Given a passage, 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.

Immunologic abnormalities have been found in bipolar disorder but pentraxin 3, a marker of innate immunity, has not been studied in this population.', 'Levels of pentraxin 3 were measured in individuals with bipolar disorder, schizophrenia, and non-psychiatric controls. Linear regression models were used to compare the pentraxin 3 levels in each of the psychiatric groups to that in the control group, adjusting for demographic and clinical variables. Logistic regression models were used to calculate the odds ratios associated with levels of pentraxin 3 which differed from specified levels of the control group.', 'The sample consisted of 831 individuals: 256 with bipolar disorder, 309 with schizophrenia, and 266 without a psychiatric disorder. The levels of pentraxin 3 in the bipolar disorder, but not in the schizophrenia, group were significantly lower than those of controls, adjusting for age, gender, race, maternal education, smoking status, and body mass index (t = -3.78, p < 0.001). The individuals with bipolar disorder also had significantly increased odds of having low levels of pentraxin 3 relative to both the 10th and 25th percentile level of the controls and significantly decreased odds of having a level greater than the 75th and the 90th percentile level of the controls, adjusting for the same covariates.
Is pentraxin 3 reduced in bipolar disorder?

Video-EEG monitoring in the epilepsy monitoring unit (EMU) is a limited clinical resource. Knowledge of the predicting factors for length of stay (LOS) in the EMU may allow providers to more efficiently utilize EMU bed space.', 'The records for all consecutive admissions to the EMU at the University of Colorado Hospital between December 1, 2010 and May 31, 2011 (n = 142) were retrospectively reviewed.', 'Univariate analyses focusing on variables known prior to admission showed that EMU LOS (in hours) was not significantly correlated with patient age, number of event types, or number of antiepileptic drugs at admission. Patients who were admitted to the EMU for event characterization had statistically significantly shorter average LOS than patients who had been admitted as a part of a presurgical evaluation. Patients who reported < = 1 seizure per week had a statistically significantly higher average LOS than patients who reported >= 1 seizure per day. These variables were also significantly predictive of total LOS (p < 0.0001 and p = 0.03, respectively) in multivariate analysis.
Do pre-admission clinical factors affect length of stay in the epilepsy monitoring unit?

To determine whether insulin resistance (IR calculated using the HOMA model) has a dominant role in the clustering of cardiovascular risk factors in the Asian Indian population.', 'A total of 654 non-diabetic subjects aged > or =40 years (male 396: female 258) were selected from a population survey. They had estimates of fasting and 2 h plasma glucose, insulin levels, body mass index (BMI), waist-to-hip ratio (WHR) and blood pressure. Factor analysis was carried out using the principle components analysis (PCA) with varimax orthogonal rotation of continuously distributed variables, considered to represent the components of insulin resistance syndrome including the calculated IR.', 'There were three major clusters of cardiovascular disease (CVD) risk variables in men and four clusters in women. Insulin resistance, 2 h plasma glucose, insulin and obesity aggregated as the major domain. Insulin resistance was not linked with hypertension. BMI was a common link for all the three factors in men, and for three of the four in women.
Does insulin resistance alone explain the clustering of cardiovascular risk factors in southern India?