Computed tomography-estimated specific gravity of noncontused brain areas as a marker of severity in human traumatic brain injury

In this study, we assessed the relationship between brain estimated specific gravity (eSG) and clinical symptoms, therapeutic intensity level, and outcome in human traumatic brain injury (TBI). Brain weight, volume, and eSG of the noncontused hemispheric areas were measured from computed tomography (CT) DICOM images on the initial (5 +/- 6 h) CT of 120 patients with severe TBI. Control values were obtained from 40 healthy patients. The eSG of the noncontused hemispheric areas was significantly higher in TBI patients than in controls. eSG was higher in patients having a Marshall CT classification of 3 or 4 or a low initial Glasgow coma score. Two groups were defined according to the eSG of the noncontused hemispheric areas: less than (n = 83, 69%) or more than (n = 37, 31%) the threshold of normality (defined as 1.96 sd above normal = 1.0355 g/mL). The occurrence of mydriasis, use of osmotherapy at the scene of the accident, and therapeutic intensity level were higher in the increased eSG group. The outcome at intensive care unit discharge was worse in patients with an increased eSG although the difference was no longer significant at 1 yr. eSG determination by CT analysis might be relevant in the early management of TBI.     

Glasgow Coma Scale score at intensive care unit discharge predicts the 1-year outcome of patients with severe traumatic brain injury

Objective

To analyse the association between the Glasgow Coma Scale (GCS) score at intensive care unit (ICU) discharge and the 1-year outcome of patients with severe traumatic brain injury (TBI).

Design

Retrospective analysis of prospectively collected observational data.

Patients

Between 01/2001 and 12/2005, 13 European centres enrolled 1,172 patients with severe TBI. Data on accident, treatment and outcomes were collected. According to the GCS score at ICU discharge, survivors were classified into four groups: GCS scores 3–6, 7–9, 10–12 and 13–15. Using the Glasgow Outcome Scale (GOS), 1-year outcomes were classified as “favourable” (scores 5, 4) or “unfavourable” (scores <4). Factors that may have contributed to outcomes were compared between groups and for favourable versus unfavourable outcomes within each group.

Main results

Of the 538 patients analysed, 308 (57 %) had GCS scores 13–15, 101 (19 %) had scores 10–12, 46 (9 %) had scores 7–9 and 83 (15 %) had scores 3–6 at ICU discharge. Factors significantly associated with these GCS scores included age, severity of trauma, neurological status (GCS, pupils) at admission and patency of the basal cisterns on the first computed tomography (CT) scan. Favourable outcome was achieved in 74 % of all patients; the rates were significantly different between GCS groups (93, 83, 37 and 10 %, respectively). Within each of the GCS groups, significant differences regarding age and trauma severity were found between patients with favourable versus unfavourable outcomes; neurological status at admission and CT findings were not relevant.

Conclusion

The GCS score at ICU discharge is a good predictor of 1-year outcome. Patients with a GCS score <10 at ICU discharge have a poor chance of favourable outcome.     

Clinical features and outcome of chronic dialysis patients admitted to an intensive care unit.

BACKGROUND: Information about chronic dialysis (CD) patients admitted to intensive care units (ICU) is scant. This study sought to determine the epidemiology and outcome of CD patients in an ICU setting and to test the performance of the Simplified Acute Physiology Score (SAPS II) to predict hospital mortality in this population. METHODS: All consecutive CD patients admitted to an adult, 10 bed medical/surgical ICU at a university hospital between January 1996 and December 1999 were included in this prospective observational study. Demographics, characteristics of the underlying renal disease, admission diagnosis, the number of organ system failures (OSFs) excluding renal failure and SAPS II, both calculated 24 h after admission, the duration of mechanical ventilation, ICU survival and survival status at hospital discharge and 6 months after discharge were recorded. RESULTS: A total of 92 CD patients, 16 on peritoneal dialysis and 76 on haemodialysis, were included. The main reason for ICU admission was sepsis and the mean ICU length of stay 6.2+/-9.9 days. ICU mortality was 26/92 (28.3%) and was associated in multivariate analysis with SAPS II (P<0.001), duration of mechanical ventilation (P<0.01) and abnormal values of serum phosphorus (high or low; P<0.05). Hospital mortality was 35/92 (38.0%) and was accurately predicted by SAPS II [receiver operating characteristics curve: 0.86+/-0.04; goodness-of-fit test: C = 6.86, 5 degrees of freedom (df), P = 0.23 and H = 4.78, 5 df, P = 0.44]. The 6 month survival rate was 48/92 (52.2%). CONCLUSIONS: CD patients admitted to the ICU are a subgroup of patients with high mortality and SAPS II can be used to assess their probability of hospital mortality. The severity of the acute illness responsible for ICU admission and an abnormal value of serum phosphorus are determinants for ICU mortality.     

