External retrospective validation of Brain Injury Guidelines criteria and modified guidelines for improved care value in the management of patients with low-risk neurotrauma.

OBJECTIVE: Conventional management of patients with neurotrauma frequently consists of routine, repeat head CT at preordained intervals with ICU-level monitoring, regardless of injury severity. The Brain Injury Guidelines (BIG) are a classification tool for stratifying patients into injury severity and risk-of-progression categories based on presenting clinical and radiographic findings. In the present study, the authors aimed to validate BIG criteria at a single level 1 trauma center. METHODS: Patients were classified according to BIG criteria and evaluated for subsequent radiographic progression or development of neurological decline. A 2-year retrospective cohort review of consecutive patients with neurotrauma (n = 590) was undertaken. The authors then developed a modified BIG algorithm for use at their institution and followed its implementation prospectively over 555 consecutive patients. RESULTS: In the retrospective analysis, no patient in the BIG 1 category (n = 88, 14.9%) demonstrated progression or neurological decline, and 7.5% of BIG 2 patients (n = 107, 18.1%) demonstrated mild radiographic progression without any decline or need for additional neurosurgical or medical intervention, whereas 15.4% of BIG 3 patients (n = 395, 66.9%) underwent additional neurosurgical procedures. In the prospective analysis, no BIG 1 (n = 105, 18.9%) or BIG 2 (n = 48, 8.6%) patients demonstrated a clinical decline or required any further neurosurgical intervention. By contrast, 12.9% of BIG 3 patients (n = 402, 72%) required immediate neurosurgical intervention, and a further 2.0% required delayed intervention based on clinical and/or radiographic evidence of injury progression. CONCLUSIONS: Application of the BIG criteria in a single large level 1 trauma center reliably sorted patients into appropriate risk categories that accurately guided ongoing management.

Use of Risk Model for Assessment of Residents' Perception of Complexity of Surgical Steps: Example of Modular Component Steps of Lumbar Spinal Fusion Surgery.

BACKGROUND: Quality improvement projects increasingly emphasize standardization of surgical work flow to optimize operative room efficiency. Removing special cause variability resulting from nonsurgical waste is an obvious target; however, resident surgical education must be maintained, even in the setting of process improvement. OBJECTIVE: To describe the impact of resident-identified "risky" or "uncomfortable" procedural steps on operative time during transforaminal lumbar interbody fusion (TLIF). METHODS: TLIF procedure steps were defined. An 8 2-part questions survey regarding comfort level and perceived risk assessment at each step was developed and completed by junior (17) and senior residents (10), and by faculty (6) from orthopedic, and neurological surgery. A risk matrix was constructed defining 2 zones: a "danger zone"; responses were high risk (3-5) and low comfort (1-3), and a "safe zone"; responses were low risk (1-2) and high comfort (4-5). One-tailed Chi-square with Yates correction was performed. RESULTS: Risk matrix analysis showed a statistical difference among "danger zone" respondents between junior resident and faculty groups for exposure, pedicle screw placement, neural decompression, interbody placement, posterolateral fusion, and hemostasis. A radar graph identifies percent of respondents who fall within the "danger zone". CONCLUSION: Resident perception of surgical complexity can be evaluated for procedural steps using a risk matrix survey. For TLIF, residents may assign more risk and may be less comfortable performing steps in a training-level-dependent manner. Identification of particular high-risk or uncomfortable steps should prompt strict faculty oversight to improve patient safety, monitor resident education, and reduce operative time.

Role of protein phosphatases in estrogen-mediated neuroprotection.

The signaling pathways that mediate neurodegeneration are complex and involve a balance between phosphorylation and dephosphorylation of signaling and structural proteins. We have shown previously that 17beta-estradiol and its analogs are potent neuroprotectants. The purpose of this study was to delineate the role of protein phosphatases (PPs) in estrogen neuroprotection against oxidative stress and excitotoxicity. HT-22 cells, C6-glioma cells, and primary rat cortical neurons were exposed to the nonspecific serine/threonine protein phosphatase inhibitors okadaic acid and calyculin A at various concentrations in the presence or absence of 17beta-estradiol and/or glutamate. Okadaic acid and calyculin A caused a dose-dependent decrease in cell viability in HT-22, C6-glioma, and primary rat cortical neurons. 17beta-Estradiol did not show protection against neurotoxic concentrations of either okadaic acid or calyculin A in these cells. In the absence of these serine/threonine protein phosphatase inhibitors, 17beta-estradiol attenuated glutamate toxicity. However, in the presence of effective concentrations of these protein phosphatase inhibitors, 17beta-estradiol protection against glutamate toxicity was lost. Furthermore, glutamate treatment in HT-22 cells and primary rat cortical neurons caused a 50% decrease in levels of PP1, PP2A, and PP2B protein, whereas coadministration of 17beta-estradiol with glutamate prevented the decrease in PP1, PP2A, and PP2B levels. These results suggest that 17beta-estradiol may protect cells against glutamate-induced oxidative stress and excitotoxicity by activating a combination of protein phosphatases.

Critical analysis of empiric antibiotic utilization: establishing benchmarks.

AIM: We critically evaluated empiric antibiotic practice in the surgical and trauma intensive care unit (STICU) with three specific objectives: (1) To characterize empiric antibiotics practice prospectively; (2) to determine how frequently STICU patients started on empiric antibiotics subsequently have a confirmed infection; and (3) to elucidate the complications associated with unnecessary empiric antibiotic therapy. METHODS: We collected data prospectively using the Surgical Intensive Care-Infection Registry (SIC-IR) including all 1,185 patients admitted to the STICU for >2 days from March 2007 through May 2008. Empiric antibiotics were defined as those initiated because of suspected infections. RESULTS: The mean patient age was 56 years and 62% were male. The mean STICU length of stay was eight days, and the mortality rate was 4.6%. Empiric antibiotics were started for 26.3% of the patients. The average length of antibiotic use was three days. Of the 312 patients started on empiric antibiotics, only 25.6% were found to have an infection. Factors associated with correctly starting empiric antibiotics were a longer STICU stay (5 vs. 3 days), prior antibiotics (29% vs. 17%), and mechanical ventilation (93% vs. 79%). Patients who were started on antibiotics without a subsequent confirmed infection were compared with patients not given empiric antibiotics. Incorrect use of empiric antibiotics was associated with younger age (p < 0.001), more STICU days (10.6 vs. 5.9 days; p < 0.001), more ventilator days (p < 0.001), more development of acute renal failure (24.1% vs. 12.1%; p < 0.001), and a significant difference in mortality rate (8.6% vs. 3.2%; p < 0.001). CONCLUSIONS: After admission to the STICU, 26% of patients received at least one course of empiric antibiotics. Only 25.6% of these patients were confirmed to have an infection. These results provide key benchmark data for the critical care community to improve antibiotic stewardship.