Multiple organ dysfunction associated with severe acute pancreatitis

OBJECTIVE: To compare three different multiple organ dysfunction scores in predicting hospital mortality rates and to discover which one best assesses organ dysfunction/failure in patients with severe acute pancreatitis in a general intensive care unit. DESIGN: Retrospective, observational study. SETTING: Surgical department and a ten-bed general intensive care unit in a tertiary care hospital. PATIENTS: Among the 178 consecutive patients admitted to the surgical department with severe acute pancreatitis from 1994 to 1998, 113 patients treated in the general intensive care unit underwent study. INTERVENTIONS: None. MEASUREMENT AND MAIN RESULTS: Clinical and laboratory data were collected during a period of 35 days. Acute Physiology and Chronic Health Evaluation (APACHE) II, Multiple Organ Dysfunction (MOD) score, Sequential Organ Failure Assessment (SOFA) score, and Logistic Organ Dysfunction (LOD) score were calculated and compared regarding hospital mortality rate. In addition, daily maximum score and a total maximum score (sum of the highest values for each organ dysfunction) were calculated for all three scores. The area under the receiver operating characteristic curve was used as a measure of accuracy of the scores. The highest accuracy was revealed with daily maximum scores with the area under the receiver operating characteristic curve 0.847 for SOFA, 0.844 for MOD, and 0.836 for LOD. According to the maximum SOFA score, the highest mortality rate was associated with liver (83%, p <.001) and renal (63%, p <.001) failures. The mortality ratio with two organ failures ranged from 50% to 91%. The highest mortality rate (91%) was for a combination of hepatic and renal failure. In multiple logistic regression analysis, only hepatic, renal, and cardiovascular failure and previous cardiovascular medication were independent risk factors for hospital mortality. CONCLUSION: In patients with severe acute pancreatitis, organ dysfunction scores (MOD, SOFA, LOD) show good accuracy, comparable with APACHE II in predicting hospital mortality. The maximum daily organ dysfunction scores were simple and useful in assessing multiple organ dysfunction and in predicting hospital mortality rates of patients with severe acute pancreatitis.     

The Multiple Organ Dysfunction Score as a descriptor of patient outcome in septic shock compared with two other scoring systems.

OBJECTIVE: To demonstrate if daily Multiple Organ Dysfunction scoring could describe outcome groups in septic shock better than daily Acute Physiology and Chronic Health Evaluation (APACHE) II and Organ Failure scores. DESIGN: A prospective cohort study. SETTING: A medical and surgical adult intensive care unit (ICU) at a tertiary referral center. MEASUREMENTS AND MAIN RESULTS: Daily data collection over a 14-month period was performed on 368 ICU patients, 39 of whom developed septic shock while in the ICU. These data were entered into a computer programmed to calculate APACHE II, Organ Failure, and Multiple Organ Dysfunction scores. The admission Multiple Organ Dysfunction scores for nonsurvivors and survivors of septic shock in the ICU was 6.5 +/- 2.7 and 6.6 +/- 2.8 (SD), respectively. These patients deteriorated due to the development of septic shock during their ICU stay resulting in a maximum Multiple Organ Dysfunction score of 12.2 +/- 3.7 in nonsurvivors and 9.4 +/- 2.7 in survivors (p < .05). The difference between the maximum and initial Multiple Organ Dysfunction scores (delta score) was also significantly greater in nonsurvivors than in survivors (5.6 +/- 4.7 vs. 2.8 +/- 3.0) (p < .05). There were no significant differences between the maximum and delta scores in the outcome groups using the APACHE II and Organ Failure scoring systems. These results were mirrored by 2.3 +/- 0.7 and 1.7 +/- 0.5 organ failures in nonsurvivors and survivors, respectively (p < .01). For all 368 patients, the initial and maximum Multiple Organ Dysfunction scores were 3.5 +/- 2.5 and 10.5 +/- 3.6, respectively. CONCLUSION: Maximum and delta Multiple Organ Dysfunction scores mirrored organ dysfunction and could accurately describe the outcome groups, whereas daily APACHE II and Organ Failure scores could not.     

