Recent Publications by CFE Educators

AIMS

Voiding positions and preferences in men are not well characterized. In this study, we aim to understand the interplay of voiding characteristics and their impact on voiding position.

METHODS

We designed a 27-item survey to assess voiding characteristics and lower urinary tract symptoms (LUTS) severity in men seen in urology and other outpatient clinics. Participants included adult men patients and adult men accompanying patients at our institution's outpatient clinics. Data collected included demographics, International Prostate Symptom Score questionnaire, stream type (single, split, and dribble), voiding behavior, positional stream quality, and voiding bother.

RESULTS

We received 195 completed surveys (80% response rate). Of men queried, 18% (35/195) preferred to sit while voiding. Overall, men who sit had a higher proportion of LUTS (66% [23/35] vs. 41% [66/160]; p = .01), more physical limitations affecting voiding choice (20% [7/35] vs. 3% [5/160]; (p = .001), and a lower desire to stand (6% [2/35] vs. 24% [38/160]; p = .02), compared to men who stand. Men who sit while voiding reported nearly double the amount of voiding associated bother (34% [12/35]) compared to men who stand (18% [28/160]; p = .04). Older aged men reported a similar rate of seated urination compared to younger men. The most common reasons to void seated included comfort and avoidance of spraying.

CONCLUSIONS

Our findings discourage the use of anecdotal beliefs founded on generalizable characteristics, such as age and stream type, to infer a patient's voiding characteristics. Open dialog with patients regarding voiding preferences may garner important information regarding overall urologic health and better inform urologic care.

This report summarizes the current multimodality treatment approaches for children with low- and high-grade gliomas, germinoma, and nongerminomatous germ cell tumors, and craniopharyngiomas used in the Children's Oncology Group (COG) and the International Society of Pediatric Oncology (SIOP). Treatment recommendations are provided in the context of historical approaches regarding the roles of surgery, radiation, and chemotherapy. Future research strategies for these tumors in both COG and SIOP are also discussed.

BACKGROUND

Radiation therapy (RT) is essential to the management of many brain tumors, but has been known to lead to cognitive decline and vascular injury in the form of cerebral microbleeds (CMBs).

PURPOSE

In a subset of children, adolescents, and young adults recruited from a larger trial investigating arteriopathy and stroke risk after RT, we evaluated the prevalence of CMBs after RT, examined risk factors for CMBs and cognitive impairment, and related their longitudinal development to cognitive performance changes.

METHODS

Twenty-five patients (mean 17 years, range: 10-25 years) underwent 7-Tesla MRI and cognitive assessment. Nineteen patients were treated with whole-brain or focal RT 1-month to 20-years prior, while 6 non-irradiated patients with posterior-fossa tumors served as controls. CMBs were detected on 7T susceptibility-weighted imaging (SWI) using semi-automated software, a first use in this population.

RESULTS

CMB detection sensitivity with 7T SWI was higher than previously reported at lower field strengths, with one or more CMBs detected in 100% of patients treated with RT at least 1-year prior. CMBs were localized to dose-targeted brain volumes with risk factors including whole-brain RT (p = 0.05), a higher RT dose (p = 0.01), increasing time since RT (p = 0.03), and younger age during RT (p = 0.01). Apart from RT dose, these factors were associated with impaired memory performance. Follow-up data in a subset of patients revealed a proportional increase in CMB count with worsening verbal memory performance (r = -0.85, p = 0.03).

CONCLUSIONS

Treatment with RT during youth is associated with the chronic development of CMBs that evolve with memory impairment over time.

BACKGROUND

Limited data exists regarding the effects of empiric antibiotic use in pediatric oncology patients with febrile neutropenia (FN) on the development of antibiotic resistance. We evaluated the impact of a change in our empiric FN guideline limiting vancomycin exposure on the development of vancomycin-resistant Enterococcus in pediatric oncology patients.

METHODS

Retrospective, quasi-experimental, single-center study using interrupted timeseries analysis in oncology patients aged ≤18 years with at least 1 admission for FN between 2009 and 2015. Risk strata incorporated diagnosis, chemotherapy phase, Down syndrome, septic shock, and typhlitis. Microbiologic data and inpatient antibiotic use were obtained by chart review. Segmented Poisson regression was used to compare VRE incidence and antibiotic days of therapy (DOT) before and after the intervention.

