TASK DEFINITION: Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.
PROBLEM: Context: Intermountain Risk Score (IMRS) uses the admission complete blood count and basic metabolic profile to predict mortality. Intermountain Risk Score has been validated in medical patients but has not been evaluated in trauma. This study tested whether IMRS is predictive of mortality in a trauma population at a level I trauma center.', 'Admitted trauma patients with complete blood count and basic metabolic profile from October 2005 to December 2011 were evaluated. Thirty-day and 1-year IMRS were calculated using multivariable modeling. Mortality was determined using the medical record and Social Security Administration death data.', 'Three thousand six hundred thirty-seven females and 5901 males were evaluated. Intermountain Risk Score was highly predictive of death at 30 days (c-statistics, c = 0.772 for females; c = 0.783 males) and 1 year (c = 0.778 for females; c = 0.831 males). Cox regression analysis, adjusted for injury severity score, blunt vs penetrating, and length of stay, showed increased mortality risks among patients in the moderate- and high-risk IMRS-defined groups at both 30 days and 1 year, with hazard ratios ranging from 4.96 to 57.88 (all P < .001).
Answer: Intermountain Risk Score strongly predicts mortality in trauma patients at this single level I trauma center. The ability to accurately determine a patient's mortality risk at admission makes IMRS a potentially clinically important tool.

SOLUTION: Does the Intermountain Risk Score predict mortality in trauma patients?

PROBLEM: Context: Women diagnosed with pregnancy-associated breast cancer postpartum have a worse prognosis, stage for stage, than other women with breast cancer. The time of breast involution is tumor promotional. The extracellular matrix protein tenascin-C is upregulated during involution in animal models and promotes breast cancer progression. It interacts with transforming growth factor (TGF), which also is involved in breast involution and breast cancer progression. Little is known about the expression of tenascin-C during human breast involution, nor its relationship to TGF. The purpose of this study was to investigate the expression of tenascin-C throughout lactation, as well as its relationship to TGF1 and TGF2.', 'Three milk samples from 25 lactating women (transitional, whole, and wean) were collected, separated into components (cells, fat, and skim), and the skim fraction analyzed for total protein, tenascin-C, TGF1, and TGF2. Tenascin-C, TGF1, and TGF2 were detectable in all milk samples.', 'Highest tenascin-C levels on average were found in whole milk, whereas highest mean TGF1 and TGF2 levels were in wean milk. Wean samples on average had higher levels of both TGF1 (26%) and TGF2 (>500%) than matched transitional milk samples. Tenascin-C levels in wean milk were associated with nursing length (p = 0.048). Combining all three milk collection time points, tenascin-C exhibited a weak inverse correlation with TGF1 and TGF2 (p < 0.1). The inverse correlation at the wean time point was stronger for TGF2 than -1 (-0.37 versus -0.25). Tenascin-C, a protein known to promote breast cancer progression, is expressed throughout lactation.
Answer: The inverse correlation with TGF2 in wean milk suggests a possible interaction during breast involution, which should be further investigated.

SOLUTION: Does expression of the Extracellular Matrix Protein Tenascin-C vary During Lactation?

PROBLEM: Context: In patients with stroke, gradient-echo MRI commonly detects microbleeds, indicating small artery disease with increased risk of macroscopic intracranial bleeding. Antithrombotic treatments are frequently prescribed after TIA and stroke, but there have been no previous studies of microbleeds in TIA. Because microbleeds may predict the hemorrhagic risk of antithrombotic treatments, we studied the prevalence of microbleeds, risk factors, and pathophysiologic mechanisms in patients with ischemic stroke and TIA.', 'One hundred twenty-nine consecutive patients with ischemic stroke or TIA were studied with MRI including T2, fluid-attenuated inversion recovery, and gradient-echo MRI sequences. Blinded observers counted microbleeds and graded white matter T2 hyperintensities throughout the brain. TIA patients with previous ischemic stroke were excluded.', 'Sixty-seven percent of patients had ischemic stroke; 33% had TIA. Microbleeds were found in 23% of ischemic stroke patients but only 2% of TIA patients (p < 0.001). There were no significant differences in conventional risk factors or the severity of white matter disease on T2 MRI between stroke and TIA patients. Patients with microbleeds were more often hypertensive (81 vs 59%; p = 0.04) and had more severe MRI white matter disease on T2 MRI (p = 0.003).
Answer: Microbleeds are common in ischemic stroke but rare in TIA, an observation not explained by differences in vascular risk factors or severity of white matter disease seen on T2 MRI. This finding has implications for the safety of antithrombotic therapy and clinical trial design in the two groups. Microbleeds may also be a new marker for severe microvascular pathology with increased risk of permanent cerebral infarction.

SOLUTION:
Are cerebral microbleeds common in ischemic stroke but rare in TIA?