assessment (SOFA) score, Acute Physiology and Chronic Health Evaluation II (APACHE II) score were used to predict the prognosis of septic patients in terms of 28-day mortality. Serum sCD40L was detected by Human XL Cytokine Luminex. Logistic regression analysis and receiver operating characteristic (ROC) curves were used to assess the prognostic value of the variables. RESULTS: One hundred ninety-five patients met the inclusion criteria, divided into survival group (55 cases) and non-survival group (140 cases). sCD40L, PCT, Lac, SOFA and APACHE II score were found to independently predict 28-day mortality (P < 0.05). The AUC values of sCD40L, PCT, Lac, SOFA and APACHE II score were 0.662,0.727,0.704, 0.719 and 0.716, respectively. There was no difference in the diagnostic value of sCD40L compared with the PCT, Lac, SOFA score or APACHE II score (Z1 = 1.19, P = 0.234; Z2 = 0.77, P = 0.441; Z3 = 1.05, P = 0.294; Z4 = 0.97, P = 0.332). However, the combined evaluation of sCD40L + APACHE II (AUC:0.772, Z = 2.10, P = 0.036) was much better than sCD40L alone in predicting 28-day mortality. CONCLUSION: The predictive value of sCD40L + APACHE II is better than sCD40L alone for 28-day mortality. sCD40L combined with APACHE II score is valuable for predicting 28-day mortality in elderly patients with sepsis.

Synergizing Survival: Uniting Acute Gastrointestinal Injury Grade and Disease Severity Scores in Critical Care Prognostication.

How to cite this article: Patnaik RK, Karan N. Synergizing Survival: Uniting Acute Gastrointestinal Injury Grade and Disease Severity Scores in Critical Care Prognostication. Indian J Crit Care Med 2024;28(6):529-530.

Interleukin-6 in Sepsis-Promising but Yet to Be Proven.

How to cite this article: Sinha S. Interleukin-6 in Sepsis-Promising but Yet to Be Proven. Indian J Crit Care Med 2024;28(7):629-631.

Automated APACHE II and SOFA score calculation using real-world electronic medical record data in a single center.

The integration of illness severity and organ dysfunction scores into clinical practice, including the APACHE II and SOFA scores, has been challenging due to constraints associated to manual score calculation. With electronic medical records (EMR), score calculation automation using data extraction scripts has emerged as a solution. We aimed to demonstrate that APACHE II and SOFA scores calculated with an automated EMR-based data extraction script predict important clinical endpoints. In this retrospective cohort study, every adult patient admitted to one of our three ICUs, between July 1, 2019, and December 31, 2020, were enrolled. For every patient, an automated ICU admission APACHE II score was calculated using EMR data and minimal clinician input. Fully automated daily SOFA scores were calculated for every patient. 4 794 ICU admissions met our selection criteria. Of these ICU admissions, 522 deaths were recorded (10.9% in-hospital mortality rate). The automated APACHE II was discriminant for in-hospital mortality (AU-ROC = 0.83 (95% CI 0.81-0.85)). We observed an association between the APACHE II score and ICU LOS, with a statistically significant mean increase of 1.1 days of ICU LOS (1.1 [1-1.2]; p = < .0001) for each 10 units increase in APACHE score. SOFA score curves did not discrimate significantly between survivors and non-survivors. A partially automated APACHE II score, calculated with real-world EMR data using an extraction script, is associated with in-hospital mortality risk. The automated APACHE II score could potentially constitute an acceptable surrogate of ICU acuity to be used in resource allocation and triaging, especially in time of high demand for ICU beds.

Hypertriglyceridemia-induced pancreatitis treated with continuous insulin infusion-Case series.

