Elan Jeremitsky

The impact of hyperglycemia on patients with severe brain injury.

BACKGROUND This study aimed to analyze the relation of hyperglycemia to outcome in cases of severe traumatic brain injury, and to examine factors that may be responsible for the hyperglycemic state. METHODS A retrospective analysis in an intensive care unit of a level 1 trauma center investigated 77 patients with severe traumatic brain injury. Patients with a Glasgow Coma Scale (GCS) of 8 or lower who survived more than 5 days were reviewed. Serum glucose, base deficit, GCS, use of steroids, and amounts of insulin and carbohydrates were recorded for 5 days, along with age. The Injury Severity Score (ISS) and the Abbreviated Injury Score (AIS) for the head, chest, and abdomen also were recorded. A hyperglycemia score (HS) was calculated as follows. A value of 1 was assigned each day the glucose exceeded 170 mg/dL (range, 0-5). A hyperglycemia score for days 3, 4, and 5 (HS day 3-5) also was calculated (range, 0-3). Outcomes included mortality, day 5 GCS, intensive care unit length of stay, and hospital length of stay. RESULTS Of the 77 patients, 24 (31.2%) died. Nonsurvivors had higher glucose levels each day. The HS was higher for those who died: 2.4 +/- 1.7 versus 1.5 +/- 1.4 (p = 0.02). Univariate analysis showed that only HS and ISS correlated with all four outcome variables studied. Coxs regression analysis showed that mortality was related to age and ISS. Head AIS and HS were independent predictors of lower day 5 GCS, whereas HS 3-5 and day 4 GCS were related to prolonged hospital length of stay. Older age, diabetes, and lower day 1 GCS were associated with higher HS, whereas carbohydrate infusion rate, ISS, head AIS, and steroid administration were not. CONCLUSIONS Early hyperglycemia is associated with poor outcomes for patients with severe traumatic brain injury. Tighter control of serum glucose without reduction of nutritional support may improve the prognosis for these critically ill patients.

Harbingers of poor outcome the day after severe brain injury: hypothermia, hypoxia, and hypoperfusion.

BACKGROUND Traumatic brain injury (TBI) can be compounded by physiologic derangements that produce secondary brain injury. The purpose of this study is to elucidate the frequency with which physiologic factors that are associated with secondary brain injury occur in patients with severe closed head injuries and to determine the impact of these factors on outcome. METHODS The records of 81 adult blunt trauma patients with Glasgow Coma Scale scores < or = 8 and transport times < 2 hours to a Level I trauma center were retrospectively reviewed searching for the following 11 secondary brain injury factors (SBIFs) in the first 24 hours postinjury: hypotension, hypoxia, hypercapnia, hypocapnia, hypothermia, hyperthermia, metabolic acidosis, seizures, coagulopathy, hyperglycemia, and intracranial hypertension. We recorded the worst SBIF during six time periods: hours 1, 2, 3, 4, 5 to 14, and 16 to 24. Occurrence of each SBIF was then correlated with outcome. RESULTS Hypocapnia, hypotension, and acidosis occurred more frequently than other SBIFs (60-80%). Hypotension, hyperglycemia, and hypothermia were associated with increased mortality rate. Patients with episodes of hypocapnia, acidosis, and hypoxia had significantly longer intensive care unit length of stay (LOS). These three SBIFs and hyperglycemia related to longer hospital LOS as well. Hypotension and acidosis were associated with discharge to a rehabilitation facility rather than home. Finally, multivariate regression analysis revealed that hypotension, hypothermia, and Abbreviated Injury Scale score of the head were independently related to mortality, whereas other SBIFs, age, Injury Severity Score, and Glasgow Coma Scale score were not. Metabolic acidosis and hypoxia were related to longer intensive care unit and hospital LOS. CONCLUSION Our early management of head-injured patients stresses avoidance and correction of SBIFs at all costs. Nonetheless, SBIFs occur frequently in the first 24 hours after traumatic brain injury. Six of the 11 factors studied are associated with significantly worse outcomes. Hypotension and hypothermia are independently related to mortality. Because these SBIFs are potentially preventable, protocols could be developed to decrease their frequency.

