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.

Ex Input:
An association between obesity and otitis media with effusion (OME) has been previously reported. The aim of this study was to evaluate the association between dietary intake and OME when adjusting obesity.', 'We analyzed the differences in dietary intake between children with/without OME who were 4 through 13 years of age using data from a large population-based survey - the Korea National Health and Nutrition Examination Survey - from 2008 through 2012. Data from 4359 participants were analyzed using simple and multiple logistic regression analyses with complex sampling.', 'The BMI category, the proportion of total calorie intake, protein intake, water intake, and Na intake (intake/recommendation), and the distribution of carbohydrate intake were not associated with OME. The distribution of fat intake was associated with OME (each 10% increase of fat calories/total calories: unadjusted odds ratio [OR]=1.331, 95% confidence interval [CI]=1.016-1.744, P=0.038; age- and sex-adjusted OR=1.359, 95% CI=1.028-1.797, P=0.031; adjusted for age, sex and other factors OR=1.392, 95% CI=1.054-1.839, P=0.020). Based on BMI subgroup analysis, the distribution of fat intake was associated with OME in the healthy weight group (each 10% increase of fat calories/total calories: unadjusted OR=1.393, 95% CI=1.017-1.909, P=0.039; adjusted OR=1.470, 95% CI=1.051-2.055, P=0.024) but not in the obese group.

Ex Output:
Is a high-fat diet associated with otitis media with effusion?

Ex Input:
Some living kidney donors report lost income during recovery from surgery. Little is known about whether concern for living donor's lost income affects the decision to undergo donation evaluation and the willingness of transplant candidates to discuss living kidney donation (LKD) with others.", 'To examine whether transplant patients were told by potential donors about lost income concerns and whether patients chose not to discuss LKD with others due to lost income concerns.', "Kidney transplant patients (185 wait-listed candidates, 171 deceased donor recipients, and 100 live donor recipients) at 2 centers completed a questionnaire to assess whether concern about donor's lost income was a consideration in discussion about LKD with others.", 'One-third (32%) were told by a family member/friend that they were willing to donate but were concerned about potential lost income. The majority of those who expressed financial concern (64%) did not initiate donation evaluation. Many patients (42%) chose not to discuss living donation with a family member/friend due to concern about the impact of lost income on the donor. In the multivariable model, lower annual household income was the only statistically significant predictor of both having a potential donor expressing lost income concern and choosing not to talk to someone because of lost income concern.

Ex Output:
Does concern for Lost Income Following Donation deter Some Patients From Talking to Potential Living Donors?

Ex Input:
Biomarkers predictive of recovery from acute kidney injury (AKI) after liver transplantation (LT) could enhance decision algorithms regarding the need for liver-kidney transplantation or renal sparing regimens. Multianalyte plasma/urine kidney injury protein panels were performed immediately before and 1 month post-LT in an initial test group divided by reversible pre-LT AKI (rAKI = post-LT renal recovery) versus no AKI (nAKI). This was followed by a larger validation set that included an additional group: irreversible pre-LT AKI (iAKI = no post-LT renal recovery). In the test group (n = 16), six pre-LT plasma (not urine) kidney injury proteins (osteopontin [OPN], neutrophil gelatinase-associated lipocalin, cystatin C, trefoil factor 3, tissue inhibitor of metalloproteinase [TIMP]-1, and -2-microglobulin) were higher in rAKI versus nAKI (P < 0.05) and returned to normal values with renal recovery post-LT. In the validation set (n = 46), a number of proteins were significantly higher in both rAKI and iAKI versus nAKI. However, only pre-LT plasma OPN (P = 0.009) and TIMP-1 (P = 0.019) levels were significantly higher in rAKI versus iAKI. Logistic regression modeling was used to correlate the probability of post-LT rAKI, factoring in both pre-LT protein markers and clinical variables. A combined model including elevated OPN and TIMP-1 levels, age <57, and absence of diabetes had the highest area under the curve of 0.82, compared to protein-only and clinical variable-only models.

Ex Output:
Do plasma protein biomarkers enhance the clinical prediction of kidney injury recovery in patients undergoing liver transplantation?