OBJECTIVE: There are no definitive treatment guidelines for hypertriglyceridemia (HTG)-induced acute pancreatitis (AP). The aim of this retrospective study was to evaluate the efficacy of insulin in decreasing triglyceride (TG) levels in patients with HTG-induced AP. DESIGN: We included 17 cases of HTG-induced AP treated with continuous insulin aspart for 4 days. PATIENTS: Fifteen patients were male, two were female. The mean TG level at admission was 56.53 ± 25.29 mmol/L. The mean APACHE II score was 10.2 ± 5.7, Ranson 4.2 ± 1.7 and Balthazar 6.5 ± 2.6, implying a severe form of the disease. METHODS: In an 8-year period, 17 patients with a diagnosis of HTG-induced AP were treated with a continuous infusion of 5% dextrose and insulin aspart in an attempt to lower TG levels. TG levels were assessed on admission, the second and fourth day of therapy. The patient outcome, complications and recurrence of AP were monitored. RESULTS: A significant reduction of TG levels was observed in all patients on Day 4. All patients survived, with one forming a giant pseudocyst as a disease complication, one needing haemodialyses treatment due to an acute kidney injury, and one developing acute respiratory distress syndrome that required mechanical ventilation for 4 days. All patients recovered completely. CONCLUSION: Our study showed that continuous insulin aspart infusion decreases TG levels in HTG-induced AP from a mean TG level of 56.53 mmol/L on Day 1 to 21.75 mmol/L on Day 2 and finally to 6.86 mmol/L on Day 4. We consider this therapy very efficient, safe, simple to administer and monitor.

A new modified obstetric early warning score for prognostication of severe maternal morbidity.

BACKGROUND: Maternal mortality is still a major challenge for health systems, while severe maternal complications are the primary causes of maternal death. Our study aimed to determine whether severe maternal morbidity is effectively predicted by a newly proposed Modified Obstetric Early Warning Score (MOEWS) in the setting of an obstetric intensive care unit (ICU). METHODS: A retrospective study of pregnant women admitted in the ICU from August 2019 to August 2020 was conducted. MOEWS was calculated 24 h before and 24 h after admission in the ICU, and the highest score was taken as the final value. For women directly admitted from the emergency department, the worst value before admission was collected. The aggregate performance of MOEWS in predicting critical illness in pregnant women was evaluated and finally compared with that of the Acute Physiology and Chronic Health Evaluation II (APACHE II) score. RESULTS: A total of 352 pregnant women were enrolled; 290 women (82.4%) with severe maternal morbidity were identified and two of them died (0.6%). The MOEWSs of women with serious obstetric complications were significantly higher than those of women without serious obstetric complications [8(6, 10) vs. 4(2, 4.25), z = -10.347, P < 0.001]. MOEWSs of 24 h after ICU admission had higher sensitivity, specificity and AUROC than MOEWSs of 24 h before ICU admission. When combining the two MOEWSs, sensitivity of MOEWS was 99.3% (95% CI: 98-100), specificity 75.8% (95% CI: 63-86), positive predictive value (PPV) 95.1% (95% CI: 92-97) and negative predictive value (NPV) 95.9% (95% CI: 86-100). The areas under the receiver operator characteristic (ROC) curves of MOEWS were 0.92 (95% CI: 0.88-0.96) and 0.70 (95% CI: 0.63-0.76) of the APACHE II score. CONCLUSION: The newly proposed MOEWS has an excellent ability to identify critically ill women early and is more effective than APACHE II. It will be a valuable tool for discriminating severe maternal morbidity and ultimately improve maternal health.

The combination of lactate level, lactate clearance and APACHE II score better predicts short-term outcomes in critically Ill patients: a retrospective cohort study.