RESULTS

We identified 285 patients with 697 FN episodes pre-intervention and 309 patients with 691 FN episodes postintervention. The proportion of high-risk episodes was similar in both periods (49% vs 48%). Empiric vancomycin DOT/1000 FN days decreased from 315 pre-intervention to 164 post-intervention (P .01) in high-risk episodes and from 199 to 115 in standard risk episodes (P .01). Incidence of VRE/1000 patient-days decreased significantly from 2.53 pre-intervention to 0.90 post-intervention (incidence rate ratio, 0.14; 95% confidence interval, 0.04-0.47; P = .002).

CONCLUSIONS

A FN guideline limiting empiric vancomycin exposure was associated with a decreased incidence of VRE among pediatric oncology patients. Antimicrobial stewardship interventions are feasible in immunocompromised patients and can impact antibiotic resistance.

PURPOSE

Lung biomechanical models are important for understanding and characterizing lung anatomy and physiology. A key parameter of biomechanical modeling is the underlying tissue elasticity distribution. While human lung elasticity estimations do not have ground truths, model consistency checks can and should be employed to gauge the stability of the estimation techniques. This work proposes such a consistency check using a set of 10 subjects.

METHODS

We hypothesize that lung dynamics will be stable over a 2-3 min time period and that this stability can be employed to check biomechanical estimation stability. For this purpose, two sets of 12 fast helical free breathing computed tomography scans (FHFBCT) were acquired back-to-back for each of the subjects. A published breathing motion model [five-dimensional CT (5DCT)] was generated from each set. Both of the models were used to generate two biomechanical modeling input sets: (a) The lung geometry at the end-exhalation, and (b) the voxel displacement map that mapped the end-exhalation lung geometry with the end-inhalation lung geometry. Finite element biomechanical lung models were instantiated using the end-exhalation lung geometries. The models included voxel-specific lung tissue elasticity values and were optimized using a gradient search approach until the biomechanical model-generated displacement maps matched those of the 5DCT voxel displacement maps. Finally, the two elasticity distributions associated with each of the patient 5DCTs were quantitatively compared. Because the end-exhalation geometries differed slightly between the two scan datasets, the elasticity distributions were deformably mapped to one of the exhalation datasets.

RESULTS

For the 10 patients, on average, 90% of parenchymal voxels had 2 kPa Young's modulus difference between the two estimations, with a mean voxel difference of only 0.6 kPa. Similarly, 97% of the parenchymal voxels had 2 mm displacement difference between the two models with a mean difference of 0.48 mm. Furthermore, overlapping elasticity histograms for voxels between -600 and -900 HU (parenchymal tissues) showed that the histograms were consistent between the two estimations.

CONCLUSION

In this paper, we demonstrated that biomechanical lung models can be consistently estimated when using motion-model based imaging datasets, even though the models were created from scans acquired at different breaths.

OBJECTIVE

To examine the use of benzodiazepines and the association between low benzodiazepine dose, breakthrough seizures, and respiratory support in patients with status epilepticus.

METHODS

In this cross-sectional analysis of adult patients with status epilepticus treated by an emergency medical services agency from 2013 to 2018, the primary outcome was treatment with a second benzodiazepine dose, an indicator for breakthrough seizure. The secondary outcome was receiving respiratory support. Midazolam was the only benzodiazepine administered.

RESULTS

Among 2,494 patients with status epilepticus, mean age was 54.0 years and 1,146 (46%) were female. There were 1,537 patients given midazolam at any dose, yielding an administration rate of 62%. No patients received a dose and route consistent with national guidelines. Rescue therapy with a second midazolam dose was required in 282 (18%) patients. Higher midazolam doses were associated with lower odds of rescue therapy (odds ratio [OR], 0.8; 95% confidence interval [CI], 0.7-0.9) and were not associated with increased respiratory support. If anything, higher doses of midazolam were associated with decreased need for respiratory support after adjustment (OR, 0.9; 95% CI, 0.8-1.0).

CONCLUSIONS

An overwhelming majority of patients with status epilepticus did not receive evidence-based benzodiazepine treatment. Higher midazolam doses were associated with reduced use of rescue therapy and there was no evidence of respiratory harm, suggesting that benzodiazepines are withheld without clinical benefit.

CLASSIFICATION OF EVIDENCE

This study provides Class III evidence that for patients with status epilepticus, higher doses of midazolam led to a reduced use of rescue therapy without an increased need for ventilatory support.