The Multiple Organ Dysfunction Score (MODS) versus the Sequential Organ Failure Assessment (SOFA) score in outcome prediction

OBJECTIVE: To compare outcome prediction using the Multiple Organ Dysfunction Score (MODS) and the Sequential Organ Failure Assessment (SOFA), two of the systems most commonly used to evaluate organ dysfunction in the intensive care unit (ICU). DESIGN: Prospective, observational study. SETTING: Thirty-one-bed, university hospital ICU. PATIENTS AND PARTICIPANTS: Nine hundred forty-nine ICU patients. MEASUREMENTS AND RESULTS: The MODS and the SOFA score were calculated on admission and every 48 h until ICU discharge. The Acute Physiology and Chronic Health Evaluation (APACHE) II score was calculated on admission. Areas under receiver operating characteristic (AUROC) curves were used to compare initial, 48 h, 96 h, maximum and final scores. Of the 949 patients, 277 died (mortality rate 29.1%). Shock was observed in 329 patients (mortality rate 55.3%). There were no significant differences between the two scores in terms of mortality prediction. Outcome prediction of the APACHE II score was similar to the initial MODS and SOFA score in all patients, and slightly worse in patients with shock. Using the scores' cardiovascular components (CV), outcome prediction was better for the SOFA score at all time intervals (initial AUROC SOFA CV 0.750 vs MODS CV 0.694, p<0.01; 48 h AUROC SOFA CV 0.732 vs MODS CV 0.675, p<0.01; and final AUROC SOFA CV 0.781 vs MODS CV 0.674, p<0.01). The same tendency was observed in patients with shock. There were no significant differences in outcome prediction for the other five organ systems. CONCLUSIONS: MODS and SOFA are reliable outcome predictors. Cardiovascular dysfunction is better related to outcome with the SOFA score than with the MODS.     

Recent innovations in intensive care unit risk-prediction models

During the past 20 years, ICU risk-prediction models have undergone significant development, validation, and refinement. Among the general ICU severity of illness scoring systems, the Acute Physiology and Chronic Health Evaluation (APACHE), Mortality Prediction Model (MPM), and the Simplified Acute Physiology Score (SAPS) have become the most accepted and used. To risk-adjust patients with longer, more severe illnesses like sepsis and acute respiratory distress syndrome, several models of organ dysfunction or failure have become available, including the Multiple Organ Dysfunction Score (MODS), the Sequential Organ Failure Assessment (SOFA), and the Logistic Organ Dysfunction Score (LODS). Recent innovations in risk adjustment include automatic physiology and diagnostic variable retrieval and the use of artificial intelligence. These innovations have the potential of extending the uses of case-mix and severity-of-illness adjustment in the areas of clinical research, patient care, and administration. The challenges facing intensivists in the next few years are to further develop these models so that they can be used throughout the IUC stay to assess quality of care and to extend them to more specific patient groups such as the elderly and patients with chronic ICU courses.     

Characterization of multiple organ dysfunction syndrome in very low birthweight infants: a new sequential scoring system

To define multiple organ dysfunction in newborns, we established a sequential scoring system NEOMOD (Neonatal Multiple Organ Dysfunction Score). It was developed to describe the process of increasing physiologic derangement in critically ill newborns. It provides, during the first 28 days of life, information concerning function of organ systems having a primary influence on mortality in very low birth weight (VLBW) infants. Our scoring system has been used in 142 VLBW infants. It evaluates moderate (1 point) or severe dysfunction (2 points) in 7 organ systems (central nervous system, cardiovascular, renal, respiratory, and gastrointestinal systems, and hemocoagulation and acid-base balance) in 24-h intervals from day 1 to 28 of life. Maximum possible value of NEOMOD was 14 points. Receiver operating characteristic curve was used for assessing predictive accuracy of maximum NEOMOD score obtained by daily scoring for mortality rate. AUC (area under curve) attained by NEOMOD was 0.95 for mortality within the first 28 days and 0.91 for hospital mortality, respectively. In the study group, NEOMOD score of > or = 9 was associated with 100% mortality. An analysis of specific organ dysfunctions in the non-survivors group (n = 16) disclosed, in all patients, dysfunction of more than two organ systems 24 h before death. Similar to critically ill adults, secondary multiple organ dysfunction can be described also in a majority of critically ill VLBW infants. NEOMOD scores may help to evaluate daily the severity of the syndrome and risk of death.     