BACKGROUND: The mortality rate is high in critically ill patients due to the difficulty of diagnosis and treatment. Thus, it is very important to explore the predictive value of different indicators related to prognosis in critically ill patients. METHODS: This was a retrospective cohort study of patients in the intensive care unit (ICU) of the Sixth People's Hospital in Shanghai, China. A total of 1465 ICU patients had lactate values > 2.1 mmol/L at least once within 24 h of ICU admission, and arterial blood gas was monitored more than twice during the ICU stay. RESULTS: The predictive value of lactate clearance at 24 h was not high, and the sensitivity and specificity were lower. The predictive value of the lactate level at baseline and the APACHE II score was higher than that of lactate clearance at 24 h in critically ill patients. The predictive value of the lactate level at baseline combined with the APACHE II score was higher than that of the lactate level at baseline or the APACHE II score alone. In addition, the predictive value of lactate clearance at 24 h combined with the APACHE II score was also significantly higher than that of lactate clearance at 24 h or the APACHE II score alone. In particular, the area under the ROC curve reached 0.900, the predictive value was markedly higher than that of the ROC alone, and the sensitivity and specificity were better when these three indicators were combined. CONCLUSIONS: The combination of lactate level, lactate clearance and APACHE II score better predicts short-term outcomes in critically ill patients.

Outcomes of daytime nurse practitioner-staffed versus resident-staffed nonsurgical intensive care units: A retrospective observational study.

BACKGROUND: Rapid developments in medical care-such as monitoring devices, medications, and working hours restrictions for intensive care personnel-have dramatically increased the demand for intensive care physicians. Therefore, nurse practitioner (NP)-staffed care is becoming increasingly important. This study was aimed to compare the outcomes of daytime NP-staffed and daytime resident-staffed nonsurgical intensive care units (ICU). METHODS: We retrospectively assessed patients admitted to a nonsurgical ICU from March 2017 to December 2017. We collected basic patient data, including age, sex, admission diagnosis, transferring unit, and Acute Physiology and Chronic Health Evaluation II (APACHE II) score. Primary endpoints were ICU mortality, hospital mortality, and 30-day mortality. Secondary endpoints were 48-h readmission, discharge to nonhome locations, and lengths of ICU and hospital stay. RESULTS: A total of 838 subjects were analysed: 334 subjects in the NP-staffed group and 504 in the resident-staffed group. The NP-staffed group was more likely to come from inpatient units (38.3% vs 16.5% for resident-staffed group; p < 0.001) and had lower disease severity (APACHE II score, 13.9 ± 8.4 vs 15.1 ± 8.2 for resident-staffed group; p = 0.047). After adjusting for age, sex, location before ICU admission, APACHE II score, and significantly different basic characteristics, there were no differences in ICU mortality, hospital mortality, or 30-day mortality between the two groups. Secondary analysis showed the NP-staffed group had a lower discharge rate to nonhome locations (2.1% vs 6.3%; p = 0.023) and shorter hospital stay (12.1 ± 14.1 vs 14.2 ± 14.3 days; p = 0.015). CONCLUSIONS: We observed no difference in mortality between daytime NP-staffed and resident-staffed nonsurgical ICUs. Daytime NP-staffed care is an effective, safe, feasible method for staffing nonsurgical ICUs.

Assessment of APACHE II Score to Predict ICU Outcomes of Patients with AKI: A Single-center Experience from Haryana, North India.

Background: The acute physiology and chronic health evaluation (APACHE) II severity score has shown a good calibration and discriminatory value across a range of disease processes and remains the most widely used source of prognostic information on the risk for death in patients admitted to intensive care units (ICUs). Objectives: To study APACHE II scores in patients of acute kidney injury (AKI) admitted in the ICU and to find its association with outcome. Materials and methods: One hundred patients with AKI aged 18 years or above were admitted in the ICU, department of general medicine, of a tertiary care institute in Haryana, North India, from October 2019 to September 2020, were studied. Patients who had known causes of chronic kidney disease (CKD), on maintenance hemodialysis, and those who underwent renal replacement therapy (RRT) or nephrectomy were excluded. All required investigations were performed, and data were collected. The patients were followed till discharge or in-hospital mortality. Results: The mean age of the patients was 55.92 ± 18.18 years. Male-female ratio was 1.5:1. Thirty-five percent of the admitted patients had an in-hospital mortality. Sepsis (47%) was the most common cause of AKI, and 83% of the patients had underlying comorbid conditions. The mean APACHE II score of the expired patients on admission, i.e., 24.80 ± 13.65, was found to be significantly higher compared to the mean APACHE II score (17.25 ± 10.12) of the discharged patients (p-value <0.001). APACHE II score was found to have 57.14% sensitivity, 86.15% specificity, 69% PPV, 78.9% NPV, and 76% diagnostic accuracy to predict mortality among the AKI patients. Conclusion: APACHE II scoring system has a good discrimination and calibration when applied to ICU-admitted AKI patients and is a good predictor of prognosis in them. How to cite this article: Patel P, Gupta S, Patel H, Bashar MDA. Assessment of APACHE II Score to Predict ICU Outcomes of Patients with AKI: A Single-center Experience from Haryana, North India. Indian J Crit Care Med 2022;26(3):276-281.

