Impact of central surgical review in a study of malignant germ cell tumors

BACKGROUND: Verification of surgical staging has received little attention in clinical oncology trials. Central surgical review was undertaken during a study of malignant pediatric germ cell tumors. METHODS: Children's Oncology Group study AGCT0132 included central surgical review during the study. Completeness of submitted data and confirmation of assigned stage were assessed. Review responses were: assigned status confirmed, assignment withheld pending review of additional information requested, or institutional assignment of stage disputed with explanation given. Changes in stage assignment were at the discretion of the enrolling institution. RESULTS: A total of 206 patients underwent central review. Failure to submit required data elements or need for clarification was noted in 40%. Disagreement with stage assignment occurred in 10% with 17/21 discordant patients reassigned to stage recommended by central review. Four ovarian tumor patients not meeting review criteria for Stage I remained in that stratum by institutional decision. Two-year event free survival in Stage I ovarian patients was 25% for discordant patients compared to 57% for those meeting Stage I criteria by central review. CONCLUSIONS: Central review of stage assignment improved complete data collection and assignment of correct tumor stage at study entry, and allowed for prompt initiation of chemotherapy in patients determined not to have Stage I disease

Traumatic abdominal wall hernias in children: A case for early exploration

Purpose Traumatic abdominal wall hernia (TAWH) is a rare consequence of blunt abdominal trauma (BAT). We examined a series of patients suffering TAWH to evaluate its frequency, rate of associated concurrent intraabdominal injuries (CAI) and correlation with CT, management and outcomes. Methods A Level 1 pediatric trauma center trauma registry was queried for children less than 18 years old suffering TAWH from BAT between 2009 and 2019. Results 9370 patients were admitted after BAT. TAWH was observed in 11 children, at incidence 0.1%. Eight children (73%) were male, at mean age 10 years, and mean ISS of 16. Six cases (55%) were because of MVC, three (27%) impaled by a handlebar or pole, and two (18%) dragged under large machinery. Seven (64%) had a CAI requiring operative or interventional management. Patients with CAI were similar to those without other injury, with 20% and 50% CT scan sensitivity and specificity for detection of associated injury, respectively. Five patients had immediate hernia repair with laparotomy for repair of intraabdominal injury, three had delayed repair, two have asymptomatic unrepaired TAWH, and one resolved spontaneously. Conclusions Children with TAWH have high rates of CAI requiring operative repair. CT scans have low sensitivity and specificity for detecting associated injuries. A high suspicion of injury and low threshold for exploration must be maintained in TAWH cases

Cardiac arrest after induction of anesthesia in a 2-month-old infant with undiagnosed Williams syndrome

A 2-month-old male infant presented for elective repair of inguinal hernias. His preoperative medical history and physical examination were unremarkable. During induction of anesthesia, the infant sustained an adverse cardiac event. The event was characterized by tachycardia, hypotension, and massive ST-segment elevation. Despite vigorous resuscitation, spontaneous hemodynamic stability could not be achieved and extracorporeal membrane oxygenation was required. A transthoracic echocardiogram revealed severe hypoplasia of the ascending aorta. As effective cardiac function did not recover and there was evidence of diffuse ischemic brain injury, life support was withdrawn. Genetic testing performed postoperatively was definitive for Williams syndrome

Using wildland fire smoke modeling data in gerontological health research (California, 2007–2018)

Widespread population exposure to wildland fire smoke underscores the urgent need for new techniques to characterize fire-derived pollution for epidemiologic studies and to build climate-resilient communities especially for aging populations. Using atmospheric chemical transport modeling, we examined air quality with and without wildland fire smoke PM2.5. In 12-km gridded output, the 24-hour average concentration of all-source PM2.5 in California (2007–2018) was 5.16 μg/m3 (S.D. 4.66 μg/m3). The average concentration of fire-PM2.5 in California by year was 1.61 μg/m3 (~30% of total PM2.5). The contribution of fire-source PM2.5 ranged from 6.8% to 49%. We define a “smokewave” as two or more consecutive days with modeled levels above 35 μg/m3. Based on model-derived fire-PM2.5, 99.5% of California\u27s population lived in a county that experienced at least one smokewave from 2007 to 2018, yet understanding of the impact of smoke on the health of aging populations is limited. Approximately 2.7 million (56%) of California residents aged 65+ years lived in counties representing the top 3 quartiles of fire-PM2.5 concentrations (2007–2018). For each year (2007–2018), grid cells containing skilled nursing facilities had significantly higher mean concentrations of all-source PM2.5 than cells without those facilities, but they also had generally lower mean concentrations of wildland fire-specific PM2.5. Compared to rural monitors in California, model predictions of wildland fire impacts on daily average PM2.5 carbon (organic and elemental) performed well most years but tended to overestimate wildland fire impacts for high-fire years. The modeling system isolated wildland fire PM2.5 from other sources at monitored and unmonitored locations, which is important for understanding exposures for aging population in health studies

A Comparison of Multitemporal Airborne Laser Scanning Data and the Fuel Characteristics Classification System for Estimating Fuel Load and Consumption

Characterizing pre-fire fuel load and fuel consumption are critical for assessing fire behavior, fire effects, and smoke emissions. Two approaches for quantifying fuel load are airborne laser scanning (ALS) and the Fuel Characteristic Classification System (FCCS). The implementation of multitemporal ALS (i.e., the use of two or more ALS datasets across time at a given location) in conjunction with empirical models trained with field data can be used to measure fuel and estimate fuel consumption from a fire. FCCS, adapted for use in LANDFIRE (LF), provides 30 m resolution estimates of fuel load across the contiguous United States and can be used to estimate fuel consumption through software programs such as Fuel and Fire Tools (FFT). This study compares the two approaches for two wildfires in the northwestern United States having predominantly sagebrush steppe and ponderosa pine savanna ecosystems. The results showed that the LF FCCS approach yielded higher pre-fire fuel loads and fuel consumption than the ALS approach and that the coarser scale LF FCCS data did not capture as much heterogeneity as the ALS data. At Tepee, 50.0% of the difference in fuel load and 87.3% of the difference in fuel consumption were associated with distinguishing sparse trees from rangeland. At Keithly, this only accounted for 8.2% and 8.6% of the differences, demonstrating the significance of capturing heterogeneity in rangeland vegetation structure and fire effects. Our results suggest future opportunities to use ALS data to better parametrize fine-scale fuel load variability that LF FCCS does not capture