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: Hypertrophic cardiomyopathy (HCM) is associated with myocardial scarring and ventricular tachycardia (VT). Contrast-enhanced cardiac magnetic resonance imaging (CE-CMR) can quantify myocardial scar, and scar imaging has been documented in patients with HCM. We investigated the assessment of myocardial scar in HCM patients using CE-CMR, and its correlation with proven VT.', 'Twenty-five patients (mean age 54 +/- 8) with HCM who underwent CE-CMR were identified, and clinical data obtained from chart review. Parameters of LV function were calculated from cine imaging, and myocardial scar was assessed using delayed enhancement imaging following gadolinium administration.', 'Myocardial scar was detected in 16 (64%) patients with a mean mass 9 +/- 15 g. Scar was patchy, mid-myocardial and located in the basal anteroseptum, and RV insertion sites. Scar was seen in septal, apical and concentric variants of HCM. Scar mass correlated with both LV Mass (r2 = 0.74) and maximal LV wall thickness (r2 = 0.42). VT occurred in 32% of patients, and was associated with both increased scar mass and wall thickness compared to non-VT patients (21 +/- 22 g vs. 4 +/- 6 g, and 2.4 +/- 0.5 cm vs. 1.8 +/- 0.5 cm, p < 0.05). LV size and function were similar in patients with and without VT. A scar mass of >7 g predicted the presence of VT with a sensitivity of 75% and specificity 82%.

SOLUTION: 0

PROBLEM: One anesthesiologist performance metric is the incidence of "prolonged" (15 min or longer after dressing complete) times to extubation. The authors used several methods to identify the performance outliers and assess whether targeting these outliers for reduction could improve operating room workflow.', "Time to extubation data were retrieved for 27,757 anesthetics and 81 faculty anesthesiologists. Provider-specific incidences of prolonged extubation were assessed by using unadjusted frequentist statistics and a Bayesian model adjusted for prone positioning, American Society of Anesthesiologist's base units, and case duration.", '20.31% of extubations were "prolonged," and 40% of anesthesiologists were identified as outliers using a frequentist approach, that is, incidence greater than upper 95% CI (20.71%). With an adjusted Bayesian model, only one anesthesiologist was deemed an outlier. If an average anesthesiologist performed all extubations, the incidence of prolonged extubations would change negligibly (to 20.67%). If the anesthesiologist with the highest incidence of prolonged extubations was replaced with an average anesthesiologist, the change was also negligible (20.01%). Variability among anesthesiologists in the incidence of prolonged extubations was significantly less than among other providers.

SOLUTION: 0

PROBLEM: Paraneoplastic syndromes are serious immune caused diseases of the peripheral and/or central nervous system associated with malignant neoplasm. Symptoms develop when antibodies against antigens expressed by tumor cells cross-react with neuronal proteins. Antineuronal antibodies are usually examined in patient's sera while examination of the cerebrospinal fluid (CSF) often fails. Furthermore, the few previous reports describing CSF data summarized different antineuronal antibodies and/or regarded patients with different neurological symptoms as one group.", 'We retrospectively evaluated data of 18 patients with paraneoplastic syndromes due to anti-Hu antibodies. The study aimed to differentiate patients with peripheral neuropathy and encephalitis by cerebrospinal fluid (CSF) parameters including anti-Hu antibody titers.', 'Our results confirm previous observations that serum titers of anti-Hu antibodies and standard CSF values do not differ between patients with neuropathy and encephalitis. However, analysis of CSF anti-Hu titers and calculating the intrathecal synthesis helped to discriminate between both groups.

SOLUTION:
0