Pneumonia scoring systems for severe COVID-19: which one is better.

PURPOSE: To investigate the predictive significance of different pneumonia scoring systems in clinical severity and mortality risk of patients with severe novel coronavirus pneumonia. MATERIALS AND METHODS: A total of 53 cases of severe novel coronavirus pneumonia were confirmed. The APACHE II, MuLBSTA and CURB-65 scores of different treatment methods were calculated, and the predictive power of each score on clinical respiratory support treatment and mortality risk was compared. RESULTS: The APACHE II score showed the largest area under ROC curve in both noninvasive and invasive respiratory support treatment assessments, which is significantly different from that of CURB-65. Further, the MuLBSTA score had the largest area under ROC curve in terms of death risk assessment, which is also significantly different from that of CURB-65; however, no difference was noted with the APACHE II score. CONCLUSION: For patients with COVID, the APACHE II score is an effective predictor of the disease severity and mortality risk. Further, the MuLBSTA score is a good predictor only in terms of mortality risk.

Improvement of APACHE II score system for disease severity based on XGBoost algorithm.

BACKGROUND: Prognostication is an essential tool for risk adjustment and decision making in the intensive care units (ICUs). In order to improve patient outcomes, we have been trying to develop a more effective model than Acute Physiology and Chronic Health Evaluation (APACHE) II to measure the severity of the patients in ICUs. The aim of the present study was to provide a mortality prediction model for ICUs patients, and to assess its performance relative to prediction based on the APACHE II scoring system. METHODS: We used the Medical Information Mart for Intensive Care version III (MIMIC-III) database to build our model. After comparing the APACHE II with 6 typical machine learning (ML) methods, the best performing model was screened for external validation on anther independent dataset. Performance measures were calculated using cross-validation to avoid making biased assessments. The primary outcome was hospital mortality. Finally, we used TreeSHAP algorithm to explain the variable relationships in the extreme gradient boosting algorithm (XGBoost) model. RESULTS: We picked out 14 variables with 24,777 cases to form our basic data set. When the variables were the same as those contained in the APACHE II, the accuracy of XGBoost (accuracy: 0.858) was higher than that of APACHE II (accuracy: 0.742) and other algorithms. In addition, it exhibited better calibration properties than other methods, the result in the area under the ROC curve (AUC: 0.76). we then expand the variable set by adding five new variables to improve the performance of our model. The accuracy, precision, recall, F1, and AUC of the XGBoost model increased, and were still higher than other models (0.866, 0.853, 0.870, 0.845, and 0.81, respectively). On the external validation dataset, the AUC was 0.79 and calibration properties were good. CONCLUSIONS: As compared to conventional severity scores APACHE II, our XGBoost proposal offers improved performance for predicting hospital mortality in ICUs patients. Furthermore, the TreeSHAP can help to enhance the understanding of our model by providing detailed insights into the impact of different features on the disease risk. In sum, our model could help clinicians determine prognosis and improve patient outcomes.

Predictive factors for successful INTELLiVENT-ASV® use: a retrospective observational study.

