TASK DEFINITION: In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
PROBLEM: Context: Sepsis from burn injuries can result from colonisation of burn wounds, especially in large surface area burns. Reducing bacterial infection will reduce morbidity and mortality, and mortality for severe burns can be as high as 15%. There are various quantitative and semi-quantitative techniques to monitor bacterial load on wounds. In the UK, burn wounds are typically monitored for the presence or absence of bacteria through the collection and culture of swabs, but no absolute count is obtained. Quantitative burn wound culture provides a measure of bacterial count and is gaining increased popularity in some countries. It is however more resource intensive, and evidence for its utility appears to be inconsistent. This systematic review therefore aims to assess the evidence on the utility and reliability of different quantitative microbiology techniques in terms of diagnosing or predicting clinical outcomes.', 'Standard systematic review methods aimed at minimising bias will be employed for study identification, selection and data extraction. Bibliographic databases and ongoing trial registers will be searched and conference abstracts screened. Studies will be eligible if they are prospective studies or systematic reviews of burn patients (any age) for whom quantitative microbiology has been performed, whether it is compared to another method. Quality assessment will be based on quality assessment tools for diagnostic and prognostic studies and tailored to the review as necessary. Synthesis is likely to be primarily narrative, but meta-analysis may be considered where clinical and methodological homogeneity exists.\Question: Do protocol for a systematic review of quantitative burn wound microbiology in the management of burns patients?

SOLUTION: Given the increasing use of quantitative methods, this is a timely systematic review, which will attempt to clarify the evidence base. As far as the authors are aware, it will be the first to address this topic.

PROBLEM: Context: Although few studies have examined cardiovascular disease in Asian-American subgroups separately, limited data in Asian Americans strongly suggest that some subgroups are at increased risk. The present study examined modifiable cardiovascular risk factor profiles as a function of Asian ethnicity.', 'This descriptive cross-sectional pilot study recruited Asian-American women (N=147) in northeast Florida including Cambodians (n=39), Chinese (n=36), Filipinos (n=49), and Vietnamese (n=23). Risk factors included blood pressure, body mass index, waist circumference and blood lipids.', 'Filipino participants (41%) had 4 risk factors compared to 21% Cambodian, 13% Vietnamese and 0% Chinese. The Chinese had significantly more participants (44%) with the absence of CVD risk factors compared to all other subgroups. Obesity rate (18%), mean BMI: 26 5 kg/m(2) and mean triglycerides (173 103 mg/dL) were highest in Filipinas (n=49). The Chinese (n=36) had a low rate (4%) of obesity with a mean BMI of 23 3 kg/m(2) and the least risk factors along with the lowest triglycerides (88 44 mg/dL). Cambodians (n=39; BMI of 24 3 kg/m(2)) and Vietnamese (n=23; BMI: 22 3 kg/m(2)) had low rates of obesity with comparable rates of unhealthy lipids and hypertension as the Filipinas.\Question: Does one size fit all : cardiovascular health disparities as a function of ethnicity in Asian-American women?

SOLUTION: Modifiable CVD risk factor profiles significantly differed as a function of ethnicity supporting the premise that Asian-American women cannot be categorized as one group and the traditional "one size fits all" prevention or treatment of CVD risk factors should be re-considered.

PROBLEM: Context: Myocardial scarring leads to cardiac dysfunction and poor prognosis. The prevalence of and factors associated with unrecognized myocardial infarction and scar have not been previously defined using contemporary methods in a multiethnic US population.', 'To determine prevalence of and factors associated with myocardial scar in middle- and older-aged individuals in the United States.', 'The Multi-Ethnic Study of Atherosclerosis (MESA) study is a population-based cohort in the United States. Participants were aged 45 through 84 years and free of clinical cardiovascular disease (CVD) at baseline in 2000-2002. In the 10th year examination (2010-2012), 1840 participants underwent cardiac magnetic resonance (CMR) imaging with gadolinium to detect myocardial scar. Cardiovascular disease risk factors and coronary artery calcium (CAC) scores were measured at baseline and year 10. Logistic regression models were used to estimate adjusted odds ratios (ORs) for myocardial scar.', 'Cardiovascular risk factors, CAC scores, left ventricle size and function, and carotid intima-media thickness.', 'Myocardial scar detected by CMR imaging.', 'Of 1840 participants (mean [SD] age, 68 [9] years, 52% men), 146 (7.9%) had myocardial scars, of which 114 (78%) were undetected by electrocardiogram or by clinical adjudication. In adjusted models, age, male sex, body mass index, hypertension, and current smoking at baseline were associated with myocardial scar at year 10. The OR per 8.9-year increment was 1.61 (95% CI, 1.36-1.91; P <.001); for men vs women: OR, 5.76 (95% CI, 3.61-9.17; P <.001); per 4.8-SD body mass index: OR, 1.32 (95% CI, 1.09-1.61, P =.005); for hypertension: OR, 1.61 (95% CI, 1.12-2.30; P =.009); and for current vs never smokers: 2.00 (95% CI, 1.22-3.28; P =.006). Age-, sex-, and ethnicity-adjusted CAC scores at baseline were also associated with myocardial scar at year 10. Compared with a CAC score of 0, the OR for scores from 1 through 99 was 2.4 (95% CI, 1.5-3.9); from 100 through 399, 3.0 (95% CI, 1.7-5.1), and 400 or higher, 3.3 (95% CI, 1.7-6.1) (P .001). The CAC score significantly added to the association of myocardial scar with age, sex, race/ethnicity, and traditional CVD risk factors (C statistic, 0.81 with CAC vs 0.79 without CAC, P =.01).\Question: Does prevalence and correlate of Myocardial Scar in a US Cohort?

SOLUTION:
The prevalence of myocardial scars in a US community-based multiethnic cohort was 7.9%, of which 78% were unrecognized by electrocardiography or clinical evaluation. Further studies are needed to understand the clinical consequences of these undetected scars.