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Commercial-off-the-shelf (COTS) materials were evaluated as surface samplers for the Department of Homeland Security Chemical Forensics Program. The program helps evidence collectors identify trace chemical residues at incident scenes. COTS items are widely available, produced in large lots, and with strict controls. Chemical attribution signatures were collected from common surfaces. Eight tape lift candidates were considered, five were chosen based on performance and tested for analytical interferences and extraction efficiencies with 14 chemicals. Three products (duct tape, print lifters, command strips) were evaluated for uptake from common interior surfaces (glass, tile, ABS plastic). Duct tape provided highest recoveries across all surfaces. Even the most volatile analytes were detected in the ABS plastic samples (nondetections in others), regardless of tape lift material used. The porous plastic substrate provides better target retention than glass and tile surfaces. Forensic field operators should sample surfaces made of ABS plastic (keyboards, remotes, phones, etc.) whenever possible.

The UK healthcare system holds a favorable position in the development of stratified medicines through strong scientific innovation, robust biotechnology and pharmaceutical industries and comparatively simple regulatory and reimbursement processes. Organizations such as its robust health technology assessment agency, the NICE and its mature socialized healthcare system, the National Health Service, enable innovative medicines, including stratified treatments for cancer and infectious disease, to be rapidly assessed for their effectiveness and value to patients in the UK. However, our recent observations with a variety of UK healthcare stakeholders suggest that certain features need to be improved if the favorable position in stratified medicine development, and consequential beneficial outcome to patients, is to be sustained and indeed further enhanced to a position of pre-eminence. Key changes suggested are removing healthcare silos and enabling multidisciplinary teams to translate scientific and medical innovation into the best practice; expanding the UK skill base in certain disciplines including medical pathology, health economics and clinical informatics; and using successful pilot cases of stratified medicines to better educate stakeholders in a drive to change healthcare culture. Through this cultural change, the UK would offer healthcare based on prediction and prevention rather than symptom-based diagnosis and reactive treatment.

Background Unplanned hospital readmissions after surgical treatment for breast cancer are an indicator of morbidity. We explore the relationship between the rate of unplanned hospital readmissions within 42 days of initial treatment and various factors, including tumor size and histology, lymph node involvement, type of surgical treatment, mastectomy, or breast-conserving surgery, and patient demographics. Methods Linked Western Australian cancer mortality and hospital morbidity data were used in the assessment of readmissions within a period of 42 days after initial surgical treatment for breast cancer. Planned admissions for adjuvant treatment such as chemotherapy or radiotherapy were deleted. Survival models for multiple events per subject were applied to analyze the data. Results The analysis reveals that patients more likely to experience lower recurrence of short-term unplanned hospital readmissions include those with smaller tumors, private insurance, and who reside in metropolitan areas. The model also includes important two-way interaction terms involving tumor histology, area of residence, and surgical treatment, and between lymph node involvement and patient age. Conclusions This study suggests that the choice of breast-conserving surgery as a treatment for breast cancer does not invariably result in better postoperative morbidity, but rather, that other factors, including tumor size and patient demographics, play a critical role in the short term. These results differ from a previous study of longterm hospital readmissions—country of birth and method of payment were found to be associated with short-term hospital admission but not with longterm readmissions.

Preparations from comfrey (Symphytum officinale and S. x uplandicum) root and leaf contain varying levels of the hepatotoxic pyrrolizidine alkaloids (PAs). Reference compounds for comfrey are not commercially available, and there is currently no rapid extraction or analytical method capable of determining low levels in raw materials or as adulterants in commercially available extracts. A solid-phase extraction (SPE) method was developed using an Ergosil cleanup column that specifically binds the PAs. With this method, powdered comfrey root was extracted by sonication and shaking with basic chloroform. The extract was applied to the cleanup column under vacuum, washed with 2 mL acetone–chloroform (8 + 2, v/v) followed by 2 mL petroleum ether to remove excess chloroform. The column was dried under vacuum, and the PAs were eluted with 2 successive 1 mL aliquots methanol. Percent recoveries of the PAs following Ergosil SPE had an overall average of 96.8%, with RSD of 3.8% over a range of 1.0 to 25.0 g extracted in 100 mL. Average precision of the method (n = 3 over 4 extraction concentrations) gave an overall RSD of 6.0% for the 5 alkaloids, with a range of 0.8% (5 g in 100 mL) to 11.2% (25 g in 100 mL). Recovery optimization testing showed that 1.0 g comfrey root extracted in 100 mL yielded the greatest recovery (% dry weight) of the PAs, with an extraction efficiency and accuracy of 94.2%, and RSD of 1.7% (n = 9). The unique properties of the Ergosil cleanup column provide rapid sample cleanup, volume reduction, and concentration of PAs from comfrey extracts, and allow the eluant to be analyzed directly by traditional chromatographic methods.

A life history can be regarded as a random process that evolves with age through various states of health before terminating with absorption into the state of death. Health expectancies are the occupation times of the non-absorbing states and their estimation is of interest. A continuing major problem has been the lack of satisfactory longitudinal data on which to base estimates and as a result standard inferential techniques may not be relevant. Supposing only cross-sectional data available, we propose a method that is generally applicable and first estimates a logistic parametrization of the probabilities of the various states. A large sample approximation is obtained for the distribution of age specific log (odds). Parameters are estimated by weighted least squares, and this in turn leads to estimates of cohort health expectancies. A result of Liang and Zeger is used to find standard errors. The method is illustrated by application to Australian data from the health surveys of 1981, 1988 and 1993.