Predictors of intensive care unit admission and related outcome for patients after pancreaticoduodenectomy

High-volume centers have low morbidity and mortality after pancreaticoduodenectomy (PD). Less is known about treatment pathways and their influence on intensive care unit (ICU) utilization. Patients who underwent PD at a tertiary cancer center during the five-year period between January 1998 and December 2003 were identified from a prospective database. Preoperative and intraoperative factors relating to ICU admission and outcome were analyzed. Five hundred ninety-one pancreaticoduodenectomies were performed during the study period. Of these, 536 patients had complete records for analysis. Of the 536 patients, 51 (10%) were admitted to the ICU after surgery. Admission to the ICU was associated with decreased overall survival (P < .0001). Of the preoperative predictors of ICU admission, serum creatinine, albumin, and increased body mass index (BMI) were associated with ICU admission (P = .02, .05, and .002, respectively). Age, blood glucose, diagnosis of diabetes mellitus, and chronic obstructive pulmonary disease were not predictive of ICU admission on univariate analysis. Of the intraoperative factors, longer operative time and estimated blood loss (EBL) correlated with ICU admission (P = .003 and .0001, respectively). On multivariate analysis, only preoperative BMI and intraoperative EBL were independent predictors of ICU admission (P = .03 and .003, respectively). Patients with a preoperative BMI greater than 30 had a substantially higher risk of ICU admission (relative risk 2.4). The majority of patients who undergo PD do not require admission to the ICU. Factors most associated with ICU admission after PD are increased preoperative BMI and intraoperative blood loss. Presented at the Forty-Sixth Annual Meeting of The Society for Surgery of the Alimentary Tract, Chicago, Illinois, May 14–18, 2005 (poster presentation). Supported by a grant from the Stern Foundation (M.F.B.).     

Acute kidney injury in preterm infants admitted to a neonatal intensive care unit

Background

The factors that contribute to the development of acute kidney injury (AKI) and treatment outcome among prematurely born neonates are not clearly understood.

Methods

This retrospective study included 150 prematurely born neonates. AKI was defined as an increase of serum creatinine levels ≥0.3 mg/dl compared to basal values.

Results

The majority of neonates with AKI (94.8 %) had a body weight <1,500 g. Logistic regression analysis showed that the Apgar score in the 5th minute <5, serum lactate levels >5 on the first day of life, core body temperature <36?ºC on the first day of life, occurrence of sepsis, intracranial hemorrhage, necrotizing enterocolitis, patent ductus arteriosus, as well as a treatment with vancomycin or dopamine were independent risk factors for the development of AKI. After the groups of neonates with and without AKI were adjusted, the calculated risk ratio for a negative outcome of treatment (death) was 2.215 (CI 1.27–3.86) for neonates with AKI. Neonates with AKI had higher serum sodium levels in the third and fourth days of life.

Conclusions

AKI is associated with high mortality in preterm neonates. It is very important to identify, as quickly as possible, all infants who are at high risk of developing AKI.     

Anemia and blood transfusion in trauma patients admitted to the intensive care unit

BACKGROUND: Anemia is a common occurrence in the intensive care unit (ICU). Although resuscitation, including the use of blood, is a mainstay of early treatment of trauma victims, the safety and efficacy of red blood cell (RBC) transfusion has come under scrutiny recently. The issue of blood use in critically injured patients requires evaluation. METHODS: This was a post hoc analysis of a subset of trauma patients (> or =18 years in age) from a prospective, multicenter, observational, cohort study in the United States. Patients were enrolled within 48 hours after ICU admission and followed for up to 30 days, or until hospital discharge or death. RESULTS: Five hundred seventy-six patients from 111 ICUs in 100 hospitals were enrolled between August 2000 and April 2001. At baseline, mean age was 44.1 +/- 20.2 years, 73.6% were men, and mean APACHE II score was 16.9 +/- 8.2. Mean baseline hemoglobin was 11.1 +/- 2.4 g/dL and patients remained anemic throughout the study either with or without transfusion; 55.4% of patients were transfused (mean, 5.8 +/- 5.5 units) during the ICU stay and 43.8% of patients had an ICU length of stay > or = 7 days. Mean pretransfusion hemoglobin was 8.9 +/- 1.8 g/dL. Mean age of RBCs transfused was 20.1 +/- 11.4 days. As compared with the full study population, patients in the trauma subset were more likely to be transfused and received an average of 1 additional unit of blood. CONCLUSION: Anemia is common in critically injured trauma patients and persists throughout the duration of critical illness. These patients receive a large number of RBC transfusions during their ICU course with aged blood.     

