TASK DEFINITION: Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
PROBLEM: Trauma centers are currently benchmarked on mortality outcomes alone. However, pay-for-performance measures may financially penalize centers based on complications. Our objective was to determine whether the results would be similar to the current standard method of mortality-based benchmarking if trauma centers were profiled on complications.', 'We analyzed data from the National Trauma Data Bank from 2007 to 2010. Patients 16 years or older with blunt or penetrating injuries and an Injury Severity Score (ISS) of 9 or higher were included. Risk-adjusted observed-to-expected (O/E) mortality ratios for each center were generated and used to rank each facility as high, average, or low performing. We similarly ranked facilities on O/E morbidity ratios defined as occurrence of any major complication. Concordance between hospital performance rankings was evaluated using a weighted κ statistic. Correlation between morbidity- and mortality-based O/E ratios was assessed using Pearson coefficients. Sensitivity analyses were performed to mitigate the competing risk of death for the morbidity analyses.', 'A total of 449,743 patients from 248 facilities were analyzed. The unadjusted morbidity and mortality rates were 10.0% and 6.9%, respectively. No correlation was found between morbidity- and mortality-based O/E ratios (r = -0.01). Only 40% of the centers had similar performance rankings for both mortality and morbidity. Of the 31 high performers for mortality, only 11 centers were also high performers for morbidity. A total of 78 centers were ranked as average, and 11 ranked as low performers on both outcomes. Comparison of hospital performance status using mortality and morbidity outcomes demonstrated poor concordance (weighted κ = 0.03, p = 0.22).

SOLUTION: 0

PROBLEM: 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.

SOLUTION: 1

PROBLEM: Atherosclerosis is the primary cause of coronary artery disease (CAD). There is increasing recognition that lesion composition rather than size determines the acute complications of atherosclerotic disease. Low serum adiponectin levels were reported to be associated with coronary artery disease and future incidence of acute coronary syndrome (ACS). The impact of adiponectin on lesion composition still remains to be determined.', 'We measured serum adiponectin levels in 303 patients with stable typical or atypical chest pain, who underwent dual-source multi-slice CT-angiography to exclude coronary artery stenosis. Atherosclerotic plaques were classified as calcified, mixed or non-calcified. In bivariate analysis adiponectin levels were inversely correlated with total coronary plaque burden (r = -0.21, p = 0.0004), mixed (r = -0.20, p = 0.0007) and non-calcified plaques (r = -0.18, p = 0.003). No correlation was seen with calcified plaques (r = -0.05, p = 0.39). In a fully adjusted multivariate model adiponectin levels remained predictive of total plaque burden (estimate: -0.036, 95%CI: -0.052 to -0.020, p<0.0001), mixed (estimate: -0.087, 95%CI: -0.132 to -0.042, p = 0.0001) and non-calcified plaques (estimate: -0.076, 95%CI: -0.115 to -0.038, p = 0.0001). Adiponectin levels were not associated with calcified plaques (estimate: -0.021, 95% CI: -0.043 to -0.001, p = 0.06). Since the majority of coronary plaques was calcified, adiponectin levels account for only 3% of the variability in total plaque number. In contrast, adiponectin accounts for approximately 20% of the variability in mixed and non-calcified plaque burden.

SOLUTION:
0