Benjamin, Elizabeth

Objective: The purpose of this study was to compare therapeutic strategies and outcomes, following isolated gunshot wounds of the head, between military and civilian populations. Background: Recent military conflicts introduced new concepts in trauma care, including aggressive surgical intervention in severe head trauma. Methods: This was a cohort-matched study, using the civilian Trauma Quality Improvement Program (TQIP) database of the American College of Surgeons (ACS) and the Department of Defense Trauma Registry (DoDTR), during the period 2013 to 2016. Included in the study were patients with isolated gunshots to the head. Exclusion criteria were dead on arrival, civilians transferred from other hospitals, and patients with major extracranial associated injuries (body area Abbreviated Injury Scale >3). Patients in the military database were propensity score–matched 1:3 with patients in the civilian database. Results: A total of 136 patients in the DoDTR database were matched for age, sex, year of injury, and head Abbreviated Injury Scale with 408 patients from TQIP. Utilization of blood products was significantly higher in the military population (P<0.001). In the military group, patients were significantly more likely to have intracranial pressure monitoring (17% vs 6%, P<0.001) and more likely to undergo craniotomy or craniectomy (34% vs 13%, P<0.001) than in the civilian group. Mortality in the military population was significantly lower (27% vs 38%, P=0.013). Conclusions: Military patients are more likely to receive blood products, have intracranial pressure monitoring and undergo craniectomy or craniotomy than their civilian counterparts after isolated head gunshot wounds. Mortality is significantly lower in the military population. Level of Evidence: Level III—therapeutic.

Abstract Background: Ovarian carcinoma is composed of five major histologic types, which associate with outcome and predict therapeutic response. Our aim was to evaluate histologic type assessments across the centers participating in the Ovarian Tumor Tissue Analysis (OTTA) consortium using an immunohistochemical (IHC) prediction model. Methods: Tissue microarrays (TMA) and clinical data were available for 524 pathologically confirmed ovarian carcinomas. Centralized IHC was conducted for ARID1A, CDKN2A, DKK1, HNF1B, MDM2, PGR, TP53, TFF3, VIM, and WT1, and three histologic type assessments were compared: the original pathologic type, an IHC-based calculated type (termed TB_COSPv2), and a WT1-assisted TMA core review. Results: The concordance between TB_COSPv2 type and original type was 73%. Applying WT1-assisted core review, the remaining 27% discordant cases subdivided into unclassifiable (6%), TB_COSPv2 error (6%), and original type error (15%). The largest discordant subgroup was classified as endometrioid carcinoma by original type and as high-grade serous carcinoma (HGSC) by TB_COSPv2. When TB_COSPv2 classification was used, the difference in overall survival of endometrioid carcinoma compared with HGSC became significant [RR 0.60; 95% confidence interval (CI), 0.37–0.93; P = 0.021], consistent with previous reports. In addition, 71 cases with unclear original type could be histologically classified by TB_COSPv2. Conclusions: Research cohorts, particularly those across different centers within consortia, show significant variability in original histologic type diagnosis. Our IHC-based reclassification produced more homogeneous types with respect to outcome than original type. Impact: Biomarker-based classification of ovarian carcinomas is feasible, improves comparability of results across research studies, and can reclassify cases which lack reliable original pathology. Cancer Epidemiol Biomarkers Prev; 22(10); 1677–86. ©2013 AACR.