Critical Care in the Emergency Department A Physiologic Assessment and Outcome Evaluation

OBJECTIVES: The changing landscape of health care in this country has seen an increase in the delivery of care to critically ill patients in the emergency department (ED). However, methodologies to assess care and outcomes similar to those used in the intensive care unit (ICU) are currently lacking in this setting. This study examined the impact of ED intervention on morbidity and mortality using the Acute Physiology and Chronic Health Evaluation (APACHE II), the Simplified Acute Physiology Score (SAPS II), and the Multiple Organ Dysfunction Score (MODS). METHODS: This was a prospective, observational cohort study over a three-month period. Critically ill adult patients presenting to a large urban ED and requiring ICU admission were enrolled. APACHE II, SAPS II, and MODS scores and predicted mortality were obtained at ED admission, ED discharge, and 24, 48, and 72 hours in the ICU. In-hospital mortality was recorded. RESULTS: Eighty-one patients aged 64 +/- 18 years were enrolled during the study period, with a 30.9% in-hospital mortality. The ED length of stay was 5.9 +/- 2.7 hours and the hospital length of stay was 12.2 +/- 16.6 days. Nine (11.1%) patients initially accepted for ICU admission were later admitted to the general ward after ED intervention. Septic shock was the predominant admitting diagnosis. At ED admission, there was a significantly higher APACHE II score in nonsurvivors (23.0 +/- 6.0) vs survivors (19.8 +/- 6.5, p = 0.04), while there was no significant difference in SAPS II or MODS scores. The APACHE II, SAPS II, and MODS scores were significantly lower in survivors than nonsurvivors throughout the hospital stay (p 相似文献   

Characteristics and outcomes for critically ill patients with prolonged intensive care unit stays

OBJECTIVE: Prolonged stay in the intensive care unit (ICU) is associated with high mortality, morbidity, and costs. Identifying those patients who are most likely to benefit from an extended ICU stay would be helpful in guiding clinical decisions. We sought to describe the characteristics and outcomes for a heterogeneous group of patients who required a prolonged ICU stay. DESIGN: Observational study. SETTING: Adult ICUs of three teaching and five community hospitals. PATIENTS: The study group comprised 5,881 patients consecutively admitted to the ICUs during a 10-month period. MEASUREMENTS AND MAIN RESULTS: A prolonged stay was defined as one >21 days at teaching hospitals and >10 days at community hospitals. For patients meeting the criteria of prolonged stay, Therapeutic Intervention Scoring System (TISS) score and Multiple Organ Dysfunction Score (MODS) were measured prospectively from days 10 and 21 in community and teaching hospitals, respectively, and retrospectively before this. Prolonged-stay patients represented 5.6% of ICU admissions and 39.7% of ICU bed-days. Compared with short-stay patients, they were significantly older and had higher admission Acute Physiology and Chronic Health Evaluation (APACHE) II scores (p < .01). ICU and hospital mortality for prolonged-stay patients were 24.4% and 35.2%, respectively, compared with 11% and 15.9% for short-stay patients (p < .001). Mean admission TISS and MODS scores for prolonged-stay patients were 30.8 (sd, 11.1) and 4.8 (sd, 3.3) respectively. For prolonged-stay patients the dominant reason for ICU care was multiple organ failure (37.8%), ventilator support (30.7%), or nonventilated single organ failure (31.5%). Hospital mortality was highest in the group with multiple organ failure (53%). CONCLUSIONS: We developed a method to broadly classify a heterogeneous population of prolonged-stay ICU patients on the basis of MODS and the ICU interventions received. Mortality among prolonged-stay patients was highest for those with multiple organ failure. Future research should evaluate whether the proposed classification system can be used to influence the delivery of ICU care.     

Calibration and discrimination by daily Logistic Organ Dysfunction scoring comparatively with daily Sequential Organ Failure Assessment scoring for predicting hospital mortality in critically ill patients