BACKGROUND: INTELLiVENT-ASV® (I-ASV) is a closed-loop ventilation mode that automatically controls the ventilation settings. Although a number of studies have reported the usefulness of I-ASV, the clinical situations in which it may be useful have not yet been clarified. We aimed to report our initial 3 years of experience using I-ASV, particularly the clinical conditions and the technical and organizational factors associated with its use. Furthermore, we evaluated the usefulness of I-ASV and determined the predictive factors for successful management with I-ASV. METHODS: This single-center, retrospective observational study included patients who were ventilated using the Hamilton G5® ventilator (Hamilton Medical AG, Rhäzüns, Switzerland) from January 2016 to December 2018. The patients were categorized into the "I-ASV success" group and "I-ASV failure" group (those receiving mechanical ventilation with I-ASV along with any other mode). Multivariate analysis was performed to identify factors associated with successful I-ASV management. RESULTS: Of the 189 patients, 135 (71.4%) were categorized into the I-ASV success group. In the I-ASV success group, the reasons for ICU admission included post-elective surgery (94.1%), post-emergent surgery (81.5%), and other medical reasons (55.6%). I-ASV failure was associated with a low P/F ratio (278 vs. 167, P = 0.0003) and high Acute Physiology and Chronic Health Evaluation (APACHE) II score (21 vs. 26, P < 0.0001). The main reasons for not using I-ASV included strong inspiratory effort and asynchrony. The APACHE II score was an independent predictive factor for successful management with I-ASV, with an odds ratio of 0.92 (95% confidential interval 0.87-0.96, P = 0.0006). The area under the receiver operating curve for the APACHE II score was 0.722 (cut-off: 24). CONCLUSIONS: In this study, we found that 71.4% of the fully mechanically ventilated patients could be managed successfully with I-ASV. The APACHE II score was an independent factor that could help predict the successful management of I-ASV. To improve I-ASV management, it is necessary to focus on patient-ventilator interactions.

SOFA score is superior to APACHE-II score in predicting the prognosis of critically ill patients with acute kidney injury undergoing continuous renal replacement therapy.

BACKGROUND: Acute kidney injury (AKI) is the most common cause of organ failure in multiple organ dysfunction syndrome (MODS) and is associated with increased mortality. This study aimed at determining the efficacy of sequential organ failure assessment (SOFA), and acute physiology and chronic health evaluation II (APACHE-II) scoring systems in assessing the prognosis of critically ill patients with AKI undergoing CRRT. METHODS: The predictive value of SOFA and APACHE-II scores for 28- and 90-d mortality in patients with AKI undergoing continuous renal replacement therapy (CRRT) were determined by multivariate analysis, sensitivity analysis, and curve-fitting analysis. RESULTS: A total of 836 cases were included in this study. Multivariate Cox logistic regression analysis showed that SOFA scores were associated with 28- and 90-d mortality in patients with AKI undergoing CRRT. The adjusted HR of SOFA for28-d mortality were 1.18 (1.14, 1.21), 1.24 (1.18, 1.31), and 1.19 (1.13, 1.24) in the three models, respectively, and the adjusted HR of SOFA for 90-d mortality was 1.12 (1.09, 1.16), 1.15 (1.10, 1.19), and 1.15 (1.10, 1.19), respectively. The subgroup analysis showed that the SOFA score was associated with 28-d and 90-d mortality in patients with AKI undergoing CRRT. APACHE-II score was not associated with 28- and 90-d mortality patients with AKI undergoing CRRT. Curve fitting analysis showed that SOFA scores increased had a higher prediction accuracy for 28- and 90-d than APACHE-II. CONCLUSIONS: The SOFA score showed a higher accuracy of mortality prediction in critically ill patients with AKI undergoing CRRT than the APACHE-II score.

[Value of APACHE.II score and DIC score in predicting the death of patients with heat stroke].

