Transorbital penetrating head injury with a hunting arrow: Case report

The development of more complex and diverse hunting weapons may result in an increase of uncommon forms of penetrating injury to the brain. We present a case of non-fatal transorbital arrow injury to the brain. High velocity projectile injuries merit certain management adaptations from gunshot or low velocity stab wounds. This case highlights the necessity for anterograde removal of the arrow in the direction of its line of trajectory. Early assessment of the patient with cerebral angiography to identify surgically correctable vascular injury is recommended.     

p16 Immunoreactivity in unusual types of cervical adenocarcinoma does not reflect human papillomavirus infection

Houghton O, Jamison J, Wilson R, Carson J & McCluggage W G
(2010) Histopathology 57, 342–350
p16 Immunoreactivity in unusual types of cervical adenocarcinoma does not reflect human papillomavirus infection Aims: The association between human papillomavirus (HPV) and cervical carcinoma is well known, with HPV being identifiable in almost all cervical squamous carcinomas and most adenocarcinomas. However, the prevalence of HPV in unusual morphological types of cervical adenocarcinoma has not been investigated extensively. The aim was to determine HPV status in a series of primary cervical adenocarcinomas, enriched for unusual morphological types. The relationship between HPV and p16 immunoreactivity in these neoplasms was also investigated, as it is generally assumed that in cervical neoplasms diffuse p16 expression is predictive of the presence of high‐risk HPV. Methods and results: Sixty‐three cervical adenocarcinomas, comprising those of usual type (n = 43), minimal deviation type (n = 4), gastric type (n = 3), intestinal type (n = 3), mesonephric type (n = 3), clear cell type (n = 4), serous type (n = 2) and hepatoid type (n = 1) underwent linear array HPV genotyping and immunohistochemistry for p16. Overall, HPV was identified in 32 of 56 cases (57%) in which sufficient DNA was present for analysis. The most common HPV types were 16 and 18, with these being identified in 20 and 18 cases, respectively, either alone or in combination. Seventy‐eight per cent of usual‐type adenocarcinomas were HPV‐positive, as was the single serous carcinoma in which there was sufficient DNA for analysis. In contrast, all minimal deviation adenocarcinomas and those of gastric, intestinal, mesonephric and clear cell types were HPV‐negative, as was the single hepatoid carcinoma. All usual‐type adenocarcinomas exhibited p16 immunoreactivity (diffuse staining in all but one case), as did 11 of 20 of those of unusual morphological type (five focal, six diffuse). Conclusions: Most, but not all, cervical adenocarcinomas of usual type contain HPV, but those of unusual morphological type are almost always HPV‐negative. This has implications for the efficacy of HPV vaccination in the prevention of cervical adenocarcinoma. A significant proportion of cervical adenocarcinomas are p16‐positive in the absence of HPV, illustrating that in these neoplasms diffuse p16 immunoreactivity is not a reliable surrogate marker of the presence of high‐risk HPV.     

Asthmatics: too drunk to drive? The time curve of exhaled ethanol levels after use of Salamol in normal subjects

Salamol, a new chlorofluorocarbon-free metered dose inhaler (MDI) containing salbutamol with small amounts of ethanol as a co-solvent, has been introduced in New Zealand. We evaluated the effect of breath alcohol levels after two inhalations from this MDI, and plotted a time-response curve. We tested 16 healthy volunteers. The breath alcohol levels rose to 1932 mcg/L immediately after inhalation with a standardised technique. We concluded that in all normal subjects their breath test was negative after 3 minutes, and at least a 5 minute wait post Salamol inhalation is necessary before roadside breath testing should be undertaken, otherwise a failed breath test is likely.     

Community violence exposure correlates with smaller gray matter volume and lower IQ in urban adolescents

Adolescents’ exposure to community violence is a significant public health issue in urban settings and has been associated with poorer cognitive performance and increased risk for psychiatric illnesses, including PTSD. However, no study to date has investigated the neural correlates of community violence exposure in adolescents. Sixty‐five healthy adolescents (age = 14–18 years; 36 females, 29 males) from moderate‐ to high‐crime neighborhoods in Los Angeles reported their violence exposure, parents’ education level, and free/reduced school lunch status (socio‐economic status, SES), and underwent structural neuroimaging and intelligence testing. Violence exposure negatively correlated with measures of SES, IQ, and gray matter volume. Above and beyond the effect of SES, violence exposure negatively correlated with IQ and with gray matter volume in the left inferior frontal gyrus and anterior cingulate cortex, regions involved in high‐level cognitive functions and autonomic modulation, and previously shown to be reduced in PTSD and combat‐exposed military populations. The current results provide first evidence that frontal brain regions involved in cognition and affect appear to be selectively affected by exposure to community violence, even in healthy nondelinquent adolescents who are not the direct victims or perpetrators of violence.     

Incorporating real-world evidence into the development of patient blood glucose prediction algorithms for the ICU

ObjectiveGlycemic control is an important component of critical care. We present a data-driven method for predicting intensive care unit (ICU) patient response to glycemic control protocols while accounting for patient heterogeneity and variations in care.Materials and MethodsUsing electronic medical records (EMRs) of 18 961 ICU admissions from the MIMIC-III dataset, including 318 574 blood glucose measurements, we train and validate a gradient boosted tree machine learning (ML) algorithm to forecast patient blood glucose and a 95% prediction interval at 2-hour intervals. The model uses as inputs irregular multivariate time series data relating to recent in-patient medical history and glycemic control, including previous blood glucose, nutrition, and insulin dosing.ResultsOur forecasting model using routinely collected EMRs achieves performance comparable to previous models developed in planned research studies using continuous blood glucose monitoring. Model error, expressed as mean absolute percentage error is 16.5%–16.8%, with Clarke error grid analysis demonstrating that 97% of predictions would be clinically acceptable. The 95% prediction intervals achieve near intended coverage at 93%–94%.DiscussionML algorithms built on observational data sources, such as EMRs, present a promising approach for personalization and automation of glycemic control in critical care. Future research may benefit from applying a combination of methodologies and data sources to develop robust methodologies that account for the variations seen in ICU patients and difficultly in detecting the extremes of observed blood glucose values.ConclusionWe demonstrate that EMRs can be used to train ML algorithms that may be suitable for incorporation into ICU decision support systems.