OBJECTIVE: The Logistic Organ Dysfunction (LOD) score has been proved effective in evaluating severity during the first day in an intensive care unit but has not been evaluated later. To evaluate attributable mortality related to nosocomial events, organ dysfunction scores that remain accurate throughout the intensive care unit stay are needed. The objective of this study was to evaluate how accurately daily LOD scoring predicts mortality comparatively with daily Sequential Organ Failure Assessment (SOFA) scoring. DESIGN: Prospective multicenter study. SETTING: Six intensive care units in France. PATIENTS: A total of 1685 patients with intensive care unit stays longer than 48 hrs were included in this study (511 hospital deaths). Median age was 66 yrs, and median Simplified Acute Physiology Score II at admission was 38. For each patient, a senior physician recorded the variables needed to compute organ dysfunction scores daily throughout the intensive care unit stay. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: SOFA and LOD scores were computed daily during the first 7 days. Calibration was evaluated based on goodness-of-fit by the Hosmer-Lemeshow chi-square statistic (lower chi-square values and higher values indicate better fit) and discrimination based on the receiver operating characteristics (ROC) area under the curve (AUC; a ROC-AUC of 1 indicates faultless discrimination and a ROC-AUC of 0.5 indicates the effects of chance alone). Because calibration of both scores was poor at all time points ( p<.001), customization was performed using the total score (model 1) or separate introduction of each dysfunction (model 2). The performance of customized LOD and SOFA scores on a given day in predicting mortality was assessed in those patients who spent at least one more calendar day in the intensive care unit. The original LOD and SOFA scores had satisfactory ROC-AUC values (0.720 to 0.766). Internal consistency of both scores was acceptable ( p< 10(-4) for each organ dysfunction). After customization, the original scores calibrated well between days 1 and 7. Discrimination by both scores was better with model 2 (AUC-ROC, 0.729-0.784). CONCLUSION: Daily LOD and SOFA scores showed good accuracy and internal consistency, and they could be used to adjust severity for events occurring in the intensive care unit.     

Changes in severity and organ failure scores as prognostic factors in onco-hematological malignancy patients admitted to the ICU

Objective To determine whether severity and organ failure scores over the first 3 days in an ICU predict in-hospital mortality in onco-hematological malignancy patients.Design and setting Retrospective study in a 22-bed medical ICU.Patients 92 consecutive patients with onco-hematological malignancies including 20 hematopoietic stem cell transplantation (HSCT) patients (11 with allogenic HSCT).Measurements Simplified Acute Physiology Score (SAPS) II, Organ Dysfunction and/or Infection (ODIN) score, Logistic Organ Dysfunction System (LODS), and Sequential Organ Failure Assessment (SOFA) score were recorded on admission. The change in each score (Δ score) during the first 3 days in the ICU was calculated as follows: severity or organ failure score on day 3 minus severity or organ failure score on day 1, divided by severity or organ failure score on day 1.Results In-hospital mortality was 58%. Using multivariate analysis in-hospital mortality was predicted by all scores on day 1 and all Δ scores. Areas under the receiver operating characteristics curves were similar for SAPS II (0.78), ODIN (0.78), LODS (0.83), and SOFA (0.78) scores at day 1. They were also similar for ΔSAPS II, ΔODIN, ΔLODS, and ΔSOFA. Similar results were observed when excluding patients with allogenic HSCT.Conclusion Severity and three organ failure scores on day 1 and Δ scores perform similarly in predicting in-hospital mortality in ICU onco-hematological malignancy patients but do not predict individual outcome. Decision to admit such patients to the ICU or to forgo life-sustaining therapies should not be based on these scores.Electronic supplementary material Supplementary material is available in the online version of this article at and is accesible for authorized users.     

Intensive care unit support and Acute Physiology and Chronic Health Evaluation III performance in hematopoietic stem cell transplant recipients

OBJECTIVE: Hematopoietic stem cell transplant (HSCT) recipients admitted to the intensive care unit (ICU) have high mortality. The prognostic importance of peripheral blood stem cell source in critically ill HSCT recipients and the performance of Acute Physiology and Chronic Health Evaluation (APACHE) III have not been well studied. In a previous study, the hospital mortality rate of HSCT recipients admitted to our ICU was 77%. The objectives of this study were to describe the clinical course of HSCT recipients admitted to the ICU and to determine the performance of APACHE III in predicting their mortality. DESIGN: Retrospective cohort study. SETTING: Academic medical center. PATIENTS: HSCT recipients admitted to the ICU. MEASUREMENTS: Demographics, transplant type, stem cell source, APACHE II and III predicted mortality, development of sepsis and organ failure, use of mechanical ventilation, duration of hospital stay, and mortality. RESULTS: Ninety-four percent of the 112 HSCT recipients were white and 64% male. The mean APACHE II and III scores were 25 and 44, respectively. The APACHE II and III hospital predicted mortality rates were 44% and 42%, respectively. Mechanical ventilation was provided to 63%. Organ failure developed in 94% and sepsis in 62%. The ICU, hospital, and 30-day mortality rates were 33%, 46%, and 52%, respectively. Allogeneic transplant and higher APACHE III scores, but not bone marrow stem cell source, were associated with increased mortality. Invasive mechanical ventilation, vasoactive medication use, sepsis, and organ failure during patients' ICU course were also associated with increased mortality. The area under the receiver operating characteristic curve for APACHE III hospital mortality prediction was 0.704 (95% confidence interval, 0.610-0.786). For APACHE III hospital mortality prediction, the value of the Hosmer-Lemeshow statistic showed good model fit. CONCLUSIONS: Current mortality figures of HSCT recipients admitted to the ICU are better than previously reported. The APACHE III prognostic model has moderate discrimination and good calibration in predicting hospital mortality in these patients.     

