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.

Input: Consider Input: To investigate the relationship between mean platelet volume (MPV) and glycometabolic indices, to compare MPV according to HbA1c levels, and to analyse the difference in MPV between patients with and without microvascular complications.', 'This retrospective study was conducted on 60 Type 2 diabetic patients and 50 age- and sex-matched non-diabetic controls. We obtained demographic, clinical and laboratory data including MPV, platelet count, fasting and postprandial blood glucose (FBG and PBG), haemoglobin A1c (HbA1c), lipid profile, creatinine, systolic and diastolic blood pressure (BP) in patient and control groups, and diabetic microvascular complications including nephropathy, neuropathy, and retinopathy in the patient group. All analyses were performed using SPSS version 15.0 for Windows.', 'Mean platelet volume in the diabetic group was higher than in the control group (p = 0.001). Mean platelet volume was positively correlated with FBG and HbA1c levels (p = 0.03 and p < 0.001, respectively). It was also negatively related to platelet count (p < 0.001). Mean platelet volume in patients with HbA1c > 7% was significantly higher than those with HbA1c 7% (p < 0.001). Mean platelet volume was significantly increased in patients with retinopathy compared to those without retinopathy (p = 0.04).

Output: Is mean platelet volume associated with glycaemic control and retinopathy in patients with type 2 diabetes mellitus?

Input: Consider Input: Convulsions associated with fever and acute onset of unknown aetiology with case fatalities have become a long observed medical condition at the Child Health Department of the Korle-Bu Teaching Hospital. Children admitted to the department with seizures of undetermined origin and fever has been a source of diagnostic confusion. Studies from the Asia Pacific region suggest a link with non-polio enteroviruses. The aim of the study was to investigate the association between non-polio enterovirus and acute encephalopathy causing neurological morbidity in children.', 'One hundred and fifty cerebrospinal fluid (CSF), throat swab and serum samples were collected from participants at the Child Health Department of the Korle-Bu Teaching Hospital for virus isolation and characterization. Samples were cultured on cells and positive culture assayed by microneutralisation. Direct PCR as well as multiplex PCR were used to detect other viral agents present.', 'Enterovirus isolation rate was approximately 0.67%. Intratypic differentiation by molecular characterization identified a poliovirus from vaccine origin. Further screening by real-time RT-PCR identified the virus as normal Sabin and not vaccine-derive poliovirus. No arbovirus was however detected.

Output: Are human enteroviruses the cause of neurological impairments in children at the Korle-Bu Teaching Hospital?

Input: Consider Input: Increased medical staff workload has been associated with worse outcomes in several studies. Inappropriate staffing has also been implicated in the increased risk of mortality for medical patients admitted on weekends. A theoretical threshold patient load may exist, beyond which the resources are strained and patient outcomes suffer. The goal of the study was to see whether trauma patients admitted during 'high' patient-load periods, at night, or on weekends had worse outcomes.", 'Trauma patients admitted to a high-volume Level I trauma center from 1994 to 2002 were analyzed. Patient load was defined as a combination of the number of patients admitted and the severity of their illness. On the basis of a multivariate regression model, a probability of fatal outcome was calculated for each patient as a marker for the severity of illness. For each patient, two new variables were calculated, the number of admissions (#ad) and the average probability of fatal outcome (PFO) for the 24-hour period in which the patient was admitted (excluding the patient him- or herself). The above variables, night/d, and weekend/d were placed in a multivariate regression model.', "There were 30,686 patients. Age, mechanism of injury, Injury Severity Score, maximum head Abbreviated Injury Scale score, admission Glasgow Coma Scale score, systolic blood pressure, and intubation status were the independent predictors of mortality. This model had an outstanding predictive power, with an area under the receiver operating characteristic curve of 0.96. The mean #ad was 11 +/- 4 and PFO was 0.08 +/- 0.07. Values above the 90th percentile were considered 'high' for #ad > 17 or PFO > 0.18. There was no difference in mortality for patients admitted during high #ad (odds ratio [OR], 0.95; p = 0.7) or high PFO (OR, 0.99; p = 0.9) versus low. There was no difference in mortality if a patient was admitted on weekends versus weekdays (OR, 0.9; p = 0.2) or at night versus day (OR, 0.9; p = 0.2). There was no difference in hospital length of stay for high #ad, high PFO, nights, or weekends.
Output: Do effect of patient load on trauma outcomes in a Level I trauma center?