Objective: To investigate the predictive values of the acute physiology and chronic health evaluation II (APACHE.II) score and disseminated intravascular coagulation (DIC) score on death in patients with heat stroke. Methods: A total of 76 patients with heat stroke who were treated in Emergency Department of Harrison International Peace Hospital from June 2013 to September 2017 were studied. According to the outcome of patients, we distributed the patients to death group and survival group. APACHE.II score and DIC score were calculated according to the clinical data and the test results at admission. Evaluate the correlation between the two indicators associated with death. Results: There were 76 patients, with 23 deaths (30.3%) and 53 survivors (69.7%) . The APACHE-II score and DIC score were 26.26±6.48 and 4.00±1.38 in the death group.significantly higher than 20.74±4.17 and 2.28±1.21 in the survival group, and there were significant difference (P< 0.01) . The APACHE. II score was positively correlated with the DIC score, and the higher the score, the higher the mortality rate.Both indicators are significant for the Logitic regression analysis of death (P<0.01) .The sensitivity and specificity of the APACHE.II score were 65.2% and 81.1% in prediction of mortality, The sensitivity and specificity of DIC score were 65.2% and 84.9% in prediction of mortality. The specificity of the APACHE II score plus DIC score were higher than that of single APACHE. II score or DIC score in prediction of mortality (P<0.05) . Conclusion: The APACHE.II score and DIC score are significantly increased in the early stage of the patients with heat stroke, and the APACHE. II score combined with DIC score may improve the value in prediction of mortality with heat stroke.

Association between afterhours admission to the intensive care unit, strained capacity, and mortality: a retrospective cohort study.

BACKGROUND: Admission to the intensive care unit (ICU) outside daytime hours has been shown to be variably associated with increased morbidity and mortality. We aimed to describe the characteristics and outcomes of patients admitted to the ICU afterhours (22:00-06:59 h) in a large Canadian health region. We further hypothesized that the association between afterhours admission and mortality would be modified by indicators of strained ICU capacity. METHODS: This is a population-based cohort study of 12,265 adults admitted to nine ICUs in Alberta from June 2012 to December 2014. We used a path-analysis modeling strategy and mixed-effects multivariate regression analysis to evaluate direct and integrated associations (mediated through Acute Physiology and Chronic Health Evaluation (APACHE) II score) between afterhours admission (22:00-06:59 h) and ICU mortality. Further analysis examined the effects of strained ICU capacity and varied definitions of afterhours and weekend admissions. ICU occupancy ≥ 90% or clustering of admissions (≥ 0.15, defined as number of admissions 2 h before or after the index admission, divided by the number of ICU beds) were used as indicators of strained capacity. RESULTS: Of 12,265 admissions, 34.7% (n = 4251) occurred afterhours. The proportion of afterhours admissions varied amongst ICUs (range 26.7-37.8%). Patients admitted afterhours were younger (median (IQR) 58 (44-70) vs 60 (47-70) years, p < 0.0001), more likely to have a medical diagnosis (75.9% vs 72.1%, p < 0.0001), and had higher APACHE II scores (20.9 (8.6) vs 19.9 (8.3), p < 0.0001). Crude ICU mortality was greater for those admitted afterhours (15.9% vs 14.1%, p = 0.007), but following multivariate adjustment there was no direct or integrated effect on ICU mortality (odds ratio (OR) 1.024; 95% confidence interval (CI) 0.923-1.135, p = 0.658). Furthermore, direct and integrated analysis showed no association of afterhours admission and hospital mortality (p = 0.90) or hospital length of stay (LOS) (p = 0.27), although ICU LOS was shorter (p = 0.049). Early-morning admission (00:00-06:59 h) with ICU occupancy ≥ 90% was associated with short-term (≤ 7 days) and all-cause ICU mortality. CONCLUSIONS: One-third of critically ill patients are admitted to the ICU afterhours. Afterhours ICU admission was not associated with greater mortality risk in most circumstances but was sensitive to strained ICU capacity.

Use of the APACHE II score to assess impact of therapeutic plasma exchange for critically ill patients with hypertriglyceride-induced pancreatitis.