Validation of the multiple organ dysfunction (MOD) score in critically ill medical and surgical patients

Objective To validate the Multiple Organ Dysfunction (MOD) score externally.Design Prospective observational cohort study.Setting Mixed medical/surgical ICU in a tertiary referral university hospital.Patients and participants Thousand eight hundred and nine patients admitted to ICU for more than 24 h over a 3-year period.Interventions None.Measurements and results The MOD score was calculated daily for all patients. The criterion validity of the individual organ scores, the maximal MOD score and the change in MOD score were assessed by examining the relationship between increasing scores and ICU mortality. Increased maximal MOD scores and each of the six individual organ scores, and change in MOD scores were associated with increased mortality.Conclusions Maximal and individual organ scores have criterion validity when tested in a different ICU from that in which the scores were derived, indicating that the scoring systems are reproducible. The association of change in MOD score with mortality indicates that the score is responsive. These data, combined with previous data establishing concept and content validity, indicate that the MOD score is a valid measure of multi-organ dysfunction.     

Dynamic evolution of coagulopathy in the first day of severe sepsis: relationship with mortality and organ failure

OBJECTIVE: To determine whether changes in coagulation biomarkers during the first day of severe sepsis correlate with progression from single to multiple organ failure and subsequent death. DESIGN: Analysis of secondary endpoints in a prospective, randomized, placebo-controlled, multinational clinical trial (PROWESS). SETTING: The study involved 164 medical centers. PATIENTS: A total of 840 patients who met criteria for severe sepsis and were randomized to receive placebo plus supportive care. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Coagulation biomarkers, prothrombin time, antithrombin activity, and D-dimer and protein C levels were measured, and Sequential Organ Failure Assessment was performed daily. Multiple logistic regression analysis identified baseline antithrombin activity <54% and changes in prothrombin time, D-dimer, and antithrombin activity during the first calendar day after the onset of the first sepsis-induced organ dysfunction (i.e., the first day of severe sepsis, day 1) as predictive of 28-day mortality (p < or = .01). A composite coagulopathy score was determined using points for predetermined levels of change from baseline to day 1. The composite coagulopathy score correlated with progression from single to multiple organ failure (p = .0007), time to resolution of organ failure (p = .0004), and 28-day mortality (p < .0001). Combining the composite coagulopathy score with the Acute Physiology and Chronic Health Evaluation (APACHE) II score improved ability to identify patients who would progress to multiple organ failure (area under receiver operating characteristic curve 0.61 APACHE II vs. 0.65 APACHE II + composite coagulopathy score) and who would die (area under receiver operating characteristic curve 0.69 APACHE II vs. 0.74 APACHE II + composite coagulopathy score). CONCLUSIONS: Continuation or worsening of coagulopathy during the first day of severe sepsis was associated with increased development of new organ failure and 28-day mortality. These results further suggest that coagulation abnormalities contribute to organ failure and death.     