Home return 6 months after an intensive care unit admission for elderly patients

Background: Home return after critical care is very important not only to patients and families. To move back home, patients have to fulfill two conditions: survive, and have a relatively good functional status. In addition, home return could be considered a low‐cost outcome because of the reduced permanent healthcare costs. Methods: To determine the factors influencing the home‐return probability of critically ill elderly patients 6 months after an intensive care unit (ICU) admission, we analyzed a cohort of patients aged 65 years or older admitted to an ICU. Demographic and social parameters, as well as admission diagnosis, underlying diseases, severity scores, ICU stay parameters, and complications were recorded. The final outcome was the place of stay (or death) 180 days after ICU admission. Results: Of 526 patients, 72% of the cohort and 93% of hospital survivors were able to return to their homes. Among the variables used in the multivariate logistic regression, advanced age, length of hospital stay before ICU admission, severity of acute illness, diagnosis category, and complications, as well as certain comorbidities, such as chronic heart failure or a neoplasia, were independently negatively associated with a home return. Conclusion: Some interesting factors were identified in this single‐center study. They could be considered for a multicenter study to build a universal prediction model for home return. Home return could be used for elderly patients as a surrogate for outcomes that are very important to the elderly but also to health politics.     

Outcome after admission to an intensive care unit. A 6-week study at Baragwanath Hospital

This study reports the short- medium- and long-term outcome of treatment in patients admitted to the Baragwanath Hospital Intensive Care Unit; 81% were discharged in a satisfactory state, but the morbidity rate of 11% was unacceptably high.     

Acute renal failure in bone marrow transplant patients admitted to the intensive care unit

BACKGROUND/AIMS: Review of bone marrow transplant (BMT) cases admitted to our intensive care unit (ICU) and to compare co-morbidity and outcome of BMT patients developing or not developing acute renal failure (ARF). METHODS: A case review of BMT patients admitted to the ICU (a 16-bed medico-surgical ICU in a tertiary care teaching institution) over a 4-year period. RESULTS: Between January 1994 and December 1998, 57 among 441 BMT patients (12.9%) were admitted to the ICU, mainly for respiratory distress (58%) and hypotension (32%). Forty-two patients (73.7%) presented ARF as defined as a doubling of serum creatinine. Compared to the 15 other patients, ARF patients had a higher APACHE II score (30 +/- 8 vs. 25 +/- 7, p < 0.05). For ARF vs. non-ARF patients, there was no difference in age (43.8 +/- 10.8 vs. 44.3 +/- 11.1 years), in requirement for mechanical ventilation (76 vs. 73%) and vasopressors (69 vs. 60%), and in prevalence of graft-versus-host disease (19 vs. 13%) or neutropenia (69 vs. 67%), but the prevalence of sepsis (83 vs. 60%) and liver failure (69 vs. 40%) was higher. Maximum serum bilirubin was markedly increased in ARF compared to non-ARF patients (p < 0.005). For both subgroups, no difference in the administration of potential nephrotoxic agents was identified. Usually, ARF was considered multifactorial by clinicians, with ATN being the most frequent diagnosis (55%). Maximum serum creatinine reached a mean of 330 +/- 130 micromol/l. In 74% of cases, ARF occurred concomitantly or after admission to the ICU. Oligoanuria was present in 38%, whereas polyuria was observed in 17%. Fourteen ARF patients (33%) required dialytic support. Mortality rates were significantly different in ARF vs. non-ARF patients (88 vs. 60%, p < 0.05). Predictive factors for the development of ARF were liver failure (odds ratio (OR) 5.9), low serum albumin (OR 1.2) and APACHE II score (OR 1.1), whereas variables predictive of mortality were mechanical ventilation (OR 14.8), ARF (OR 5.8), liver failure (OR 3.7), and APACHE II score (OR 1.2). CONCLUSIONS: This study confirms that ARF in BMT patients admitted to the ICU is frequent, multifactorial, related to liver failure, and that its development has a negative impact on outcome.     