OBJECTIVES: Hypertriglyceridemic (HTG) pancreatitis carries significant morbidity and mortality and often requires intensive care unit (ICU) admission. Therapeutic plasma exchange (TPE) rapidly lowers serum triglyceride (TG) levels. However, evidence supporting TPE for HTG pancreatitis is lacking. METHODS: Ten patients admitted to the ICU for HTG pancreatitis underwent TPE at our institution from 2005-2015. We retrospectively calculated the Acute Physiology and Chronic Health Examination II (APACHE II) score at the time of initial TPE and again after the final TPE session to assess the impact of triglyceride apheresis on morbidity and mortality associated with HTG pancreatitis. RESULTS: All 10 patients had rapid reduction in TG level after TPE, but only 5 had improvement in their APACHE II score. The median APACHE II score decreased from 19% to 17% after TPE, correlating with an 8% and 9% decrease in median predicted non-operative and post-operative mortality, respectively. The APACHE II score did not differ statistically before and after TPE implementation in our patient group (p=0.39). CONCLUSION: TPE is a clinically useful tool to rapidly lower TG levels, but its impact on mortality of HTG pancreatitis as assessed by the APACHE II score remains uncertain.

A Comparison of the Intracerebral Hemorrhage Score and the Acute Physiology and Chronic Health Evaluation II Score for 30-Day Mortality Prediction in Spontaneous Intracerebral Hemorrhage.

BACKGROUND: The intracerebral hemorrhage (ICH) score is well established as a reliable prognostic score in ICH, whereas recently, Acute Physiology and Chronic Health Evaluation II (APACHE II) has been observed to have a better discrimination in predicting mortality in primary pontine hemorrhage. Further, physiological parameters of APACHE II have been associated with outcome in ICH. This study is the first to observe a direct comparison between APACHE II and ICH scores in predicting 30-day mortality in spontaneous intracerebral hemorrhage (SICH). MATERIALS AND METHODS: This study was a prospective observational study where we compared the receiver operating characteristic (ROCs) of baseline ICH and APACHE II scores in patients with SICH for predicting 30-day mortality outcome. RESULTS: We observed that both APACHE II and ICH scores were good for predicting 30-day mortality with both having an area under the ROC curve of more than .8 (.831 [95% confidence interval {CI}, .740-.922; P <.001] and .892 [95% CI, .757-.932; P <.001], respectively). However, the ICH score was better discriminative (area under the curve AUC, .892 versus .831; P = .040) and better calibrated (P = .037 versus P = .089, Hosmer-Lemeshow goodness-of-fit test for logistic regression) for the same. Both APACHE II and ICH scores had a sensitivity of 87% at cutoff values of 19 and 3, respectively; however, the ICH score had a better specificity (90% versus 76.5%). CONCLUSION: The ICH score was observed to have a better discrimination and calibration for predicting 30-day mortality in SICH.

Intensive Care Admissions in Pregnancy: Analysis of a Level of Support Scoring System.