Characteristics associated with analgesia ordering in the intensive care unit and relationships with outcome

OBJECTIVE: To describe clinical characteristics associated with analgesia utilization in the intensive care unit. DESIGN: A prospective cohort study of adult patients admitted to a medical intensive care unit. SUBJECTS: Four hundred adult patients. SETTING: Twelve-bed medical intensive care unit of an inner-city, university-affiliated hospital. MEASUREMENTS AND MAIN RESULTS: Collected data included demographics, sedation and neuromuscular blocking agents used, mechanical ventilation, hemodynamic monitoring, Therapeutic Intervention Scoring System score, Logistic Organ Dysfunction System (LODS) score, and Acute Physiology and Chronic Health Evaluation (APACHE) II score. Hospital outcome was noted. The odds ratio and 95% confidence intervals were determined by using multiple logistic regression analyses. Patients' mean age (+/-sd) was 47.8 +/- 17.1 yrs; 58% were male, 84% African-American. Their APACHE II-predicted hospital mortality rate was 33%. Analgesics were used in 36% of patients. There were no differences in demographics, initial LODS score, APACHE II score, and mechanical ventilation use between patients who did and did not receive analgesics. Multiple logistic regression analysis showed that analgesic use was independently associated with sedation (odds ratio, 2.47; 95% confidence interval, 1.47-4.14), neuromuscular blockade (odds ratio, 4.98; 95% confidence interval, 1.85-13.41), and pulmonary artery flotation catheter utilization (odds ratio, 2.31; 95% confidence interval, 1.27-4.20). The median duration of mechanical ventilation was 5 days for those who received analgesia compared with 2 for those who did not (p =.0001). The median length of stay in the intensive care unit (4 vs. 2, p <.0001) and hospital (11 vs. 7, p <.0001) was higher in patients who received analgesics. There were no significant differences in intensive care unit and hospital mortality rates between patients who did and did not receive analgesics. CONCLUSIONS: Intensive care unit patients for whom analgesics were prescribed have a higher frequency of hemodynamic monitoring and use of sedative and neuromuscular blocking agents, more mechanical ventilation days, and longer intensive care unit and hospital lengths of stay.     

Mortality after discharge from intensive care: the impact of organ system failure and nursing workload use at discharge

OBJECTIVES: Mortality after ICU discharge accounts for approx. 20-30% of deaths. We examined whether post-ICU discharge mortality is associated with the presence and severity of organ dysfunction/failure just before ICU discharge. PATIENTS AND METHODS: The study used the database of the EURICUS-II study, with a total of 4,621 patients, including 2,958 discharged alive to the general wards (post-ICU mortality 8.6%). Over a 4-month period we collected clinical and demographic characteristics, including the Simplified Acute Physiology Score (SAPS II), Nine Equivalents of Nursing Manpower Use Score, and Sequential Organ Failure Assessment (SOFA) score. RESULTS: Those who died in the hospital after ICU discharge had a higher SAPS II score, were more frequently nonoperative, admitted from the ward, and had stayed longer in the ICU. Their degree of organ dysfunction/failure was higher (admission, maximum, and delta SOFA scores). They required more nursing workload resources while in the ICU. Both the amount of organ dysfunction/failure (especially cardiovascular, neurological, renal, and respiratory) and the amount of nursing workload that they required on the day before discharge were higher. The presence of residual CNS and renal dysfunction/failure were especially prognostic factors at ICU discharge. Multivariate analysis showed only predischarge organ dysfunction/failure to be important; thus the increased use of nursing workload resources before discharge probably reflects only the underlying organ dysfunction/failure. CONCLUSIONS: It is better to delay the discharge of a patient with organ dysfunction/failure from the ICU, unless adequate monitoring and therapeutic resources are available in the ward.     