B-type natriuretic peptide and the prediction of outcome in patients admitted to intensive care

B-type natriuretic peptide is known to predict outcome in congestive cardiac failure and myocardial infarction. We aimed to determine whether measurement of B-type natriuretic peptide would predict hospital mortality in patients admitted to an intensive care unit. We conducted a prospective observational cohort study in 78 consecutive patients. Demographics, clinical details and clinical outcomes were recorded. Admission and 24 h B-type natriuretic peptide and cardiac troponin I levels were measured. B-type natriuretic peptide and cardiac troponin I levels taken on intensive care admission and 24 h after admission did not accurately predict hospital mortality for all patients, including patients with severe sepsis or septic shock (all p > 0.05). B-type natriuretic peptide levels were higher in patients with severe sepsis and septic shock (p = 0.02), in patients > or = 65 years (p = 0.04) and in patients with raised creatinine > or = 110 micromol.l(-1) (p = 0.02). We concluded that B-type natriuretic peptide, measured soon after admission to intensive care, does not usefully predict outcome after intensive care.     

The acute physiology and chronic health evaluation III outcome prediction in patients admitted to the intensive care unit after pneumonectomy

PURPOSE: The Acute Physiology and Chronic Health Evaluation (APACHE) III prognostic system has not been previously validated in patients admitted to the intensive care unit (ICU) after pneumonectomy. The purpose of this study was to determine if the APACHE III predicts hospital mortality after pneumonectomy. METHODS: A retrospective review of all adult patients admitted to a single thoracic surgical intensive care unit after pneumonectomy between October 1994 and December 2004. Patient demographics, ICU admission day APACHE III score, actual and predicted hospital mortality, and length of hospital and ICU stay data were collected. Data on preoperative pulmonary function tests and smoking habits were also collected. Univariate statistical methods and logistic regression were used. The performance of the APACHE III prognostic system was assessed by the Hosmer-Lemeshow statistic for calibration and area under receiver operating characteristic curve (AUC) for discrimination. RESULTS: There were 417 pneumonectomies performed during the study period, of which 281 patients were admitted to the ICU. The mean age was 61.1 years, and 67.2% were men; 88.2% were smokers with a median of 40.0 (interquartile range, 18-62) pack-years of tobacco use. The mean APACHE III score on the day of ICU admission was 37.7 (+/- standard deviation 17.8), and the mean predicted hospital mortality rate was 6.4% (+/-10.4). The median (and interquartile range) lengths of ICU and hospital stay were 1.7 (0.9-3.1) and 9.0 (7.0-17.0) days, respectively. The observed ICU and hospital mortality rates were 4.6% (13/281 patients) and 8.2% (23/281), respectively. The standardized ICU and hospital mortality ratios with their 95% confidence intervals (CIs) were 1.55 (0.71-2.39) and 1.27 (0.75-1.78), respectively. There were significant differences in the mean APACHE III score (p < 0.001) and the predicted mortality rate (p < .001) between survivors and nonsurvivors. In predicting mortality, the AUC of APACHE III prediction was 0.801 (95% CI, 0.711-0.891), and the Hosmer-Lemeshow statistic was 9.898 with a p value of 0.272. Diffusion capacity of the lung for carbon monoxide (DLCO) and percentage predicted DLCO were higher in survivors, but the addition of either of these variables to a logistic regression model did not improve APACHE III mortality prediction. CONCLUSIONS: In patients admitted to the ICU after pneumonectomy, the APACHE III discriminates moderately well between survivors and nonsurvivors. The calibration of the model appears to be good, although the low number of deaths limits the power of the calibration analysis. The use of APACHE III data in outcomes research involving patients who have undergone pneumonectomy is acceptable.     

Prediction of outcome at discharge from acute care following traumatic brain injury

OBJECTIVE: To compute outcome probabilities for persons with traumatic brain injury at discharge from acute care. PARTICIPANTS: Three hundred thirty-nine patients with traumatic brain injury (239 mild, 48 moderate, 52 severe). SETTING: Level I trauma center. MAIN MEASURES: Predictor variables considered were age, education, Glasgow Coma Scale score, duration of posttraumatic amnesia, cerebral imaging results, and need for neurosurgical intervention. Outcome measures were Extended Glasgow Outcome Scale and discharge destination. RESULTS: Logistic regressions showed that a shorter posttraumatic amnesia decreased the probability of moderate to severe disability. Moreover, discharge home was less probable for patients with positive cerebral imaging. CONCLUSION: This model can help predict rehabilitation needs upon discharge from an acute care hospital.