Characteristics and outcomes of trauma patients with ICU lengths of stay 30 days and greater: a seven-year retrospective study

IntroductionProlonged intensive care unit lengths of stay (ICU LOS) for critical illness can have acceptable mortality rates and quality of life despite significant costs. Only a few studies have specifically addressed prolonged ICU LOS after trauma. Our goals were to examine characteristics and outcomes of trauma patients with LOS ≥ 30 days, predictors of prolonged stay and mortality.MethodsAll trauma ICU admissions over a seven-year period in a level 1 trauma center were analyzed. Admission characteristics, pre-existing conditions and acquired complications in the ICU were recorded. Logistic regression was used to identify independent predictors of prolonged LOS and predictors of mortality among those with prolonged LOS after univariate analyses.ResultsOf 4920 ICU admissions, 205 (4%) had ICU LOS >30 days. These patients were older and more severely injured. Age and injury severity score (ISS) were associated with prolonged LOS. After logistic regression analysis, sepsis, acute respiratory distress syndrome, and several infectious complications were important independent predictors of prolonged LOS. Within the group with ICU LOS >30 days, predictors of mortality were age, pre-existing renal disease as well as the development of renal failure requiring dialysis. Overall mortality was 12%.ConclusionsThe majority of patients with ICU LOS ≥ 30 days will survive their hospitalization. Infectious and pulmonary complications were predictors of prolonged stay. Further efforts targeting prevention of these complications are warranted.

Starting the clock: defining nonoperative management of blunt splenic injury by time

BACKGROUND There is no consensus when the designation of nonoperative management (NOM) for splenic injury (BSI) should start. We evaluated NOM success rates based on different time points after admission. METHODS The National Trauma Data Bank was evaluated for BSI for the year 2008. Observations were evaluated by facility, the time to splenectomy, and the volume of BSI admissions. RESULTS Of 15,732 BSIs identified, the overall splenectomy salvage rate was 81%. After the 5th hour, the NOM success rate was 95%. Multivariable analysis revealed that higher BSI grades, level 2 centers and community hospitals, and age ≥55 were associated with failed NOM. CONCLUSIONS The grade of injury is an important predictor for failure of NOM. If a 5% failure rate is to be considered a benchmark, then the 5-hour time point after admission should be used for the calculation of NOM success rates.

Risk of pulmonary embolism in trauma patients: Not all created equal

INTRODUCTION Patients with traumatic brain injury (TBI) are assumed to be at an increased risk for pulmonary embolism (PE). Delay in the initiation of chemoprophylaxis and prophylactic placement of inferior vena cava filters have been advocated by some because of concerns for increased intracranial hemorrhage in the presence of prophylactic anticoagulation. We hypothesized that patients with isolated TBI would not be at increased risk for the development of PE compared with the general trauma population. METHODS Patients from the National Trauma Data Bank from the year 2008 were analyzed. Patient demographics, Injury Severity Score, and the prevalence of deep-vein thrombosis and PE were extracted. Studied injuries were assigned to six categories: thorax, abdominal solid organs, pelvic fracture, lower extremity fracture, spine fracture, and TBI. RESULTS Of a total of 627,775 injured patients, 2,182 (0.35%) had a documented PE. The prevalence of PE in patients with isolated TBI, lower extremity, pelvic fracture, liver and/or spleen, thorax, spine, multiple injuries, and none of the studied injuries were 0.25%, 0.36%, 0.35%, 0.37%, 0.52%, 0.37%, 1.1%, and 0.12%, respectively. Using an age-, sex- and race-adjusted multivariable logistic regression model and controlling for interaction between inferior vena cava filters and injury types, we found that isolated TBI was not associated with PE. CONCLUSION Isolated TBI does not appear to be associated with an increased incidence of PE compared with other injuries. Patients with isolated TBI may not require early aggressive prophylaxis as is the standard for other high-risk groups.