Thrombocytopenia and prognosis in intensive care

OBJECTIVE: To study the incidence and prognosis of thrombocytopenia in adult intensive care unit (ICU) patients. DESIGN: Prospective observational cohort study. SETTING: The medical ICU of a university hospital and the combined medical-surgical ICU of a regional hospital. PATIENTS: All patients consecutively admitted during a 5-month period. INTERVENTIONS: Patient surveillance and data collection. MEASUREMENTS AND MAIN RESULTS: The primary outcome measure was ICU mortality. Data of 329 patients were analyzed. Overall ICU mortality rate was 19.5%. A total of 136 patients (41.3%) had at least one platelet count <150 x 10(9)/L. These patients had higher Multiple Organ Dysfunction Score (MODS), Simplified Acute Physiology Score (SAPS) II, and Acute Physiology and Chronic Health Evaluation (APACHE) II scores at admission, longer ICU stay (8 [4-16] days vs. 5 [2-9] days) (median [interquartile range]), and higher ICU mortality (crude odds ratio [OR], 5.0; 95% confidence interval [CI], 2.7-9.1) and hospital mortality than patients with daily platelet counts >150 x 10(9)/L (p < .0005 for all comparisons). Bleeding incidence rose from 4.1% in nonthrombocytopenic patients to 21.4% in patients with minimal platelet counts between 101 x 10(9)/L and 149 x 10(9)/L (p = .0002) and to 52.6% in patients with minimal platelet counts <100 x 10(9)/L (p < .0001). In all quartiles of admission APACHE II and SAPS II scores, a nadir platelet count <150 x 10(9)/L was related with a substantially poorer vital prognosis. Similarly, a drop in platelet count to < or =50% of admission was associated with higher death rates (OR, 6.0; 95% CI, 3.0-12.0; p < .0001). In a logistic regression analysis with ICU mortality as the dependent variable, the occurrence of thrombocytopenia had more explanatory power than admission variables, including APACHE II, SAPS II, and MODS scores (adjusted OR, 4.2; 95% CI, 1.8-10.2). CONCLUSIONS: Thrombocytopenia is common in ICUs and constitutes a simple and readily available risk marker for mortality, independent of and complementary to established severity of disease indices. Both a low nadir platelet count and a large fall of platelet count predict a poor vital outcome in adult ICU patients.     

Les scores de gravité généraux et de dysfonctions d’organes en réanimation pédiatrique : quoi de neuf en 2016 ?

Severity of illness and organ dysfunction scoring systems are increasingly used in adult and pediatric intensive care unit (PICU) to characterize disease severity and degree of organ dysfunction. In PICU, severity of illness scores are developed independently of diagnosis, taking into account the age of the different populations. Severity of illness scores were developed to better describe the severity of illness at baseline of groups of critically ill patients. Two systems are available: the pediatric index of mortality (PIM)—latest version PIM3 published in 2013, and the Pediatric RISk of Mortality (PRISM) system, which should be used in critically ill neonates, infants, children, or adolescents, (excluding premature infants)—latest version PRISM IV published in 2016. Organ dysfunction scores were developed to better describe the severity of illness during stay in the PICU. The Pediatric Logistic Organ Dysfunction score is the most commonly used pediatric organ dysfunction score—latest version PELOD-2 published in 2013. The purpose of this review is to provide an update about severity of illness and organ dysfunction scoring systems in PICU, to describe tools to evaluate performance and customization, and then discuss utility, limits and perspectives for scoring systems in PICU.     

Non-neurologic organ dysfunction in severe traumatic brain injury

OBJECTIVE: To describe the incidence of non-neurologic organ dysfunction and its association with outcome in patients with severe traumatic brain injury admitted to intensive care. DESIGN: Observational cohort study. SETTING: Foothills Medical Centre, which is the only neurosurgical service in southern Alberta (population approximately 1.3 million). PATIENTS: Patients were 209 consecutive patients with severe traumatic brain injury. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Non-neurologic organ dysfunction was measured by the maximum modified multiple organ dysfunction score. Organ system failure was defined as a component score of >/=3 on any day during the patient's intensive care unit stay. One hundred and eighty-five patients (89%) developed dysfunction of at least one non-neurologic organ system. Ninety-six organ system failures were identified in 74 patients (35%). Respiratory failure was the most common non-neurologic organ system failure, occurring in 23% of patients, whereas cardiovascular failure occurred in 18%. Eight patients (4%) had failure of the coagulation system. One patient had renal failure, whereas no patient developed hepatic failure. In a multivariate model, non-neurologic organ dysfunction was independently associated with hospital mortality (odds ratio for hospital mortality, 1.63; 95% confidence interval, 1.34, 1.98 for one maximum modified multiple organ dysfunction score point). Non-neurologic organ dysfunction was also independently associated with dichotomized Glasgow Outcome Score, as a measure of neurologic outcome (odds ratio for unfavorable neurologic outcome, 1.53; 95% confidence interval, 1.22, 1.98 for one maximum modified multiple organ dysfunction score point). The timing of the organ dysfunction did not appear to be important in the prediction of outcome. CONCLUSIONS: Non-neurologic organ dysfunction is common in patients with severe traumatic brain injury and is independently associated with worse outcome.     

