Introduction

Injuries to the inferior vena cava (IVC) secondary to blunt trauma are rare and occurs in less than 1% of all blunt trauma patients. Mortality rates for IVC injuries reported in the literature range from 34% to 70%. Inferior vena cava (IVC) pseudoaneurysms resulting from these injuries are also rare clinical entities with an uncertain natural history due to limited follow-up information.

Case presentation

This case report describes a 23-year-old woman with traumatic IVC dissection resulting in pseudoaneurysms. It also details our treatment plan, with follow-up through radiographic resolution of the pseudoaneurysms.

Discussion

Due to rarity of these injuries, management of these injuries has not been subjected to major studies, but several case reports and small retrospective studies have demonstrated that management can be tailored to the hemodynamic status of the patient. Stable patients whose injuries have achieved local venous tamponade have been successfully treated without surgical intervention, while unstable patients require operative management.

Conclusion

Of all incoming patients, IVC injuries are highly fatal with mortality rates between 70 and 90%. Management of these injuries should be tailored based on hemodynamic stability of such patients.

Background

Bullying and victimization are ongoing concerns in schools. School health centers (SHCs) are well situated to support affected students because they provide crisis intervention, mental health care, and broader interventions to improve school climate. This study examined the association between urban adolescents' experiences of school-based bullying and victimization and their use of SHCs.

Methods

Data was analyzed from 2063 high school students in 5 Northern California school districts using the 2009-2010 California Healthy Kids Survey. Chi-square tests and multivariate logistic regression were used to measure associations.

Results

Students who were bullied or victimized at school had significantly higher odds of using the SHCs compared with students who were not, and were also significantly more likely to report confidentiality concerns. The magnitude of associations was largest for Asian/Pacific Islander students, though this was likely due to greater statistical power. African American students reported victimization experiences at approximately the same rate as their peers, but were significantly less likely to indicate they experienced bullying.

Conclusions

Findings suggest that SHCs may be an important place to address bullying and victimization at school, but confidentiality concerns are barriers that may be more common among bullied and victimized youth.

Despite technological advances in the tracking of surgical motions, automatic evaluation of laparoscopic skills remains remote. A new method is proposed that combines multiple discrete motion analysis metrics. This new method is compared with previously proposed metric combination methods and shown to provide greater ability for classifying novice and expert surgeons. For this study, 30 participants (four experts and 26 novices) performed 696 trials of three training tasks: peg transfer, pass rope, and cap needle. Instrument motions were recorded and reduced to four metrics. Three methods of combining metrics into a prediction of surgical competency (summed-ratios, z-score normalization, and support vector machine [SVM]) were compared. The comparison was based on the area under the receiver operating characteristic curve (AUC) and the predictive accuracy with a previously unseen validation data set. For all three tasks, the SVM method was superior in terms of both AUC and predictive accuracy with the validation set. The SVM method resulted in AUCs of 0.968, 0.952, and 0.970 for the three tasks compared respectively with 0.958, 0.899, and 0.884 for the next best method (weighted z-normalization). The SVM method correctly predicted 93.7, 91.3, and 90.0% of the subjects’ competencies, whereas the weighted z-normalization respectively predicted 86.6, 79.3, and 75.7% accurately (p < 0.002). The findings show that an SVM-based analysis provides more accurate predictions of competency at laparoscopic training tasks than previous analysis techniques. An SVM approach to competency evaluation should be considered for computerized laparoscopic performance evaluation systems.

Recent technological advances have enabled real-time near-infrared fluorescence cholangiography (NIRFC) with indocyanine green (ICG). Whereas several studies have shown its feasibility, dosing and timing for practical use have not been optimized. We undertook a prospective study with systematic variation of dosing and timing from injection of ICG to visualization. Adult patients undergoing laparoscopic biliary and hepatic operations were enrolled. Intravenous ICG (0.02-0.25 mg/kg) was administered at times ranging from 10 to 180 minutes prior to planned visualization. The porta hepatis was examined using a dedicated laparoscopic system equipped to detect NIRFC. Quantitative analysis of intraoperative fluorescence was performed using a scoring system to identify biliary structures. A total of 37 patients were enrolled. Visualization of the extrahepatic biliary tract improved with increasing doses of ICG, with qualitative scores improving from 1.9 ± 1.2 (out of 5) with a 0.02-mg/kg dose to 3.4 ± 1.3 with a 0.25-mg/kg dose (P < .05 for 0.02 vs 0.25 mg/kg). Visualization was also significantly better with increased time after ICG administration (1.1 ± 0.3 for 10 minutes vs 3.4 ± 1.1 for 45 minutes, P < .01). Similarly, quantitative measures also improved with both dose and time. There were no complications from the administration of ICG. These results suggest that a dose of 0.25 mg/kg administered at least 45 minutes prior to visualization facilitates intraoperative anatomical identification. The dosage and timing of administration of ICG prior to intraoperative visualization are within a range where it can be administered in a practical, safe, and effective manner to allow intraoperative identification of extrahepatic biliary anatomy using NIRFC.