OBJECTIVES: Development of a validated triaging system that can be used by obstetric providers to identify obstetric patients at risk of developing severe morbidity during an admission is urgently required. Maternal Critical Care Working Group (MCCWG) recommended a "level of care" strategy that based patient acuity needs on number of individual organ systems requiring support. The objective of this study was to apply the MCCWG level of support for critical care (MCCWG LOC) scoring to pregnant women admitted to an intensive care unit (ICU) to predict maternal outcomes and to compare it to the Acute Physiology and Chronic Health Evaluation (APACHE) II scoring system. METHODS: In this retrospective study, we applied the MCCWG LOC scoring to pregnant women admitted to an ICU at the Detroit Medical Center, between January 2006 and December 2010. The MCCWG LOC was scored on admission to the ICU, and patients were subsequently divided into two groups (Group 1, patients requiring Level 1 and 2 support and Group 2, patients requiring level 3a and 3b support) and their outcome variables were compared. The MCCWG LOC scores were also compared to APACHE II scoring, an ICU scoring system, to test if an alignment of the two systems existed, and if they were able to predict outcomes such as death, hospital and intensive care stay. RESULTS: Sixty-nine pregnant women (0.25% of deliveries) required admission to the ICU and 3 maternal deaths were reported. Sixty-four (92.7%) patients had pre-existing medical problems. Fifty-eight (84%) of admissions were secondary to a medical diagnosis. Mean APACHE II score (p < 0.018) and APACHE II predicted mortality rate were significantly higher in Group 2 (p < 0.018). The hospital length of stay (LOS) (p < 0.017) and ICU LOS (p < 0.0001) were significantly longer in Group 2 as compared to Group 1. Group 2 patients required more interventions while in the ICU (p < 0.0001). All the patients who died were classified as Group 2. CONCLUSIONS FOR PRACTICE: In a cohort of women requiring intensive care admission during pregnancy, MCCWG LOC, a simplified organ system based, triaging scoring system, predicted maternal outcomes and correlated with APACHE II score. Our data support initiatives for further development and testing of global obstetric triaging scoring systems for the purposes of risk stratification, monitoring of quality and resource allocation.

The effects of fluid resuscitation according to PiCCO on the early stage of severe acute pancreatitis.

OBJECTIVES: To evaluate the therapeutic effect of early fluid resuscitation under the guidance of Pulse indicator Continuous Cardiac Output (PiCCO) on patients with severe acute pancreatitis (SAP). METHODS: Clinical data of 18 SAP patients (the study group), who had undergone fluid resuscitation under the guidance of PiCCO from October 2011 to October 2013, were analyzed prospectively. Clinical data of 25 cases (control group) who had undergone fluid resuscitation without the guidance of PiCCO from January 2009 to September 2011 were collected. Then, retrospective and prospective case-control study was carried out. RESULTS: During the first 6 h, 0-24 h, 24-48 h, and 0-72 h of admission, the study group received more volume of fluid than the control group. There were significantly faster decline of APACHE II score and the value of blood lactate in study group, as well as the length of ICU stay and the proportion of renal failure at 72 h of admission. According to the 2012 Atlanta classification, six cases in study group turned into moderate SAP (33.30%), significantly higher than the control group (8.00%) (p = 0.0049). The volume of fluid infusion and clinical parameters were linearly relative. CONCLUSIONS: The PiCCO device may be a useful adjunct for fluid resuscitation monitoring in patients with SAP in the early stage. Early fluid resuscitation under the guidance of PiCCO can improve tissue perfusion, reduce the SIRS persistence time and the length of ICU stay. This program did not increase the risk of respiratory failure and influence the mortality.

A study of Thai patients with systemic lupus erythematosus in the medical intensive care unit: epidemiology and predictors of mortality.

In this retrospective study, we described demographic information, reasons for admission, APACHE II severity scores, complications, mortality rate, causes of death and prognostic factors in 61 Thai patients with systemic lupus erythematosus (SLE) who were admitted to the medical intensive care unit (ICU) over a six-year period. The overall mortality rate during ICU hospitalization was 57% and the most common cause of death was infection, especially in the lower respiratory tract. The mean (SD) APACHE II score was 24.8 (10.8). SLE patients who had an APACHE II score of 20 or more were up to 65% of the patient population and had a significantly lower probability of survival based on Kaplan-Meier results (p = 0.004). The need for vasopressor therapy was significantly higher in patients who did not survive (OR = 6.98, 95% CI = 1.91-25.49). The patients who developed ventilator-associated pneumonia had a numerically higher mortality, which was not statistically significant (OR = 4.17, 95% CI = 0.91-19.03). The use of azathioprine as a steroid-sparing agent for SLE was associated with lower mortality rates (OR = 0.08, 95% CI = 0.01-0.58). Our findings emphasize that Thai SLE patients admitted to the medical ICU has a high mortality rate and early aggressive treatments are warranted.