Prognostic utility and characterization of cell-free DNA in patients with severe sepsis

ABSTRACT: INTRODUCTION: Although sepsis is the leading cause of death in non-coronary critically ill patients, identification of patients at high risk of death remains a challenge. In this study, we examined the incremental usefulness of adding multiple biomarkers to clinical scoring systems for predicting ICU mortality in patients with severe sepsis. METHODS: This is a retrospective observational study using stored plasma samples obtained from 80 severe sepsis patients recruited at three tertiary hospital intensive care units (ICU) in Hamilton, Ontario, Canada. Clinical data and plasma samples were obtained at study inclusion for all 80 patients, and then daily for 1 week and weekly thereafter for a subset of 50 patients. Plasma levels of cell-free DNA (cfDNA), IL-6, thrombin, and protein C, were measured and compared with clinical characteristics, including the primary outcome of ICU mortality and morbidity measured by Multiple Organ Dysfunction (MODS) score and Acute Physiology and Chronic Health Evaluation (APACHE) II scores. RESULTS: The level of cfDNA in plasma at study inclusion had better prognostic utility than MODS or APACHE II scores, or the biomarkers measured. The area under the Receiver Operating Characteristic (ROC) curves for cfDNA to predict ICU mortality is 0.97 (95% CI, 0.93-1.00) and to predict hospital mortality is 0.84 (95%CI, 0.75-0.94). We found that a cfDNA cutoff value of 2.35 ng/muL had a sensitivity of 87.9% and specificity of 93.5% for predicting ICU mortality. Sequential measurements of cfDNA suggest that ICU mortality may be predicted within 24 hours of study inclusion, and that the predictive power of cfDNA may be enhanced by combining it with protein C levels or MODS scores. DNA sequence analyses and studies with toll-like receptor 9 (TLR9) reporter cells suggests that the cfDNA from septic patients is host-derived. CONCLUSIONS: These studies suggest that cfDNA provides high prognostic accuracy in patients with severe sepsis. The serial data suggests that the combination of cfDNA with protein C and MODS scores may yield even stronger predictive power. Incorporation of cfDNA in sepsis risk stratification systems may be valuable for clinical decision making or for inclusion into sepsis trials.     

Differences in organ dysfunctions between neonates and older children: a prospective,observational, multicenter study

Introduction  

The multiple organ dysfunction syndrome (MODS) is a major cause of death for patients admitted to pediatric intensive care units (PICU). The Pediatric Logistic Organ Dysfunction (PELOD) score has been validated in order to describe and quantify the severity of organ dysfunction (OD). There are several physiological differences between neonates and older children. The objective of the study was to determine whether there are differences in incidence of ODs and mortality rate between full-term neonates (age <28 days) and older children.     

Study of clinical course of organ dysfunction in intensive care

OBJECTIVE: Multiple organ dysfunction is a common cause of death in intensive care units. We describe the daily course of multiple organ dysfunction measured by the Sequential Organ Failure Assessment score in a population-based cohort of critically ill patients. DESIGN: Prospective cohort study. SETTING: Adult multisystem intensive care units in the Calgary Health Region. PATIENTS: A total of 1,436 patients admitted from May 1, 2000 to April 30, 2001. MEASUREMENTS: Temporal change in Sequential Organ Failure Assessment score. INTERVENTIONS: None; observational study. MAIN RESULTS: The mean age was 58 yrs (range, 14-100). The mean +/- sd intensive care unit admission Acute Physiology and Chronic Health Evaluation II score was 25 +/- 9. The median intensive care unit length of stay was 4 days (interquartile range, 2-8), and the median hospital length of stay was 15 days (interquartile range, 7-32). A total of 20.5% of patients were infected at admission, and 26.0% were immediately postoperative. Intensive care unit mortality was 27.0%, and hospital mortality was 35.1%. The daily Sequential Organ Failure Assessment score was significantly higher in nonsurvivors than survivors. A population-averaged model determined a mean rate of change of Sequential Organ Failure Assessment score to be -0.29 per day (95% confidence interval, -0.32 to -0.25) for survivors and -0.03 per day (95% confidence interval, -0.08 to 0.03) for nonsurvivors (overall regression, p <.0001). Patients with infection had higher admission Sequential Organ Failure Assessment scores compared with patients without infection (difference, 1.8; p <.001), but a similar rate of daily change. CONCLUSIONS: Multiple organ dysfunction, does not follow a course of progressive and sequential failure. Evidence of differential daily change should further inform the use of organ failure scores as surrogate outcomes in clinical trials.