Drug screening during pregnancy: Urine dip cups measure up.

BACKGROUND: Substance use during pregnancy is a major medical and public health concern. Determination of the most appropriate screening protocol remains a clinical conundrum. Interviews and/or laboratory drug screens may be costly, inaccurate, and are frequently inadequate to identify patterns of substance use for a given population or geographic area. We compared commercially available urine "dip cup" toxicology screens obtained in the clinic to university hospital drug toxicology results. METHODS: 267 observed urine samples were collected from pregnant women with known substance use disorders enrolled in a specialized treatment program that included access to buprenorphine medication-assisted treatment. Each urine sample was tested by commercial dip cup with temperature confirmation and then sent to the university hospital laboratory for analyses. The number of substances detected and cost for each screening method were compared. RESULTS: Uniformly, the dip cup had comparable detection of amphetamines, barbiturates, cocaine, methadone, opiates, and tetrahydrocannabinol to the university hospital laboratory with the exception of benzodiazepines. In addition, the dip cup detected use of buprenorphine (a commonly misused opiate receptor ligand not included in the hospital screen) and was significantly less expensive. CONCLUSIONS: Commercially available urine dip cups are cost-effective, equally comparable to hospital based screening, and provide 'real time' results germane to clinical care and treatment planning.

Predicting episodic memory formation for movie events.

Episodic memories are long lasting and full of detail, yet imperfect and malleable. We quantitatively evaluated recollection of short audiovisual segments from movies as a proxy to real-life memory formation in 161 subjects at 15 minutes up to a year after encoding. Memories were reproducible within and across individuals, showed the typical decay with time elapsed between encoding and testing, were fallible yet accurate, and were insensitive to low-level stimulus manipulations but sensitive to high-level stimulus properties. Remarkably, memorability was also high for single movie frames, even one year post-encoding. To evaluate what determines the efficacy of long-term memory formation, we developed an extensive set of content annotations that included actions, emotional valence, visual cues and auditory cues. These annotations enabled us to document the content properties that showed a stronger correlation with recognition memory and to build a machine-learning computational model that accounted for episodic memory formation in single events for group averages and individual subjects with an accuracy of up to 80%. These results provide initial steps towards the development of a quantitative computational theory capable of explaining the subjective filtering steps that lead to how humans learn and consolidate memories.